Targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high-burden disease cohorts (OPTIMA-C): a longitudinal observational cohort study protocol for neuromusculoskeletal muscle health
Introduction Sarcopenia and frailty have been identified as negative predictors of health outcomes. Patients with stroke, traumatic brain injury (TBI), knee osteoarthritis (OA) and breast cancer commonly experience low physical activity levels in the chronic phase of recovery. This prospective study...
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BMJ Publishing Group
2025-05-01
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| author | Keng He Kong Eng Sing Lee Wee Shiong Lim Sai Zhen Sim Bryan Yijia Tan Matthew Rong Jie Tay Jong Moon Kim Poo Lee Ong Lay Wai Khin Chin Jung Wong Michael Gui Jie Yam Justin Linghui Chew Alvin Wai Kit Tan Ananda Sidarta Emily Yee Karen Sui Geok Chua |
| author_facet | Keng He Kong Eng Sing Lee Wee Shiong Lim Sai Zhen Sim Bryan Yijia Tan Matthew Rong Jie Tay Jong Moon Kim Poo Lee Ong Lay Wai Khin Chin Jung Wong Michael Gui Jie Yam Justin Linghui Chew Alvin Wai Kit Tan Ananda Sidarta Emily Yee Karen Sui Geok Chua |
| author_sort | Keng He Kong |
| collection | DOAJ |
| description | Introduction Sarcopenia and frailty have been identified as negative predictors of health outcomes. Patients with stroke, traumatic brain injury (TBI), knee osteoarthritis (OA) and breast cancer commonly experience low physical activity levels in the chronic phase of recovery. This prospective study aims to explore the feasibility of multimodal screening and longitudinal tracking of various biomarkers from the acute to chronic phase of disease to determine the relationship with frailty outcomes.Methods and analysis A prospective longitudinal observational cohort study involving Asian populations is planned over 3 years. Enrolled participants with index conditions of acute stroke, TBI, knee OA and breast cancer will be recruited from rehabilitation hospitals and clinics and followed longitudinally. Reference thresholds from the Asian Working Group on Sarcopenia will be used. Variables include self-reported questionnaires, disease and comorbidity characteristics, anthropometric measurements, appetite questionnaires, muscle ultrasound (MUS), muscle/bone mass, blood biomarkers and markerless gait motion systems. In particular, physical performance (short physical performance battery and hand grip strength), sarcopenia (SARC-F questionnaire) and frailty assessment (FRAIL score, clinical frailty scale), four-region MUS, body composition analysis, dual X-ray absorptiometry, bone mineral densitometry, physical activity levels (International Physical Activity Questionnaire for the elderly [IPAQ-E], fitness trackers) and health-related quality of life assessment (EuroQoL-5D questionnaire five level [EQ5D-5L]) will be used. Blood biomarkers measuring metabolic health (eg, glycated haemoglobin, cholesterol, fasting glucose and 25-OH vitamin D) and inflammation (eg, Tumor Necrosis Factor-alpha [TNF-α] and Monocyte Chemoattractant Protein-1 [MCP-1]) will be measured at baseline. Data collection will take place at postrecruitment baseline (hospital admission), 1, 6 months, 12 months and 2 years postrecruitment (inpatient) and at postrecruitment baseline, 6 months, 12 months and 2 years postrecruitment (outpatient).Ethics and dissemination Ethical approval has been obtained from the National Healthcare Group Domain Specific Review Board (2023/00105). Findings will be disseminated through conference presentations and publication in scientific journals.Trial registeration number NCT06073106. |
| format | Article |
| id | doaj-art-2ee01307cf6441049444fb749e7a6515 |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMJ Publishing Group |
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| spelling | doaj-art-2ee01307cf6441049444fb749e7a65152025-08-20T03:53:52ZengBMJ Publishing GroupBMJ Open2044-60552025-05-0115510.1136/bmjopen-2024-094279Targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high-burden disease cohorts (OPTIMA-C): a longitudinal observational cohort study protocol for neuromusculoskeletal muscle healthKeng He Kong0Eng Sing Lee1Wee Shiong Lim2Sai Zhen Sim3Bryan Yijia Tan4Matthew Rong Jie Tay5Jong Moon Kim6Poo Lee Ong7Lay Wai Khin8Chin Jung Wong9Michael Gui Jie Yam10Justin Linghui Chew11Alvin Wai Kit Tan12Ananda Sidarta13Emily Yee14Karen Sui Geok Chua15Lee Kong Chian School of Medicine, Nanyang Technological University, SingaporeClinical Research Unit, National Healthcare Group Polyclinics, SingaporeLee Kong Chian School of Medicine, Nanyang Technological University, SingaporeClinical Research Unit, National Healthcare Group Polyclinics, SingaporeLee Kong Chian School of Medicine, Nanyang Technological University, SingaporeInstitute of Rehabilitation Excellence, Tan Tock Seng Hospital Rehabilitation Centre, Tan Tock Seng Hospital, SingaporeYong Loo Lin School of Medicine, National University of Singapore, SingaporeInstitute of Rehabilitation Excellence, Tan Tock Seng Hospital Rehabilitation Centre, Tan Tock Seng Hospital, SingaporeClinical Research & Innovation Office, Tan Tock Seng Hospital, SingaporeInstitute of Rehabilitation Excellence, Tan Tock Seng Hospital Rehabilitation Centre, Tan Tock Seng Hospital, SingaporeDepartment of Orthopedic Surgery, Tan Tock Seng Hospital, SingaporeInstitute of Geriatrics and Active Aging, Tan Tock Seng Hospital, SingaporeDepartment of Endocrinology, Tan Tock Seng Hospital, SingaporeRehabilitation Research Institute of Singapore, Nanyang Technological University, SingaporeInstitute of Rehabilitation Excellence, Tan Tock Seng Hospital Rehabilitation Centre, Tan Tock Seng Hospital, SingaporeInstitute of Rehabilitation Excellence, Tan Tock Seng Hospital Rehabilitation Centre, Tan Tock Seng Hospital, SingaporeIntroduction Sarcopenia and frailty have been identified as negative predictors of health outcomes. Patients with stroke, traumatic brain injury (TBI), knee osteoarthritis (OA) and breast cancer commonly experience low physical activity levels in the chronic phase of recovery. This prospective study aims to explore the feasibility of multimodal screening and longitudinal tracking of various biomarkers from the acute to chronic phase of disease to determine the relationship with frailty outcomes.Methods and analysis A prospective longitudinal observational cohort study involving Asian populations is planned over 3 years. Enrolled participants with index conditions of acute stroke, TBI, knee OA and breast cancer will be recruited from rehabilitation hospitals and clinics and followed longitudinally. Reference thresholds from the Asian Working Group on Sarcopenia will be used. Variables include self-reported questionnaires, disease and comorbidity characteristics, anthropometric measurements, appetite questionnaires, muscle ultrasound (MUS), muscle/bone mass, blood biomarkers and markerless gait motion systems. In particular, physical performance (short physical performance battery and hand grip strength), sarcopenia (SARC-F questionnaire) and frailty assessment (FRAIL score, clinical frailty scale), four-region MUS, body composition analysis, dual X-ray absorptiometry, bone mineral densitometry, physical activity levels (International Physical Activity Questionnaire for the elderly [IPAQ-E], fitness trackers) and health-related quality of life assessment (EuroQoL-5D questionnaire five level [EQ5D-5L]) will be used. Blood biomarkers measuring metabolic health (eg, glycated haemoglobin, cholesterol, fasting glucose and 25-OH vitamin D) and inflammation (eg, Tumor Necrosis Factor-alpha [TNF-α] and Monocyte Chemoattractant Protein-1 [MCP-1]) will be measured at baseline. Data collection will take place at postrecruitment baseline (hospital admission), 1, 6 months, 12 months and 2 years postrecruitment (inpatient) and at postrecruitment baseline, 6 months, 12 months and 2 years postrecruitment (outpatient).Ethics and dissemination Ethical approval has been obtained from the National Healthcare Group Domain Specific Review Board (2023/00105). Findings will be disseminated through conference presentations and publication in scientific journals.Trial registeration number NCT06073106.https://bmjopen.bmj.com/content/15/5/e094279.full |
| spellingShingle | Keng He Kong Eng Sing Lee Wee Shiong Lim Sai Zhen Sim Bryan Yijia Tan Matthew Rong Jie Tay Jong Moon Kim Poo Lee Ong Lay Wai Khin Chin Jung Wong Michael Gui Jie Yam Justin Linghui Chew Alvin Wai Kit Tan Ananda Sidarta Emily Yee Karen Sui Geok Chua Targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high-burden disease cohorts (OPTIMA-C): a longitudinal observational cohort study protocol for neuromusculoskeletal muscle health BMJ Open |
| title | Targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high-burden disease cohorts (OPTIMA-C): a longitudinal observational cohort study protocol for neuromusculoskeletal muscle health |
| title_full | Targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high-burden disease cohorts (OPTIMA-C): a longitudinal observational cohort study protocol for neuromusculoskeletal muscle health |
| title_fullStr | Targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high-burden disease cohorts (OPTIMA-C): a longitudinal observational cohort study protocol for neuromusculoskeletal muscle health |
| title_full_unstemmed | Targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high-burden disease cohorts (OPTIMA-C): a longitudinal observational cohort study protocol for neuromusculoskeletal muscle health |
| title_short | Targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high-burden disease cohorts (OPTIMA-C): a longitudinal observational cohort study protocol for neuromusculoskeletal muscle health |
| title_sort | targeting osteosarcopenia and multimorbidity for frailty prevention through identification and deep phenotyping methods in healthy ageing and high burden disease cohorts optima c a longitudinal observational cohort study protocol for neuromusculoskeletal muscle health |
| url | https://bmjopen.bmj.com/content/15/5/e094279.full |
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