Development and Validation of a Nomogram for Predicting Sarcopenia in Community-Dwelling Older Adults |
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| Institution: | 1. Cicely Saunders Institute of Palliative Care, Policy and Rehabilitation, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King''s College London, London, United Kingdom;2. Xiangya Nursing School, The Central South University, Changsha, China;3. The Third Xiangya Hospital of Central South University, Changsha, China;4. The Nethersole School of Nursing, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong SAR, China;1. Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy;2. Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy;3. Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, Rome, Italy;4. Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden;5. Department of Human Neuroscience, “Sapienza” University, Rome, Italy;6. National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy;7. Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, Rome, Italy;1. National Clinician Scholar Program, University of Pennsylvania, Philadelphia, PA, USA;2. Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center, Philadelphia, PA, USA;3. Duke Margolis Center for Health Policy, Washington, DC, USA;4. National Pharmaceutical Council, Washington, DC, USA;5. University of Pennsylvania Department of Medical Ethics and Health Policy, Philadelphia, PA, USA;1. Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan;2. Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan;3. Queensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia;4. Center for Research, Diagnostics and Vaccine Development, Taiwan Centers for Disease Control, Taipei, Taiwan;5. Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan;6. Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan;7. School of Medicine, National Yang-Ming University, Taipei, Taiwan;8. Department of Neurology, Min-Sheng General Hospital, Taoyuan, Taiwan;9. Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan;10. Graduate Institute of Psychology, College of Science, National Taiwan University, Taipei, Taiwan;11. Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan;1. Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France;2. CERPOP UMR1295, Université de Toulouse, Inserm, UPS, Toulouse, France;3. IRCCS Istituti Clinici Scientifici Maugeri, University of Milan, Milan, Italy |
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| Abstract: | ObjectiveTo establish and validate a nomogram that predicts the risk of sarcopenia for community-dwelling older residents.DesignRetrospective study.Setting and ParticipantsA total of 1050 community-dwelling older adults.MethodsData from a survey of community-dwelling older residents (≥60 years old) in Hunan, China, from June to September 2019 were retrospectively analyzed. The survey included general demographic information, diet, and exercise habits. Sarcopenia diagnosis was according to 2019 Asian Working Group for Sarcopenia criteria. Participants were randomly divided into the development group and validation groups. Independent risk factors were screened by multivariate logistic regression analysis. Based on the independent risk factors, a nomogram model was developed to predict the risk of sarcopenia for community-dwelling older adults. Both in the development and validation sets, the discrimination, calibration, and clinical practicability of the nomogram were verified using receiver operating characteristic curve analysis, Hosmer-Lemeshow test, and decision curve analysis, respectively.ResultsSarcopenia was identified in 263 (25.0%) participants. Age, body mass index, marital status, regular physical activity habit, uninterrupted sedentary time, and dietary diversity score were significant contributors to sarcopenia risk. A nomogram for predicting sarcopenia in community-dwelling older adults was developed using these factors. Receiver operating characteristic curve analysis showed that the area under the curve was 0.827 (95% CI 0.792-0.860) and 0.755 (95% CI 0.680-0.837) in the development and validation sets, respectively. The Hosmer-Lemeshow test yielded P values of .609 and .565, respectively, for the 2 sets. The nomogram demonstrated a high net benefit in the clinical decision curve in both sets.Conclusions and ImplicationsThis study developed and validated a risk prediction nomogram for sarcopenia among community-dwelling older adults. Sarcopenia risk was classified as low (<11%), moderate (11%-70%), and high (>70%). This nomogram provides an accurate visual tool to medical staff, caregivers, and older adults for prediction, early intervention, and graded management of sarcopenia. |
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| Keywords: | Nomogram older adults risk predicting sarcopenia |
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