Predictors of mortality after aortic valve replacement
Author(s) -
Yanto Sandy Tjang,
Yvonne van Hees,
Reiner Körfer,
Diederick E. Grobbee,
Geert J. M. G. van der Heijden
Publication year - 2007
Publication title -
european journal of cardio-thoracic surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.303
H-Index - 133
eISSN - 1873-734X
pISSN - 1010-7940
DOI - 10.1016/j.ejcts.2007.06.012
Subject(s) - medicine , aortic valve replacement , cardiology , ejection fraction , coronary artery disease , atrial fibrillation , risk of mortality , dialysis , heart failure , surgery , stenosis
Aortic valve replacement (AVR) is recommended as a standard surgical procedure for aortic valve disease. Still the evidence for commonly claimed predictors of post-AVR prognosis, in particular mortality, appears scant. This systematic review reports on the evidence for predictors of post-AVR mortality, and may be helpful in pre-surgical risk-stratification. In PubMed, we searched for original reports of post-AVR follow-up studies. We assessed the quality of study design and methods with a standardized checklist. Data of the reported predictors of mortality and outcomes were extracted. Twenty-eight studies met our inclusion criteria. Sixteen studies were considered of high quality. There is strong evidence that the risk of early mortality is increased by emergency surgery, while the risk of late mortality is increased with older age and preoperative atrial fibrillation. There is moderate evidence that the risk of early mortality is increased by older age, aortic insufficiency, coronary artery disease, longer cardiopulmonary bypass time, reduced left ventricular ejection fraction (LV-EF), infective endocarditis, hypertension, mechanical valves, preoperative pacing, dialysis-dependent renal failure and valve size; and that the risk for late mortality is increased by emergency surgery and urgency of the operation. There is little evidence for high New York Heart Association class, concomitant coronary artery bypass graft and many other commonly claimed risk factors for post-AVR mortality. The reported evidence on predictors of post-AVR mortality will help for pre-surgical risk-stratification, i.e. to discern patients at high or low risk for early and late post-AVR mortality. Future prognostic studies should take the evidence from this review into account and should focus on derivation of a predictive model for post-AVR survival.
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