Skip to main content
Journal of the International Association of Providers of AIDS Care logoLink to Journal of the International Association of Providers of AIDS Care
. 2019 Oct 31;18:2325958219884939. doi: 10.1177/2325958219884939

Risk Factors for Alanine Aminotransferase Elevations in a Prospective Cohort of HIV-Infected Tanzanian Adults Initiating Antiretroviral Therapy

Sabina F Mugusi 1,2,, David Sando 2, Ferdinand M Mugusi 3, Claudia Hawkins 4, Said Aboud 5, Wafaie W Fawzi 2, Christopher R Sudfeld 2
PMCID: PMC6900607  PMID: 31665968

Abstract

Introduction:

Serum alanine aminotransferase (ALT) elevations are common among HIV-infected patients on combination antiretroviral therapy (cART).

Approach:

We conducted a prospective cohort study of 3023 HIV-infected Tanzanian adults initiating cART. We assessed risk factors for mild/moderate ALT elevations >40 IU/L and severe ALT elevations >200 IU/L.

Results:

We found that over a median follow-up of 32.5 months (interquartile range: 19.4-41.5), 44.8% of participants had at least 1 incident ALT elevation >40 IU/L of which 50.1% were persistent elevations. Risk factors for incident ALT elevation >40 IU/L included male sex, CD4 count <100 cells/μL, d4T+3TC+NVP cART, and triglycerides ≥150 mg/dL (P values <.05). Hepatitis B coinfection and alcohol consumption increased the risk of severe ALT elevations >200 IU/L (P values: <.05).

Conclusion:

Incident mild and moderate ALT elevations are common among Tanzanians initiating cART, and the clinical and demographic information can identify patients at increased risk.

Keywords: HIV, antiretroviral, hepatitis, ALT, liver, hepatotoxicity


What Do We Already Know about This Topic?

Liver enzyme elevations are common among HIV-infected patients initiating combination antiretroviral therapy due to multiple factors, such as direct hepatocyte inflammation, the antiretroviral used, comorbidities, and drug–drug interactions.

How Does Your Research Contribute to the Field?

Analysis from this large longitudinal cohort study provides information on incident and sustained alanine aminotransferase (ALT) elevations as well as the risk factors associated with these elevations among Tanzanian HIV-infected patients initiating antiretroviral therapy.

What Are Your Research’s Implications toward Theory, Practice, or Policy?

Patients who are identified to be at a higher risk of having ALT elevations based on clinical and demographic information should be closely monitored by clinicians.

Introduction

Serum alanine aminotransferase (ALT) is generally used for evaluating liver function and is a surrogate marker of liver injury.1,2 Studies among HIV-infected adults have found that men are more likely to have ALT elevations compared to women. Levels of ALT have been associated with high body mass index (BMI), dyslipidemia, and hypertension.3,4 Liver enzyme elevations are frequent among HIV-infected patients due to multiple factors, including direct inflammation in hepatocytes, use of antiretroviral drugs, coinfection with hepatitis, opportunistic infections, alcoholism, nonalcoholic steatohepatitis (NASH), and toxicities related to nonantiretroviral drugs (eg, antimicrobials, lipid medications).5-8 Liver disease is a leading cause of non–AIDS-related mortality in high-income settings, and the relative contribution may be growing in resource-limited settings due to expanding combination antiretroviral therapy (cART) coverage as programs transition to test and treat strategies.9

A number of risk factors for liver enzyme abnormalities among HIV-infected adults on cART have been identified, primarily from studies conducted in high-income settings. Most of the antiretroviral drug classes have been associated with liver enzyme abnormalities.10,11 Hepatotoxicity related to the use of nucleoside reverse transcriptase inhibitors (NRTIs) and non-NRTIs (NNRTIs), especially stavudine (d4T), zidovudine (AZT), didanosine, and nevirapine (NVP), has been widely reported.12,13 Hepatitis B and C coinfection is also well documented to increase the risk of hepatotoxicity.14 In addition, treatment of tuberculosis and other opportunistic infections can also increase the risk of liver abnormalities, since antimycobacterial and antimicrobial drugs can induce liver damage and potently interact with cytochrome P450 enzymes.15 Nevertheless, few longitudinal studies have examined the risk factors for incident ALT elevations in the context of sub-Saharan Africa.

In order to address this research gap, we present a prospective cohort study of Tanzanian adults initiating cART. We examine risk factors for incident ALT elevations of >40 IU/L and >200 IU/L as well as sustained liver enzyme abnormalities, since ALT elevations can be transient. This study intends to identify patient characteristics at cART initiation that are associated with high risk of ALT elevation to better guide clinical care.

Methods

This prospective cohort study included HIV-infected adults initiating cART who were enrolled in a randomized, double-blind trial that assessed the effect of daily oral supplements of vitamins B complex, C, and E in multiple versus single levels recommended dietary allowance (RDA) on HIV disease progression in Dar es Salaam, Tanzania, during 2006 to 2010.16 Briefly, individuals were eligible for the trial if they were aged ≥18 years, HIV infected, initiating ART at enrollment, and intended to stay in Dar es Salaam for at least 2 years. Women who were pregnant or lactating were excluded. Following the World Health Organization (WHO) and Tanzania HIV/AIDS treatment guidelines at the time, newly diagnosed HIV-infected patients and eligible to start cART included were those with WHO clinical stage IV disease or CD4 count of <200 cells/μL or with WHO clinical stage III disease and CD4 count of <350 cells/μL.17,18 During the period of study, the first-line drug combinations included d4T, lamivudine (3TC), NVP, AZT, and efavirenz (EFV). Stavudine was switched to AZT for individuals with peripheral neuropathy or for those who did not tolerate d4T. Nevirapine was switched to EFV in patients who could not tolerate NVP. As a result, 4 different ART regimens were used in trial: (1) d4T+3TC+NVP, (2) d4T+3TC+EFV, (3) AZT+3TC+NVP, and (4) AZT+3TC+EFV. Co-trimoxazole prophylaxis was provided for individuals whose CD4 counts were <200 cells/µL. Eligible patients were randomized to receive either the standard RDA or the multiple RDA (2-21 times the RDA for the vitamin B, 2 times the RDA for vitamin E, and 6 times the RDA for vitamin C).16

At enrollment, a standardized questionnaire was used to collect sociodemographic characteristics and past medical history, followed by a full clinical examination. Height and weight measurements were taken at baseline and all follow-up visits using standardized procedures and calibrated instruments. Data on alcohol use were collected at baseline using yes-and-no responses; however, the data on the frequency and amount consumed were not collected. The study participants were seen monthly per the standard of care using the program guidelines for clinical assessment and antiretroviral drug pick-up. Laboratory investigations were performed at baseline and every 4 months in accordance with the routine tests recommended for clinical care per the country/program guidelines. Absolute CD4 count (FACS Calibur flow cytometer, Becton Dickinson, San Jose, California), a complete blood count (AcT5 Diff AL analyzer, Beckman Coulter, Miami, Florida), and HIV viral load (Cobas Amplicor HIV-1 Monitor test version 1.5, Roche Diagnostics Systems) were assessed at and every 4 months thereafter for the study duration. Hepatitis B surface antigen and hepatitis C antibody tests were conducted at enrollment and as indicated thereafter using rapid tests (ACON Laboratories Inc Indianapolis, Indiana).

Serum samples for ALT assessment were collected at randomization and every 4 months thereafter. Blood for ALT analysis was collected in redtop vacutainer tubes and separated into serum on the collection by centrifugation at 1600 g for 10 minutes and stored up to 7 days at 2°C to 8°C. The concentrations of ALT were measured using Cobas Integra 400 plus analyzer by Roche Diagnostics System. The elevation in ALT was defined using the Division of AIDS criteria for Grading the Severity of Adult Adverse Events.19 Elevated ALT defined as >40 IU/L or >1× the upper limit of normal (ULN) was the primary outcome of this analysis. Sustained ALT elevation was defined as ALT >40 IU/L at 2 or more consecutive ALT assessments.16 In addition, we defined severe ALT elevations as patients having ALT levels >200 IU/L or >5× ULN.

Statistical Analysis

We examined cART initiation risk factors for incident ALT elevations using Cox proportional hazard models. We analyze time to first ALT elevation >40 IU/L, first elevation of sustained ALT >40 IU/L, and time to first ALT >200 IU/L. Individuals with the outcome of interest at the baseline cART initiation visit were excluded from each analysis. We examined the following predictors, assessed at cART initiation, for elevated ALT: sex (male, female), age (18-30, 30-45, >45 years), WHO clinical stage (I or II, III, and IV), CD4 count (<100, 100-199, ≥200 cells/μL), HIV viral load (<100 000, 100 000-1 000 000, >1 000 000 copies/mL), BMI (<18.5 kg/m2 versus ≥18.5 kg/m2), hemoglobin level (<8.5 g/dL versus ≥8.5 g/dL), cholesterol (<200 mg/dL versus ≥200 mg/dL), triglycerides (<150 mg/dL versus ≥150 mg/dL), and multivitamin (single RDA, multiple RDA). Multivariate models included all the variables used in the univariate analysis. Missing data for covariates were retained in the analysis, using the missing indicator method. All P values were 2 sided, with P values of <.05 considered statistically significant. Statistical analyses were performed using Stata version 15 (StataCorp, College Station, Texas).

Ethical Approval and Informed Consent

Written informed consent was obtained from all participants included in the study. The study protocol was approved by the institutional review boards of the Harvard School of Public Health (IRB12981), Muhimbili University of Health and Allied Sciences (MU/DRP/AEC/Vol.XVI/164), Tanzania Food and Drugs Authority (CD/TFDA.226/6), and the National Health Research Ethics Sub-Committee (NIMR/HQ/R.8a/Vol. IX/432).

Results

A total of 3418 patients were recruited into the trial, of which 3023 (88.4%) patients had ALT measured at baseline and at least once during the follow-up period and are included in this analysis. The median follow-up time for the cohort was 32.5 months (interquartile range [IQR]: 19.4-41.5). Table 1 summarizes the baseline sociodemographic and clinical characteristics of the study cohort. The majority of the cohort was female (68.3%) and between the ages of 31 and 45 years (65.0%). Forty-one percent of the patients were severely immunocompromised with CD4 counts below 100 cells/μL at cART initiation, with over two-thirds of the patients having viremia of >100 000 copies/mL. Comorbidity with tuberculosis was reported in 1.1% of the study population. Additionally, 6% of patients were hepatitis B coinfected while 2% were anti-hepatitis C positive. In addition, 11.8% of patients had high cholesterol (≥200 mg/dL) and 21% with high triglycerides (≥150 mg/dL). Two-thirds of the patients were placed on the first-line d4T+3TC+NVP cART regimen.

Table 1.

Baseline Sociodemographic and Clinical Characteristics of ALT Study Cohort (n = 3023).

Characteristic n (%)
Sex
 Females 2066 (68.3)
 Males 957 (31.7)
Age, years
 ≤30 463 (15.3)
 31-45 1962 (65.0)
 >45 592 (19.7)
WHO HIV disease stage
 I or II 651 (21.9)
 III 1802 (60.6)
 IV 340 (11.5)
CD4 count, cells/μL
 <100 1213 (41.3)
 100-200 1113 (37.9)
 >200 608 (20.8)
HIV viral load, copies/mL
 <100 000 386 (29.8)
 100 000-1 000 000 829 (64.0)
 >1 000 000 80 (6.2)
Body mass index, kg/m2
 <18.5 706 (25.1)
 18.5-25 1660 (58.9)
 >25 449 (16.0)
Hemoglobin, g/dL
 ≥8.5 2279 (78.1)
 <8.5-severe anemia 638 (21.9)
cART regimen
 d4T+3TC+NVP 1785 (66.6)
 d4T+3TC+EFV 302 (12.3)
 AZT+3TC+NVP 249 (9.3)
 AZT+3TC+EFV 344 (12.8)
Self-reported alcohol use
 No 2744 (98.1)
 Yes 52 (1.9)
Tuberculosis coinfection
 No 2991 (98.9)
 Yes 32 (1.1)
Hepatitis B
 Negative 1927 (93.8)
 Positive 127 (6.2)
Hepatitis C
 Negative 1593 (98.3)
 Positive 27 (1.7)
Total cholesterol, mg/dL
 <200 2050 (88.2)
 ≥200 273 (11.8)
Triglycerides, mg/dL
 <150 1795 (79.1)
 ≥150 473 (20.9)
Randomized multivitamin regimen
 Single RDA 1522 (50.4)
 Multiple RDA 1501 (49.6)
ALT concentration, IU/L
 ≤40 2667 (88.2)
 41-200 353 (11.7)
 >200 3 (0.1)

Abbreviations: ALT, alanine aminotransferase; AZT, zidovudine; cART, combination antiretroviral therapy; d4T, stavudine; EFV, efavirenz; NVP, nevirapine; RDA, recommended dietary allowances; WHO, World Health Organization; 3TC, lamivudine.

At baseline, 2667 (88.2%) patients had normal ALT concentration ≤40 IU/L, 353 (11.7%) had mild or moderate ALT elevations of 41 to 200 IU/L, and 3 (0.1%) patients had a severe ALT elevation >200 IU/L at randomization. A total of 21 148 follow-up ALT measurements were done with a median of 8 (IQR: 6-11) ALT tests per patient during the follow-up period. During follow-up, 23.2% of patient had an incident ALT elevation >40 IU/L and 23.3% had an incident sustained ALT elevation >40 IU/L. The median time to first ALT elevation >40 IU/L was 140 days (IQR: 58-338). A total of 75 (2.5%) patients had an incident severe ALT elevation >200 IU/L assessed at a median time of 123 days postrandomization (IQR: 30-428), where 22 (29%) of these patients had these elevations within the first month of initiating cART.

Table 2 presents univariate and multivariate cART initiation risk factor analyses for incident mild and moderate ALT elevations >40 IU/L. In univariate models, male sex, CD4 count <100 cells/μL, d4T+3TC+NVP regimen, hepatitis C coinfection, and high triglyceride levels (≥150 mg/dL) were associated with incident ALT elevations >40 IU (P values <.05). In multivariate analysis, males remained at increased risk of incident ALT >40 IU/L when compared to females (hazard ratio [HR]: 1.44; 95% confidence interval [CI], 1.27-1.64; P value: <.001). Patients initiated on d4T+3TC+NVP had 1.44 (95% CI, 1.17-1.76; P < .001) times the risk of incident ALT >40 when compared to those receiving AZT+3TC+EFV. Patients with CD4 counts of 100 to 200 cells/μL and >200 cells/μL at cART initiation had 19% (95% CI, 8%-29%) and 26% (95% CI, 13%-37%) lower risk of developing ALT >40 IU/L when compared to those who had CD4count <100 cells/μL, respectively. Individuals with serum triglyceride concentration >150 mg/dL (HR: 1.31; 95% CI, 1.12-1.54; P value: .01) and those randomized to multiple RDA multivitamins (HR: 1.41; 95% CI, 1.26-1.58; P value: <.001) were also at increased risk. Patients who were hepatitis C positive appeared to be at higher risk of incident ALT >40; however, the results did not reach statistical significance (HR: 1.64; 95% CI, 0.99-2.71).

In terms of cART initiation predictors for sustained ALT elevations >40 IU/L, we found WHO HIV stage III disease (HR as compared to stage I or II: 0.76; 95% CI, 0.63-0.93; P value: .006) to have an increased risk in multivariate models. Patients with CD4 counts >100 cells/μL at baseline had reduced risks of developing sustained ALT elevations >40 IU/L (CD4 count 100-200 cells/μL: HR: 0.79; 95% CI, 0.67-0.95; P value = .01, and CD4 count >200 cells/μL: HR: 0.70; 95% CI, 0.55-0.89; P value = .004). There also appeared to be an increased risk of sustained ALT elevations >40 IU/L among male patients, those initiated on d4T+3TC+NVP, and those receiving multiple RDA, though these were not statistically significant (Table 2).

Table 2.

Risk Factors for Incident Mild or Moderate ALT Elevation (>40 IU/L) and Sustained Mild or Moderate ALT Elevation (>40 IU/L at 2 or More Consecutive Visits).

Variable Mild or Moderate ALT Elevation (ALT >40 IU/L) Sustained Mild or Moderate ALT Elevation (ALT >40 IU/L at 2+ Consecutive Visits)
n/N (%) Univariate Multivariate n/N (%) Univariate Multivariate
Hazard Ratio (95% CI) P Value Hazard Ratio (95% CI) P Value Hazard Ratio (95% CI) P Value Hazard Ratio (95% CI) P Value
Sex
 Female 785/1873 (41.9) Ref Ref 388/817 (47.5) Ref Ref
 Male 410/794 (51.6) 1.40 (1.24-1.58) <.001 1.44 (1.27-1.64) <.001 233/422 (55.2) 1.15 (0.98-1.35) .09 1.18 (0.99-1.40) .07
Age, years
 ≤30 165/414 (39.8) Ref Ref 73/171 (42.7) Ref Ref
 31-45 796/1719 (46.3) 1.18 (0.99-1.39) .05 1.15 (0.97-1.37) .09 431/828 (52.1) 1.22 (0.95-1.56) .12 1.21 (0.94-1.55) .15
 >45 232/528 (43.9) 1.10 (0.90-1.35) .33 1.03 (0.84-1.27) .74 117/238 (49.2) 1.07 (0.80-1.44) .62 1.03 (0.76-1.39) .85
WHO HIV disease stage
 I or II 282/585 (48.2) Ref Ref 175/291 (60.1) Ref Ref
 III 717/1615 (44.4) 0.91 (0.79-1.05) .19 0.94 (0.82-1.09) .44 347/741 (46.8) 0.75 (0.63-0.90) .002 0.76 (0.63-0.93) .006
 IV 116/274 (42.3) 0.89 (0.79-1.22) .89 0.92 (0.73-1.15) .45 60/125 (48.0) 0.89 (0.67-1.20) .47 0.89 (0.65-1.23) .49
CD4 count, cells/μL
 <100 503/1032 (48.7) Ref Ref 274/515 (53.2) Ref Ref
 100-200 438/994 (44.1) 0.79 (0.70-0.91) .001 0.81 (0.71-0.92) .002 234/459 (50.9) 0.79 (0.67-0.95) .01 0.79 (0.66-0.94) .01
 >200 222/566 (39.2) 0.70 (0.59-0.82) <.001 0.74 (0.63-0.87) <.001 101/229 (44.1) 0.67 (0.52-0.83) <.001 0.70 (0.55-0.89) .004
HIV viral load, copies/mL
 <100 000 157/357 (43.9) Ref Ref 90/162 (55.6) Ref Ref
 100 000-1 000 000 337/730 (46.2) 1.07 (0.88-1.29) .49 1.01 (0.83-1.22) .91 181/350 (51.7) 0.88 (0.68-1.14) .34 0.83 (0.64-1.08) .16
 >1 000 000 24/60 (40.0) 0.95 (0.62-1.46) .82 0.82 (0.53-1.27) .37 10/24 (41.7) 0.79 (0.41-1.52) .48 0.71 (0.36-1.41) .33
cART regimen
 AZT+3TC+EFV 114/271 (42.1) Ref Ref 60/122 (49.2) Ref Ref
 d4T+3TC+NVP 768/1629 (47.2) 1.29 (1.05-1.57) .01 1.44 (1.17-1.76) <.001 398/794 (50.1) 1.34 (1.01-1.75) .04 1.32 (0.99-1.75) .056
 d4T+3TC+EFV 99/248 (39.9) 1.03 (0.79-1.35) .82 1.09 (0.83-1.44) .51 53/104 (50.9) 1.21 (0.83-1.74) .32 1.17 (0.81-1.71) .36
 AZT+3TC+NVP 89/223 (39.9) 0.99 (0.75-1.30) 0.93 1.06 (0.80-1.41) 0.67 44/89 (49.4) 1.16 (0.79-1.72) 0.44 1.16 (0.77-1.74) 0.46
BMI groups, kg/m2
 <18.5 269/601 (44.8) Ref Ref 137/275 (49.8) Ref Ref
 18.5-25 640/1476 (43.4) 0.89 (0.75-0.99) .05 0.89 (0.77-1.03) .12 319/663 (48.1) 0.86 (0.70-1.05) .14 0.86 (0.69-1.07) .17
 >25 212/414 (51.2) 1.02 (0.86-1.23) .77 1.05 (0.87-1.27) .60 128/225 (56.9) 0.94 (0.74-1.20) .65 0.93 (0.71-1.21) .59
Hemoglobin, g/dL
 ≥8.5 915/1999 (45.8) Ref Ref 491/948 (51.8) Ref Ref
 <8.5-severe anemia 236/576 (40.9) 0.94 (0.81-1.08) .38 0.97 (0.83-1.12) .66 115/247 (46.6) 1.09 (0.89-1.34) .39 1.09 (0.88-1.35) .42
Self-reported alcohol intake
 No 1110/2434 (45.6) Ref Ref 588/1154 (50.9) Ref Ref
 Yes 25/45 (55.6) 1.26 (0.85-1.87) .25 1.17 (0.78-1.74) .45 13/25 (52.0) 0.86 (0.49-1.49) .60 0.84 (0.48-1.47) .54
TB coinfection
 No 1183/2640 (44.8) Ref Ref 616/1227 (50.2) Ref Ref
 Yes 12/27 (44.4) 1.03 (0.58-1.82) .92 1.19 (0.66-2.13) .56 5/12 (41.7) 0.72 (0.29-1.73) .46 0.86 (0.35-2.13) .74
Hepatitis B
 Negative 761/1726 (44.1) Ref Ref 392/787 (49.8) Ref Ref
 Positive 48/99 (48.5) 1.17 (0.87-1.56) .29 1.04 (0.78-1.41) .76 28/53 (52.8) 1.06 (0.72-1.55) .77 0.96 (0.65-1.42) .83
Hepatitis C
 Negative 610/1433 (42.6) Ref Ref 298/636 (46.9) Ref Ref
 Positive 16/25 (64.0) 1.71 (1.04-2.81) .04 1.64 (0.99-2.71) .05 7/16 (43.7) 0.88 (0.42-1.86) .74 0.79 (0.37-1.71) .56
Total cholesterol, mg/dL
 <200 814/1828 (44.5) Ref Ref 423/837 (50.5) Ref Ref
 ≥200 116/235 (49.4) 1.09 (0.90-1.33) .36 1.09 (0.89-1.33) .40 69/120 (57.5) 1.07 (0.83-1.38) .58 1.09 (0.84-1.41) .53
Triglycerides, mg/dL
 <150 715/1628 (43.9) Ref Ref 373/737 (50.6) Ref Ref
 ≥150 195/386 (50.5) 1.31 (1.12-1.54) .001 1.26 (1.07-1.48) .01 103/200 (51.5) 1.08 (0.87-1.34) .49 1.07 (0.85-1.34) .55
Randomized multivitamin regimen
 Single RDA 524/1337 (39.2) Ref Ref 258/543 (47.5) Ref Ref
 Multiple RDA 671/1330 (50.1) 1.41 (1.26-1.58) <.001 1.40 (1.25-1.57) <.001 363/696 (52.2) 1.19 (1.04-1.36) .01 1.15 (0.98-1.36) .08

Abbreviations: ALT, alanine aminotransferase; AZT, zidovudine; BMI, body mass index; cART, combination antiretroviral therapy; CI, confidence interval; d4T, stavudine; EFV, efavirenz; NVP, nevirapine; RDA, recommended dietary allowances; TB, tuberculosis; WHO, World Health Organization; 3TC, lamivudine.

Predictors of severe ALT elevations >200 IU/L are also presented in Table 3. In univariate models, male sex, self-reported alcohol consumption, and hepatitis B coinfection were significant predictors of severe ALT elevations (P values <.05). In multivariate models, individuals with hepatitis coinfection remained at significantly increased risk of incident ALT >200 IU/L (HR: 2.50; 95% CI, 1.16-5.40; P value: 0.02). In addition, patients who reported alcohol consumption were at 3.08 (95% CI, 1.20-7.92; P value: .02) times the risk of incident ALT >200 IU/L when compared to those who did not. In addition, patients with hepatitis C coinfection also appeared to be at high risk of severe ALT elevations >200 IU/L, but results did not reach statistical significance (HR: 3.75; 95% CI, 0.83-16.96; P value: .08).

Table 3.

Risk Factors for Incident Severe ALT Elevation (>200 IU/mL).

Variable Severe ALT Elevation (ALT >200 IU/L)
n/N (%) Univariate Multivariate
Hazard Ratio (95% CI) P Value Hazard Ratio (95% CI) P Value
Sex
 Female 43/2063 (2.1) Ref Ref
 Male 32/957 (3.3) 1.68 (1.06-2.65) .03 1.47 (0.90-2.41) .12
Age, years
 ≤30 7/463 (1.5) Ref
 31-45 56/1959 (2.9) 1.87 (0.85-4.10) .12 1.62 (0.73-3.59) .24
 >45 12/592 (2.0) 1.33 (0.52-3.39) .54 1.29 (0.49-3.36) .59
WHO HIV disease stage
 I or II 18/650 (2.8) Ref Ref
 III 44/1802 (2.4) 0.91 (0.52-1.57) .73 0.89 (0.49-1.61) .71
 IV 8/338 (2.4) 0.95 (0.41-2.19) .91 0.79 (0.32-1.96) .62
CD4 count, cells/μL
 <100 29/1212 (2.4) Ref Ref
 100-200 27/1111 (2.4) 0.95 (0.56-1.59) .84 0.98 (0.57-1.69) .96
 >200 16/608 (2.6) 1.05 (0.57-1.93) .88 1.14 (0.60-2.15) .69
HIV viral load, copies/mL
 <100 000 14/386 (3.6) Ref Ref
 100 000-1 000 000 22/829 (2.6) 0.73 (0.37-1.42) .35 0.65 (0.33-1.31) .23
 >1 000 000
cART regimen
 AZT+3TC+EFV 13/344 (3.8) Ref Ref
 d4T+3TC+NVP 46/1785 (2.6) 0.69 (0.38-1.29) .25 0.79 (0.42-1.51) .49
 d4T+3TC+EFV 4/299 (1.3) 0.37 (0.12-1.13) .08 0.36 (0.11-1.12) .08
 AZT+3TC+NVP 4/249 (1.6) 0.42 (0.14-1.31) .14 0.45 (0.14-1.39) .17
BMI groups, kg/m2
 <18.5 21/704 (2.9) Ref Ref
 18.5-25 37/1659 (2.2) 0.68 (0.40-1.17) .17 0.63 (0.36-1.09) .10
 >25 13/449 (2.9) 0.87 (0.43-1.73) .69 0.76 (0.36-1.61) .47
Hemoglobin, g/dL
 ≥8.5 59/2277 (2.6) Ref Ref
 <8.5-severe anemia 14/638 (2.2) 0.91 (0.51-1.63) .74 1.02 (0.55-1.91) .94
Self-reported alcohol intake
 No 69/2743 (2.5) Ref Ref
 Yes 5/52 (9.6) 4.0 (1.61-9.92) .003 3.08 (1.20-7.92) .02
TB coinfection
 No 75/2998 (2.5) Ref Ref
 Yes
Hepatitis B
 Negative 47/1925 (2.4) Ref Ref
 Positive 8/127 (6.3) 2.67 (1.26-5.65) .01 2.50 (1.16-5.40) .02
Hepatitis C
 Negative 33/1591 (2.1) Ref Ref
 Positive 2/27 (7.4) 3.46 (0.83-14.4) .09 3.75 (0.83-16.96) .08
Total cholesterol, mg/dL
 <200 47/2049 (2.3) Ref Ref
 ≥200 5/272 (1.8) 0.77 (0.31-1.95) .59 0.67 (0.26-1.73) .41
Triglycerides, mg/dL
 <150 37/1794 (2.1) Ref Ref
 ≥150 14/472 (2.9) 1.57 (0.85-2.91) .15 1.74 (0.93-3.28) .08
Randomized multivitamin regimen
 Single RDA 31/1521 (2.0) Ref Ref
 Multiple RDA 44/1499 (2.9) 1.44 (0.91-2.28) .12 1.38 (0.87-2.21) .17

Abbreviations: ALT, alanine aminotransferase; AZT, zidovudine; BMI, body mass index; cART, combination antiretroviral therapy; CI, confidence interval; d4T, stavudine; EFV, efavirenz; NVP, nevirapine; RDA, recommended dietary allowances; TB, tuberculosis; WHO, World Health Organization; 3TC, lamivudine.

Discussion

In this prospective cohort study of HIV-infected Tanzanian adults initiating cART, we found that approximately half of patients had at least 1 incident ALT elevation of >40 IU/L with about one-quarter experiencing a sustained ALT elevation. Male sex, CD4 count <100 cells/μL, triglyceride concentrations ≥150 mg/dL, and d4T+3TC+NVP cART were found to be associated with increased risk of ALT elevations >40 IU/L. Incident severe ALT elevations >200 IU/L occurred in 2.5% of patients and risk factors included hepatitis B coinfection and alcohol consumption.

The interpretation and clinical significance of ALT elevations is complex, since liver enzyme abnormalities can be the result of multiple factors including the antiretroviral drugs, hepatitis and other viral coinfections, and other causes of liver disease such as steatosis and hepatotoxicity related to alcohol and use of illicit drugs. Some of these factors also commonly co-occur in HIV-infected populations, which can further complicate clinical management.7 Thus, clinicians should be aware of the frequency and severity of elevated liver enzymes and need to thoroughly investigate the patient history, drug levels as well as monitor immunological and virological biomarkers to elucidate potential causes and the need for intervention. Severe liver enzyme elevations (ALT >200) warrants clinical intervention due to the risk of pathological liver disease and liver fibrosis.20

We found that 48% of individuals had mild-to-moderate ALT elevations (>40 IU/L), with a little over half of them having persistently elevated ALT levels; the risk of incident severe ALT elevation >200 was low (2.5%). Although 2.5% of the patients presented with ALT >200 IU/L, none presented with any clinically relevant features suggestive of hepatotoxicity that warranted any intervention. The incidence of elevated ALT was greater in our study when compared to studies in developed countries (<30%),21,22 but similar with studies conducted from Sub-Saharan Africa.23,24 A previous cross-sectional study of ART-naive Tanzanian adults a found 13% prevalence of ALT >40 IU/L and 0.3% for ALT >200 IU/L.25 As a result, antiretroviral use appears to be a key contributor to high rates of liver enzyme elevations.

Most classes of antiretroviral drugs have been shown to increase the risk of liver enzyme abnormalities.7,11,26 The most frequently implicated antiretroviral groups are the NNRTIs followed by protease inhibitors and the NRTIs).13 Common culprits are NVP (an NNRTI) and d4T (NRTI), which were the first-line antiretrovirals used by two-thirds of our study population.10,27 We also determined that the risk of ALT elevation >40 IU/L was 60% higher for individuals who received both d4T and NVP. Nevertheless, both d4T and NVP are no longer used as first-line cART drugs in Tanzania and most HIV treatment programs in Sub-Saharan Africa.

In addition, we found that lower CD4 counts at cART initiation was associated with increased risk of ALT >40 IU/L. The direction of the relationship between CD4 count and ALT elevations has not been consistently reported. Sulkowski et al reported that a greater increase in CD4 count was associated with increased risk of severe hepatotoxicity (ALT >200 IU/L) in HIV–hepatitis coinfection.28,29 In studies of HIV mono-infected patients that excluded viral hepatitis, one reported an increased risk of ALT with lower CD4, while another study reported the opposite findings.20,22

We also found that hepatitis B was an independent predictor of developing ALT elevations >200 IU. Chronic hepatitis increases the risk of developing hepatotoxicity, particularly in patients receiving NVP.13,30,31 Studies have documented a flare in hepatotoxicity at 4 to 6 months after ART initiation, which is consistent with our findings, as the majority of incident ALT elevations were detected at the first 4-month assessment. Alcohol abuse is also a well-established risk factor for ALT elevations.20 In a study by Pol et al, HIV-infected patients who consumed <40 g/d of alcohol were at risk of alcohol-associated hepatitis, suggesting that HIV-infected patients may be more sensitive to alcohol toxicity.7 This is consistent with our finding that individuals who consumed alcohol had 3 times the risk of severe ALT elevations.

Results from our study have shown that elevated serum triglyceride level to be a predictor for ALT elevations. We found that triglyceride levels >150 mg/dL at cART initiation increased the risk of ALT incident ALT >40 and >200 IU/L. Accumulation of triglycerides in the liver can result in non-alcoholic fatty liver disease (NAFLD) and may present with varying degrees of liver enzyme abnormalities.32 Evidence suggests that in untreated HIV infection, the absence of cART-related toxicity may have direct impact on liver dysfunction, including NAFLD and NASH.6,33 Nonalcoholic steatohepatitis has been reported to increase the risk of liver enzyme abnormalities among HIV-infected patients.6 As a result, assessment of triglycerides at ART initiation can identify patients at increased risk of ALT elevations.

As reported in the parent trial, patients randomized to multiple RDA multivitamins had increased risk of incident ALT >40 IU/L. We further examined this question and noted that multiple RDA multivitamins were not associated with a statistically significant persistent increase in the risk of sustained ALT >40 IUL elevation or an increase the risk of ALT >200 IU/L. The mechanism by which multiple RDA multivitamins may increase the risk of ALT elevations remains unclear. A recent implementation evaluation of a routine multivitamin supplementation program for adults enrolled in Dar es Salaam HIV care and treatment program determined that single-dose RDA multivitamins for adults on ART and multiple RDA multivitamins for ART-naïve patients were both associated with decreased risk of ALT elevations >40 IU/L.34 Patients with varying degrees of liver dysfunction have increased oxidative stress, and it has been postulated that supplementation with vitamins E and C may counteract oxidative stress.35,36 Nevertheless, there have been some reports that suggested higher rates of liver toxicity with higher doses of vitamin B, particularly niacin (vitamin B3) that was used for treatment of various conditions such as hypercholesterolemia and skin diseases.37,38

Our study had several limitations. First, due to the observational design of the study, we cannot rule out residual or unmeasured confounding. We did not collect data on drug use, cholesterol levels, diabetes, and other factors, which may be associated with ALT elevations. In addition, alcohol and cigarette use were self-reported, which likely lead to misclassification that likely attenuated any association. This study did not use other laboratory markers of liver damage such as aspartate aminotransferase, serum glutamic-oxaloacetic transaminase, albumin, or bilirubin. In addition, ALT is an insensitive marker for long-term liver damage, and therefore future research should also use more specific test for liver disease (ie, Fibroscan). At the time the study was conducted, NVP was the default NNRTI backbone in ART. At present, d4T and NVP are no longer part of the treatment regimens recommended by WHO and Tanzania. Implications from this study show that NNRTIs and, more so, NVP may be associated with liver toxicity. Currently, the most recent regimens exclude the use of NNRTIs and instead use a combination of 2NRTI plus 1 integrase inhibitor, thus reducing the risk of hepatotoxicity.

Overall, we determined that incident mild-to-moderate ALT elevations (>40 IU/L) occurred in nearly half of the study and 2.5% of patients had severe ALT elevations (>200 IU/L). Predictors of ALT elevations >40 IU/L included male sex, d4T+3TC+NVP cART regimen, low CD4 counts, and high serum triglyceride levels. Hepatitis B coinfection and alcohol consumption increased the risk of incident severe ALT elevations >200 IU/L. Future research should focus on strategies to mitigate the risk of liver enzyme abnormalities and liver disease among HIV-infected adults initiating ART in Tanzania and other resource-limited settings.

Acknowledgments

The authors are grateful to all the study participants. The authors also thank all the clinicians and nurses from the 7 different clinical sites in Dar es Salaam. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Footnotes

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This clinical trial was supported by grant R01 HD32257 from the National Institute of Child Health and Development. Research reported in this publication was supported by the Fogarty International Center of the National Institutes of Health under award number D43 TW009775.

ORCID iD: Sabina F. Mugusi Inline graphic https://orcid.org/0000-0003-3367-0564

References

  • 1. Dufour DR, Lott JA, Nolte FS, Gretch DR, Koff RS, Seeff LB. Diagnosis and monitoring of hepatic injury. II. Recommendations for use of laboratory tests in screening, diagnosis, and monitoring. Clin Chem. 2000;46(12):2050–2068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Sherman KE. Alanine aminotransferase in clinical practice. A review. Arch Intern Med. 1991;151(2):260–265. [PubMed] [Google Scholar]
  • 3. Clark JM, Brancati FL, Diehl AM. The prevalence and etiology of elevated aminotransferase levels in the United States. Am J Gastroenterol. 2003;98(5):960–967. [DOI] [PubMed] [Google Scholar]
  • 4. Kariv R, Leshno M, Beth-Or A, et al. Re-evaluation of serum alanine aminotransferase upper normal limit and its modulating factors in a large-scale population study. Liver Int. 2006;26(4):445–450. [DOI] [PubMed] [Google Scholar]
  • 5. Côté HC, Brumme ZL, Craib KJ, et al. Changes in mitochondrial DNA as a marker of nucleoside toxicity in HIV-infected patients. N Engl J Med. 2002;346(11):811–820. [DOI] [PubMed] [Google Scholar]
  • 6. Crum-Cianflone N, Dilay A, Collins G, et al. Nonalcoholic fatty liver disease among HIV-infected persons. J Acquir Immune Defic Syndr. 2009;50(5):464–473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Pol S, Lebray P, Vallet-Pichard A. HIV infection and hepatic enzyme abnormalities: intricacies of the pathogenic mechanisms. Clin Infect Dis. 2004;38(suppl 2):S65–S72. [DOI] [PubMed] [Google Scholar]
  • 8. Walker UA. Antiretroviral therapy-induced liver alterations. Curr Opin HIV AIDS. 2007;2(4):293–298. [DOI] [PubMed] [Google Scholar]
  • 9. Kaspar MB, Sterling RK. Mechanisms of liver disease in patients infected with HIV. BMJ Open Gastroenterol. 2017;4(1):e000166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Neff GW, Jayaweera D, Sherman KE. Drug-induced liver injury in HIV patients. Gastroenterol Hepatol (NY). 2006;2(6):430–437. [PMC free article] [PubMed] [Google Scholar]
  • 11. Nunez M. Hepatotoxicity of antiretrovirals: incidence, mechanisms and management. J Hepatol. 2006;44(1 suppl):S132–S139. [DOI] [PubMed] [Google Scholar]
  • 12. Chariot P, Drogou I, De Lacroix-Szmania I, et al. Zidovudine-induced mitochondrial disorder with massive liver steatosis, myopathy, lactic acidosis, and mitochondrial DNA depletion. J Hepatol. 1999;30(1):156–160. [DOI] [PubMed] [Google Scholar]
  • 13. Martinez E, Blanco JL, Arnaiz JA, et al. Hepatotoxicity in HIV-1-infected patients receiving nevirapine-containing antiretroviral therapy. AIDS. 2001;15(10):1261–1268. [DOI] [PubMed] [Google Scholar]
  • 14. Pol S, Lamorthe B, Thi NT, et al. Retrospective analysis of the impact of HIV infection and alcohol use on chronic hepatitis C in a large cohort of drug users. J Hepatol. 1998;28(6):945–950. [DOI] [PubMed] [Google Scholar]
  • 15. McIlleron H, Meintjes G, Burman WJ, Maartens G. Complications of antiretroviral therapy in patients with tuberculosis: drug interactions, toxicity, and immune reconstitution inflammatory syndrome. J Infect Dis. 2007;196(suppl 1):S63–S75. [DOI] [PubMed] [Google Scholar]
  • 16. Isanaka S, Mugusi F, Hawkins C, et al. Effect of high-dose vs standard-dose multivitamin supplementation at the initiation of HAART on HIV disease progression and mortality in tanzania: a randomized controlled trial. JAMA. 2012;308(15):1535–1544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Faucette SR, Zhang TC, Moore R, et al. Relative activation of human pregnane X receptor versus constitutive androstane receptor defines distinct classes of CYP2B6 and CYP3A4 inducers. J Pharmacol Exp Ther. 2007;320(1):72–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. World Health Organization. Antiretroviral Therapy for HIV infection in Adults and Adolescents: Recommendation for a Public Health Approach, 2006 Revision. Geneva: http://www.who.int/hiv/pub/guidelines/artadultguidelines.pdf. [PubMed] [Google Scholar]
  • 19. Getahun H, Gunneberg C, Sculier D, Verster A, Raviglione M. Tuberculosis and HIV in people who inject drugs: evidence for action for tuberculosis, HIV, prison and harm reduction services. Curr Opin HIV AIDS. 2012;7(4):345–353. [DOI] [PubMed] [Google Scholar]
  • 20. Kovari H, Ledergerber B, Battegay M, et al. Incidence and risk factors for chronic elevation of alanine aminotransferase levels in HIV-infected persons without hepatitis B or C virus co-infection. Clin Infect Dis. 2010;50(4):502–511. [DOI] [PubMed] [Google Scholar]
  • 21. Palmon R, Koo BC, Shoultz DA, Dieterich DT. Lack of hepatotoxicity associated with nonnucleoside reverse transcriptase inhibitors. J Acquir Immune Defic Syndr. 2002;29(4):340–345. [DOI] [PubMed] [Google Scholar]
  • 22. Sterling RK, Chiu S, Snider K, Nixon D. The prevalence and risk factors for abnormal liver enzymes in HIV-positive patients without hepatitis B or C coinfections. Dig Dis Sci. 2008;53(5):1375–1382. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Lucien K CA, Fon N, Weledji P, Ndikvu C. The effect of anti-retroviral treatment on liver function enzymes among HIV infected out patients. Afr J Clin Exp Microbiol. 2010;11(3):174–178. [Google Scholar]
  • 24. Mataranyika PAKD, Kalemeera F, Kaura H, Godman B, Renniea TW. Liver enzyme elevations in a cohort of HIV/AIDS patients on first-line antiretroviral therapy in namibia: findings and implications. Alex J Med. 2018;54(1):49–56. [Google Scholar]
  • 25. Nagu TJ, Kanyangarara M, Hawkins C, et al. Elevated alanine aminotransferase in antiretroviral-naive HIV-infected African patients: magnitude and risk factors. HIV Med. 2012;13(9):541–548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Nunez M, Lana R, Mendoza JL, Martín-Carbonero L, Soriano V. Risk factors for severe hepatic injury after introduction of highly active antiretroviral therapy. J Acquir Immune Defic Syndr. 2001;27(5):426–431. [DOI] [PubMed] [Google Scholar]
  • 27. Rivero A, Mira JA, Pineda JA. Liver toxicity induced by non-nucleoside reverse transcriptase inhibitors. J Antimicrob Chemother. 2007;59(3):342–346. [DOI] [PubMed] [Google Scholar]
  • 28. Sulkowski MS, Moore RD, Mehta SH, Chaisson RE, Thomas DL. Hepatitis C and progression of HIV disease. JAMA. 2002;288(2):199–206. [DOI] [PubMed] [Google Scholar]
  • 29. Sulkowski MS, Thomas DL, Chaisson RE, Moore RD. Hepatotoxicity associated with antiretroviral therapy in adults infected with human immunodeficiency virus and the role of hepatitis C or B virus infection. JAMA. 2000;283(1):74–80. [DOI] [PubMed] [Google Scholar]
  • 30. Gonzalez de Requena D, Núñez M, Jiménez-Nácher I, Soriano V. Liver toxicity caused by nevirapine. AIDS. 2002;16(2):290–291. [DOI] [PubMed] [Google Scholar]
  • 31. Sulkowski MS, Thomas DL, Mehta SH, Chaisson RE, Moore RD. Hepatotoxicity associated with nevirapine or efavirenz-containing antiretroviral therapy: role of hepatitis C and B infections. Hepatology. 2002;35(1):182–189. [DOI] [PubMed] [Google Scholar]
  • 32. Angulo P. Nonalcoholic fatty liver disease. N Engl J Med. 2002;346(16):1221–1231. [DOI] [PubMed] [Google Scholar]
  • 33. Ingiliz P, Benhamou Y. Elevated liver enzymes in HIV monoinfected patients on HIV therapy: what are the implications? J HIV Ther. 2009;14(1):3–7. [PubMed] [Google Scholar]
  • 34. Sudfeld CR, Buchanan A, Ulenga N, et al. Effectiveness of a multivitamin supplementation program among HIV-infected adults in Tanzania. AIDS. 2019;33(1):93–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Arendt BM, Allard JP. Effect of atorvastatin, vitamin E and C on nonalcoholic fatty liver disease: is the combination required? Am J Gastroenterol. 2011;106(1):78–80. [DOI] [PubMed] [Google Scholar]
  • 36. Podszun M, Frank J. Vitamin E-drug interactions: molecular basis and clinical relevance. Nutr Res Rev. 2014;27(2):215–231. [DOI] [PubMed] [Google Scholar]
  • 37. Knip M, Douek IF, Moore WP, et al. Safety of high-dose nicotinamide: a review. Diabetologia. 2000;43(11):1337–1345. [DOI] [PubMed] [Google Scholar]
  • 38. Winter SL, Boyer JL. Hepatic toxicity from large doses of vitamin B3 (nicotinamide). N Engl J Med. 1973;289(22):1180–1182. [DOI] [PubMed] [Google Scholar]

Articles from Journal of the International Association of Providers of AIDS Care are provided here courtesy of SAGE Publications

RESOURCES