Risk Analysis for Hospital Mortality in Patients With Acute Type A Aortic Dissection
ABSTRACT Stanford type A acute aortic dissection is a fatal condition requiring emergency surgery. This study was designed to evaluate risk factors for hospital mortality in patients with Stanford type A acute aortic dissection.
We studied consecutive 301 patients (163 men and 138 women; mean age, 63.3 years) who underwent emergency surgery for Stanford type A acute aortic dissection from January 1997 through December 2007. The subjects were divided into two groups: patients who were discharged from the hospital, and those who died during hospitalization. Preoperative and operative clinical factors were compared between the groups.
Overall, 41 patients (13.6%) died during hospitalization. On univariate analysis, significant preoperative risk factors for hospital mortality were cardiopulmonary resuscitation, coagulopathy, renal dysfunction, elevated aspartate aminotransferase levels, myocardial ischemia, and lower-extremity ischemia. As for factors related to surgery, the duration of operation, cardiopulmonary bypass time, aortic cross-clamp time, and volume of blood transfusion were greater among patients who died during hospitalization than in those who were discharged from the hospital. On multivariate analysis, independent preoperative risk factors were cardiopulmonary resuscitation, renal dysfunction, and lower-extremity ischemia. Shock or cardiac tamponade were not risk factors.
Risk factors for hospital mortality in patients with Stanford type A acute aortic dissection were cardiopulmonary resuscitation, renal dysfunction, and lower-extremity ischemia.
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ABSTRACT: Problems in harmonic analysis and synthesis are intertwined with their applications in signal and image processing. Developments in the theory on the zeta functions, algorithms on generalizations of Euclidean domains, and variations on equidistribution theory have led to algorithms for several classes of problems in parameter estimation that are general and very efficient. We present the theoretical justifications for these algorithms, and discuss their use in the analysis of periodic pulse trainsStatistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004; 07/1996
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