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DOI 10.1136/bmjopen-2024-094279

Медицинская библиотека · BMJ open · 2025

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.

Tay Matthew Rong Jie, Kim Jong Moon, Ong Poo Lee, Khin Lay Wai, Wong Chin Jung, Kong Keng He, Tan Bryan Yijia, Lee Eng Sing, Sim Sai Zhen, Lim Wee Shiong, Yam Michael Gui Jie, Chew Justin Linghui, Tan Alvin Wai Kit, Sidarta Ananda, Yee Emily, Chua Karen Sui Geok

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Аннотация

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.

Для цитирования: Tay Matthew Rong Jie, Kim Jong Moon, Ong Poo Lee, Khin Lay Wai, Wong Chin Jung, Kong Keng He, Tan Bryan Yijia, Lee Eng Sing, Sim Sai Zhen, Lim Wee Shiong, Yam Michael Gui Jie, Chew Justin Linghui, Tan Alvin Wai Kit, Sidarta Ananda, Yee Emily, Chua Karen Sui Geok. 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. 2025. DOI: 10.1136/bmjopen-2024-094279.

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