Comparison of 3 risk estimation methods for predicting cardiac outcomes in pregnant women with congenital heart disease

Chun Wei Lu, Jin Chung Shih, Ssu Yuan Chen, Hsin Hui Chiu, Jou Kou Wang, Chun An Chen, Shuenn Nan Chiu, Ming Tai Lin, Chien Nan Lee, Mei Hwan Wu

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Background: Three risk estimation methods for predicting the cardiac outcomes of pregnancy in women with heart disease have been proposed. This study was designed to compare their prediction performance in an Asian cohort with congenital heart disease (CHD). Methods and Results: This study enrolled pregnant women with CHD who delivered their babies after the 20th gestational week between 1985 and 2011. Of 268 pregnancies in 190 women with CHD, 18 (6.7%) had cardiac complications. The incidence of maternal cardiac events among women with a CARPREG index of 0, 1 or 2 was 3.4%, 27.3% and 100%. The incidence was 2.7%, 8.6%, 11.1%, 40% and 17.6% for those with a ZAHARA score 0–0.5, 0.51–1.5, 1.51–2.5, 2.51–3.5 and >3.5. Among patients with a modified World Health Organization (WHO) classification I, II, III and IV, the incidence of maternal cardiac events was 0%, 4.0%, 12.2% and 25.7%. The c-statistic was 0.732 (95% confidence interval (CI): 0.589, 0.876; P

Original languageEnglish
Pages (from-to)1609-1617
Number of pages9
JournalCirculation Journal
Volume79
Issue number7
DOIs
Publication statusPublished - Jun 9 2015
Externally publishedYes

Keywords

  • Congenital heart disease
  • Pregnancy
  • Prognosis

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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