Prospective Multicenter Study of Pregnancy Outcomes in Women With Heart Disease
Author(s) -
Samuel C. Siu,
Mathew Sermer,
Jack M. Colman,
A. Nanette Alvarez,
LiseAndrée Mercier,
Brian C. Morton,
Catherine Kells,
M. Lynn Bergin,
Marla Kiess,
François Marcotte,
Dylan A. Taylor,
Elaine Gordon,
John C. Spears,
James W. Tam,
Kofi S. Amankwah,
Jeffrey F. Smallhorn,
Dan Farine,
Sheryll Sorensen,
on behalf of the Cardiac Disease in Pregnancy (CARPREG) Investigators
Publication year - 2001
Publication title -
circulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.795
H-Index - 607
eISSN - 1524-4539
pISSN - 0009-7322
DOI - 10.1161/hc3001.093437
Subject(s) - medicine , pregnancy , heart disease , miscarriage , maternal death , heart failure , prospective cohort study , cardiology , gestation , obstetrics , stroke (engine) , pulmonary edema , population , lung , engineering , environmental health , genetics , biology , mechanical engineering
Background The maternal and neonatal risks associated with pregnancy in women with heart disease receiving comprehensive prenatal care have not been well defined.Methods and Results We prospectively enrolled 562 consecutive pregnant women with heart disease and determined the outcomes of 599 pregnancies not ending in miscarriage. Pulmonary edema, arrhythmia, stroke, or cardiac death complicated 13% of pregnancies. Prior cardiac events or arrhythmia, poor functional class or cyanosis, left heart obstruction, and left ventricular systolic dysfunction independently predicted maternal cardiac complications; the cardiac event rate can be predicted using a risk index incorporating these predictors. Neonatal complications (20% of pregnancies) were associated with poor functional class or cyanosis, left heart obstruction, anticoagulation, smoking, and multiple gestations.Conclusions Pregnancy in women with heart disease is associated with significant cardiac and neonatal complications, despite state-of-the-art obstetric and cardiac care. Maternal cardiac risk can be predicted with the use of a risk index.
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