Multivariate logistic regression analysis of preeclampsia in patients with pregnancy induced hypertension and the risk predictive value of monitoring platelet, coagulation function and thyroid hormone in pregnant women.

Objective: Multivariate logistic regression analysis of preeclampsia in patients with pregnancy induced hypertension and the risk predictive value of monitoring platelet, coagulation function and thyroid hormone in pregnant women.

Methods: The data of 120 pregnant women who delivered their babies at Xinyu Maternal and Child Health Hospital from January 2019 to January 2022 were analyzed retrospectively. Among the subjects studied, 60 were patients with preeclampsia as a study group and 60 healthy pregnant women were assigned to a control group. The clinical data of pregnant women were recorded, including age, weight gain during pregnancy, nationality, education level, times of antenatal examinations, times of pregnancy and parturition, discovery of gestational weeks, multiple pregnancies, amniotic fluid volume, neonatal weight, history of in vitro fertilization combined with embryo transfer, history of diabetes, kidney disorders or preeclampsia, family background of high blood pressure, anemia and so on. The clinical test data, such as platelet count and volume, coagulation function and thyroid hormone, were collected in two groups of pregnant women. Multivariate logistic regression analysis was performed on preeclampsia. The predictive value of platelet, coagulation function and thyroid hormone on preeclampsia was explored.

Results: We compared the general hematological parameters. Univariate Logistic analysis found that age, history of diabetes, nephropathy or preeclampsia, family background of elevated blood pressure, weight gain during pregnancy, frequency of pregnancy and multiple pregnancies were all risk factors for preeclampsia. Multivariate Logistic regression analysis screened out that age, history of diabetes, kidney disorders or preeclampsia, family background of hypertension were independent risk factors for preeclampsia. The white blood cell count and platelet count of the study group were lower than those of the control group. Moreover, observed patients displayed a larger average platelet volume (P<0.05). Significant differences were found in glutamic pyruvic transaminase, glutamic oxaloacetic transaminase, lactate dehydrogenase, albumin, serum creatinine and uric acid, as well as in thrombin time and activated partial thromboplastin time between the two groups (P<0.05). In terms of thyroid function, obvious differences were found in serum thyrotropin and free thyroxine between the two groups (P<0.05).

Conclusion: Age, history of diabetes, kidney disorders or preeclampsia, family background of highly blood pressure are independent risk factors for preeclampsia. Platelet, coagulation function and thyroid hormone levels can have a certain risk predictive value.