 |
MOPE087 - Poster Exhibition
Proton pump inhibitor and protease inhibitor use are associated with fragility fracture risk in HIV-positive male veterans
J. Womack1,2, J. Goulet2,3, C. Gibert4,5, C. Brandt2,6, B. Gulanski2,7, D. Rimland8,9, M. Rodriguez-Barradas10,11, J. Tate2, M. Yin12, A. Justice2,7, Veterans Aging Cohort Study Project Team
1Yale School of Nursing, New Haven, United States, 2VA Connecticut Healthcare System, West Haven, United States, 3Yale School of Medicine, Psychiatry, New Haven, United States, 4Veterans Affairs Medical Center, Washington, United States, 5George Washington University, Medicine, Washington, United States, 6Yale Center for Medical Informatics, New Haven, United States, 7Yale School of Medicine, Internal Medicine, New Haven, United States, 8Veterans Affairs Medical Center, Atlanta, United States, 9Emory University School of Medicine, Atlanta, United States, 10Michael E. DeBakey VA Medical Center, Medical Service, Houston, United States, 11Baylor College of Medicine, Medicine, Houston, United States, 12Columbia University Medical Center, Medicine, New York, United States
Background: Prior research suggests that severity of illness plays a role in fracture risk among HIV infected (HIV+) individuals. The VACS Index has been shown to be a novel predictor of 5 year mortality and ICU admissions for HIV+ individuals and thus may capture illness severity. We explored the association of traditional and HIV-specific risk factors for fragility fracture when controlling for the VACS Index as a time-updated covariate. Methods: Cox regression was used to assess risk factors for incident hip, vertebral, or upper arm fracture as defined by ICD-9-CM codes in HIV+ men enrolled in the Veterans Aging Cohort Study (VACS). The VACS Index, protease inhibitor use, tenofovir use, steroid use, and proton pump inhibitor (PPI) use were modeled as time-varying covariates. All other variables were evaluated at study enrollment. Missing data was imputed using SAS PROCs MI and MIANALYZE. Results: [40,115 HIV+ male Veterans experienced 588 fragility fractures over a mean follow-up of 6.0±3.9 years (Tables 1-3). The VACS Index (HR: 1.08; 95% CI: 1.06, 1.11), white race (1.94; 1.64, 2.30), body mass index (BMI) (0.88;0.78, 0.98), alcohol-related diagnoses (1.58; 1.21, 2.08), cerebrovascular disease (CVD) (1.87; 1.09, 3.20), PPI use (1.81; 1.48, 2.20), and protease inhibitor use (1.28; 1.07, 1.52) were associated with fracture risk (Tables 2 and 3).
| Variable | Means, HIV+ Male Veterans
N=40,115 | | Follow-up time | 6.0±3.9 years | | Age at baseline | 46±10 years | | Age at time of fracture | 53±10 years |
[Table 1. Sample Characteristics (Means)]
| Variable | Median (IQR),
HIV+ Male Veterans
N=40,115 | Hazard Ratio (95% CI) | | CD4 (cells/mm3) at baseline | 278 (112, 472) | -- | | HIV RNA (copies/mL) at baseline | 10,408 (480, 77987) | -- | | VACS Index Score | 33 (18-53) | 1.08 (1.06, 1.11) | | BMI (m/kg2) at baseline | 25 (22, 28) | 0.88 (0.78, 0.98) |
[Table 2. Sample Characteristics(Median)/Regression]
| Variable | Percent, HIV+ Male Veterans,
N=40,115 | Hazard Ratio (95% CI) | | White race | 37 | 1.94 (1.64, 2.30) | | Alcohol-related diagnoses | 16 | 1.58 (1.21, 2.08) | | Cerebrovascular disease/stroke | 2 | 1.87 (1.09, 3.20) | | Any proton pump inhibitor use | 36 | 1.81 (1.48, 2.20) | | Any protease inhibitor use | 64 | 1.28 (1.07, 1.52) | | Smoking (past or current) | 75 | 1.11 (0.90, 1.36) | | Any steroid use | 21 | 1.36 (0.97, 1.91) | | Tenofovir use | 22 | 1.16 (0.89, 1.52) | | Drug use/abuse | 19 | 1.08 (0.82, 1.42) |
[Table 3. Sample Characteristics (%) /Regression]
Conclusions: Even when adjusting for the VACS Index, a novel marker of HIV-disease severity, PPI and protease inhibitor use were associated with fragility fractures among HIV+ male Veterans. CVD, an important predictor of fragility fractures in the general population likely mediated through falls, was also an important predictor of fractures. Steroid use and smoking were not significant risk factors in this model. The low level of exposure to steroids and the fact that we accounted for BMI, alcohol use, and disease severity may account for the weak associations.
Download the e-Poster
Back to the Programme-at-a-Glance
|
|