Premium
Performance of risk models predicting cardiac complications in pregnant women with congenital heart disease: a meta‐analysis
Author(s) -
Wang Tom Kai Ming,
Lowe Boris,
Hlohovsky Stephanie,
O'Donnell Clare
Publication year - 2020
Publication title -
internal medicine journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 70
eISSN - 1445-5994
pISSN - 1444-0903
DOI - 10.1111/imj.14810
Subject(s) - medicine , confidence interval , meta analysis , heart disease , risk stratification , pregnancy , population , complication , disease , obstetrics , pediatrics , cardiology , environmental health , genetics , biology
Accurate risk stratification is important in pregnant women including the growing population with congenital heart disease (CHD). We meta‐analysed the performance of risk models for CHD women. Six studies with 3426 pregnancies were studied, with cardiac complication rates of 6.7–20.6%. Pooled c‐statistics (95% confidence interval) for scores were mWHO 0.71 (0.65–0.76), CARPREG 0.66 (0.61–0.71) and ZAHARA 0.71 (0.65–0.76). Current risk models had at best moderate discrimination for CHD women with significant room for improvement.