Renal Dysfunction on Admission, Worsening Renal Function, and Severity of Acute Kidney Injury Predict 2-Year Mortality in Patients With Acute Myocardial Infarction

被引:33
作者
Hsieh, Ming-Jer [1 ]
Chen, Yung-Chang [2 ]
Chen, Chun-Chi [1 ]
Wang, Chun-Li [1 ]
Wu, Lung-Sheng [1 ]
Wang, Chun-Chieh [1 ]
机构
[1] Chang Gung Univ, Coll Med, Chang Gung Mem Hosp, Dept Cardiol, Tao Yuan, Taiwan
[2] Chang Gung Univ, Coll Med, Chang Gung Mem Hosp, Dept Nephrol, Tao Yuan, Taiwan
关键词
Acute kidney injury; Acute myocardial infarction; Long-term outcome; RIFLE; CRITICALLY-ILL PATIENTS; LONG-TERM MORTALITY; ACUTE HEART-FAILURE; RIFLE CLASSIFICATION; HOSPITAL MORTALITY; SERUM CREATININE; RISK; OUTCOMES; INTERVENTION; BIOMARKERS;
D O I
10.1253/circj.CJ-12-0539
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
Background: Recent studies have proven that initial renal dysfunction and worsening renal function during hospitalization can predict the clinical outcome of patients with acute myocardial infarction (AMI). There is limited study regarding acute kidney injury (AKI) by the RIFLE classification (Risk of renal failure, Injury to the kidney, Failure of kidney function, Loss of kidney function, and End-stage renal failure) to assess the outcome of AMI survivors. Methods and Results: During a mean follow-up period of 635.3 +/- 204.9 days, the 2-year mortality rate was 10.6% in 613 AMI patients who survived to discharge. Adjusted Cox regression analysis revealed that left ventricular dysfunction (<40%) [hazard ratio (HR), 2.83; 95% confidence interval (Cl), 1.11-7.20; P=0.029], estimated glomerular filtration rate <60 ml.min(-1) 1.73 m(-2) on admission (HR, 4.01; 95% CI, 1.51-10.62; P=0.005), and AKI severity by RIFLE classification during first week after hospitalization (Injury: HR, 8.11; 95% Cl, 2.53-26.05; P=0.001; Failure: HR, 19.28; 95% Cl, 2.24-166.26; P=0.007) were independent predictors of 2-year mortality. Conclusions: Independent of initial renal dysfunction on admission, the AKI severity by RIFLE classification may be useful in establishing the hospital discharge risk score for predicting long-term mortality in AMI patients who survive to discharge. (Circ J 2013; 77: 217-223)
引用
收藏
页码:217 / 223
页数:7
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