1. Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls
- Author
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Andreas Fuchs, Lars Køber, Susanne Dam Nielsen, Per E Sigvardsen, Andreas Knudsen, Yaffah L. Wiegandt, Magda Teresa Thomsen, Børge G. Nordestgaard, Ann-Brit Eg Hansen, Jens-Erik Beck Jensen, Jens D Lundgren, Klaus F. Kofoed, Marco Gelpi, and Jørgen Tobias Kühl
- Subjects
musculoskeletal diseases ,Male ,medicine.medical_specialty ,Bone density ,Cross-sectional study ,HIV Infections ,Comorbidity ,Bone Density ,Risk Factors ,Internal medicine ,medicine ,Odds Ratio ,Prevalence ,Humans ,Pharmacology (medical) ,Longitudinal Studies ,Quantitative computed tomography ,Bone mineral ,medicine.diagnostic_test ,business.industry ,Odds ratio ,Middle Aged ,Confidence interval ,Bone Diseases, Metabolic ,Infectious Diseases ,Cross-Sectional Studies ,Population study ,Female ,business ,Tomography, X-Ray Computed ,Body mass index - Abstract
Background Low bone mineral density (BMD) has been described in people living with HIV (PLWH). We examined the prevalence of low BMD measured by quantitative computed tomography (QCT), a method that allows 3-dimensional volumetric density measures at the thoracic spine, in well-treated PLWH and uninfected controls and assessed risk factors for reduced BMD. Methods Cross-sectional study including 718 PLWH from the Copenhagen Co-Morbidity in HIV infection (COCOMO) study and 718 uninfected controls matched on age and sex from the Copenhagen General Population Study (CGPS). Trabecular BMD was determined by QCT. Results Median BMD was 144.2 mg/cm in PLWH vs. 146.6 mg/cm in controls (P = 0.580). HIV status was not associated with BMD in univariable or multivariable linear analyses. However, a higher prevalence of very low BMD (T-score ≤ -2.5) was found in PLWH (17.2% vs. 11.0% in controls, P = 0.003). In unadjusted analysis, HIV was associated with very low BMD (odds ratio 1.68 [95% confidence interval: 1.24-2.27], P = 0.001), but this association was not significant after adjusting for age, sex, smoking, alcohol, body mass index, physical activity, and ethnicity. Previous AIDS-defining disease was associated with lower BMD, but no other associations with HIV-specific variables were identified. Conclusion Using QCT, we found a higher prevalence of very low BMD in PLWH than in controls. However, HIV status was not independently associated with BMD indicating that traditional risk factors contribute to the difference in prevalence of very low BMD. Focus on improvement of lifestyle factors, especially in PLWH with previous AIDS-defining disease, may prevent very low BMD in PLWH.
- Published
- 2020