Role of clinical history in beta-lactam hypersensitivity

被引:15
作者
Plager, Jessica [1 ]
Judd, Allen [2 ]
Blumenthal, Kimberly [3 ,4 ,5 ]
机构
[1] Massachusetts Gen Hosp, Dept Med, Boston, MA 02114 USA
[2] Massachusetts Gen Hosp, Dept Med, Div Rheumatol Allergy & Immunol, Boston, MA 02114 USA
[3] Massachusetts Gen Hosp, Med Practice Evaluat Ctr, Boston, MA 02114 USA
[4] Massachusetts Gen Hosp, Mongan Inst, Boston, MA 02114 USA
[5] Harvard Med Sch, Boston, MA 02115 USA
关键词
allergy; antibiotic stewardship; beta-lactam; clinical history; delabeling; drug challenge; pathway; penicillin; predictive model; skin test; test dose; PENICILLIN ALLERGY; DRUG ALLERGY; CHALLENGE; IMPACT; MANAGEMENT;
D O I
10.1097/ACI.0000000000000758
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
Purpose of Review 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. Recent findings 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.
引用
收藏
页码:320 / 326
页数:7
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