Sarcopenia, frailty and cachexia patients detected in a multisystem electronic health record database.

ABSTRACT:

Background

Sarcopenia, cachexia and frailty have overlapping features and clinical consequences, but often go unrecognized. The objective was to detect patients described by clinicians as having sarcopenia, cachexia or frailty within electronic health records (EHR) and compare clinical variables between cases and matched controls.

Methods

We conducted a case-control study using retrospective data from the Indiana Network for Patient Care multi-health system database from 2016 to 2017. The computable phenotype combined ICD codes for sarcopenia, cachexia and frailty, with clinical note text terms for sarcopenia, cachexia and frailty detected using natural language processing. Cases with these codes or text terms were matched to controls without these codes or text terms matche

SUBMITTER: Moorthi RN 

PROVIDER: S-EPMC7395344 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature