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Validation of the Killip-Kimball Classification and Late Mortality after Acute Myocardial Infarction

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) dur...

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Detalles Bibliográficos
Autores principales: de Mello, Bruno Henrique Gallindo, Oliveira, Gustavo Bernardes F., Ramos, Rui Fernando, Lopes, Bernardo Baptista C., Barros, Cecília Bitarães S., Carvalho, Erick de Oliveira, Teixeira, Fabio Bellini P., Arruda, Guilherme D'Andréa S., Revelo, Maria Sol Calero, Piegas, Leopoldo Soares
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Cardiologia 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150661/
https://www.ncbi.nlm.nih.gov/pubmed/25014060
http://dx.doi.org/10.5935/abc.20140091
Descripción
Sumario: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.