Effects Of Aerobic, Resistance, And Combined Exercise Training on Coagulation and Fibrinolytic Activity in Major Burns: A Preliminary Randomized Trial

Effects Of Aerobic, Resistance, And Combined Exercise Training on Coagulation and Fibrinolytic Activity in Major Burns: A Preliminary Randomized Trial | 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 Effects Of Aerobic, Resistance, And Combined Exercise Training on Coagulation and Fibrinolytic Activity in Major Burns: A Preliminary Randomized Trial MURAT ALİ ÇINAR, KEZBAN BAYRAMLAR, Ahmet Erkılıç This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6340011/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Background This study aimed to compare the effects of different exercise protocols—resistance, aerobic, and combined resistance-aerobic training—on coagulation and fibrinolytic activity in major burns. Methods This prospective, randomized study included 30 major burn patients who were divided into three intervention groups: resistance exercise (Group 1, n = 10), aerobic exercise (Group 2, n = 10), and combined resistance-aerobic exercise (Group 3, n = 10). Each group underwent a six-week supervised exercise program in addition to standard medical treatment. Coagulation and fibrinolytic markers were measured at baseline and weekly. Statistical analyses were conducted using Shapiro–Wilk test for normality, one-way ANOVA or Kruskal–Wallis for between-group comparisons, and Friedman/BONFERRONI post-hoc analysis for within-group comparisons. Results The D-dimer and ferritin levels significantly decreased in Group 3 compared to baseline and other groups (p < 0.05). While fibrinogen levels remained stable in Group 3, Groups 1 and 2 showed a significant decline over time (p 0.05), indicating that none of the interventions induced abnormal coagulation. Conclusions Exercise interventions, particularly combined resistance and aerobic training, appear to positively influence coagulation and fibrinolysis in burn patients. These findings suggest that an integrated exercise regimen may support recovery by modulating hypercoagulability and systemic inflammation. Further large-scale studies are warranted to confirm these results and to assess the long-term effects of exercise on coagulation dynamics in burn rehabilitation. Trial registration: Trial registration date: 17/04/2022, trial registration number: NCT05341674 “Prospectively registered”. Burns coagulopathy D-dimer resistance exercise aerobifc exercise Figures Figure 1 INTRODUCTION Burn injuries trigger significant hypermetabolic and catabolic reactions lasting months or years. Patients with major burns covering > 20% of the total body surface area (TBSA) experience severe hyperdynamic and hypermetabolic responses, including lipolysis, proteolysis, glycolysis, and high fever ( 1 – 3 ). These responses contribute to coagulopathy, impaired fibrinolysis, delayed wound healing, immune suppression, and high mortality rates ( 4 – 6 ). Coagulopathy is common in major, complicating treatment. The inflammatory response following burns disrupts clot formation, leading to burn-induced coagulopathy, resembling that observed in sepsis or trauma patients ( 7,8). This condition can cause thromboembolic complications, multiple organ failure, and increased mortality. Post-burn hypermetabolism, inflammation, hypothermia, and endothelial damage are believed to contribute to coagulopathy ( 7 , 8 ). Exercise minimizes post-burn hypermetabolism, prevents muscle atrophy, improves pulmonary function, enhances functional capacity, and promotes wound healing ( 9 ). However, studies on coagulopathy and fibrinolysis in burn patients remain limited. While the effects of exercise on coagulation and fibrinolysis have been explored in the general population, their impact on burn patients is unclear ( 9 ). This study aims to compare three exercise protocols to determine their effects on coagulation and fibrinolytic activity in burn patients. MATERIALS AND METHODS This study was conducted at XXX University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation between June 2020 and July 2023, and included 30 major flame burn patients who were hospitalized at the XXXX Hospital Burn Centre. Major burns were defined as burns involving more than 20% of the total body surface area (TBSA) in adults, more than 10% in individuals under 16 years of age, and more than 10% in individuals over 50 years of age ( 10 ). From the time of emergency admission and acute care of the burn injury until discharge, all patients received similar standard medical care and treatment. Nutritional support, including nutrient types and diets, was standardized across all groups. In addition, the types and numbers of clinical interventions, such as surgical debridement and grafting, were comparable in all patients. Planning and reporting were guided by the CONSORT 2010 checklist. Inclusion criteria Conscious and cooperative (Glasgow Coma Scale E4M6V5) Enterally fed Aged > 18 years Major burns ( 10 ). Stable hemodynamic values, no inotropic medication requirement Exclusion criteria Inhalation injury Additional trauma (fracture, amputation, etc.) Organ dysfunction or multiple organ failure Chronic diseases affecting respiratory/muscle function ( heart failure, diabetes, etc.) Randomization The individuals included in the study were assigned to three groups using the covariate adaptive randomization method based on burn percentage and burn type ( 11 ). The random allocation sequence was generated by the principal investigator to ensure balanced group distribution. Participants were enrolled and assigned to interventions by the same investigator, who also recorded and managed the data throughout the study. Since no blinding was applied, all allocations were made transparently based on the predefined randomization criteria. (figure-1). Evaluation parameters The patients were evaluated weekly for 6 weeks, starting from the first day of admission. Exercise protocols were administered 5 days per week, and the exercise sessions in each group were conducted under the supervision of an experienced physiotherapist. Each session lasted 50 minutes. Coagulation and fibrinolytic activity were assessed using the following parameters: platelet count; D-dimer, fibrinogen, and ferritin levels; prothrombin time (PT); and activated partial thromboplastin time (APTT). Patients in all groups underwent biochemical tests for 6 weeks starting from the first day of admission to the burn center. Both baseline and weekly values of the measured parameters were recorded. Venous blood samples were collected weekly throughout the intervention period, following a 12-hour fasting period. All samples were obtained by an experienced burn unit nurse under the supervision of a specialist physician. The first blood sample was taken 24 hours after burn injury and served as the baseline measurement. Exercise Interventions Group 1 (Standard Treatment + Resistance Exercise) : Standard treatment consisted of medical treatment (pharmacological and), surgical treatment, and standard physiotherapy exercises applied in the hospital period to major burn patients ( 12 , 13 ). The standard physiotherapy exercises included joint mobility exercises, general breathing exercises, bronchial hygiene techniques, ankle pumping exercises, in-bed isometric exercises, and early mobilization (starting from the first day) ( 12 , 13 ). The resistance exercise portion of the group included nine specific exercises: knee extension, knee flexion, trunk flexion, trunk extension, hip extension, hip flexion, hip abduction, shoulder flexion, and shoulder abduction ( 13 ). For resistance training, the SportDelta1462-2X1 brand 1–5 kg sandbag set, which could be tied to the wrist, was used to add additional weight to the exercises. Each session had a total duration of 50 minutes, comprising 30 minutes of standard physiotherapy and 20 minutes of resistance exercises, conducted under the supervision of an experienced physiotherapist. Group 2 (standard treatment + aerobic exercise training) In this group, in addition to the standard treatment given to the patients in the first group, aerobic exercises were given. Standard physiotherapy exercises were applied for 30 minutes and aerobic exercises for 20 minutes. For the aerobic exercise, patients performed cycle ergometer training using a portable exercise bike (Hausse Portable Exercise Pedal Bike) placed beside the bed while seated. The pedal resistance was adjusted according to the "Ratings of Perceived Exertion (RPE)" scale, maintaining an intensity of 10–12 on the scale ( 14 ). Group 3 (Standard Treatment + Combined Exercise) In this group, in addition to the standard treatment given to the patients in the first group, resistance and aerobic exercises were given together (combined). Standard physiotherapy exercises were applied for 30 minutes and combined exercises for 20 minutes. For the resistance exercise, the protocol included selected exercises from the original 20-minute resistance training routine. To accommodate the reduced time, fewer exercises were performed, and the duration of each exercise was shortened. The resistance exercises included knee extension, knee flexion, trunk flexion, and hip extension, ensuring the focus remained on overall muscle strength while fitting within the 10-minute timeframe. For resistance training, the SportDelta1462-2X1 brand 1–5 kg sandbag set, which could be tied to the wrist, was used to add additional weight to the exercises. The aerobic exercise portion involved 10 minutes of cycle ergometer training. Patients used the portable exercise bike (Hausse Portable Exercise Pedal Bike) placed beside the bed while seated. The pedal resistance was adjusted based on the "Ratings of Perceived Exertion (RPE)" scale, maintaining an intensity of 10–12 on the scale ( 14 ). Statistical analysis Data analyses were conducted using the free trial version of Statistical Package for Social Sciences for Windows version 25.0. Descriptive statistical methods included number, percentage, median, mean, and standard deviation. The Shapiro–Wilk test was used to assess the normality of data distribution. Parametric tests were applied to data with normal distribution, and non-parametric tests were used otherwise. One-way ANOVA was employed for comparing more than two independent groups with normal distribution, while the Kruskal–Wallis test was used for comparisons between non-normally distributed groups. The Friedman test was used to analyze non-normally distributed within-group repeated measures. When significant differences emerged: The Bonferroni post-hoc test was applied following the Friedman test to determine which time points differed significantly within groups. For between-group comparisons, when one-way ANOVA indicated significance, the Bonferroni correction was applied in post-hoc pairwise comparisons to control for Type I error. The Bonferroni correction was chosen because it is a conservative method for minimizing Type I error risk, particularly important given the relatively small sample size and multiple comparisons. Normality analysis results are presented in Table 1 , with Shapiro–Wilk test p-values > 0.05 and < 0.05 indicating normal and non-normal distribution, respectively. Regarding sample size, an a priori sample size calculation was not performed, due to the absence of sufficient prior data on effect size estimation for this specific patient population. Instead, a post-hoc power analysis was conducted using G*Power version 3.1.9.2 software, based on the actual data obtained from the study. The observed effect size was 0.6818, which was calculated from the collected data ( 15 ). At an alpha level of 0.05, the study achieved a post-hoc statistical power of 81.9%, indicating an adequate sample size for the analyses conducted ( 15 ). In future studies, an a priori power analysis based on pilot data or relevant literature will be considered to improve methodological rigor. RESULTS The distribution of participants according to their sociodemographic characteristics is presented in Table 2. D-dimer Levels : Intergroup comparison of D-dimer levels revealed a significant difference between the 1st and 4th measurements (p < 0.05) (Table 3). To identify the group causing this difference, the Bonferroni test was applied. The D-dimer levels in the 1st measurement were higher in Group 1 than in Group 3. Additionally, the 4th measurement of D-dimer levels in Group 1 was higher than in both Groups 2 and 3. When comparing all six measurements, a significant difference was observed in D-dimer levels in Group 3 (p < 0.05). The Bonferroni test revealed that the 2nd and 3rd measurements of D-dimer levels in Group 1 were higher than the 6th measurement (Table 3). Fibrinogen Levels: When fibrinogen levels were compared across the groups, no significant differences were observed between the groups (p > 0.05) (Table 4). However, within Group 1, a significant difference was found in the fibrinogen levels when comparing the six measurements (p < 0.05). The Bonferroni test indicated that the 1st measurement of fibrinogen levels in Group 1 was higher than the 5th and 6th measurements (Table 4). Platelet Count : No significant differences were found between the groups when platelet counts were compared (p > 0.05). However, within Groups 2 and 3, significant differences were observed in platelet counts across the six measurements (p < 0.05) (Table 5). The Bonferroni test revealed that the 3rd and 4th measurements of platelet counts in Group 2 were higher than the 1st measurement, while the 4th measurement of platelet counts in Group 3 was higher than the 1st measurement (Table 5). Ferritin Levels: Intergroup comparison of ferritin levels revealed a significant difference in the 5th measurement (p < 0.05) (Table 6). The Bonferroni test identified that the 5th measurement of ferritin levels in Group 1 was higher than in Group 3. Furthermore, when the six measurements within the groups were compared, significant differences in ferritin levels were observed in Groups 2 and 3 (p < 0.05). The Bonferroni test revealed that the 2nd measurement of ferritin levels in Group 2 was higher than the 6th measurement, while the 1st, 2nd, and 3rd measurements of ferritin levels in Group 3 were higher than the 6th measurement. Additionally, the 2nd measurement of ferritin levels in Group 3 was higher than the 5th measurement (Table 6). Prothrombin Time (PT): No significant differences were observed in PT measurements between the groups (p > 0.05). Within each group, no significant differences were found in PT values across the six measurements (p > 0.05) (Table 7). Activated Partial Thromboplastin Time (APTT): When APTT values were compared between groups, no significant differences were observed (p > 0.05). However, a significant difference was found in the APTT values within Group 1 (p < 0.05) when comparing the six measurements. The Bonferroni test indicated that the 1st measurement of APTT values in Group 1 was higher than the 4th, 5th, and 6th measurements (Table 8). DISCUSSION The findings of this study demonstrate significant changes in coagulation and fibrinolytic markers—namely D-dimer, fibrinogen, and ferritin—across the treatment groups. Notably, both aerobic and combined exercise protocols (Groups 2 and 3), when added to standard treatment, were more effective in modulating coagulation and fibrinolytic activity compared to resistance exercise alone (Group 1). Among all interventions, the combined exercise group showed the most rapid normalization of coagulation parameters. While improvements were also observed in Groups 1 and 2, the effects were less pronounced than those seen in the combined exercise group. These results suggest that although resistance and aerobic exercises individually yield positive outcomes, their combination (combine exercises) offers superior physiological benefits. Physical inactivity is widely known to have a negative impact on coagulation and fibrinolytic activity, particularly in conditions involving systemic inflammation or metabolic dysregulation. Previous studies have emphasized that mild-to-moderate aerobic exercise positively affects coagulation and fibrinolytic parameters in individuals with cardiovascular disease, hypertension, obesity, and healthy populations ( 16 , 17 ). D-dimer, a well-established biomarker for the activation of coagulation and fibrinolytic systems, is a critical parameter in evaluating the progression of coagulopathy in burn patients ( 18 ). D-dimer tends to increase in major traumas, such as burns and coagulopathy. A comprehensive study conducted by Zhang et al. in patients with coronavirus disease 2019 (COVID-19) reported an increase in the mortality rate among those with D-dimer levels of ≥ 2 mg/L ( 19 ). Geng et al. investigated coagulopathy in patients with burns and reported that those with levels > 2–2.7 mg/L were less likely to survive than other patients ( 20 ). In this study, D-dimer levels were lower in Group 2 (the standard treatment + aerobic exercise group) and Group 3 (the standard treatment + combined exercise group) compared to Group 1 (the standard treatment + resistance exercise group). Furthermore, Group 3 demonstrated a higher recovery rate of D-dimer levels, with more patients achieving normal values within a shorter timeframe. This suggests that combining resistance and aerobic exercise may have a synergistic effect on endothelial recovery and fibrinolytic activity, potentially accelerating the resolution of coagulation abnormalities. Burn-induced coagulopathy is often linked to systemic inflammatory responses that drive hypermetabolism and abnormal coagulation pathways ( 21 ). Elevated fibrinogen levels and platelet counts are common in burn patients due to the inflammatory and metabolic demands of tissue repair ( 5 ). While intergroup comparisons in this study did not show significant differences in fibrinogen levels or platelet counts, fibrinogen levels tended to decrease in Groups 1 and 2, particularly in later measurements. This downward trend, combined with elevated D-dimer levels, may reflect ongoing coagulation activity. By contrast, Group 3 exhibited more stable fibrinogen levels, suggesting that the combined exercise protocol may help mitigate the hypercoagulable state. These findings highlight the potential of tailored exercise protocols to influence coagulation markers, though larger studies with extended follow-up are warranted to validate these results ( 22 ). Schneider et al. reported that combined aerobic and resistance exercise effectively reduced both systolic and diastolic blood pressure in hypertensive individuals, with greater benefits observed at higher exercise intensities ( 23 ). This suggests that the physiological benefits of combined exercise modalities may extend beyond vascular health to include broader systemic effects, such as improved coagulation dynamics. Moreover, Liu et al. demonstrated that combined aerobic and resistance exercise enhanced physical function, aerobic capacity, and health-related quality of life in patients undergoing maintenance hemodialysis ( 24 ). While their study focused on a different population, the observed benefits align with our findings, particularly in Group 3, where the combined exercise protocol appeared to produce the most favorable outcomes. Intergroup comparisons in this study revealed that Group 3 showed more favorable outcomes in both D-dimer and ferritin levels, suggesting that the combination of resistance and aerobic exercise may have a synergistic effect on coagulation and fibrinolytic activity. Although Group 1 (resistance exercise) and Group 2 (aerobic exercise) also demonstrated improvements in coagulation markers, these changes were less pronounced compared to Group 3. These results indicate that while each form of exercise independently contributed to some improvements, the combination of both resistance and aerobic exercises appeared to produce more substantial benefits. This is consistent with meta-analytic findings by Akalp et al., who observed that aerobic and resistance exercises independently improved markers of inflammation and cognitive function in older adults, while their combination yielded even greater benefits ( 25 ). Additionally, a randomized trial focusing on burn patients demonstrated that aerobic exercise reduced neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios, both of which are important markers of systemic inflammation and coagulation ( 26 ). While the present study did not include these specific markers, the observed reductions in ferritin and improvements in D-dimer levels in Groups 2 and 3 suggest that aerobic and combined exercise protocols may similarly reduce systemic inflammation and enhance coagulation dynamics. Ferritin, traditionally considered an iron storage protein, has emerged as a marker of systemic inflammation, particularly in conditions like COVID-19 and systemic inflammatory response syndrome (SIRS) ( 27 – 31 ). Elevated ferritin levels in burn patients are indicative of the hyperinflammatory state resulting from burn-induced tissue damage. This study found that ferritin levels were lower in Groups 2 and 3 compared to Group 1, suggesting that aerobic and combined exercise protocols may attenuate burn-induced inflammation. However, no significant differences were observed between Groups 2 and 3, which may indicate similar anti-inflammatory effects of these exercise modalities. These results align with previous findings that aerobic exercise reduces inflammatory cytokines, while resistance exercise supports metabolic efficiency ( 27 , 31 , 32 ). Future research should further explore ferritin as a biomarker for monitoring the effects of exercise on inflammation and coagulopathy in burn patients. Prothrombin time (PT) and activated partial thromboplastin time (APTT) are key markers used to evaluate acute or early-onset coagulopathy, particularly within the first 24 hours of burn injury ( 21 , 22 , 28 , 29 ). In this study, PT and APTT values remained within normal ranges across all groups, indicating the absence of acute coagulopathy. Although APTT values at week 3 showed a statistically significant difference between Groups 1 and 2, these differences were clinically insignificant as they remained within the reference range. This underscores the importance of interpreting statistical findings in conjunction with clinical relevance when assessing coagulation markers. In summary, this study demonstrates that exercise protocols incorporating aerobic or combined modalities may positively influence coagulation and fibrinolytic activity in burn patients. The combined exercise protocol (Group 3) appeared particularly effective in modulating D-dimer levels and stabilizing fibrinogen levels, likely due to its multifaceted approach to addressing systemic inflammation and metabolic demands. These findings underscore the need for further research to elucidate the mechanisms underlying these effects and to explore the potential of exercise as an adjunctive therapy in burn rehabilitation. Future studies with larger sample sizes, diverse patient populations, and extended follow-up periods will be critical in validating these findings and optimizing exercise protocols for burn care. This study has several limitations. First, the relatively small sample size limits the generalizability of the findings. Second, the absence of a non-exercise control group prevents definitive conclusions regarding the direct effects of the combined exercise intervention compared to standard care alone. Additionally, as a preliminary randomized comparative study, the short follow-up period restricts the ability to assess the long-term effects of exercise on coagulation and fibrinolytic dynamics in patients with major burns. Future studies with larger sample sizes, longer follow-up periods, and control groups are necessary to validate these findings and to establish clear clinical guidelines. CONCLUSIONS This study underscores the potential role of different exercise interventions in improving coagulation and fibrinolytic activity in burn patients. Implementing structured exercise protocols from the onset of treatment may help counteract endothelial dysfunction, tissue hypoperfusion, and systemic inflammation—key contributors to burn-related coagulopathy. Among the protocols examined, the combination of resistance and aerobic exercise was particularly effective in regulating D-dimer and fibrinogen levels, likely due to its multi-targeted physiological effects. These findings suggest that multimodal exercise approaches may offer superior benefits in the recovery process following major burns. Abbreviations TBSA Total body surface area PT Prothrombin time APTT Activated partial thromboplastin time Declarations Ethics approval and consent to participate Ethical approval was obtained from the Hasan Kalyoncu University, Faculty of Health Sciences Ethics Committee. Informed consent was obtained from all participants prior to their inclusion in the study. Patients were fully informed about the nature, procedures, and potential risks of the study and signed a written consent form. They were also informed of their right to withdraw at any time without any consequences. Ethical approval was granted on 28.08.2020, with the decision number 2020/063. This study has been carried out in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments involving humans. Consent for Publication Not applicable. Availability of Data and Materials The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request . Competing Interests No potential conflict of interest was reported by the authors Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Authors contributions Conceptualization: MAÇ, KB, AE Methodology: MAÇ, KB, AE Investigation: MAÇ, AE Data curation: MAÇ Formal analysis: MAÇ, KB Writing - Original Draft: MAÇ, KB Writing - Review & Editing: MAÇ, KB, AE Project administration: MAÇ Acknowledgements Not applicable. Consort statement The study adheres to CONSORT guidelines References Jeschke MG, van Baar ME, Choudhry MA, Chung KK, Gibran NS, Logsetty S. Burn injury. Nat Rev Dis Primers. 2020;6:11. https://doi.org/10.1038/s41572-020-0145-5 Romanowski KS, Carson J, Pape K, Bernal E, Sharar S, Wiechman S, et al. 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Ferritin in COVID-19: A systematic review and meta-analysis. J Clin Lab Anal. 2020;34:e23618. https://doi.org/10.1002/jcla.23618 Lalueza A, Ayuso B, Arrieta E, et al. Ferritin levels for predicting poor outcomes in hospitalized influenza patients. Clin Microbiol Infect. 2020;26:1557.e9–1557.e15. https://doi.org/10.1016/j.cmi.2020.01.024 Korkmaz HI, Flokstra G, Waasdorp M, et al. The complexity of the post-burn immune response: an overview of local and systemic complications. Cells. 2023;12:345. https://doi.org/10.3390/cells12030345 Tables Table 1 Results of the normality analysis of the variables used in the study Variable Measurement Time Shapiro–Wilk Distribution Statistic P value D-Dimer D-Dimer _1 0.877 0.006 Not normal D-Dimer 2 0.800 0.000 Not normal D-Dimer 3 0.724 0.000 Not normal D-Dimer 4 0.951 0.260 Normal D-Dimer 5 0.697 0.000 Not normal D-Dimer 6 0.586 0.000 Not normal Fibrinogen Fibrinogen 1 0.916 0.041 Not normal Fibrinogen 2 0.860 0.003 Not normal Fibrinogen 3 0.921 0.053 Normal Fibrinogen 4 0.875 0.005 Not normal Fibrinogen 5 0.830 0.001 Not normal Fibrinogen 6 0.891 0.012 Not normal Platelet Platelet 1 0.913 0.036 Not normal Platelet 2 0.865 0.003 Not normal Platelet 3 0.925 0.066 Normal Platelet 4 0.965 0.519 Normal Platelet 5 0.944 0.180 Normal Platelet 6 0.855 0.002 Not normal Ferritin Ferritin 1 0.821 0.001 Not normal Ferritin 2 0.920 0.052 Normal Ferritin 3 0.473 0.000 Not normal Ferritin 4 0.757 0.000 Not normal Ferritin 5 0.726 0.000 Not normal Ferritin 6 0.671 0.000 Not normal PT PT_1 0.934 0.106 Normal PT 2 0.972 0.689 Normal PT 3 0.930 0.086 Normal PT 4 0.792 0.000 Not normal PT 5 0.805 0.000 Not normal PT 6 0.858 0.003 Not normal APTT APTT_1 0.900 0.018 Not normal APTT 2 0.968 0.594 Normal APTT 3 0.960 0.422 Normal APTT 4 0.917 0.044 Not normal APTT 5 0.949 0.241 Normal APTT_6 0.937 0.128 Normal Table 2. Distribution of participants according to their sociodemographic characteristics Variables Group 1 Group 2 Group 3 Sex n (%) Women Men 4 (25) 6 (75) 3 (30) 7 (70) 4 (25) 6 (75) Age (year) (X±SD) (Min-Maks) 38,6± 8.78 25-50 38.3 ± 9.84 23-50 39.5 ± 10.55 24-50 TBSA (X±SD) (Min-Maks) 34 ± 6.14 25-40 32.5 ± 6.34 25-40 34 ± 6.67 25-40 Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X ± SD). Table 3 Comparison of D-Dimer levels by groups of participants Group 1 Group 2 Group 3 Test value P value Bonferroni Med SD Med SD Med SD D-Dimer _1 243.00 214.78 175.83 186.00 168.88 108.66 49.00 40.24 32.39 6.829*** 0.033* 1>3 D-Dimer 2 184.00 248.78 243.16 214.00 201.13 108.69 133.00 125.10 81.80 3.140*** 0.208 D-Dimer 3 212.00 289.22 241.07 169.50 172.75 42.76 133.00 148.90 139.59 4.509*** 0.105 D-Dimer 4 205.00 216.78 88.01 110.50 102.35 78.21 91.50 90.35 79.55 6.207** 0.007* 1>2, 1>3 D-Dimer 5 146.00 243.78 252.61 94.50 108.11 100.08 51.00 59.35 59.57 5.499*** 0.064 D-Dimer 6 128.00 194.37 280.28 91.50 95.77 99.14 35.50 49.85 57.11 2.733*** 0.255 Test value 6.016**** 8.714**** 20.145**** P value 0.305 0.121 0.001* Bonferroni 2 > 6, 3 > 6 *p < 0.05, **One-way analysis of variance, ***Kruskal–Wallis test, ****Friedman test. Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables deter-mined by numerical measurement were expressed as arithmetic mean and standard deviation (X ± SD). Table 4. Comparison of fibrinogen levels by groups of participants Group 1 Group 2 Group 3 Test value P value Med SS Med SS Med SS Fibrinogen 1 62164.00 49352.11 23270.69 10778.00 26552.38 32049.82 22326.00 30555.03 21775.97 4.226*** 0.121 Fibrinogen 2 42622.00 35592.44 28460.53 24745.50 36070.13 39016.49 61133.50 52773.75 33520.39 1.546*** 0.462 Fibrinogen 3 42561.00 34246.67 28030.02 52151.50 48095.25 25273.57 52020.00 44206.88 31469.76 0.545** 0.587 Fibrinogen 4 33622.00 28354.78 21137.34 15634.50 27296.16 29473.82 41640.00 30945.47 25195.40 0.121*** 0.941 Fibrinogen 5 4715.00 20414.56 22587.17 16424.50 21982.40 23503.09 18340.50 23522.48 25140.91 0.065*** 0.968 Fibrinogen 6 20149.00 17462.22 16576.54 29796.00 26754.82 22606.98 29845.00 28677.35 25992.12 1.220*** 0.543 Test value 15.987**** 9.149**** 8.786**** p 0.007* 0.103 0.118 Bonferroni 1 > 5, 1 > 6 *p < 0.05, **One-way analysis of variance, ***Kruskal–Wallis test, ****Friedman test, median (Med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X ± SD). Table 5 Comparison of platelet counts according to groups of participants Group 1 Group 2 Group 3 Test values P value Med SS Med SS Med SS Platelet 1 252.00 321.00 172.48 211.50 210.50 91.95 238.00 240.88 72.97 1.536*** 0.464 Platelet 2 276.00 433.67 269.21 267.50 305.88 128.72 288.00 305.38 145.00 0.137** 0.873 Platelet 3 486.00 462.67 123.50 427.50 418.13 164.27 356.50 438.25 230.12 0.493** 0.618 Platelet 4 437.00 496.22 174.97 364.00 417.25 190.84 473.50 471.63 124.85 0.113** 0.893 Platelet 5 411.00 447.56 178.82 467.00 482.25 176.29 466.00 454.88 96.34 0.674*** 0.714 Platelet 6 455.00 453.11 162.28 374.00 451.88 215.52 397.00 379.50 95.77 0.875*** 0.646 Test value 5.127**** 15.286**** 14.286**** p 0.401 0.009* 0.014* Bonferroni 3 > 1, 5 > 1 4>1 *p < 0.05, **One-way analysis of variance, ***Kruskal–Wallis test, ****Friedman test, median (Med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X ± SD). Table 6 Comparison of ferritin levels according to groups of participants Group 1 Group 2 Group 3 Test values P value Bonferroni Med SS Med SS Med SS Ferritin 1 2032.00 2843.44 2593.52 2038.50 2007.88 707.45 1510.00 2160.53 2032.83 0.347*** 0.841 Ferritin 2 3969.00 4580.67 3070.37 2340.00 2777.13 2093.50 3159.50 3455.89 2590.92 1.020** 0.377 Ferritin 3 4219.00 4431.67 2676.92 2403.50 2431.63 1614.96 1183.50 7747.16 14998.18 1.851*** 0.396 Ferritin 4 2595.00 4281.00 4719.15 1665.50 2119.65 2349.93 804.80 1441.40 1575.09 2.887*** 0.236 Ferritin 5 3484.00 4389.67 4116.72 1162.50 1878.35 1608.64 398.50 747.13 874.63 8.697*** 0.013* 1>3 Ferritin 6 2822.00 3413.78 3752.43 786.00 914.06 714.99 352.00 768.88 842.43 3.691*** 0.158 Test value 5.127**** 14.071**** 26.500**** p 0.401 0.015* 0.000* Bonferroni 2 > 6 1 > 6, 2 > 6, 3 > 6, 2 > 5 *p < 0.05, **One-way analysis of variance, ***Kruskal–Wallis test, ****Friedman test, median (Med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X ± SD). Table 7 Comparison of PT according to groups of participants Group 1 Group 2 Group 3 Test values P value Med SS Med SS Med SS PT_1 13.70 14.03 1.93 13.55 13.51 1.07 12.10 12.61 1.80 1.572** 0.230 PT 2 13.10 13.22 1.25 12.95 13.16 1.22 11.80 12.23 1.48 1.476** 0.250 PT 3 12.40 13.07 1.49 12.55 12.83 1.11 12.05 12.24 1.35 0.850** 0.441 PT 4 12.80 13.10 2.00 12.80 12.95 1.26 12.20 12.79 1.54 0.901*** 0.637 PT 5 12.90 12.71 1.11 12.55 13.01 1.76 11.95 12.44 1.23 1.585*** 0.453 PT 6 13.00 13.23 1.99 12.70 12.92 1.76 12.00 12.06 1.32 2.585*** 0.275 Test value 8.610**** 5.866**** 9.255**** P 0.126 0.319 0.099 *p < 0.05, **One-way analysis of variance, ***Kruskal–Wallis test, ****Friedman test, median (Med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X ± SD). Table 8 Comparison of APTT according to groups of participants Group 1 Group 2 Group 3 Test values P value Med SS Med SS Med SS APTT_1 25.20 26.30 3.59 23.80 24.08 3.01 25.10 25.61 4.95 1.260*** 0.533 APTT 2 23.60 22.83 2.23 21.65 22.14 2.48 23.00 23.24 2.98 0.377** 0.690 APTT 3 23.90 23.66 2.56 21.85 21.46 1.54 22.65 22.66 2.75 1.842** 0.182 APTT 4 20.90 21.67 1.52 22.30 22.39 2.07 22.00 22.91 3.05 0.544*** 0.762 APTT 5 22.00 21.91 1.17 21.40 21.49 1.32 22.05 22.40 2.82 0.464** 0.635 APTT 6 21.60 21.62 2.31 21.30 21.83 1.96 21.05 22.34 3.35 0.168** 0.846 Test value 18.830**** 8.453**** 7.378**** p 0.002* 0.133 0.194 Bonferroni 1 > 4, 1 > 5, 1 > 6 *p < 0.05, **One-way analysis of variance, ***Kruskal–Wallis test, ****Friedman test, median (med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X ± SD). Additional Declarations No competing interests reported. Supplementary Files CONSORT2010Checklist.pdf Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 26 May, 2025 Reviewers agreed at journal 20 May, 2025 Reviewers agreed at journal 06 May, 2025 Reviewers agreed at journal 05 May, 2025 Reviewers invited by journal 05 May, 2025 Editor assigned by journal 29 Apr, 2025 Editor invited by journal 08 Apr, 2025 Submission checks completed at journal 08 Apr, 2025 First submitted to journal 08 Apr, 2025 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-6340011","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":453298895,"identity":"f013bbc7-9547-45d8-8b69-dcb00f72bffc","order_by":0,"name":"MURAT ALİ ÇINAR","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6klEQVRIiWNgGAWjYPACCx4GZhBdAcTMzA2ENRxgkIBqOQPSwkicFgiDsQ1M4teiOyP34ecPNRIy/O28Bz9XzquN5m8HavlRsQ2nFrMb6cYSB45J8Egc5kuWPLvteO6Mw4wNjD1nbuPRksYgcYBNgseAmcdAsnHbsdwGoBZmxja8Wph/HPgH1mL8s3HOsdz5RGhhkzjYBtZiJtnYUJO7gaCWM8/YLM72gfzCY2bZcOxA7kagloN4/XI8jflGxTcbe/7+M8Y3G2rqcuedP3zwwY8K3FrQwWEweYBo9UBQR4riUTAKRsEoGCEAAIbOVsfECRHDAAAAAElFTkSuQmCC","orcid":"","institution":"Hasan Kalyoncu University","correspondingAuthor":true,"prefix":"","firstName":"MURAT","middleName":"ALİ","lastName":"ÇINAR","suffix":""},{"id":453298897,"identity":"1811b4ea-3cbd-47a7-98c2-0720703f1e9e","order_by":1,"name":"KEZBAN BAYRAMLAR","email":"","orcid":"","institution":"Hasan Kalyoncu University","correspondingAuthor":false,"prefix":"","firstName":"KEZBAN","middleName":"","lastName":"BAYRAMLAR","suffix":""},{"id":453298899,"identity":"c52aace7-3ad4-405a-a8d1-5d789488124a","order_by":2,"name":"Ahmet Erkılıç","email":"","orcid":"","institution":"Gaziantep City Hospital","correspondingAuthor":false,"prefix":"","firstName":"Ahmet","middleName":"","lastName":"Erkılıç","suffix":""}],"badges":[],"createdAt":"2025-03-30 19:23:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6340011/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6340011/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":82277155,"identity":"b0c8c199-963f-4775-accc-de031a0d56bf","added_by":"auto","created_at":"2025-05-08 14:49:53","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":407503,"visible":true,"origin":"","legend":"\u003cp\u003eConsort flow diagram\u003c/p\u003e","description":"","filename":"fig1..jpg","url":"https://assets-eu.researchsquare.com/files/rs-6340011/v1/650a55b1782c801370e32647.jpg"},{"id":82280990,"identity":"88884c33-c7d6-48c8-a4c8-a1a0df893620","added_by":"auto","created_at":"2025-05-08 15:13:54","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1765032,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6340011/v1/f054eb12-32c9-47f0-844d-85d9ca01ab5d.pdf"},{"id":82277152,"identity":"ebe324ad-2645-4319-be47-b55f33fbe07d","added_by":"auto","created_at":"2025-05-08 14:49:53","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":84369,"visible":true,"origin":"","legend":"","description":"","filename":"CONSORT2010Checklist.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6340011/v1/51e4afa4574e3276aa01e635.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Effects Of Aerobic, Resistance, And Combined Exercise Training on Coagulation and Fibrinolytic Activity in Major Burns: A Preliminary Randomized Trial","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eBurn injuries trigger significant hypermetabolic and catabolic reactions lasting months or years. Patients with major burns covering\u0026thinsp;\u0026gt;\u0026thinsp;20% of the total body surface area (TBSA) experience severe hyperdynamic and hypermetabolic responses, including lipolysis, proteolysis, glycolysis, and high fever (\u003cspan additionalcitationids=\"CR2\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). These responses contribute to coagulopathy, impaired fibrinolysis, delayed wound healing, immune suppression, and high mortality rates (\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eCoagulopathy is common in major, complicating treatment. The inflammatory response following burns disrupts clot formation, leading to burn-induced coagulopathy, resembling that observed in sepsis or trauma patients \u003csup\u003e(\u003c/sup\u003e7,8). This condition can cause thromboembolic complications, multiple organ failure, and increased mortality. Post-burn hypermetabolism, inflammation, hypothermia, and endothelial damage are believed to contribute to coagulopathy (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eExercise minimizes post-burn hypermetabolism, prevents muscle atrophy, improves pulmonary function, enhances functional capacity, and promotes wound healing (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). However, studies on coagulopathy and fibrinolysis in burn patients remain limited. While the effects of exercise on coagulation and fibrinolysis have been explored in the general population, their impact on burn patients is unclear (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). This study aims to compare three exercise protocols to determine their effects on coagulation and fibrinolytic activity in burn patients.\u003c/p\u003e"},{"header":"MATERIALS AND METHODS","content":"\u003cp\u003eThis study was conducted at XXX University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation between June 2020 and July 2023, and included 30 major flame burn patients who were hospitalized at the XXXX Hospital Burn Centre. Major burns were defined as burns involving more than 20% of the total body surface area (TBSA) in adults, more than 10% in individuals under 16 years of age, and more than 10% in individuals over 50 years of age (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e). From the time of emergency admission and acute care of the burn injury until discharge, all patients received similar standard medical care and treatment. Nutritional support, including nutrient types and diets, was standardized across all groups. In addition, the types and numbers of clinical interventions, such as surgical debridement and grafting, were comparable in all patients. Planning and reporting were guided by the CONSORT 2010 checklist.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eInclusion criteria\u003c/h2\u003e \u003cp\u003eConscious and cooperative (Glasgow Coma Scale E4M6V5)\u003c/p\u003e \u003cp\u003eEnterally fed\u003c/p\u003e \u003cp\u003eAged\u0026thinsp;\u0026gt;\u0026thinsp;18 years\u003c/p\u003e \u003cp\u003eMajor burns (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eStable hemodynamic values, no inotropic medication requirement\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eExclusion criteria\u003c/h3\u003e\n\u003cp\u003eInhalation injury\u003c/p\u003e \u003cp\u003eAdditional trauma (fracture, amputation, etc.)\u003c/p\u003e \u003cp\u003eOrgan dysfunction or multiple organ failure\u003c/p\u003e \u003cp\u003eChronic diseases affecting respiratory/muscle function ( heart failure, diabetes, etc.)\u003c/p\u003e\n\u003ch3\u003eRandomization\u003c/h3\u003e\n\u003cp\u003eThe individuals included in the study were assigned to three groups using the covariate adaptive randomization method based on burn percentage and burn type (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). The random allocation sequence was generated by the principal investigator to ensure balanced group distribution. Participants were enrolled and assigned to interventions by the same investigator, who also recorded and managed the data throughout the study. Since no blinding was applied, all allocations were made transparently based on the predefined randomization criteria. (figure-1).\u003c/p\u003e\n\u003ch3\u003eEvaluation parameters\u003c/h3\u003e\n\u003cp\u003eThe patients were evaluated weekly for 6 weeks, starting from the first day of admission. Exercise protocols were administered 5 days per week, and the exercise sessions in each group were conducted under the supervision of an experienced physiotherapist. Each session lasted 50 minutes. Coagulation and fibrinolytic activity were assessed using the following parameters: platelet count; D-dimer, fibrinogen, and ferritin levels; prothrombin time (PT); and activated partial thromboplastin time (APTT).\u003c/p\u003e \u003cp\u003ePatients in all groups underwent biochemical tests for 6 weeks starting from the first day of admission to the burn center. Both baseline and weekly values of the measured parameters were recorded. Venous blood samples were collected weekly throughout the intervention period, following a 12-hour fasting period. All samples were obtained by an experienced burn unit nurse under the supervision of a specialist physician. The first blood sample was taken 24 hours after burn injury and served as the baseline measurement.\u003c/p\u003e\n\u003ch3\u003eExercise Interventions\u003c/h3\u003e\n\u003cp\u003e \u003cb\u003eGroup 1 (Standard Treatment\u0026thinsp;+\u0026thinsp;Resistance Exercise)\u003c/b\u003e: Standard treatment consisted of medical treatment (pharmacological and), surgical treatment, and standard physiotherapy exercises applied in the hospital period to major burn patients (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). The standard physiotherapy exercises included joint mobility exercises, general breathing exercises, bronchial hygiene techniques, ankle pumping exercises, in-bed isometric exercises, and early mobilization (starting from the first day) (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). The resistance exercise portion of the group included nine specific exercises: knee extension, knee flexion, trunk flexion, trunk extension, hip extension, hip flexion, hip abduction, shoulder flexion, and shoulder abduction (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). For resistance training, the SportDelta1462-2X1 brand 1\u0026ndash;5 kg sandbag set, which could be tied to the wrist, was used to add additional weight to the exercises. Each session had a total duration of 50 minutes, comprising 30 minutes of standard physiotherapy and 20 minutes of resistance exercises, conducted under the supervision of an experienced physiotherapist.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eGroup 2 (standard treatment\u0026thinsp;+\u0026thinsp;aerobic exercise training)\u003c/strong\u003e \u003cp\u003eIn this group, in addition to the standard treatment given to the patients in the first group, aerobic exercises were given. Standard physiotherapy exercises were applied for 30 minutes and aerobic exercises for 20 minutes. For the aerobic exercise, patients performed cycle ergometer training using a portable exercise bike (Hausse Portable Exercise Pedal Bike) placed beside the bed while seated. The pedal resistance was adjusted according to the \"Ratings of Perceived Exertion (RPE)\" scale, maintaining an intensity of 10\u0026ndash;12 on the scale (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e).\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eGroup 3 (Standard Treatment\u0026thinsp;+\u0026thinsp;Combined Exercise)\u003c/strong\u003e \u003cp\u003eIn this group, in addition to the standard treatment given to the patients in the first group, resistance and aerobic exercises were given together (combined). Standard physiotherapy exercises were applied for 30 minutes and combined exercises for 20 minutes. For the resistance exercise, the protocol included selected exercises from the original 20-minute resistance training routine. To accommodate the reduced time, fewer exercises were performed, and the duration of each exercise was shortened. The resistance exercises included knee extension, knee flexion, trunk flexion, and hip extension, ensuring the focus remained on overall muscle strength while fitting within the 10-minute timeframe. For resistance training, the SportDelta1462-2X1 brand 1\u0026ndash;5 kg sandbag set, which could be tied to the wrist, was used to add additional weight to the exercises. The aerobic exercise portion involved 10 minutes of cycle ergometer training. Patients used the portable exercise bike (Hausse Portable Exercise Pedal Bike) placed beside the bed while seated. The pedal resistance was adjusted based on the \"Ratings of Perceived Exertion (RPE)\" scale, maintaining an intensity of 10\u0026ndash;12 on the scale (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e).\u003c/p\u003e \u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eData analyses were conducted using the free trial version of Statistical Package for Social Sciences for Windows version 25.0. Descriptive statistical methods included number, percentage, median, mean, and standard deviation. The Shapiro\u0026ndash;Wilk test was used to assess the normality of data distribution. Parametric tests were applied to data with normal distribution, and non-parametric tests were used otherwise. One-way ANOVA was employed for comparing more than two independent groups with normal distribution, while the Kruskal\u0026ndash;Wallis test was used for comparisons between non-normally distributed groups. The Friedman test was used to analyze non-normally distributed within-group repeated measures. When significant differences emerged: The Bonferroni post-hoc test was applied following the Friedman test to determine which time points differed significantly within groups. For between-group comparisons, when one-way ANOVA indicated significance, the Bonferroni correction was applied in post-hoc pairwise comparisons to control for Type I error.\u003c/p\u003e \u003cp\u003eThe Bonferroni correction was chosen because it is a conservative method for minimizing Type I error risk, particularly important given the relatively small sample size and multiple comparisons. Normality analysis results are presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, with Shapiro\u0026ndash;Wilk test p-values\u0026thinsp;\u0026gt;\u0026thinsp;0.05 and \u0026lt;\u0026thinsp;0.05 indicating normal and non-normal distribution, respectively. Regarding sample size, an a priori sample size calculation was not performed, due to the absence of sufficient prior data on effect size estimation for this specific patient population. Instead, a post-hoc power analysis was conducted using G*Power version 3.1.9.2 software, based on the actual data obtained from the study. The observed effect size was 0.6818, which was calculated from the collected data (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e). At an alpha level of 0.05, the study achieved a post-hoc statistical power of 81.9%, indicating an adequate sample size for the analyses conducted (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e). In future studies, an a priori power analysis based on pilot data or relevant literature will be considered to improve methodological rigor.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003eThe distribution of participants according to their sociodemographic characteristics is presented in Table 2.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eD-dimer Levels\u003c/strong\u003e: Intergroup comparison of D-dimer levels revealed a significant difference between the 1st and 4th measurements (p \u0026lt; 0.05) (Table 3). To identify the group causing this difference, the Bonferroni test was applied. The D-dimer levels in the 1st measurement were higher in Group 1 than in Group 3. Additionally, the 4th measurement of D-dimer levels in Group 1 was higher than in both Groups 2 and 3. When comparing all six measurements, a significant difference was observed in D-dimer levels in Group 3 (p \u0026lt; 0.05). The Bonferroni test revealed that the 2nd and 3rd measurements of D-dimer levels in Group 1 were higher than the 6th measurement (Table 3).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFibrinogen Levels:\u003c/strong\u003e When fibrinogen levels were compared across the groups, no significant differences were observed between the groups (p \u0026gt; 0.05) (Table 4). However, within Group 1, a significant difference was found in the fibrinogen levels when comparing the six measurements (p \u0026lt; 0.05). The Bonferroni test indicated that the 1st measurement of fibrinogen levels in Group 1 was higher than the 5th and 6th measurements (Table 4).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePlatelet Count\u003c/strong\u003e: No significant differences were found between the groups when platelet counts were compared (p \u0026gt; 0.05). However, within Groups 2 and 3, significant differences were observed in platelet counts across the six measurements (p \u0026lt; 0.05) (Table 5). The Bonferroni test revealed that the 3rd and 4th measurements of platelet counts in Group 2 were higher than the 1st measurement, while the 4th measurement of platelet counts in Group 3 was higher than the 1st measurement (Table 5).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFerritin Levels:\u003c/strong\u003e Intergroup comparison of ferritin levels revealed a significant difference in the 5th measurement (p \u0026lt; 0.05) (Table 6). The Bonferroni test identified that the 5th measurement of ferritin levels in Group 1 was higher than in Group 3. Furthermore, when the six measurements within the groups were compared, significant differences in ferritin levels were observed in Groups 2 and 3 (p \u0026lt; 0.05). The Bonferroni test revealed that the 2nd measurement of ferritin levels in Group 2 was higher than the 6th measurement, while the 1st, 2nd, and 3rd measurements of ferritin levels in Group 3 were higher than the 6th measurement. Additionally, the 2nd measurement of ferritin levels in Group 3 was higher than the 5th measurement (Table 6).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eProthrombin Time (PT):\u003c/strong\u003e No significant differences were observed in PT measurements between the groups (p \u0026gt; 0.05). Within each group, no significant differences were found in PT values across the six measurements (p \u0026gt; 0.05) (Table 7).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eActivated Partial Thromboplastin Time (APTT):\u003c/strong\u003e When APTT values were compared between groups, no significant differences were observed (p \u0026gt; 0.05). However, a significant difference was found in the APTT values within Group 1 (p \u0026lt; 0.05) when comparing the six measurements. The Bonferroni test indicated that the 1st measurement of APTT values in Group 1 was higher than the 4th, 5th, and 6th measurements (Table 8).\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eThe findings of this study demonstrate significant changes in coagulation and fibrinolytic markers\u0026mdash;namely D-dimer, fibrinogen, and ferritin\u0026mdash;across the treatment groups. Notably, both aerobic and combined exercise protocols (Groups 2 and 3), when added to standard treatment, were more effective in modulating coagulation and fibrinolytic activity compared to resistance exercise alone (Group 1). Among all interventions, the combined exercise group showed the most rapid normalization of coagulation parameters. While improvements were also observed in Groups 1 and 2, the effects were less pronounced than those seen in the combined exercise group. These results suggest that although resistance and aerobic exercises individually yield positive outcomes, their combination (combine exercises) offers superior physiological benefits.\u003c/p\u003e \u003cp\u003ePhysical inactivity is widely known to have a negative impact on coagulation and fibrinolytic activity, particularly in conditions involving systemic inflammation or metabolic dysregulation. Previous studies have emphasized that mild-to-moderate aerobic exercise positively affects coagulation and fibrinolytic parameters in individuals with cardiovascular disease, hypertension, obesity, and healthy populations (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e). D-dimer, a well-established biomarker for the activation of coagulation and fibrinolytic systems, is a critical parameter in evaluating the progression of coagulopathy in burn patients (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e). D-dimer tends to increase in major traumas, such as burns and coagulopathy. A comprehensive study conducted by Zhang et al. in patients with coronavirus disease 2019 (COVID-19) reported an increase in the mortality rate among those with D-dimer levels of \u0026ge;\u0026thinsp;2 mg/L (\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e). Geng et al. investigated coagulopathy in patients with burns and reported that those with levels\u0026thinsp;\u0026gt;\u0026thinsp;2\u0026ndash;2.7 mg/L were less likely to survive than other patients (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). In this study, D-dimer levels were lower in Group 2 (the standard treatment\u0026thinsp;+\u0026thinsp;aerobic exercise group) and Group 3 (the standard treatment\u0026thinsp;+\u0026thinsp;combined exercise group) compared to Group 1 (the standard treatment\u0026thinsp;+\u0026thinsp;resistance exercise group). Furthermore, Group 3 demonstrated a higher recovery rate of D-dimer levels, with more patients achieving normal values within a shorter timeframe. This suggests that combining resistance and aerobic exercise may have a synergistic effect on endothelial recovery and fibrinolytic activity, potentially accelerating the resolution of coagulation abnormalities.\u003c/p\u003e \u003cp\u003eBurn-induced coagulopathy is often linked to systemic inflammatory responses that drive hypermetabolism and abnormal coagulation pathways (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e). Elevated fibrinogen levels and platelet counts are common in burn patients due to the inflammatory and metabolic demands of tissue repair (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). While intergroup comparisons in this study did not show significant differences in fibrinogen levels or platelet counts, fibrinogen levels tended to decrease in Groups 1 and 2, particularly in later measurements. This downward trend, combined with elevated D-dimer levels, may reflect ongoing coagulation activity. By contrast, Group 3 exhibited more stable fibrinogen levels, suggesting that the combined exercise protocol may help mitigate the hypercoagulable state. These findings highlight the potential of tailored exercise protocols to influence coagulation markers, though larger studies with extended follow-up are warranted to validate these results (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eSchneider et al. reported that combined aerobic and resistance exercise effectively reduced both systolic and diastolic blood pressure in hypertensive individuals, with greater benefits observed at higher exercise intensities (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e). This suggests that the physiological benefits of combined exercise modalities may extend beyond vascular health to include broader systemic effects, such as improved coagulation dynamics. Moreover, Liu et al. demonstrated that combined aerobic and resistance exercise enhanced physical function, aerobic capacity, and health-related quality of life in patients undergoing maintenance hemodialysis (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e). While their study focused on a different population, the observed benefits align with our findings, particularly in Group 3, where the combined exercise protocol appeared to produce the most favorable outcomes.\u003c/p\u003e \u003cp\u003eIntergroup comparisons in this study revealed that Group 3 showed more favorable outcomes in both D-dimer and ferritin levels, suggesting that the combination of resistance and aerobic exercise may have a synergistic effect on coagulation and fibrinolytic activity. Although Group 1 (resistance exercise) and Group 2 (aerobic exercise) also demonstrated improvements in coagulation markers, these changes were less pronounced compared to Group 3. These results indicate that while each form of exercise independently contributed to some improvements, the combination of both resistance and aerobic exercises appeared to produce more substantial benefits. This is consistent with meta-analytic findings by Akalp et al., who observed that aerobic and resistance exercises independently improved markers of inflammation and cognitive function in older adults, while their combination yielded even greater benefits (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAdditionally, a randomized trial focusing on burn patients demonstrated that aerobic exercise reduced neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios, both of which are important markers of systemic inflammation and coagulation (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e). While the present study did not include these specific markers, the observed reductions in ferritin and improvements in D-dimer levels in Groups 2 and 3 suggest that aerobic and combined exercise protocols may similarly reduce systemic inflammation and enhance coagulation dynamics.\u003c/p\u003e \u003cp\u003eFerritin, traditionally considered an iron storage protein, has emerged as a marker of systemic inflammation, particularly in conditions like COVID-19 and systemic inflammatory response syndrome (SIRS) (\u003cspan additionalcitationids=\"CR28 CR29 CR30\" citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e). Elevated ferritin levels in burn patients are indicative of the hyperinflammatory state resulting from burn-induced tissue damage. This study found that ferritin levels were lower in Groups 2 and 3 compared to Group 1, suggesting that aerobic and combined exercise protocols may attenuate burn-induced inflammation. However, no significant differences were observed between Groups 2 and 3, which may indicate similar anti-inflammatory effects of these exercise modalities. These results align with previous findings that aerobic exercise reduces inflammatory cytokines, while resistance exercise supports metabolic efficiency (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e). Future research should further explore ferritin as a biomarker for monitoring the effects of exercise on inflammation and coagulopathy in burn patients.\u003c/p\u003e \u003cp\u003eProthrombin time (PT) and activated partial thromboplastin time (APTT) are key markers used to evaluate acute or early-onset coagulopathy, particularly within the first 24 hours of burn injury (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e). In this study, PT and APTT values remained within normal ranges across all groups, indicating the absence of acute coagulopathy. Although APTT values at week 3 showed a statistically significant difference between Groups 1 and 2, these differences were clinically insignificant as they remained within the reference range. This underscores the importance of interpreting statistical findings in conjunction with clinical relevance when assessing coagulation markers.\u003c/p\u003e \u003cp\u003eIn summary, this study demonstrates that exercise protocols incorporating aerobic or combined modalities may positively influence coagulation and fibrinolytic activity in burn patients. The combined exercise protocol (Group 3) appeared particularly effective in modulating D-dimer levels and stabilizing fibrinogen levels, likely due to its multifaceted approach to addressing systemic inflammation and metabolic demands. These findings underscore the need for further research to elucidate the mechanisms underlying these effects and to explore the potential of exercise as an adjunctive therapy in burn rehabilitation. Future studies with larger sample sizes, diverse patient populations, and extended follow-up periods will be critical in validating these findings and optimizing exercise protocols for burn care.\u003c/p\u003e \u003cp\u003eThis study has several limitations. First, the relatively small sample size limits the generalizability of the findings. Second, the absence of a non-exercise control group prevents definitive conclusions regarding the direct effects of the combined exercise intervention compared to standard care alone. Additionally, as a preliminary randomized comparative study, the short follow-up period restricts the ability to assess the long-term effects of exercise on coagulation and fibrinolytic dynamics in patients with major burns. Future studies with larger sample sizes, longer follow-up periods, and control groups are necessary to validate these findings and to establish clear clinical guidelines.\u003c/p\u003e"},{"header":"CONCLUSIONS","content":"\u003cp\u003eThis study underscores the potential role of different exercise interventions in improving coagulation and fibrinolytic activity in burn patients. Implementing structured exercise protocols from the onset of treatment may help counteract endothelial dysfunction, tissue hypoperfusion, and systemic inflammation\u0026mdash;key contributors to burn-related coagulopathy. Among the protocols examined, the combination of resistance and aerobic exercise was particularly effective in regulating D-dimer and fibrinogen levels, likely due to its multi-targeted physiological effects. These findings suggest that multimodal exercise approaches may offer superior benefits in the recovery process following major burns.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eTBSA\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTotal body surface area\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003ePT\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eProthrombin time\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eAPTT\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eActivated partial thromboplastin time\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthical approval was obtained from the Hasan Kalyoncu University, Faculty of Health Sciences Ethics Committee. Informed consent was obtained from all participants prior to their inclusion in the study. Patients were fully informed about the nature, procedures, and potential risks of the study and signed a written consent form. They were also informed of their right to withdraw at any time without any consequences. Ethical approval was granted on 28.08.2020, with the decision number 2020/063. This study has been carried out in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments involving humans.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for Publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of Data and Materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated and analyzed during the current study are available from the corresponding author on reasonable request\u003cstrong\u003e.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting Interests\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo potential conflict of interest was reported by the authors\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConceptualization: MA\u0026Ccedil;, KB, AE\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMethodology: MA\u0026Ccedil;, KB, AE\u003c/p\u003e\n\u003cp\u003eInvestigation: MA\u0026Ccedil;, AE\u003c/p\u003e\n\u003cp\u003eData curation: MA\u0026Ccedil;\u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFormal analysis: MA\u0026Ccedil;, KB\u003c/p\u003e\n\u003cp\u003eWriting - Original Draft: MA\u0026Ccedil;, KB\u003c/p\u003e\n\u003cp\u003eWriting - Review \u0026amp; Editing: MA\u0026Ccedil;, KB, AE\u003c/p\u003e\n\u003cp\u003eProject administration: MA\u0026Ccedil;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsort statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study adheres to CONSORT guidelines\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eJeschke MG, van Baar ME, Choudhry MA, Chung KK, Gibran NS, Logsetty S. 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Incidence and prognostic value of acute coagulopathy after extensive severe burns. J Burn Care Res. 2020;41:544\u0026ndash;549. https://doi.org/10.1093/jbcr/iraa020\u003c/li\u003e\n\u003cli\u003eHayıroğlu Mİ, \u0026Ccedil;ınar T, Tekkeşin Aİ. Fibrinogen and D-dimer variances and anticoagulation recommendations in COVID-19: current literature review. Rev Assoc Med Bras. 2020;66:842\u0026ndash;848. https://doi.org/10.1590/1806-9282.66.6.842\u003c/li\u003e\n\u003cli\u003eGlas GJ, Levi M, Schultz MJ. Coagulopathy and its management in patients with severe burns. J Thromb Haemost. 2016;14:865\u0026ndash;874. https://doi.org/10.1111/jth.13289\u003c/li\u003e\n\u003cli\u003eSchneider VM, Domingues LB, Umpierre D, et al. Exercise characteristics and blood pressure reduction after combined aerobic and resistance training: a systematic review with meta-analysis and meta-regression. J Hypertens. 2023;41:1068\u0026ndash;1076. https://doi.org/10.1097/HJH.0000000000003420\u003c/li\u003e\n\u003cli\u003eLiu Y, Luo X, Deng S, et al. Combined aerobic and resistance exercise in maintenance hemodialysis patients: A meta-analysis. Semin Dial. 2023;36:278\u0026ndash;293. https://doi.org/10.1111/sdi.13052\u003c/li\u003e\n\u003cli\u003eAkalp K, Ferreira JP, Soares CM, et al. The effects of different types of exercises on cognition in older persons with mild cognitive impairment: a systematic review and meta-analysis. Arch Gerontol Geriatr. 2024;112:105541. https://doi.org/10.1016/j.archger.2023.105541\u003c/li\u003e\n\u003cli\u003e\u0026Ccedil;ınar MA, Erkılı\u0026ccedil; A. Effect of aerobic exercise on neutrophil\u0026ndash;lymphocyte ratio, platelet\u0026ndash;lymphocyte ratio, and lymphocyte\u0026ndash;monocyte ratio in burn patients: A randomized controlled trial. J Plast Reconstr Aesthet Surg. 2024.\u003c/li\u003e\n\u003cli\u003eKnovich MA, Storey JA, Coffman LG, et al. Ferritin for the clinician. Blood Rev. 2009;23:95\u0026ndash;104. https://doi.org/10.1016/j.blre.2008.08.001\u003c/li\u003e\n\u003cli\u003eZhang X, Huang S, Xu H. Serum ferritin level in healthy children: a reference interval study. J Lab Med. 2022;46:121\u0026ndash;124. https://doi.org/10.1515/labmed-2021-0209\u003c/li\u003e\n\u003cli\u003eLin Z, Long F, Yang Y, et al. Serum ferritin as an independent risk factor for severity in COVID-19 patients. J Infect. 2020;81:647\u0026ndash;679. https://doi.org/10.1016/j.jinf.2020.06.053\u003c/li\u003e\n\u003cli\u003eCheng L, Li H, Li L, et al. Ferritin in COVID-19: A systematic review and meta-analysis. J Clin Lab Anal. 2020;34:e23618. https://doi.org/10.1002/jcla.23618\u003c/li\u003e\n\u003cli\u003eLalueza A, Ayuso B, Arrieta E, et al. Ferritin levels for predicting poor outcomes in hospitalized influenza patients. Clin Microbiol Infect. 2020;26:1557.e9\u0026ndash;1557.e15. https://doi.org/10.1016/j.cmi.2020.01.024\u003c/li\u003e\n\u003cli\u003eKorkmaz HI, Flokstra G, Waasdorp M, et al. The complexity of the post-burn immune response: an overview of local and systemic complications. Cells. 2023;12:345. https://doi.org/10.3390/cells12030345\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003eTable 1 Results of the normality analysis of the variables used in the study\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 120px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMeasurement\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTime\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 241px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eShapiro\u0026ndash;Wilk\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 120px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDistribution\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 120px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStatistic\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 120px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"6\" style=\"width: 120px;\"\u003e\n \u003cp\u003eD-Dimer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eD-Dimer _1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.877\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eD-Dimer 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eD-Dimer 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.724\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eD-Dimer 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.951\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.260\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eD-Dimer 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.697\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eD-Dimer 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.586\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"6\" style=\"width: 120px;\"\u003e\n \u003cp\u003eFibrinogen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003eFibrinogen 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.916\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.041\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003eFibrinogen 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.860\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003eFibrinogen 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.921\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.053\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003eFibrinogen 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.875\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003eFibrinogen 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.830\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 142px;\"\u003e\n \u003cp\u003eFibrinogen 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.891\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"6\" style=\"width: 120px;\"\u003e\n \u003cp\u003ePlatelet\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePlatelet 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.913\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.036\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePlatelet 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.865\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePlatelet 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.925\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.066\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePlatelet 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.965\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePlatelet 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.944\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.180\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePlatelet 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.855\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"6\" style=\"width: 120px;\"\u003e\n \u003cp\u003eFerritin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eFerritin 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.821\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eFerritin 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.920\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.052\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eFerritin 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.473\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eFerritin 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.757\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eFerritin 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.726\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eFerritin 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.671\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"6\" style=\"width: 120px;\"\u003e\n \u003cp\u003ePT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePT_1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.934\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.106\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePT 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.972\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.689\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePT 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.930\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePT 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.792\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePT 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.805\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003ePT 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.858\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"6\" style=\"width: 120px;\"\u003e\n \u003cp\u003eAPTT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eAPTT_1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.900\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eAPTT 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.968\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eAPTT 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.960\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.422\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eAPTT 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.917\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNot normal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eAPTT 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.949\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.241\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003eAPTT_6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.937\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003e0.128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 120px;\"\u003e\n \u003cp\u003eNormal\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 2.\u0026nbsp;Distribution of participants according to their\u0026nbsp;sociodemographic\u0026nbsp;characteristics\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"612\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 125px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 159px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSex\u0026nbsp;\u003c/strong\u003en (%)\u003c/p\u003e\n \u003cp\u003eWomen\u003c/p\u003e\n \u003cp\u003eMen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 125px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e4 (25)\u003c/p\u003e\n \u003cp\u003e6 (75)\u003c/p\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 \u003cp\u003e3 (30)\u003c/p\u003e\n \u003cp\u003e7 (70)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 159px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e4 (25)\u003c/p\u003e\n \u003cp\u003e6 (75)\u003c/p\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: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eAge (year)\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(X\u0026plusmn;SD)\u003c/p\u003e\n \u003cp\u003e(Min-Maks)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 125px;\"\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e38,6\u0026plusmn; 8.78\u003c/p\u003e\n \u003cp\u003e25-50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e38.3 \u0026plusmn; 9.84\u003c/p\u003e\n \u003cp\u003e23-50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 159px;\"\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e39.5 \u0026plusmn; 10.55\u003c/p\u003e\n \u003cp\u003e24-50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 187px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTBSA\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e(X\u0026plusmn;SD)\u003c/p\u003e\n \u003cp\u003e(Min-Maks)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 125px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e34 \u0026plusmn; 6.14\u003c/p\u003e\n \u003cp\u003e25-40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 142px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e32.5 \u0026plusmn; 6.34\u003c/p\u003e\n \u003cp\u003e25-40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 159px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e34 \u0026plusmn; 6.67\u003c/p\u003e\n \u003cp\u003e25-40\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eGroup 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X \u0026plusmn; SD).\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eTable 3 Comparison of D-Dimer levels by groups of participants\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 20px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTest value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBonferroni\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eD-Dimer _1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e243.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e214.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e175.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e186.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e168.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e108.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e49.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e40.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e32.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e6.829***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.033*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1\u0026gt;3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eD-Dimer 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e184.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e248.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e243.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e214.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e201.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e108.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e133.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e125.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e81.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e3.140***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.208\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eD-Dimer 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e212.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e289.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e241.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e169.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e172.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e42.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e133.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e148.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e139.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e4.509***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eD-Dimer 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e205.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e216.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e88.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e110.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e102.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e78.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e91.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e90.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e79.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e6.207**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.007*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1\u0026gt;2, 1\u0026gt;3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eD-Dimer 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e146.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e243.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e252.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e94.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e108.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e100.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e51.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e59.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e59.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e5.499***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.064\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eD-Dimer 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e128.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e194.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e280.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e91.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e95.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e99.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e35.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e49.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e57.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e2.733***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.255\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\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: 11px;\"\u003e\n \u003cp\u003eTest value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 20px;\"\u003e\n \u003cp\u003e6.016****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e8.714****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e20.145****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\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: 11px;\"\u003e\n \u003cp\u003eP value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 20px;\"\u003e\n \u003cp\u003e0.305\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e0.121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.001*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\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: 11px;\"\u003e\n \u003cp\u003eBonferroni\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 20px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e2 \u0026gt; 6, 3 \u0026gt; 6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\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\u003cp\u003e*p \u0026lt; 0.05, **One-way analysis of variance, ***Kruskal\u0026ndash;Wallis test, ****Friedman test. Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables deter-mined by numerical measurement were expressed as arithmetic mean and standard deviation (X \u0026plusmn; SD).\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eTable 4.\u0026nbsp;Comparison of fibrinogen levels by groups of participants\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"883\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eTest value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFibrinogen 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e62164.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e49352.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e23270.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e10778.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e26552.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e32049.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e22326.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e30555.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e21775.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e4.226***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.121\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFibrinogen 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e42622.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e35592.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e28460.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e24745.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e36070.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e39016.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e61133.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e52773.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e33520.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e1.546***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.462\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFibrinogen 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e42561.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e34246.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e28030.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e52151.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e48095.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e25273.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e52020.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e44206.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e31469.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.545**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.587\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFibrinogen 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e33622.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e28354.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e21137.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e15634.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e27296.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e29473.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e41640.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e30945.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e25195.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.121***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.941\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFibrinogen 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e4715.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e20414.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e22587.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e16424.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e21982.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e23503.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e18340.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e23522.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e25140.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.065***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.968\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFibrinogen 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e20149.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e17462.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e16576.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e29796.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e26754.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e22606.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e29845.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e28677.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e25992.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e1.220***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e0.543\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTest value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e15.987****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e9.149****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e8.786****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.007*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e0.103\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e0.118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eBonferroni\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003e1 \u0026gt; 5, 1 \u0026gt; 6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\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\u003cp\u003e*p \u0026lt; 0.05, **One-way analysis of variance, ***Kruskal\u0026ndash;Wallis test, ****Friedman test, median (Med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X \u0026plusmn; SD).\u003c/p\u003e\n\u003cp\u003eTable 5 Comparison of platelet counts according to groups of participants\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003eGroup 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003eGroup 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 24px;\"\u003e\n \u003cp\u003eGroup 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 8px;\"\u003e\n \u003cp\u003eTest values\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 5px;\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003eMed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003eMed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003eMed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003ePlatelet 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e252.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e321.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e172.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e211.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e210.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e91.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e238.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e240.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e72.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e1.536***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\u003e\n \u003cp\u003e0.464\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003ePlatelet 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e276.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e433.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e269.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e267.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e305.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e128.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e288.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e305.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e145.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.137**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\u003e\n \u003cp\u003e0.873\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003ePlatelet 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e486.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e462.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e123.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e427.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e418.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e164.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e356.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e438.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e230.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.493**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\u003e\n \u003cp\u003e0.618\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003ePlatelet 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e437.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e496.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e174.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e364.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e417.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e190.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e473.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e471.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e124.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.113**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\u003e\n \u003cp\u003e0.893\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003ePlatelet 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e411.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e447.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e178.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e467.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e482.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e176.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e466.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e454.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e96.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.674***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\u003e\n \u003cp\u003e0.714\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 14px;\"\u003e\n \u003cp\u003ePlatelet 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e455.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e453.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e162.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e374.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e451.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e215.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e397.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e379.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e95.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.875***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\u003e\n \u003cp\u003e0.646\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14px;\"\u003e\n \u003cp\u003eTest value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003e5.127****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003e15.286****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 24px;\"\u003e\n \u003cp\u003e14.286****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\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: 14px;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.401\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003e0.009*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 24px;\"\u003e\n \u003cp\u003e0.014*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\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: 14px;\"\u003e\n \u003cp\u003eBonferroni\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23px;\"\u003e\n \u003cp\u003e3 \u0026gt; 1, 5 \u0026gt; 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 24px;\"\u003e\n \u003cp\u003e4\u0026gt;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5px;\"\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\u003cp\u003e*p \u0026lt; 0.05, **One-way analysis of variance, ***Kruskal\u0026ndash;Wallis test, ****Friedman test, median (Med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X \u0026plusmn; SD).\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eTable 6 Comparison of ferritin levels according to groups of participants\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"105%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTest values\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003evalue\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 9px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBonferroni\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eFerritin 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2032.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2843.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2593.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2038.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2007.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e707.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e1510.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2160.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e2032.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.347***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.841\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eFerritin 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3969.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4580.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3070.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2340.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2777.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2093.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3159.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3455.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e2590.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e1.020**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.377\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eFerritin 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4219.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4431.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2676.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2403.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2431.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e1614.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e1183.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e7747.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e14998.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e1.851***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.396\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eFerritin 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2595.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4281.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4719.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e1665.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2119.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2349.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e804.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e1441.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e1575.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e2.887***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eFerritin 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3484.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4389.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e4116.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e1162.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e1878.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e1608.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e398.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e747.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e874.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e8.697***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.013*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1\u0026gt;3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eFerritin 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e2822.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3413.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e3752.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e786.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e914.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e714.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e352.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e768.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e842.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e3.691***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e0.158\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\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: 11px;\"\u003e\n \u003cp\u003eTest value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e5.127****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e14.071****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e26.500****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\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: 11px;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e0.401\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.015*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\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: 11px;\"\u003e\n \u003cp\u003eBonferroni\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e2 \u0026gt; 6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1 \u0026gt; 6, 2 \u0026gt; 6, 3 \u0026gt; 6, 2 \u0026gt; 5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9px;\"\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\u003cp\u003e*p \u0026lt; 0.05, **One-way analysis of variance, ***Kruskal\u0026ndash;Wallis test, ****Friedman test, median (Med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X \u0026plusmn; SD).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 7 Comparison of PT according to groups of participants\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTest values\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 3px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003ePT_1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e13.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e14.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e13.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e13.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e1.572**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3px;\"\u003e\n \u003cp\u003e0.230\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003ePT 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e13.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e13.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e13.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e11.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e1.476**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3px;\"\u003e\n \u003cp\u003e0.250\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003ePT 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e13.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.850**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3px;\"\u003e\n \u003cp\u003e0.441\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003ePT 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e13.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.901***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3px;\"\u003e\n \u003cp\u003e0.637\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003ePT 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e13.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e11.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e1.585***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3px;\"\u003e\n \u003cp\u003e0.453\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003ePT 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e13.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e13.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e12.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e12.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e2.585***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3px;\"\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: 7px;\"\u003e\n \u003cp\u003eTest\u0026nbsp;\u003c/p\u003e\n \u003cp\u003evalue\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e8.610****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e5.866****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e9.255****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3px;\"\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: 7px;\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e0.126\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e0.319\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26px;\"\u003e\n \u003cp\u003e0.099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3px;\"\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\u003cp\u003e*p \u0026lt; 0.05, **One-way analysis of variance, ***Kruskal\u0026ndash;Wallis test, ****Friedman test, median (Med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X \u0026plusmn; SD).\u003c/p\u003e\n\u003cp\u003eTable 8 Comparison of APTT according to groups of participants\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGroup 3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTest values\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003eAPTT_1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e25.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e26.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e3.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e23.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e24.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e3.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e25.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e25.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e4.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e1.260***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.533\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003eAPTT 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e23.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e2.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e2.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e23.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e23.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e2.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.377**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.690\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003eAPTT 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 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\u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003eAPTT 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e20.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e2.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e3.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.544***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.762\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003eAPTT 5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e2.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.464**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.635\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13px;\"\u003e\n \u003cp\u003eAPTT 6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e2.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e1.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e21.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7px;\"\u003e\n \u003cp\u003e22.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6px;\"\u003e\n \u003cp\u003e3.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e0.168**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8px;\"\u003e\n \u003cp\u003e0.846\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 13px;\"\u003e\n \u003cp\u003eTest value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e18.830****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e8.453****\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e7.378****\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: 8px;\"\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: 13px;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.002*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e0.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e0.194\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: 8px;\"\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: 13px;\"\u003e\n \u003cp\u003eBonferroni\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1 \u0026gt; 4, 1 \u0026gt; 5, 1 \u0026gt; 6\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 22px;\"\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: 8px;\"\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\u003cp\u003e*p \u0026lt; 0.05, **One-way analysis of variance, ***Kruskal\u0026ndash;Wallis test, ****Friedman test, median (med). Group 1: Standard Treatment + Resistance Exercise, Group 2: standard treatment + aerobic exercise training, Group 3: Standard Treatment + Combined Exercise. For descriptive analyses, variables determined by numerical measurement were expressed as arithmetic mean and standard deviation (X \u0026plusmn; SD).\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"bmc-sports-science-medicine-and-rehabilitation","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ssmr","sideBox":"Learn more about [BMC Sports Science, Medicine and Rehabilitation](http://bmcsportsscimedrehabil.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/ssmr/default.aspx","title":"BMC Sports Science, Medicine and Rehabilitation","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Burns, coagulopathy, D-dimer, resistance exercise, aerobifc exercise","lastPublishedDoi":"10.21203/rs.3.rs-6340011/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6340011/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eThis study aimed to compare the effects of different exercise protocols\u0026mdash;resistance, aerobic, and combined resistance-aerobic training\u0026mdash;on coagulation and fibrinolytic activity in major burns.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThis prospective, randomized study included 30 major burn patients who were divided into three intervention groups: resistance exercise (Group 1, n\u0026thinsp;=\u0026thinsp;10), aerobic exercise (Group 2, n\u0026thinsp;=\u0026thinsp;10), and combined resistance-aerobic exercise (Group 3, n\u0026thinsp;=\u0026thinsp;10). Each group underwent a six-week supervised exercise program in addition to standard medical treatment. Coagulation and fibrinolytic markers were measured at baseline and weekly. Statistical analyses were conducted using Shapiro\u0026ndash;Wilk test for normality, one-way ANOVA or Kruskal\u0026ndash;Wallis for between-group comparisons, and Friedman/BONFERRONI post-hoc analysis for within-group comparisons.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe D-dimer and ferritin levels significantly decreased in Group 3 compared to baseline and other groups (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). While fibrinogen levels remained stable in Group 3, Groups 1 and 2 showed a significant decline over time (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). No significant intergroup differences were observed in PT and APTT values (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05), indicating that none of the interventions induced abnormal coagulation.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eExercise interventions, particularly combined resistance and aerobic training, appear to positively influence coagulation and fibrinolysis in burn patients. These findings suggest that an integrated exercise regimen may support recovery by modulating hypercoagulability and systemic inflammation. Further large-scale studies are warranted to confirm these results and to assess the long-term effects of exercise on coagulation dynamics in burn rehabilitation.\u003c/p\u003e\u003ch2\u003eTrial registration:\u003c/h2\u003e \u003cp\u003eTrial registration date: 17/04/2022, trial registration number: NCT05341674 \u0026ldquo;Prospectively registered\u0026rdquo;.\u003c/p\u003e","manuscriptTitle":"Effects Of Aerobic, Resistance, And Combined Exercise Training on Coagulation and Fibrinolytic Activity in Major Burns: A Preliminary Randomized Trial","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-08 14:49:49","doi":"10.21203/rs.3.rs-6340011/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2025-05-26T12:00:57+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"118780631173714316447673512683690330535","date":"2025-05-20T09:44:40+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"114534176833076156505073436309016876210","date":"2025-05-06T10:04:15+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"241966368321876379952303488632325865142","date":"2025-05-05T18:49:45+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-05-05T13:15:41+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-04-29T13:45:40+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-04-08T08:49:43+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-04-08T07:27:07+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Sports Science, Medicine and Rehabilitation","date":"2025-04-08T07:25:57+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-sports-science-medicine-and-rehabilitation","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ssmr","sideBox":"Learn more about [BMC Sports Science, Medicine and Rehabilitation](http://bmcsportsscimedrehabil.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/ssmr/default.aspx","title":"BMC Sports Science, Medicine and Rehabilitation","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a91a0493-1496-4628-9b37-1609544de618","owner":[],"postedDate":"May 8th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-05-08T14:49:49+00:00","versionOfRecord":[],"versionCreatedAt":"2025-05-08 14:49:49","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6340011","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6340011","identity":"rs-6340011","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}