Risk Factors and Incidence of Deep Vein Thrombosis in Patients with Diabetic Foot Ulcers: A Single-Center Retrospective Analysis

Risk Factors and Incidence of Deep Vein Thrombosis in Patients with Diabetic Foot Ulcers: A Single-Center Retrospective Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Risk Factors and Incidence of Deep Vein Thrombosis in Patients with Diabetic Foot Ulcers: A Single-Center Retrospective Analysis Qiumin Gao, Ying Qiu, Yiping Li, Wenyu Tao, Feiying Wang, Huijun Yang, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5393914/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective To investigate the incidence of lower extremity deep vein thrombosis (DVT) and associated risk factors in patients with diabetic foot ulcers (DFU). Methods The clinical data of DFU patients hospitalized in the Affiliated Hospital of Yunnan University from January 1, 2020 to December 31, 2023 were analyzed, including demographic characteristics, comorbidities, complications, laboratory tests (such as blood routine test, biochemistry, coagulation, glycosylated hemoglobin). Patients were divided into groups according to the presence or absence of DVT. And t-test, Mann-Whitney U test or chi-squared test were used to screen the relevant factors for the occurrence of DVT in patients with DFU, and logistic regression analysis was used to determine the independent risk factors for the occurrence of DVT in patients with DFU. Results 471 patients with DFU were finally included in this study, and the incidence of DVT was 8.91% (42/471). When the collected data were analyzed for differences, there was a statistical difference between the DFU combined with DVT group and the group without DVT in terms of age, smoking history, diabetic foot site, diabetic retinopathy, atherosclerotic occlusive disease of the lower limbs, absolute value of lymphocytes, erythrocytes, blood potassium, total protein and fasting blood glucose (P < 0.05). One-way logistic regression analyses were performed with whether DFU was combined with DVT as the dependent variable and the above statistically different risk factors as independent variables. Factors that were significant in the univariate analysis (age, smoking history, diabetic foot site, diabetic retinopathy, atherosclerotic occlusive disease of the lower limbs, erythrocytes, total protein, fasting blood glucose, and potassium) were included in the multivariate logistic regression analysis. Multifactorial logistic regression analysis showed that age ≥ 60 years, anterior tibial diabetic foot site, diabetic retinopathy and elevated blood potassium were independent risk factors for DVT complicating DFU (p < 0.05). Conclusion The incidence of DVT was significantly higher in patients with DFU, And age, anterior tibial diabetic foot site, combined diabetic retinopathy, and elevated blood potassium were independent risk factors for DVT complicated by DFU (p < 0.05). diabetic foot ulcer venous thrombosis risk factors Figures Figure 1 Figure 2 Introduction Venous thromboembolism (VTE) is a relatively common and potentially fatal condition in which blood clot abnormally in a vein, forming a thrombus that can block a blood vessel and cause circulatory problems, including deep vein thrombosis (DVT) and pulmonary embolism (PE). Statistically, DVT is estimated to account for approximately 10 million cases per year worldwide, making it the third most common cardiovascular disease (CVD) after heart attack and stroke[1]. Major risk factors for VTE have been identified, including major surgery or trauma, pregnancy, reduced activity, malignancy, oral contraceptives, autoimmune disease and hormone replacement therapy[2]. The risk of VTE in diabetic patients has increased significantly in recent years[3], and in patients with DFU, the need for prolonged bed rest due to reduced mobility results in slower blood flow and higher blood viscosity, making the development of DVT more likely [4]. The occurrence of DVT can severely compromise the venous return of blood to the lower limbs, leading to swelling, pain and gait disturbance in the affected limbs. In the complex case of DFU, impaired blood flow can further lead to ischemia and hypoxia in the distal tissues, ultimately leading to necrosis and amputation. Studies have examined the impact of peripheral arterial disease (PAD) on the healing of diabetic foot ulcers, suggesting that PAD may prolong healing time, increase the risk of infection and even lead to amputation or death[5], but there is still a relative lack of research into the comorbidity of venous disease in patients with diabetic foot ulcers. The aim of this study is to investigate the potential risk factors for DVT complications in patients with DFU. By systematically analyzing and investigating these key factors, we hope to gain a more comprehensive understanding of this clinical phenomenon and provide a scientific basis for clinical practice to improve patient prognosis, reduce the incidence of associated complications and improve patient quality of life. Methods 2.1 Subjects of study 471 patients diagnosed with DFU between 1 January 2020 and 31 December 2023 at Yunnan University Hospital were included in this study. Inclusion criteria were as follows: (1) all patients with diabetic foot ulcers were diagnosed and graded according to the IWGDF/IDSA Guidelines for the Diagnosis and Treatment of Diabetes-Related Foot Infections; (2) all patients were diagnosed according to the European Society for Vascular Surgery Guidelines for Venous Thrombosis 2021 for the diagnosis of DVT: in addition to the patient's symptoms and signs, at least one or more imaging tests such as vascular ultrasound, computed tomography venography, or angiography to detect thrombosis. Exclusion criteria were as follows: (1) exclusion of diabetic patients with hand ulcers, gouty ulcers and cancerous ulcers and other non-diabetic foot ulcers; (2) history of thrombosis or coagulation disorders; (3) patients with incomplete medical records. Enrolled patients were divided into DVT and without DVT groups according to whether DVT occurred after DFU diagnosis. 2.2 Clinical and laboratory information Clinical data of patients during hospitalization were collected, including demographic characteristics, comorbidities, complications, laboratory tests (routine blood, biochemistry, coagulation, infection indicators, glycated hemoglobin). The specific information is shown in Table 2 – 6 . 2.3 Statistical analysis In this study, data were analyzed using R version 4.1.2. Quantitative indicators were reported as mean ± standard deviation. Statistical tests used included independent t-test for normally distributed variables and Wilcoxon rank sum test for skewed variables. Qualitative indicators were expressed as frequencies and percentages and analyzed using the chi-squared test with a significance level of α = 0.05. Binary logistic regression analyses were performed on statistically significant factors in the univariate analyses, with odds ratios (ORs) and their 95% confidence intervals (CIs) presented. For all test, statistical was set at P<0.05. 2.3 Definitions of diabetic chronic complications and comorbidities Diabetic retinopathy was diagnosed by the optometrist or through ophthalmological reports. Diabetic peripheral neuropathy (DPN) was diagnosed based on neuropathic symptoms (such as numbness, tingling, or burning feeling, muscle weakness, etc.) and physical examination (pinprick, temperature sensation, vibration perception, proprioception, 10-g monofilament, and ankle reflexes)[6, 7]. Chronic kidney disease (CKD) was classified into five stages based on the eGFR (G1: eGFR ≥ 90 mL/min per 1.73 m2, G2: 60 to 89 mL/min per 1.73 m2, G3: 30 to 59 mL/min, G4: 15 to 29 mL/min per 1.73 m2,G5: < 15 mL/min per 1.73 m2)[8]. Coronary heart disease was defined as myocardial infarction, angina, percutaneous coronary intervention or bypass surgery. Diagnosis of osteomyelitis was usually based on imaging(foot X-ray and foot MRI) and probe- to-bone test, and bone biopsy or microbial cultures can be used if necessary[9]. Results 3.1 General characteristics of DFU patients and incidence of DVT In this study, 471 DFU patients were finally included, and the incidence of DVT was 8.91% (42/471); More than half of the patients with diabetic foot ulcer were males (68.15%), more than half of the patients were ≥ age 60 years (58.6%), and more than half of the patients had a duration of diabetes for ≥ 10 years (63.48%).The main sites of foot ulcers were toe (39.92%) and anterior tibia (27.18%), followed by dorsum (12.53%), plantar (11.46%) and ankle (8.92%).The main sites of foot ulcers were toe (39.92%) and anterior tibia (27.18%), followed by dorsum (12.53%), plantar (11.46%) and ankle (8.92%).The grades of foot ulcers were mainly grade 2 (41.19%) and grade 3 (32.70%), followed by grade 4 (21.44%), grade 1 (4.25)%) and grade 5 (0.42%).More than 95% of patients with DFU have comorbid diabetic peripheral neuropathy and diabetic peripheral vascular disease.The incidence of PAD in DFU with DVT (35.71%) was higher than that in DFU without DVT (21.45%). Approximately half of the patients have osteomyelitis (Table 2 – 5 ). There were 42 cases (8. 91%) of DFU combined with DVT, of which 29 cases had thrombosis of the intermuscular vein of the lower limb and the rest had thrombosis of the common femoral vein, popliteal vein, fibular vein, superficial femoral vein and other sites, of which 7 cases combined with thrombosis of more than 2 deep veins, namely intermuscular vein & posterior tibial vein in 1 case, superficial femoral vein in 1 case and intermuscular vein & posterior tibial vein in 1 case, superficial femoral vein & popliteal vein in 1 case, 1 case of superficial femoral vein & popliteal vein, 1 case of common femoral vein & popliteal vein thrombosis, 1 case of intermuscular vein & fibular vein thrombosis and 2 cases of common femoral vein + superficial femoral vein & popliteal vein (Table 1 ). 3.2 Clinical and laboratory characteristics of patients with DFU combined with DVT The DFU with DVT group had higher hospitalization costs than the DFU without DVT group.There were statistical differences between the DFU combined with DVT group and the group without DVT in terms of age, smoking history, sugar foot site, diabetic retinopathy, lower limb atherosclerotic occlusive disease, absolute value of lymphocytes, erythrocytes, blood potassium, total protein, and fasting blood glucose (P < 0.05). Age ≥ 60 years, history of smoking, anterior tibial sugar foot site, and concomitant diabetic retinopathy and lower limb atherosclerotic occlusive disease accounted for a higher proportion of the DFU-combined DVT group compared with the uncomplicated DVT group. Among the laboratory test indices, there were statistical differences between the DFU combined with DVT group and the group without DVT in the absolute value of lymphocytes, erythrocytes, blood potassium, total protein, and fasting blood glucose (P < 0.05) (Tables 2 – 6 ). 3.3 Univariate logistic regression analysis of DVT occurrence in DFU patients One-way logistic regression analysis was performed with the dependent variable of DFU and the independent variables of age, smoking history, diabetic foot site, diabetic retinopathy, lower limb atherosclerotic occlusive disease, absolute value of lymphocytes, erythrocytes, total protein, fasting blood glucose and potassium. The results showed that age ≥ 60 years, history of smoking, diabetic foot location in the anterior tibia, combination of diabetic retinopathy and combination of lower limb atherosclerotic occlusive disease increased the risk of DFU complicating VTE (P < 0.05). Higher erythrocyte, total protein and fasting glucose decreased the risk of DFU with VTE, whereas higher potassium increased the risk of DFU with VTE (P < 0.05). Absolute lymphocyte counts did not correlate with the occurrence of DFU-complicated VTE (Table 7 ). 3.4 Multifactorial Logistic Regression Analysis of DVT in DFU Patients Results of the binary logistic regression models are shown in Table 8 . After adjustment of the baseline predictors, Age ≥ 60 years old(OR, 5.45;95% CI, 2.00-14.82, P =<0.001)、anterior tibial diabetic foot site (OR, 4.99;95% CI, 1.05–23.67, P = 0.043) 、Complicated with diabetes retinopathy (OR,2.39;95% CI, 1.15–4.94, P = 0.019)and elevated blood potassium(OR,2.18;95% CI, 1.24–3.86, P = 0.007) ignificantly associated with DVT.In addition to Diabetic nephropathy, Age ≥ 60 years old(OR, 5.33;95% CI, 1.96–14.46, P =<0.001)、anterior tibial diabetic foot site (OR, 5.39;95% CI, 1.11–26.25, P = 0.037) 、Complicated with diabetes retinopathy (OR,2.54;95% CI, 1.22–5.32, P = 0.013)and elevated blood potassium(OR,2.29;95% CI, 1.29–4.06, P = 0.005)significantly associated with DVT in the Model 2.Finally, in the full Model3, Age ≥ 60 years old(OR, 5.44;95% CI, 1.98–14.92, P =<0.001)、anterior tibial diabetic foot site(OR, 5.59;95% CI, 1.23–27.76, P = 0.035) 、Complicated with diabetes retinopathy(OR,2.50;95% CI, 1.19–5.26, P = 0.016)and elevated blood potassium(OR,2.30;95% CI, 1.30–4.09, P = 0.004)were the independent risk factors of DVT (Table 8 ). The ordinal logistic regression model was assessed validity with the test of parallel lines (P > 0.05),and significance was confirmed by − 2log likelihood (P < 0.001). 3.5 Prognosis A three-month follow-up of DFU patients revealed a healing rate of 23.80% for those with DVT and 72.26% for those without. Compared with patients without DVT, patients with DVT have a significantly lower three-month cure rate. A telephone follow-up revealed a mortality rate of 42.85% for DFU patients with DVT within three years. Discussion In this study, we analyzed 471 patients with diabetic foot ulcers to determine the association between diabetic foot ulcers and DVT and the risk factors for DVT. Typical wounds such as diabetic foot ulcers, venous leg ulcers, pressure ulcers and arterial ulcers account for more than 70% of chronic wounds, and the local inflammatory response, altered blood flow due to prolonged presence, and possible systemic coagulation abnormalities in patients with chronic wounds combine to increase the risk of VTE formation [10]. The relationship between diabetic foot ulcers, a typical chronic inflammatory wound, and venous thromboembolism (VTE) has not been adequately investigated. In this study, we investigated the risk factors for the complication of DVT in patients with DFU and analyzed the potential association of these factors with the development of DVT. It will help both endocrinologists and surgeons to formulate treatment strategies to properly prevent the occurrence of this disease. 4.1 High prevalence of VTE in DFU patients In this study, the incidence of DVT in patients with DFU was statistically 8.91%, and this high incidence may be closely related to the chronic persistent inflammation experienced by patients with DFU. This chronic inflammation not only damages the vascular endothelium, but may also disrupt the local microenvironmental balance, leading to reduced blood fluidity and abnormal coagulation processes, creating conditions for thrombus formation, and the combination of these factors may have contributed to the increased incidence of DVT in DFU patients.A study in Germany found that the Patients with diabetic foot ulcers cumulative mortalities at years 1, 3, 5, and 10 were 15.4, 33.1, 45.8, and 70.4%, respectively[11]. In this study, the mortality rate of DFU with DVT within 3 years was 42.85%, which was significantly higher than that of patients without DVT. Patients with diabetes are at high risk of vascular thrombotic disorders, a risk that is closely related to the metabolic disturbances that characterize diabetes. In the pathological state of diabetes mellitus, insulin resistance, persistent hyperglycemia and excessive release of free fatty acids from the bloodstream affect the vascular wall through a complex series of biological events leading to endothelial dysfunction, increased platelet activity, oxidative stress and a chronic low-grade inflammatory state. These pathological changes not only exacerbate vasoconstriction but also promote the process of thrombosis [12–14]. This risk is exacerbated in the presence of diabetic foot ulcers. Not only does the presence of an ulcer reflect severe local vascular insufficiency, but factors such as local hyperglycemia, an intense inflammatory response and persistent infection combine to create a high-risk environment for thrombosis (Fig. 1). 4.2 Identification of risk factors associated with VTE in DFU patients Age has been identified in numerous studies as a risk factor strongly associated with deep vein thrombosis (DVT) and has been widely noted and discussed[15, 16]. In this study, we found that patients with diabetic foot ulcers (DFUs) aged 60 years and older had a significantly increased risk of developing DVT, and age was recognized as an independent risk factor. Circulatory changes, reduced mobility and decreased muscle tone make older people more susceptible to developing chronic wounds[17]. In addition, reduced mobility, malnutrition, the presence of underlying cardiovascular disease and poorly controlled diabetes are strong predictors of chronic wound development and delayed healing[18]. In general, people over the age of 60 are more likely to develop DVT, and 88.1% of patients with combined lower extremity DVT in this study were aged ≥ 60 years. With age, the walls of the body's blood vessels and the inner walls of the veins become more fragile, blood circulation slows down and the levels of clotting factors in the blood increase; the hypercoagulable state of the blood, damage to the walls of the veins and slow venous blood flow are the main factors affecting DVT [19]. It may also be related to the long duration of diabetes in elderly patients with multiple comorbidities and diabetic complications, all of which increase the risk of VTE. Therefore, more careful assessment and individualized treatment plans are needed for elderly patients with DFU to reduce the risk of DVT and promote wound healing. A diabetic foot located in the anterior tibial area can lead to an increased incidence of venous thrombosis in the lower extremities, which may be related to the site of infection. Excessive oxidative stress is present in the body when the organism is in a DM state, which can damage cells and cause cell death, ultimately leading to tissue damage[20–22]. Patients with DM often have comorbid abnormalities in lipid metabolism, and the combination of high glucose and lipid levels promotes the production and release of inflammatory mediators, ultimately leading to a persistent high inflammatory state [23], which usually requires anti-infective treatment. Acute infections have been identified as a trigger for venous thromboembolism, and a case-crossover study assessed the risk of venous thromboembolism after hospitalization for infection[24]using data from the Atherosclerosis Risk in Communities (ARIC) study, which showed a 2.7-fold increased risk of VTE with hospitalization for infection in the previous 30 days compared with control periods in the previous 1 and 2 years. In addition, diabetic foot ulcers often lead to activity limitations in patients, and reduced activity may also increase the risk of VTE. For patients who need to control infections, antibiotic use should be selected based on drug susceptibility results whenever possible to avoid cross-use of antibiotics, which can lead to drug resistance and increase the risk of thrombosis. In patients with diabetic leg ulcers, it is also important to encourage patients to get out of bed. The increased risk of DVT in DFU patients with concomitant diabetic retinopathy in this study suggests that systemic microangiopathy may be a systemic risk factor for the development of DVT. Diabetic retinopathy is one of the most common microvascular complications in diabetic patients, and its presence usually indicates that the systemic microvasculature may be affected[25]. Some studies have shown that patients with retinal vein occlusion have higher whole blood and plasma viscosity and plasma fibrinogen levels compared to controls[26], and the elevation of these biomarkers may indicate a hypercoagulable state of the blood, which is closely related to the development of DVT. In the management of patients with diabetic foot, microvascular thrombosis often occurs in association with an inflammatory response. This interaction of inflammation and thrombosis may exacerbate microvascular damage, which in turn increases the risk of DVT. Diabetic vasculopathy is often divided into macrovascular and microvascular lesions, and diabetic retinopathy is not only an important indicator of microvascular damage in diabetes, but may also be a marker for increased risk of diabetic macrovascular lesions such as DVT (Fig. 2). Therefore, patients with DFU, especially those who have developed diabetic retinopathy, need to be more aware of the potential threat of DVT and take appropriate preventive measures. Several clinical studies have shown that electrolyte disorders, particularly hyperkalemia, are associated with an increased risk of venous thromboembolism [27]. The relevant mechanisms may be 1) elevated potassium inhibits free radical formation in vascular endothelial cells and macrophages; 2) elevated potassium inhibits vascular smooth muscle cell proliferation; 3) platelet aggregation and arterial thrombosis are inhibited by elevated potassium; and 4) elevated plasma potassium decreases renal vascular resistance and increases glomerular filtration rate[28], but in contrast to the present study, in which elevated plasma potassium was the cause of the increased risk of concomitant DFU with DVT results, considering that 57. 14% of the patients with DFU complicating DVT in this study had diabetic nephropathy (CKD), and that disturbances in electrolyte homeostasis (e.g. hyperkalemia) are risk factors, Future studies investigating the complex relationship between blood potassium levels and the risk of thrombosis should increase the sample size and take into account other possible confounding factors such as patients' general health, comorbidities and the presence of other electrolyte levels. 4.3 Study limitations and future research directions Although this study provides preliminary morbidity data on the occurrence of DVT in patients with DFU, there are some limitations. First, this study is a retrospective study of a single medical center, which may lead to selection bias. The lower number of DFU with DVT is good for patients, but it reduces our sample size. The small sample size limited our ability to perform in-depth analyses and establish causality. Secondly, the retrospective design of the study and the time period of 3 years may have introduced a degree of variability into the results, which may have affected the stability and generalizability of the findings. Despite these limitations, this study provides new perspectives for understanding and managing the risk of DVT in patients with DFU. Future studies need to be conducted in larger populations to investigate the specific effects of different levels of diabetes control and treatment on the incidence of DVT. In addition, the biological mechanisms underlying these risk factors should be further investigated and personalized risk assessment tools should be developed. By identifying and quantifying these risk factors, clinicians will be able to more accurately assess the risk of DVT in patients with DFU and develop effective prevention and intervention strategies accordingly. Conclusion The mortality rate within 3 years was 42.85% with DFU with DVT, which was significantly higher than that of DFU without DVT, and the cost of hospitalization with DFU with DVT was higher than that of DFU without DVT, Early identification of risk factors is needed to reduce the incidence of DVT, thereby reducing mortality and reducing the burden on the family. The eventual occurrence of VTE in DFU patients is the result of a combination of risk factors. In addition to the traditional risk factors (age, hyperlipidemia, hypertension, etc.), chronic inflammation, microangiopathy and metabolic disorders also play an important role in thrombosis. Therefore, DFU patients with poor glycemic control, especially the elderly, should be adequately assessed for the risk of VTE, and treatment should be carefully selected, with prophylactic anticoagulation, if necessary, to reduce the incidence of VTE. The management of patients with DFU requires a multidisciplinary team, including endocrinologists, vascular surgeons, hand and foot surgeons, nutritionists, etc., working together to provide comprehensive assessment and treatment of the patient. Through this comprehensive, multidimensional management strategy, more precise and personalized medical care can be provided to DFU patients, effectively reducing the incidence of VTE and improving the overall prognosis of patients. Declarations Author Contributions: QG conceived the paper.QG and YQ wrote the article.QG、YQ、YL、WT、FW、HY、YF and YY revised the figures and reviewed the article. All authors reviewed and approved the final version of the manuscript. Funding : This study was supported by the following projects and departments;Key specialty in Yunnan Province [202301AY070001-013];Academician Expert Workstation [202305AF150097] Disclosure Summary : The authors declare no known competing financial interests. Data Availability ： Some or all datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request. Ethics approval and consent to participate: This study was approved by the Ethics Committee of the Affiliated Hospital of Yunnan University and all participants provided informed consent before enrollment. References Gutmann C, Siow R, Gwozdz AM, Saha P, Smith A (2020) Reactive Oxygen Species in Venous Thrombosis. Int J Mol Sci 21. Righini M, Le Gal G, Bounameaux H (2015) Venous thromboembolism diagnosis: unresolved issues. Thromb Haemost 113: 1184-1192. 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Type of thrombosis n Interscalene vein thrombosis 29 Common femoral vein thrombosis 1 Popliteal vein thrombosis 2 Anterior tibial vein thrombosis 1 Peroneal vein thrombosis 1 Superficial femoral vein thrombosis 1 Interscalene vein thrombosis+ Posterior tibial vein thrombosis 1 Superficial femoral vein thrombosis+ Popliteal vein thrombosis 2 Common femoral vein thrombosis+ Popliteal vein thrombosis 1 Interscalene vein thrombosis+ Peroneal vein thrombosis 1 Common femoral vein thrombosis+ Superficial femoral vein thrombosis+ Popliteal vein thrombosis 2 Table 2. Variables included in this study. Categories of variables Specific variable Demographic measures Age, gender (male or female), BMI, WHR, BP, smoking (current or ever), drinking (current or ever), Hospital stays, Hospitalization expensive, Duration of diabetes, Healing in three months diabetic comorbidities and complications Hypertension, Coronary heart diseases, Myocardial, Cerebral infarction, Diabetes nephropathy, Diabetes retinopathy, Diabetic peripheral vascular disease, Diabetic peripheral neuropathy, Arteriosclerosis obliterans of lower extremity foot-related characteristics Osteomyelitis, Diabetic foot site, Wagner grade Laboratory finding White blood cell count, neutrophil absolute, lymphocyte absolute value, red blood cell count, hemoglobin, platelet, potassium in the blood, uric acid, prothrombin time, fibrinogen, triglycerides, total cholesterol, high-density lipoprotein, low-density lipoprotein, total protein, albumin, Fasting blood glucose, Glycosylated hemoglobin, procalcitonin, C-Reactive Protein Table 3. Baseline demographic among the DFU without DVT，DFU with DVT Total (n = 471) DFU without DVT (n = 429) DFU with DVT (n = 42) χ²/t/Z P Demographics Age n(%) ＜60yr 195(41.40%) 190(44.29%) 5(11.90%) χ²=16.54 ＜ 0.001 ≥60yr 276(58.60%) 239(55.71%) 37(88.1%) Gender n(%) Male 321(68.15%) 295(68.76%) 26(61.9%) χ²=0.83 0.362 Female 150(31.85%) 134(31.24%) 16(38.10%) WHO 0.95 ± 0.08 0.95 ± 0.08 0.95 ± 0.07 t=-0.27 0.786 BMI(kg/㎡) 24.00 ± 3.76 24.01 ± 3.80 23.86 ± 3.46 t=0.25 0.802 SBP(mmHg) 130.23 ± 23.79 130.10±23.65 131.50 ± 25.40 t=-0.36 0.717 DBP(mmHg) 78.27 ± 13.85 78.49 ± 13.83 76.00 ± 14.01 t=1.11 0.267 Smoking Yes 161 (34.18) 140 (32.63) 21 (50.00) χ²=5.13 0.024 No 310 (65.82) 289 (67.37) 21 (50.00) Drinking Yes 196 (41.61) 180 (41.96) 16 (38.10) χ²=0.23 0.628 No 275 (58.39) 249 (58.04) 26 (61.90) Diabetes-related characteristics Hospital stays(day) 10.98 ± 3.72 11.05 ± 3.72 10.31 ± 3.69 t=1.23 0.221 Hospitalization expensive(rmb) 18269.88（12054.74,24943.15） 18179.77（11952.99,24929） 19894.67（13719.30,25505.54） Z=-1.14 0.254 Duration of diabetes n(%) ＜10ys 172 (36.52) 156 (36.36) 16 (38.10) χ²=0.05 0.824 ≥10ys 299 (63.48) 273 (63.64) 26 (61.90) Healing in three month n(%) Yes No 320(67.94) 310(72.27) 10(23.81) χ²=41.23 ＜ 0.001 151(32.06) 119(27.73) 32(76.19) Table 4. Comparison of diabetic comorbidities and complications among the DFU without DVT，DFU with DVT. Variable n(%) Total (n = 471) DFU without DVT (n = 429) DFU with DVT (n = 42) χ² P Hypertension Yes 243 (51.59) 218 (50.82) 25 (59.52) χ²=1.16 0.281 No 228 (48.41) 211 (49.18) 17 (40.48) Coronary heart diseases Yes No 59 (12.53) 55 (12.82) 4 (9.52) χ²=0.38 0.538 412 (87.47) 374 (87.18) 38 (90.48) Myocardial Yes No 17 (3.61) 16 (3.73) 1 (2.38) χ²=0.00 0.989 454 (96.39) 413 (96.27) 41 (97.62) Cerebral infarction Yes No 58 (12.31) 51 (11.89) 7 (16.67) χ²=0.81 0.368 413 (87.69) 378 (88.11) 35 (83.33) Diabetes nephropathy Yes No 293 (62.21) 269 (62.70) 24 (57.14) χ²=0.50 0.478 178 (37.79) 160 (37.30) 18 (42.86) Diabetes retinopathy Yes No 147 (31.21) 127 (29.60) 20 (47.62) χ²=5.78 0.016 324 (68.79) 302 (70.40) 22 (52.38) Diabetic peripheral vascular disease Yes 452 (95.97) 411 (95.80) 41 (97.62) χ²=0.03 0.873 No 19 (4.03) 18 (4.20) 1 (2.38) Diabetic peripheral neuropathy Yes 458 (97.24) 418 (97.44) 40 (95.24) χ²=0.11 0.737 No 13 (2.76) 11 (2.56) 2 (4.76) Arteriosclerosis obliterans of lower extremity Yes 107 (22.72) 92 (21.45) 15 (35.71) χ²=4.44 0.035 No 364 (77.28) 337 (78.55) 27 (64.29) Table 5. Laboratory data among the DFU without DVT，DFU with DVT. variables Total (n = 471) DFU without DVT (n = 429) DFU with DVT (n = 42) Z P WBC（109L） 7.65 (6.29, 10.16) 7.59 (6.35, 9.99) 8.53 (5.95, 11.49) Z=-0.94 0.349 NEU（109L） 5.29 (3.92, 7.42) 5.27 (3.95, 7.36) 6.04 (3.79, 9.67) Z=-1.00 0.315 Lym（109L） 1.50 (1.16, 1.96) 1.54 (1.18, 2.00) 1.22 (1.09, 1.66) Z=-2.50 0.012 RBC（1012L） 4.23 (3.69, 4.69) 4.25 (3.70, 4.72) 3.91 (3.49, 4.43) Z=-2.18 0.029 Hb（g/L） 126.00 (109.00, 143.50) 127.00 (110.00, 144.00) 124.00 (102.50, 136.25) Z=-1.22 0.224 PLT（109L） 252.00 (197.00, 312.50) 253.00 (198.00, 313.00) 235.00 (184.00, 287.50) Z=-1.57 0.116 K + （mmol/L） 3.95 (3.63, 4.33) 3.94 (3.61, 4.32) 4.17 (3.83, 4.51) Z=-2.26 0.024 UA（umolL） 338.00 (270.50, 414.00) 338.00 (271.00, 408.00) 352.00 (272.25, 477.00) Z=-1.35 0.176 PT (S) 11.60 (11.00, 12.40) 11.60 (11.00, 12.40) 11.80 (11.30, 12.70) Z=-1.13 0.260 FIB (g/L) 4.60 (3.37, 6.51) 4.60 (3.30, 6.50) 4.64 (4.03, 6.49) Z=-0.54 0.589 TG（mmolL） 1.23 (0.92, 1.70) 1.24 (0.93, 1.73) 1.17 (0.82, 1.46) Z=-1.36 0.175 TC（mmolL） 3.86 (3.10, 4.63) 3.85 (3.09, 4.63) 3.97 (3.37, 4.53) Z=-0.95 0.340 HDL-C（mmol/L） 0.89 (0.69, 1.09) 0.88 (0.68, 1.09) 0.93 (0.78, 1.13) Z=-1.68 0.093 LDL-C（mmol/L） 2.19 (1.58, 2.82) 2.17 (1.57, 2.82) 2.40 (1.73, 2.90) Z=-0.90 0.369 TP（g/l) 62.70 (58.30, 66.70) 62.90 (58.50, 67.10) 60.45 (55.82, 64.50) Z=-2.49 0.013 Alb（g/l) 33.70 (29.30, 36.70) 33.70 (29.40, 36.70) 33.45 (28.12, 35.88) Z=-1.06 0.290 FBG（mmol/L） 7.33 (5.39, 9.74) 7.50 (5.43, 9.96) 6.63 (5.00, 7.42) Z=-2.37 0.018 HbA1c 9.30 (7.40, 11.15) 9.30 (7.50, 11.20) 8.50 (7.25, 10.75) Z=-1.07 0.285 PCT(ng/ml) 0.07（0.04, 0.18） 0.07（0.04, 0.18） 0.11（0.05, 0.20） Z=-1.09 0.275 CRP(mg/dl) 16.70（3.30, 67.00） 16.70（3.20, 67.35） 17.90（5.38, 68.48） Z=-0.51 0.609 Values are presented as number, median (IQR), or mean ± standard deviation.BMI：Body mass index；WHR：Waist-to-hip ratio；BP：Systolic blood pressure；DP：Diastolic blood pressure；WBC：white blood cell；NEU：Neutrophil absolute ;Lym：Lymphocyte absolute value；RBC：red blood cells；Hb ：haemoglobin；PLT：platelet；K+：Potassium in the blood；UA：uric acid；PT：Prothrombin time；FIB ：fibrinogen；TG：Triglycerides；TC：Total cholesterol；HDLC：high-density lipoprotein；LDLC：Low-density lipoprotein；TP：Total protein； Alb：albumin； FPG：Fasting blood glucose; HbA1c：Glycosylated hemoglobin；PCT：procalcitonin ；CRP：C-Reactive Protein Table 6. Comparison of foot-related characteristics among the DFU without DVT，DFU with DVT. Variable n(%) Total (n = 471) DFU without DVT (n = 429) DFU with DVT (n = 42) χ² P Osteomyelitis Yes 240 (50.96) 223 (51.98) 17 (40.48) χ²=2.03 0.155 No 231 (49.04) 206 (48.02) 25 (59.52) Diabetic foot site Instep 59 (12.53) 57 (13.29) 2 (4.76) χ²=11.74 0.019 Toes 188 (39.92) 173 (40.33) 15 (35.71) Plantar 54 (11.46) 53 (12.35) 1 (2.38) Ankles 42 (8.92) 37 (8.62) 5 (11.90) Tibia 128 (27.18) 109 (25.41) 19 (45.24) Wagner grade 1 20 (4.25) 17 (3.96) 3 (7.14) - 0.199 2 194 (41.19) 172 (40.09) 22 (52.38) 3 154 (32.70) 146 (34.03) 8 (19.05) 4 101 (21.44) 92 (21.45) 9 (21.43) 5 2 (0.42) 2 (0.47) 0 (0.00) Table 7. Results of One-way logistic regression analysis. variables β Wald P OR 95%CI Age n(%) ＜60yr ≥60yr 1.77 13.279 <0.001 5.88 (2.27 ~ 15.26) Smoking n(%) Yes 0.72 4.963 0.026 2.06 (1.09 ~ 3.91) No Diabetic foot site n(%) Instep Toes 0.90 1.387 0.239 2.47 (0.55 ~ 11.14) Plantar -0.62 0.251 0.617 0.54 (0.05 ~ 6.10) Ankles 1.35 2.442 0.118 3.85 (0.71 ~ 20.90) Tibia 1.60 4.435 0.035 4.97 (1.12 ~ 22.08) Diabetic retinopathy n(%) Yes 0.77 5.573 0.018 2.16 (1.14 ~ 4.10) No Arteriosclerosis occlusive disease of the lower extremities n(%) Yes 0.71 4.295 0.038 2.04 (1.04 ~ 3.98) No Lym（109L） -0.50 3.268 0.071 0.61 (0.36 ~ 1.04) RBC（1012L） -0.48 5.046 0.025 0.62 (0.41 ~ 0.94) TP（g/L) -0.06 7.446 0.006 0.94 (0.90 ~ 0.98) FBG（mmolL） -0.13 5.985 0.014 0.88 (0.79 ~ 0.97) K + （mmol/L） 0.59 5.564 0.018 1.81 (1.11 ~ 2.97) Table 8. The binary logistic regression analysis of without DVT and with DVT risks in patients with diabetic foot ulcers. Model 1 OR (95%CI) Model 2 OR (95%CI) Model 3 OR (95%CI) Age ＜60yr ≥60yr 5.45(2.00 ~ 14.82) ＊ 5.33(1.96~14.46) ＊ 5.44(1.98~14.92) ＊ Gender / Male 0.56(0.26~1.21) 0.55(0.25~1.198) Female Smoking Yes 1.85(0.90 ~ 3.80) 1.74(0.84~3.61) 1.75(0.84~3.62) No Duration of diabetes n(%) / ＜10ys ≥10ys Diabetic foot site Instep Toes 1.42(0.29 ~ 6.80) 1.57(0.32~7.64) 1.60(0.33~7.87) Plantar 0.46(0.04 ~ 5.71) 0.54(0.04~6.68) 0.54(0.04~7.80) Ankles 3.20(0.54 ~ 18.94) 2.98(0.49~18.10) 3.01(0.50~18.28) Tibia 4.99(1.05 ~ 23.67) ＊ 5.39(1.11~26.25) ＊ 5.59(1.23~27.76) ＊ Diabetic retinopathy Yes 2.39(1.15 ~ 4.94) ＊ 2.54(1.22~5.32) ＊ 2.50(1.19~5.26) ＊ No Arteriosclerosis occlusive disease of the lower extremities Yes 1.93(0.87 ~ 4.26) 2.06(0.92~4.61) 2.03(0.90~4.58) No PCT / / 0.97(0.62~1.51) FIB / / 1.03(0.85~1.25) RBC（1012L） 0.67(0.41 ~ 1.07) 0.64(0.39~1.03) 0.64(0.39~1.05) TP（g/L) 0.97(0.92 ~ 1.02) 0.96(0.92~1.02) 0.96(0.92~1.02) FBG（mmolL） 0.90(0.80 ~ 1.01) 0.90(0.80~1.00) 0.89(0.79~1.01) K + （mmol/L） 2.18(1.24 ~ 3.86) ＊ 2.29(1.29~4.06) ＊ 2.30(1.30~4.09) ＊ OR, odds ratio; CI, confidence interval. Binary logistic regression was used to identify potential predictors of DVT and OR was calculated using the "without DVT" subgroup as a baseline. Model 1 was adjusted for age, smoking history, diabetic foot site, diabetic retinopathy, lower extremity arteriosclerosis obliterans, RBC, TP, FBG, K+. Model 2 was adjusted diabetic nephropathy on the basis of Model 1. *P < 0.05。 Model 3 was adjusted for FIB and PCT on the basis of Model 2. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5393914","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":383076112,"identity":"99dba2cf-b6be-422c-8c39-107c20be35ea","order_by":0,"name":"Qiumin Gao","email":"","orcid":"","institution":"Second People's Hospital of Yunnan Province","correspondingAuthor":false,"prefix":"","firstName":"Qiumin","middleName":"","lastName":"Gao","suffix":""},{"id":383076115,"identity":"098a85a4-feea-4b80-bb1b-5ad12b8a61c3","order_by":1,"name":"Ying Qiu","email":"","orcid":"","institution":"Second People's Hospital of Yunnan Province","correspondingAuthor":false,"prefix":"","firstName":"Ying","middleName":"","lastName":"Qiu","suffix":""},{"id":383076117,"identity":"c07aa7ee-de46-487f-bf6d-33233fd37aab","order_by":2,"name":"Yiping Li","email":"","orcid":"","institution":"Second People's Hospital of Yunnan Province","correspondingAuthor":false,"prefix":"","firstName":"Yiping","middleName":"","lastName":"Li","suffix":""},{"id":383076119,"identity":"769ddb94-bf15-41c8-8768-84a5e7c0b192","order_by":3,"name":"Wenyu Tao","email":"","orcid":"","institution":"Second People's Hospital of Yunnan Province","correspondingAuthor":false,"prefix":"","firstName":"Wenyu","middleName":"","lastName":"Tao","suffix":""},{"id":383076120,"identity":"02c2ee9b-69c5-4d0b-b8ad-3656ebe9925f","order_by":4,"name":"Feiying Wang","email":"","orcid":"","institution":"Second People's Hospital of Yunnan 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Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDklEQVRIiWNgGAWjYNACAwYGfmb+jw8+wLnEaJFsbzA2nEG8FpCyMwfMpHmI0WJw/Ozh1zwFd+wabiQkSNu23UlsYG/eJsFQcweP4Xlp1jwGz5IbZyQcMM5te5bYwHOsTILh2DPcWg7kmBnzGBxOZpZIbEjObTuc2CCRYybB2HAYt5bzbyBa2CSSGQ5bgrTIvyGg5UaO8WOgFjsenmOMzYxgW3jwa5G88caMcY7B4QQJ9h5mxp5zh43beNKKLRKO4dbCdz7H+MObP4ft7Q/zsP/4UXZYtp/98MYbH2pwa1E4wMAmBYyOxAYQj5GNgYENxEjAqYGBQb6BgfnjDwYGewj3Dx6lo2AUjIJRMGIBAAXXW9yGQ2ixAAAAAElFTkSuQmCC","orcid":"","institution":"Second People's Hospital of Yunnan Province","correspondingAuthor":true,"prefix":"","firstName":"Ying","middleName":"","lastName":"Yang","suffix":""}],"badges":[],"createdAt":"2024-11-05 09:08:43","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5393914/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5393914/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":71513169,"identity":"63481bc2-4966-44eb-b846-0600064e692e","added_by":"auto","created_at":"2024-12-16 10:41:06","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":2340148,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend\u003c/p\u003e","description":"","filename":"Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-5393914/v1/accae603d931340e64bd041a.png"},{"id":71513168,"identity":"975a8d63-05ce-428e-9ac3-5d23fa3ce055","added_by":"auto","created_at":"2024-12-16 10:41:06","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":1647839,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-5393914/v1/d0d96d7f46c503a527ae24f5.png"},{"id":71515452,"identity":"43a9c1b0-7fd1-4a70-bcbd-a0491f79c8e5","added_by":"auto","created_at":"2024-12-16 11:05:13","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5018940,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5393914/v1/be8c26cd-02c2-4cd0-9498-75afd3c5c117.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Risk Factors and Incidence of Deep Vein Thrombosis in Patients with Diabetic Foot Ulcers: A Single-Center Retrospective Analysis","fulltext":[{"header":"Introduction","content":"\u003cp\u003eVenous thromboembolism (VTE) is a relatively common and potentially fatal condition in which blood clot abnormally in a vein, forming a thrombus that can block a blood vessel and cause circulatory problems, including deep vein thrombosis (DVT) and pulmonary embolism (PE). Statistically, DVT is estimated to account for approximately 10\u0026nbsp;million cases per year worldwide, making it the third most common cardiovascular disease (CVD) after heart attack and stroke[1]. Major risk factors for VTE have been identified, including major surgery or trauma, pregnancy, reduced activity, malignancy, oral contraceptives, autoimmune disease and hormone replacement therapy[2]. The risk of VTE in diabetic patients has increased significantly in recent years[3], and in patients with DFU, the need for prolonged bed rest due to reduced mobility results in slower blood flow and higher blood viscosity, making the development of DVT more likely [4]. The occurrence of DVT can severely compromise the venous return of blood to the lower limbs, leading to swelling, pain and gait disturbance in the affected limbs. In the complex case of DFU, impaired blood flow can further lead to ischemia and hypoxia in the distal tissues, ultimately leading to necrosis and amputation. Studies have examined the impact of peripheral arterial disease (PAD) on the healing of diabetic foot ulcers, suggesting that PAD may prolong healing time, increase the risk of infection and even lead to amputation or death[5], but there is still a relative lack of research into the comorbidity of venous disease in patients with diabetic foot ulcers. The aim of this study is to investigate the potential risk factors for DVT complications in patients with DFU. By systematically analyzing and investigating these key factors, we hope to gain a more comprehensive understanding of this clinical phenomenon and provide a scientific basis for clinical practice to improve patient prognosis, reduce the incidence of associated complications and improve patient quality of life.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\"\u003e\n \u003ch2\u003e2.1 Subjects of study\u003c/h2\u003e\n \u003cp\u003e471 patients diagnosed with DFU between 1 January 2020 and 31 December 2023 at Yunnan University Hospital were included in this study. Inclusion criteria were as follows: (1) all patients with diabetic foot ulcers were diagnosed and graded according to the IWGDF/IDSA Guidelines for the Diagnosis and Treatment of Diabetes-Related Foot Infections; (2) all patients were diagnosed according to the European Society for Vascular Surgery Guidelines for Venous Thrombosis 2021 for the diagnosis of DVT: in addition to the patient\u0026apos;s symptoms and signs, at least one or more imaging tests such as vascular ultrasound, computed tomography venography, or angiography to detect thrombosis. Exclusion criteria were as follows: (1) exclusion of diabetic patients with hand ulcers, gouty ulcers and cancerous ulcers and other non-diabetic foot ulcers; (2) history of thrombosis or coagulation disorders; (3) patients with incomplete medical records. Enrolled patients were divided into DVT and without DVT groups according to whether DVT occurred after DFU diagnosis.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec4\"\u003e\n \u003ch2\u003e2.2 Clinical and laboratory information\u003c/h2\u003e\n \u003cp\u003eClinical data of patients during hospitalization were collected, including demographic characteristics, comorbidities, complications, laboratory tests (routine blood, biochemistry, coagulation, infection indicators, glycated hemoglobin). The specific information is shown in Table\u0026nbsp;\u003cspan\u003e2\u003c/span\u003e\u0026ndash;\u003cspan\u003e6\u003c/span\u003e.\u003c/p\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec5\"\u003e\n \u003ch2\u003e2.3 Statistical analysis\u003c/h2\u003e\n \u003cp\u003eIn this study, data were analyzed using R version 4.1.2. Quantitative indicators were reported as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation. Statistical tests used included independent t-test for normally distributed variables and Wilcoxon rank sum test for skewed variables. Qualitative indicators were expressed as frequencies and percentages and analyzed using the chi-squared test with a significance level of \u0026alpha;\u0026thinsp;=\u0026thinsp;0.05. Binary logistic regression analyses were performed on statistically significant factors in the univariate analyses, with odds ratios (ORs) and their 95% confidence intervals (CIs) presented. For all test, statistical was set at P\u0026lt;0.05.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\"\u003e\n \u003ch2\u003e2.3 Definitions of diabetic chronic complications and comorbidities\u003c/h2\u003e\n \u003cp\u003eDiabetic retinopathy was diagnosed by the optometrist or through ophthalmological reports. Diabetic peripheral neuropathy (DPN) was diagnosed based on neuropathic symptoms (such as numbness, tingling, or burning feeling, muscle weakness, etc.) and physical examination (pinprick, temperature sensation, vibration perception, proprioception, 10-g monofilament, and ankle reflexes)[6, 7]. Chronic kidney disease (CKD) was classified into five stages based on the eGFR (G1: eGFR\u0026thinsp;\u0026ge;\u0026thinsp;90 mL/min per 1.73 m2, G2: 60 to 89 mL/min per 1.73 m2, G3: 30 to 59 mL/min, G4: 15 to 29 mL/min per 1.73 m2,G5: \u0026lt; 15 mL/min per 1.73 m2)[8]. Coronary heart disease was defined as myocardial infarction, angina, percutaneous coronary intervention or bypass surgery. Diagnosis of osteomyelitis was usually based on imaging(foot X-ray and foot MRI) and probe- to-bone test, and bone biopsy or microbial cultures can be used if necessary[9].\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec8\"\u003e\n \u003ch2\u003e3.1 General characteristics of DFU patients and incidence of DVT\u003c/h2\u003e\n \u003cp\u003eIn this study, 471 DFU patients were finally included, and the incidence of DVT was 8.91% (42/471); More than half of the patients with diabetic foot ulcer were males (68.15%), more than half of the patients were \u0026ge;\u0026thinsp;age 60 years (58.6%), and more than half of the patients had a duration of diabetes for \u0026ge;\u0026thinsp;10 years (63.48%).The main sites of foot ulcers were toe (39.92%) and anterior tibia (27.18%), followed by dorsum (12.53%), plantar (11.46%) and ankle (8.92%).The main sites of foot ulcers were toe (39.92%) and anterior tibia (27.18%), followed by dorsum (12.53%), plantar (11.46%) and ankle (8.92%).The grades of foot ulcers were mainly grade 2 (41.19%) and grade 3 (32.70%), followed by grade 4 (21.44%), grade 1 (4.25)%) and grade 5 (0.42%).More than 95% of patients with DFU have comorbid diabetic peripheral neuropathy and diabetic peripheral vascular disease.The incidence of PAD in DFU with DVT (35.71%) was higher than that in DFU without DVT (21.45%). Approximately half of the patients have osteomyelitis (Table\u0026nbsp;\u003cspan\u003e2\u003c/span\u003e\u0026ndash;\u003cspan\u003e5\u003c/span\u003e). There were 42 cases (8. 91%) of DFU combined with DVT, of which 29 cases had thrombosis of the intermuscular vein of the lower limb and the rest had thrombosis of the common femoral vein, popliteal vein, fibular vein, superficial femoral vein and other sites, of which 7 cases combined with thrombosis of more than 2 deep veins, namely intermuscular vein \u0026amp; posterior tibial vein in 1 case, superficial femoral vein in 1 case and intermuscular vein \u0026amp; posterior tibial vein in 1 case, superficial femoral vein \u0026amp; popliteal vein in 1 case, 1 case of superficial femoral vein \u0026amp; popliteal vein, 1 case of common femoral vein \u0026amp; popliteal vein thrombosis, 1 case of intermuscular vein \u0026amp; fibular vein thrombosis and 2 cases of common femoral vein\u0026thinsp;+\u0026thinsp;superficial femoral vein \u0026amp; popliteal vein (Table\u0026nbsp;\u003cspan\u003e1\u003c/span\u003e).\u003c/p\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec9\"\u003e\n \u003ch2\u003e3.2 Clinical and laboratory characteristics of patients with DFU combined with DVT\u003c/h2\u003e\n \u003cp\u003eThe DFU with DVT group had higher hospitalization costs than the DFU without DVT group.There were statistical differences between the DFU combined with DVT group and the group without DVT in terms of age, smoking history, sugar foot site, diabetic retinopathy, lower limb atherosclerotic occlusive disease, absolute value of lymphocytes, erythrocytes, blood potassium, total protein, and fasting blood glucose (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Age\u0026thinsp;\u0026ge;\u0026thinsp;60 years, history of smoking, anterior tibial sugar foot site, and concomitant diabetic retinopathy and lower limb atherosclerotic occlusive disease accounted for a higher proportion of the DFU-combined DVT group compared with the uncomplicated DVT group. Among the laboratory test indices, there were statistical differences between the DFU combined with DVT group and the group without DVT in the absolute value of lymphocytes, erythrocytes, blood potassium, total protein, and fasting blood glucose (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Tables\u0026nbsp;\u003cspan\u003e2\u003c/span\u003e\u0026ndash;\u003cspan\u003e6\u003c/span\u003e).\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec10\"\u003e\n \u003ch2\u003e3.3 Univariate logistic regression analysis of DVT occurrence in DFU patients\u003c/h2\u003e\n \u003cp\u003eOne-way logistic regression analysis was performed with the dependent variable of DFU and the independent variables of age, smoking history, diabetic foot site, diabetic retinopathy, lower limb atherosclerotic occlusive disease, absolute value of lymphocytes, erythrocytes, total protein, fasting blood glucose and potassium. The results showed that age\u0026thinsp;\u0026ge;\u0026thinsp;60 years, history of smoking, diabetic foot location in the anterior tibia, combination of diabetic retinopathy and combination of lower limb atherosclerotic occlusive disease increased the risk of DFU complicating VTE (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Higher erythrocyte, total protein and fasting glucose decreased the risk of DFU with VTE, whereas higher potassium increased the risk of DFU with VTE (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Absolute lymphocyte counts did not correlate with the occurrence of DFU-complicated VTE (Table\u0026nbsp;\u003cspan\u003e7\u003c/span\u003e).\u003c/p\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec11\"\u003e\n \u003ch2\u003e3.4 Multifactorial Logistic Regression Analysis of DVT in DFU Patients\u003c/h2\u003e\n \u003cp\u003eResults of the binary logistic regression models are shown in Table\u0026nbsp;\u003cspan\u003e8\u003c/span\u003e. After adjustment of the baseline predictors, Age\u0026thinsp;\u0026ge;\u0026thinsp;60 years old(OR, 5.45;95% CI, 2.00-14.82, P =\u0026lt;0.001)、anterior tibial diabetic foot site (OR, 4.99;95% CI, 1.05\u0026ndash;23.67, P\u0026thinsp;=\u0026thinsp;0.043) 、Complicated with diabetes retinopathy (OR,2.39;95% CI, 1.15\u0026ndash;4.94, P\u0026thinsp;=\u0026thinsp;0.019)and elevated blood potassium(OR,2.18;95% CI, 1.24\u0026ndash;3.86, P\u0026thinsp;=\u0026thinsp;0.007) ignificantly associated with DVT.In addition to Diabetic nephropathy, Age\u0026thinsp;\u0026ge;\u0026thinsp;60 years old(OR, 5.33;95% CI, 1.96\u0026ndash;14.46, P =\u0026lt;0.001)、anterior tibial diabetic foot site (OR, 5.39;95% CI, 1.11\u0026ndash;26.25, P\u0026thinsp;=\u0026thinsp;0.037) 、Complicated with diabetes retinopathy (OR,2.54;95% CI, 1.22\u0026ndash;5.32, P\u0026thinsp;=\u0026thinsp;0.013)and elevated blood potassium(OR,2.29;95% CI, 1.29\u0026ndash;4.06, P\u0026thinsp;=\u0026thinsp;0.005)significantly associated with DVT in the Model 2.Finally, in the full Model3, Age\u0026thinsp;\u0026ge;\u0026thinsp;60 years old(OR, 5.44;95% CI, 1.98\u0026ndash;14.92, P =\u0026lt;0.001)、anterior tibial diabetic foot site(OR, 5.59;95% CI, 1.23\u0026ndash;27.76, P\u0026thinsp;=\u0026thinsp;0.035) 、Complicated with diabetes retinopathy(OR,2.50;95% CI, 1.19\u0026ndash;5.26, P\u0026thinsp;=\u0026thinsp;0.016)and elevated blood potassium(OR,2.30;95% CI, 1.30\u0026ndash;4.09, P\u0026thinsp;=\u0026thinsp;0.004)were the independent risk factors of DVT (Table\u0026nbsp;\u003cspan\u003e8\u003c/span\u003e). The ordinal logistic regression model was assessed validity with the test of parallel lines (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05),and significance was confirmed by \u0026minus;\u0026thinsp;2log likelihood (P\u0026thinsp;\u0026lt;\u0026thinsp;0.001).\u003c/p\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\"\u003e\n \u003ch2\u003e3.5 Prognosis\u003c/h2\u003e\n \u003cp\u003eA three-month follow-up of DFU patients revealed a healing rate of 23.80% for those with DVT and 72.26% for those without. Compared with patients without DVT, patients with DVT have a significantly lower three-month cure rate. A telephone follow-up revealed a mortality rate of 42.85% for DFU patients with DVT within three years.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn this study, we analyzed 471 patients with diabetic foot ulcers to determine the association between diabetic foot ulcers and DVT and the risk factors for DVT. Typical wounds such as diabetic foot ulcers, venous leg ulcers, pressure ulcers and arterial ulcers account for more than 70% of chronic wounds, and the local inflammatory response, altered blood flow due to prolonged presence, and possible systemic coagulation abnormalities in patients with chronic wounds combine to increase the risk of VTE formation [10]. The relationship between diabetic foot ulcers, a typical chronic inflammatory wound, and venous thromboembolism (VTE) has not been adequately investigated. In this study, we investigated the risk factors for the complication of DVT in patients with DFU and analyzed the potential association of these factors with the development of DVT. It will help both endocrinologists and surgeons to formulate treatment strategies to properly prevent the occurrence of this disease.\u003c/p\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e4.1 High prevalence of VTE in DFU patients\u003c/h2\u003e \u003cp\u003eIn this study, the incidence of DVT in patients with DFU was statistically 8.91%, and this high incidence may be closely related to the chronic persistent inflammation experienced by patients with DFU. This chronic inflammation not only damages the vascular endothelium, but may also disrupt the local microenvironmental balance, leading to reduced blood fluidity and abnormal coagulation processes, creating conditions for thrombus formation, and the combination of these factors may have contributed to the increased incidence of DVT in DFU patients.A study in Germany found that the Patients with diabetic foot ulcers cumulative mortalities at years 1, 3, 5, and 10 were 15.4, 33.1, 45.8, and 70.4%, respectively[11]. In this study, the mortality rate of DFU with DVT within 3 years was 42.85%, which was significantly higher than that of patients without DVT.\u003c/p\u003e \u003cp\u003ePatients with diabetes are at high risk of vascular thrombotic disorders, a risk that is closely related to the metabolic disturbances that characterize diabetes. In the pathological state of diabetes mellitus, insulin resistance, persistent hyperglycemia and excessive release of free fatty acids from the bloodstream affect the vascular wall through a complex series of biological events leading to endothelial dysfunction, increased platelet activity, oxidative stress and a chronic low-grade inflammatory state. These pathological changes not only exacerbate vasoconstriction but also promote the process of thrombosis [12\u0026ndash;14]. This risk is exacerbated in the presence of diabetic foot ulcers. Not only does the presence of an ulcer reflect severe local vascular insufficiency, but factors such as local hyperglycemia, an intense inflammatory response and persistent infection combine to create a high-risk environment for thrombosis (Fig.\u0026nbsp;1).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003e4.2 Identification of risk factors associated with VTE in DFU patients\u003c/h2\u003e \u003cp\u003eAge has been identified in numerous studies as a risk factor strongly associated with deep vein thrombosis (DVT) and has been widely noted and discussed[15, 16]. In this study, we found that patients with diabetic foot ulcers (DFUs) aged 60 years and older had a significantly increased risk of developing DVT, and age was recognized as an independent risk factor. Circulatory changes, reduced mobility and decreased muscle tone make older people more susceptible to developing chronic wounds[17]. In addition, reduced mobility, malnutrition, the presence of underlying cardiovascular disease and poorly controlled diabetes are strong predictors of chronic wound development and delayed healing[18]. In general, people over the age of 60 are more likely to develop DVT, and 88.1% of patients with combined lower extremity DVT in this study were aged\u0026thinsp;\u0026ge;\u0026thinsp;60 years. With age, the walls of the body's blood vessels and the inner walls of the veins become more fragile, blood circulation slows down and the levels of clotting factors in the blood increase; the hypercoagulable state of the blood, damage to the walls of the veins and slow venous blood flow are the main factors affecting DVT [19]. It may also be related to the long duration of diabetes in elderly patients with multiple comorbidities and diabetic complications, all of which increase the risk of VTE. Therefore, more careful assessment and individualized treatment plans are needed for elderly patients with DFU to reduce the risk of DVT and promote wound healing.\u003c/p\u003e \u003cp\u003eA diabetic foot located in the anterior tibial area can lead to an increased incidence of venous thrombosis in the lower extremities, which may be related to the site of infection. Excessive oxidative stress is present in the body when the organism is in a DM state, which can damage cells and cause cell death, ultimately leading to tissue damage[20\u0026ndash;22]. Patients with DM often have comorbid abnormalities in lipid metabolism, and the combination of high glucose and lipid levels promotes the production and release of inflammatory mediators, ultimately leading to a persistent high inflammatory state [23], which usually requires anti-infective treatment. Acute infections have been identified as a trigger for venous thromboembolism, and a case-crossover study assessed the risk of venous thromboembolism after hospitalization for infection[24]using data from the Atherosclerosis Risk in Communities (ARIC) study, which showed a 2.7-fold increased risk of VTE with hospitalization for infection in the previous 30 days compared with control periods in the previous 1 and 2 years. In addition, diabetic foot ulcers often lead to activity limitations in patients, and reduced activity may also increase the risk of VTE. For patients who need to control infections, antibiotic use should be selected based on drug susceptibility results whenever possible to avoid cross-use of antibiotics, which can lead to drug resistance and increase the risk of thrombosis. In patients with diabetic leg ulcers, it is also important to encourage patients to get out of bed.\u003c/p\u003e \u003cp\u003eThe increased risk of DVT in DFU patients with concomitant diabetic retinopathy in this study suggests that systemic microangiopathy may be a systemic risk factor for the development of DVT. Diabetic retinopathy is one of the most common microvascular complications in diabetic patients, and its presence usually indicates that the systemic microvasculature may be affected[25]. Some studies have shown that patients with retinal vein occlusion have higher whole blood and plasma viscosity and plasma fibrinogen levels compared to controls[26], and the elevation of these biomarkers may indicate a hypercoagulable state of the blood, which is closely related to the development of DVT. In the management of patients with diabetic foot, microvascular thrombosis often occurs in association with an inflammatory response. This interaction of inflammation and thrombosis may exacerbate microvascular damage, which in turn increases the risk of DVT. Diabetic vasculopathy is often divided into macrovascular and microvascular lesions, and diabetic retinopathy is not only an important indicator of microvascular damage in diabetes, but may also be a marker for increased risk of diabetic macrovascular lesions such as DVT (Fig.\u0026nbsp;2). Therefore, patients with DFU, especially those who have developed diabetic retinopathy, need to be more aware of the potential threat of DVT and take appropriate preventive measures.\u003c/p\u003e \u003cp\u003eSeveral clinical studies have shown that electrolyte disorders, particularly hyperkalemia, are associated with an increased risk of venous thromboembolism [27]. The relevant mechanisms may be 1) elevated potassium inhibits free radical formation in vascular endothelial cells and macrophages; 2) elevated potassium inhibits vascular smooth muscle cell proliferation; 3) platelet aggregation and arterial thrombosis are inhibited by elevated potassium; and 4) elevated plasma potassium decreases renal vascular resistance and increases glomerular filtration rate[28], but in contrast to the present study, in which elevated plasma potassium was the cause of the increased risk of concomitant DFU with DVT results, considering that 57. 14% of the patients with DFU complicating DVT in this study had diabetic nephropathy (CKD), and that disturbances in electrolyte homeostasis (e.g. hyperkalemia) are risk factors, Future studies investigating the complex relationship between blood potassium levels and the risk of thrombosis should increase the sample size and take into account other possible confounding factors such as patients' general health, comorbidities and the presence of other electrolyte levels.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Study limitations and future research directions\u003c/h2\u003e \u003cp\u003eAlthough this study provides preliminary morbidity data on the occurrence of DVT in patients with DFU, there are some limitations. First, this study is a retrospective study of a single medical center, which may lead to selection bias. The lower number of DFU with DVT is good for patients, but it reduces our sample size. The small sample size limited our ability to perform in-depth analyses and establish causality. Secondly, the retrospective design of the study and the time period of 3 years may have introduced a degree of variability into the results, which may have affected the stability and generalizability of the findings. Despite these limitations, this study provides new perspectives for understanding and managing the risk of DVT in patients with DFU. Future studies need to be conducted in larger populations to investigate the specific effects of different levels of diabetes control and treatment on the incidence of DVT. In addition, the biological mechanisms underlying these risk factors should be further investigated and personalized risk assessment tools should be developed. By identifying and quantifying these risk factors, clinicians will be able to more accurately assess the risk of DVT in patients with DFU and develop effective prevention and intervention strategies accordingly.\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe mortality rate within 3 years was 42.85% with DFU with DVT, which was significantly higher than that of DFU without DVT, and the cost of hospitalization with DFU with DVT was higher than that of DFU without DVT, Early identification of risk factors is needed to reduce the incidence of DVT, thereby reducing mortality and reducing the burden on the family. The eventual occurrence of VTE in DFU patients is the result of a combination of risk factors. In addition to the traditional risk factors (age, hyperlipidemia, hypertension, etc.), chronic inflammation, microangiopathy and metabolic disorders also play an important role in thrombosis. Therefore, DFU patients with poor glycemic control, especially the elderly, should be adequately assessed for the risk of VTE, and treatment should be carefully selected, with prophylactic anticoagulation, if necessary, to reduce the incidence of VTE. The management of patients with DFU requires a multidisciplinary team, including endocrinologists, vascular surgeons, hand and foot surgeons, nutritionists, etc., working together to provide comprehensive assessment and treatment of the patient. Through this comprehensive, multidimensional management strategy, more precise and personalized medical care can be provided to DFU patients, effectively reducing the incidence of VTE and improving the overall prognosis of patients.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthor Contributions:\u003c/strong\u003e QG conceived the paper.QG and YQ wrote the article.QG、YQ、YL、WT、FW、HY、YF and YY revised the figures and reviewed the article. All authors reviewed and approved the final version of the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003cstrong\u003e:\u003c/strong\u003e This study was supported by the following projects and departments;Key specialty in Yunnan Province [202301AY070001-013];Academician Expert Workstation [202305AF150097]\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eDisclosure Summary\u003c/strong\u003e\u003cstrong\u003e:\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eThe authors declare no known competing financial interests.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eData Availability\u003c/strong\u003e\u003cstrong\u003e：\u003c/strong\u003eSome or all datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Ethics approval and consent to participate: This study was approved by the Ethics Committee of \u0026nbsp;the Affiliated Hospital of Yunnan University and all participants provided informed consent before enrollment.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eGutmann C, Siow R, Gwozdz AM, Saha P, Smith A (2020) Reactive Oxygen Species in Venous Thrombosis. \u003cem\u003eInt J Mol Sci\u003c/em\u003e 21.\u003c/li\u003e\n\u003cli\u003eRighini M, Le Gal G, Bounameaux H (2015) Venous thromboembolism diagnosis: unresolved issues. \u003cem\u003eThromb Haemost\u003c/em\u003e 113: 1184-1192.\u003c/li\u003e\n\u003cli\u003ePiazza G, Goldhaber SZ (2010) Venous thromboembolism and atherothrombosis: an integrated approach. \u003cem\u003eCirculation\u003c/em\u003e 121: 2146-2150.\u003c/li\u003e\n\u003cli\u003eKim KA, Choi SY, Kim R (2021) Endovascular Treatment for Lower Extremity Deep Vein Thrombosis: An Overview. \u003cem\u003eKorean J Radiol\u003c/em\u003e 22: 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101799.\u003c/li\u003e\n\u003cli\u003eDarenskaya MA, Kolesnikova LI, Kolesnikov SI (2021) Oxidative Stress: Pathogenetic Role in Diabetes Mellitus and Its Complications and Therapeutic Approaches to Correction. \u003cem\u003eBull Exp Biol Med\u003c/em\u003e 171: 179-189.\u003c/li\u003e\n\u003cli\u003eKang Q, Dai H, Jiang S, Yu L (2022) Advanced glycation end products in diabetic retinopathy and phytochemical therapy. \u003cem\u003eFront Nutr\u003c/em\u003e 9: 1037186.\u003c/li\u003e\n\u003cli\u003eBoniakowski AE, Kimball AS, Jacobs BN, Kunkel SL, Gallagher KA (2017) Macrophage-Mediated Inflammation in Normal and Diabetic Wound Healing. \u003cem\u003eJ Immunol\u003c/em\u003e 199: 17-24.\u003c/li\u003e\n\u003cli\u003eCowan LT, Lutsey PL, Pankow JS, Cushman M, Folsom AR (2017) Hospitalization with infection and incident venous thromboembolism: The ARIC study. \u003cem\u003eThromb Res\u003c/em\u003e 151: 74-78.\u003c/li\u003e\n\u003cli\u003eSorrentino FS, Matteini S, Bonifazzi C, Sebastiani A, Parmeggiani F (2018) Diabetic retinopathy and endothelin system: microangiopathy versus endothelial dysfunction. \u003cem\u003eEye (Lond)\u003c/em\u003e 32: 1157-1163.\u003c/li\u003e\n\u003cli\u003eRing CP, Pearson TC, Sanders MD, Wetherley-Mein G (1976) Viscosity and retinal vein thrombosis. \u003cem\u003eBr J Ophthalmol\u003c/em\u003e 60: 397-410.\u003c/li\u003e\n\u003cli\u003eLizama PM, R\u0026iacute;os DL, Cachinero IS, Lopez-Egea AT, Camps A\u003cem\u003e, et al.\u003c/em\u003e (2021) Association of Kidney Disease, Potassium, and Cardiovascular Risk Factor Prevalence with Coronary Arteriosclerotic Burden, by Sex. \u003cem\u003eJ Pers Med\u003c/em\u003e 11.\u003c/li\u003e\n\u003cli\u003eYoung DB, Lin H, McCabe RD (1995) Potassium\u0026apos;s cardiovascular protective mechanisms. \u003cem\u003eAm J Physiol\u003c/em\u003e 268: R825-837.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003eTable 1. Clinical manifestations in DFU combined with DVT group.\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"416\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInterscalene vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCommon femoral vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePopliteal vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAnterior tibial vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePeroneal vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuperficial femoral vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInterscalene vein thrombosis+ \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePosterior tibial vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSuperficial femoral vein thrombosis+ \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePopliteal vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCommon femoral vein thrombosis+ \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePopliteal vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInterscalene vein thrombosis+ \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePeroneal vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 321px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCommon femoral vein thrombosis+\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eSuperficial femoral vein thrombosis+ \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePopliteal vein thrombosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 94px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eTable 2. Variables included in this study.\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"697\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 189px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCategories of variables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 508px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSpecific variable \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 189px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDemographic measures\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 508px;\"\u003e\n \u003cp\u003eAge, gender (male or female), BMI, WHR, BP, smoking (current or ever), drinking (current or ever), Hospital stays, Hospitalization expensive, Duration of diabetes, Healing in three months\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 189px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ediabetic comorbidities and complications\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 508px;\"\u003e\n \u003cp\u003eHypertension, Coronary heart diseases, Myocardial, Cerebral infarction, Diabetes nephropathy, Diabetes retinopathy, Diabetic peripheral vascular disease, Diabetic peripheral neuropathy, Arteriosclerosis obliterans of lower extremity\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 189px;\"\u003e\n \u003cp\u003e\u003cstrong\u003efoot-related characteristics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 508px;\"\u003e\n \u003cp\u003eOsteomyelitis, Diabetic foot site, Wagner grade\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 189px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLaboratory finding\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 508px;\"\u003e\n \u003cp\u003eWhite blood cell count, neutrophil absolute, lymphocyte absolute value, red blood cell count, hemoglobin, platelet, potassium in the blood, uric acid, prothrombin time, fibrinogen, triglycerides, total cholesterol, high-density lipoprotein, low-density lipoprotein, total protein, albumin, Fasting blood glucose, Glycosylated hemoglobin, procalcitonin, C-Reactive Protein\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eTable 3. Baseline demographic among the DFU without DVT，DFU with DVT\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"747\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 471)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDFU without DVT\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 429)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDFU with DVT\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 42)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026chi;\u0026sup2;/t/Z\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDemographics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003eAge n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜60yr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e195(41.40%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e190(44.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e5(11.90%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=16.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e＜\u003c/strong\u003e\u003cstrong\u003e0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026ge;60yr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e276(58.60%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e239(55.71%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e37(88.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003eGender n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eMale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e321(68.15%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e295(68.76%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e26(61.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.362\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eFemale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e150(31.85%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e134(31.24%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e16(38.10%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eWHO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e0.95 \u0026plusmn; 0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e0.95 \u0026plusmn; 0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e0.95 \u0026plusmn; 0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003et=-0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.786\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eBMI(kg/㎡)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e24.00 \u0026plusmn; 3.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e24.01 \u0026plusmn; 3.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e23.86 \u0026plusmn; 3.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003et=0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.802\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eSBP(mmHg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e130.23 \u0026plusmn; 23.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e130.10\u0026plusmn;23.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e131.50 \u0026plusmn; 25.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003et=-0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.717\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eDBP(mmHg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e78.27 \u0026plusmn; 13.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e78.49 \u0026plusmn; 13.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e76.00 \u0026plusmn; 14.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003et=1.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.267\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003eSmoking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e161 (34.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e140 (32.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e21 (50.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=5.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.024\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e310 (65.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e289 (67.37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e21 (50.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003eDrinking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e196 (41.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e180 (41.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e16 (38.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.628\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e275 (58.39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e249 (58.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e26 (61.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" valign=\"top\" style=\"width: 614px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDiabetes-related characteristics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eHospital stays(day)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e10.98 \u0026plusmn; 3.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e11.05 \u0026plusmn; 3.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e10.31 \u0026plusmn; 3.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003et=1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.221\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eHospitalization expensive(rmb)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e18269.88（12054.74,24943.15）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e18179.77（11952.99,24929）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e19894.67（13719.30,25505.54）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003eZ=-1.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.254\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003eDuration of\u003c/p\u003e\n \u003cp\u003ediabetes n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜10ys\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e172 (36.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e156 (36.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e16 (38.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.824\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026ge;10ys\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e299 (63.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e273 (63.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e26 (61.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 113px;\"\u003e\n \u003cp\u003eHealing in three month n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e320(67.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e310(72.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e10(23.81)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=41.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e＜\u003c/strong\u003e\u003cstrong\u003e0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e151(32.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e119(27.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e32(76.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;Table 4. Comparison of diabetic comorbidities and complications among the DFU without DVT，DFU with DVT.\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"724\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 189px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable n(%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 471)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDFU without DVT\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 429)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 121px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDFU with DVT\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 42)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026chi;\u0026sup2;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eHypertension\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e243 (51.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e218 (50.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e25 (59.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e0.281\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e228 (48.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e211 (49.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e17 (40.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eCoronary heart diseases\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e59 (12.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e55 (12.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e4 (9.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e0.538\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e412 (87.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e374 (87.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e38 (90.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eMyocardial\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e17 (3.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e16 (3.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e1 (2.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e0.989\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e454 (96.39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e413 (96.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e41 (97.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eCerebral infarction\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e58 (12.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e51 (11.89)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e7 (16.67)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e0.368\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e413 (87.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e378 (88.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e35 (83.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eDiabetes nephropathy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e293 (62.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e269 (62.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e24 (57.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e0.478\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e178 (37.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e160 (37.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e18 (42.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eDiabetes retinopathy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e147 (31.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e127 (29.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e20 (47.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=5.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.016\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e324 (68.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e302 (70.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e22 (52.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eDiabetic peripheral\u003c/p\u003e\n \u003cp\u003evascular disease\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e452 (95.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e411 (95.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e41 (97.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e0.873\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e19 (4.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e18 (4.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e1 (2.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eDiabetic peripheral\u003c/p\u003e\n \u003cp\u003eneuropathy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e458 (97.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e418 (97.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e40 (95.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e0.737\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e13 (2.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e11 (2.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e2 (4.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003eArteriosclerosis obliterans of lower extremity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e107 (22.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e92 (21.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e15 (35.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=4.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.035\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 38px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 110px;\"\u003e\n \u003cp\u003e364 (77.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 135px;\"\u003e\n \u003cp\u003e337 (78.55)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 121px;\"\u003e\n \u003cp\u003e27 (64.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;Table 5. Laboratory data among the DFU without DVT，DFU with DVT.\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"762\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003evariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 471)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 170px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDFU without DVT\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 429)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDFU with DVT\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 42)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eZ\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eWBC（109L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e7.65 (6.29, 10.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e7.59 (6.35, 9.99)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e8.53 (5.95, 11.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.349\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eNEU（109L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e5.29 (3.92, 7.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e5.27 (3.95, 7.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e6.04 (3.79, 9.67)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.315\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eLym（109L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e1.50 (1.16, 1.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e1.54 (1.18, 2.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e1.22 (1.09, 1.66)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-2.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.012\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eRBC（1012L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e4.23 (3.69, 4.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e4.25 (3.70, 4.72)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e3.91 (3.49, 4.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-2.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.029\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eHb（g/L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e126.00 (109.00, 143.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e127.00 (110.00, 144.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e124.00 (102.50, 136.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.224\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003ePLT（109L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e252.00 (197.00, 312.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e253.00 (198.00, 313.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e235.00 (184.00, 287.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.116\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eK\u003csup\u003e+\u003c/sup\u003e（mmol/L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e3.95 (3.63, 4.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e3.94 (3.61, 4.32)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e4.17 (3.83, 4.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-2.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.024\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eUA（umolL）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e338.00 (270.50, 414.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e338.00 (271.00, 408.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e352.00 (272.25, 477.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.176\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003ePT (S)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e11.60 (11.00, 12.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e11.60 (11.00, 12.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e11.80 (11.30, 12.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.260\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eFIB (g/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e4.60 (3.37, 6.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e4.60 (3.30, 6.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e4.64 (4.03, 6.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.589\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eTG（mmolL）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e1.23 (0.92, 1.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e1.24 (0.93, 1.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e1.17 (0.82, 1.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.175\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eTC（mmolL）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e3.86 (3.10, 4.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e3.85 (3.09, 4.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e3.97 (3.37, 4.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.340\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eHDL-C（mmol/L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e0.89 (0.69, 1.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e0.88 (0.68, 1.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e0.93 (0.78, 1.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.093\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eLDL-C（mmol/L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e2.19 (1.58, 2.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e2.17 (1.57, 2.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e2.40 (1.73, 2.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-0.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.369\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eTP（g/l)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e62.70 (58.30, 66.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e62.90 (58.50, 67.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e60.45 (55.82, 64.50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-2.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.013\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eAlb（g/l)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e33.70 (29.30, 36.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e33.70 (29.40, 36.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e33.45 (28.12, 35.88)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.290\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eFBG（mmol/L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e7.33 (5.39, 9.74)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e7.50 (5.43, 9.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e6.63 (5.00, 7.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-2.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.018\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eHbA1c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e9.30 (7.40, 11.15)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e9.30 (7.50, 11.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e8.50 (7.25, 10.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.285\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003ePCT(ng/ml)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e0.07（0.04, 0.18）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e0.07（0.04, 0.18）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e0.11（0.05, 0.20）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-1.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.275\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 123px;\"\u003e\n \u003cp\u003eCRP(mg/dl)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e16.70（3.30, 67.00）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 170px;\"\u003e\n \u003cp\u003e16.70（3.20, 67.35）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e17.90（5.38, 68.48）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eZ=-0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.609\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eValues are presented as number, median (IQR), or mean \u0026plusmn; standard deviation.BMI：Body mass index；WHR：Waist-to-hip ratio；BP：Systolic blood pressure；DP：Diastolic blood pressure；WBC：white blood cell；NEU：Neutrophil \u0026nbsp;absolute ;Lym：Lymphocyte absolute value；RBC：red blood cells；Hb ：haemoglobin；PLT：platelet；K+：Potassium in the blood；UA：uric acid；PT：Prothrombin time；FIB ：fibrinogen；TG：Triglycerides；TC：Total cholesterol；HDLC：high-density lipoprotein；LDLC：Low-density lipoprotein；TP：Total protein； Alb：albumin； FPG：Fasting blood glucose; HbA1c：Glycosylated hemoglobin；PCT：procalcitonin ；CRP：C-Reactive Protein\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 6. Comparison of foot-related characteristics among the DFU without DVT，DFU with DVT.\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"727\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 121px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable n(%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 471)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDFU without DVT\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 429)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDFU with DVT\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n = 42)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026chi;\u0026sup2;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" rowspan=\"2\" valign=\"top\" style=\"width: 122px;\"\u003e\n \u003cp\u003eOsteomyelitis\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e240 (50.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e223 (51.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e17 (40.48)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0.155\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e231 (49.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e206 (48.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e25 (59.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" rowspan=\"3\" valign=\"top\" style=\"width: 122px;\"\u003e\n \u003cp\u003eDiabetic foot site\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eInstep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e59 (12.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e57 (13.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e2 (4.76)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"5\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026chi;\u0026sup2;=11.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"5\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.019\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eToes \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e188 (39.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e173 (40.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e15 (35.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003ePlantar\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e54 (11.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e53 (12.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e1 (2.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 122px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eAnkles\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e42 (8.92)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e37 (8.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e5 (11.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 122px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eTibia\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e128 (27.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e109 (25.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e19 (45.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" rowspan=\"5\" valign=\"top\" style=\"width: 122px;\"\u003e\n \u003cp\u003eWagner grade\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e20 (4.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e17 (3.96)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e3 (7.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.199\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e194 (41.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e172 (40.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e22 (52.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e154 (32.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e146 (34.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e8 (19.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e101 (21.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e92 (21.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e9 (21.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e2 (0.42)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e2 (0.47)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 132px;\"\u003e\n \u003cp\u003e0 (0.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;Table 7. Results of One-way logistic regression analysis.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"107%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 31px;\"\u003e\n \u003cp\u003e\u003cstrong\u003evariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026beta;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWald\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eAge n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e＜60yr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e\u0026ge;60yr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e1.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e13.279\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e5.88\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(2.27 ~ 15.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eSmoking n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e4.963\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.026\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e2.06\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(1.09 ~ 3.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eDiabetic foot site n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eInstep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eToes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e1.387\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e0.239\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e2.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(0.55 ~ 11.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003ePlantar\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e-0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e0.251\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e0.617\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(0.05 ~ 6.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eAnkles\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e2.442\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e0.118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e3.85\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(0.71 ~ 20.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eTibia\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e4.435\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.035\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e4.97\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(1.12 ~ 22.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eDiabetic retinopathy n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e5.573\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.018\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e2.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(1.14 ~ 4.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eArteriosclerosis occlusive disease of the lower extremities n(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e4.295\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.038\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e2.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(1.04 ~ 3.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eLym（109L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e-0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e3.268\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e0.071\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(0.36 ~ 1.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eRBC（1012L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e-0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e5.046\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.025\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.62\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(0.41 ~ 0.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eTP（g/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e-0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e7.446\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.006\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.94\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(0.90 ~ 0.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eFBG（mmolL）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e-0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e5.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.014\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.88\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(0.79 ~ 0.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eK\u003csup\u003e+\u003c/sup\u003e（mmol/L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003e5.564\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.018\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e1.81\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e(1.11 ~ 2.97)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;Table 8. The binary logistic regression analysis of without DVT and with DVT risks in patients with diabetic foot ulcers.\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"116%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 31px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 1\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eOR (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 2\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eOR (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eModel 3\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eOR (95%CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e＜60yr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e\u0026ge;60yr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e5.45(2.00 ~ 14.82)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e5.33(1.96~14.46)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e5.44(1.98~14.92)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003eGender\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003eMale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.56(0.26~1.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.55(0.25~1.198)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003eFemale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eSmoking\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e1.85(0.90 ~ 3.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e1.74(0.84~3.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e1.75(0.84~3.62)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003eDuration of diabetes n(%)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e＜10ys\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003e\u0026ge;10ys\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eDiabetic foot site\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eInstep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eToes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e1.42(0.29 ~ 6.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e1.57(0.32~7.64)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e1.60(0.33~7.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003ePlantar\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e0.46(0.04 ~ 5.71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.54(0.04~6.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.54(0.04~7.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eAnkles\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e3.20(0.54 ~ 18.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e2.98(0.49~18.10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e3.01(0.50~18.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eTibia\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e4.99(1.05 ~ 23.67)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e5.39(1.11~26.25)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e5.59(1.23~27.76)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eDiabetic retinopathy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e2.39(1.15 ~ 4.94)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e2.54(1.22~5.32)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e2.50(1.19~5.26)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eArteriosclerosis occlusive disease of the lower extremities\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e1.93(0.87 ~ 4.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e2.06(0.92~4.61)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e2.03(0.90~4.58)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003ePCT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.97(0.62~1.51)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eFIB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e1.03(0.85~1.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eRBC（1012L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e0.67(0.41 ~ 1.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.64(0.39~1.03)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.64(0.39~1.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eTP（g/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e0.97(0.92 ~ 1.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.96(0.92~1.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.96(0.92~1.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eFBG（mmolL）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e0.90(0.80 ~ 1.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.90(0.80~1.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.89(0.79~1.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 2px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003eK\u003csup\u003e+\u003c/sup\u003e（mmol/L）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e2.18(1.24 ~ 3.86)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e2.29(1.29~4.06)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 23px;\"\u003e\n \u003cp\u003e2.30(1.30~4.09)\u003cstrong\u003e＊\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eOR, odds ratio; CI, confidence interval. Binary logistic regression was used to identify potential predictors of DVT and OR was calculated using the \u0026quot;without DVT\u0026quot; subgroup as a baseline. Model 1 was adjusted for age, smoking history, diabetic foot site, diabetic retinopathy, lower extremity arteriosclerosis obliterans, RBC, TP, FBG, K+. Model 2 was adjusted diabetic nephropathy on the basis of Model 1. *P \u0026lt; 0.05。 Model 3 was adjusted for FIB and PCT on the basis of Model 2.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"diabetic foot ulcer, venous thrombosis, risk factors","lastPublishedDoi":"10.21203/rs.3.rs-5393914/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5393914/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eObjective\u003c/h2\u003e \u003cp\u003eTo investigate the incidence of lower extremity deep vein thrombosis (DVT) and associated risk factors in patients with diabetic foot ulcers (DFU).\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThe clinical data of DFU patients hospitalized in the Affiliated Hospital of Yunnan University from January 1, 2020 to December 31, 2023 were analyzed, including demographic characteristics, comorbidities, complications, laboratory tests (such as blood routine test, biochemistry, coagulation, glycosylated hemoglobin). Patients were divided into groups according to the presence or absence of DVT. And t-test, Mann-Whitney U test or chi-squared test were used to screen the relevant factors for the occurrence of DVT in patients with DFU, and logistic regression analysis was used to determine the independent risk factors for the occurrence of DVT in patients with DFU.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003e471 patients with DFU were finally included in this study, and the incidence of DVT was 8.91% (42/471). When the collected data were analyzed for differences, there was a statistical difference between the DFU combined with DVT group and the group without DVT in terms of age, smoking history, diabetic foot site, diabetic retinopathy, atherosclerotic occlusive disease of the lower limbs, absolute value of lymphocytes, erythrocytes, blood potassium, total protein and fasting blood glucose (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). One-way logistic regression analyses were performed with whether DFU was combined with DVT as the dependent variable and the above statistically different risk factors as independent variables. Factors that were significant in the univariate analysis (age, smoking history, diabetic foot site, diabetic retinopathy, atherosclerotic occlusive disease of the lower limbs, erythrocytes, total protein, fasting blood glucose, and potassium) were included in the multivariate logistic regression analysis. Multifactorial logistic regression analysis showed that age\u0026thinsp;\u0026ge;\u0026thinsp;60 years, anterior tibial diabetic foot site, diabetic retinopathy and elevated blood potassium were independent risk factors for DVT complicating DFU (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eThe incidence of DVT was significantly higher in patients with DFU, And age, anterior tibial diabetic foot site, combined diabetic retinopathy, and elevated blood potassium were independent risk factors for DVT complicated by DFU (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e","manuscriptTitle":"Risk Factors and Incidence of Deep Vein Thrombosis in Patients with Diabetic Foot Ulcers: A Single-Center Retrospective Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-16 10:41:01","doi":"10.21203/rs.3.rs-5393914/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"001934bf-e570-475f-aa23-5377cbee4948","owner":[],"postedDate":"December 16th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-12-16T10:41:04+00:00","versionOfRecord":[],"versionCreatedAt":"2024-12-16 10:41:01","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5393914","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5393914","identity":"rs-5393914","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}