Correction: Incidence and predictors of treatment failure among children on first-line antiretroviral therapy in Amhara Region Referral Hospitals, northwest Ethiopia 2018: A retrospective study

Yihun, Birtukan Aklog; Kibret, Getiye Dejenu; Leshargie, Cheru Tesema

doi:10.1371/journal.pone.0217901

Cited by 5 publications

(11 citation statements)

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“…Of the sixteen studies in Southern Africa, nine were conducted in South Africa [ 11 - 18 , 25 ], one in Zimbabwe [ 19 ], two in Malawi [ 20 , 26 ], one in Zambia [ 21 ], two in Botswana [ 22 , 23 ] and one in Swaziland [ 24 ]. For East Africa, of the twenty-one, three were done in Tanzania [ 27 - 29 ], one in Rwanda [ 30 ], six in Kenya [ 31 - 36 ], eight in Ethiopia [ 4 , 37 - 40 , 43 , 45 , 46 ] and three in Uganda [ 41 , 42 , 44 ]. For west Africa, one from Ghana [ 47 ], three from Nigeria [ 48 , 49 , 52 ], and two from Cameroon [ 50 , 51 ].…”

Section: Resultsmentioning

confidence: 99%

Prevalence and predictors of virological failure in pediatric patients on HAART in sub-Saharan Africa: a systematic review and meta-analysis

Machila,

Libonda,

Habineza

et al. 2023

Pan Afr Med J

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Antiretroviral treatment failure has emerged as a challenge in the management of pediatric human immunodeficiency virus (HIV) patients, especially in resource-limited countries despite accessibility to Highly Active Antiretroviral Therapy (HAART). A systematic review and meta-analysis was conducted to synthesize virological failure (VF) prevalence and ascertain its predictors in children in sub-Saharan Africa. An electronic database search strategy was conducted from January to September 2021 on PubMed, EMBASE, SCOPUS, HINARI, and CINAHL. Further, manual searching was conducted on non-indexed journals. Utilizing the JASP© version 0.17.2 (2023) statistical software, a meta-analysis of pooled prevalence of VF was estimated using the standardized mean differences. Further, selection models were used to assess the risk of bias and heterogeneity. The pooled odds ratios were estimated for the respective studies reporting on predictors of VF. The overall pooled estimate of the prevalence of VF in sub-Saharan Africa among the sampled population was 29% (95% CI: 27.0-32.0; p<0.001). Predictors of VF were drug resistance (OR: 1.68; 95% CI: 0.88-2.49; p < 0.001), poor adherence (OR: 5.35; 95% CI: 5.26-5.45; p < 0.001), nevirapine (NVP)-based regimen (OR: 5.11; 95% CI: 4.66-5.56; p < 0.001), non-usage of cotrimoxazole prophylaxis (OR: 4.30; 95% CI: 4.13-4.47; p < 0.001), higher viral load at the initiation of antiretroviral therapy (ART) (OR: 244.32; 95% CI: 244.2-244.47; p <0.001), exposure to the prevention of mother to child transmission (PMTCT) (OR: 8.02; 95%CI: 7.58-8.46; p < 0.001), increased age/older age (OR: 3.37; 95% CI: 2.70-4.04; p < 0.001), advanced World Health Organization (WHO) stage (OR: 6.57; 95% CI: 6.17-6.98; p < 0.001), not having both parents as primary caregivers (OR: 3.01; 95% CI: 2.50-3.53; p < 0.001), and tuberclosis (TB) treatment (OR: 4.22; 95% CI: 3.68-4.76; p <0.001). The mean VF prevalence documented is at variance with studies in other developing countries outside the sub-Saharan region. The high prevalence of HIV cases contrasting with the limited expertise in the management of pediatric ART patients could explain this variance.

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Section: Resultsmentioning

confidence: 99%

Prevalence and predictors of virological failure in pediatric patients on HAART in sub-Saharan Africa: a systematic review and meta-analysis

Machila,

Libonda,

Habineza

et al. 2023

Pan Afr Med J

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“…Household structure factors included orphanhood (maternal or paternal) measured using items adapted from the 2011 South African census [ 38 ]; number of changes of caregiver experienced; household size , and relationship of primary caregiver to child , that is biological parent or not. Socioeconomic factors included adolescent age, sex, urban/rural location and living in formal or informal housing , using census-based items [ 39 ].…”

Section: Methodsmentioning

confidence: 99%

Clinic and care: associations with adolescent antiretroviral therapy adherence in a prospective cohort in South Africa

Cluver

Shenderovich

Toska

et al. 2021

Aids

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Section: Introductionmentioning

confidence: 92%

“…Virological failure accounts 48.98% followed by immunologic (28.57%) and mixed failures (22.44%). Poor ART adherence, drug regimens, AZT-3TC-NVP, and AZT-3TC-EFV, children whose both parents were died and WHO clinical stage-4 were found to be predictors for TF among the included children 23 Periodic surveillance is required for monitoring the prevalence of TF.Hence, the aim of this study was to determine the prevalence of first-line ART TF and identify factors associated with TF. This study also calculatedthe added value of second viral load on avoiding premature switching to the second line treatment.…”

Section: Introductionmentioning

confidence: 99%

First line antiretroviral treatment failure and associated factors among people living with HIV in northwest Ethiopia

Genet¹,

Mekonnen²,

Yizengaw³

et al. 2021

Afr H. Sci.

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Background: Anti-retroviral treatment enhances the immune status and reduces unwanted outcomes. However, develop- ment of treatment failure and drug resistance raises concern over lifelong treatments to chronic diseases such as HIV/AIDS. Objectives: This study determined proportion of treatment failure (TF) and identified factors associated with TF among people living with human immunodeficiency virus (HIV) in Bahir Dar, Northwest Ethiopia. Methods: Facility based cross sectional study was carried out from November, 2017 to April, 2018. Sociodemographic and clinical data were collected using structured questioner. Blood sample was collected and analyzed for viral load, complete blood count (CBC), liver and kidney function test and CD4 count. A patient is declared as treatment failure when viral load value is higher than 1000 RNA copies/ml in two consecutive viral load analyses within three months interval. Data were entered and analyzed using SPSS version 23. To identify factors associated with TF, logistic regressions model was employed. Results: A total of 430 people who had six months and above antiretroviral treatment (ART) follow up were enrolled in the study. Of these, 57.9% were females & the mean age was 38 years. The mean month of ART follow up was 83 months. In the first viral load analysis, 106 (24.7%) of the cohort were virologically failed. These failed people were followed for 3 months with intensive adherence support; then second viral load analysis showed a viralogical failure among 65 people of the second cohort. Thus, the overall viralogical failure or TF was 15.1%. The re-suppression rates were 41(38.7%). Male gender, people with history of drug discontinuation, poor adherence, irregular time of drug intake, multiple sexual practice showed significant association with TF. Moreover, base line and current CD4 counts of <200 cells/ml also demonstrated significant association with TF. Conclusion: Significant proportion of treatment failure was reported in the present study. Moreover, behavioral factors such as drug discontinuation, poor adherence, multiple sexual partner were associated with treatment failure. Hence, to avoid TF, regular patient counseling and monitoring should be in place. To identify the predictors for treatment failure, further follow-up study is desirable. Keywords: HIV; viral load; treatment failure; Ethiopia.

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Correction: Incidence and predictors of treatment failure among children on first-line antiretroviral therapy in Amhara Region Referral Hospitals, northwest Ethiopia 2018: A retrospective study

Cited by 5 publications

References 1 publication

Prevalence and predictors of virological failure in pediatric patients on HAART in sub-Saharan Africa: a systematic review and meta-analysis

Prevalence and predictors of virological failure in pediatric patients on HAART in sub-Saharan Africa: a systematic review and meta-analysis

Clinic and care: associations with adolescent antiretroviral therapy adherence in a prospective cohort in South Africa

First line antiretroviral treatment failure and associated factors among people living with HIV in northwest Ethiopia

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