Association of biomarkers and muscle ultrasound with Sarcopenia and frailty syndrome in the acute and subacute hip fracture in the older people and its association with clinical outcomes
Description: Hip fractures caused by osteoporosis are frequent in older people leading to high mortality and mobility loss. In addition, there is an overlap of nutritional conditions, such as sarcopenia and Frailty Syndrome (Sd), with hip fracture, further aggravating the trauma prognostic. Currently, there are technical difficulties and a lack of objectivity in evaluating these nutritional conditions and their prognostic role in hip fractures. Therefore, this study aims to evaluate the role of muscle thickness and quality measurements by ultrasound and serum biomarkers in the diagnosis and prognosis of sarcopenia and frailty Sd in hip fracture. It is a prospective cohort, including 130 older patients with hip fractures. The Clinical Scale of Frailty will be used; as bioimpedance and dynamometry for nutritional diagnoses. The thickness and quality of the musculature will be evaluated by ultrasound. Biomarkers: Co-terminal Agrina Fragment (CAF), Serum Creatinine/Cystatin C (Cr/Cysc), Progranulin (PGNR) and N-terminal Procollagen Peptide Type III (P3NP) and Growth Differentiation factor 15 (GDF15) will be evaluated by ELISA and metabolomics by mass spectrometry. The associations between biomarkers and muscle thickness with sarcopenia/Sd of frailty, mortality and gait recovery will be performed by logistic regression. It is expected to bring novelties concerning the use of muscle ultrasound and in identifying potential biomarkers for the diagnosis and prognosis of sarcopenia and frailty Sd in the context of femoral fracture in the older adult. (AU)
Funding type: grant
Funder scheme: Auxílio à Pesquisa - Regular
Start date: 2023-04-01
End date: 2025-06-30
Investigator: Paula Schmidt Azevedo Gaiolla
Institution: Universidade Estadual Paulista (UNESP). Campus de Botucatu. Faculdade de Medicina (FMB)
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Funded outputs count: 2
Funder award ID: 22/15147-6
OpenAlex ID: G1795353609