Literature DB >> 25394074

Prevalence of low bone mineral density among HIV patients on long-term suppressive antiretroviral therapy in resource limited setting of western India.

Ameet Dravid1, Milind Kulkarni1, Amit Borkar1, Sachin Dhande1.   

Abstract

INTRODUCTION: Bone mineral density (BMD) assessment in HIV patients is sparsely done in resource limited settings.
MATERIALS AND METHODS: We conducted a cross-sectional study of BMD amongst HIV patients following up in our clinic from 1 June to 1 December 2013 by performing dual-energy X-ray absorptiometry scan (Lunar Prodigy Advanced DXA System, GE Healthcare) of lumbar spine and hip. Patients on long term (≥12 months), virologically suppressive antiretroviral therapy (ART) were included. Patients who were ART naïve were included as control population. Virologic failures were excluded. Low BMD was defined by WHO T-score criteria (normal: T score ≥-1;osteopenia: T score between -1 and -2.5 SD; osteoporosis: T score ≤-2.5 SD). Baseline risk factors associated with low BMD like age, low BMI, lipoatrophy, diabetes mellitus, current smoking, current alcohol intake, steroid exposure and menopause were recorded. ART-related factors associated with low BMD like ART duration, exposure to tenofovir and exposure to protease inhibitors (PI) were studied.
RESULTS: A total of 536 patients (66% males, 496 ART experienced and 40 ART naïve) were included in this analysis. Median age was 42 years, mean BMI 23.35 kg/m(2) and median CD4 count 146 cells/mm(3). All ART experienced patients had plasma viral load<400 copies/ml.
CONCLUSIONS: Extremely high prevalence of accelerated BMD loss amongst ART naïve and ART experienced patients in our cohort is a matter of deep concern due to its association with pathological fractures. Bone mineral loss was seen irrespective of ART used. Association of low BMD with low baseline CD4 count strengthens the case for early ART.

Entities:  

Year:  2014        PMID: 25394074      PMCID: PMC4224871          DOI: 10.7448/IAS.17.4.19567

Source DB:  PubMed          Journal:  J Int AIDS Soc        ISSN: 1758-2652            Impact factor:   5.396


Baseline characteristic of patients with normal and low BMD Univariate and multivariate regression analysis of risk factors associated with low BMD
Table 1

Baseline characteristic of patients with normal and low BMD

CharacteristicOverallNormal BMDLow BMDP value
Age (median, IQR)42 (37–48)39 (35–44)44 (38–49)P<0.001
BMI (median, IQR)23.3 (20.2–26.4)25.4 (22.2–28.6)22.8 (19.7–25.8)P<0.001
Lipoatrophy, n (%)61 (11%)8 (7%)53 (12%)0.13
Steroid, n (%)47 (9%)7 (6%)40 (9%)0.32
Smoking, n (%)26 (5%)2 (2%)24 (6%)0.1
Alcohol, n (%)56 (10%)12 (11%)44 (10%)0.86
Diabetes, n (%)26 (5%)5 (5%)21 (5%)0.87
Baseline CD4, median (IQR)146 (72–131)179 (76–287)140 (72–220)0.046
ART experienced, n (%)496 (90%)97 (88%)399 (94%)0.05
Table 2

Univariate and multivariate regression analysis of risk factors associated with low BMD

CharacteristicUnadjusted OR95% CI; p valueAdjusted OR95% CI; p value
Age1.051.02,1.06; p < 0.0011.061.03,1.09; p < 0.001
Female gender1.010.64,1.57; p = 0.971.320.82,2.16; p = 0.26
BMI0.890.85,0.93; p < 0.0010.860.82,0.91; p < 0.001
Lipoatrophy1.810.83,3.93; p = 0.13
Steroid1.520.66,3.5; p = 0.321.410.58,3.4; p = 0.45
Smoking3.220.75,13.85; p = 0.124.841.01,23.3; p = 0.05
Alcohol0.940.48,1.88; p = 0.86
Menopause9.892.29,42.8; p = 0.002
Baseline CD4 count0.920.88,0.97; p = 0.0030.960.9,1.03; p = 0.28
ART exposure1.980.99,3.98; p = 0.051.180.48,2.87; p = 0.28
TDF exposure1.180.58,2.4; p = 0.65
  9 in total

1.  Bone quality assessed using quantitative ultrasound at the distal radius does not differ in antiretroviral therapy-naïve HIV-positive and HIV-negative Rwandan women.

Authors:  E Mutimura; Q Shi; D R Hoover; K Anastos; E Rudakemwa; J C Dusingize; J D Sinabye; M T Yin
Journal:  HIV Med       Date:  2016-11       Impact factor: 3.180

2.  Analysis of antiretroviral therapy modification in routine clinical practice in the management of HIV infection.

Authors:  Carmen Sobrino-Jiménez; Inmaculada Jiménez-Nácher; Francisco Moreno-Ramos; María Ángeles González-Fernández; Mercedes Freire-González; Juan González-García; Alicia Herrero-Ambrosio
Journal:  Eur J Hosp Pharm       Date:  2016-07-21

Review 3.  Management of Reduced Bone Mineral Density in HIV: Pharmacological Challenges and the Role of Exercise.

Authors:  Enock M Chisati; Demitri Constantinou; Fanuel Lampiao
Journal:  Front Physiol       Date:  2018-08-07       Impact factor: 4.566

4.  Reduced bone mineral density among HIV infected patients on anti-retroviral therapy in Blantyre, Malawi: Prevalence and associated factors.

Authors:  Enock M Chisati; Demitri Constantinou; Fanuel Lampiao
Journal:  PLoS One       Date:  2020-01-14       Impact factor: 3.240

5.  Low bone mass in people living with HIV on long-term anti-retroviral therapy: A single center study in Uganda.

Authors:  Erisa Sabakaki Mwaka; Ian Guyton Munabi; Barbara Castelnuovo; Arvind Kaimal; William Kasozi; Andrew Kambugu; Philippa Musoke; Elly Katabira
Journal:  PLoS One       Date:  2021-02-05       Impact factor: 3.240

Review 6.  Perspectives on menopause and women with HIV.

Authors:  Nisha Andany; V Logan Kennedy; Muna Aden; Mona Loutfy
Journal:  Int J Womens Health       Date:  2016-01-11

Review 7.  Bone health and HIV in resource-limited settings: a scoping review.

Authors:  Flavia Kiweewa Matovu; Lalita Wattanachanya; Mags Beksinska; John M Pettifor; Kiat Ruxrungtham
Journal:  Curr Opin HIV AIDS       Date:  2016-05       Impact factor: 4.283

8.  TDF and quantitative ultrasound bone quality in African patients on second line ART, ANRS 12169 2LADY sub-study.

Authors:  Firmin Nongodo Kabore; Sabrina Eymard-Duvernay; Jacques Zoungrana; Stéphanie Badiou; Guillaume Bado; Arsène Héma; Assane Diouf; Eric Delaporte; Sinata Koulla-Shiro; Laura Ciaffi; Amandine Cournil
Journal:  PLoS One       Date:  2017-11-08       Impact factor: 3.240

9.  Occurrence & predictors of osteoporosis & impact of body composition alterations on bone mineral health in asymptomatic pre-menopausal women with HIV infection.

Authors:  Deep Dutta; Umesh Chandra Garga; Adesh Kisanji Gadpayle; Rahul Bansal; Atul Anand; Kumar Gaurav; Lokesh Kumar Sharma; Neera Sharma
Journal:  Indian J Med Res       Date:  2018-05       Impact factor: 2.375

  9 in total

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