| Literature DB >> 25924728 |
Jean Claude Dusingize1, Donald R Hoover2, Qiuhu Shi3, Eugene Mutimura1, Emmanuel Rudakemwa4, Victorien Ndacyayisenga5, Léonard Gakindi4, Michael Mulvihill6, Jean D'Amour Sinayobye1, Emmanuel Musabeyezu4, Kathryn Anastos6.
Abstract
We determined the associations of HIV infection/CD4 count with markers of hepatocellular damage [elevated aspartate aminotransferase (AST) and alanine aminotransferase (ALT)] and liver synthetic function (decreased albumin) in HIV-infected (HIV(+)) antiretroviral therapy (ART)-naive and uninfected (HIV(-)) Rwandan women. In 2005, 710 HIV(+) ART-naive and 226 HIV(-) women enrolled in the Rwanda Women's Interassociation Study and Assessment. Liver enzymes were measured with abnormality defined as either AST or ALT ≥1.25 times the upper limit of normal. Low serum albumin level was defined as <3.5 g/dl. Multivariable logistic regression analysis identified independent predictors of elevated AST/ALT and low serum albumin. HIV(-) women had the lowest prevalence (6.6%) of abnormal AST/ALT, with the highest prevalence (16.4%) in HIV(+) women with CD4 <200 cells/μl (p=0.01). The odds of having serum albumin <3.5 g/dl was 5.7-fold higher in HIV(+) than HIV(-) women (OR=5.68, 95% CI: 3.32-9.71). The risk of low albumin decreased from low to high CD4 count, with OR=2.62, 95% CI: 1.66, 4.14 and OR=1.57, 95% CI: 1.01, 2.43 in HIV(+) women with a CD4 count <200 and 200-350 cells/μl, respectively vs. HIV(+) with CD4 >350 (p<0.001 and p<0.05 for all comparisons). Our findings suggest that HIV-associated liver damage may occur in ART-naive patients. Although liver abnormality prevalences in this cohort of HIV-infected Rwandan women are less than reported in developed countries, caution is needed for risk assessment measures to monitor and screen HIV-infected patients pre- and post-ART initiation in African clinical settings to curtail potential risks associated with HIV infection.Entities:
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Year: 2015 PMID: 25924728 PMCID: PMC4505765 DOI: 10.1089/AID.2014.0170
Source DB: PubMed Journal: AIDS Res Hum Retroviruses ISSN: 0889-2229 Impact factor: 2.205
Baseline Characteristics of Study Population by HIV Status and CD4 Cell Count
| p | ||||||
|---|---|---|---|---|---|---|
| Age (years) | ||||||
| <30 | 33 (15.5) | 47 (26.6) | 48 (20.0) | 53 (23.6) | <0.001 | 148 (23.1) |
| 30–40 | 56 (26.3) | 97 (54.8) | 136 (56.7) | 125 (55.6) | 358 (55.8) | |
| 41+ | 124 (58.2) | 33 (18.6) | 56 (23.3) | 47 (20.9) | 136 (21.2) | |
| Income (Rwandan Francs) | ||||||
| <10,000 | 86 (44.5) | 57 (32.8) | 87 (36.8) | 82 (37.6) | 0.06 | 226 (35.9) |
| 10,000–35,000 | 74 (38.3) | 96 (55.2) | 119 (50.4) | 101 (46.3) | 316 (50.3) | |
| >35,000 | 33 (17.1) | 21 (12.1) | 30 (12.7) | 35 (16.1) | 86 (13.7) | |
| Alcohol use, | 52 (27.4) | 36 (21.2) | 51 (22.1) | 46 (21.5) | 0.43 | 133 (21.6) |
| Body mass index (kg/m2) Mean±SD | 21.32±3.8 | 21.87±3.9 | 21.84±3.8 | 21.07±3.4 | 0.15 | 21.58±3.7 |
| Albumin (mean±SD), mg/dl | 3.94±0.4 | 3.58±0.6 | 3.46±0.7 | 3.26±0.6 | <0.001 | 3.43±0.6 |
| Creatinine, mg/dl (mean±SD) | 0.85±0.19 | 0.91±0.2 | 0.93±0.2 | 0.94±0.2 | <0.001 | 0.93±0.2 |
| Bactrim and/or Dapsone use in prior year | 38 (18.6) | 127 (72.9) | 219 (91.2) | 202 (91.4) | <0.001 | 548 (86.3) |
| AST > or ALT >43 mg/dl | 14 (6.6) | 21 (11.8) | 23 (9.6) | 37 (16.4) | 0.01 | 81 (12.6) |
| Albumin <3.5 g/dl | 42 (20.1) | 72 (40.9) | 119 (50.0) | 138 (62.7) | <0.001 | 329 (51.9) |
p value is from chi-square test comparing all four HIV/CD4 groups (HIV negative, HIV+ CD4 >350, HIV+ CD4 200–350, HIV+ CD4 <200).
Analysis of variance tested for differences among continuous variables among groups defined by HIV/CD4 groups.
n (%) for categorical variables or mean±standard deviation for continuous variables.
ALT, alanine aminotransferase, AST, aspartate aminotransferase.
Factors Associated with Elevated Liver Enzymes (Aspartate Aminotransferase >43 or Alanine Aminotransferase >43 U/liter) in Unadjusted and Multivariate Analyses for All Subjects
| p | p | |||||
|---|---|---|---|---|---|---|
| HIV+ vs. HIV− | 2.05 (1.14, 3.70) | 0.02 | 4.36 (1.91, 9.97) | <0.001 | ||
| Age (years) | 0.27 | 0.39 | ||||
| <30 | 1 | — | 1 | — | ||
| 30–40 | 0.66 (0.39, 1.11) | 0.11 | 0.70 (0.40, 1.21) | 0.19 | ||
| >41 | 0.72 (0.41, 1.27) | 0.25 | 0.79 (0.41, 1.52) | 0.48 | ||
| Income (Rwf) | 0.08 | 0.04 | ||||
| <10,000 | 1 | — | 1 | — | ||
| 10,000–35,000 | 0.59 (0.37, 0.94) | 0.03 | 0.52 (0.31, 0.87) | 0.01 | ||
| >35,000 | 0.76 (0.40, 1.46) | 0.41 | 0.72 (0.36, 1.46) | 0.36 | ||
| Alcohol use (yes vs. no) | 1.41 (0.86, 2.31) | 0.17 | 1.47 (0.88, 2.46) | 0.14 | ||
| Body mass index (kg/m2) | 0.64 | 0.36 | ||||
| <18.5 | 1 | — | 1 | — | ||
| 18.5–25 | 1.32 (0.74, 2.34) | 0.34 | 1.44 (0.78, 2.67) | 0.25 | ||
| >25 | 1.15 (0.54, 2.46) | 0.71 | 1.40 (0.61, 3.19) | 0.43 | ||
| Bactrim and/or Dapsone use in prior year (yes vs. no) | 1.00 (0.63, 1.60) | 0.99 | 0.51 (0.28, 0.93) | 0.02 | ||
| Serum creatinine >1 mg/dl vs. <1 mg/dl | 1.07 (0.67, 1.73) | 0.76 | 1.15 (0.69, 1.91) | 0.58 |
All variables are included in the multivariate model.
Factors Associated with Elevated Liver Enzymes (Aspartate Aminotransferase >43 or Alanine Aminotransferase >43 U/liter in Unadjusted and Multivariate Analyses Restricted to HIV Positive Subjects
| p | p | |||||
|---|---|---|---|---|---|---|
| CD4 groups | 0.08 | 0.06 | ||||
| CD4 >350 | 1 | — | 1 | — | ||
| CD4 200–350 | 0.78 (0.42, 1.44) | 0.43 | 0.86 (0.44, 1.70) | 0.66 | ||
| CD4 <200 | 1.44 (0.81, 2.57) | 0.21 | 1.66 (0.88, 3.14) | 0.11 | ||
| Age (years) | 0.31 | 0.30 | ||||
| <30 | 1 | — | ||||
| 30–40 | 0.65 (0.38, 1.13) | 0.12 | 0.74 (0.42, 0.32) | — | ||
| >40 | 0.74 (0.38, 1.44) | 0.37 | 0.70 (0.34, 1.47) | 0.35 | ||
| Alcohol use (yes vs. no) | 1.65 (0.97, 2.81) | 0.06 | 1.65 (0.95, 2.86) | 0.07 | ||
| Income (Rwf) | 0.09 | 0.09 | ||||
| <10,000 | 1 | — | 1 | — | ||
| 10,000–35,000 | 0.58 (0.35, 0.96) | 0.03 | 0.55 (0.32, 95) | 0.03 | ||
| >35,000 | 0.67 (0.32, 1.42) | 0.29 | 0.56 (0.25, 1.25) | 0.15 | ||
| Body mass index (kg/m2) | 0.83 | 0.67 | ||||
| <18.5 | 1 | — | 1 | — | ||
| 18.5–25 | 1.06 (0.57, 1.95) | 0.85 | 1.22 (0.64, 2.31) | 0.55 | ||
| >25 | 0.86 (0.37, 1.96) | 0.71 | 1.17 (0.48, 2.82) | 0.73 | ||
| 1.22 (0.78, 1.90) | 0.30 | 1.10 (0.67, 1.80) | 0.71 | |||
| Bactrim and/or Dapsone use in prior year (yes vs. no) | 0.55 (0.30, 0.99) | 0.045 | 0.50 (0.26, 0.96) | 0.03 | ||
| Serum creatinine >1 mg/dl vs. <1 mg/dl | 0.99 (0.60, 1.64) | 0.96 | 1.20 (0.70, 2.06) | 0.50 |
All variables are included in the multivariate model.
Factors Associated with Albumin (<3.5 vs. ≥3.5 g/dl) in Unadjusted and Multivariate Analysis for All Subjects
| p | p | |||||
|---|---|---|---|---|---|---|
| HIV+ vs HIV− | 4.29 (2.96, 6.22) | <0.001 | 5.68 (3.32, 9.71) | <0.001 | ||
| Age (years) | 0.51 | 0.003 | ||||
| <30 | 1 | — | 1 | — | ||
| 30–40 | 1.22 (0.85, 1.74) | 0.27 | 1.20 (0.81, 1.77) | 0.36 | ||
| >40 | 1.21 (0.82, 1.79) | 0.33 | 2.08 (1.31, 3.30) | 0.002 | ||
| Income (Rwf) | 0.054 | 0.28 | ||||
| <10,000 | 1 | — | 1 | — | ||
| 10,000–35,000 | 0.94 (0.70, 1.26) | 0.68 | 0.88 (0.63, 1.24) | 0.46 | ||
| >35,000 | 0.61 (0.39, 0.94) | 0.02 | 0.68 (0.41, 1.11) | 0.12 | ||
| Body mass index (kg/m2) | <0.001 | <0.001 | ||||
| <18.5 | 1 | — | 1 | — | ||
| 18.5–25 | 0.56 (0.40, 0.80) | <0.001 | 0.53 (0.36, 0.78) | <0.001 | ||
| >25 | 0.39 (0.24, 0.62) | <0.001 | 0.39 (0.23, 0.66) | <0.001 | ||
| Alcohol use (yes vs. no) | 0.88 (0.63, 1.23) | 0.44 | 1.02 (0.71, 1.46) | 0.92 | ||
| Bactrim and/or Dapsone use (yes vs. no) | 2.25 (1.65, 3.09) | <0.001 | 0.97 (0.63, 1.51) | 0.89 | ||
| Serum creatinine ≤1 vs. >1 | 1.11 (0.82, 1.50) | 0.51 | 0.97 (0.69, 1.36) | 0.86 |
All variables are included in the multivariate model.
Factors Associated with Albumin (<3.5 vs. ≥3.5 g/dl) in Unadjusted and Multivariate Analysis Restricted to HIV-Positive Subjects
| p | p | |||||
|---|---|---|---|---|---|---|
| CD4 groups | <0.001 | <0.001 | ||||
| CD4 >350 | 1 | — | — | |||
| CD4 200–350 | 1.45 (0.98, 2.15) | <0.06 | 1.57 (1.01, 2.43) | <0.04 | ||
| CD4 <200 | 2.44 (1.62, 3.67) | <0.001 | 2.62 (1.66, 4.14) | <0.001 | ||
| Age (years) | 0.004 | |||||
| <30 | 1 | — | 0.005 | — | ||
| 30–40 | 1.11 (0.76, 1.64) | 0.58 | 1.12 (0.74, 1.72) | 0.58 | ||
| >40 | 2.08 (1.29, 3.36) | 0.003 | 2.18 (1.28, 3.71) | 0.004 | ||
| Income (Rwf) | 0.08 | 0.49 | ||||
| <10,000 | 1 | — | 1 | — | ||
| 10,000–35,000 | 0.70 (0.50, 0.99) | 0.04 | 0.84 (0.57, 1.23) | 0.36 | ||
| >35,000 | 0.62 (0.37, 1.02) | 0.05 | 0.61 (0.41, 0.99) | 0.04 | ||
| Body mass index (kg/m2) | <0.001 | <0.001 | ||||
| <18.5 | 1 | — | 1 | — | ||
| 18.5–25 | 0.37 (0.24, 0.57) | <0.001 | 0.38 (0.24, 0.61) | <0.001 | ||
| >25 | 0.26 (0.15, 0.45) | <0.001 | 0.30 (0.16, 0.55) | <0.001 | ||
| Alcohol use (yes vs. no) | 0.95 (0.65, 1.40) | 0.81 | 1.11 (0.73, 1.68) | 0.63 | ||
| Bactrim and/or Dapsone use (yes vs. no) | 0.85 (0.54, 1.35) | 0.49 | 0.67 (0.39, 1.15) | 0.14 | ||
| Serum creatinine ≤1 vs. >1 | 0.91 (0.65, 1.27) | 0.57 | 0.97 (0.66, 1.41) | 0.85 |
All variables are included in the multivariate model.