医学
内科学
心脏病学
价值(数学)
心脏外科
重症监护医学
统计
数学
标识
DOI:10.5935/1678-9741.20150025
摘要
1Centro Universitario Lusiada (UNILUS), Santos, SP, Brazil. E-mail: edag@uol.com.br Detection and characterization of mortality predictors is becoming an interesting approach in the field of cardiovascular surgery, particularly in valve and CABG procedures. Yet there is a paucity of trials in order to obtain precise data on this topic using statistic criteria. In the last decades, many cardiologists have turned attention to underlying role of inflammation in heart diseases and different types of heart operation. The key point raised by these experts is that main expression from inflammatory cardiovascular process can be translated into serologic appearance of some markers[1-3]. From the publication “Predictors of mortality in cardiac surgery: B-type natriuretic peptide’’ by Murad Junior et al.[4], the first observation can be drawn is epidemiologic quality of retrospective study of valve and CABG patients. Undoubtedly main step for identifying a mortality predictor using statistical analysis is to know how patients were selected and included in the study.
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