Suppr超能文献

将ICD - 10和ICD - 10 - CM编码映射到疾病编码:工作流程开发与初步评估

Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation.

作者信息

Wu Patrick, Gifford Aliya, Meng Xiangrui, Li Xue, Campbell Harry, Varley Tim, Zhao Juan, Carroll Robert, Bastarache Lisa, Denny Joshua C, Theodoratou Evropi, Wei Wei-Qi

机构信息

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.

Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN, United States.

出版信息

JMIR Med Inform. 2019 Nov 29;7(4):e14325. doi: 10.2196/14325.

Abstract

BACKGROUND

The phecode system was built upon the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association studies (PheWAS) using the electronic health record (EHR).

OBJECTIVE

The goal of this paper was to develop and perform an initial evaluation of maps from the International Classification of Diseases, 10th Revision (ICD-10) and the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes to phecodes.

METHODS

We mapped ICD-10 and ICD-10-CM codes to phecodes using a number of methods and resources, such as concept relationships and explicit mappings from the Centers for Medicare & Medicaid Services, the Unified Medical Language System, Observational Health Data Sciences and Informatics, Systematized Nomenclature of Medicine-Clinical Terms, and the National Library of Medicine. We assessed the coverage of the maps in two databases: Vanderbilt University Medical Center (VUMC) using ICD-10-CM and the UK Biobank (UKBB) using ICD-10. We assessed the fidelity of the ICD-10-CM map in comparison to the gold-standard ICD-9-CM phecode map by investigating phenotype reproducibility and conducting a PheWAS.

RESULTS

We mapped >75% of ICD-10 and ICD-10-CM codes to phecodes. Of the unique codes observed in the UKBB (ICD-10) and VUMC (ICD-10-CM) cohorts, >90% were mapped to phecodes. We observed 70-75% reproducibility for chronic diseases and <10% for an acute disease for phenotypes sourced from the ICD-10-CM phecode map. Using the ICD-9-CM and ICD-10-CM maps, we conducted a PheWAS with a Lipoprotein(a) genetic variant, rs10455872, which replicated two known genotype-phenotype associations with similar effect sizes: coronary atherosclerosis (ICD-9-CM: P<.001; odds ratio (OR) 1.60 [95% CI 1.43-1.80] vs ICD-10-CM: P<.001; OR 1.60 [95% CI 1.43-1.80]) and chronic ischemic heart disease (ICD-9-CM: P<.001; OR 1.56 [95% CI 1.35-1.79] vs ICD-10-CM: P<.001; OR 1.47 [95% CI 1.22-1.77]).

CONCLUSIONS

This study introduces the beta versions of ICD-10 and ICD-10-CM to phecode maps that enable researchers to leverage accumulated ICD-10 and ICD-10-CM data for PheWAS in the EHR.

摘要

背景

phecode系统基于国际疾病分类第九版临床修订本(ICD - 9 - CM)构建,用于利用电子健康记录(EHR)进行全表型关联研究(PheWAS)。

目的

本文的目标是开发并初步评估从国际疾病分类第十版(ICD - 10)和国际疾病分类第十版临床修订本(ICD - 10 - CM)编码到phecode的映射。

方法

我们使用多种方法和资源将ICD - 10和ICD - 10 - CM编码映射到phecode,这些方法和资源包括概念关系以及来自医疗保险和医疗补助服务中心、统一医学语言系统、观察性健康数据科学与信息学、医学系统命名法 - 临床术语以及国立医学图书馆的显式映射。我们在两个数据库中评估了映射的覆盖范围:使用ICD - 10 - CM的范德比尔特大学医学中心(VUMC)和使用ICD - 10的英国生物银行(UKBB)。通过调查表型可重复性并进行PheWAS,我们将ICD - 10 - CM映射与金标准ICD - 9 - CM phecode映射进行了保真度评估。

结果

我们将超过75%的ICD - 10和ICD - 10 - CM编码映射到了phecode。在UKBB(ICD - 10)和VUMC(ICD - 10 - CM)队列中观察到的唯一编码中,超过90%被映射到了phecode。对于源自ICD - 10 - CM phecode映射的表型,我们观察到慢性病的可重复性为70 - 75%,急性病的可重复性小于10%。使用ICD - 9 - CM和ICD - 10 - CM映射,我们对脂蛋白(a)基因变异rs... 进行了PheWAS,该变异复制了两个已知的具有相似效应大小的基因型 - 表型关联:冠状动脉粥样硬化(ICD - 9 - CM:P <.001;优势比(OR)1.60 [95%置信区间1.43 - 1.80] 对比ICD - 10 - CM:P <.001;OR 1.60 [95%置信区间1.43 - ...])和慢性缺血性心脏病(ICD - 9 - CM:P <.001;OR 1.56 [95%置信区间1.35 - 1.79] 对比ICD - 10 - CM:P <.001;OR 1.47 [95%置信区间1.... - 1.77])。

结论

本研究将ICD - 10和ICD - 10 - CM的测试版引入到phecode映射中,使研究人员能够在EHR中利用积累的ICD - 10和ICD - 10 - CM数据进行PheWAS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6d6/6911227/9ee240a6e902/medinform_v7i4e14325_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验