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医生基于临床信息鉴别1型和2型心肌梗死的准确性。

Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information.

作者信息

Borges Flavia K, Sheth Tej, Patel Ameen, Marcucci Maura, Yung Terence, Langer Thomas, Alboim Carolina, Polanczyk Carisi Anne, Germini Federico, Azeredo-da-Silva Andre Ferreira, Sloan Erin, Kaila Kendeep, Ree Ron, Bertoletti Alessandra, Vedovati Maria Cristina, Galzerano Antonio, Spence Jessica, Devereaux P J

机构信息

Department of Perioperative Medicine, Population Health Research Institute, Hamilton, Ontario, Canada.

Department of Medicine, McMaster University, Hamilton, Ontario, Canada.

出版信息

CJC Open. 2020 Jul 17;2(6):577-584. doi: 10.1016/j.cjco.2020.07.009. eCollection 2020 Nov.

Abstract

BACKGROUND

Physicians commonly judge whether a myocardial infarction (MI) is type 1 (thrombotic) vs type 2 (supply/demand mismatch) based on clinical information. Little is known about the accuracy of physicians' clinical judgement in this regard. We aimed to determine the accuracy of physicians' judgement in the classification of type 1 vs type 2 MI in perioperative and nonoperative settings.

METHODS

We performed an online survey using cases from the tical Coherence omographic aging of Thromb (OPTIMUS) Study, which investigated the prevalence of a culprit lesion thrombus based on intracoronary optical coherence tomography (OCT) in patients experiencing MI. Four MI cases, 2 perioperative and 2 nonoperative, were selected randomly, stratified by etiology. Physicians were provided with the patient's medical history, laboratory parameters, and electrocardiograms. Physicians did not have access to intracoronary OCT results. The primary outcome was the accuracy of physicians' judgement of MI etiology, measured as raw agreement between physicians and intracoronary OCT findings. Fleiss' kappa and Gwet's AC1 were calculated to correct for chance.

RESULTS

The response rate was 57% (308 of 536). Respondents were 62% male; median age was 45 years (standard deviation ± 11); 45% had been in practice for > 15 years. Respondents' overall accuracy for MI etiology was 60% (95% confidence interval [CI] 57%-63%), including 63% (95% CI 60%-68%) for nonoperative cases, and 56% (95% CI 52%-60%) for perioperative cases. Overall chance-corrected agreement was poor (kappa = 0.05), consistent across specialties and clinical scenarios.

CONCLUSIONS

Physician accuracy in determining MI etiology based on clinical information is poor. Physicians should consider results from other testing, such as invasive coronary angiography, when determining MI etiology.

摘要

背景

医生通常根据临床信息判断心肌梗死(MI)是1型(血栓性)还是2型(供需不匹配)。关于医生在这方面临床判断的准确性知之甚少。我们旨在确定医生在围手术期和非手术环境中对1型与2型MI分类判断的准确性。

方法

我们使用血栓光学相干断层扫描老化(OPTIMUS)研究中的病例进行了一项在线调查,该研究基于冠状动脉内光学相干断层扫描(OCT)调查了MI患者中罪犯病变血栓的患病率。随机选择4例MI病例,其中2例围手术期病例和2例非手术期病例,按病因分层。向医生提供患者的病史、实验室参数和心电图。医生无法获取冠状动脉内OCT结果。主要结局是医生对MI病因判断的准确性,以医生与冠状动脉内OCT结果之间的原始一致性来衡量。计算Fleiss卡方和Gwet's AC1以校正机遇因素。

结果

回复率为57%(536例中的308例)。受访者中男性占62%;中位年龄为45岁(标准差±11);45%的人从业超过15年。受访者对MI病因的总体判断准确率为60%(95%置信区间[CI]为57%-63%),其中非手术期病例为63%(95%CI为60%-68%),围手术期病例为56%(95%CI为52%-60%)。总体校正机遇后的一致性较差(kappa = 0.05),在各专业和临床场景中均一致。

结论

医生基于临床信息确定MI病因的准确性较差。医生在确定MI病因时应考虑其他检查结果,如有创冠状动脉造影。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193d/7711010/333dc8e75f32/gr1.jpg

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