Towards ocular biomarkers for sarcopenia: a result from a Korean nationwide cross-sectional study
Description
The objective of this study was to screen sarcopenic patients who need more detailed skeletal muscle evaluation using a comprehensive eye examination. We developed and validated machine learning models to identify sarcopenia risk using ocular measurements and demographic factors. This study used the comprehensive health examination dataset based on the Korean National Health and Nutrition Examination Survey (KNHANES IV and V; available online at http://knhanes.cdc.go.kr) conducted in 2008-2011. The KNHANES surveyed both comprehensive ophthalmologic examinations and dual-energy x-ray bone densitometry (DEXA) only in these periods. The study protocol was approved by the institutional review board of the Korean Center for Disease Control and Prevention and the retrospective data collection was approved by the Institutional Review Board of the Korean National Institute for Bioethics Policy. All participants in the study signed forms consenting to the use of their health information. The KNHANES was a nationwide, population-based, cross-sectional survey conducted by the Division of Chronic Disease Surveillance of the Korea Centers for Disease Control and Prevention.16 This project selected all participants randomly from 200 (2008–2009) and 192 (2010–2011) enumeration districts using stratified sampling in which the following factors were considered: population, sex, age, regional area, and type of residential area. The KNHANES itself comprises health records based on a health interview, a health examination, and a nutrition survey. Each participant completed a questionnaire that consisted of information such as age, household income, alcohol use, smoking status, hypertension, and diabetes.