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Correlation study between bone metabolic markers, bone mineral density, and sarcopenia.
Xie, W Q; He, M; Yu, D J; Li, H Z; Jin, H F; Ji, B Z; Yang, G; Chen, L L; Rahmati, M; Li, Y S.
Affiliation
  • Xie WQ; Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • He M; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Yu DJ; Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Li HZ; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Jin HF; Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Ji BZ; Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Yang G; Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Chen LL; Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Rahmati M; Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Li YS; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, 410000, Hunan, China.
J Endocrinol Invest ; 47(6): 1559-1572, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38097848
ABSTRACT

OBJECTIVE:

To investigate the correlation between bone metabolism markers, bone mineral density (BMD), and sarcopenia.

METHODS:

A total of 331 consecutive patients aged ≥ 60 years who were hospitalized between November 2020 and December 2021 were enrolled. Participants were divided into sarcopenia and non-sarcopenia groups according to the Asian Working Group on Sarcopenia criteria (AWGS, 2019). The clinical data, bone metabolism markers (ß-CTX, N-MID, and TP1NP), and BMD were compared between the two groups.

RESULTS:

Age, ß-CTX, and N-MID of the sarcopenia group were higher than those of the non-sarcopenia group (P < 0.05), but the BMD T values were lower than those of the non-sarcopenia group (P < 0.05). Binary logistic regression analysis showed that increased femoral neck BMD (FNBMD) was a protective factor for sarcopenia, while increased ß-CTX was a risk factor. Pearson/Spearman correlation analysis showed that the diagnostic indices of sarcopenia were positively correlated with FNBMD and negatively correlated with ß-CTX and N-MID. Multiple linear regression analysis revealed that BMI and FNBMD significantly positively affected muscle strength and appendicular skeletal muscle mass (ASM). The FNBMD significantly positively affected physical performance, while ß-CTX significantly negatively affected muscle strength, ASM, and physical performance.

CONCLUSION:

Increased FNBMD may be a protective factor against sarcopenia, and increased ß-CTX may be a risk factor. The FNBMD significantly positively affected the diagnostic indices of sarcopenia, while ß-CTX significantly negatively affected them. BMD and bone metabolism marker levels may be considered in early screening for sarcopenia.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Bone Density / Sarcopenia Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Endocrinol Invest Year: 2024 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Bone Density / Sarcopenia Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Endocrinol Invest Year: 2024 Type: Article Affiliation country: China