Comparing the severity of second preeclampsia with first preeclampsia: a multicenter retrospective longitudinal cohort study.

OBJECTIVE: Compare the clinical severity of second preeclampsia with the first preeclampsia. METHODS: This retrospective longitudinal cohort study was conducted in three teaching hospitals in Guangzhou, where there were a total of 296 405 deliveries between 2010 and 2021. Two consecutive singleton deliveries complicated with preeclampsia were included. Clinical features, laboratory results within 1 week before delivery, and maternal and neonatal outcomes of both deliveries were collected. Univariate analyses were made using paired Wilcoxon tests and McNemar tests. Multivariable logistic regression and generalized linear models were performed to assess the association of adverse maternal and neonatal outcomes with second preeclampsia. RESULTS: A total of 151 women were included in the study. The mean maternal age was 28 and 33 years for the first and second deliveries, respectively. The proportion of preventive acetylsalicylic acid use was 4.6% for the first delivery and 15.2% for the second delivery. No significant differences were observed in terms of blood pressure on admission, gestational weeks of admission and delivery, application of perinatal antihypertensive agents, rates of preterm delivery, and severe features between the two occurrences. However, the rates of heart disease, edema, and admission to the ICU were lower, and hospital stays were shorter in the second preeclampsia compared with the first preeclampsia. Sensitivity analysis conducted among women who did not use preventive acetylsalicylic acid yielded similar results. After adjusting for potential confounding variables, the occurrence of second preeclampsia was associated with significantly decreased risks of heart disease, edema, complications, and admission to the NICU, with odds ratios ranging between 0.157 and 0.336. CONCLUSION: Contrary to expectations, the second preeclampsia did not exhibit worse manifestations or outcomes to the first occurrence. In fact, some clinical features and outcomes appeared to be better in the second preeclampsia.

Development, validation, and clinical utility of a risk prediction model for recurrent preeclampsia.

OBJECTIVES: We aim to establish a predictive model for recurrent preeclampsia. METHODS: A retrospective review of medical records from three hospitals between 2010 and 2021 was conducted. The study included women who had two consecutive singleton deliveries at the same hospital, with the first delivery complicated by preeclampsia. A multivariable logistic regression model was constructed using a training cohort, and subsequently cross-validated and tested using an independent cohort. The model's performance was assessed in terms of discrimination and calibration, and its clinical utility was evaluated using decision curve analysis (DCA). RESULTS: Among 296 405 deliveries, 694 women met the inclusion criteria, with 151 (21.8%) experiencing recurrent preeclampsia. The predictive model incorporated 10 risk factors from previous preeclampsia, including gestational weeks with elevated blood pressure, gestational diabetes mellitus (GDM), pericardial effusion, heart failure, limb edema, serum creatinine, white blood cell count, low platelet counts within one week before delivery, SBP on the first postpartum day, and postpartum antihypertensive use. Additionally, one risk factor from the index pregnancy was included, which was antihypertensive use before 20 weeks. The model demonstrated better discrimination, calibration, and a net benefit across a wide range of recurrent preeclampsia risk thresholds. Furthermore, the model has been translated into a clinical risk calculator, enabling clinicians to calculate individualized risks of recurrent preeclampsia. CONCLUSION: Our study demonstrates that a predictive tool utilizing routine clinical and laboratory factors can accurately estimate the risk of recurrent preeclampsia. This predictive model has the potential to facilitate shared decision-making by providing personalized and risk-stratified care.