Interactive cardiovascular and thoracic surgery · 2009
Is the aortic valve pathology type different for early and late mortality in concomitant aortic valve replacement and coronary artery bypass surgery?
Сравнительное исследованиеСтатьяНазвание и аннотация: Перевод в очереди
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Gunay Rafet, Sensoz Yavuz, Kayacioglu Ilyas, Tuygun Abdullah Kemal, Balci Ahmet Yavuz, Kisa Ugur, Demirtas Mahmut Murat, Yekeler Ibrahim
Аннотация
We assessed the effects of aortic valve pathology type on the long-term outcomes of patients who underwent concomitant aortic valve replacement (AVR) and coronary artery bypass grafting (CABG) surgery. We retrospectively reviewed 150 patients who underwent AVR-CABG at our institution between January 1997 and December 2006. We divided patients into aortic stenosis (AS), aortic regurgitation (AR), and mixed-type groups consisting of 98 (65.3%), 20 (13.3%) and 32 (21.3%) patients, respectively. The AS group had more female patients, a higher mean angina class, older mean patient age, increased history of previous myocardial infarction (MI), and smaller valve size compared to other groups. No significant differences were observed among groups in the operative mortality for five or ten-year survival rates. Significant early mortality risk factors included cross-clamp and cardiopulmonary bypass (CBP) time, number of blood transfusion units, chronic obstructive pulmonary disease (COPD), intra-aortic balloon pump (IABP), inotropic drugs, and pacemaker use. Significant late mortality risk factors included intensive care unit (ICU) stay, IABP, stroke, and dialysis. The aortic valve pathology type in patients undergoing concomitant AVR-CABG does not adversely affect survival.
Предметные рубрики MeSH
AgedAortic ValveAortic Valve InsufficiencyAortic Valve StenosisCoronary Artery BypassCoronary Artery DiseaseFemaleHealth Status IndicatorsHeart Valve Prosthesis ImplantationHospital MortalityHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment Outcome