Michael T Yin1, Stephanie Shiau, David Rimland, Cynthia L Gibert, Roger J Bedimo, Maria C Rodriguez-Barradas, Katherine Harwood, Josh Aschheim, Amy C Justice, Julie A Womack. 1. *Department of Medicine, Columbia University Medical Center, New York, NY; †Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY; ‡VA Medical Center, Emory University School of Medicine, Atlanta, GA; §VA Medical Center and Department of Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC; ‖VA North Texas Healthcare System, Dallas, TX; ¶Michael E DeBakey VA Medical Center, Infectious Diseases Section, and Department of Medicine, Baylor College of Medicine, Houston, TX; #Arcadia Healthcare Solutions, New York, NY; **Yale School of Medicine, New Haven, CT; ††VA Connecticut Healthcare System, West Haven, CT; and ‡‡Yale School of Nursing, West Haven, CT.
Abstract
BACKGROUND: FRAX is a validated, computer-based clinical fracture risk calculator that estimates the 10-year risk of major osteoporotic (clinical spine, forearm, hip, or shoulder) fracture, and hip fracture alone. It is widely used for decision making in fracture prevention, but it may underestimate the risk in HIV-infected individuals. Some experts recommend considering HIV as a cause of secondary osteoporosis when calculating FRAX in HIV-infected individuals. METHODS: From the Veterans Aging Cohort Study Virtual Cohort, we included 24,451 HIV-infected and uninfected men aged 50-70 years with complete data in the year 2000 to approximate all but 2 factors (ie, history of secondary osteoporosis and parental hip fracture) for modified-FRAX calculation without bone density and 10-year observational data for incident fragility fracture. The accuracy of the modified-FRAX calculation was compared by the observed/estimated (O/E) ratios of fracture by HIV status. RESULTS: The accuracy of modified-FRAX was less for HIV-infected [O/E = 1.62, 95% confidence interval (CI) 1.45 to 1.81] than uninfected men (O/E = 1.29, 95% CI: 1.19 to 1.40), but improved when HIV was included as a cause of secondary osteoporosis (O/E = 1.20, 95% CI: 1.08 to 1.34). However, only 3%-6% of men with incident fractures were correctly identified by the modified-FRAX using accepted FRAX thresholds for pharmacologic therapy. CONCLUSIONS: Modified-FRAX underestimated the fracture rates more in older HIV-infected than in otherwise similar uninfected men. The accuracy improved when HIV was included as a cause of secondary osteoporosis, but it still performed poorly for case finding. Further studies are necessary to determine how to use FRAX or define an HIV-specific index to risk stratify for screening and treatment in older HIV-infected individuals.
BACKGROUND: FRAX is a validated, computer-based clinical fracture risk calculator that estimates the 10-year risk of major osteoporotic (clinical spine, forearm, hip, or shoulder) fracture, and hip fracture alone. It is widely used for decision making in fracture prevention, but it may underestimate the risk in HIV-infected individuals. Some experts recommend considering HIV as a cause of secondary osteoporosis when calculating FRAX in HIV-infected individuals. METHODS: From the Veterans Aging Cohort Study Virtual Cohort, we included 24,451 HIV-infected and uninfected men aged 50-70 years with complete data in the year 2000 to approximate all but 2 factors (ie, history of secondary osteoporosis and parental hip fracture) for modified-FRAX calculation without bone density and 10-year observational data for incident fragility fracture. The accuracy of the modified-FRAX calculation was compared by the observed/estimated (O/E) ratios of fracture by HIV status. RESULTS: The accuracy of modified-FRAX was less for HIV-infected [O/E = 1.62, 95% confidence interval (CI) 1.45 to 1.81] than uninfected men (O/E = 1.29, 95% CI: 1.19 to 1.40), but improved when HIV was included as a cause of secondary osteoporosis (O/E = 1.20, 95% CI: 1.08 to 1.34). However, only 3%-6% of men with incident fractures were correctly identified by the modified-FRAX using accepted FRAX thresholds for pharmacologic therapy. CONCLUSIONS: Modified-FRAX underestimated the fracture rates more in older HIV-infected than in otherwise similar uninfected men. The accuracy improved when HIV was included as a cause of secondary osteoporosis, but it still performed poorly for case finding. Further studies are necessary to determine how to use FRAX or define an HIV-specific index to risk stratify for screening and treatment in older HIV-infected individuals.
Authors: Naim M Maalouf; Song Zhang; Henning Drechsler; Geri R Brown; Pablo Tebas; Roger Bedimo Journal: J Bone Miner Res Date: 2013-12 Impact factor: 6.741
Authors: Julie A Womack; Joseph L Goulet; Cynthia Gibert; Cynthia A Brandt; Melissa Skanderson; Barbara Gulanski; David Rimland; Maria C Rodriguez-Barradas; Janet Tate; Michael T Yin; Amy C Justice Journal: Clin Infect Dis Date: 2013-02-01 Impact factor: 9.079
Authors: Alexandra Calmy; Christoph A Fux; Richard Norris; Nathalie Vallier; Cécile Delhumeau; Katherine Samaras; Karl Hesse; Bernard Hirschel; David A Cooper; Andrew Carr Journal: J Infect Dis Date: 2009-12-01 Impact factor: 5.226
Authors: Meghan G Donaldson; Lisa Palermo; John T Schousboe; Kristine E Ensrud; Marc C Hochberg; Steven R Cummings Journal: J Bone Miner Res Date: 2009-11 Impact factor: 6.741
Authors: Anda Gonciulea; Ruibin Wang; Keri N Althoff; Michelle M Estrella; Deborah E Sellmeyer; Frank J Palella; Jordan E Lake; Lawrence A Kingsley; Todd T Brown Journal: J Acquir Immune Defic Syndr Date: 2019-07-01 Impact factor: 3.731
Authors: Evelyn Hsieh; Stephanie Shiau; Olivia Nolan; Cynthia L Gibert; Roger J Bedimo; Maria C Rodriguez-Barradas; Amy C Justice; Julie A Womack; Michael T Yin Journal: Clin Infect Dis Date: 2019-09-13 Impact factor: 9.079
Authors: Jingyan Yang; Anjali Sharma; Qiuhu Shi; Kathryn Anastos; Mardge H Cohen; Elizabeth T Golub; Deborah Gustafson; Daniel Merenstein; Wendy J Mack; Phyllis C Tien; Jeri W Nieves; Michael T Yin Journal: AIDS Date: 2018-07-31 Impact factor: 4.177
Authors: Anda Gonciulea; Ruibin Wang; Keri N Althoff; Frank J Palella; Jordan Lake; Lawrence A Kingsley; Todd T Brown Journal: AIDS Date: 2017-06-19 Impact factor: 4.177
Authors: Patricia Atencio; Francisco Miguel Conesa-Buendía; Alfonso Cabello-Ubeda; Patricia Llamas-Granda; Ramón Pérez-Tanoira; Laura Prieto-Pérez; Beatriz Álvarez Álvarez; Irene Carrillo Acosta; Rosa Arboiro-Pinel; Manuel Díaz-Curiel; Raquel Largo; Gabriel Herrero-Beaumont; Miguel Górgolas; Aránzazu Mediero Journal: Curr HIV Res Date: 2021 Impact factor: 1.341