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The leucoglycaemic index is a predictor of one-year all-cause mortality in Cuban patients with ST-segment elevation acute myocardial infarction.

Authors :
Padilla-Cueto, David
Hernández-Negrín, Halbert
Ramírez-Gómez, José I.
Pérez-Valdivia, Arlenys
Cárdenas-Sánchez, Ana L.
Alfonso-Izquierdo, Adrián
Source :
CorSalud. Jan-Mar2019, Vol. 11 Issue 1, p21-29. 9p.
Publication Year :
2019

Abstract

Introduction: The leuko-glycaemic index has been proposed as a prognostic marker of death in patients with acute myocardial infarction, but there is uncertainty surrounding its prognostic value to predict one-year mortality. Objectives: The aim of this study was to determine the prognostic value of leukoglycaemic index for one-year mortality in Cuban patients with ST-segment elevation myocardial infarction. Method: The data were obtained from the medical records and all cause one-year deaths was the primary endpoint. The leuko-glycaemic index was calculated from measurements at admission. The patients were divided into leuko-glycaemic index tertiles to be evaluated. Receiver operating characteristics and Kaplan-Meier survival curves were performed. Cox regression model was used for all multivariable analysis. Results: Three hundred and forty-four patients were assessed (median age, 68 years; 65.7% males; 25.6% diabetic). The mortality rate was 25.6%, being significantly higher in the upper tertile (55.7%, p<0.0001). The deceased patients presented a median of leuko-glycaemic index significantly higher than the survivors (2.18 and 1.34 respectively, p<0.0001). The area under the curve for leuko-glycaemic index was 0.715 and its cut-off value was 2.2. Any leuko-glycaemic index value higher than 2.2 was associated with significantly lower survival (177 vs. 309 days, p<0.0001) and it was an independent predictor of mortality (HR=3.56, CI 95%, 2.09-6.07, p<0.0001). Conclusions: The leuko-glycaemic index is a good predictor for all cause one-year mortality in patients with ST-segment elevation myocardial infarction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20787170
Volume :
11
Issue :
1
Database :
Academic Search Index
Journal :
CorSalud
Publication Type :
Academic Journal
Accession number :
138116898