Prediction Model Based on Easily Available Markers for Aberrant Cardiac Remodeling in Women After Pregnancy

BACKGROUND: Preeclampsia is strongly associated with left ventricular concentric remodeling (LVCR) and left ventricular hypertrophy (LVH) up to 10 years after delivery. This predisposes to heart failure later in life. Adequate detection and prediction of LVCR or LVH is expected to decrease the risk of developing clinical heart failure within this high-risk female population. Therefore, we developed and internally validated a prediction model for aberrant cardiac remodeling in formerly pregnant women. METHODS: This large cohort study included women with a history of preeclampsia or normotensive pregnancy within a postpartum interval of 6 months to 30 years. Cardiovascular assessment was performed, including echocardiography, 30-minute blood pressure measurements, and circulating biomarkers. Aberrant cardiac remodeling based on echocardiographic findings was defined as either LVCR or LVH. Discriminative performance was evaluated by the area under the receiver operating characteristic curve. RESULTS: A total of 1397 women were included, of which 139 (10%) with LVCR or LVH (mean +/- SD age, 43 +/- 9 years) and 1258 (90%) without LVCR or LVH (40 +/- 8 years). The final prediction model was established based on the predictors age, waist circumference, systolic blood pressure, glycated hemoglobin, antihypertensive medication use, and early onset preeclampsia (yes/no). After internal validation, the prediction model showed accurate discriminative ability with an area under the receiver operating characteristic curve of 0.702 (95% CI, 0.657-0.756). CONCLUSIONS: Based on the conventional predictors, we developed a prediction model for women who are on average 8 to 12 years postpartum. Internal validation showed accurate discriminative ability. Upon external validation, this model may aid clinicians to initiate further diagnostic testing or clinical follow-up.

Automated summary

Preeclampsia is associated with cardiac remodeling, leading to an increased risk of heart failure. We developed a prediction model to detect and predict abnormal cardiac remodeling in formerly pregnant women, which may help reduce the risk of clinical heart failure.