关键词: Bayes theorem diagnostic error myocardial perfusion scan

Mesh : Female Humans Middle Aged Electrocardiography / methods Bayes Theorem Chest Pain / diagnosis etiology ST Elevation Myocardial Infarction Clinical Reasoning

来  源:   DOI:10.1515/dx-2022-0017

Abstract:
Diagnostic error is not uncommon and diagnostic accuracy can be improved with the use of problem representation, pre-test probability, and Bayesian analysis for improved clinical reasoning.
A 48-year-old female presented as a transfer from another Emergency Department (ED) to our ED with crushing, substernal pain associated with dyspnea, diaphoresis, nausea, and a tingling sensation down both arms with radiation to the back and neck. Troponins were elevated along with an abnormal electrocardiogram. A negative myocardial perfusion scan led to the patient\'s discharge. The patient presented to the ED 10 days later with an anterior ST-elevation myocardial infarction.
An overemphasis on a single testing modality led to diagnostic error and a severe event. The use of pre-test probabilities guided by history-taking can lead to improved interpretation of test results, ultimately improving diagnostic accuracy and preventing serious medical errors.
摘要:
目的:诊断错误并不少见,使用问题表示可以提高诊断准确性,预测试概率,和贝叶斯分析,以改进临床推理。
方法:一名48岁的女性因挤压从另一个急诊科(ED)转移到我们的ED,与呼吸困难相关的胸骨后疼痛,排汗,恶心,双臂有刺痛感,背部和颈部有辐射。肌钙蛋白升高,心电图异常。阴性心肌灌注扫描导致患者出院。10天后,患者出现前部ST段抬高型心肌梗死。
结论:过分强调单一测试模式会导致诊断错误和严重事件。使用以历史记录为指导的测试前概率可以改善测试结果的解释,最终提高诊断准确性并防止严重的医疗错误。
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