Drug Hypersensitivity Reactions Documented in Electronic Health Records within a Large Health System

被引:67
作者
Wong, Adrian [1 ,2 ]
Seger, Diane L. [2 ,3 ]
Lai, Kenneth H. [3 ,4 ]
Goss, Foster R. [5 ]
Blumenthal, Kimberly G. [6 ,7 ,8 ,9 ]
Zhou, Li [2 ,6 ]
机构
[1] MCPHS Univ, Dept Pharm Practice, Boston, MA USA
[2] Brigham & Womens Hosp, Div Gen Internal Med & Primary Care, 75 Francis St, Boston, MA 02115 USA
[3] Partners HealthCare, Clin & Qual Anal, Somerville, MA USA
[4] Brandeis Univ, Dept Comp Sci, Waltham, MA USA
[5] Univ Colorado, Dept Emergency Med, Aurora, CO USA
[6] Harvard Med Sch, Dept Med, Boston, MA 02145 USA
[7] Massachusetts Gen Hosp, Div Rheumatol Allergy & Immunol, Boston, MA 02114 USA
[8] Massachusetts Gen Hosp, Dept Med, Med Practice Evaluat Ctr, Boston, MA 02114 USA
[9] Massachusetts Gen Hosp, Edward P Lawrence Ctr Qual & Safety, Boston, MA 02114 USA
基金
美国医疗保健研究与质量局;
关键词
Adverse drug event; Drug allergy; Drug hypersensitivity; Electronic health record; Epidemiology; Safety; TOXIC EPIDERMAL NECROLYSIS; STEVENS-JOHNSON-SYNDROME; RISK-FACTORS; HOSPITALIZED-PATIENTS; INDUCED ANGIOEDEMA; CLINICAL-FEATURES; ERYTHEMA-NODOSUM; ALLERGY; EVENTS; PREVALENCE;
D O I
10.1016/j.jaip.2018.11.023
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
BACKGROUND: Hypersensitivity reactions (HSRs) are immunologic responses to drugs. Identification of HSRs documented in the electronic health record (EHR) is important for patient safety. OBJECTIVE: To examine HSR epidemiology using longitudinal EHR data from a large United States health care system. METHODS: Patient demographic information and drug allergy data were obtained from the Partners Enterprise-wide Allergy Repository for 2 large tertiary care hospitals from 2000 to 2013. Drug-induced HSRs were categorized into immediate and delayed HSRs based on typical phenotypes. Causative drugs and drug groups were assessed. The prevalence of HSRs was determined, and sex and racial differences were analyzed. RESULTS: Among 2.7 million patients, 377,474 (13.8%) reported drug-induced HSRs, of whom 70.3% were female and 77.5% were white. A total of 580,456 HSRs were reported, of which 53.1% were immediate reaction phenotypes. Common immediate HSRs included hives (48.8%), itching (15.0%), and angioedema (14.1%). Delayed HSR phenotypes (46.9%) were largely rash (99.0%). Penicillins were associated with the most immediate (33.0%) and delayed (39.0%) HSRs. Although most HSRs were more prevalent in females and white patients, notable differences were identified for certain rare HSRs including acute interstitial nephritis, which appeared more commonly in males (0.02% vs 0.01%, P < .001). Asian patients had more fixed drug eruptions (0.007% vs 0.002%, P = .021) and severe cutaneous adverse reactions (0.05% vs 0.04%, P < .001). CONCLUSIONS: Drug HSRs were reported in 13.8% of patients. Almost one-half of reported immediate HSR phenotypes were hives, and almost all reported delayed HSR phenotypes were rash. HSRs largely affected female and white patients, but differences were identified for specific rare HSRs. (C) 2018 American Academy of Allergy, Asthma & Immunology
引用
收藏
页码:1253 / +
页数:11
相关论文
共 50 条
[41]   Citywide quality of health information system through text mining of electronic health records [J].
Anastasia A. Funkner ;
Michil P. Egorov ;
Sergey A. Fokin ;
Gennady M. Orlov ;
Sergey V. Kovalchuk .
Applied Network Science, 6
[42]   Structured override reasons for drug-drug interaction alerts in electronic health records [J].
Wright, Adam ;
McEvoy, Dustin S. ;
Aaron, Skye ;
McCoy, Allison B. ;
Amato, Mary G. ;
Kim, Hyun ;
Ai, Angela ;
Cimino, James J. ;
Desai, Bimal R. ;
El-Kareh, Robert ;
Galanter, William ;
Longhurst, Christopher A. ;
Malhotra, Sameer ;
Radecki, Ryan P. ;
Samal, Lipika ;
Schreiber, Richard ;
Shelov, Eric ;
Sirajuddin, Anwar Mohammad ;
Sittig, Dean F. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2019, 26 (10) :934-942
[43]   Feasibility of Prioritizing Drug-Drug-Event Associations Found in Electronic Health Records [J].
Banda, Juan M. ;
Callahan, Alison ;
Winnenburg, Rainer ;
Strasberg, Howard R. ;
Cami, Aurel ;
Reis, Ben Y. ;
Vilar, Santiago ;
Hripcsak, George ;
Dumontier, Michel ;
Shah, Nigam Haresh .
DRUG SAFETY, 2016, 39 (01) :45-57
[44]   Electronic health records identify timely trends in childhood mental health conditions [J].
Elia, Josephine ;
Pajer, Kathleen ;
Prasad, Raghuram ;
Pumariega, Andres ;
Maltenfort, Mitchell ;
Utidjian, Levon ;
Shenkman, Elizabeth ;
Kelleher, Kelly ;
Rao, Suchitra ;
Margolis, Peter A. ;
Christakis, Dimitri A. ;
Hardan, Antonio Y. ;
Ballard, Rachel ;
Forrest, Christopher B. .
CHILD AND ADOLESCENT PSYCHIATRY AND MENTAL HEALTH, 2023, 17 (01)
[45]   The use of open source electronic health records within the federal safety net [J].
Goldwater, Jason C. ;
Kwon, Nancy J. ;
Nathanson, Ashley ;
Muckle, Alison E. ;
Brown, Alexa ;
Cornejo, Kerri .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2014, 21 (02) :280-284
[46]   Heterogeneity of Drug Allergies and Reaction Lists in Two US Health Care Systems' Electronic Health Records [J].
Yerneni, Sharmitha ;
Shah, Sonam N. ;
Blackley, Suzanne V. ;
Ortega, Carlos A. ;
Blumenthal, Kimberly G. ;
Goss, Foster ;
Seger, Diane L. ;
Wickner, Paige G. ;
Mancini, Christian M. ;
Bates, David W. ;
Zhou, Li .
APPLIED CLINICAL INFORMATICS, 2022, 13 (03) :741-751
[47]   Electronic health records, mobile health, and the challenge of improving global health [J].
Faulkenberry, J. Grey ;
Luberti, Anthony ;
Craig, Sansanee .
CURRENT PROBLEMS IN PEDIATRIC AND ADOLESCENT HEALTH CARE, 2022, 52 (01)
[48]   Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study [J].
Xie, Fagen ;
Zeiger, Robert S. ;
Saparudin, Mary Marycania ;
Al-Salman, Sahar ;
Puttock, Eric ;
Crawford, William ;
Schatz, Michael ;
Xu, Stanley ;
Vollmer, William M. ;
Chen, Wansu .
JMIR AI, 2025, 4
[49]   Improving Allergy Documentation: A Retrospective Electronic Health Record System-Wide Patient Safety Initiative [J].
Li, Lily ;
Foer, Dinah ;
Hallisey, Robert K. ;
Hanson, Carol ;
McKee, Ashley E. ;
Zuccotti, Gianna ;
Mort, Elizabeth A. ;
Sequist, Thomas D. ;
Kaufman, Nathan E. ;
Seguin, Claire M. ;
Kachalia, Allen ;
Blumenthal, Kimberly G. ;
Wickner, Paige G. .
JOURNAL OF PATIENT SAFETY, 2022, 18 (01) :E108-E114
[50]   Meaningful Use of Electronic Health Records [J].
Thurston, Janet .
JNP-JOURNAL FOR NURSE PRACTITIONERS, 2014, 10 (07) :510-513