Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia.
Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia; School of Biomedical Engineering, University of Technology, Sydney, New South Wales, Australia.
Bone. 2023 Jul;172:116755. doi: 10.1016/j.bone.2023.116755. Epub 2023 Apr 5.
Osteoporotic fractures present a major health problem with an increasing prevalence in older people. Fractures are associated with premature mortality, reduced quality of life, subsequent fracture, and increased costs. Hence, it is crucial to identify those at higher risk of fracture. Fracture risk assessment tools incorporated clinical risk factors to improve fracture predictive power over BMD alone. However, fracture risk prediction using these algorithms remains suboptimal, warranting further improvement. Muscle strength and physical performance measurements have been associated with fracture risk. In contrast, the contribution of sarcopenia, the composite condition of low muscle mass, muscle strength and/or physical performance, to fracture risk is unclear. It is uncertain whether this is due to the problematic definition of sarcopenia per se or limitations of the diagnostic tools and cut-off points of the muscle mass component. The recent position statement from the Sarcopenia Definition and Outcomes Consortium confirmed the inclusion of muscle strength and performance in the definition of sarcopenia but not DXA-assessed lean mass. Therefore, clinicians should focus on functional assessment (muscle strength and performance) rather than muscle mass, at least as assessed by DXA, as predictors of fractures. Muscle strength and performance are modifiable risk factors. Resistance exercise improves muscle parameters in the elderly, potentially leading to reduced risk of falls and fractures in the general population and in those who sustained a fracture. Therapists may consider exercise intervention to improve muscle parameters and potentially reduce the risk of fractures. The aim of this review was to explore 1) the contribution of muscle parameters (i.e., muscle mass, strength, and physical performance) to fracture risk in older adults, and 2) the added predictive accuracy of these parameters beyond the existing fracture assessment tools. These topics provide the rationale for investigating strength and physical performance interventions to reduce fracture risk. Most of the included publications showed that muscle mass is not a good predictor of fracture risk, while poor muscle strength and performance are associated with an increased risk of fracture, particularly in men, independent of age, BMD, and other risk factors for fractures. Muscle strength and performance can potentially improve the predictive accuracy in men beyond that obtained by the fracture risk assessment tools, Garvan FRC and FRAX.
骨质疏松性骨折是老年人日益增多的主要健康问题。骨折与过早死亡、生活质量下降、随后骨折和增加的成本有关。因此,识别那些骨折风险更高的人至关重要。骨折风险评估工具将临床危险因素纳入其中,以提高单独使用 BMD 的骨折预测能力。然而,使用这些算法预测骨折的效果仍然不理想,需要进一步改进。肌肉力量和身体表现测量与骨折风险相关。相比之下,肌肉减少症(肌肉质量低、肌肉力量和/或身体表现的综合状况)对骨折风险的贡献尚不清楚。这不确定是因为肌肉减少症本身的定义存在问题,还是因为肌肉质量成分的诊断工具和截止点存在局限性。肌肉减少症定义和结局联合会的最新立场声明证实,将肌肉力量和表现纳入肌肉减少症的定义中,但不包括 DXA 评估的瘦体重。因此,临床医生应该关注功能评估(肌肉力量和表现),而不是肌肉质量,至少 DXA 评估的肌肉质量作为骨折的预测因素。肌肉力量和表现是可改变的危险因素。阻力运动可改善老年人的肌肉参数,有可能降低普通人群和骨折患者跌倒和骨折的风险。治疗师可能会考虑进行运动干预,以改善肌肉参数,从而潜在降低骨折风险。本综述的目的是探讨 1)肌肉参数(即肌肉质量、力量和身体表现)对老年人骨折风险的贡献,2)这些参数对现有骨折评估工具的预测准确性的提高。这些主题为研究力量和身体表现干预措施以降低骨折风险提供了依据。大多数纳入的出版物表明,肌肉质量不是骨折风险的良好预测指标,而肌肉力量和表现差与骨折风险增加相关,尤其是在男性中,独立于年龄、BMD 和其他骨折风险因素。肌肉力量和表现可以潜在地提高男性的预测准确性,超过骨折风险评估工具(Garvan FRC 和 FRAX)获得的准确性。