Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls

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Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls. / Thomsen, Magda T.; Wiegandt, Yaffah L.; Gelpi, Marco; Knudsen, Andreas D.; Fuchs, Andreas; Sigvardsen, Per E.; Kühl, Jørgen T.; Nordestgaard, Børge; Køber, Lars; Lundgren, Jens; Hansen, Ann Brit E.; Kofoed, Klaus F.; Jensen, Jens Erik B.; Nielsen, Susanne D.

I: Journal of acquired immune deficiency syndromes (1999), Bind 83, Nr. 2, 02.2020, s. 165-172.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Thomsen, MT, Wiegandt, YL, Gelpi, M, Knudsen, AD, Fuchs, A, Sigvardsen, PE, Kühl, JT, Nordestgaard, B, Køber, L, Lundgren, J, Hansen, ABE, Kofoed, KF, Jensen, JEB & Nielsen, SD 2020, 'Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls', Journal of acquired immune deficiency syndromes (1999), bind 83, nr. 2, s. 165-172. https://doi.org/10.1097/QAI.0000000000002245

APA

Thomsen, M. T., Wiegandt, Y. L., Gelpi, M., Knudsen, A. D., Fuchs, A., Sigvardsen, P. E., Kühl, J. T., Nordestgaard, B., Køber, L., Lundgren, J., Hansen, A. B. E., Kofoed, K. F., Jensen, J. E. B., & Nielsen, S. D. (2020). Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls. Journal of acquired immune deficiency syndromes (1999), 83(2), 165-172. https://doi.org/10.1097/QAI.0000000000002245

Vancouver

Thomsen MT, Wiegandt YL, Gelpi M, Knudsen AD, Fuchs A, Sigvardsen PE o.a. Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls. Journal of acquired immune deficiency syndromes (1999). 2020 feb.;83(2):165-172. https://doi.org/10.1097/QAI.0000000000002245

Author

Thomsen, Magda T. ; Wiegandt, Yaffah L. ; Gelpi, Marco ; Knudsen, Andreas D. ; Fuchs, Andreas ; Sigvardsen, Per E. ; Kühl, Jørgen T. ; Nordestgaard, Børge ; Køber, Lars ; Lundgren, Jens ; Hansen, Ann Brit E. ; Kofoed, Klaus F. ; Jensen, Jens Erik B. ; Nielsen, Susanne D. / Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls. I: Journal of acquired immune deficiency syndromes (1999). 2020 ; Bind 83, Nr. 2. s. 165-172.

Bibtex

@article{0eca302772b24649a112e6e524fe7a4e,
title = "Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls",
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.",
author = "Thomsen, {Magda T.} and Wiegandt, {Yaffah L.} and Marco Gelpi and Knudsen, {Andreas D.} and Andreas Fuchs and Sigvardsen, {Per E.} and K{\"u}hl, {J{\o}rgen T.} and B{\o}rge Nordestgaard and Lars K{\o}ber and Jens Lundgren and Hansen, {Ann Brit E.} and Kofoed, {Klaus F.} and Jensen, {Jens Erik B.} and Nielsen, {Susanne D.}",
year = "2020",
month = feb,
doi = "10.1097/QAI.0000000000002245",
language = "English",
volume = "83",
pages = "165--172",
journal = "J A I D S",
issn = "1525-4135",
publisher = "Lippincott Williams & Wilkins",
number = "2",

}

RIS

TY - JOUR

T1 - Prevalence of and Risk Factors for Low Bone Mineral Density Assessed by Quantitative Computed Tomography in People Living With HIV and Uninfected Controls

AU - Thomsen, Magda T.

AU - Wiegandt, Yaffah L.

AU - Gelpi, Marco

AU - Knudsen, Andreas D.

AU - Fuchs, Andreas

AU - Sigvardsen, Per E.

AU - Kühl, Jørgen T.

AU - Nordestgaard, Børge

AU - Køber, Lars

AU - Lundgren, Jens

AU - Hansen, Ann Brit E.

AU - Kofoed, Klaus F.

AU - Jensen, Jens Erik B.

AU - Nielsen, Susanne D.

PY - 2020/2

Y1 - 2020/2

N2 - 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.

AB - 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.

U2 - 10.1097/QAI.0000000000002245

DO - 10.1097/QAI.0000000000002245

M3 - Journal article

C2 - 31929404

AN - SCOPUS:85077765385

VL - 83

SP - 165

EP - 172

JO - J A I D S

JF - J A I D S

SN - 1525-4135

IS - 2

ER -

ID: 243424292