Department of Medicine.
Division of Rheumatology, Allergy and Immunology, Department of Medicine.
Curr Opin Allergy Clin Immunol. 2021 Aug 1;21(4):320-326. doi: 10.1097/ACI.0000000000000758.
Understand how the clinical history has been used to risk stratify patients reporting a beta-lactam allergy, both in clinical care pathways and predictive models.
Drug allergy clinical care pathways have emerged as a safe and effective method of stratifying patients with a reported beta-lactam allergy into risk categories, with 'low-risk' patients able to proceed straight to direct challenges or test doses. These methods have streamlined antibiotic stewardship policies and penicillin allergy de-labeling. However, how to define 'low-risk' has been subject to much debate. New research has developed predictive models that utilize the clinical history to assess a patient's true risk of beta-lactam allergy.
The clinical history has long been an essential part of drug allergy evaluation and has proven invaluable within the past decade in the development of drug allergy clinical pathways. Evidence-based predictive models that use the clinical history to assess a patient's true risk of beta-lactam allergy offer tremendous promise, but differ in crucial areas such as the populations they study, the predictor variables they use, and the ultimate accuracy they attain. These models highlight key aspects of the drug allergy history and pave the way for future large-scale research.
了解临床病史如何用于对报告β-内酰胺类药物过敏的患者进行风险分层,包括在临床护理路径和预测模型中。
药物过敏临床护理路径已成为一种安全有效的方法,可将报告β-内酰胺类药物过敏的患者分为风险类别,“低危”患者可直接进行直接挑战或测试剂量。这些方法简化了抗生素管理政策和青霉素过敏标签去除。然而,如何定义“低危”一直存在争议。新的研究已经开发出利用临床病史评估患者β-内酰胺类药物过敏真实风险的预测模型。
临床病史一直是药物过敏评估的重要组成部分,在过去十年中,在药物过敏临床路径的发展中证明了其不可或缺的价值。基于证据的预测模型利用临床病史评估患者β-内酰胺类药物过敏的真实风险具有巨大的潜力,但在研究人群、使用的预测变量以及最终达到的准确性等关键方面存在差异。这些模型突出了药物过敏史的关键方面,为未来的大规模研究铺平了道路。