Influence of Lost to Follow Up from Antiretroviral Therapy Among Retroviral Infected Patients at Tuberculosis Centers in Public Hospitals of Benishangul-Gumuz, Ethiopia

Incidence of loss to follow-up and its predictors among HIV-infected under-five children after initiation of antiretroviral therapy in West Amhara Comprehensive Specialized Referral Hospitals, Northwest Ethiopia: a multicenter retrospective follow-up study

BACKGROUND

Loss to follow-up (LTFU) among under-five children from HIV care profoundly affects the treatment outcomes of this vulnerable population. It is a major factor that negatively affects the benefits of antiretroviral therapy (ART). Current information about LTFU among HIV-positive under-five children on ART is essential for effective treatments. To far, nevertheless, limited research has been done in Ethiopia to address this issue. Thus, this study aimed to assess the incidence and predictors of LTFU among HIV-infected under-five children receiving ART in West Amhara Comprehensive Specialized Referral Hospitals.

METHODS

A multicenter institution-based retrospective follow-up study was conducted among 435 HIV-infected under-five children on ART selected by simple random sampling from January 1, 2010 to December 31, 2019, and data were collected between December 1, 2021, and January 31, 2022. A standardized data extraction tool adapted from the ART entry and follow-up forms was used. The event of interest for this study was LTFU, whereas the absence of LTFU was censored. Before being transferred to STATA version 14 for analysis, the data were entered into Epi-Data version 3.1. The Kaplan‒Meier curve was used to estimate an individual's survival-free probability at each specific point in time. The Cox proportional hazards model was used to identify predictors of LTFU.

RESULTS

Among the 420 records included in the final analysis, 30 (7.14%) of the individuals were LTFUs. The incidence rate of LTFU was 3.4 per 1000 person-months of observation (95% CI: 2.43-4.87). The survival probabilities of children after 12, 24, 36, and 48 months were 0.97, 0.92, 0.88, and 0.77, respectively. The independent predictors of LTFU were HIV infection in under-five children who lived in rural areas (AHR = 3.64; 95% CI: 1.41, 9.37), poor adherence to ART (AHR = 4.37; 95% CI: 1.59, 12.02), not receiving cotrimoxazole preventive therapy (AHR = 3.75; 95% CI: 1.39, 10.08), not receiving isoniazid prophylaxis (AHR = 3.4; 95% CI: 1.29, 9.01), and having a severe WHO clinical stage (AHR = 5.43; 95% CI: 1.38, 11.43).

CONCLUSION AND RECOMMENDATION

The incidence of loss to follow-up was high, especially in the first two years after ART initiation. The risk of LTFU was greater for those who were rural residents, had poor adherence, lacked cotrimoxazole preventive therapy, not given isoniazid prophylaxis, and presented with WHO clinical stages III and IV. Therefore, clinicians should emphasize for cotrimoxazole preventive therapy and isoniazid prophylaxis, for those living in rural areas, who present with poor adherence and WHO clinical stages III and IV.

Prevalence and predictors of viral load suppression in adults living with HIV in the western region of Ghana: A cross-sectional study

Background

Although antiretroviral therapy is beneficial and available free of cost to patients, several roadblocks still prevent patients from reaching viral suppression. This research aimed to determine the prevalence rate of viral suppression among people living with HIV in the western region of Ghana and identify the factors contributing to viral non-suppression.

Methods

A cross-sectional study was conducted on 7199 HIV-positive adults. All data from the Sekondi Public Health Laboratory database was exported to Microsoft Excel and then verified and filtered before being exported to STATA 16.1. Viral non-suppression was modeled statistically using logistic regression.

Results

Viral load suppression was achieved in 5465 (75.91%) study participants who received antiretroviral treatment. However, 1734 participants (24.0%) did not achieve viral suppression. Patients with poor adherence to ARV (AOR 0.30; 95% CI 0.16, 0.58) and fair adherence to ARV (AOR 0.23; 95% CI 0.12, 0.45) were associated with a lower odd of viral non-suppression. Patients with six (6) months to two (2) years of treatment before viral load testing (AOR 0.67; 95% CI 0.46, 0.98) were also associated with a lower likelihood of viral non-suppression.

Conclusions

The rate of non-suppression was high, and the suppression rate fell short of the UNAIDS target. Poor ARV adherence, fair ARV adherence, and a treatment duration of six (6) months to two (2) years before viral load testing appear to be obstacles to viral load suppression. The research findings seem to suggest that viral load testing supports viral non-suppression. Therefore, using viral load tests to monitor medication's effects on health can motivate patients to adhere to their prescribed medication regimen. More research is needed to determine whether viral load testing can improve adherence. Given the high rate of virologic failure, the study highlights the importance of identifying antiretroviral resistance patterns.

Predictors of the observed high prevalence of loss to follow-up in ART-experienced adult PLHIV: a retrospective longitudinal cohort study in the Tanga Region, Tanzania

BACKGROUND

Antiretroviral therapy (ART) programs have expanded rapidly, and they are now accessible free of charge, yet "loss to follow-up, LTFU" is still a national public health issue. LTFU may result in treatment failure, hospitalization, increased risk of opportunistic infections and drug-resistant strains, and shortening the quality of life. This study described the rates and predictors of LTFU among adults living with human immunodeficiency virus (PLHIV) on ART in the Tanga region, Tanzania.

METHODS

A retrospective longitudinal cohort study was conducted between October 2018 and December 2020 in Tanga's care and treatment health services facilities. The participants were HIV adult PLHIV aged 15 years and above on ART and attended the clinic at least once after ART initiation. LTFU was defined as not taking ART refills for 3 months or beyond from the last attendance of a refill and not yet classified as dead or transferred out. Cox proportional hazard regression models were employed to identify risk factors for LTFU. P values were two-sided, and we considered a p < 0.05 statistically significant.

RESULTS

57,173 adult PLHIV were on ART of them, 15,111 (26.43%) were LTFU, of whom 10,394 (68.78%) were females, and 4717 (31.22%) were males. Factors independently associated with LTFU involved age between 15 and 19 years (HR: 1.85, 95% CI 1.66-2.07), male sex (HR: 2.00 95% CI 1.51-2.62), divorce (HR: 1.35, 95% CI 1.24-1.48), second-line drug type (HR: 1.13, 95% CI 1.09-1.18), poor drug adherence (HR: 1.50, 95% CI 1.23-1.75), unsuppressed viral load (HR: 2.15, 95% CI 2.02-2.29), not on DTG-related drug (HR: 7.51, 95% CI 5.88-10.79), advanced HIV disease WHO stage III and IV (HR: 2.51, 95% CI 2.32-2.72). In contrast to cohabiting, ART duration < 1 year, and being pregnant showed a reduced likelihood of LTFU.

CONCLUSION

A high prevalence of LTFU was observed in this study. Young age, not using DTG-based regimen, WHO clinical stage IV, poor drug adherence, male sex, unsuppressed viral load, divorcee, and second-line regime were independently associated with LTFU. To reduce LTFU, evidence-based interventions targeting the identified risk factors should be employed.

Level of Attrition from Antiretroviral Therapy Among Human Immune Deficiency Virus-Infected Children: The Cases of Sidama Zone, Southern Ethiopia

Background

Human immune deficiency virus (HIV) remains one of the leading causes of infectious disease mortality and morbidity in Sub-Saharan Africa. Although remarkable progress has been made in prevention and treatment of HIV, there is a higher rate of loss to follow-up in HIV-infected children than in adults, once they enter care.

Objective

To determine the incidence and identify predictors of loss to follow-up among HIV-infected children on anti-retroviral treatment in Sidama Zone, Ethiopia.

Methods

A retrospective cohort study was done among children that were enrolled in ART care in Sidama Zone from September 2014 to August 2018. A total of 143 eligible children were included in this study. A structured checklist was used to extract data from patients’ medical records such as patient intake forms, electronic database, and registers. Data were entered, cleaned, coded, and analyzed by STATA version 12. Cox proportional hazards models were fitted to investigate predictors of loss to follow-up.

Results

Of the 143 participants, 76 (53.15%) were female children with a median age of 7 years and interquartile range of 4–9. The incidence rate was 5 per 100 person-years and the cumulative incidence 12.59%. The median follow-up time was 2.46 years and the total time at risk was 356.06 person-years. Furthermore, 55.56% and 72.22% of those lost to follow-up were within the first and the second years of follow-up, respectively. In multivariable Cox proportional model, only the TB status of the children was significantly associated with loss to follow-up with hazard ratio 3.348 [1.174831, 9.543494] and p-value of 0.024.

Conclusion

In this study, TB status of children was the significant determinant of loss to follow-up. However, the overall retention was 87.4% and a substantially higher proportion of loss was observed within the first and second years of follow-up.

Risk Factors for TB/HIV Coinfection and Consequences for Patient Outcomes: Evidence from 241 Clinics in the Democratic Republic of Congo

(1) Background: In resource-limited countries, patients with tuberculosis (TB)/HIV coinfection commonly face economic, sociocultural, and behavioral barriers to effective treatment. These barriers manifest from low treatment literacy, poverty, gender inequality, malnutrition, societal stigmas regarding HIV, and an absence of available care. It is critical for intervention programs to understand and assist in overcoming these barriers and any additional risks encountered by patients with TB/HIV coinfection. This study analyzes variation in TB/HIV coinfection and risks of negative outcomes among patients with TB/HIV coinfection compared to those without coinfection. (2) Methods: This quantitative study used data from 49,460 patients receiving ART from 241 HIV/AIDS clinics in Haut-Katanga and Kinshasa, two provinces in the Democratic Republic of Congo. Chi-square and logistic regression analysis were performed. (3) Results: Significantly higher proportions of patients with TB/HIV coinfection were men (4.5%; women, 3.3%), were new patients (3.7%; transferred-in, 1.6%), resided in the Kinshasa province (4.0%; Haut-Katanga, 2.7%), and were in an urban health zone (3.9%) or semi-rural health zone (3.1%; rural, 1.2%). Logistic regression analysis showed that after controlling for demographic and clinical variables, TB/HIV coinfection increased the risk of death (adjusted odds ratio (AOR), 2.26 (95% confidence interval (CI): 1.94–2.64)) and LTFU (AOR, 2.06 (95% CI: 1.82–2.34)). TB/HIV coinfection decreased the odds of viral load suppression (AOR, 0.58 (95% CI: 0.46–0.74)). (4) Conclusions: TB/HIV coinfection raises the risk of negative outcomes such as death, LTFU, and lack of viral load suppression. Our findings can help HIV clinics in Democratic Republic of Congo and other African countries to customize their interventions to improve HIV care and reduce care disparities among patients.