The Use of the Medical Dictionary for Regulatory Activities in the Identification of Mitochondrial Dysfunction in HIV-Infected Children.

Miriam Chernoff, Heather Ford-Chatterton, Marilyn J Crain
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Abstract

Objective: To demonstrate the utility of a medical terminology-based method for identifying cases of possible mitochondrial dysfunction (MD) in a large cohort of youths with perinatal HIV infection and to describe the scoring algorithms.

Methods: Medical Dictionary for Regulatory Activities (MedDRA)® version 6 terminology was used to query clinical criteria for mitochondrial dysfunction by two published classifications, the Enquête Périnatale Française (EPF) and the Mitochondrial Disease Classification (MDC). Data from 2,931 participants with perinatal HIV infection on PACTG 219/219C were analyzed. Data were qualified for severity and persistence, after which clinical reviews of MedDRA-coded and other study data were performed.

Results: Of 14,000 data records captured by the EPF MedDRA query, there were 3,331 singular events. Of 18,000 captured by the MDC query, there were 3,841 events. Ten clinicians blindly reviewed non MedDRA-coded supporting data for 15 separate clinical conditions. We used the Statistical Analysis System (SAS) language to code scoring algorithms. 768 participants (26%) met the EPF case definition of possible MD; 694 (24%) met the MDC case definition, and 480 (16%) met both definitions.

Limitations: Subjective application of codes could have affected our results. MedDRA terminology does not include indicators of severity or persistence. Version 6.0 of MedDRA did not include Standard MedDRA Queries, which would have reduced the time needed to map MedDRA terms to EPF and MDC criteria.

Conclusion: Together with a computer-coded scoring algorithm, MedDRA terminology enabled identification of potential MD based on clinical data from almost 3000 children with substantially less effort than a case by case review. The article is accessible to readers with a background in statistical hypothesis testing. An exposure to public health issues is useful but not strictly necessary.

在鉴定hiv感染儿童线粒体功能障碍中使用医学词典进行调节活动。
目的:展示一种基于医学术语的方法在一大批围产期HIV感染的青少年中识别可能的线粒体功能障碍(MD)病例的实用性,并描述评分算法。方法:使用调节活动医学词典(MedDRA)®第6版术语,通过两种已发表的分类,Enquête p )和线粒体疾病分类(MDC),查询线粒体功能障碍的临床标准。对2931名围产期HIV感染患者的PACTG 219/219C数据进行了分析。数据的严重程度和持续性合格,之后对meddra编码和其他研究数据进行临床审查。结果:在EPF MedDRA查询捕获的14,000条数据记录中,有3,331个奇异事件。在MDC查询捕获的18,000个事件中,有3,841个事件。10名临床医生盲目审查了15个独立临床条件的非meddra编码支持数据。我们使用统计分析系统(SAS)语言编写评分算法。768名参与者(26%)符合EPF对可能MD的病例定义;694例(24%)符合MDC案例定义,480例(16%)同时符合两个定义。局限性:代码的主观应用可能会影响我们的结果。MedDRA术语不包括严重程度或持久性指标。MedDRA的6.0版本不包括标准MedDRA查询,这将减少将MedDRA术语映射到EPF和MDC标准所需的时间。结论:与计算机编码评分算法一起,MedDRA术语能够根据来自近3000名儿童的临床数据识别潜在的MD,比逐案审查要少得多。具有统计假设检验背景的读者可以访问这篇文章。接触公共卫生问题是有用的,但不是绝对必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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