作者
Ruixuan Chen,Mingzhen Pang,Huapeng Yu,Fan Luo,Fan Fan Hou,Licong Su,Yanqin Li,Shiyu Zhou,Ruqi Xu,Qi Gao,Daojing Gan,Xin Xu,Sheng Nie,Fan Fan Hou,Hongxia Xu,Bi‐Cheng Liu,Jianping Weng,Chunbo Chen,Huafeng Liu,Qiongqiong Yang,Hua Li,Guisen Li,Qijun Wan,Yan Zha,Ying Hu,Gang Xu,Yongjun Shi,Yilun Zhou,Ying Tang,Mengchun Gong,Chen Wang,Dehui Liu,Pengli Luo,Xiang Li,Yi-Hua Bai
摘要
ABSTRACT Background The diagnosis of acute myocardial infarction (AMI) using high-sensitivity cardiac troponin T (hs-cTnT) remains challenging in patients with kidney dysfunction. Methods In this large, multicenter cohort study, a total of 20 912 adults who underwent coronary angiography were included. Kidney function–specific cut-off values of hs-cTnT were determined to improve the specificity without sacrificing sensitivity, as compared with that using traditional cut-off value (14 ng/L) in the normal kidney function group. The diagnostic accuracy of the novel cut-off values was validated in an independent validation cohort. Results In the derivation cohort (n = 12 900), 3247 patients had an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2. Even in the absence of AMI, 50.2% of participants with eGFR <60 mL/min/1.73 m2 had a hs-cTnT concentration ≥14 ng/L. Using 14 ng/L as the threshold of hs-cTnT for diagnosing AMI led to a significantly reduced specificity and positive predictive value in patients with kidney dysfunction, as compared with that in patients with normal kidney function. The kidney function–specific cut-off values were determined as 14, 18 and 48 ng/L for patients with eGFR >60, 60–30 and <30 mL/min/1.73 m2, respectively. Using the novel cut-off values, the specificities for diagnosing AMI in participants with different levels of kidney dysfunction were remarkably improved (from 9.1%–52.7% to 52.8–63.0%), without compromising sensitivity (96.6%–97.9%). Similar improvement of diagnostic accuracy was observed in the validation cohort (n = 8012). Conclusions The kidney function–specific cut-off values of hs-cTnT may help clinicians to accurately diagnose AMI in patients with kidney dysfunction and avoid the potential overtreatment in practice.