Comparison of three definitions of metabolic syndrome and relation to risk of recurrent 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.

Are Overweight and Obesity Risk Factors for Developing Metabolic Syndrome or Hypertension after a Preeclamptic Event?

OBJECTIVE

To identify the determinants and risks associated with developing hypertension and metabolic syndrome in the first year postpartum in women who experienced preeclampsia.

METHODS

A cohort study was conducted, involving women who had experienced preeclampsia (PE) recently. The control group was women with the same characteristics but a healthy pregnancy. The variables analyzed were somatometry, disease history, pre-pregnancy body mass index (Pre-BMI), and Third Adult Treatment Panel updated (ATP III) metabolic syndrome (MS) data (blood pressure, obesity, triglycerides, high-density lipoproteins, and fasting glucose). These variables were measured at 3, 6, and 12 months postpartum.

RESULTS

Women with a history of PE exhibited higher systolic and diastolic blood pressure than women without PE. The risk of developing isolated diastolic arterial hypertension at 3 and 12 months of follow-up was two to eight times greater in women with a history of PE. Factors associated with having higher blood pressure levels were preeclampsia, insulin resistance, age, and BMI. Neither the pre-BMI index nor gestational weight gain (GWG) had any effect on blood pressure in any of the three assessments. Women with preeclampsia had a 5- to 8-fold increased risk of developing MS (which could be explained not only by the history of preeclampsia but also by the history of pre-pregnancy obesity). However, PE was not identified as a risk factor at the six-month evaluation and was only explained by pre-pregnancy obesity and overweight.

CONCLUSIONS

Obesity and overweight, as well as preeclampsia, were strongly associated with the development of hypertension and metabolic syndrome during the first year following childbirth.