validation of the killip-kimball classification and late mortality after acute myocardial infarction

Clicks: 90
ID: 170894
2014
Background: The classification or index of heart failure severity in patients with acute myocardial infarction (AMI) was proposed by Killip and Kimball aiming at assessing the risk of in-hospital death and the potential benefit of specific management of care provided in Coronary Care Units (CCU) during the decade of 60. Objective: To validate the risk stratification of Killip classification in the long-term mortality and compare the prognostic value in patients with non-ST-segment elevation MI (NSTEMI) relative to patients with ST-segment elevation MI (STEMI), in the era of reperfusion and modern antithrombotic therapies. Methods: We evaluated 1906 patients with documented AMI and admitted to the CCU, from 1995 to 2011, with a mean follow-up of 05 years to assess total mortality. Kaplan-Meier (KM) curves were developed for comparison between survival distributions according to Killip class and NSTEMI versus STEMI. Cox proportional regression models were developed to determine the independent association between Killip class and mortality, with sensitivity analyses based on type of AMI. Results: The proportions of deaths and the KM survival distributions were significantly different across Killip class >1 (p <0.001) and with a similar pattern between patients with NSTEMI and STEMI. Cox models identified the Killip classification as a significant, sustained, consistent predictor and independent of relevant covariables (Wald χ2 16.5 [p = 0.001], NSTEMI) and (Wald χ2 11.9 [p = 0.008], STEMI). Conclusion: The Killip and Kimball classification performs relevant prognostic role in mortality at mean follow-up of 05 years post-AMI, with a similar pattern between NSTEMI and STEMI patients.
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Authors ;Bruno Henrique Gallindo de Mello;Gustavo Bernardes F. Oliveira;Rui Fernando Ramos;Bernardo Baptista C. Lopes;Cecília Bitarães S. Barros;Erick de Oliveira Carvalho;Fabio Bellini P. Teixeira;Guilherme D'Andréa S. Arruda;Maria Sol Calero Revelo;Leopoldo Soares Piegas
Journal revista cubana de ciencias informáticas
Year 2014
DOI 10.5935/abc.20140091
URL
Keywords Keywords not found

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