Performance of Administrative Algorithms to Identify Interstitial Lung Disease in Rheumatoid Arthritis.

ABSTRACT:

Objective

To determine the performance of administrative-based algorithms for classifying interstitial lung disease (ILD) complicating rheumatoid arthritis (RA).

Methods

Participants in a large, multicenter RA registry were screened for ILD using codes from the International Classification of Diseases, Ninth Revision (ICD-9) and the ICD-10. Medical record review confirmed ILD among participants screening positive and a random sample of those screening negative. ICD and procedure codes, provider specialty, and dates were extracted from Veterans Affairs administrative data to construct ILD algorithms. Performance of these algorithms against medical record review was assessed by sensitivity, specificity, positive predictive value (PPV), negative predictive value, and kappa usin

SUBMITTER: England BR 

PROVIDER: S-EPMC7024644 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature