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评估关联的国际疾病分类第十版(ICD - 10)医疗保险索赔数据作为研究环境中痴呆病例确诊方法的可行性。

Evaluating linked ICD-10 Medicare claims data as a method of dementia case ascertainment in research settings.

作者信息

Bhattacharyya Joya, Barnes Lisa L, Chen Yi, Gianattasio Kan Z, Grodstein Francine, James Bryan D, Marquez David X, Moghtaderi Ali, Prather Christina, Rein David B, Shah Raj C, Stapp Emma K, Power Melinda C

机构信息

Department of Epidemiology, George Washington University, Washington, District of Columbia, USA.

Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.

出版信息

Alzheimers Dement. 2025 May;21(5):e70200. doi: 10.1002/alz.70200.

Abstract

INTRODUCTION

US Medicare claims can be used to identify dementia cases for research. Our objective was to evaluate the performance of International Classification of Diseases, 10th Revision (ICD-10) code definitions versus research-based dementia ascertainment.

METHODS

Participants of five Rush Alzheimer's Disease Center (RADC) cohorts with study visits between October 2015 and December 2019 and fee-for-service Medicare contributed observations. For each observation, we compared research-based dementia status to dementia status based on six ICD-10 code definitions.

RESULTS

A total of 1869 participants contributed 5309 observations (mean age 82.9 years, 21.0% Black, 9.3% met research-based dementia criteria). The accuracy of ICD-10 code definitions was high (87%-90%); five of six code definitions favored specificity over sensitivity. All ICD-10 code definitions were less accurate among subgroups defined by older age, minoritized race, increased depressive symptoms, and history of stroke.

DISCUSSION

Performance of ICD-10 code definitions mirrored that of ICD-9 code definitions. Awareness of differential performance by participant characteristics can improve the robustness of research.

HIGHLIGHTS

We report the performance of the International Classification of Diseases, 10th Revision (ICD-10) code versus research-based dementia ascertainment. ICD-10 performed worse with age, depressive symptoms, minoritized race, and stroke. Awareness of accuracy and differential performance can improve research robustness.

摘要

引言

美国医疗保险索赔数据可用于识别痴呆症病例以进行研究。我们的目标是评估国际疾病分类第十版(ICD - 10)编码定义相对于基于研究的痴呆症确诊方法的性能。

方法

五个拉什阿尔茨海默病中心(RADC)队列的参与者在2015年10月至2019年12月期间进行了研究访问,并提供了按服务收费的医疗保险数据。对于每一项观察,我们将基于研究的痴呆症状态与基于六种ICD - 10编码定义的痴呆症状态进行比较。

结果

共有1869名参与者提供了5309项观察数据(平均年龄82.9岁,21.0%为黑人,9.3%符合基于研究的痴呆症标准)。ICD - 10编码定义的准确性较高(87% - 90%);六种编码定义中有五种更注重特异性而非敏感性。在按年龄较大、少数族裔、抑郁症状增加和有中风病史定义的亚组中,所有ICD - 10编码定义的准确性都较低。

讨论

ICD - 10编码定义的性能与ICD - 9编码定义相似。了解参与者特征导致的性能差异可以提高研究的稳健性。

要点

我们报告了国际疾病分类第十版(ICD - 10)编码相对于基于研究的痴呆症确诊方法的性能。ICD - 10在年龄、抑郁症状、少数族裔和中风方面表现较差。了解准确性和性能差异可以提高研究的稳健性。

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