Factors influencing postoperative survival in aortic regurgitation. Analysis by Cox regression model.
作者： Yves Louagie , Christian Brohet , Annie Robert , Enrique Lopez , Pierre Jaumin
DOI: 10.1016/S0022-5223(19)38356-4
关键词: Prognostic variable 、 Proportional hazards model 、 Surgery 、 Survival rate 、 Ejection fraction 、 Regression analysis 、 Regurgitation (circulation) 、 Aortic valve replacement 、 Medicine 、 Population 、 Cardiology 、 Internal medicine
摘要: From 1965 to 1981, 114 patients underwent aortic valve replacement for severe regurgitation in our institution. Catheterization was performed preoperatively 103 patients. Follow-up possible 98% of the survivors. Long-term survival significantly different between preoperative Functional Class I-II and those III-IV (p less than 0.03); with a cardiothoracic ratio 0.64 versus greater or equal 0.001); ejection fraction 0.50 0.03). A multifactorial analysis used identify dominant prognostic variables affecting survival. Three 13 parameters examined simultaneously were found independently influence rates: = 0.001), strain pattern on electrocardiogram 0.072), left ventricular end-systolic pressure 0.127). After stratification population into two groups according functional class, predictive 0.014), 0.050), acute/chronic form 0.034). This statistical enabled us derive mathematical equation predicting an individual patient's probability We close fit rate predicted by model observed rate.
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