Abstract：Objective To investigate the pregnancy outcomes of patients with hypertensive disorders of pregnancy (HDP) in Wenzhou People’s Hospital from 2018 to 2021, to analyze the relevant factors influencing their pregnancy outcomes, and to provide references for taking clinical intervention measures and reducing the risk of adverse pregnancy outcomes. Methods We selected the clinical data about 400 HDP patients (singleton pregnancies) delivered in Wenzhou People’s Hospital from January 2018 to December 2021, and then conducted a retrospective analysis. All the patients were divided into the adverse pregnancy outcome group (n=157) and the normal pregnancy outcome group (n=243) according to their pregnancy outcomes. The clinical data of the two groups were compared, and the factors influencing the occurrence of adverse pregnancy outcomes in the HDP patients were analyzed. Logistic regression model equations were constructed, and the predictive value of the logistic regression model was analyzed. Results Among the 400 HDP patients 157 (39.25%) had adverse pregnancy outcomes. Univariate analysis showed that age, pre-pregnancy body mass index (BMI), mode of delivery, gestational diabetes mellitus (GDM) and negative emotions were associated with adverse pregnancy outcomes (P<0.05). Logistic regression model revealed that age ≥ 35 years (OR=23.815, 95%CI:10.370-54.655), pre-pregnancy BMI ≥ 24.0 (OR=16.010, 95%CI:6.832-34.620), vaginaldelivery (OR=16.336, 95%CI:7.325-36.403), GDM (OR=26.337, 95%CI:11.908-58.253), and negative emotions (OR=20.682, 95%CI:7.791-54.876) were independent risk factors for the occurrence of adverse pregnancy outcomes in the HDP patients (all P<0.05). The logistic regression model equation constructed by 5 independent risk factors was logistic(P)=-4.125+age×3.170+pre-pregnancy BMI×2.773+vaginal delivery×2.793+GDM×3.271+negative emotion×3.029. When logistic (P)=4.11, the area under the curve for predicting adverse pregnancy outcomes in the HDP patients was 0.899 (95%CI:0.865-0.926), and the predictive sensitivity and specificity were 84.36% and 82.17%, respectively. According to the scoring criteria and the occurrence of adverse pregnancy outcomes, the HDP patients could be divided into low risk (0-4 points), intermediate risk (5-8 points) and high risk (9-12 points). Conclusion The incidence rate of adverse pregnancy outcomes in the GH patients is high. Age, pre-pregnancy BMI, vaginal delivery, GDM and negative emotions are all influential factors in the occurrence of adverse pregnancy outcomes. Constructing the logistic regression model can predict the risk of adverse pregnancy outcomes and is conducive to clinical formulation of related interventions.
王晔, 周飞飞, 凌思思, 林美美, 陈媛媛, 胡艳君. 妊娠期高血压患者妊娠结局调查及相关影响因素分析[J]. 实用预防医学, 2022, 29(11): 1324-1327.
WANG Ye, ZHOU Fei-fei, LING Si-si, LIN Mei-mei, CHEN Yuan-yuan, HU Yan-jun. Pregnancy outcomes and their related influencing factors in patients with hypertension during pregnancy. , 2022, 29(11): 1324-1327.
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2022, Vol. 29 
