Volume 46 Issue 4
Apr.  2025
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Yan CHI, Junxian LI, Ling ZHAO, Wenyi LI, Tingyu KE. Correlation Analysis between Coagulation and Fibrinolysis in Early Pregnancy and Gestational Diabetes in Women with Different BMI before Pregnancy[J]. Journal of Kunming Medical University, 2025, 46(4): 77-82. doi: 10.12259/j.issn.2095-610X.S20250410
Citation: Yan CHI, Junxian LI, Ling ZHAO, Wenyi LI, Tingyu KE. Correlation Analysis between Coagulation and Fibrinolysis in Early Pregnancy and Gestational Diabetes in Women with Different BMI before Pregnancy[J]. Journal of Kunming Medical University, 2025, 46(4): 77-82. doi: 10.12259/j.issn.2095-610X.S20250410

Correlation Analysis between Coagulation and Fibrinolysis in Early Pregnancy and Gestational Diabetes in Women with Different BMI before Pregnancy

doi: 10.12259/j.issn.2095-610X.S20250410
  • Received Date: 2024-09-06
    Available Online: 2025-04-02
  • Publish Date: 2025-04-25
  •   Objective   To explore the relationship between the coagulation and fibrinolysis function in the early pregnancy and the occurrence of gestational diabetes mellitus (GDM) in women with different pre pregnancy body mass indexes (BMI).   Methods   290 pregnant women undergoing the prenatal check ups at the Second Affiliated Hospital of Kunming Medical University from September 2023 to February 2024 were selected. Pre pregnancy BMI, age, family genetic history, parity, parity, and early pregnancy coagulation and fibrinolysis function test results were collected. Based on whether GDM had occurred, they were divided into GDM group (n = 72) and non GDM group (n = 218), and further divided into low weight GDM group (n = 8), low weight non GDM group (n = 29), normal weight GDM group (n = 39), normal weight non GDM group (n = 145), overweight/obesity GDM group (n = 25), overweight/obesity non GDM group (n = 44) based on pre pregnancy BMI. Basic data comparison was conducted on the total population and BMI groups. Independent sample t-test or Mann Whitney U test was used for quantitative data, and chi square test or Fisher's exact probability method was used for qualitative data. Multivariate logistic regression was used to correct the influencing factors.   Results   After adjusting the confounding factors such as age, family history, and pre pregnancy BMI, APTT was negatively correlated with the occurrence of GDM in the overall population (P < 0.05, OR = 0.840), while FIB was positively correlated with GDM (P < 0.01, OR = 2.598). In low body weight recombination, APTT was negatively correlated with GDM (P < 0.05, OR = 0.483), FIB was positively correlated with GDM (P < 0.05, OR=82.501), while there was no significant correlation between APTT, FIB and GDM after adjusting the age, family history, and pre pregnancy BMI; In the normal weight group, APTT was negatively correlated with GDM (P < 0.01, OR = 0.786) and FIB was positively correlated with GDM (P < 0.05, OR = 2.413). However, after adjusting the age, family history, and pre pregnancy BMI, APTT remained negatively correlated with GDM (P < 0.05, OR = 0.812) and FIB remained positively correlated with GDM (P < 0.05, OR = 2.391); In the overweight/obese group, TT was negatively correlated with GDM (P < 0.05, OR = 0.510), while there was no significant correlation between TT and GDM after adjusting the age, family history, and pre pregnancy BMI.   Conclusion   In the normal weight population, APTT is negatively correlated with the occurrence of GDM, while FIB is positively correlated with the occurrence of GDM; In the low weight and overweight/obese populations, coagulation and fibrinolysis related indicators are greatly influenced by BMI and have no significant correlation with the occurrence of GDM.
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