Literature DB >> 25262197

Sarcopenia combined with FRAX probabilities improves fracture risk prediction in older Chinese men.

Ruby Yu1, Jason Leung2, Jean Woo3.   

Abstract

OBJECTIVES: To examine whether the inclusion of sarcopenia in prediction models adds any incremental value to fracture risk assessment tool (FRAX). DESIGN, SETTING, AND PARTICIPANTS: Data from a prospective cohort of 4000 community-dwelling Chinese men and women aged 65 years and older with adjudicated fracture outcomes were analyzed. MEASUREMENTS: At baseline, femoral neck bone mineral density (BMD) was assessed, as were the clinical risk factors included in FRAX, along with additional appendicular skeletal muscle mass, grip strength, and gait speed. Sarcopenia was defined according to the Asian Working Group for Sarcopenia algorithm. Incident fractures were documented during the follow-up period from 2001 to 2013.
RESULTS: Of 4000 participants, 565 experienced at least 1 type of incident fracture and 132 experienced a hip fracture during a follow-up of 10.2 years. Hazard ratios (HRs) for 1-unit increase in FRAX score without BMD in men were 1.12 [95% confidence interval (CI) 1.08-1.16] for all fractures combined and 1.19 (95% CI 1.13-1.27) for hip fracture, and in women were 1.04 (95% CI 1.03-1.06) for all fractures combined and 1.08 (95% CI 1.06-1.11) for hip fracture. Similar to results of the FRAX score without BMD, HRs for 1-unit increase in FRAX score with BMD in men were 1.04 (95% CI 1.03-1.06) for all fractures combined and 1.19 (95% CI 1.13-1.25) for hip fracture, and in women were 1.04 (95% CI 1.03-1.05) for all fractures combined and 1.06 (95% CI 1.05-1.08) for hip fracture. Sarcopenia was significantly associated with all fractures combined (Adjusted HR 1.87; 95% CI 1.30-2.68) and hip fracture (Adjusted HR 2.67; 95% CI 1.46-4.90) in men but not in women. The discriminative values for fracture, as measured by the area under the receiver operating characteristic curve, were 0.60-0.73 and 0.62-0.76 for FRAX without and with BMD, respectively. Adding sarcopenia did not significantly improve the discriminatory capacity over FRAX (P > .05). Using reclassification techniques, sarcopenia significantly enhanced the integrated discrimination improvement by 0.6% to 1.2% and the net reclassification improvement by 7.2% to 20.8% in men, but it did not contribute to predictive accuracy in women.
CONCLUSIONS: Sarcopenia added incremental value to FRAX in predicting incident fracture in older Chinese men.
Copyright © 2014 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  FRAX; elderly; fracture; fracture probability; prediction; sarcopenia

Mesh:

Year:  2014        PMID: 25262197     DOI: 10.1016/j.jamda.2014.07.011

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  19 in total

1.  Dysmobility Syndrome Independently Increases Fracture Risk in the Osteoporotic Fractures in Men (MrOS) Prospective Cohort Study.

Authors:  Bjoern Buehring; Karen E Hansen; Brian L Lewis; Steven R Cummings; Nancy E Lane; Neil Binkley; Kristine E Ensrud; Peggy M Cawthon
Journal:  J Bone Miner Res       Date:  2018-06-21       Impact factor: 6.741

2.  The Predictive Value of Sarcopenia and Falls for 2-Year Major Osteoporotic Fractures in Community-Dwelling Older Adults.

Authors:  Yi Su; Freddy M H Lam; Jason Leung; Wing-Hoi Cheung; Suzanne C Ho; Timothy Kwok
Journal:  Calcif Tissue Int       Date:  2020-05-30       Impact factor: 4.333

Review 3.  Exercise, muscle, and the applied load-bone strength balance.

Authors:  L Giangregorio; R El-Kotob
Journal:  Osteoporos Int       Date:  2016-10-13       Impact factor: 4.507

4.  Association of sarcopenia and fractures in community-dwelling older adults: a systematic review and meta-analysis of cohort studies.

Authors:  Y Zhang; Q Hao; M Ge; B Dong
Journal:  Osteoporos Int       Date:  2018-03-02       Impact factor: 4.507

Review 5.  Prediction Models for Osteoporotic Fractures Risk: A Systematic Review and Critical Appraisal.

Authors:  Xuemei Sun; Yancong Chen; Yinyan Gao; Zixuan Zhang; Lang Qin; Jinlu Song; Huan Wang; Irene Xy Wu
Journal:  Aging Dis       Date:  2022-07-11       Impact factor: 9.968

6.  Comparison between frailty index of deficit accumulation and fracture risk assessment tool (FRAX) in prediction of risk of fractures.

Authors:  Guowei Li; Lehana Thabane; Alexandra Papaioannou; Jonathan D Adachi
Journal:  Bone       Date:  2015-04-25       Impact factor: 4.398

Review 7.  Impact of muscle atrophy on bone metabolism and bone strength: implications for muscle-bone crosstalk with aging and disuse.

Authors:  T Bettis; B-J Kim; M W Hamrick
Journal:  Osteoporos Int       Date:  2018-05-18       Impact factor: 4.507

Review 8.  Osteoporosis and sarcopenia: two diseases or one?

Authors:  Jean-Yves Reginster; Charlotte Beaudart; Fanny Buckinx; Olivier Bruyère
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2016-01       Impact factor: 4.294

9.  Rapid screening for sarcopenia.

Authors:  John E Morley; Li Cao
Journal:  J Cachexia Sarcopenia Muscle       Date:  2015-11-18       Impact factor: 12.910

10.  Sex-based Differences in the Association between Body Composition and Incident Fracture Risk in Koreans.

Authors:  Jung Hee Kim; A Ram Hong; Hyung Jin Choi; Eu Jeong Ku; Nam H Cho; Chan Soo Shin
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.