Association Between Maternal Weight Gain in Different Periods of Pregnancy and the Risk of Venous Thromboembolism: A Retrospective Matched Case-Control Study

Association Between Maternal Weight Gain in Different Periods of Pregnancy and the Risk of Venous Thromboembolism: A Retrospective Matched Case-Control Study | 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 Association Between Maternal Weight Gain in Different Periods of Pregnancy and the Risk of Venous Thromboembolism: A Retrospective Matched Case-Control Study Yuelin Wu, Jindan Pei, Lingling Dong, Zheying Zhou, Tianfan Zhou, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1133612/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Although the rate of maternal mortality has declined over the past few decades, pulmonary embolus (PE) remains an important cause of maternal deaths. Little is known about the associations of specific periods of gestational weight gain with detailed PE and deep venous thrombosis (DVT). We explored the incidence of pregnancy-related venous thromboembolism (VTE) in China and assessed the associations of maternal weight gain in different periods of pregnancy with VTE. Methods In a retrospective case-control study conducted in in Shanghai First Maternity and Infant Hospital from January 1 st , 2017 to July 31 th , 2021, 151 cases (11.7 per 10000) of venous thromboembolism (VTE) within pregnancy or the first 6 postnatal weeks were identified. 302 controls without VTE who gave birth at the same time as the cases were selected. Maternal pre-pregnancy weight, weight in early, mid and late pregnancy and other maternal pregnancy and newborn characteristics were obtained. GWG was standardized into gestational age-specific z-scores stratified by body mass index (BMI) and categorized as low (z score 1). The adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated through log-binomial regression models. Interaction effects between gestational weight gain (GWG) and some other adjustment factors were tested, further stratified analyses were performed separately where interaction terms were significant. Results There were 65.6% (99 of 151) of pulmonary embolus (PE) alone and 34.4% (52 of 151) of deep venous thrombosis (DVT) alone or combined with PE. For all pre-pregnancy BMI categories (underweight, normal weight, overweight and obese), there was no statistical association between maternal weight gain of all gestational intervals and DVT or all VTE in this study. However, for PE, there was observed protective effects of low weight gain (aOR 0.79; 95% CI 0.37–1.68) and significantly increased risks of high weight gain (aOR=1.47; 95% CI: 1.03-2.09) among normal-weight women in early pregnancy. Similarly, a tendency towards decreased risk at lower weight gain throughout pregnancy (aOR 0.79; 95% CI 0.37–1.68) and significantly increased risk at higher values (aOR=1.52; 95% CI: 1.01-2.31) for PE was observed in normal-weight women. As for underweight and overweight women, results from the categorical model for early, late or total pregnancy weight gain indicated an increased risk in PE at both low and high weight gain, but confidence intervals were wide. Conclusion Chinese women have a higher risk of PE than the foreigner counterparts. Maternal weight gain in total or early pregnancy is an important risk factor for PE. In order to effectively improve maternal and child outcomes, intensive weight management that continues through pregnancy may be indispensable. Maternal & Fetal Medicine Venous thromboembolic disease pulmonary embolus gestational weight gain pregnancy outcomes z-scores Figures Figure 1 Introduction Deep vein thrombosis (DVT) and pulmonary embolism (PE) are collectively referred to as venous thromboembolic disease (VTE). Although the rate of maternal mortality has declined over the past few decades, PE remains an important cause of maternal deaths [1,2] . During pregnancy, a women’s risk of VTE is increased by 6 times, with reported incidence ranging from 0.5 to 2.0 per 1000 deliveries [3,4] . Approximately 75–80% of cases of pregnancy-associated VTE are caused by DVT, and 20–25% of cases are caused by PE [5] . However, few studies have examined trends in the incidence of pregnancy-related VTE in China. Several studies have already identified risk factors for pregnancy-related VTE, including advanced maternal age, greater body mass index (BMI), cesarean delivery, preeclampsia, postpartum hemorrhage and newborns with low birth weight [1,6-11] . They help care providers to target the use of thromboprophylaxis to women at risk to maximize its benefit [12] . However, few studies have evaluated gestational weight gain (GWG) as a risk factor for VTE [13] . Although insufficient and excessive maternal weight gain has been linked with increased risks of VTE [13] , they have often not accounted for the effects of weight gain during certain periods of pregnancy. Furthermore, the associations of specific periods of GWG with detailed PE and DVT has not been reported. In addition, few studies have examined trends in the incidence of pregnancy-related VTE in China, and these studies have shown variable results [14,15] . For this retrospective case–control study of women, our objective was to explore the incidence of pregnancy-related VTE in China, and evaluate the association of maternal weight gain in different periods of pregnancy with detailed pulmonary embolism (PE) and deep vein thrombosis (DVT). Materials And Methods Study design We performed a retrospective case–control study, using data on all prenatal visit and discharges from Shanghai First Maternity and Infant Hospital for the period of January 1 st , 2017 to July 31 th , 2021 to evaluate the effect of maternal weight gain in different periods of pregnancy on VTE at any site. Written informed consent was obtained from the participants. The data including maternal demographical characteristics, reproductive history, as well as clinical information related to this pregnancy were collected. This study was approved by Ethics Committee of Shanghai First Maternity and Infant Hospital (reference number: KS2057). Study population Women with a diagnosis of DVT or PE, which combined VTE in pregnancy or in the first 6 postnatal weeks were identified by search for selected ICD-9 or 10 codes in the Hospital Information System. 192 women were registered with a diagnosis of VTE in 129443 pregnancies. We excluded 3 cases wrongly diagnosed with VTE in index and subsequent pregnancies, 3 cases with thrombotic events in association with miscarriage, induced abortion, or ectopic pregnancy terminated before gestational week 28. In addition, we excluded possible cases with a diagnosis of amniotic fluid embolism (n=7). Further exclusions were applied to women who started antenatal care after 18 week’s gestation (n=2) and women with missing data for pre-pregnancy, delivery weight and height information (n=26). Finally, we excluded 3 cases with server heart/liver/kidney disease, malignancy or history of VTE. The eligible case population comprised 151 women (Figure 1). The Hospital Information System selected first two women without VTE in pregnancy or the first 6 weeks following delivery, who gave birth at Shanghai First Maternity and Infant Hospital at the same time as the case, as possible controls. If these women did not meet the criterions above, we included the 3rd or 4th selection as controls. In total 302 controls were identified. Weight measurements Gestational age was estimated based on the date of last menstruation period and confirmed by first trimester ultrasound date. Pre-pregnancy weight (kg) was based on self-reporting, while weight at every prenatal visit and at delivery was routinely measured to the nearest 0.1 kg using the available electronic weighing device in the prenatal care clinics. Height (cm) at the first prenatal visit was routinely measured to the nearest 0.1 cm using the available electronic stadiometer in the hospital. Pre-pregnancy body mass index (BMI; kg/m 2 ) was calculated as pre-pregnancy weight (kg) divided by height (m) 2 and categorized as underweight (<18.5 kg/m 2 ), normal weight (18.5 to 24.9 kg/m 2 ), overweight (25.0 to 29.9 kg/m 2 ), and obese (≥ 30.0 kg/m 2 ) [16] . However, due to the sporadic number of obese women, we analyze them together with overweight women in this study. We defined the following 3 gestational intervals: ≤14, 24 to 28, >28 weeks. If a woman had more than 1 antenatal visit within an interval, we took her last weight measurements for that interval. GWG in early pregnancy was calculated as the antenatal weight up to ≤14 weeks minus the pre-pregnancy weight; GWG in mid pregnancy was calculated as the weight measured in 24 to 28 weeks’ intervals minus the last weight measured ≤14 week, and late pregnancy as last measurement of weight prior to delivery minus the weight measured in 24 to 28 weeks’ intervals. Total GWG was calculated as last measurement of weight before delivery minus pre-pregnancy weight. All GWG values were standardized into z-scores by gestational age, stratified by BMI categories. The means and standard deviations (SD) of GWGs in early, mid, late and whole pregnancy were used to convert the GWG values into z-scores. All GWG z-scores were first examined as continuous variables, and then categorized as +1.0 (above) in data analyses. Exposure and other variables Maternal demographics and lifestyle characteristics included maternal age (≥35 years or no), parity (0 or no), education (university degree and above or no), ART (intrauterine insemination (IUI); IUI with ovulation induction but without in-vitro fertilization (IVF); IVF; IVF with intracytoplasmic sperm injection (ICSI); ovulation induction without IVF and vaginal insemination), pre-pregnancy body mass index (BMI) categories (underweight, normal, overweight/obese). Maternal pregnancy characteristics and complications included gestational age at delivery, delivery mode (vaginal delivery, either spontaneous or by vacuum extraction or forceps, and cesarean section, either planned or by emergency), multiple pregnancy, gestational diabetes mellitus (GDM), pregnancy induced hypertension (PIH), hypothyroidism, preterm birth (500 mL after vaginal delivery, blood loss >1000 mL after cesarean delivery), premature rupture of membranes, ischemic placental diseases (composite of preeclampsia, intrauterine growth retardation (IUGR), placental abruption and stillbirth), placenta previa, abruptio placentae and postpartum transfusion. Newborn characteristics included fetal sex, birthweight, small for gestational age (SGA) ≤10 th , large for gestational age (LGA) ≥90 th according to Chinese sex- and gestational age-specific birth weight standards [17] , macrosomia (>4000 g), low birthweight (<2500 g), very low birthweight (12 mg/dL). Statistical analyses Maternal demographic characteristics and clinical factors were compared between venous thrombosis cases and control groups. Continuous variables were described by mean with standard deviation (SD) or median with interquartile range (IQR). Categorical variables were described by frequencies (%). Analysis of variance or Kruskal-Wallis H tests were performed for continuous data, and chi-square tests or Fisher’s exact tests were performed for categorical data. Multivariate log-binomial regression models were used to estimate the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for separately PE alone, DVT (including DVT and concomitant PE) and all VTE events across GWG in different periods of pregnancy. Regression model were adjusted for only co-variables with p <0.2 (maternal age, parity, ART, delivery mode, fetal number, birthweight, PIH, GDM and postpartum hemorrhage). Interaction effects between GWG and other covariates (parity, birthweight, maternal age and delivery mode) on venous thrombosis were also tested. All analyses were performed using the Statistical Analysis System (SAS) for Windows, version 9.4 (SAS Institute, Cary, NC). P<0.05 was considered statistically significant. Results Study population and characteristics A total of 129443 women gave birth in Shanghai First Maternity and Infant Hospital between January 1 st , 2017 and July 31 th , 2021 and 151 (11.7 per 10000) women experienced VTE in pregnancy or in the first 6 postnatal weeks. Of these, 65.6% (99 of 151) was PE alone and 34.4% (52 of 151) was DVT alone or combined with PE. 302 women who did not experience a VTE were selected as control. The prevalence of known risk factors for VTE was significantly higher in cases than controls (Table 1). In particular, cases were more likely to be of advanced age (23.2% versus 14.3%), to be overweight or obese (19.3% versus 11.0%), to have multiple birth (6.6% versus 2.7%), pregnancy-induced hypertension (PIH) (17.9% versus 6.0%), hypothyroidism (9.3% versus 3.7%), preterm birth (17.3% versus 5.0%), postpartum hemorrhage (14.6% versus 5.0%), abruptio placentae (4.0% versus 1.0%), ischemic placental diseases (26.5% versus 12.0%), delivery via cesarean delivery (81.5% versus 46.3%), newborns with low birth weight (15.2% versus 4.3%) and respiratory distress syndrome (6.6% versus 1.7%). Total Weight gain during pregnancy In normal-weight women, total GWG was 14.6±4.7 kg for PE, 12.3±4.2 kg for DVT, 13.9±4.7 kg for all VTE and 13.2±4.3 kg for control (Table S1), and did significantly differ between PE and control group (adjusted estimated mean difference combined 0.06 kg, 95% CI 0.01-0.13 kg) (Table 2). A tendency towards decreased risk at lower total weight gain (aOR 0.85; 95% CI 0.43–1.69) and significantly increased risk at higher values (aOR=1.52; 95% CI: 1.01-2.31) for PE was observed in normal-weight women, whereas there was no clear association between total weight gain and DVT or all VTE. As for underweight and overweight women, results from the categorical model for total weight gain indicated an increased risk at both low (aOR 1.85; 95% CI 0.28–12.08 and aOR 1.23; 95% CI 0.46–3.27, respectively) and high weight gain (aOR 2.31; 95% CI 0.44–12.16 and aOR 2.13; 95% CI 0.67–6.79, respectively), but confidence intervals were wide. In addition, total GWG was not significantly associated with DVT or all VTE (Table 3). Weight gain during early pregnancy The pattern for early pregnancy weight gain showed similar results as those in total pregnancy: In normal-weight women, early GWG was 1.5±2.7 kg for PE, 0.7±1.6 kg for DVT, 1.3±2.4 kg for all VTE and 0.6±2.3 kg for control (Table S1), and did significantly differ between PE or all VTE and control group (adjusted estimated mean difference combined 0.03 kg, 95% CI 0-0.10 kg, p=0.0087 and 0.02 kg, 95% CI 0-0.08 kg, p=0.0235, respectively) (Table 2). There was observed protective effects of low weight gain (aOR 0.79; 95% CI 0.37–1.68) and significantly increased risks of high weight gain (aOR=1.47; 95% CI: 1.03-2.09) for PE in normal-weight women. As for underweight women, weight gain above average was associated with an increased risk of PE (aOR=2.50; 95% CI: 0.29-21.40), so was for overweight and obese women (aOR=2.13; 95% CI: 0.52-8.79), but estimates were not statistically significant. In contrast, associations of weight gain above or below average with DVT or all VTE were not significant, included the null (Table 4). Weight gain during mid and late pregnancy The associations of higher GWG with PE for normal-weight women attenuated towards non-significant in mid and late pregnancy. Similarly, within the range of mid and late weight gain, no significant associations between maternal GWG and increased risk for DVT or all VTE were present, regardless of maternal BMI (Table 5 and 6). Discussion Main Findings In this study, we found different associations of gestational stage-specific weight gain with venous thrombosis. Of those, higher GWG in total or early pregnancy was associated with higher risks of PE in normal-weight women. As for underweight and overweight women, results from the categorical model for early or total pregnancy weight gain indicated an increased risk at both low and high weight gain for PE, but confidence intervals were wide. Strengths and limitations There are strengths in our study. Due to the detailed clinical data, such as pre-pregnancy weight, weight measurements at every prenatal visit and weight measurements before delivery beyond the registry, it was possible for us to study both weight gain in different periods of pregnancy and to take the differences in types of VTE (eg, DVT as well as PE) into account. Moreover, use of weight gain z-scores instead of weight gain in kilograms helped to disentangle the effects of pregnancy weight gain on VTE from the effects of gestational duration, because GWG is highly correlated to the gestational duration. Our cohort study extends previous studies by accounting for effect modification by pre-pregnancy BMI and using a gestational age-independent measure of pregnancy weight gain. There are also limitations in our study. The number of VTE was decreased when stratified by BMI-categories, especially among obese women. For this reason, we analyze the effect of weight gain during pregnancy on VTE in obese together with overweight women. Furthermore, the incidence of VTE might be underestimated in this study, since women who have high risks of VTE during pregnancy typically receive low-molecular-weight heparin (LMWH) and are often not switched to VTE in the postpartum period, which is inevitable. Interpretation GWG has been associated with subsequent risks of adverse pregnancy outcomes, such as preterm birth, pre-eclampsia and caesarean section, has been suggested [18,19] , but evidence to clarify the relationship between gestational weight gain and maternal VTE have been sporadic [13,20] . A Norwegian hospital-case control study reported that large weight gains (>p90 or >21.0kg) were associated with 60% increased odds of postpartum VTE, while small maternal weight gain is an independent antenatal risk factor for VTE [13] . In a Washington State, USA population-based, case-control study, women with large weight gains during pregnancy (>22kg), independently of BMI, were more likely to have VTE (1.5, 95%CI 1.2-2.1) [20] . In line with these studies, we observed that higher GWG in whole pregnancy was associated with higher risk of PE. Over weight gain during pregnancy accompanied with increased intraabdominal pressure can encourage blood stasis through iliac vessels compression. Furthermore, elevated inflammatory cytokines and adipokines with increased fat deposition promote endothelial dysfunction and platelet hyperreactivity. Fat deposition also skews the hemostatic-fibrinolytic balance through elevation of procoagulant factors including von Willebrand factor, fibrinogen, factor VII, factor VIII, issue factor, and impairment of fibrinolysis by elevation of plasminogen activator inhibitor [21] . On top of differential inflammatory responses, women with high weight have longer durations of labor, greater rates of chorioamnionitis, postpartum hemorrhage and surgical complications, which may all lead to the observed greater risk of VTE after delivery [22] . There is growing recognition that the impacts of gestational stage-specific weight gain on pregnancy outcomes may vary [23-27] . GWG in early pregnancy largely reflects maternal fat deposition, whereas GWG in mid and late pregnancy is also attributed to maternal and amniotic fluid expansion, and growth of the fetus, placenta and uterus [28] . In this study, we found that higher GWG in early pregnancy was associated with higher risks of PE in normal-weight women. As for underweight and overweight women, results from the categorical model for early pregnancy weight gain indicated an increased risk at both low and high weight gain for PE. Studies have found that mothers with increased fat deposition during early pregnancy may involve the multifactorial engagement of alterations to blood flow, hypercoagulability, chronic low-grade inflammation and endothelial dysfunction, which may lead to PE [21,29] . Therefore, GWG in early pregnancy, prior to the development of pregnancy outcomes, might be as or more important than GWG in late pregnancy with respect to pregnancy outcomes. GWG below average in overweight and obese mothers were also at an increased risk of PE in our analysis. This finding, if true, could result from low amniotic fluid volume and fetal weight by ischemic placental disease (including preeclampsia, intrauterine growth retardation, stillbirth, and placental abruption), perhaps a potential for embolism, leading to PE [1] . Blondon et al found that the delivery of a newborn with low birth weight is associated with a 3-fold increased risk of maternal postpartum VTE [1] . In another Norwegian hospital-based, case–control study, mothers of newborns with IUGR were at 3.8-fold risk of postpartum VTE [13] . Moreover, hypertension during pregnancy and preeclampsia are also associated with an increased VTE risk during pregnancy and postpartum period [9,30] . However, a randomized clinical trial indicated that pre-pregnancy weight loss intervention has favorable effects on the early intrauterine environment [31] . Lifestyle intervention during pregnancy could to some extent limit GWG and improve maternal and infant health [32] . Therefore, pre-pregnancy weight interventions integrated into intensive weight management that continues through pregnancy may be indispensable to decrease the risks of PE. There was no statistical association between maternal weight gain and DVT or all VTE across all BMI categories. Similarly, Matthew et al retrospectively analyzed a large database from American found that only the risk of PE is elevated in patient classification as heavier categories after surgery, whereas there was no positive association between DVT and BMI [33,34] . Explanations for this observed association exist, of which anticoagulation used for VTE prophylaxis during pregnancy is most plausible. All pregnant women in Shanghai are managed based on RCOG Green-top Guidelines [35] and Quensland Clinical Guidelines [36,37] . Briefly, they will undergo a documented assessment of risk factors for VTE throughout pregnancy, intrapartum and the puerperium. Any woman with risk factors shown in Table S2 should be considered for prophylactic low-molecular-weight heparin (LMWH). Previous studies have evaluated the efficacy of LMWH for thromboprophylaxis, revealed that LMWH probably results in little to no difference in the incidence of PE in patients undergoing knee arthroscopy, but reduce the risk of asymptomatic DVT [38] . Similarly, eight RCTs showed no clear differences between the LMWH and no prophylaxis or placebo groups in patients with lower-limb immobilization for PE, but less DVT in the LMWH groups [39] . Therefore, aggressive pharmacologic anticoagulation regimens during pregnancy can decrease the DVT rate but have not been shown to affect the rate of PE. Meanwhile, common risk factors for DVT, like history of multiple deliveries, smoking, and obesity are less frequently observed in China [15,40] . These may be the reasons for the higher incidence of PE in this study. However, the evidence is very uncertain, and further high-quality very large-scale randomized trials are needed to determine effects of currently used treatments in women with different VTE risk factors. Conclusion The GWG associations with venous thrombosis differ at different periods of pregnancy. Of those, maternal weight gain in total or early pregnancy is an important risk factor for PE. In order to effectively improve maternal and child outcomes, pre-pregnancy weight interventions integrated into intensive weight management that continues through pregnancy may be indispensable. Abbreviations VTE: Venous thromboembolism; DVT: Deep venous thrombosis; PE: Pulmonary embolus; GWG: Gestational weight gain; BMI: body mass index; SD: Standard deviations; ART: Assisted reproductive technology; IUI: Intrauterine insemination; IVF: in-vitro fertilization; ICSI: Intracytoplasmic sperm injection; GDM: Gestational diabetes mellitus; PIH: Pregnancy induced hypertension; aORs: Adjusted odds ratios; Cis: Confidence intervals; IUGR: Intrauterine growth retardation; SGA: Small for gestational age; LGA: Large for gestational age; IQR: Interquartile range; SAS: Statistical Analysis System; LMWH: Low-molecular-weight heparin. Declarations Acknowledgements We thank the study participants for permitting us to use their personal data. Authors’ contributions YW, JP and LD participated in interpretation of data and involved in drafting the manuscript. ZZ, TZ, XZ, ZH and RC analyzed the data and critically revised the manuscript. XH made substantial contributions to conception and design, interpreted the data and critically revised the manuscript. All authors read and approved the final manuscript. Funding This research was supported by the Shanghai Municipal Commission of Health and Family Planning (202040128), and Natural science foundation of Pudong Municipal Health Commission of Shanghai (PW2019D-13). Availability of data and materials The data that support the findings of this study are available from the corresponding author upon reasonable request. Ethics approval and consent to participate This study was approved by Ethics Committee of Shanghai First Maternity and Infant Hospital (reference number: KS2057). Consent for publication Not applicable. Competing interest The authors declare that they have no known competing financial interests or personal relationships that may have influenced the work reported in this paper. Author details 1 Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. 2 Obstetrics Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China References Blondon M, Quon BS, Harrington LB, et al. Association between newborn birth weight and the risk of postpartum maternal venous thromboembolism: a population-based case-control study. Circulation. 2015 , 131 . 17, 1471-1476; discussion 1476. Ghaji N, Boulet SL, Tepper N, et al. Trends in venous thromboembolism among pregnancy-related hospitalizations, United States, 1994-2009. Am J Obstet Gynecol. 2013 , 209 . 5, 433 e431-438. Nichols KM, Henkin S, Creager MA. Venous Thromboembolism Associated With Pregnancy: JACC Focus Seminar. J Am Coll Cardiol. 2020 , 76 . 18, 2128-2141. Parunov LA, Soshitova NP, Ovanesov MV, et al. 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Gynaecologists RCoO. Reducing the Risk of Venous Thromboembolism during Pregnancy and the Puerperium. Green-top Guideline No. 37a. 2015 . Guidelines QC. Guideline supplement: Venous thromboembolism (VTE) in pregnancy and the puerperium. 2020 . Expert consensus on prevention and treatment of obstetric venous thromboembolism in Shanghai. Shanghai Med J. 2020 , 43, No.11 . Perrotta C, Chahla J, Badariotti G, et al. Interventions for preventing venous thromboembolism in adults undergoing knee arthroscopy. Cochrane Database Syst Rev. 2020 , 5 . CD005259. Zee AA, van Lieshout K, van der Heide M, et al. Low molecular weight heparin for prevention of venous thromboembolism in patients with lower-limb immobilization. Cochrane Database Syst Rev. 2017 , 8 . CD006681. Gerhardt A, Scharf RE, Greer IA, et al. Hereditary risk factors for thrombophilia and probability of venous thromboembolism during pregnancy and the puerperium. Blood. 2016 , 128 . 19, 2343-2349. Tables Table 1. Characteristics of cases and controls. Characteristic Controls （ n=302 ） Cases （ n=151 ） P value Maternal age(y) 30.8±6.0 32.1±4.3 <0.0001 Maternal age ≥35 years, n (%) 43 (14.3) 35 (23.2) 0.0184 Nulliparous, n (%) 212 (70.9) 112 (74.2) 0.4658 Education, university degree and above, n (%) 276 (91.4) 136 (90.1) 0.6728 ART, n (%) 36（12.0） 4（2.7） 0.0010 Pre-pregnancy BMI (kg/m 2 ), mean±SD 21.6±2.8 22.0±3.0 0.3725 Pre-pregnancy BMI categories, n (%) Underweight (< 18.5 kg/m2) 31 (10.3) 9 (6.0) 0.0074 Normal weight (18.5-24.9 kg/m2) 237 (78.7) 112 (74.7) Overweight and obese (≥ 25 kg/m2) 33 (11.0) 29 (19.3) Gestational age at delivery (week), median (IQR) 39 (38, 40) 38 (37, 39) <0.0001 Mode of delivery Spontaneous labor 161（53.6） 28（18.5） <0.0001 Caserean section 139（46.3） 123 (81.5) Multiple pregnancy 9（2.7） 10（6.6） 0.0284 Pregnancy complications GDM 30（10.0） 19（12.6） 0.3993 PIH 18（6.0） 27（17.9） <0.0001 Hypothyroidism 11（3.7） 14（9.3） 0.0138 Preterm birth 15 (5.0) 26 (17.3) <0.0001 Postpartum hemorrhage 15（5.0） 22（14.6） 0.0005 Ischemic placental diseases 36（12.0） 40（26.5） <0.0001 Premature rupture of membranes 55 (18.3) 31 (20.5) 0.5646 Placenta previa 3 (1.0) 4 (2.7) 0.1801 Abruptio placentae 3 (1.0) 6 (4.0) 0.0328 Postpartum transfusion 6（2.0） 5（3.3） 0.3916 Infant Gender (female) 153 (50.8) 87 (57.6) 0.1732 Birth Weight (gm) (Mean±SD) 3246±449 3168±663 4000 g) 11（3.7） 8（5.3） 0.4120 Low birthweight (<2500 g) 13（4.3） 23（15.2） <0.0001 Very low birthweight (<2500 g) 2（0.7） 4（3.3） 0.0824 Sentinel congenital anomalies 7（2.3） 6（4.0） 0.3233 Hyperbilirubinemia 32（10.6） 24（15.9） 0.1096 Respiratory distress syndrome 5（1.7） 10（6.6） 0.0055 Abbreviations: BMI: body mass index; GDM: gestational diabetes mellitus; PIH: pregnancy induced hypertension; SGA: small for gestational age; LGA: large for gestational age; IQR: median with interquartile range. Table 2. Absolute effect size of gestational weight gain at different periods of pregnancy. PE Adjusted effect size (95% CI) (n=99) P value DVT with PE or without PE Adjusted effect size (95% CI) (n=52) P value All VTE Adjusted effect size (95% CI) (n=151) P value Total GWG in pregnancy by BMI categories Underweight (< 18.5 kg/m2) -0.04 (0, 0.26) 0.2645 0.31 (0, 0.57) * 0.0063 0.03 (0, 0.31) 0.0516 Normal weight (18.5-24.9 kg/m2) 0.06 (0.01, 0.13) * 0.0149 0.05 (0.01, 0.12) 0.2752 0.05 (0.01, 0.11) 0.1191 Overweight and obese (≥ 25 kg/m2) 0.06 (0, 0.31) 0.7018 0.02 (0, 0.27) 0.4258 0.07 (0, 0.27) 0.6870 GWG in early pregnancy by BMI categories Underweight (< 18.5 kg/m2) 0.30 (0, 0.59) 0.0542 0.33 (0, 0.63) 0.0596 0.29 (0, 0.59) 0.0542 Normal weight (18.5-24.9 kg/m2) 0.03 (0, 0.10) * 0.0087 -0.01 (0, 0.04) 0.7320 0.02 (0, 0.08) * 0.0235 Overweight and obese (≥ 25 kg/m2) -0.05 (0, 0.27) 0.4264 -0.08 (0, 0.24) 0.1886 0.01 (0, 0.26) 0.1424 GWG in mid pregnancy by BMI categories Underweight (< 18.5 kg/m2) 0.09 (0, 0.46) 0.3084 0.01 (0, 0.41) 0.0797 0.14 (0, 0.50) * 0.0065 Normal weight (18.5-24.9 kg/m2) 0.00 (0, 0.06) 0.4225 0.00 (0, 0.07) 0.3731 0.01 (0, 0.07) 02473 Overweight and obese (≥ 25 kg/m2) 0.15 (0, 0.44) 0.1499 -0.02 (0, 0.31) 0.5082 0.11 (0, 0.37) 0.1470 GWG in late pregnancy by BMI categories Underweight (< 18.5 kg/m2) -0.06 (0, 0.23) 0.3860 -0.02 (0, 0.31) 0.1161 -0.07 (0, 0.21) 0.6476 Normal weight (18.5-24.9 kg/m2) 0.03 (0, 0.09) 0.1246 0.05 (0.01, 0.12) * 0.0295 0.03 (0, 0.08) 0.8666 Overweight and obese (≥ 25 kg/m2) -0.04 (0, 0.21) 0.4134 0.05 (0, 0.31) 0.0541 0.01 (0, 0.22) 0.1369 Abbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism. Table 3 . Maternal total pregnancy weight gain by z-score categories with adjusted odds ratios for PE alone, DVT (including DVT and concomitant PE) and all VTE events. BMI category Total Weight Gain Control PE Adjusted odds ratio (95% CI) DVT with PE or without PE Adjusted odds ratio (95% CI) All VTE Adjusted odds ratio (95% CI) z-score category Underweight (< 18.5 kg/m2) ＜-1 4 1 1.85 (0.28, 12.08) 0 NA 1 0.87 (0.55, 1.38) -1 to 1 23 3 Ref 0 Ref 3 Ref ＞1 4 2 2.31 (0.44, 12.16) 2 NA 4 0.66 (0.33, 1.30) Normal weight (18.5-24.9) kg/m2 ＜-1 28 7 0.85 (0.43, 1.69) 9 1.77 (0.92, 3.41) 16 1.00 (0.89, 1.13) -1 to 1 171 48 Ref 20 Ref 68 Ref ＞1 34 19 1.52 (1.01, 2.31) * 4 0.81 (0.30, 2.16) 23 0.97 (0.87, 1.09) Overweight and obese (≥ 25 kg/m2) ＜-1 7 3 1.23 (0.46, 3.27) 3 1.09 (0.44, 2.68) 6 0.98 (0.70, 1.37) -1 to 1 22 8 Ref 9 Ref 17 Ref ＞1 4 4 2.13 (0.67,6.79) 1 0.67 (0.10, 4.43) 5 0.95 (0.70, 1.29) Adjusted maternal age, parity, ART, delivery mode, fetal number, birthweight, gestational age, PIH, GDM and postpartum hemorrhage. Abbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism. Table 4. Maternal early pregnancy weight gain by z-score categories with adjusted odds ratios for PE alone, DVT (including DVT and concomitant PE) and all VTE events. BMI category Early Weight Gain Control PE Adjusted odds ratio (95% CI) DVT with PE or without PE Adjusted odds ratio (95% CI) All VTE Adjusted odds ratio (95% CI) z-score category Underweight (< 18.5 kg/m2) ＜-1 2 0 NA 0 NA 0 NA -1 to 1 18 2 Ref 1 Ref 3 Ref ＞1 3 1 2.50 (0.29, 21.40) 0 NA 1 0.87 (0.43, 1.74) Normal weight (18.5-24.9 kg/m2) ＜-1 19 4 0.79 (0.37, 1.68) 2 0.80 (0.21, 3.01) 6 1.02 (0.85, 1.22) -1 to 1 145 46 Ref 23 Ref 69 Ref ＞1 23 15 1.47 (1.03, 2.09) * 1 0.41 (0.06, 2.91) 16 0.98 (0.85, 1.12) Overweight and obese (≥ 25 kg/m2) ＜-1 2 0 NA 0 NA 0 NA -1 to 1 21 9 Ref 7 Ref 16 Ref ＞1 1 2 2.13 (0.52, 8.79) 3 1.46 (0.46, 4.67) 5 0.78 (0.47, 1.30) *Adjusted maternal age, parity, ART, delivery mode, fetal number, birthweight, gestational age, PIH, GDM and postpartum hemorrhage. Abbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism. Table 5. Maternal mid pregnancy weight gain by z-score categories with adjusted odds ratios for PE alone, DVT (including DVT and concomitant PE) and all VTE events. BMI category Mid Weight Gain Control PE Adjusted odds ratio (95% CI) DVT with PE or without PE Adjusted odds ratio (95% CI) All VTE Adjusted odds ratio (95% CI) z-score category Underweight (< 18.5 kg/m2) ＜-1 3 0 NA 0 NA 0 NA -1 to 1 17 0 Ref 0 Ref 0 Ref ＞1 3 2 NA 1 NA 3 NA Normal weight (18.5-24.9) kg/m2 ＜-1 23 6 1.29 (0.84, 1.98) 3 0.96 (0.31, 3.00) 9 1.00 (0.88, 1.14) -1 to 1 128 46 Ref 19 Ref 65 Ref ＞1 36 10 0.96 (0.56, 1.65) 2 0.44 (0.11, 1.81) 12 1.02 (0.90, 1.16) Overweight and obese (≥ 25 kg/m2) ＜-1 4 1 0.78 (0.30, 3.02) 1 0.88 (0.16, 4.75) 2 1.08 (0.71, 1.63) -1 to 1 16 8 Ref 8 Ref 16 Ref ＞1 4 2 1.44 (0.40, 5.25) 0 NA 2 1.07 (0.70, 1.63) Adjusted maternal age, parity, ART, delivery mode, fetal number, birthweight, gestational age, PIH, GDM and postpartum hemorrhage. Abbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism. Table 6. Maternal late pregnancy weight gain by z-score categories with adjusted odds ratios for PE alone, DVT (including DVT and concomitant PE) and all VTE events. BMI category Late Weight Gain Control PE Adjusted odds ratio (95% CI) DVT with PE or without PE Adjusted odds ratio (95% CI) All VTE Adjusted odds ratio (95% CI) z-score category Underweight (< 18.5 kg/m2) ＜-1 6 1 4.25 (0.83, 21.68) 0 NA 1 0.83 (0.54, 1.28) -1 to 1 19 2 Ref 1 Ref 3 Ref ＞1 6 1 2.13 (0.25, 18.05) 1 2.86 (0.20, 39.83) 2 0.93 (0.64, 1.35) Normal weight (18.5-24.9 kg/m2) ＜-1 37 9 0.86 (0.54, 1.35) 8 1.64 (0.78, 3.45) 17 1.01 (0.90, 1.14) -1 to 1 165 48 Ref 21 Ref 69 Ref ＞1 32 13 1.01 (0.67, 1.52) 4 1.03 (0.38, 2.80) 17 0.99 (0.87, 1.12) Overweight and obese (≥ 25 kg/m2) ＜-1 2 3 2.84 (0.57, 14.13) 2 1.01 (0.35, 2.93) 5 0.79 (0.43, 1.44) -1 to 1 24 8 Ref 10 Ref 18 Ref ＞1 6 2 1.19 (0.36, 3.94) 0 NA 2 1.19 (0.65, 2.18) Adjusted maternal age, parity, ART, delivery mode, fetal number, birthweight, gestational age, PIH, GDM and postpartum hemorrhage. Abbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism. 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07:14:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1133612/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1133612/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":16153075,"identity":"864f8716-eb60-4e0e-a549-6ce8b7904b73","added_by":"auto","created_at":"2021-12-03 17:15:03","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":101323,"visible":true,"origin":"","legend":"Study flow chart.","description":"","filename":"fig1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-1133612/v1/9f66f67fcc996d0c6128c06b.jpg"},{"id":16163371,"identity":"b9986314-13b2-40fc-9c28-136403a082b2","added_by":"auto","created_at":"2021-12-03 22:44:12","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":747258,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1133612/v1/879d8c3e-4675-4956-a1e1-9275f18bf608.pdf"},{"id":16152931,"identity":"a7dea4ce-86e6-4a9f-b669-d4f464a8ccd5","added_by":"auto","created_at":"2021-12-03 17:12:03","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":18492,"visible":true,"origin":"","legend":"","description":"","filename":"TableS09.30.docx","url":"https://assets-eu.researchsquare.com/files/rs-1133612/v1/8a9d77743945d5a208986062.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eAssociation Between Maternal Weight Gain in Different Periods of Pregnancy and the Risk of Venous Thromboembolism: A Retrospective Matched Case-Control Study\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eDeep vein thrombosis (DVT) and pulmonary embolism (PE) are collectively referred to as venous thromboembolic disease (VTE). Although the rate of maternal mortality has declined over the past few decades, PE remains an important cause of maternal deaths\u003csup\u003e[1,2]\u003c/sup\u003e. During pregnancy, a women\u0026rsquo;s risk of VTE is increased by 6 times, with reported incidence ranging from 0.5 to 2.0 per 1000 deliveries\u003csup\u003e[3,4]\u003c/sup\u003e. Approximately 75\u0026ndash;80% of cases of pregnancy-associated VTE are caused by DVT, and 20\u0026ndash;25% of cases are caused by PE\u003csup\u003e[5]\u003c/sup\u003e. However, few studies have examined trends in the incidence of pregnancy-related VTE in China.\u003c/p\u003e\n\u003cp\u003eSeveral studies have already identified risk factors for pregnancy-related VTE, including advanced maternal age, greater body mass index (BMI), cesarean delivery, preeclampsia, postpartum hemorrhage and newborns with low birth weight\u003csup\u003e[1,6-11]\u003c/sup\u003e. They help care providers to target the use of thromboprophylaxis to women at risk to maximize its benefit\u003csup\u003e[12]\u003c/sup\u003e. However, few studies have evaluated gestational weight gain (GWG) as a risk factor for VTE\u003csup\u003e[13]\u003c/sup\u003e. Although insufficient and excessive maternal weight gain has been linked with increased risks of VTE\u003csup\u003e[13]\u003c/sup\u003e, they have often not accounted for the effects of weight gain during certain periods of pregnancy. Furthermore, the associations of specific periods of GWG with detailed PE and DVT has not been reported. In addition, few studies have examined trends in the incidence of pregnancy-related VTE in China, and these studies have shown variable results\u003csup\u003e[14,15]\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eFor this retrospective case\u0026ndash;control study of women, our objective was to explore the incidence of pregnancy-related VTE in China, and evaluate the association of maternal weight gain in different periods of pregnancy with detailed pulmonary embolism (PE) and deep vein thrombosis (DVT).\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStudy design\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe performed a retrospective case\u0026ndash;control study, using data on all prenatal visit and discharges from Shanghai First Maternity and Infant Hospital for the period of January 1\u003csup\u003est\u003c/sup\u003e, 2017 to July 31\u003csup\u003eth\u003c/sup\u003e, 2021 to evaluate the effect of maternal weight gain in different periods of pregnancy on VTE at any site. Written informed consent was obtained from the participants. The data including maternal demographical characteristics, reproductive history, as well as clinical information related to this pregnancy were collected. This study was approved by Ethics Committee of Shanghai First Maternity and Infant Hospital (reference number: KS2057).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStudy population\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWomen with a diagnosis of\u0026nbsp;DVT or PE, which combined VTE in pregnancy or in the first 6 postnatal weeks were identified by search for selected ICD-9 or 10 codes in the Hospital Information System. 192 women were registered with a diagnosis of VTE in 129443 pregnancies. We excluded 3 cases wrongly diagnosed with VTE in index and subsequent pregnancies, 3 cases with thrombotic events in association with miscarriage, induced abortion, or ectopic pregnancy terminated before gestational week 28. In addition, we excluded possible cases with a diagnosis of amniotic fluid embolism (n=7). Further exclusions were applied to women\u0026nbsp;who\u0026nbsp;started antenatal care after 18 week\u0026rsquo;s gestation (n=2)\u0026nbsp;and women with missing data for pre-pregnancy, delivery weight and height information (n=26). Finally, we excluded 3 cases with server heart/liver/kidney disease, malignancy or history of VTE. The eligible case population comprised 151 women (Figure 1).\u003c/p\u003e\n\u003cp\u003eThe Hospital Information System selected first two women without VTE in pregnancy or the first 6 weeks following delivery, who gave birth at Shanghai First Maternity and Infant Hospital at the same time as the case, as possible controls. If these women did not meet the criterions above, we included the 3rd or 4th selection as controls. In total 302 controls were identified.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eWeight measurements\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eGestational age was estimated based on the date of last menstruation period and confirmed by first trimester ultrasound date.\u0026nbsp;Pre-pregnancy weight (kg) was based on self-reporting, while weight at every prenatal visit and at delivery was routinely measured to the nearest 0.1 kg using the available electronic weighing device in the prenatal care clinics. Height (cm) at the first prenatal visit was routinely measured to the nearest 0.1 cm using the available electronic stadiometer in the hospital. Pre-pregnancy body mass index (BMI; kg/m\u003csup\u003e2\u003c/sup\u003e) was calculated as pre-pregnancy weight (kg) divided by height (m)\u003csup\u003e2\u003c/sup\u003e and categorized as underweight (\u0026lt;18.5 kg/m\u003csup\u003e2\u003c/sup\u003e), normal weight (18.5 to 24.9 kg/m\u003csup\u003e2\u003c/sup\u003e), overweight (25.0 to 29.9 kg/m\u003csup\u003e2\u003c/sup\u003e), and obese (\u0026ge;\u0026nbsp;30.0 kg/m\u003csup\u003e2\u003c/sup\u003e)\u003csup\u003e[16]\u003c/sup\u003e. However, due to the sporadic number of obese women, we analyze them together with overweight women in this study.\u003c/p\u003e\n\u003cp\u003eWe defined the following 3 gestational intervals: \u0026le;14, 24 to 28, \u0026gt;28 weeks. If a woman had more than 1 antenatal visit within an interval, we took her last weight measurements for that interval. GWG in early pregnancy was calculated as the antenatal weight up to \u0026le;14 weeks minus the pre-pregnancy weight; GWG in mid pregnancy was calculated as the weight measured in 24 to 28 weeks\u0026rsquo; intervals minus the last weight measured \u0026le;14 week, and late pregnancy as last measurement of weight prior to delivery minus the weight measured in 24 to 28 weeks\u0026rsquo; intervals. Total GWG was calculated as last measurement of weight before delivery minus pre-pregnancy weight. All GWG values were standardized into z-scores by gestational age, stratified by BMI categories. The means and standard deviations (SD) of GWGs in early, mid, late and whole pregnancy were used to convert the GWG values into z-scores. All GWG z-scores were first examined as continuous variables, and then categorized as \u0026lt; -1.0 (below), -1.0 to +1.0 (average) and \u0026gt; +1.0 (above) in data analyses.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eExposure and other variables\u003c/em\u003e\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMaternal demographics and lifestyle characteristics included maternal age (\u0026ge;35 years or no), parity (0 or no), education (university degree and above or no), ART (intrauterine insemination (IUI); IUI with ovulation induction but without in-vitro fertilization (IVF); IVF; IVF with intracytoplasmic sperm injection (ICSI); ovulation induction without IVF and vaginal insemination), pre-pregnancy body mass index (BMI) categories (underweight, normal, overweight/obese).\u003c/p\u003e\n\u003cp\u003eMaternal pregnancy characteristics and complications included gestational age at delivery, delivery mode (vaginal delivery, either spontaneous or by vacuum extraction or forceps, and cesarean section, either planned or by emergency), multiple pregnancy, gestational diabetes mellitus (GDM), pregnancy induced hypertension (PIH), hypothyroidism, preterm birth (\u0026lt;37 week), postpartum hemorrhage (\u0026gt;500 mL after vaginal delivery, blood loss \u0026gt;1000 mL after cesarean delivery), premature rupture of membranes, ischemic placental diseases (composite of preeclampsia, intrauterine growth retardation (IUGR), placental abruption and stillbirth), placenta previa, abruptio placentae and postpartum transfusion.\u003c/p\u003e\n\u003cp\u003eNewborn characteristics included\u0026nbsp;fetal sex, birthweight, small for gestational age (SGA) \u0026le;10\u003csup\u003eth\u003c/sup\u003e, large for gestational age (LGA) \u0026ge;90\u003csup\u003eth\u003c/sup\u003e according to Chinese sex- and gestational age-specific birth weight standards\u003csup\u003e[17]\u003c/sup\u003e, macrosomia (\u0026gt;4000 g), low birthweight (\u0026lt;2500 g), very low birthweight (\u0026lt;2500 g), sentinel congenital anomalies (atrial septal defect, ventricular septal defect, esophageal fistula, hypospadias), respiratory distress syndrome and hyperbilirubinemia (\u0026gt;12 mg/dL).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStatistical analyses\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMaternal demographic characteristics and clinical factors were compared between venous thrombosis cases and control groups. Continuous variables were described by mean with standard deviation (SD) or median with interquartile range (IQR). Categorical variables were described by frequencies (%). Analysis of variance or Kruskal-Wallis H tests were performed for continuous data, and chi-square tests or Fisher\u0026rsquo;s exact tests were performed for categorical data.\u003c/p\u003e\n\u003cp\u003eMultivariate log-binomial regression models were used to estimate the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for separately PE alone, DVT (including DVT and concomitant PE) and all VTE events across GWG in different periods of pregnancy. Regression model were adjusted for only co-variables with p \u0026lt;0.2 (maternal age, parity, ART, delivery mode, fetal number, birthweight, PIH, GDM and postpartum hemorrhage). Interaction effects between GWG and other covariates (parity, birthweight, maternal age and delivery mode) on venous thrombosis were also tested.\u003c/p\u003e\n\u003cp\u003eAll analyses were performed using the Statistical Analysis System (SAS) for Windows, version 9.4 (SAS Institute, Cary, NC). P\u0026lt;0.05 was considered statistically significant.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStudy population and characteristics\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 129443 women gave birth in Shanghai First Maternity and Infant Hospital between January 1\u003csup\u003est\u003c/sup\u003e, 2017 and July 31\u003csup\u003eth\u003c/sup\u003e, 2021 and 151 (11.7 per 10000) women experienced VTE in pregnancy or in the first 6 postnatal weeks. Of these, 65.6% (99 of 151) was PE alone and 34.4% (52 of 151) was DVT alone or combined with PE. 302 women who did not experience a VTE were selected as control. The prevalence of known risk factors for VTE was significantly higher in cases than controls (Table 1). In particular, cases were more likely to be of advanced age (23.2% versus 14.3%), to be overweight or obese (19.3% versus 11.0%), to have multiple birth (6.6% versus 2.7%), pregnancy-induced hypertension (PIH) (17.9% versus 6.0%), hypothyroidism (9.3% versus 3.7%), preterm birth (17.3% versus 5.0%), postpartum hemorrhage (14.6% versus 5.0%), abruptio placentae (4.0% versus 1.0%), ischemic placental diseases (26.5% versus 12.0%), delivery via cesarean delivery (81.5% versus 46.3%), newborns with low birth weight (15.2% versus 4.3%) and respiratory distress syndrome (6.6% versus 1.7%).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eTotal Weight gain during pregnancy\u003c/em\u003e\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn normal-weight women, total GWG was 14.6\u0026plusmn;4.7 kg for PE, 12.3\u0026plusmn;4.2 kg for DVT, 13.9\u0026plusmn;4.7 kg for all VTE and 13.2\u0026plusmn;4.3 kg for control (Table S1), and did significantly differ between PE and control group (adjusted estimated mean difference combined 0.06 kg, 95% CI 0.01-0.13 kg) (Table 2). A tendency towards decreased risk at lower total weight gain (aOR 0.85; 95% CI 0.43\u0026ndash;1.69) and significantly increased risk at higher values (aOR=1.52; 95% CI: 1.01-2.31) for PE was observed in normal-weight women, whereas there was no clear association between total weight gain and DVT or all VTE. As for underweight and overweight women, results from the categorical model for total weight gain indicated an increased risk at both low (aOR 1.85; 95% CI 0.28\u0026ndash;12.08 and aOR 1.23; 95% CI 0.46\u0026ndash;3.27, respectively) and high weight gain (aOR 2.31; 95% CI 0.44\u0026ndash;12.16 and aOR 2.13; 95% CI 0.67\u0026ndash;6.79, respectively), but confidence intervals were wide. In addition, total GWG was not significantly associated with DVT or all VTE (Table 3).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eWeight gain during early pregnancy\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pattern for early pregnancy weight gain showed similar results as those in total pregnancy: In normal-weight women, early GWG was 1.5\u0026plusmn;2.7 kg for PE, 0.7\u0026plusmn;1.6 kg for DVT, 1.3\u0026plusmn;2.4 kg for all VTE and 0.6\u0026plusmn;2.3 kg for control (Table S1), and did significantly differ between PE or all VTE and control group (adjusted estimated mean difference combined 0.03 kg, 95% CI 0-0.10 kg, p=0.0087 and 0.02 kg, 95% CI 0-0.08 kg, p=0.0235, respectively) (Table 2). There was observed protective effects of low weight gain (aOR 0.79; 95% CI 0.37\u0026ndash;1.68) and significantly increased risks of high weight gain (aOR=1.47; 95% CI: 1.03-2.09) for PE in normal-weight women. As for underweight women, weight gain above average was associated with an increased risk of PE (aOR=2.50; 95% CI: 0.29-21.40), so was for overweight and obese women (aOR=2.13; 95% CI: 0.52-8.79), but estimates were not statistically significant. In contrast, associations of weight gain above or below average with DVT or all VTE were not significant, included the null (Table 4).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eWeight gain during mid and late pregnancy\u003c/em\u003e\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe associations of higher GWG with PE for normal-weight women attenuated towards non-significant in mid and late pregnancy. Similarly, within the range of mid and late weight gain, no significant associations between maternal GWG and increased risk for DVT or all VTE were present, regardless of maternal BMI (Table 5 and 6).\u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003e\u003cstrong\u003eMain Findings\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, we found different associations of gestational stage-specific weight gain with venous thrombosis. Of those, higher GWG\u0026nbsp;in total or early pregnancy\u0026nbsp;was associated with higher risks of PE in normal-weight women.\u0026nbsp;As for underweight and overweight women, results from the categorical model for early or total pregnancy weight gain indicated an increased risk at both low and high weight gain for PE, but confidence intervals were wide.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStrengths and limitations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are strengths in our study. Due to the detailed clinical data, such as pre-pregnancy weight, weight measurements at every prenatal visit and weight measurements before delivery beyond the registry, it was possible for us to study both weight gain in different periods of pregnancy and to take the differences in types of VTE (eg, DVT as well as PE) into account. Moreover, use of weight gain z-scores instead of weight gain in kilograms helped to disentangle the effects of pregnancy weight gain on VTE from the effects of gestational duration, because GWG is highly correlated to the gestational duration. Our cohort study extends previous studies by accounting for effect modification by pre-pregnancy BMI and using a gestational age-independent measure of pregnancy weight gain.\u003c/p\u003e\n\u003cp\u003eThere are also limitations in our study. The number of VTE was decreased when stratified by BMI-categories, especially among obese women. For this reason, we analyze the effect of weight gain during pregnancy on VTE in obese together with overweight women. Furthermore, the incidence of VTE might be underestimated in this study, since women who have high risks of VTE during pregnancy typically receive low-molecular-weight heparin (LMWH) and are often not switched to VTE in the postpartum period, which is inevitable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eGWG has been associated with subsequent risks of adverse pregnancy outcomes, such as preterm birth, pre-eclampsia and caesarean section, has been suggested\u003csup\u003e[18,19]\u003c/sup\u003e, but evidence to clarify the relationship between gestational weight gain and maternal VTE have been sporadic\u003csup\u003e[13,20]\u003c/sup\u003e. A Norwegian hospital-case control study reported that large weight gains (\u0026gt;p90 or \u0026gt;21.0kg) were associated with 60% increased odds of postpartum VTE, while small maternal weight gain is an independent antenatal risk factor for VTE\u003csup\u003e[13]\u003c/sup\u003e. In a Washington State, USA population-based, case-control study, women with large weight gains during pregnancy (\u0026gt;22kg), independently of BMI, were more likely to have VTE (1.5, 95%CI 1.2-2.1)\u003csup\u003e[20]\u003c/sup\u003e. In line with these studies, we observed that higher GWG in whole pregnancy was associated with higher risk of PE. Over weight gain during pregnancy accompanied with increased intraabdominal pressure can encourage blood stasis through iliac vessels compression. Furthermore, elevated inflammatory cytokines and adipokines with increased fat deposition promote endothelial dysfunction and platelet hyperreactivity. Fat deposition also skews the hemostatic-fibrinolytic balance through elevation of procoagulant factors including von Willebrand factor, fibrinogen, factor VII, factor VIII, issue factor, and impairment of fibrinolysis by elevation of plasminogen activator inhibitor\u003csup\u003e[21]\u003c/sup\u003e. On top of differential inflammatory responses, women with high weight have longer durations of labor, greater rates of chorioamnionitis, postpartum hemorrhage and surgical complications, which may all lead to the observed greater risk of VTE after delivery\u003csup\u003e[22]\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eThere is growing recognition that the impacts of gestational stage-specific weight gain on pregnancy outcomes may vary\u003csup\u003e[23-27]\u003c/sup\u003e.\u0026nbsp;GWG in early pregnancy largely reflects maternal fat deposition, whereas GWG in mid and late pregnancy is also attributed to maternal and amniotic fluid expansion, and growth of the fetus, placenta and uterus\u003csup\u003e[28]\u003c/sup\u003e. In this study, we found that higher GWG\u0026nbsp;in early pregnancy\u0026nbsp;was associated with higher risks of PE in normal-weight women.\u0026nbsp;As for underweight and overweight women, results from the categorical model for early pregnancy weight gain indicated an increased risk at both low and high weight gain for PE. Studies have found that mothers with increased fat deposition during early pregnancy may involve the multifactorial engagement of alterations to blood flow, hypercoagulability, chronic low-grade inflammation and endothelial dysfunction, which may lead to PE\u003csup\u003e[21,29]\u003c/sup\u003e. Therefore, GWG in early pregnancy, prior to the development of pregnancy outcomes, might be as or more important than GWG in late pregnancy with respect to pregnancy outcomes.\u003c/p\u003e\n\u003cp\u003eGWG below average in overweight and obese\u0026nbsp;mothers were also at an increased risk of PE in our analysis. This finding, if true, could result from low amniotic fluid volume and fetal weight by ischemic placental disease (including preeclampsia, intrauterine growth retardation, stillbirth, and placental abruption), perhaps a potential for embolism, leading to PE\u003csup\u003e[1]\u003c/sup\u003e. Blondon et al found that the delivery of a newborn with low birth weight is associated with a 3-fold increased risk of maternal postpartum VTE\u003csup\u003e[1]\u003c/sup\u003e. In another Norwegian hospital-based, case\u0026ndash;control study, mothers of newborns with IUGR were at 3.8-fold risk of postpartum VTE\u003csup\u003e[13]\u003c/sup\u003e. Moreover, hypertension during pregnancy and preeclampsia are also associated with an increased VTE risk during pregnancy and postpartum period\u003csup\u003e[9,30]\u003c/sup\u003e. However, a randomized clinical trial indicated that pre-pregnancy weight loss intervention has favorable effects on the early intrauterine environment\u003csup\u003e[31]\u003c/sup\u003e. Lifestyle intervention during pregnancy could to some extent limit GWG and improve maternal and infant health\u003csup\u003e[32]\u003c/sup\u003e. Therefore, pre-pregnancy weight interventions integrated into intensive weight management that continues through pregnancy may be indispensable to decrease the risks of PE.\u003c/p\u003e\n\u003cp\u003eThere was no statistical association between maternal weight gain and DVT or all VTE across all BMI categories. Similarly, Matthew et al retrospectively analyzed a large database from American found that only the risk of PE is elevated in patient classification as heavier categories after surgery, whereas there was no positive association between DVT and BMI\u003csup\u003e[33,34]\u003c/sup\u003e. Explanations for this observed association exist, of which anticoagulation used for VTE prophylaxis during pregnancy is most plausible. All pregnant women in Shanghai are managed based on RCOG Green-top Guidelines\u003csup\u003e[35]\u003c/sup\u003e and Quensland Clinical Guidelines\u003csup\u003e[36,37]\u003c/sup\u003e. Briefly, they will undergo a documented assessment of risk factors for VTE throughout pregnancy, intrapartum and the puerperium. Any woman with risk factors shown in\u0026nbsp;Table S2\u0026nbsp;should be considered for prophylactic low-molecular-weight heparin (LMWH). Previous studies have evaluated the efficacy of LMWH for thromboprophylaxis, revealed that LMWH probably results in little to no difference in the incidence of PE in patients undergoing knee arthroscopy, but reduce the risk of asymptomatic DVT\u003csup\u003e[38]\u003c/sup\u003e. Similarly, eight RCTs showed no clear differences between the LMWH and no prophylaxis or placebo groups in patients with lower-limb immobilization for PE, but less DVT in the LMWH groups\u003csup\u003e[39]\u003c/sup\u003e. Therefore, aggressive pharmacologic anticoagulation regimens during pregnancy can decrease the DVT rate but have not been shown to affect the rate of PE. Meanwhile, common risk factors for DVT, like history of multiple deliveries, smoking, and obesity are less frequently observed in China\u003csup\u003e[15,40]\u003c/sup\u003e. These may be the reasons for the higher incidence of PE in this study. However, the evidence is very uncertain, and further high-quality very large-scale randomized trials are needed to determine effects of currently used treatments in women with different VTE risk factors.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe GWG associations with venous thrombosis differ at different periods of pregnancy. Of those, maternal weight gain in total or early pregnancy is an important risk factor for PE. In order to effectively improve maternal and child outcomes, pre-pregnancy weight interventions integrated into intensive weight management that continues through pregnancy may be indispensable.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eVTE: Venous thromboembolism; DVT: Deep venous thrombosis; PE: Pulmonary embolus; GWG: Gestational weight gain; BMI: body mass index; SD: Standard deviations; ART: Assisted reproductive technology; IUI: Intrauterine insemination; IVF: in-vitro fertilization; ICSI: Intracytoplasmic sperm injection; GDM: Gestational diabetes mellitus; PIH: Pregnancy induced hypertension; aORs: Adjusted odds ratios; Cis: Confidence intervals; IUGR: Intrauterine growth retardation; SGA: Small for gestational age; LGA: Large for gestational age; IQR: Interquartile range; SAS: Statistical Analysis System; LMWH: Low-molecular-weight heparin.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank the study participants for permitting us to use their personal data.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eYW, JP and LD participated in interpretation of data and involved in drafting the manuscript. ZZ, TZ, XZ, ZH and RC analyzed the data and critically revised the manuscript. XH made substantial contributions to conception and design, interpreted the data and critically revised the manuscript. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research was supported by the Shanghai Municipal Commission of Health and Family Planning (202040128), and Natural science foundation of Pudong Municipal Health Commission of Shanghai (PW2019D-13).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data that support the findings of this study are available from the corresponding author upon reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was approved by Ethics Committee of Shanghai First Maternity and Infant Hospital (reference number: KS2057).\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\u003eCompeting interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no known competing financial interests or personal relationships that may have influenced the work reported in this paper.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eShanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. \u003csup\u003e2\u003c/sup\u003eObstetrics Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eBlondon M, Quon BS, Harrington LB, et al. 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Association of Maternal Weight Gain in Pregnancy With Offspring Obesity and Metabolic and Vascular Traits in Childhood. \u003cem\u003eCirculation.\u0026nbsp;\u003c/em\u003e\u003cstrong\u003e2010\u003c/strong\u003e, \u003cem\u003e121\u003c/em\u003e. 23, 2557-2564.\u003c/li\u003e\n \u003cli\u003eLaitinen J, Jaaskelainen A, Hartikainen AL, et al. Maternal weight gain during the first half of pregnancy and offspring obesity at 16 years: a prospective cohort study. \u003cem\u003eBJOG.\u0026nbsp;\u003c/em\u003e\u003cstrong\u003e2012\u003c/strong\u003e, \u003cem\u003e119\u003c/em\u003e. 6, 716-723.\u003c/li\u003e\n \u003cli\u003eLawlor DA, Paul L, Abigail F, et al. Does maternal weight gain in pregnancy have long-term effects on offspring adiposity? 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Hereditary risk factors for thrombophilia and probability of venous thromboembolism during pregnancy and the puerperium. \u003cem\u003eBlood.\u0026nbsp;\u003c/em\u003e\u003cstrong\u003e2016\u003c/strong\u003e, \u003cem\u003e128\u003c/em\u003e. 19, 2343-2349.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1.\u003c/strong\u003e Characteristics of cases and controls.\u003c/p\u003e\n\u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharacteristic\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e\u003cstrong\u003eControls\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e（\u003c/strong\u003e\u003cstrong\u003en=302\u003c/strong\u003e\u003cstrong\u003e）\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e\u003cstrong\u003eCases\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e（\u003c/strong\u003e\u003cstrong\u003en=151\u003c/strong\u003e\u003cstrong\u003e）\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\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 width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMaternal age(y)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e30.8\u0026plusmn;6.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e32.1\u0026plusmn;4.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e\u0026lt;0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMaternal age \u0026ge;35 years, n (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e43 (14.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e35 (23.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0184\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eNulliparous, n (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e212 (70.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e112 (74.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.4658\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducation, university degree and above, n (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e276 (91.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e136 (90.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.6728\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eART, n (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e36（12.0）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e4（2.7）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0010\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePre-pregnancy BMI (kg/m\u003csup\u003e2\u003c/sup\u003e), mean\u0026plusmn;SD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e21.6\u0026plusmn;2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e22.0\u0026plusmn;3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.3725\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePre-pregnancy BMI categories, n (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e31 (10.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e9 (6.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0074\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"51.401869158878505%\"\u003e\n \u003cp\u003eNormal weight (18.5-24.9 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.077881619937695%\"\u003e\n \u003cp\u003e237 (78.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\"\u003e\n \u003cp\u003e112 (74.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"51.401869158878505%\"\u003e\n \u003cp\u003eOverweight and obese (\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.077881619937695%\"\u003e\n \u003cp\u003e33 (11.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\"\u003e\n \u003cp\u003e29 (19.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eGestational age at delivery (week), median (IQR)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e\u0026nbsp;39 (38, 40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e38 (37, 39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e\u0026lt;0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMode of delivery\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003eSpontaneous labor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e161（53.6）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e28（18.5）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"21.8978102189781%\"\u003e\n \u003cp\u003e\u0026lt;0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"51.401869158878505%\"\u003e\n \u003cp\u003eCaserean section\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.077881619937695%\"\u003e\n \u003cp\u003e139（46.3）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.5202492211838%\"\u003e\n \u003cp\u003e123 (81.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMultiple pregnancy\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e9（2.7）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e10（6.6）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0284\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePregnancy complications\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003eGDM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e30（10.0）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e19（12.6）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.3993\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003ePIH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e18（6.0）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e27（17.9）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e\u0026lt;0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003eHypothyroidism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e11（3.7）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e14（9.3）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0138\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003ePreterm birth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e15 (5.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e26 (17.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e\u0026lt;0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003ePostpartum hemorrhage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e15（5.0）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e22（14.6）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0005\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003eIschemic placental diseases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e36（12.0）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e40（26.5）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e\u0026lt;0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003ePremature rupture of membranes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e55 (18.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e31 (20.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.5646\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003ePlacenta previa\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e3 (1.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e4 (2.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.1801\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003eAbruptio placentae\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e3 (1.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e6 (4.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0328\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePostpartum transfusion\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e6（2.0）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e5（3.3）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.3916\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eInfant Gender (female)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e153 (50.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e87 (57.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.1732\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eBirth Weight (gm) (Mean\u0026plusmn;SD)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e3246\u0026plusmn;449\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e3168\u0026plusmn;663\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e\u0026lt;0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eSGA \u0026le;10\u003csup\u003eth\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e19（6.3）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e10（6.6）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.8991\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eLGA \u0026ge;90\u003csup\u003eth\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e17（5.7）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e16（10.6）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0568\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMacrosomia (\u0026gt;4000 g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e11（3.7）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e8（5.3）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.4120\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eLow birthweight (\u0026lt;2500 g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e13（4.3）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e23（15.2）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e\u0026lt;0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eVery low birthweight (\u0026lt;2500 g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e2（0.7）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e4（3.3）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0824\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eSentinel congenital anomalies\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e7（2.3）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e6（4.0）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.3233\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eHyperbilirubinemia\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e32（10.6）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e24（15.9）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.1096\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"40.14598540145985%\"\u003e\n \u003cp\u003e\u003cstrong\u003eRespiratory distress syndrome\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.586374695863746%\"\u003e\n \u003cp\u003e5（1.7）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.369829683698295%\"\u003e\n \u003cp\u003e10（6.6）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.8978102189781%\"\u003e\n \u003cp\u003e0.0055\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAbbreviations: BMI: body mass index; GDM: gestational diabetes mellitus; PIH: pregnancy induced hypertension; SGA: small for gestational age; LGA: large for gestational age; IQR: median with interquartile range.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u0026nbsp;\u003c/strong\u003eAbsolute effect size of gestational weight gain at different periods of pregnancy.\u003c/p\u003e\n\u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePE\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eAdjusted effect size (95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=99)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\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 width=\"13.528748590755356%\"\u003e\n \u003cp\u003e\u003cstrong\u003eDVT with PE or without PE\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eAdjusted effect size (95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=52)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\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 \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e\u003cstrong\u003eAll VTE\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eAdjusted effect size (95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(n=151)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\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 colspan=\"7\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal GWG in pregnancy by BMI categories\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e-0.04 (0, 0.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.2645\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.31 (0, 0.57)\u003csup\u003e\u0026nbsp;*\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0063\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.03 (0, 0.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.0516\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eNormal weight (18.5-24.9 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.06 (0.01, 0.13)\u003csup\u003e*\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0149\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.05 (0.01, 0.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.2752\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.05 (0.01, 0.11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.1191\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eOverweight and obese (\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.06 (0, 0.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.7018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.02 (0, 0.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.4258\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.07 (0, 0.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.6870\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003eGWG in early pregnancy by BMI categories\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.30 (0, 0.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.0542\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.33 (0, 0.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.0596\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.29 (0, 0.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.0542\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eNormal weight (18.5-24.9 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.03 (0, 0.10) \u003csup\u003e*\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0087\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e-0.01 (0, 0.04)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.7320\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.02 (0, 0.08) \u003csup\u003e*\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0235\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eOverweight and obese (\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e-0.05 (0, 0.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.4264\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e-0.08 (0, 0.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.1886\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.01 (0, 0.26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.1424\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003eGWG in mid pregnancy by BMI categories\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.09 (0, 0.46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.3084\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.01 (0, 0.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.0797\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.14 (0, 0.50) \u003csup\u003e*\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0065\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eNormal weight (18.5-24.9 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.00 (0, 0.06)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.4225\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.00 (0, 0.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.3731\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.01 (0, 0.07)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e02473\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eOverweight and obese (\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.15 (0, 0.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.1499\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e-0.02 (0, 0.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.5082\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.11 (0, 0.37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.1470\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003eGWG in late pregnancy by BMI categories\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e-0.06 (0, 0.23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.3860\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e-0.02 (0, 0.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.1161\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e-0.07 (0, 0.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.6476\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eNormal weight (18.5-24.9 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.03 (0, 0.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.1246\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.05 (0.01, 0.12)\u003csup\u003e\u0026nbsp;*\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0295\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.03 (0, 0.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.8666\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.04735062006765%\"\u003e\n \u003cp\u003eOverweight and obese (\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e-0.04 (0, 0.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.4134\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.528748590755356%\"\u003e\n \u003cp\u003e0.05 (0, 0.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.568207440811724%\"\u003e\n \u003cp\u003e0.0541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.092446448703495%\"\u003e\n \u003cp\u003e0.01 (0, 0.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.117249154453214%\"\u003e\n \u003cp\u003e0.1369\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAbbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e. Maternal total pregnancy weight gain by z-score categories with adjusted odds ratios for PE alone, DVT (including DVT and concomitant PE) and all VTE events.\u003c/p\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"13.154172560113155%\"\u003e\n \u003cp\u003eBMI\u003c/p\u003e\n \u003cp\u003ecategory\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.154172560113155%\"\u003e\n \u003cp\u003eTotal Weight Gain\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.062234794908063%\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"7.072135785007072%\"\u003e\n \u003cp\u003ePE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"14.144271570014144%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"10.325318246110326%\"\u003e\n \u003cp\u003eDVT with PE or without PE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"13.295615275813295%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.062234794908063%\"\u003e\n \u003cp\u003eAll VTE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"12.72984441301273%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003ez-score\u003c/p\u003e\n \u003cp\u003ecategory\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.154172560113155%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.154172560113155%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.062234794908063%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.072135785007072%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.144271570014144%\"\u003e\n \u003cp\u003e1.85 (0.28, 12.08)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.325318246110326%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.295615275813295%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.062234794908063%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.72984441301273%\"\u003e\n \u003cp\u003e0.87 (0.55, 1.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.146579804560261%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.143322475570033%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.286644951140065%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.889250814332248%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.657980456026058%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.146579804560261%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.143322475570033%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.286644951140065%\"\u003e\n \u003cp\u003e2.31 (0.44, 12.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.889250814332248%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.657980456026058%\"\u003e\n \u003cp\u003e0.66 (0.33, 1.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.154172560113155%\"\u003e\n \u003cp\u003eNormal weight (18.5-24.9) kg/m2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.154172560113155%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.062234794908063%\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.072135785007072%\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.144271570014144%\"\u003e\n \u003cp\u003e0.85 (0.43, 1.69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.325318246110326%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.295615275813295%\"\u003e\n \u003cp\u003e1.77 (0.92, 3.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.062234794908063%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.72984441301273%\"\u003e\n \u003cp\u003e1.00 (0.89, 1.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.146579804560261%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e171\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.143322475570033%\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.286644951140065%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.889250814332248%\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.657980456026058%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.146579804560261%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.143322475570033%\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.286644951140065%\"\u003e\n \u003cp\u003e1.52 (1.01, 2.31)\u003csup\u003e\u0026nbsp;*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.889250814332248%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\"\u003e\n \u003cp\u003e0.81 (0.30, 2.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.657980456026058%\"\u003e\n \u003cp\u003e0.97 (0.87, 1.09)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.154172560113155%\"\u003e\n \u003cp\u003eOverweight and obese\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.154172560113155%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.062234794908063%\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.072135785007072%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.144271570014144%\"\u003e\n \u003cp\u003e1.23 (0.46, 3.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.325318246110326%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.295615275813295%\"\u003e\n \u003cp\u003e1.09 (0.44, 2.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.062234794908063%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.72984441301273%\"\u003e\n \u003cp\u003e0.98 (0.70, 1.37)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.146579804560261%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.143322475570033%\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.286644951140065%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.889250814332248%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.657980456026058%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.146579804560261%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.143322475570033%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.286644951140065%\"\u003e\n \u003cp\u003e2.13 (0.67,6.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.889250814332248%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.309446254071661%\"\u003e\n \u003cp\u003e0.67 (0.10, 4.43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.283387622149837%\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.657980456026058%\"\u003e\n \u003cp\u003e0.95 (0.70, 1.29)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAdjusted maternal age, parity, ART, delivery mode, fetal number, birthweight, gestational age, PIH, GDM and postpartum hemorrhage.\u003c/p\u003e\n\u003cp\u003eAbbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u003c/strong\u003e Maternal early pregnancy weight gain by z-score categories with adjusted odds ratios for PE alone, DVT (including DVT and concomitant PE) and all VTE events.\u003c/p\u003e\n\u003ctable align=\"left\" border=\"0\" cellpadding=\"0\" cellspacing=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eBMI\u003c/p\u003e\n \u003cp\u003ecategory\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003eEarly Weight Gain\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.05084745762712%\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"7.768361581920904%\"\u003e\n \u003cp\u003ePE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"13.418079096045197%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"10.451977401129943%\"\u003e\n \u003cp\u003eDVT with PE or without PE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"13.418079096045197%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"7.909604519774011%\"\u003e\n \u003cp\u003eAll VTE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"12.994350282485875%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003ez-score\u003c/p\u003e\n \u003cp\u003ecategory\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.768361581920904%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.451977401129943%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.909604519774011%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.994350282485875%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.94308943089431%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.105691056910569%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.959349593495935%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.94308943089431%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e2.50 (0.29, 21.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.105691056910569%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.959349593495935%\"\u003e\n \u003cp\u003e0.87 (0.43, 1.74)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eNormal weight\u003c/p\u003e\n \u003cp\u003e(18.5-24.9 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.768361581920904%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e0.79 (0.37, 1.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.451977401129943%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e0.80 (0.21, 3.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.909604519774011%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.994350282485875%\"\u003e\n \u003cp\u003e1.02 (0.85, 1.22)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e145\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.94308943089431%\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.105691056910569%\"\u003e\n \u003cp\u003e69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.959349593495935%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.94308943089431%\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e1.47 (1.03, 2.09)\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e0.41 (0.06, 2.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.105691056910569%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.959349593495935%\"\u003e\n \u003cp\u003e0.98 (0.85, 1.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eOverweight and obese\u003c/p\u003e\n \u003cp\u003e(\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.768361581920904%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.451977401129943%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.909604519774011%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.994350282485875%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.94308943089431%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.105691056910569%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.959349593495935%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.94308943089431%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e2.13 (0.52, 8.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e1.46 (0.46, 4.67)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.105691056910569%\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.959349593495935%\"\u003e\n \u003cp\u003e0.78 (0.47, 1.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;*Adjusted maternal age, parity, ART, delivery mode, fetal number, birthweight, gestational age, PIH, GDM and postpartum hemorrhage.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAbbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5. \u003c/strong\u003eMaternal mid pregnancy weight gain by z-score categories with adjusted odds ratios for PE alone, DVT (including DVT and concomitant PE) and all VTE events.\u003c/p\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eBMI\u003c/p\u003e\n \u003cp\u003ecategory\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.27683615819209%\"\u003e\n \u003cp\u003eMid Weight Gain\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.05084745762712%\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"7.203389830508475%\"\u003e\n \u003cp\u003ePE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"13.418079096045197%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"10.451977401129943%\"\u003e\n \u003cp\u003eDVT with PE or without PE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"13.418079096045197%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.192090395480227%\"\u003e\n \u003cp\u003eAll VTE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"12.853107344632768%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003ez-score\u003c/p\u003e\n \u003cp\u003ecategory\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.27683615819209%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.203389830508475%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.451977401129943%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.192090395480227%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.284552845528456%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.284552845528456%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eNormal weight (18.5-24.9) kg/m2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.27683615819209%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.203389830508475%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e1.29 (0.84, 1.98)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.451977401129943%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e0.96 (0.31, 3.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.192090395480227%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003e1.00 (0.88, 1.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.284552845528456%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.284552845528456%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e0.96 (0.56, 1.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e0.44 (0.11, 1.81)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e1.02 (0.90, 1.16)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eOverweight and obese\u003c/p\u003e\n \u003cp\u003e(\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.27683615819209%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.203389830508475%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e0.78 (0.30, 3.02)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.451977401129943%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e0.88 (0.16, 4.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.192090395480227%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003e1.08 (0.71, 1.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.284552845528456%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.284552845528456%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e1.44 (0.40, 5.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.032520325203253%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e1.07 (0.70, 1.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAdjusted maternal age, parity, ART, delivery mode, fetal number, birthweight, gestational age, PIH, GDM and postpartum hemorrhage.\u003c/p\u003e\n\u003cp\u003eAbbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6. \u003c/strong\u003eMaternal late pregnancy weight gain by z-score categories with adjusted odds ratios for PE alone, DVT (including DVT and concomitant PE) and all VTE events.\u003c/p\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eBMI\u003c/p\u003e\n \u003cp\u003ecategory\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.711864406779661%\"\u003e\n \u003cp\u003eLate Weight Gain\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.05084745762712%\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"7.203389830508475%\"\u003e\n \u003cp\u003ePE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"13.418079096045197%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"11.016949152542374%\"\u003e\n \u003cp\u003eDVT with PE or without PE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"13.418079096045197%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.192090395480227%\"\u003e\n \u003cp\u003eAll VTE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"12.853107344632768%\"\u003e\n \u003cp\u003eAdjusted odds ratio\u003c/p\u003e\n \u003cp\u003e(95% CI)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003ez-score\u003c/p\u003e\n \u003cp\u003ecategory\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eUnderweight (\u0026lt; 18.5 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.711864406779661%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.203389830508475%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e4.25 (0.83, 21.68)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.016949152542374%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.192090395480227%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003e0.83 (0.54, 1.28)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.682926829268293%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e2.13 (0.25, 18.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.682926829268293%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e2.86 (0.20, 39.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e0.93 (0.64, 1.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eNormal weight (18.5-24.9 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.711864406779661%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.203389830508475%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e0.86 (0.54, 1.35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.016949152542374%\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e1.64 (0.78, 3.45)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.192090395480227%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003e1.01 (0.90, 1.14)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e165\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.682926829268293%\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e1.01 (0.67, 1.52)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.682926829268293%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e1.03 (0.38, 2.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e0.99 (0.87, 1.12)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" width=\"13.135593220338983%\"\u003e\n \u003cp\u003eOverweight and obese\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(\u0026ge; 25 kg/m2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.711864406779661%\"\u003e\n \u003cp\u003e＜-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.05084745762712%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.203389830508475%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e2.84 (0.57, 14.13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.016949152542374%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.418079096045197%\"\u003e\n \u003cp\u003e1.01 (0.35, 2.93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.192090395480227%\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.853107344632768%\"\u003e\n \u003cp\u003e0.79 (0.43, 1.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e-1 to 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.682926829268293%\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.634146341463415%\"\u003e\n \u003cp\u003e＞1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.268292682926829%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.292682926829269%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003e1.19 (0.36, 3.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.682926829268293%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.447154471544716%\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.43089430894309%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.796747967479675%\"\u003e\n \u003cp\u003e1.19 (0.65, 2.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAdjusted maternal age, parity, ART, delivery mode, fetal number, birthweight, gestational age, PIH, GDM and postpartum hemorrhage.\u003c/p\u003e\n\u003cp\u003eAbbreviations: BMI: body mass index; DVT: deep venous thrombosis; PE: pulmonary embolus; VTE: venous thromboembolism.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Venous thromboembolic disease, pulmonary embolus, gestational weight gain, pregnancy outcomes, z-scores","lastPublishedDoi":"10.21203/rs.3.rs-1133612/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1133612/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground \u003c/strong\u003eAlthough the rate of maternal mortality has declined over the past few decades, pulmonary embolus (PE) remains an important cause of maternal deaths. Little is known about the associations of specific periods of gestational weight gain with detailed PE and deep venous thrombosis (DVT).\u003cstrong\u003e \u003c/strong\u003eWe explored the incidence of pregnancy-related venous thromboembolism (VTE) in China and assessed the associations of maternal weight gain in different periods of pregnancy with VTE.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e In a retrospective case-control study conducted in in Shanghai First Maternity and Infant Hospital from January 1\u003csup\u003est\u003c/sup\u003e, 2017 to July 31\u003csup\u003eth\u003c/sup\u003e, 2021, 151 cases (11.7 per 10000) of venous thromboembolism (VTE) within pregnancy or the first 6 postnatal weeks were identified. 302 controls without VTE who gave birth at the same time as the cases were selected. Maternal pre-pregnancy weight, weight in early, mid and late pregnancy and other maternal pregnancy and newborn characteristics were obtained. GWG was standardized into gestational age-specific z-scores stratified by body mass index (BMI) and categorized as low (z score \u0026lt;-1), normal (-1 to 1), and high (\u0026gt;1). The adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated through log-binomial regression models. Interaction effects between gestational weight gain (GWG) and some other adjustment factors were tested, further stratified analyses were performed separately where interaction terms were significant. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e There were 65.6% (99 of 151) of pulmonary embolus (PE) alone and 34.4% (52 of 151) of deep venous thrombosis (DVT) alone or combined with PE. For all pre-pregnancy BMI categories (underweight, normal weight, overweight and obese), there was no statistical association between maternal weight gain of all gestational intervals and DVT or all VTE in this study. However, for PE, there was observed protective effects of low weight gain (aOR 0.79; 95% CI 0.37–1.68) and significantly increased risks of high weight gain (aOR=1.47; 95% CI: 1.03-2.09) among normal-weight women in early pregnancy. Similarly, a tendency towards decreased risk at lower weight gain throughout pregnancy (aOR 0.79; 95% CI 0.37–1.68) and significantly increased risk at higher values (aOR=1.52; 95% CI: 1.01-2.31) for PE was observed in normal-weight women. As for underweight and overweight women, results from the categorical model for early, late or total pregnancy weight gain indicated an increased risk in PE at both low and high weight gain, but confidence intervals were wide.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusion \u003c/strong\u003e\u003c/p\u003e\u003cp\u003eChinese women have a higher risk of PE than the foreigner counterparts. Maternal weight gain in total or early pregnancy is an important risk factor for PE. In order to effectively improve maternal and child outcomes, intensive weight management that continues through pregnancy may be indispensable.\u003c/p\u003e","manuscriptTitle":"Association Between Maternal Weight Gain in Different Periods of Pregnancy and the Risk of Venous Thromboembolism: A Retrospective Matched Case-Control Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-12-03 17:12:01","doi":"10.21203/rs.3.rs-1133612/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"f16dea31-c3d5-43c1-9130-192c60e8022b","owner":[],"postedDate":"December 3rd, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":8918351,"name":"Maternal \u0026 Fetal Medicine"}],"tags":[],"updatedAt":"2021-12-03T22:44:03+00:00","versionOfRecord":[],"versionCreatedAt":"2021-12-03 17:12:01","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-1133612","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-1133612","identity":"rs-1133612","version":["v1"]},"buildId":"WrCJVZZCHTDjtuVLN7oU0","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}