Performance and trend for quality of service in a large HIV/AIDS treatment program in Nigeria

Retention in Care Among People Living with HIV in Nigeria: A Systematic Review and Meta-analysis

BACKGROUND

In 2021, Nigeria had an estimated 1.9 million people living with the human immunodeficiency virus (PLHIV) and 1.7 million (90%) on antiretroviral therapy (ART). Study Design: A systematic review and meta-analysis.

METHODS

This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2020 guidelines. We searched PubMed, Embase, PsychINFO, CINAHL, Global Index Medicus, and Cochrane Library. Studies were included if they reported on ART retention in care among PLHIV in Nigeria. The random-effects meta-analyses were used to combine the studies that had complete retention data. The I2 statistic was used to assess the heterogeneity of the studies. A sensitivity analysis was then done by conducting a leave-one-out analysis. Afterward, data were analyzed using STATA version 18.

RESULTS

The search yielded 966 unique articles, of which 52 studies met the inclusion criteria for the meta-analysis, and four experimental studies were split into their component arms. The total number of study participants was 563,410, and the pooled retention rate was 72% (95% CI: 67%, 76%; I2=99.9%; n=57). Sub-analysis showed that the Southeast region of Nigeria had the highest retention of 86% (95% CI: 78%, 92%), and the South-South had the lowest retention (58%; 95% CI: 38%, 79%).

CONCLUSION

In Nigeria, the pooled ART retention rate is less than optimal to achieve the UNAIDS goal of 95%, thus developing new models for ART retention is needed.

Supragingival mycobiome of HIV-exposed-but-uninfected children reflects a stronger correlation with caries-free-associated taxa compared to HIV-infected or uninfected children

IMPORTANCE

Globally, caries is among the most frequent chronic childhood disease, and the fungal component of the microbial community responsible is poorly studied despite evidence that fungi contribute to increased acid production exacerbating enamel demineralization. HIV infection is another global health crisis. Perinatal HIV exposure with infection are caries risk factors; however, the caries experience in the context of perinatal HIV exposure without infection is less clear. Using high-throughput amplicon sequencing, we find taxonomic differences that become pronounced during late-stage caries. Notably, we show a stronger correlation with health-associated taxa for HIV-exposed-but-uninfected children when compared to unexposed and uninfected children. This aligns with a lower incidence of caries in primary teeth at age 6 or less for exposed yet uninfected children. Ultimately, these findings could contribute to improved risk assessment, intervention, and prevention strategies such as biofilm disruption and the informed design of pro-, pre-, and synbiotic oral therapies.

Analyses of Kaposi Sarcoma trends among adults establishing initial outpatient HIV care in Nigeria: 2006-2017

Background

The incidence of Human Immunodeficiency Virus (HIV)-associated Kaposi Sarcoma (KS) in the pre-antiretroviral therapy (ART) population remains high in several countries in sub-Saharan Africa. We examined trends of KS prevalence in adults, establishing initial outpatient HIV care from 2006 to 2017 in Nigeria.

Methods

We analyzed data of 16,431 adults (age ≥ 18 years) enrolled for HIV care from January 1, 2006, to December 31, 2017, in a large clinic in Jos, Nigeria. KS at enrollment was defined as KS recorded in the electronic health record within 30 days of clinic enrollment. Time trends were compared among four periods: 2006–2008, 2009–2011, 2012–2014, and 2015–2017 using logistic regression models. Annual trends were analyzed using join point regression and restricted splines.

Results

The study population had a mean age 35.1 (standard deviation, SD 9.5) years, and were 65.7% female (n = 10,788). The mean CD4 cell count was 220 (95% CI 117–223). The overall KS prevalence at entry was 0.59% (95% CI 0.48–0.72). Compared to 2006–2008, KS prevalence was significantly higher in 2009–2011 (adjusted odds ratio 5.07 (95% CI 3.12–8.24), p < 0.001), but remained unchanged in subsequent periods. Male sex and low CD4 T-cell count independently increased odds for KS.

Conclusions

Despite ART expansion, KS at enrollment showed no significant decline. The low CD4 cell count, across all periods, indicates delay in enrollment for HIV care, which increases KS risk. Interventions aimed at early HIV diagnosis and linkage to ART is critical to KS risk reduction in this population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13027-022-00424-4.

The Estimation of Transmitted Drug Resistance Mutation Strains Probability in the Treatment of HIV Using the Beta-Binomial Model

The human immunodeficiency virus (HIV) is a viral infection that destroys the human immune system resulting in acquired immunodeficiency syndrome (AIDS). The Zambia HIV prevalence rate (11.3%) remains among the highest in the sub-Saharan Africa. In the treatment of HIV-naive patients, a problem that relates to the transmitted drug resistance mutation strains (TDRMs) occurs in the administration of antiretroviral (ARV) drugs. To address this problem, we propose the use of transition probabilities when prescribing a switch from the first-line to the second-line or to the third-line regimen on the ARV drugs combination. We formulate a statistical technique to determine an optimal ARV drugs combination. To compute a transition probability matrix chart on ARV drugs combinations of the first-line and second-line regimens, we apply a beta-binomial hierarchical model on HIV data. The transition probability matrices corresponding to the ARV drugs combinations TDF+ETC+NVP, TDF+FTC+EFV, AZT+3TC+NVP, AZT+3TC+EFV, D4T+3TC+NVP, and D4T+3TC+EFV provide an upper triangular matrix of probabilities. We observe a higher probability of remaining in the same regimen state than moving to another state. A transition probability chart provides information on the most effective combination to prescribe to a patient in the presence of transmitted drug resistance mutation (TDRM) test results. The transmission probabilities play a major role in aiding the physicians make an informed decision to prescribe an optimal ARV drugs combination. We suggest a TDRM test to be carried out to all newly diagnosed HIV individuals before prescribing any of the ARV drugs combination.