De-Ritis Ratio Improves Long-Term Risk Prediction after Acute Myocardial Infarction

Autor: Sebastian Schnaubelt, Georg Goliasch, Patrick Sulzgruber, Stefan Forster, Lorenz Koller, Klaus Distelmaier, Johann Wojta, Aurel Toma, Feras El-Hamid, Max-Paul Winter, Christian Hengstenberg, Alexander Niessner, Thomas Reiberger, Matthias Steininger
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Clinical Medicine
Volume 7
Issue 12
Journal of Clinical Medicine, Vol 7, Iss 12, p 474 (2018)
ISSN: 2077-0383
Popis: Background: Recent evidence suggested levels of aspartate aminotransferase (AST), alanine transaminase (ALT), and AST/ALT ratio (De-Ritis ratio) were associated with a worse outcome after acute myocardial infarction (AMI). However, their value for predicting long-term prognosis remained unknown. Therefore, we investigated the prognostic potential of transaminases on patient outcome after AMI from a long-term perspective. Methods: Data of a large AMI registry including 1355 consecutive patients were analyzed. The Cox regression hazard analysis was used to assess the impact of transaminases and the De-Ritis ratio on long-term mortality. Results: The median De-Ritis ratio for the entire study population was 1.5 (interquartile range [IQR]: 1.0–2.6). After a median follow-up time of 8.6 years, we found that AST (crude hazard ratio (HR) of 1.19 per 1-SD [95% confidence interval (CI): 1 .09–1.32
p <
0.001]) and De-Ritis ratio (crude HR of 1.31 per 1-SD [95% CI: 1.18–1.44
0.001]), but not ALT (p = 0.827), were significantly associated with long-term mortality after AMI. After adjustment for confounders independently, the De-Ritis ratio remained a strong and independent predictor for long-term mortality in the multivariate model with an adjusted HR of 1.23 per 1-SD (95% CI: 1.07–1.42
p = 0.004). Moreover, the De-Ritis ratio added prognostic value beyond N-terminal pro-B-Type Natriuretic Peptide, Troponin T, and Creatine Kinase. Conclusion: The De-Ritis ratio is a strong and independent predictor for long-term mortality after AMI. As a readily available biomarker in clinical routine, it might be used to identify patients at risk for fatal cardiovascular events and help to optimize secondary prevention strategies after AMI.
Databáze: OpenAIRE
Nepřihlášeným uživatelům se plný text nezobrazuje