Data of Cox regression analysis showed that higher L/A value supposed to be an independent risk factor for in-hospital mortality. L/A values at admission were significantly higher in the death groups than the survival groups, and area under the ROC curve was better than other indicators, and the best the cut-off value was 0.671. The Kaplan–Meier (KM) method was used to draw the survival curve of the two groups with different L/A levels at admission. Univariate/multivariate Cox regression analysis and restricted cubic splines (RCS) were performed to identify the association between hospital admission and hospital mortality. A receiver operating characteristic (ROC) curve of the subjects was applied to determine the predicted value and the best cut-off value of L/A on admission. We enrolled qualified patients from Medical Information Mart for Intensive Care IV database for retrospective study. We aim to evaluate the prognostic value of L/A ratio in predicting in-hospital mortality for those patients. ![]() Lactate/albumin ratio (L/A) is a recognized prognostic index of patients with heart failure (HF) after myocardial infarction (MI).
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