Y Su1, J Leung2, T Kwok3,4. 1. Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China. 2. Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Shatin, Hong Kong, China. 3. Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China. tkwok@cuhk.edu.hk. 4. Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Shatin, Hong Kong, China. tkwok@cuhk.edu.hk.
Abstract
Falls are a major concern in terms of fracture risk. Although awareness rising for the absence of falls in the FRAX algorithm, our study only identified the independent predictive role of previous recurrent falls and their better conjunction use with FRAX for major osteoporotic fracture prediction in older Chinese men. INTRODUCTION: Although the association of falls with fracture has been widely explored, the impact of previous falls is not included in the FRAX algorithm currently. Our aim was to examine the FRAX-independent associations between falls in the previous year and subsequent fracture risk, as well as the conjunctive use of falls and the FRAX score for major osteoporotic fracture (MOF) prediction in older Chinese people. METHODS: Four thousand community older men and women aged 65 years or older were followed up for 9.9 ± 2.7 and 8.8 ± 1.5 years, respectively. The associations between falls in the previous 1 year and MOF risk by follow-up years were evaluated using the Fine and Gray model. New prediction scores were calculated by incorporating the falls and FRAX scores using the Fine and Gray model, or developed by adjusting the FRAX scores by 30% increased risk for each fall in the previous year. The predictive powers for MOF risk between the new scores and FRAX scores were evaluated by the area under the curve (AUC) and category-based net reclassification improvement index (NRI). RESULTS: During the follow-up period, 139 (7.0%) men and 236 (11.8%) women had at least one incident MOF. One previous fall significantly predicted the first year incident MOF in men [hazard ratio (HR) (95%CI), 3.47 (1.02, 11.80)]. Previous recurrent falls significantly predicted a 10-year incident MOF in men [HR (95%CI), 2.42 (1.30, 4.51)]. In men, the fall-adjusting FRAX scores showed significant improvement on total net reclassification of fracture (3-6%). No improved predictive accuracy shown in women. CONCLUSION: Falls in the previous year are likely to provide some predictive power to FRAX for MOF risk assessment in older Chinese men, but not women.
Falls are a major concern in terms of fracture risk. Although awareness rising for the absence of falls in the FRAX algorithm, our study only identified the independent predictive role of previous recurrent falls and their better conjunction use with FRAX for major osteoporotic fracture prediction in older Chinese men. INTRODUCTION: Although the association of falls with fracture has been widely explored, the impact of previous falls is not included in the FRAX algorithm currently. Our aim was to examine the FRAX-independent associations between falls in the previous year and subsequent fracture risk, as well as the conjunctive use of falls and the FRAX score for major osteoporotic fracture (MOF) prediction in older Chinese people. METHODS: Four thousand community older men and women aged 65 years or older were followed up for 9.9 ± 2.7 and 8.8 ± 1.5 years, respectively. The associations between falls in the previous 1 year and MOF risk by follow-up years were evaluated using the Fine and Gray model. New prediction scores were calculated by incorporating the falls and FRAX scores using the Fine and Gray model, or developed by adjusting the FRAX scores by 30% increased risk for each fall in the previous year. The predictive powers for MOF risk between the new scores and FRAX scores were evaluated by the area under the curve (AUC) and category-based net reclassification improvement index (NRI). RESULTS: During the follow-up period, 139 (7.0%) men and 236 (11.8%) women had at least one incident MOF. One previous fall significantly predicted the first year incident MOF in men [hazard ratio (HR) (95%CI), 3.47 (1.02, 11.80)]. Previous recurrent falls significantly predicted a 10-year incident MOF in men [HR (95%CI), 2.42 (1.30, 4.51)]. In men, the fall-adjusting FRAX scores showed significant improvement on total net reclassification of fracture (3-6%). No improved predictive accuracy shown in women. CONCLUSION: Falls in the previous year are likely to provide some predictive power to FRAX for MOF risk assessment in older Chinese men, but not women.
Entities:
Keywords:
FRAX; Falls; Major osteoporotic fractures; Risk prediction
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