• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Identification of Inpatient Allergic Drug Reactions Using ICD-9-CM Codes.利用 ICD-9-CM 编码识别住院患者过敏药物反应。
J Allergy Clin Immunol Pract. 2019 Jan;7(1):259-264.e1. doi: 10.1016/j.jaip.2018.07.022. Epub 2018 Jul 31.
2
Utility of ICD-9-CM Codes for Identification of Allergic Drug Reactions.ICD-9-CM编码在识别药物过敏反应中的效用。
J Allergy Clin Immunol Pract. 2016 Jan-Feb;4(1):114-9.e1. doi: 10.1016/j.jaip.2015.07.013. Epub 2015 Sep 12.
3
Natural Language Processing Combined with ICD-9-CM Codes as a Novel Method to Study the Epidemiology of Allergic Drug Reactions.自然语言处理结合 ICD-9-CM 代码作为研究过敏性药物反应流行病学的新方法。
J Allergy Clin Immunol Pract. 2020 Mar;8(3):1032-1038.e1. doi: 10.1016/j.jaip.2019.12.007. Epub 2019 Dec 16.
4
Suspected acute allergic reactions: analysis of admissions to the Emergency Department of the AOU Maggiore della Carità Hospital in Novara from 2003 to 2007.疑似急性过敏反应:对2003年至2007年诺瓦拉马焦雷-德拉卡里塔医院急诊科收治病例的分析
Eur Ann Allergy Clin Immunol. 2008 Dec;40(4):122-9.
5
ICD-9-CM coding of emergency department visits for food and insect sting allergy.急诊科因食物和昆虫叮咬过敏就诊的ICD-9-CM编码
Ann Epidemiol. 2006 Sep;16(9):696-700. doi: 10.1016/j.annepidem.2005.12.003. Epub 2006 Mar 3.
6
Retrospective study of drug-induced anaphylaxis treated in the emergency department or hospital: patient characteristics, management, and 1-year follow-up.回顾性研究在急诊科或医院治疗的药物性过敏反应:患者特征、处理方法和 1 年随访。
J Allergy Clin Immunol Pract. 2014 Jan-Feb;2(1):46-51. doi: 10.1016/j.jaip.2013.08.012. Epub 2013 Oct 23.
7
Use of ICD-10-CM T codes in hospital claims data to identify adverse drug events in Taiwan.在医院理赔数据中使用 ICD-10-CM T 代码来识别台湾的药物不良事件。
J Clin Pharm Ther. 2021 Apr;46(2):476-483. doi: 10.1111/jcpt.13308. Epub 2020 Nov 18.
8
Medical chart validation of inpatient diagnosis codes for transfusion-related acute lung injury 2013-2015.2013-2015 年输血相关急性肺损伤住院诊断编码的医学图表验证。
Transfusion. 2021 Mar;61(3):754-766. doi: 10.1111/trf.16251. Epub 2021 Jan 27.
9
Positive predictive value of ICD-10 codes to detect anaphylaxis due to vaccination: A validation study.ICD-10 编码对疫苗接种引起的过敏反应的阳性预测值:一项验证研究。
Pharmacoepidemiol Drug Saf. 2019 Oct;28(10):1353-1360. doi: 10.1002/pds.4877. Epub 2019 Aug 23.
10
Use of International Classification of Diseases, Ninth Revision, Clinical Modification codes and medication use data to identify nosocomial Clostridium difficile infection.利用国际疾病分类,第九修订版,临床修正码和药物使用数据来识别医院获得性艰难梭菌感染。
Infect Control Hosp Epidemiol. 2009 Nov;30(11):1070-6. doi: 10.1086/606164.

引用本文的文献

1
Development of a machine learning algorithm based on administrative claims data for identification of ED anaphylaxis patient visits.基于行政索赔数据开发用于识别急诊科过敏反应患者就诊情况的机器学习算法。
J Allergy Clin Immunol Glob. 2022 Oct 17;2(1):61-68. doi: 10.1016/j.jacig.2022.09.002. eCollection 2023 Feb.
2
A Novel Informatics Tool to Detect Periprocedural Antibiotic Allergy Adverse Events for Near Real-time Surveillance to Support Audit and Feedback.一种用于检测围手术期抗生素过敏不良事件的新型信息学工具,用于支持实时监测和审核反馈。
JAMA Netw Open. 2023 May 1;6(5):e2313964. doi: 10.1001/jamanetworkopen.2023.13964.
3
Incidence and Economic Burden of Adverse Drug Reactions in Hospitalization: A Prospective Study in Korea.住院患者药物不良反应的发生率和经济负担:韩国的一项前瞻性研究。
J Korean Med Sci. 2023 Feb 27;38(8):e56. doi: 10.3346/jkms.2023.38.e56.
4
Patient Characteristics Associated With Reactions to Mrgprx2-Activating Drugs in an Electronic Health Record-Linked Biobank.与 Mrgprx2 激活药物反应相关的患者特征的电子健康记录相关生物库。
J Allergy Clin Immunol Pract. 2023 Feb;11(2):492-499.e2. doi: 10.1016/j.jaip.2022.11.001. Epub 2022 Nov 7.
5
Adverse Drug Events Related to Common Asthma Medications in US Hospitalized Children, 2000-2016.2000 - 2016年美国住院儿童中与常见哮喘药物相关的药物不良事件
Drugs Real World Outcomes. 2022 Dec;9(4):667-679. doi: 10.1007/s40801-022-00304-8. Epub 2022 Jun 8.
6
The Use of Electronic Health Records to Study Drug-Induced Hypersensitivity Reactions from 2000 to 2021: A Systematic Review.从 2000 年到 2021 年,利用电子健康记录研究药物诱导的超敏反应:系统评价。
Immunol Allergy Clin North Am. 2022 May;42(2):453-497. doi: 10.1016/j.iac.2022.01.004. Epub 2022 Mar 31.
7
Antibiotic Use in Patients With β-Lactam Allergies and Pneumonia: Impact of an Antibiotic Side Chain-Based Cross-Reactivity Chart Combined With Enhanced Allergy Assessment.β-内酰胺类过敏患者与肺炎患者的抗生素使用:基于抗生素侧链交叉反应性图表并结合强化过敏评估的影响
Open Forum Infect Dis. 2021 Nov 17;9(1):ofab544. doi: 10.1093/ofid/ofab544. eCollection 2022 Jan.
8
Trends in Emergency Department Visits and Hospitalizations for Acute Allergic Reactions and Anaphylaxis Among US Older Adults: 2006-2014.美国老年人急性过敏反应和过敏症急诊就诊和住院趋势:2006-2014 年。
J Allergy Clin Immunol Pract. 2021 Jul;9(7):2831-2843.e8. doi: 10.1016/j.jaip.2021.03.032. Epub 2021 Mar 30.
9
Natural Language Processing Combined with ICD-9-CM Codes as a Novel Method to Study the Epidemiology of Allergic Drug Reactions.自然语言处理结合 ICD-9-CM 代码作为研究过敏性药物反应流行病学的新方法。
J Allergy Clin Immunol Pract. 2020 Mar;8(3):1032-1038.e1. doi: 10.1016/j.jaip.2019.12.007. Epub 2019 Dec 16.

本文引用的文献

1
SJS/TEN 2017: Building Multidisciplinary Networks to Drive Science and Translation.SJS/TEN 2017:建立多学科网络,推动科学和转化。
J Allergy Clin Immunol Pract. 2018 Jan-Feb;6(1):38-69. doi: 10.1016/j.jaip.2017.11.023.
2
Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.用于捕获和标准化非结构化临床信息的自然语言处理系统:一项系统综述。
J Biomed Inform. 2017 Sep;73:14-29. doi: 10.1016/j.jbi.2017.07.012. Epub 2017 Jul 17.
3
Natural Language Processing for Asthma Ascertainment in Different Practice Settings.不同实践环境下的哮喘确定的自然语言处理。
J Allergy Clin Immunol Pract. 2018 Jan-Feb;6(1):126-131. doi: 10.1016/j.jaip.2017.04.041. Epub 2017 Jun 19.
4
Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.将自然语言处理专业知识与患者安全事件审查委员会相结合,以改进用药事件分析。
Int J Med Inform. 2017 Aug;104:120-125. doi: 10.1016/j.ijmedinf.2017.05.005. Epub 2017 May 11.
5
Epidemiology of ACE Inhibitor Angioedema Utilizing a Large Electronic Health Record.利用大型电子健康记录研究血管紧张素转换酶抑制剂所致血管性水肿的流行病学
J Allergy Clin Immunol Pract. 2017 May-Jun;5(3):744-749. doi: 10.1016/j.jaip.2017.02.018. Epub 2017 Apr 1.
6
Large-scale identification of patients with cerebral aneurysms using natural language processing.使用自然语言处理技术大规模识别脑动脉瘤患者
Neurology. 2017 Jan 10;88(2):164-168. doi: 10.1212/WNL.0000000000003490. Epub 2016 Dec 7.
7
The burden of angioedema on United States emergency departments: 2006-2010.2006 - 2010年血管性水肿给美国急诊科带来的负担
Laryngoscope. 2017 Apr;127(4):828-834. doi: 10.1002/lary.26336. Epub 2016 Nov 15.
8
Defining a Patient Population With Cirrhosis: An Automated Algorithm With Natural Language Processing.定义肝硬化患者群体:一种基于自然语言处理的自动化算法
J Clin Gastroenterol. 2016 Nov/Dec;50(10):889-894. doi: 10.1097/MCG.0000000000000583.
9
Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.构建一个自然语言处理工具,用于从急诊科记录中识别高度怀疑患有川崎病的患者。
Acad Emerg Med. 2016 May;23(5):628-36. doi: 10.1111/acem.12925. Epub 2016 Apr 13.
10
Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis: An Update.史蒂文斯-约翰逊综合征和中毒性表皮坏死松解症:最新进展
Am J Clin Dermatol. 2015 Dec;16(6):475-93. doi: 10.1007/s40257-015-0158-0.

利用 ICD-9-CM 编码识别住院患者过敏药物反应。

Identification of Inpatient Allergic Drug Reactions Using ICD-9-CM Codes.

机构信息

Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Mass; Harvard Medical School, Boston, Mass.

Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Mass; Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, Mass.

出版信息

J Allergy Clin Immunol Pract. 2019 Jan;7(1):259-264.e1. doi: 10.1016/j.jaip.2018.07.022. Epub 2018 Jul 31.

DOI:10.1016/j.jaip.2018.07.022
PMID:30075337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7213838/
Abstract

BACKGROUND

The study of allergic drug reactions has been limited because of challenges in identifying and confirming cases.

OBJECTIVE

To determine the utility of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for identifying inpatient allergic drug reactions and to compare findings with previous data in the emergency department.

METHODS

By reviewing medical records of inpatients with ICD-9-CM codes and E codes suggestive of allergic drug reactions at a large urban academic medical center, we determined codes that yielded the most drug allergy cases and identified culprit drugs.

RESULTS

In 2005 and 2010, 3337 and 5282 possible allergic drug reactions during hospitalization were identified and 1367 were reviewed. Allergic drug reactions were found in 409 (30.1%) of the reviewed charts, with 172 (29.7%) in 2005 and 237 (30.5%) in 2010. The codes that identified the highest percentage of true allergic drug reactions were dermatitis due to drug (693.0), allergic urticaria (708), angioneurotic edema (995.1), and anaphylaxis (995.0). Antibiotics were the most common cause (44.4%); however, multiple drug classes were often identified as likely culprit drugs.

CONCLUSION

Specific ICD-9-CM codes can identify patients with allergic drug reactions, with antibiotics accounting for almost half of true reactions. Most patients with codes 693.0, 995.1, 708, and 995.0 had allergic drug reactions, with 693.0 as the highest yield code. An aggregate of multiple specific codes consistently identifies a cohort of patients with confirmed allergic drug reactions.

摘要

背景

由于识别和确认病例的挑战,过敏药物反应的研究受到限制。

目的

确定国际疾病分类,第九修订版,临床修正(ICD-9-CM)代码用于识别住院过敏药物反应的效用,并将结果与之前在急诊室的数据进行比较。

方法

通过审查大型城市学术医疗中心的 ICD-9-CM 代码和提示过敏药物反应的 E 代码的住院患者的医疗记录,我们确定了产生最多药物过敏病例的代码,并确定了罪魁祸首药物。

结果

在 2005 年和 2010 年,分别确定了 3337 例和 5282 例可能的住院过敏药物反应,并对 1367 例进行了回顾。在审查的图表中发现过敏药物反应 409 例(30.1%),其中 2005 年为 172 例(29.7%),2010 年为 237 例(30.5%)。识别出最高比例的真实过敏药物反应的代码是药物性皮炎(693.0),过敏性荨麻疹(708),血管神经性水肿(995.1)和过敏反应(995.0)。抗生素是最常见的原因(44.4%); 然而,通常确定多种药物类别为可能的罪魁祸首药物。

结论

特定的 ICD-9-CM 代码可以识别出过敏药物反应的患者,抗生素占真实反应的近一半。大多数具有代码 693.0,995.1,708 和 995.0 的患者有过敏药物反应,其中 693.0 是最高产量代码。多个特定代码的总和可确定一组确诊的过敏药物反应患者。