A New Predictor of Mortality in ST-Elevation Myocardial Infarction: The Uric Acid Albumin Ratio. (May 2022)

• Record Type: Journal Article
• Authors: Kalkan, Sedat; Cagan Efe, Süleyman; Karagöz, Ali; Zeren, Gönül; Yılmaz, Mehmet Fatih; Şimşek, Barış; Batgerel, Ulaankhuu; Özkalaycı, Flora; Tanboğa, İbrahim Halil; Oduncu, Vecih; Karabay, Can Yücel; Kırma, Cevat
• Is Part Of: Angiology. Volume 73:Number 5(2022)
• Page Start: 461
• Page End: 469
• Publication Date: 2022-05
• Subjects: uric acid/albumin ratio -- ST-elevation myocardial infarction -- mortality -- uric acid -- albumin; Blood-vessels -- Diseases -- Periodicals; Cardiovascular system -- Diseases -- Periodicals; 616.13005
• DOI: 10.1177/00033197211066362
• Languages: English
• ISSNs: 0003-3197

Abstract

Several studies have shown that high uric acid (UA) and low serum albumin (SA) values increase the risk of cardiovascular disease and mortality in ST-elevation myocardial infarction (STEMI). We determined whether the uric acid/albumin ratio (UAR) is a predictor of mortality in STEMI patients. All patients who presented at our center with a diagnosis of STEMI and underwent percutaneous intervention from 2015 to 2020 were screened consecutively; 4599 patients were included. A Cox proportional hazards model was used to evaluate UAR, and adjusted predictors obtained from laboratory findings and clinical characteristics contributed to mortality. Also, a regression model was presented with a directed acyclic graph (DAG). The median age of the patients was 58 years (IQR [interquartile range]: 50–67); 3581 patients (77.9%) were male. The incidence of mortality in the entire patient group was 11.9%. Median follow-up duration of all groups was 42 months. Multivariate Cox proportional regression (model-1) analysis showed age (increase 50 to 67 years; HR [hazard ratio]: 1.34, 95% CI 1.18–1.52) and UAR (increase 1.15–1.73; HR: 1.33, 95% CI 1.16–1.52) were associated with mortality. UAR may be a prognostic factor for mortality in STEMI patients and an easily accessible parameter to identify high-risk patients.