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中华妇幼临床医学杂志(电子版)

Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition) ›› 2020, Vol. 16 ›› Issue (05): 574 -583. doi: 10.3877/cma.j.issn.1673-5250.2020.05.011

Special Issue: ；

Original Article

Correlation analysis between advanced pregnant women with gestational diabetes mellitus and different types of preeclampsia

Qiuhe Chen1, Dan Shan2, Qian Chen1, Yayi Hu2,†()   

  1. 1. Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China; West China School of Medicine, Sichuan University, Chengdu 610041, Sichuan Province, China
    2. Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
  • Received:2020-03-04 Revised:2020-09-07 Published:2020-10-01
  • Corresponding author: Yayi Hu
  • Supported by:
    Applied Basic Research Project of Science and Technology Department of Sichuan Province(2019YJ0086); Chengdu Technological Innovation Research and Development Project(2019-YF05-00448-SNL); Clinical Research Fund of West China Second University Hospital, Sichuan University(KL024)
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Objective

To investigate the correlation between advanced gestational diabetes mellitus (GDM) and different types of preeclampsia (PE), and to improve the clinical management of advanced GDM pregnant women.

Methods

From January to December 2018, 600 elderly pregnant women[(36.4±1.2) years old]admitted to West China Second University Hospital, Sichuan University were included into elderly group, including 200 GDM and 400 non-GDM pregnant women. According to 1∶1 ratio, 600 ultra-elderly pregnant women (200 GDM and 400 non-GDM pregnant women) who visited the same hospital during the same period were enrolled into ultra-elderly group, with the age of (40.9±1.2) years old. Independent-samples t test was used to compare the age between two groups, and the proportion of different types of PE was analyzed by chi-square test. Univariate and multivariate logistic regression models were used to analyze the relationship between GDM elderly pregnant women and different types of PE. This study was in line with the requirements of World Medical Association Declaration of Helsinki revised in 2013.

Results

①The proportions of PE, early-onset PE and severe PE in GDM pregnant women were higher than those in non-GDM pregnant women in both elderly group and ultra-elderly group.Among them, the proportion of GDM pregnant women complicated with PE in the elderly group was higher than that of non-GDM pregnant women, with statistically significant (P<0.05). The proportion of early-onset PE and severe PE in GDM pregnant women in the ultra-elderly group were higher than those of non-GDM pregnant women, with statistically significant (P<0.05). ② Univariate logistic regression analysis showed that GDM was a risk factor for PE of elderly group (OR=2.232, 95%CI: 1.080-4.613, P=0.030). As for ultra-elderly age group, GDM was a risk factor for early-onset PE (OR=3.456, 95%CI: 1.238-9.650, P=0.018) and severe PE (OR=2.236, 95%CI: 1.057-4.729, P=0.035). ③After controlling for confounding factors, multivariate unconditional logistic regression analysis showed that the risk of PE in GDM pregnant women was 1.934 times than that in non-GDM pregnant women (OR=1.934, 95%CI: 1.029-4.115, P=0.047). In addition, BMI≥24 kg/m2 was a risk factor for PE(OR=2.931, 95%CI: 1.332-6.449, P=0.008), early-onset PE(OR=2.977, 95%CI: 1.105-8.019, P=0.031) and severe PE (OR=2.638, 95%CI: 1.093-6.365, P=0.031). Living in rural areas was a risk factor for PE (OR=2.831, 95%CI: 1.042-7.686, P=0.041) and severe PE (OR=3.232, 95%CI: 1.088-9.603, P=0.035). High education level was a protective factor for PE (OR=0.231, 95%CI: 0.071-0.749, P=0.015) and severe PE (OR=0.179, 95%CI: 0.048-0.673, P=0.011). In ultra-elderly group, the risk of early-onset PE and severe PE of pregnant women with GDM increased by 3.187 times (OR=3.187, 95%CI: 1.109-9.153, P=0.031) and 2.351 times (OR=2.351, 95%CI: 1.043-5.302, P=0.039), respectively, compared with those without GDM. In addition, BMI≥24 kg/m2 was a risk factor for PE(OR=2.654, 95%CI: 1.417-4.971, P=0.002) and severe PE (OR=3.418, 95%CI: 1.515-7.710, P=0.003). Living in suburban counties was a risk factor for PE (OR=2.374, 95%CI: 1.089-5.171, P=0.030) and severe PE (OR=5.303, 95%CI: 2.074-13.565, P<0.001). High education level was a protective factor for PE (OR=0.347, 95%CI: 0.135-0.892, P=0.028) and severe PE (OR=0.164, 95%CI: 0.047-0.574, P=0.005).

Conclusions

Elderly GDM pregnant women increase the risk of PE, while ultra-elderly GDM increases the risk of early onset and severe preeclampsia. Overweight and obesity, low education level and living in rural areas of suburban counties are different risk factors of preeclampsia.

Key words: Diabetes, gestation, Pre-eclampsia, Body mass index, Logistic models, Risk factors, Sigleton pregnancy, Pregnant women
表1 高龄组和超高龄组孕妇的3种类型PE所占比例比较[例数(%)]
组别 例数 PE 早发型PE 重度PE 组别 例数 PE 早发型PE 重度PE
高龄组         超高龄组        
  GDM孕妇 200 16(8.0) 8(4.0) 12(6.0)   GDM孕妇 200 22(11.0) 10(5.0) 15(7.5)
  非GDM孕妇 400 15(3.8) 10(2.5) 13(3.2)   非GDM孕妇 400 28(7.0) 6(1.5) 14(3.5)
χ2值   4.915 1.031 2.525 χ2值   2.793 6.293 4.638
P值   0.027 0.310 0.112 P值   0.095 0.012 0.031
表2 GDM导致高龄组孕妇3种类型PE发生的单因素logistic回归分析
PE类型 B SE Wald值 P值 OR值 OR值95%CI
PE 0.803 0.370 4.698 0.030 2.232 1.080～4.613
早发型PE 0.486 0.482 1.013 0.314 1.625 0.631～4.183
重度PE 0.642 0.410 2.451 0.117 1.900 0.851～4.245
表3 GDM导致超高龄组孕妇3种类型PE发生的单因素logistic回归分析
PE类型 B SE Wald值 P值 OR值 OR值95%CI
PE 0.496 0.299 2.749 0.097 0.609 0.339～1.095
早发型PE 1.240 0.524 5.603 0.018 3.456 1.238～9.650
重度PE 0.804 0.382 4.430 0.035 2.236 1.057～4.729
表4 不同类型PE影响因素的多因素非条件logistic回归分析的变量含义及赋值情况
自变量/因变量 变量名 赋值
是否为PE y1 y1＝0表示非PE，y1＝1表示PE
是否为早发型PE y2 y2＝0表示非早发型PE，y2＝1表示早发型PE
是否为重度PE y3 y3＝0表示非重度PE，y3＝1表示重度PE
是否为GDM x1 x1＝0表示非GDM，x1＝1表示GDM
是否为初产妇 x2 x2＝1表示初产妇，x2＝2表示经产妇
BMI x3 x3＝0表示BMI<24 kg/m2，x3＝1表示BMI≥24 kg/m2
文化程度 x4 x4＝1表示学历为小学及以下，x4＝2表示学历为中学，x4＝3表示学历为大学及以上
居住地 x5 x5＝1表示居住地在城市，x5＝2表示居住地在郊县，x5＝3表示居住地在乡村
是否有ART史 x6 x6＝0表示无ART史，x6＝1表示有ART史
表5 高龄组孕妇PE影响因素的多因素非条件logistic分析
影响因素 B SE Wald值 P值 OR值 OR值95%CI
常数项 -2.474 0.604 16.790 <0.001 0.084 —
GDM 0.660 0.385 2.932 0.047 1.934 1.029～4.115
初产妇 -0.350 0.442 0.628 0.428 0.705 0.294～1.675
BMI≥24 kg/m2 1.075 0.402 7.140 0.008 2.931 1.332～6.449
文化程度            
  小学及以下 — — 6.163 0.046 — —
  中学 -0.771 0.560 1.897 0.168 0.463 0.154～1.385
  大学及以上 -1.466 0.600 5.961 0.015 0.231 0.071～0.749
居住地            
  城市 — — 6.041 0.049 — —
  郊县 -0.830 0.761 1.190 0.275 0.436 0.098～1.937
  乡村 1.040 0.510 4.168 0.041 2.831 1.042～7.686
ART史 -0.091 0.582 0.024 0.876 0.913 0.292～2.859
表6 高龄组孕妇早发型PE影响因素的多因素非条件logistic分析
影响因素 B SE Wald值 P值 OR值 OR值95%CI
常数项 -2.872 0.785 13.393 <0.001 0.057 —
GDM 0.332 0.494 0.452 0.501 1.393 0.530～3.666
初产妇 -0.644 0.568 1.285 0.257 0.525 0.173～1.599
BMI≥24 kg/m2 1.091 0.506 4.657 0.031 2.977 1.105～8.019
文化程度            
  小学及以下 — — 1.677 0.432 — —
  中学 -0.759 0.750 1.025 0.311 0.468 0.108～2.035
  大学及以上 -0.984 0.762 1.669 0.196 0.374 0.084～1.663
居住地            
  城市 — — 0.283 0.868 — —
  郊县 —0.200 0.777 0.067 0.796 0.818 0.178～3.753
  乡村 0.337 0.786 0.184 0.668 1.401 0.300～6.540
ART史 -0.391 0.787 0.247 0.619 0.676 0.145～3.162
表7 高龄组孕妇重度PE影响因素的多因素非条件logistic分析
影响因素 B SE Wald值 P值 OR值 OR值95%CI
常数项 -2.331 0.655 12.646 <0.001 0.097 —
GDM 0.469 0.427 1.211 0.271 1.599 0.693～3.689
初产妇 -0.733 0.514 2.028 0.154 0.481 0.175～1.317
BMI≥24 kg/m2 0.970 0.449 4.658 0.031 2.638 1.093～6.365
文化程度            
  小学及以下 — — 6.526 0.038 — —
  中学 -0.991 0.617 2.578 0.108 0.371 0.111～1.244
  大学及以上 -1.720 0.676 6.480 0.011 0.179 0.048～0.673
居住地            
  城市 — — 5.495 0.064 — —
  郊县 —0.535 0.769 0.485 0.486 0.586 0.130～3.642
  乡村 1.173 0.556 4.457 0.035 3.232 1.088～9.603
ART史 0.092 0.591 0.024 0.877 1.096 0.344～3.490
表8 超高龄组孕妇PE影响因素的多因素非条件logistic分析
影响因素 B SE Wald值 P值 OR值 OR值95%CI
常数项 -2.825 0.505 31.315 <0.001 0.059 —
GDM 0.458 0.312 2.165 0.141 1.582 0.859～2.913
初产妇 0.637 0.363 3.083 0.079 1.891 0.929～3.852
BMI≥24 kg/m2 0.976 0.320 9.297 0.002 2.654 1.417～4.971
文化程度            
  小学及以下 — — 4.931 0.085 — —
  中学 -0.552 0.434 1.618 0.203 0.576 0.246～1.348
  大学及以上 -1.059 0.482 4.832 0.028 0.347 0.135～0.892
居住地            
  城市 — — 5.178 0.075 — —
  郊县 0.864 0.397 4.733 0.030 2.374 1.089～5.171
  乡村 0.501 0.411 1.489 0.222 1.651 0.738～3.692
ART史 0.476 0.427 1.244 0.265 1.609 0.697～3.712
表9 超高龄组孕妇早发型PE影响因素的多因素非条件logistic分析
影响因素 B SE Wald值 P值 OR值 OR值95%CI
常数项 -3.867 0.822 22.115 <0.001 0.021 —
GDM 1.159 0.538 4.635 0.031 3.187 1.109～9.153
初产妇 -0.297 0.605 0.241 0.624 0.743 0.227～2.432
BMI≥24 kg/m2 0.892 0.554 2.588 0.108 2.439 0.823～7.230
文化程度            
  小学及以下 — — 3.290 0.193 — —
  中学 -0.465 0.694 0.449 0.503 0.628 0.161～2.448
  大学及以上 -1.665 0.942 3.128 0.077 0.189 0.030～1.198
居住地            
  城市 — — 2.887 0.236 — —
  郊县 1.005 0.638 2.485 0.115 2.732 0.783～9.533
  乡村 0.752 0.714 1.110 0.292 2.121 0.542～8.594
ART史 -0.180 0.707 0.065 0.800 0.836 0.209～3.343
表10 超高龄组孕妇重度PE影响因素的多因素非条件logistic分析
影响因素 B SE Wald值 P值 OR值 OR值95%CI
常数项 -3.693 0.657 31.596 <0.001 0.025 —
GDM 0.855 0.415 4.248 0.039 2.351 1.043～5.302
初产妇 0.759 0.475 2.550 0.110 2.136 0.841～5.424
BMI≥24 kg/m2 1.229 0.415 8.769 0.003 3.418 1.515～7.710
文化程度            
  小学及以下 — — 8.022 0.018 — —
  中学 -0.791 0.515 2.355 0.125 0.454 0.165～1.245
  大学及以上 -1.806 0.638 8.008 0.005 0.164 0.047～0.574
居住地            
  城市 — — 12.478 0.002 — —
  郊县 1.668 0.479 12.124 <0.001 5.303 2.074～13.565
  乡村 0.991 0.526 3.548 0.060 2.693 0.961～7.550
ART史 -0.326 0.695 0.220 0.639 0.722 0.185～2.818
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