Standardizing phenotypic algorithms for the classification of degenerative rotator cuff tear from electronic health record systems.

ABSTRACT:

Objectives

Degenerative rotator cuff tears (DCTs) are the leading cause of shoulder pain, affecting 30%-50% of individuals over 50. Current phenotyping strategies for DCT use heterogeneous combinations of procedural and diagnostic codes and are concerning for misclassification. The objective of this study was to create standardized phenotypic algorithms to classify DCT status across electronic health record (EHR) systems.

Materials and methods

Using a de-identified EHR system, containing chart level data for ∼3.5 million individuals from January 1998 to December 2023, we developed and validated 2 types of algorithms-one requiring and one without imaging verification-to identify DCT cases and controls. The algorithms used combinations of International Classification of Diseas

SUBMITTER: Herzberg SD 

PROVIDER: S-EPMC11917214 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature