Current Issue : October-December Volume : 2024 Issue Number : 4 Articles : 5 Articles
Background The COVID-19 pandemic has put the provision of health services globally at risk. In Sub-Saharan Africa, it had a major impact on HIV services. However, there is a lack of data on the post-pandemic period. This study aims to evaluate the resumption of HIV services and retention in care for adolescents and young people in the period following the COVID-19 pandemic. Methods A retrospective cohort study was conducted using interrupted time series analysis. Three periods were considered: pre-pandemic (form June 2019 to March 2020), pandemic (form April 2020 to March 2022) post-pandemic (from April 2022 to March 2023). Six outcome measures were considered: number of outpatient visits, HIV tests, HIV positivity ratio, the antiretroviral treatment (ART) non-adherence ratio, recall ratio, and the return ratio for adolescent and young adults on ART. Results During the study period, 447,515 outpatient visits and 126,096 HIV tests were recorded. After a reduction at the beginning of the pandemic period, both visits and tests increased during the pandemic (p < 0.05) and decreased in the post-pandemic (p < 0.05), recovering the pre-pandemic trends. The HIV positivity ratio slightly decreased from 3.3% to 1.7% during the study period (p < 0.05). The ART non-adherence ratio decreased from 23.4% to 2.4% throughout the study period (p < 0.05), with a drop at the beginning of the post-pandemic period (p < 0.05). The recall ratio increased during the study period (p < 0.05) with a drop at the beginning of the pandemic and postpandemic periods (p < 0.05). The return ratio decreased at the beginning of the pandemic (p < 0.05) but returned to the pre-pandemic ratio in the post-pandemic period. Conclusions The post-pandemic values of the investigated outcomes were comparable to pre-pandemic period, or even improved. Differently from other services, such as the community activities, that have been severely affected by COVID-19 pandemic, the HIV service system has shown resilience following emergency situation....
Background Despite antiretroviral treatment (ART), the human immunodeficiency virus (HIV) continues to pose a considerable health burden in resource-poor countries. This systematic review and meta-analysis aimed to determine the pooled incidence density of mortality and identify potential predictors among HIV-infected children receiving ART, from studies conducted in various parts of Ethiopia. Methods A comprehensive database search was made in Excerpta Medica, PubMed, Web of Science, African Journals Online, Google Scholar, and Scopus. We reported results following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis 2020. Excel Spreadsheet and STATA Version 14 software were used for data abstraction and meta-analysis, respectively. Statistical heterogeneity among studies was assessed using I2 statistics. Meta-regression and subgroup analysis were performed to further explore the sources of statistical heterogeneity. Moreover, publication bias and a leave-out-one sensitivity analysis were performed. Results Twenty-two articles involving 8,731 participants met inclusion criteria and were included. The pooled incidence density of mortality was 3.08 (95% confidence interval (CI), 2.52 to 3.64) per 100 child years. Predictors of mortality were living in rural areas (hazard ratio (HR), 2.18 [95% CI, 1.20 to 3.98]), poor adherence to ART (HR, 2.85 [ 95% CI, 1.39 to 5.88]), failure to initiate co-trimoxazole preventive therapy (HR, 2.16 [95% CI, 1.52 to 3.07]), anemia (HR, 2.28 [95% CI, 1.51 to 3.45]), opportunistic infections (HR, 1.52 [ 95% CI, 1.15 to 2.00]), underweight (HR, 1.74 [95% CI, 1.26 to 2.41]), wasting (HR, 2.54 [95% CI, 1.56 to 4.16]), stunting (HR, 2.02 [95% CI, 1.63 to 2.51]), World Health Organization classified HIV clinical stages III and IV (HR, 1.71 [95% CI, 1.42 to 2.05]), and Nevirapine-based regimens (HR, 3.91 [95% CI, 3.09 to 4.95]). Conclusions This study found that the overall mortality rate among HIV-infected children after ART initiation was high. Therefore, high-level commitment and involvement of responsible caregivers, healthcare providers, social workers, and program managers are of paramount importance to identify these risk factors and thus enhance the survival of HIV-infected children receiving ART....
Background Human genetic contribution to HIV progression remains inadequately explained. The type 1 interferon (IFN) pathway is important for host control of HIV and variation in type 1 IFN genes may contribute to disease progression. This study assessed the impact of variations at the gene and pathway level of type 1 IFN on HIV-1 viral load (VL). Methods Two cohorts of antiretroviral (ART) naïve participants living with HIV (PLWH) with either early (START ) or advanced infection (FIRST) were analysed separately. Type 1 IFN genes (n = 17) and receptor subunits (IFNAR1, IFNAR2) were examined for both cumulated type 1 IFN pathway analysis and individual gene analysis. SKAT-O was applied to detect associations between the genotype and HIV-1 study entry viral load (log10 transformed) as a proxy for set point VL; P-values were corrected using Bonferroni (P < 0.0025). Results The analyses among those with early infection included 2429 individuals from five continents. The median study entry HIV VL was 14,623 (IQR 3460–45100) copies/mL. Across 673 SNPs within 19 type 1 IFN genes, no significant association with study entry VL was detected. Conversely, examining individual genes in START showed a borderline significant association between IFNW1, and study entry VL (P = 0.0025). This significance remained after separate adjustments for age, CD4+ T-cell count, CD4+/CD8+ T-cell ratio and recent infection. When controlling for population structure using linear mixed effects models (LME), in addition to principal components used in the main model, this was no longer significant (p = 0.0244). In subgroup analyses stratified by geographical region, the association between IFNW1 and study entry VL was only observed among African participants, although, the association was not significant when controlling for population structure using LME. Of the 17 SNPs within the IFNW1 region, only rs79876898 (A > G) was associated with study entry VL (p = 0.0020, beta = 0.32; G associated with higher study entry VL than A) in single SNP association analyses. The findings were not reproduced in FIRST participants. Conclusion Across 19 type 1 IFN genes, only IFNW1 was associated with HIV-1 study entry VL in a cohort of ART-naïve individuals in early stages of their infection, however, this was no longer significant in sensitivity analyses that controlled for population structures using LME....
Background Self-management is the most important strategy to improve quality of life in patients with a chronic disease. Despite the increasing number of people living with HIV (PLWH) in low-income countries, very little research on self-management is conducted in this setting. The aim of this research is to understand the perspectives of service providers and experts on the importance of self-management for PLWH. Methods A systematizing expert interview type of qualitative methodology was used to gain the perspectives of experts and service providers. The study participants had experience in researching, managing, or providing HIV service in east and southern African (ESA) countries. All the interviews were audio recorded, transcribed, and translated to English. The quality of the transcripts was ensured by randomly checking the texts against the audio record. A thematic analysis approach supported by Atlas TI version 9 software. Result PLWH face a variety of multi-dimensional problems thematized under contextual and process dimensions. The problems identified under the contextual dimension include disease-specific, facility-related, and social environment-related. Problems with individual origin, such as ignorance, outweighing beliefs over scientific issues, low self-esteem, and a lack of social support, were mostly highlighted under the process dimensions. Those problems have a deleterious impact on self-management, treatment outcomes, and the quality of life of PLWH. Low self-management is also a result of professional-centered service delivery in healthcare facilities and health service providers’ incapacity to comprehend a patient’s need beyond the medical concerns. Participants in the study asserted that patients have a significant stake in enhancing treatment results and quality of life through enhancing self-management. Conclusion and recommendation HIV patients face multifaceted problems beyond their medical issues. The success of medical treatment for HIV is strongly contingent upon patients’ self-management practices and the supportive roles of their family, society, and health service providers. The development and integration of selfmanagement practices into clinical care will benefit patients, their families, and the health system....
Background Early prediction of mortality in individuals with HIV (PWH) has perpetually posed a formidable challenge. With the widespread integration of machine learning into clinical practice, some researchers endeavor to formulate models predicting the mortality risk for PWH. Nevertheless, the diverse timeframes of mortality among PWH and the potential multitude of modeling variables have cast doubt on the efficacy of the current predictive model for HIV-related deaths. To address this, we undertook a systematic review and meta-analysis, aiming to comprehensively assess the utilization of machine learning in the early prediction of HIV-related deaths and furnish evidence-based support for the advancement of artificial intelligence in this domain. Methods We systematically combed through the PubMed, Cochrane, Embase, and Web of Science databases on November 25, 2023. To evaluate the bias risk in the original studies included, we employed the Predictive Model Bias Risk Assessment Tool (PROBAST). During the meta-analysis, we conducted subgroup analysis based on survival and non-survival models. Additionally, we utilized meta-regression to explore the influence of death time on the predictive value of the model for HIV-related deaths. Results After our comprehensive review, we analyzed a total of 24 pieces of literature, encompassing data from 401,389 individuals diagnosed with HIV. Within this dataset, 23 articles specifically delved into deaths during long-term follow-ups outside hospital settings. The machine learning models applied for predicting these deaths comprised survival models (COX regression) and other non-survival models. The outcomes of the meta-analysis unveiled that within the training set, the c-index for predicting deaths among people with HIV (PWH) using predictive models stands at 0.83 (95% CI: 0.75–0.91). In the validation set, the c-index is slightly lower at 0.81 (95% CI: 0.78–0.85). Notably, the meta-regression analysis demonstrated that neither follow-up time nor the occurrence of death events significantly impacted the performance of the machine learning models. Conclusions The study suggests that machine learning is a viable approach for developing non-time-based predictions regarding HIV deaths. Nevertheless, the limited inclusion of original studies necessitates additional multicenter studies for thorough validation....
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