RESUMEN
Using 1998-2022 Women's Health Initiative (WHI) data, our study provides contemporary fracture data by race and ethnicity, specifically focusing on Hispanic and Asian women. Fractures of interest included any clinical, hip, and major osteoporotic fractures (MOFs). We utilized the updated race and ethnicity information collected in 2003, which included seven Asian and five Hispanic origin groups. We computed crude and age-standardized fracture incidence rates per 10 000 woman-years across race and ethnic categories and by Asian and Hispanic origin. We used Cox proportional hazards model, adjusting for age and WHI clinical trial arm, to evaluate the risk of fracture (1) by race compared to White women, (2) Asian origin compared to White women, (3) Hispanic compared to non-Hispanic women, and (4) Asian and Hispanic origins compared the most prevalent origin group. Over a median (interquartile range) follow-up of 19.4 (9.2-24.2) years, 44.2% of the 160 824 women experienced any clinical fracture, including 36 278 MOFs and 8962 hip fractures. Compared to White women, Black, Pacific Islander, Asian, and multiracial women had significantly lower risk of any clinical and MOFs, while only Black and Asian women had significantly lower hip fracture risk. Within Asian women, Filipina women had 24% lower risk of any clinical fracture compared to Japanese women. Hispanic women had significantly lower risk of any clinical, hip, and MOF fractures compared to non-Hispanic women, with no differences in fracture risk observed within Hispanic origin groups. In this diverse sample of postmenopausal women, we confirmed racial and ethnic differences in fracture rates and risk, with novel findings among within Asian and Hispanic subgroups. These data can aid in future longitudinal studies evaluate contributors to racial and ethnic differences in fractures.
We provided contemporary fracture rates by race and ethnicity, specifically focusing on multiple Hispanic and Asian subgroups, using 1998-2022 data from the Women's Health Initiative. Over a median follow-up of 19.4 years, 43.4% of the 154 948 women experienced any clinical fracture, including 8679 hip and 34 546 major osteoporotic fractures. Compared to White women, Black, Pacific Islander, Asian, and multiracial women had significantly lower risk of any clinical and major osteoporotic fractures (MOFs); while only Black and Asian women had significantly lower hip fracture risk when compared to White women. Within Asian women, Filipina women had 24% lower risk of any clinical fracture compared to Japanese women. Hispanic women had significantly lower risk of any clinical, hip, and MOF fractures compared to non-Hispanic women, with no differences in fracture risk observed within Hispanic women. In this diverse sample of postmenopausal women, we confirmed racial and ethnic differences in fracture rates and risk, with novel findings among Pacific Islander women and within Asian and Hispanic subgroups.
RESUMEN
Using race and ethnicity in clinical algorithms potentially contributes to health inequities. The American Society for Bone and Mineral Research (ASBMR) Professional Practice Committee convened the ASBMR Task Force on Clinical Algorithms for Fracture Risk to determine the impact of race and ethnicity adjustment in the US Fracture Risk Assessment Tool (US-FRAX). The Task Force engaged the University of Minnesota Evidence-based Practice Core to conduct a systematic review investigating the performance of US-FRAX for predicting incident fractures over 10 years in Asian, Black, Hispanic, and White individuals. Six studies from the Women's Health Initiative (WHI) and Study of Osteoporotic Fractures (SOF) were eligible; cohorts only included women and were predominantly White (WHI > 80% and SOF > 99%), data were not consistently stratified by race and ethnicity, and when stratified there were far fewer fractures in Black and Hispanic women vs White women rendering area under the curve (AUC) estimates less stable. In the younger WHI cohort (n = 64 739), US-FRAX without bone mineral density (BMD) had limited discrimination for major osteoporotic fracture (MOF) (AUC 0.53 (Black), 0.57 (Hispanic), and 0.57 (White)); somewhat better discrimination for hip fracture in White women only (AUC 0.54 (Black), 0.53 (Hispanic), and 0.66 (White)). In a subset of the older WHI cohort (n = 23 918), US-FRAX without BMD overestimated MOF. The Task Force concluded that there is little justification for estimating fracture risk while incorporating race and ethnicity adjustments and recommends that fracture prediction models not include race or ethnicity adjustment but instead be population-based and reflective of US demographics, and inclusive of key clinical, behavioral, and social determinants (where applicable). Research cohorts should be representative vis-à-vis race, ethnicity, gender, and age. There should be standardized collection of race and ethnicity; collection of social determinants of health to investigate impact on fracture risk; and measurement of fracture rates and BMD in cohorts inclusive of those historically underrepresented in osteoporosis research.
Using race or ethnicity when calculating disease risk may contribute to health disparities. The ASBMR Task Force on Clinical Algorithms for Fracture Risk was created to understand the impact of the US Fracture Risk Assessment Tool (US-FRAX) race and ethnicity adjustments. The Task Force reviewed the historical development of FRAX, including the assumptions underlying selection of race and ethnicity adjustment factors. Furthermore, a systematic review of literature was conducted, which revealed an overall paucity of data evaluating the performance of US-FRAX in racially and ethnically diverse groups. While acknowledging the existence of racial and ethnic differences in fracture epidemiology, the Task Force determined that currently there is limited evidence to support the use of race and ethnicityspecific adjustments in US-FRAX. The Task Force also concluded that research is needed to create generalizable fracture risk calculators broadly applicable to current US demographics, which do not include race and ethnicity adjustments. Until such populationbased fracture calculators are available, clinicians should consider providing fracture risk ranges for Asian, Black, and/or Hispanic patients and should engage in shared decision-making with patients about fracture risk interpretation. Future studies are required to evaluate fracture risk tools in populations inclusive of those historically underrepresented in research.