Background Peripheral neuropathy (PN) is a common and debilitating complication in people living with HIV (PLHIV). While HIV itself contributes to neuropathy, certain antiretroviral therapy (ART) drugs, particularly nucleoside reverse transcriptase inhibitors (NRTIs) such as stavudine (d4T) and zidovudine (AZT), are known for their neurotoxic effects. Objectives To evaluate the impact of ART on HIV-associated peripheral neuropathy (HIV-PN) and to determine whether certain ART regimens increase the risk or severity of neuropathy. Materials and Methods A cross-sectional study was conducted among 158 HIV-positive patients. Neuropathy was diagnosed using clinical criteria, Total Neuropathy Score (TNS), and nerve conduction studies (NCS). Patients were grouped based on their ART regimen, and statistical analysis was performed to assess the association between ART type and peripheral neuropathy severity. Results It was noted that patients on older NRTIs (stavudine, zidovudine) had significantly higher rates of peripheral neuropathy (p=0.002) and tenofovir-based regimens were associated with lower peripheral neuropathy prevalence (p=0.01). There was a significant correlation between the duration of ART exposure and peripheral neuropathy severity (p<0.001), suggesting a cumulative neurotoxic effect. Conclusion Older ART regimens, particularly stavudine and zidovudine, significantly contribute to HIV-PN. The study supports the WHO recommendation to phase out neurotoxic ART and highlights the importance of early ART regimen optimisation to prevent long-term neurological complications. Show less

Background HIV status disclosure is a complex process influenced by multiple factors beyond health system support. Understanding these factors is essential for developing comprehensive interventions to promote disclosure and improve HIV prevention and care outcomes. Methods A descriptive cross-sectional study was conducted in 10 health facilities offering comprehensive HIV/AIDS care in Mukono district, Uganda. Data was collected from 317 clients through interview-guided questionnaires. Data was entered using EPI data and analyzed using SPSS version 16, including logistic regression to identify factors associated with disclosure. Results Multiple factors influenced HIV status disclosure. Individual factors included knowledge about HIV (OR=2.34, 95% CI: 1.45-3.78), self-efficacy (OR=3.12, 95% CI: 1.87-5.21), and psychological readiness (OR=2.89, 95% CI: 1.76-4.75). Relationship factors included relationship quality (OR=3.56, 95% CI: 2.13-5.94), communication patterns (OR=2.78, 95% CI: 1.65-4.69), and anticipated partner reaction (OR=4.23, 95% CI: 2.54-7.05). Community factors included perceived stigma (OR=0.34, 95% CI: 0.21-0.56), cultural norms (OR=0.45, 95% CI: 0.27-0.75), and religious beliefs (OR=1.87, 95% CI: 1.12-3.14). Structural factors included economic dependence (OR=0.38, 95% CI: 0.23-0.63) and access to support services (OR=2.45, 95% CI: 1.47-4.08). Conclusions HIV status disclosure is influenced by a complex interplay of individual, relationship, community, and structural factors. Effective interventions to promote disclosure must address these multiple levels of influence, going beyond health system support to create enabling environments for disclosure at the individual, relationship, community, and structural levels. Show less

Introduction Contemporaneous substance abuse, violence and HIV/AIDS risks (SAVA) result in synergistic negative impacts (syndemic effects). Presence of and risks for syndemic SAVA conditions are common among emergency department (ED) patients, however research on these inter-related processes is limited in sub-Saharan Africa. This study utilizes structural equation modeling to examine the relationships of syndemic SAVA conditions among persons seeking emergency injury care in Nairobi, Kenya. Methods This secondary analysis of a prospective observational study examined SAVA syndemic conditions among non-pregnant, adult ED injury patients able to provide consent at Kenyatta National Hospital. Structural equation modeling using diagonally weighted least squares (DWLS), was used to quantify associations between three latent variables (substance use, HIV risks, violence exposure). HIV risk included partner HIV status, men who have sex with men (MSM), and gay identities; violence exposure covered emotional, physical or sexual violence in the past six months; substance use encompassed positive screening for alcohol use disorder, poly-substance use, injection drug use and injury-related substance use. Model fitness was assessed using the Bentler-Bonett Normalized Fit Index (BB NFI), Goodness of Fit Index (GFI) (>0.9) and standardized root mean square residual (SRMSR) (< 0.05). Covariance between the latent factors was estimated. Results Among 2,368 screened ED patients, 665 were enrolled. Males were 83% of the sample; median age was 30 years (IQR: 24-38). Fit indices using DWLS showed a close fitting model (GFI=0.99, BB NFI=0.95, SRMSR=0.04). The indicator variables had significant loadings on two of the three syndemic factors (substance use and violence exposure, β range 0.10-0.95); in the SEM only MSM status had a significant loading on HIV risk, which was insufficient to confirm the identification of the latent factor. Violence exposure and substance use risk had significant positive covariance (0.30, p<0.001). Discussion and Conclusion This study provides the first available data from ED patients in sub-Saharan Africa on SAVA conditions, showing a co-relationship of violence exposure and substance use but no significant associations with HIV risk. These results can be used to inform programmatic interventions for higher-risk persons addressing synergistic conditions during emergency care. Show less