医学
围手术期
心肌梗塞
心脏病学
内科学
接收机工作特性
肌钙蛋白T
置信区间
肌钙蛋白复合物
逻辑回归
冠状动脉疾病
外科
肌钙蛋白
作者
Rebecca Meister,Christian Puelacher,Noemi Glarner,Danielle Menosi Gualandro,Henrik Andersson,Mirjam Pargger,Gabrielle Huré,Georgiana Virant,Daniel Bolliger,Andreas Lampart,Luzius A. Steiner,Reka Hidvegi,Giovanna Lurati Buse,Christoph Kindler,Lorenz Gürke,Edin Mujagić,Stefan Schaeren,Martin Clauss,Didier Lardinois,Angelika Hammerer‐Lercher
标识
DOI:10.1093/ehjacc/zuad090
摘要
AIMS: Perioperative myocardial infarction/injury (PMI) is a surprisingly common yet difficult-to-predict cardiac complication in patients undergoing noncardiac surgery. We aimed to assess the incremental value of preoperative cardiac troponin (cTn) concentration in the prediction of PMI. METHODS AND RESULTS: Among prospectively recruited patients at high cardiovascular risk (age ≥65 years or ≥45 years with preexisting cardiovascular disease), PMI was defined as an absolute increase in high-sensitivity cTnT (hs-cTnT) concentration of ≥14 ng/L (the 99th percentile) above the preoperative concentration. Perioperative myocardial infarction/injury was centrally adjudicated by two independent cardiologists using serial measurements of hs-cTnT. Using logistic regression, three models were derived: Model 1 including patient- and procedure-related information, Model 2 adding routinely available laboratory values, and Model 3 further adding preoperative hs-cTnT concentration. Models were also compared vs. preoperative hs-cTnT alone. The findings were validated in two independent cohorts. Among 6944 patients, PMI occurred in 1058 patients (15.2%). The predictive accuracy as quantified by the area under the receiver operating characteristic curve was 0.73 [95% confidence interval (CI) 0.71-0.74] for Model 1, 0.75 (95% CI 0.74-0.77) for Model 2, 0.79 (95% CI 0.77-0.80) for Model 3, and 0.74 for hs-cTnT alone. Model 3 included 10 preoperative variables: age, body mass index, known coronary artery disease, metabolic equivalent >4, risk of surgery, emergency surgery, planned duration of surgery, haemoglobin, platelet count, and hs-cTnT. These findings were confirmed in both independent validation cohorts (n = 722 and n = 966). CONCLUSION: Preoperative cTn adds incremental value above patient- and procedure-related variables as well as routine laboratory variables in the prediction of PMI.
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