Predictive Value of Uric Acid/Albumin Ratio for the Prediction of New-Onset Atrial Fibrillation in Patients with ST-Elevation Myocardial Infarction

ABSTRACT Background: There is a lack of studies supporting the association between the uric acid/albumin ratio (UAR) and the development of new-onset atrial fibrillation (NOAF) in ST-elevation myocardial infarction (STEMI) patients treated with primary percutaneous coronary intervention (pPCI). Objective: The objective of the study was to assess the efficacy of the UAR for predicting the occurrence of NOAF in STEMI patients undergoing pPCI. Methods: We recruited 1484 consecutive STEMI patients in this retrospective and cross-sectional investigation. The population sample was classified based on the development of NOAF during hospitalization. NOAF was defined as an atrial fibrillation (AF) observed during hospitalization in patients without a history of AF or atrial flutter. The UAR was computed by dividing the serum uric acid (UA) level by serum albumin level. Results: After pPCI, 119 STEMI patients (8%) were diagnosed with NOAF. NOAF patients had higher serum UAR levels than individuals who did not have NOAF. According to the multivariable logistic regression model, the UAR was an independent predictor for NOAF in STEMI patients (OR: 6.951, 95% CI: 2.978-16.28, p < 0.001). The area under curve (AUC) value of the UAR in a receiver operating characteristics (ROC) evaluation was 0.758, which was greater than those of its components (albumin [AUC: 0.633] and UA [AUC: 0.647]) and C-reactive protein (AUC: 0.714). The optimal UAR value in predicting NOAF in STEMI patients was greater than 1.39, with a sensitivity of 69% and a specificity of 74.5%. Conclusion: To the best of our knowledge, this is the first study indicating that the UAR was an independent predictor of NOAF development in STEMI patients.

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Bibliographic Details
Main Authors: Selçuk,Murat, Çinar,Tufan, Şaylik,Faysal, Akbulut,Tayyar, Asal,Suha, Çiçek,Vedat, Hayiroğlu,Mert İlker, Tanboğa,İbrahim Halil
Format: Digital revista
Language:English
Published: Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán 2022
Online Access:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0034-83762022000300156
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