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Summary: The objective of this study is to evaluate the long‐term effects of preeclampsia (PE) on metabolic and biochemical outcomes in offspring. We searched PubMed‐Medline, Web of Science, and EMBASE from inception to June 2021 for randomized clinical trials, cohort, and case–control studies. Two researchers independently extracted data according to the Preferred Reporting Items for Systematic Reviews and Meta‐analyses (PRISMA) guidelines and assessed possible bias. Rate ratios (RRs) or weighted mean differences (WMDs) were estimated using fixed‐effects model or random‐effects model if the heterogeneity was high. PE increased offspring risk of obesity (RR 1.45, 95% confident interval [CI] 1.19–1.78) with a mean weighted age of 9.1 years, and a higher body mass index from 10 years of age (WMD 0.46, 95% CI 0.08–0.83). PE offspring were associated with a higher mean arterial pressure (WMD 1.33, 95% CI 0.42–2.24), systolic blood pressure (WMD 1.93, 95% CI 1.48–2.37), and diastolic blood pressure (WMD 1.13, 95% CI 0.80–1.47) in puberty. However, we uncovered no association between PE and offspring levels of total cholesterol, triglycerides, high‐density lipoprotein, low‐density lipoprotein, glucose, and insulin in blood with puberty, nor was there an increase in the risk of type 1 diabetes mellitus in PE offspring under 15 years of age (RR 1.07, 95% CI 0.88–1.32). However, PE might be associated with central obesity, hypertension, and type 2 diabetes mellitus of offspring in later life. Offspring of mothers with PE exhibited an increased risk of obesity in childhood and a higher body mass index and blood pressure in puberty, but there were no differences in blood lipids or glucose metabolism in puberty compared to non‐PE offspring. PE might be associated with a higher risk for central obesity, hypertension, and type 2 diabetes mellitus of offspring in later life. [ABSTRACT FROM AUTHOR]

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., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)