Performance of a modified fracture risk assessment tool for fragility fracture prediction among older veterans living with HIV

Author:

Womack Julie A.12,Murphy Terrence E.3,Leo-Summers Linda4,Kidwai-Khan Farah14,Skanderson Melissa14,Gill Thomas M.4,Gulanski Barbara4,Rodriguez-Barradas Maria C.5,Tien Phyllis C.6,Yin Michael T.7,Hsieh Evelyn14

Affiliation:

1. VA Connecticut Healthcare System

2. Yale School of Nursing, West Haven, Connecticut

3. Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania

4. Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut

5. Infectious Diseases Section, Michael E DeBakey VA Medical Center, and Department of Medicine, Baylor College of Medicine, Houston, Texas

6. Department of Veterans Affairs, University of California, San Francisco, San Francisco, California

7. Division of Infectious Diseases, Columbia University Medical Center, New York, New York, USA.

Abstract

Objective: Fragility fractures (fractures) are a critical outcome for persons aging with HIV (PAH). Research suggests that the fracture risk assessment tool (FRAX) only modestly estimates fracture risk among PAH. We provide an updated evaluation of how well a ‘modified FRAX’ identifies PAH at risk for fractures in a contemporary HIV cohort. Design: Cohort study. Methods: We used data from the Veterans Aging Cohort Study to evaluate veterans living with HIV, aged 50+ years, for the occurrence of fractures from 1 January 2010 through 31 December 2019. Data from 2009 were used to evaluate the eight FRAX predictors available to us: age, sex, BMI, history of previous fracture, glucocorticoid use, rheumatoid arthritis, alcohol use, and smoking status. These predictor values were then used to estimate participant risk for each of two types of fractures (major osteoporotic and hip) over the subsequent 10 years in strata defined by race/ethnicity using multivariable logistic regression. Results: Discrimination for major osteoporotic fracture was modest [Blacks: area under the curve (AUC) 0.62; 95% confidence interval (CI) 0.62, 0.63; Whites: AUC 0.61; 95% CI 0.60, 0.61; Hispanic: AUC 0.63; 95% CI 0.62, 0.65]. For hip fractures, discrimination was modest to good (Blacks: AUC 0.70; 95% CI 0.69, 0.71; Whites: AUC 0.68; 95% CI 0.67, 0.69]. Calibration was good in all models across all racial/ethnic groups. Conclusion: Our ‘modified FRAX’ exhibited modest discrimination for predicting major osteoporotic fracture and slightly better discrimination for hip fracture. Future studies should explore whether augmentation of this subset of FRAX predictors results in enhanced prediction of fractures among PAH.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Infectious Diseases,Immunology,Immunology and Allergy

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