ArticleCoronary artery disease2025
Uric acid-to-albumin ratio × monocyte-to-lymphocyte ratio is a novel biomarker for predicting all-cause mortality and cardiovascular mortality in patients with ST-segment elevation myocardial infarction.
Article in Coronary artery disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Abstract
backgroundUric acid-to-albumin ratio (UAR) and monocyte-to-lymphocyte ratio (MLR) predict adverse outcomes in cardiovascular disease (CVD). We aim to explore the predictive value of UAR combined with MLR for all-cause and cardiovascular mortality in patients with ST-segment elevation myocardial infarction (STEMI).
methodsThis retrospective cohort study included 1045 patients with STEMI who had undergone emergency percutaneous coronary intervention (PCI) (2018-2023). Uric acid-to-albumin ratio × monocyte-to-lymphocyte ratio (UAML) was defined as the product of UAR and MLR. Mortality prediction was evaluated via Kaplan-Meier, Cox regression, and time-dependent receiver operating characteristic (ROC) analyses.
resultsStratifying 1045 patients with STEMI by median UAML (3.35) revealed significantly higher cumulative all-cause mortality (log-rank χ2 =41.114, P < 0.001) and cardiovascular mortality ( χ2 = 32.153, P < 0.001) in the high-UAML (≥3.35) vs. low-UAML (<3.35) group. Multivariate Cox analysis confirmed UAML as an independent predictor of all-cause mortality [hazard ratio (HR) = 2.217, 95% confidence interval (CI): 1.399-3.514; P < 0.001] and cardiovascular mortality (HR = 2.160, 95% CI: 1.267-3.618; P = 0.005). Time-dependent ROC demonstrated superior predictive discrimination for UAML over individual components in both all-cause mortality [area under the ROC curve (AUC) = 0.704 vs. UAR = 0.686/MLR = 0.627] and cardiovascular mortality (AUC = 0.700 vs. 0.690/0.615).
conclusionUAML may serve as a strong prognostic factor for all-cause and cardiovascular mortality in patients with STEMI who undergo emergency PCI, and UAML has a stronger predictive value than UAR or MLR.
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