Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk.

The American Society of Bone and Mineral Research (ASBMR) Professional Practice Committee charged an ASBMR Task Force on Clinical Algorithms for Fracture Risk to review the evidence on whether current approaches for differentiating fracture risk based on race and ethnicity are necessary and valid. To help address these charges, we performed a systematic literature review investigating performance of calculators for predicting incident fractures within and across race and ethnicity groups in middle-aged and older US adults. We included English-language, controlled or prospective cohort studies that enrolled US adults aged >40 years and reported tool performance predicting incident fractures within individual race and ethnicity groups for up to 10 years. From 4838 identified references, six reports met eligibility criteria, all in women. Just three, all from one study, included results in non-white individuals. In these three reports, non-white women experienced relatively few major osteoporotic fractures (MOFs), especially hip fractures, and risk thresholds for predicting fractures in non-white women were derived from risks in the overall, predominantly white study population. One report suggested the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD) overestimated hip fracture similarly across race and ethnicity groups (black, Hispanic, American Indian, Asian, white) but overestimated MOF more in non-white than White women. However, these three reports were inconclusive regarding whether discrimination of FRAX or the Garvan calculator without BMD or of FRAX with BMD for MOF or hip fracture differed between white versus black women. This uncertainty was at least partly due to imprecise hip fracture estimates in black women. No reports examined whether ratios of observed to predicted hip fracture risks within each race or ethnicity group varied across levels of predicted hip fracture risk. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR). This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Fink HA ，Butler ME ，Claussen AM ，Collins ES ，Krohn KM ，Taylor BC ，Tikabo SS ，Vang D ，Zerzan NL ，Ensrud KE ... -  《-》

The American Society for Bone and Mineral Research Task Force on clinical algorithms for fracture risk report.

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.

Burnett-Bowie SM ，Wright NC ，Yu EW ，Langsetmo L ，Yearwood GMH ，Crandall CJ ，Leslie WD ，Cauley JA ... -  《-》

Effect of Race/Ethnicity on United States FRAX Calculations and Treatment Qualification: A Registry-Based Study.

Leslie WD ，ASBMR Task Force on Clinical Algorithms for Fracture Risk 《-》

Fracture prediction from FRAX for Canadian ethnic groups: a registry-based cohort study.

Leslie WD ，Morin SN ，Lix LM ，McCloskey EV ，Johansson H ，Harvey NC ，Kanis JA ... -  《-》

How well do the FRAX (Australia) and Garvan calculators predict incident fractures? Data from the Geelong Osteoporosis Study.

Holloway-Kew KL ，Zhang Y ，Betson AG ，Anderson KB ，Hans D ，Hyde NK ，Nicholson GC ，Pocock NA ，Kotowicz MA ，Pasco JA ... -  《-》