| Literature DB >> 22768330 |
Aggrey S Semeere1, Damalie Nakanjako, Henry Ddungu, Andrew Kambugu, Yukari C Manabe, Robert Colebunders.
Abstract
Malnutrition is common among HIV-infected individuals and is often accompanied by low serum levels of micronutrients. Vitamin B-12 deficiency has been associated with various factors including faster HIV disease progression and CD4 depletion in resource-rich settings. To describe prevalence and factors associated with sub-optimal vitamin B-12 levels among HIV-infected antiretroviral therapy (ART) naïve adults in a resource-poor setting, we performed a cross-sectional study with a retrospective chart review among individuals attending either the Mulago-Mbarara teaching hospitals' Joint AIDS Program (MJAP) or the Infectious Diseases Institute (IDI) clinics, in Kampala, Uganda. Logistic regression was used to determine factors associated with sub-optimal vitamin B-12. The mean vitamin B-12 level was 384 pg/ml, normal range (200-900). Sub-optimal vitamin B-12 levels (<300 pg/ml) were found in 75/204 (36.8%). Twenty-one of 204 (10.3%) had vitamin B-12 deficiency (<200 pg/ml) while 54/204 (26.5%) had marginal depletion (200-300 pg/ml). Irritable mood was observed more among individuals with sub-optimal vitamin B-12 levels (OR 2.5, 95% CI; 1.1-5.6, P=0.03). Increasing MCV was associated with decreasing serum B-12 category; 86.9 fl (± 5.1) vs. 83 fl (± 8.4) vs. 82 fl (± 8.4) for B-12 deficiency, marginal and normal B-12 categories respectively (test for trend, P=0.017). Compared to normal B-12, individuals with vitamin B-12 deficiency had a longer known duration of HIV infection: 42.2 months (± 27.1) vs. 29.4 months (± 23.8; P=0.02). Participants eligible for ART (CD4<350 cells/µl) with sub-optimal B-12 had a higher mean rate of CD4 decline compared to counterparts with normal B-12; 118 (± 145) vs. 22 (± 115) cells/µl/year, P=0.01 respectively. The prevalence of a sub-optimal vitamin B-12 was high in this HIV-infected, ART-naïve adult clinic population in urban Uganda. We recommend prospective studies to further clarify the causal relationships of sub-optimal vitamin B-12, and explore the role of vitamin B-12 supplementation in immune recovery.Entities:
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Year: 2012 PMID: 22768330 PMCID: PMC3388039 DOI: 10.1371/journal.pone.0040072
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
A comparison of characteristics by serum vitamin B-12 group among adult HIV-infected ART naïve participants at two urban HIV clinics in Uganda, in April 2010.
| Characteristic | Category | Sub-optimal Vitamin B-12(<300 pg/ml) N = 75 | Normal VitaminB-12 (>300 pg/ml) N = 129 | P-value |
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| 24(32.0) | 49(38.3) | 0.66 |
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| 46(61.3) | 70(54.7) | ||
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| 5 (6.7) | 9(7.0) | ||
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| 57 (76.0) | 90 (69.8) | 0.34 | |
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| 41(54.7) | 67(51.9) | 0.71 | |
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| 6 (8.0) | 15 (11.6) | 0.26 |
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| 28 (37.3) | 59 (45.7) | ||
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| 41 (54.7) | 55 (42.6) | ||
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| 13(17.3) | 35(26.9) | 0.12 |
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| 62(82.7) | 95(73.1) | ||
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| 56 (37.8) | 92 (62.2) | 0.55 |
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| 19 (33.3) | 38 (66.7) | ||
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| 32(42.7) | 45(34.9) | 0.27 | |
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| 26(34.7) | 54(42.2) | 0.29 | |
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| 64 (85.3) | 108 (83.7) | |
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| 11 (14.7) | 21 (16.3) | 0.76 | |
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| 19 (25.3) | 17 (13.2) |
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| 2 (2.7) | 5 (3.9) | 0.65 | |
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| 7(9.3) | 12(9.4) | 0.99 |
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| 20(26.7) | 39(30.5) | 0.56 | |
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| 15(20.0) | 18(14.1) | 0.27 | |
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| 14(18.7) | 30(23.4) | 0.43 | |
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| 2(2.7) | 10(7.8) | 0.14 | |
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| 30(40.0) | 68(53.1) | 0.07 | |
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| 5(3.9) | 5(3.9) | 1.00 | |
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| 5 (6.7) | 18 (13.9) | 0.11 | |
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| 24.7(4.7) | 23.4(4.6) | 0.07 | |
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| 84.0(7.8) | 82.0(8.4) | 0.08 | |
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| 542 (410–714) | 501(370–662) | 0.11 | |
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| 406 (326–607) | 418 (314–547) | 0.71 | |
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| 25 (33.3) | 40 (30.8) | 0.70 | |
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| 36.1 (30.0) | 29.3(23.8) | 0.09 |
IQR- Inter Quartile Range, BMI- Body Mass Index, WHO-World health Organization, MCV-Mean Corpuscular Volume, Hb- Hemoglobin. IDI- Infectious Disease Institute, MJAP- Mulago-Mbarara Teaching Hospitals’ Joint AIDS Program T-tests were used to compare means and the chi-square for proportions, except where mentioned.
Some missing data. N = 113 for Normal B-12 & 70 for Sub-Optimal B-12.
Risk factors for sub-optimal vitamin B-12 among adult HIV-infected ART naïve individuals at two urban HIV clinics in Uganda, in April 2010.
| Predictor variable | Unadjusted OR | 95% CI |
| Adjusted OR | 95% CI |
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| 1.0 | 0.9–1.04 | 0.42 | 1.0 | 0.9–1.0 | 0.75 |
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| 1.4 | 0.7–2.7 | 0.30 | 1.7 | 0.8–3.9 | 0.19 |
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| 0.7 | 0.4–1.3 | 0.25 | 0.7 | 0.4–1.3 | 0.30 |
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| 0.8 | 0.4–1.9 | 0.7 | 1.0 | 0.4–2.4 | 0.93 |
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| 1.7 | 0.8–3.6 | 0.13 | 1.7 | 0.7–4.0 | 0.21 |
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| 1.0 | 0.9–1.0 | 0.90 | 1.0 | 0.9–1.0 | 0.50 |
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| 1.1 | 0.9–1.2 | 0.07 | 1.0 | 0.9–1.1 | 0.30 |
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| 1.1 | 1.0–1.3 | 0.08 | 1.0 | 1.0–1.1 | 0.24 |
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| 0.4 | 0.1–1.6 | 0.21 | 0.4 | 0.2–1.5 | 0.20 |
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| 1.0 | 0.9–1.1 | 0.08 | 1.0 | 0.9–1.1 | 0.50 |
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| 1.0 | 0.9–1.0 | 0.32 | 1.0 | 0.9–1.0 | 0.24 |
Adjusted for age, sex, BMI, supplement use, MCV, occupation, irritable mood, known duration with HIV, WHO disease stage and current CD4.
Adjusted for,age, sex, BMI, WHO stage, supplement use.
BMI- Body Mass Index, MCV-Mean Corpuscular Volume, OR Odds Ratio, WHO-World health Organization.
Risk factors for sub-optimal serum vitamin B-12 among adult HIV-infected ART naïve participants who did not report using vitamin B-12 containing supplements at two urban HIV clinics in Uganda, in April 2010.
| Predictor variable | Unadjusted OR | 95% CI |
| Adjusted OR | 95% CI |
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| 1.0 | 0.9–1.04 | 0.9 | 0.9 | 0.8–1.0 | 0.09 |
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| 1.1 | 0.5–2.5 | 0.70 | 0.6 | 0.2–2.1 | 0.47 |
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| 1.9 | 0.4–2.5 | 0.90 | 1.9 | 0.6–6.2 | 0.30 |
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| 1.9 | 0.7–4.5 | 0.20 | 1.9 | 0.6–6.1 | 0.27 |
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| 1.0 | 0.9–1.0 | 0.80 | 1.0 | 0.9–1.0 | 0.90 |
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| 0.6 | 0.2–2.5 | 0.50 | 0.6 | 0.1–2.6 | 0.40 |
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| 1.0 | 0.9–1.0 | 0.82 | 1.0 | 0.9–1.0 | 0.46 |
Adjusted for age, sex, BMI, supplement use, MCV, occupation, irritable mood, known duration with HIV, WHO disease stage and current CD4.
Adjusted for,age, sex, BMI, WHO stage, supplement use.
BMI- Body Mass Index, MCV-Mean Corpuscular Volume, OR Odds Ratio, WHO-World health Organization.
Risk factors for sub-optimal B-12 among adult HIV- infected ART naïve participants eligible for ART (CD4<350 cells/µl) at two urban HIV clinics in Uganda, in April 2010.
| Predictor variables | Unadjusted OR | 95% CI |
| Adjusted OR | 95% CI |
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| 1.0 | 0.9–1.0 | 0.50 | 1.0 | 0.9–1.1 | 0.24 |
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| 1.5 | 0.5–4.7 | 0.50 | 1.5 | 0.3–7.3 | 0.60 |
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| 0.8 | 0.2–2.5 | 0.60 | 0.5 | 0.1–2.6 | 0.40 |
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| 1.0 | 0.3–3.4 | 0.90 | 0.5 | 0.1–2.5 | 0.40 |
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| 1.0 | 0.9–1.0 | 0.90 | 1.0 | 0.9–1.1 | 0.80 |
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| 1.3 | 0.4–3.7 | 0.60 | 2.1 | 0.5–7.9 | 0.30 |
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| 1.0 | 0.9–1.10 | 0.90 | 0.8 | 0.8–1.1 | 0.60 |
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| 1.1 | 0.8–1.30 | 0.70 | 1.0 | 1.0–1.3 | 0.10 |
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| 0.6 | 0.2–3.4 | 0.60 | 0.6 | 0.1–3.9 | 0.60 |
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| 1.0 | 1.0–1.10 | 0.30 | 1.0 | 1.0–1.1 | 0.30 |
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Adjusted for age, sex, BMI, supplement use, MCV, occupation, irritable mood, known duration with HIV, WHO disease stage and current CD4.
Adjusted for,age, sex, BMI, WHO stage, supplement use.
BMI- Body Mass Index, MCV-Mean Corpuscular Volume, OR Odds Ratio, WHO-World health Organization.