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预测先天性心脏病孕妇心脏并发症风险模型的性能:一项荟萃分析。

Performance of risk models predicting cardiac complications in pregnant women with congenital heart disease: a meta-analysis.

机构信息

Paediatric and Congenital Cardiac Service, Starship Hospital, Auckland, New Zealand.

Green Lane Cardiovascular Service, Auckland City Hospital, Auckland, New Zealand.

出版信息

Intern Med J. 2020 Apr;50(4):481-484. doi: 10.1111/imj.14810.

Abstract

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.

摘要

准确的风险分层对于包括先天性心脏病(CHD)在内的不断增长的孕妇人群非常重要。我们对 CHD 女性的风险模型性能进行了荟萃分析。研究了六项研究共 3426 例妊娠,心脏并发症发生率为 6.7-20.6%。评分的汇总 c 统计量(95%置信区间)为 mWHO 0.71(0.65-0.76)、CARPREG 0.66(0.61-0.71)和 ZAHARA 0.71(0.65-0.76)。目前的风险模型对 CHD 女性的区分度最好也只是中等,仍有很大的改进空间。

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