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Improving Risk Stratification for Patients With Type 2 Myocardial Infarction

医学 心肌梗塞 内科学 心脏病学 队列 心力衰竭 队列研究 比例危险模型 前瞻性队列研究 弗雷明翰风险评分 疾病
作者
Caelan Taggart,Karla Monterrubio‐Gómez,Andreas Roos,Jasper Boeddinghaus,Dorien M Kimenai,Erik Kadesjö,Anda Bularga,Ryan Wereski,Amy V. Ferry,Matthew T.H. Lowry,Atul Anand,Kuan Ken Lee,Dimitrios Doudesis,Ioanna Manolopoulou,Thomas Nestelberger,Luca Koechlin,Pedro López‐Ayala,Christian Eugen Mueller,Nicholas L. Mills,Catalina A. Vallejos
出处
期刊:Journal of the American College of Cardiology [Elsevier BV]
卷期号:81 (2): 156-168 被引量:26
标识
DOI:10.1016/j.jacc.2022.10.025
摘要

BACKGROUND: Despite poor cardiovascular outcomes, there are no dedicated, validated risk stratification tools to guide investigation or treatment in type 2 myocardial infarction. OBJECTIVES: The goal of this study was to derive and validate a risk stratification tool for the prediction of death or future myocardial infarction in patients with type 2 myocardial infarction. METHODS: The T2-risk score was developed in a prospective multicenter cohort of consecutive patients with type 2 myocardial infarction. Cox proportional hazards models were constructed for the primary outcome of myocardial infarction or death at 1 year using variables selected a priori based on clinical importance. Discrimination was assessed by area under the receiving-operating characteristic curve (AUC). Calibration was investigated graphically. The tool was validated in a single-center cohort of consecutive patients and in a multicenter cohort study from sites across Europe. RESULTS: There were 1,121, 250, and 253 patients in the derivation, single-center, and multicenter validation cohorts, with the primary outcome occurring in 27% (297 of 1,121), 26% (66 of 250), and 14% (35 of 253) of patients, respectively. The T2-risk score incorporating age, ischemic heart disease, heart failure, diabetes mellitus, myocardial ischemia on electrocardiogram, heart rate, anemia, estimated glomerular filtration rate, and maximal cardiac troponin concentration had good discrimination (AUC: 0.76; 95% CI: 0.73-0.79) for the primary outcome and was well calibrated. Discrimination was similar in the consecutive patient (AUC: 0.83; 95% CI: 0.77-0.88) and multicenter (AUC: 0.74; 95% CI: 0.64-0.83) cohorts. T2-risk provided improved discrimination over the Global Registry of Acute Coronary Events 2.0 risk score in all cohorts. CONCLUSIONS: The T2-risk score performed well in different health care settings and could help clinicians to prognosticate, as well as target investigation and preventative therapies more effectively. (High-Sensitivity Troponin in the Evaluation of Patients With Suspected Acute Coronary Syndrome [High-STEACS]; NCT01852123).
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