| Literature DB >> 19099553 |
Tumaini J Nagu1, Muhammad Bakari, Mecky Matee.
Abstract
BACKGROUND: Tanzania is currently scaling-up access to anti-retro viral therapy (ART) to reach as many eligible persons as possible. Hepatitis viral co-infections are known to influence progression, management as well as outcome of HIV infection. However, information is scarce regarding the prevalence and predictors of viral hepatitis co-infection among HIV-infected individuals presenting at the HIV care and treatment clinics in the country.Entities:
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Year: 2008 PMID: 19099553 PMCID: PMC2625357 DOI: 10.1186/1471-2458-8-416
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Socio-demographic characteristics of the study population (n = 260)
| < 0.01 | ||||
| 18 – 29 | 3 (3.8) | 48 (26.3) | 51 (19.6) | |
| 30 – 39 | 38 (48.7) | 87 (47.8) | 125 (48.1) | |
| 40 – 49 | 28 (35.9) | 31 (17.0) | 59 (22.7) | |
| 50+ | 9 (11.5) | 16 (8.8) | 25 (9.6) | |
| 0.04 | ||||
| Single | 16 (20.5) | 51 (28.0) | 67 (25.8) | |
| Married | 47 (60.3) | 83 (45.6) | 130 (50.0) | |
| Divorced | 10 (12.8) | 18 (9.9) | 28 (10.8) | |
| Widowed | 5 (6.4) | 30 (16.5) | 35 (13.5) | |
| 0.04 | ||||
| Primary & below | 44 (56.4) | 125 (68.7) | 169 (65.0) | |
| Secondary | 22 (28.2) | 41 (22.5) | 63 (24.2) | |
| Post Secondary | 12 (15.4) | 16 (8.8) | 28 (10.8) | |
| < 200 | 43 (56.6) | 77 (46.1) | 120 (49.4) | |
| 200 – 350 | 19 (25.0) | 27 (16.2) | 46 (18.9) | |
| > 350 | 14 (18.4) | 63 (37.7) | 77 (31.7) | < 0.01 |
| 0.66 | ||||
| 15 (19.2) | 45 (24.7) | 60 (23.1) | ||
| 20 (25.6) | 47 (25.8) | 67 (25.8) | ||
| 32 (41.0) | 72 (39.6) | 104 (40.0) | ||
| 11 (14.1) | 18 (9.9) | 29 (11.2) |
Sero-prevalence of viral hepatitis markers among the study population (n = 260)
| 8 (3.1) | 1.3 – 6.0 | |
| 45 (17.3) | 12.9 – 22.5 | |
| 6 (2.3) | 0.9 – 5.0 | |
| 47 (18.1) | 13.6 – 23.3 | |
| 4 (1.6) | 0.4 – 3.9 | |
| 10 (3.9) | 1.9 – 7.0 | |
| 90(34.6) | 28.9 – 40.7 |
Sero-prevalence of viral hepatitis markers according to demographic characteristics (n = 260)
| 18 – 29 | 51 | 1 (2.0) | 12 (23.5) | 7 (13.7) | 16 (31.4) |
| 30 – 39 | 125 | 3 (2.4) | 16 (12.8) | 22 (17.6) | 38 (30.4) |
| 40 – 49 | 59 | 3 (5.1) | 15 (25.4) | 9 (15.3) | 25 (42.4) |
| 50+ | 25 | 1 (4.0) | 2 (8.0) | 9 (36.0) | 11 (44.0) |
| 0.06 | 0.09 | 0.28 | |||
| Male | 78 | 1 (1.3) | 17 (21.8) | 10 (12.8) | 27 (34.6) |
| Female | 182 | 7 (3.8) | 28 (15.4) | 37 (20.3) | 63 (34.6) |
| P* value | 0.442 | 0.211 | 0.149 | 1 | |
| Primary & Below | 169 | 4 (2.4) | 29 (17.2) | 35 (20.7) | 62 (36.7) |
| Secondary & Above | 91 | 4 (4.4) | 16 (17.6) | 12 (13.2) | 28 (30.8) |
| P* value | 0.456 | 0.932 | 0.133 | 0.339 | |
| Never Married | 67 | 2 (3.0) | 14 (20.9) | 12 (17.9) | 24 (35.8) |
| Currently Married | 130 | 5 (3.8) | 23 (17.7) | 18 (13.8) | 41 (31.5) |
| Divorced/Widowed | 63 | 1 (1.6) | 8 (12.7) | 17 (27.0) | 25 (39.7) |
| P* value | 0.460 | 0.084 | 0.522 |
1. Key: * = fishers' exact test ** = no test done due to small numbers. "Any hepatitis" = positivity of any of the viral markers tested antibodies
2. P* value compares the proportion on each marker by various sociodemographic categories
Clinical characteristics of patients with viral hepatitis markers (n = 260)
| Fever | 3 (37.5) | 17 (37.8) | 2 (33.3) | 18 (38.3) |
| Nausea | 4 (50.0)* | 5 (11.1) | 1 (16.7) | 7 (14.9) |
| Vomiting | 3 (37.5)* | 6 (13.3) | 1 (16.7) | 4 (8.5) |
| Jaundice | 0 | 5 (11.1) | 4 (66.7)* | 4 (8.5) |
| Hepatomegaly | 0 | 5 (11.1) | 4 (66.7)* | 3 (6.4) |
| Elevated ALAT | 1 (12.5) | 4 (8.9) | 2 (33.3)* | 2 (4.3) |
| Elevated Total bilirubin | 0 | 5 (11.1) | 4 (66.7)* | 5 (10.6) |
| Mean CD4+ T-cells (cells/μl) | 113 | 198 | 134 | 222 |
* = P < 0.05, when compared with those having no corresponding marker
Likelihood of viral hepatitis co-infection using clinical features presented as odds ratios (OR) with 95% confidence intervals (CI) (n = 243)*
| HAV | Nausea | 4.18 (1.46 – 11.96) | |
| HBsAg | Blood transfusion | 2.59 (1.09 – 6.15) | |
| HBcAb | Jaundice | 41.07 (6.78 – 248.89) |
*CD 4+ T lymphocyte counts for 17 patients were lost and could not be traced.