The incidence of first-line antiretroviral treatment changes and related factors among HIV-infected sex workers in Nairobi, Kenya

Antiretroviral therapy regimen modification rates and associated factors in a cohort of HIV/AIDS patients in Asmara, Eritrea: a 16-year retrospective analysis

Combined antiretroviral therapy (cART) durability and time to modification are important quality indicators in HIV/AIDs treatment programs. This analysis describes the incidence, patterns, and factors associated with cART modifications in HIV patients enrolled in four treatment centers in Asmara, Eritrea from 2005 to 2021. Retrospective cohort study combining data from 5020 [males, 1943 (38.7%) vs. females, 3077 (61.3%)] patients were utilized. Data on multiple demographic and clinical variables were abstracted from patient's charts and cART program registry. Independent predictors of modification and time to specified events were evaluated using a multi-variable Cox-proportional hazards model and Kaplan-Meier analysis. The median (±IQR) age, CD4⁺ T-cell count, and proportion of patients with WHO Clinical stage III/IV were 48 (IQR 41-55) years; 160 (IQR 80-271) cells/µL; and 2667 (53.25%), respectively. The cumulative frequency of all cause cART modification was 3223 (64%): 2956 (58.8%) substitutions; 37 (0.7%) switches; and both, 230 (4.5%). Following 241,194 person-months (PMFU) of follow-up, incidence rate of cART substitution and switch were 12.3 (95% CI 11.9-12.8) per 1000 PMFU and 3.9 (95% CI 3.2-4.8) per 10,000 PMFU, respectively. Prominent reasons for cART substitution included toxicity/intolerance, drug-shortage, new drug availability, treatment failure, tuberculosis and pregnancy. The most common adverse event (AEs) associated with cART modification included lipodystrophy, anemia and peripheral neuropathy, among others. In the adjusted multivariate Cox regression model, Organisation (Hospital B: aHR = 1.293, 95% CI 1.162-1.439, p value < 0.001) (Hospital D: aHR = 1.799, 95% CI 1.571-2.060, p value < 0.001); Initial WHO clinical stage (Stage III: aHR = 1.116, 95% CI 1.116-1.220, p value < 0.001); NRTI backbone (D4T-based: aHR = 1.849, 95% CI 1.449-2.360, p value < 0.001) were associated with increased cumulative hazard of treatment modification. Baseline weight (aHR = 0.996, 95% CI 0.993-0.999, p value = 0.013); address within Maekel (aHR = 0.854, 95% CI 0.774-0.942, p value = 0.002); AZT-based backbones (aHR = 0.654, 95% CI 0.515-0.830, p value < 0.001); TDF-based backbones: aHR = 0.068, 95% CI 0.051-0.091, p value < 0.001), NVP-based anchors (aHR = 0.889, 95% CI 0.806-0.980, p value = 0.018) were associated with lower cumulative hazards of attrition. The minimal number of switching suggests inadequate VL testing. However, the large number of toxicity/intolerance and drug-shortage driven substitutions highlight important problems in this setting. Consequently, the need to advocate for both sustainable access to safer ARVs in SSA and improvements in local supply chains is warranted.

Determinants of therapy failure among adults on first-line antiretroviral therapy in Asmara, Eritrea: a multicenter retrospective matched case–control study

Background

Information on treatment failure (TF) in People living with HIV in a data-poor setting is necessary to counter the epidemic of TF with first-line combined antiretroviral therapies (cART) in sub-Saharan Africa (SSA). In this study, we examined the risk factors associated with TF in Asmara, Eritrea from 2001 to 2020.

Methods

A multicenter, retrospective 1:2 matched (by age and gender) case–control study was conducted in four major hospitals in Asmara, Eritrea on adults aged ≥ 18 years who were on treatment for at least 6 months. Cases were patients who fulfills at least one of the WHO therapy failure criterion during the study period. Controls were randomly selected patients on first-line treatment and plasma viral load < 1000 copies/ml in their latest follow-up measurement. Multivariable logistic regression analysis was conducted to identify risk factors for TF. All P-values were 2-sided and the level of significance was set at P < 0.05 for all analyses.

Results

Of the 1068 participants (356 cases; 712 controls), 585 (54.7%) were females. The median age at treatment initiation was 46 years [interquartile range (IQR): 39–51]. Median time to combined antiretroviral therapy (cART) failure was 37 months (IQR = 24–47). In the multivariate analysis, factors associated with increased likelihood of TF included initial nucleoside reverse transcriptase inhibitors (NRTI) backbone (Zidovudine + Lamivudine (AZT + 3TC): adjusted odds ratio (aOR) = 2.70, 95% Confidence interval (CI): 1.65–4.41, P-value < 0.001), (Abacavir + lamivudine (ABC + 3TC): aOR = 4.73, 95%CI: 1.18–18.92, P-value = 0.028], and (Stavudine + Lamivudine (D4T + 3TC): aOR = 5.00; 95% CI: 3.03–8.20, P-value < 0.001) in comparison to Emtricitabine and Tenofovir diproxil fumarate (FTC + TDF). Additional associations included prior exposure to cART (aOR = 2.28, 95%CI: 1.35–3.86; P- value = 0.002), record of sub-optimal drug adherence (aOR = 3.08, 95%CI: 2.22–4.28; P < 0.001), ambulatory/bedridden at presentation (aOR = 1.61, 95%CI: 1.12–4.28; P-value = 0.010), presence of comorbidities (aOR = 2.37; 95%CI: 1.36–4.10, P-value = 0.002), duration of cART (< 5 years: aOR: 5.90; 95% CI: 3.95–8.73, P-value < 0.001), and use of SMX-TMP prophylaxis (aOR = 2.00, 95%CI, 1.44–2.78, P-value < 0.001).

Conclusion

Our findings underscore the importance of optimizing cART adherence, diversification of cART regimens, and interventions directed at enhancing early HIV diagnosis, prompt initiations of treatment, and improved patient-focused monitoring of treatment response.

Incidence and Predictors of Initial Antiretroviral Therapy Regimen Change Among HIV-Infected Adults Receiving Antiretroviral Therapy at Arba Minch General Hospital, Southern Ethiopia

Background

The effectiveness of the initial antiretroviral therapy regimen is the key to treatment success. However, regimen change affects this treatment success. Yet, evidence on the incidence and predictors of regimen change is scarce. Therefore, the aim of this study was to assess the incidence and predictors of initial antiretroviral therapy regimen change among HIV-infected adults receiving antiretroviral therapy.

Methods

An institutional-based retrospective cohort study was conducted. Data were collected from patients’ charts selected by simple random sampling. Data entered into EpiData version 4.43 and analyzed by STATA version 13. The life table was used to estimate cumulative survival. Kaplan–Meir curve and Log-rank test were used to compare the survival experience of explanatory variables. Cox proportional hazard model was used to identify predictors.

Results

Five hundred and eight patients were followed for 871.87 person-years of observation with the median follow-up period of 16.12 months. The incidence rate of initial ART regimen change was 11.36 (95% CI: 9.32–13.83) per 100 person-year and the median survival time is 54 months. Not disclosing HIV status (adjusted hazard ratio (AHR) = 5.41, 95% CI = 2.38–12.27), co-medication with ART (AHR = 4.64, 95% CI = 1.43–15.10), occurrence of side effect on initial regimen (AHR = 7.32, 95% CI = 4.43–12.10), baseline CD4 count <200 cells/mm3 (AHR = 2.18, 95% CI = 1.37–3.47), ambulatory/bedridden baseline functional status (AHR = 3.55, 95% CI = 2.30–5.48) were significant predictors of initial regimen change.

Conclusion

The incidence rate of initial ART regimen change was found to be low. HIV disclosure status, co-medication with ART, the occurrence of side effects on an initial regimen, low baseline CD4 count, ambulatory and bedridden baseline functional status were found to be predictors.

Second-line antiretroviral therapy regimen change among adults living with HIV in Amhara region: a multi-centered retrospective follow-up study

Objective

This study was conducted to determine the rate of initial second-line ART regimen change and its predictors among adults living with HIV in Amhara region. A retrospective follow-up study was conducted between February, 2008 and April, 2016 at eight governmental hospitals of Amhara region. Person-times and Cox proportional hazard model were fitted to determine the rate and to identify the significant predictors of second-line treatment regimen change.

Results

A total of 897 records of patients were analyzed. The overall rate of initial second-line drug regimen change was 24.2 per 100 person years. The rate of regimen change was decreased for patients with formal education (HR: 0.77, 95% CI 0.61–0.97), under WHO clinical stage-III (HR: 0.57, 95% CI 0.45–0.73), and WHO clinical stage-IV (HR: 0.64, 95% CI 0.43–0.96). Patients who were taking CPT (HR: 2.05, 95% CI 1.45–2.89) had an increased rate of regimen change. Furthermore, the rate of regimen change was decreased for patients who were switched to second-line treatment due to virological failure (HR: 0.36, 95% CI 0.25–0.53), and due to drug toxicity (HR: 0.48, 95% CI 0.28–0.81). Therefore, addressing significant predictors to maximize the durability on the initial regimen among ART clients is essential.

Electronic supplementary material

The online version of this article (10.1186/s13104-019-4429-3) contains supplementary material, which is available to authorized users.

Pattern of and reasons for antiretroviral therapy regimen change among adult HIV/AIDS patients at regional hospital in Eastern Ethiopia: A 10-year retrospective study

Objectives

Despite the successes of treatment with antiretroviral therapy in reducing morbidity and mortality among HIV-infected patients, long-term sustainability of the initial regimen has become challenging. Therefore, this study is aimed to address pattern of and reasons for change of antiretroviral therapy regimens among HIV/AIDS patients at Jugel Hospital, Eastern Ethiopia.

Methods

A retrospective cross-sectional study was conducted to review medical records of 220 patients who had been on treatment and experienced regimen change at least once from September 2006 to August 2016. Structured data abstraction format was customized from World Health Organization guideline. Data were entered in Epi-data version 3.1, and exported to and analyzed with Statistical Package for Social Sciences version 20. Following descriptive statistics, binary logistic regression was run to determine the association between selected variables and second-time regimen change.

Results

The mean age of patients was 37.6 (±8.9) years and 62.3% of them were female. Majority of the patients were presented to the hospital with World Health Organization clinical stage III (59.1%) and CD4 count below 200 cells/mm³ (68.6%). The mean duration of stay on initial regimen was found to be 3.26 (±1.92) years. The average number of initial regimen changes per year was 22 (±11.28). In two-thirds (66.36%) of the patients, their initial regimen was changed to tenofovir disproxil fumarate-based alternatives. The most-frequent reason for initial regimen change was toxicity (32.3%). Among those who experienced the regimen change for the first time, the prevalence of second-time regimen change was found to be 18.18%. Patients who had been taking tuberculosis treatment along with antiretroviral therapy were more likely to get their regimen changed for the second-time compared to those who were not infected with tuberculosis (adjusted odds ratio: 3.40; 95% confidence interval: 1.87-6.47). Besides, patients who were on zidovudine-based (adjusted odds ratio: 0.26; 95% confidence interval: 0.33-0.47) and tenofovir disoproxil fumarate-based regimens (adjusted odds ratio: 0.03; 95% confidence interval: 0.01-0.12) were less likely to get their regimen changed for the second-time compared to those who were on stavudine-based regimens.

Conclusion

The majority of the patients had their treatment regimen changed because of drug-related toxicities, treatment failure, and comorbid conditions. Some regimen changes might be attributable to failure of either hospital supply system or patient-related factors which would have been prevented considering limited number of treatment options. There must be consideration of risks and benefits prior to changing a particular regimen.