Sarcopenia, Obesity, and Sarcopenic Obesity: Retrospective Audit of Electronic Health Record Documentation versus Automated CT Analysis in 17 646 Patients
Juan Manuel Zambrano Chaves, Jason Hom, Leon Lenchik, Akshay Chaudhari, Robert D. Boutin
Abstract
Automated opportunistic CT analysis identified sarcopenia and sarcopenic obesity in 28.5% and 5.7% of 17 646 patients, respectively, contrasting with the 0.05% underreported in the electronic health record, which highlights the potential of artificial intelligence tools to mitigate sarcopenia underdiagnosis.
Topics & Concepts
SarcopeniaMedicineSarcopenic obesityAuditDocumentationObesityElectronic health recordHealth recordsRetrospective cohort studyGerontologyInternal medicineHealth careEconomicsProgramming languageEconomic growthComputer scienceManagementNutrition and Health in AgingBody Composition Measurement TechniquesFrailty in Older Adults