Systematic review of sarcopenia biomarkers in hip fracture patients as a potential tool in clinical evaluation

Filip Brzeszczyński, David Hamilton, Oktawiusz Bończak , Joanna Brzeszczyńska*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)
35 Downloads (Pure)

Abstract

Hip fractures are associated with high morbidity and mortality. Sarcopenia is a significant factor contributing to poor prognosis; however, the clinical diagnosis of sarcopenia remains difficult in surgical patients. This systematic review aims to identify the biomarkers of sarcopenia as diagnostic and predictive tools in patients admitted for hip fracture surgery. A systematic search was conducted in the MEDLINE, EMBASE, and Google Scholar databases according to the PRISMA guidelines. Biomarker study quality was assessed using the BIOCROSS score. A total of 7 studies met the inclusion criteria and 515 patients were included, of whom 402 (78%) were female and 113 (22%) were male. The mean age of the participants was 83.1 years (SD: 5.9). Skeletal muscle biopsies were used for biomarker assessment in 14% (1/7) of studies and venous blood samples were used in the remaining 86% (6/7). The highlighted sarcopenia biomarkers included the low expression of insulin-like growth factor (IGF-I) and tumor necrosis factor-α (TNF-α), along with high serum myostatin and low serum vitamin D levels. Overall, the BIOCROSS score was satisfactory, with all studies obtaining at least a score of 13/20. The orthopedic literature is limited; however, the highlighted biomarkers in this review could be used as adjuncts in the diagnosis of sarcopenia in surgical patients.
Original languageEnglish
Article number13433
Number of pages14
JournalInternational Journal of Molecular Sciences
Volume25
Issue number24
DOIs
Publication statusPublished - 15 Dec 2024

Keywords

  • sarcopenia
  • biomarkers
  • hip fractures
  • muscle decline
  • orthopedic surgery

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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