Healthy Ageing Theme, Garvan Institute of Medical Research Darlinghurst Australia.
St Vincent's Clinical School, UNSW Sydney, Sydney Australia.
Expert Rev Endocrinol Metab. 2021 Jul;16(4):191-200. doi: 10.1080/17446651.2021.1924672. Epub 2021 May 13.
Osteoporotic fracture imposes a significant health care burden globally. Personalized assessment of fracture risk can potentially guide treatment decisions. Over the past decade, a number of risk prediction models, including the Garvan Fracture Risk Calculator (Garvan) and FRAX®, have been developed and implemented in clinical practice. : This article reviews recent development and validation results concerning the prognostic performance of the two tools. The main areas of review are the need for personalized fracture risk prediction, purposes of risk prediction, predictive performance in terms of discrimination and calibration, concordance between the Garvan and FRAX tools, genetic profiling for improving predictive performance, and treatment thresholds. In some validation studies, FRAX tended to underestimate fracture by as high as 50%. Studies have shown that the predicted risk from the Garvan tool is highly concordant with clinical decision. : Although there are some discrepancy in fracture risk prediction between Garvan and FRAX, both tools are valid and can aid patients and doctors communicate about risk and make informed decision. The ideal of personalized risk assessment for osteoporosis patients will be realized through the incorporation of genetic profiling into existing fracture risk assessment tools.
骨质疏松性骨折在全球范围内造成了重大的医疗负担。对骨折风险进行个体化评估可能有助于指导治疗决策。在过去十年中,已经开发并实施了许多风险预测模型,包括 Garvan 骨折风险计算器 (Garvan) 和 FRAX®。本文回顾了这两种工具的预后性能的最新研究进展和验证结果。主要的审查领域包括对个体化骨折风险预测的需求、风险预测的目的、预测的区分度和校准度、Garvan 和 FRAX 工具之间的一致性、通过基因分析提高预测性能、以及治疗阈值。在一些验证研究中,FRAX 对骨折的低估高达 50%。研究表明,Garvan 工具预测的风险与临床决策高度一致。虽然 Garvan 和 FRAX 在骨折风险预测方面存在一些差异,但这两种工具都是有效的,可以帮助患者和医生就风险进行沟通,并做出明智的决策。通过将基因分析纳入现有的骨折风险评估工具,实现骨质疏松症患者个体化风险评估的理想目标。