医学
急性肾损伤
心肌梗塞
内科学
射血分数
肾功能
泌尿系统
心脏病学
肌酐
经皮冠状动脉介入治疗
胃肠病学
心力衰竭
作者
Keisuke Kojima,Akihito Ohgaku,Hidesato Fujito,Yutaka Koyama,Riku Arai,Yasunari Ebuchi,Masaki Monden,Norio Takei,Tetsuo Tamaki,Nobuhiro Murata,Daisuke Fukamachi,Yasuo Okumura
标识
DOI:10.1093/eurheartj/ehab724.1372
摘要
Abstract Background Urinary liver-type fatty acid-binding protein (L-FABP) has been known as a candidate biomarker for early detection of acute kidney injury (AKI). It has also been suggested to have an effective predictive value for cardiovascular mortality in patients. Therefore, this study aimed to examine the ability of urinary L-FABP in predicting AKI and future cardiovascular events in patients with acute myocardial infarction (AMI). Methods We evaluated consecutive 258 patients with AMI. Urinary L-FABP was measured at admission and a 2-year follow-up was performed. AKI was defined as an increase of >0.3 mg/dl in serum creatinine level within 2 days after emergency percutaneous coronary intervention. The composite endpoint was cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Results AKI was detected in 20 patients (7.8%). Patients with AKI had significantly higher urinary L-FABP levels (68.0 μg/gCr vs 3.1 μg/gCr, p<0.001) compared to those with non-AKI. Receiver operating characteristic analysis showed urinary L-FABP levels exhibited 85.7% sensitivity and 96.0% specificity, at a cutoff value of 29.7 μg/gCr. We used propensity score analyses to balance measurable confounders between patients with and without AKI, including age, left ventricular ejection fraction, an inflammation marker, renal function, and albuminuria. In logistic regression adjustment with the propensity score, urinary L-FABP level of >29.7 μg/gCr was an independent predictor of AKI (p=0.001). Furthermore, high urinary L-FABP (>29.7 μg/gCr) on admission correlated with an increased risk of the composite endpoints during 2-year follow-up in the Kaplan–Meier analysis (p<0.001). Conclusions Urinary L-FABP level may be a useful biomarker for predicting not only the onset of AKI but also adverse cardiovascular events in patients with AMI. Funding Acknowledgement Type of funding sources: None.
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