Search

BackgroundGeographical allocation of interventions focusing on hotspots of human immunodeficiency virus (HIV) transmission has the potential to improve efficiency. We used phylogeographic analyses to identify hotspots of the HIV transmission in Cologne-Bonn, Germany.MethodsWe included 714 HIV-1 infected individuals, followed up at the University Hospitals Cologne and Bonn. Distance-based molecular network analyses were performed to infer putative relationships. Characteristics of genetically linked individuals and assortativity (shared characteristics) were analyzed. Geospatial diffusion (ie, viral gene flow) was evaluated using a Slatkin-Maddison approach. Geospatial dispersal was determined by calculating the average distance between the residences of linked individuals (centroids of 3-digit zip code).ResultsIn sum, 217/714 (30.4%) sequences had a putative genetic linkage, forming 77 clusters (size range: 2-8). Linked individuals were more likely to live in areas surrounding the city center (P = .043),

Background Mortality among people with human immunodeficiency virus (HIV) declined with the introduction of combination antiretroviral therapy. We investigated trends in mortality in people with HIV from 1999 through 2020. Methods Data were collected from the Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) cohort between January 1999 through January 2015 and the International Cohort Consortium of Infectious Disease (RESPOND) from October 2017 through December 2020. Age-standardized all-cause and cause-specific mortality rates, classified using Coding Causes of Death in HIV, were calculated. Poisson models were used to assess mortality over time. Results Among 55 716 participants followed for median 6 years (interquartile range, 3–11), 5263 died (mortality rate [MR], 13.7/1000 person-years of follow-up [PYFU]; 95% confidence interval [CI], 13.4–14.1). Changing mortality was observed: AIDS mortality was most common between 1999–2009 (n = 952; MR, 4.2/1000 PYFU; 95% CI, 4.0–4.5) and non-AIDS–defining malignancy (NADM) between 2010–2020 (n = 444; MR, 2.8/1000 PYFU; 95% CI, 2.5–3.1). In multivariable analysis, all-cause mortality declined (adjusted mortality rate ratio [aMRR], 0.97 per year; 95% CI,.96–.98), mostly 1999–2010 (aMRR, 0.96 per year; 95% CI,.95–.97) but was stable 2011–2020 (aMRR, 1.00 per year; 95% CI,.96–1.05). Mortality due to all known causes except NADM also declined. Conclusions Mortality among people with HIV in the D:A:D and/or RESPOND cohorts declined between 1999–2009 and was stable over the period 2010–2020. This decline in mortality was not fully explained by improvements in immunologic–virologic status or other risk factors. [ABSTRACT FROM AUTHOR]

Background Human immunodeficiency virus (HIV) infection leads to chronic immune activation/inflammation that can persist in virally suppressed persons on fully active antiretroviral therapy (ART) and increase risk of malignancies. The prognostic role of low CD4:CD8 ratio and elevated CD8 cell counts on the risk of cancer remains unclear. Methods We investigated the association of CD4:CD8 ratio on the hazard of non-AIDS defining malignancy (NADM), AIDS-defining malignancy (ADM) and most frequent group of cancers in ART-treated people with HIV (PWH) with a CD4 and CD8 cell counts and viral load measurements at baseline. We developed Cox proportional hazard models with adjustment for known confounders of cancer risk and time-dependent cumulative and lagged exposures of CD4:CD8 ratio to account for time-evolving risk factors and avoid reverse causality. Results CD4:CD8 ratios below 0.5, compared to above 1.0, were independently associated with a 12-month time-lagged higher risk of ADM and infection-related malignancies (adjusted hazard ratio 2.61 [95% confidence interval {CI }1.10–6.19] and 2.03 [95% CI 1.24–3.33], respectively). CD4 cell counts below 350 cells/μL were associated with an increased risk of NADMs and ADMs, as did infection, smoking, and body mass index-related malignancies. Conclusions In ART-treated PWH low CD4:CD8 ratios were associated with ADM and infection-related cancers independently from CD4 and CD8 cell counts and may alert clinicians for cancer screening and prevention of NADM. [ABSTRACT FROM AUTHOR]

Background Safety and tolerability of analytical treatment interruptions (ATIs) as a vital part of human immunodeficiency virus type 1 (HIV-1) cure studies are discussed. We analyzed current evidence for the occurrence of adverse events (AEs) during TIs. Methods Our analysis included studies that reported on AEs in HIV-1–infected patients undergoing TIs. All interventional and observational studies were reviewed, and results were extracted based on predefined criteria. The proportion of AEs was pooled using random-effects models. Metaregression was used to explore the influence of baseline CD4+ T-cell count, viral load, study type, previous time on combined antiretroviral therapy, and follow-up interval during TIs. Results We identified 1048 studies, of which 22 studies including 7104 individuals fulfilled the defined selection criteria. Included studies had sample sizes between 6 and 5472 participants, with durations of TI cycles ranging from 7 days to 27 months. The intervals of HIV-1-RNA testing varied from 2 days to 3 months during TIs. The overall proportion of AEs during TIs >4 weeks was 3% (95% confidence interval [CI], 0%–7%) and was lower in studies with follow-up intervals ≤14 days (0%; 95% CI, 0%–1%) than in studies with wider follow-up intervals (6%; 95% CI, 2%–13%; P value for interaction =.01). Conclusions We found moderate-quality evidence indicating that studies with narrow follow-up intervals did not show a substantial increase in AEs during TIs. Our findings indicate that ATI may be a safe strategy as part of HIV-1 cure trials by closely monitoring for HIV-1 rebound. [ABSTRACT FROM AUTHOR]

Background Timely availability of microbiological results from positive blood cultures is essential to enable early pathogen-directed therapy. The Accelerate Pheno system (ADX) is a novel technology using fluorescence in situ hybridization for rapid species identification (ID) and morphokinetic bacterial analysis for phenotypic antimicrobial susceptibility testing (AST), with promising results. Yet the impact of this technology on clinical management and patient outcome remains unclear. Methods We conducted a quasiexperimental before-and-after observational study and analyzed 3 groups with different diagnostic and therapeutic pathways following recent integration of ADX: conventional microbiological diagnostics with and without antimicrobial stewardship program (ASP) intervention, and rapid diagnostics (ADX in addition to conventional standard) with ASP intervention. Primary endpoints were time to adequate, to optimal and to step-down antimicrobial therapy. Secondary endpoints were antimicrobial consumption, in-hospital mortality, length of stay (LOS), and the incidence of Clostridioides difficile infection (CDI). Results Two hundred four patients (conventional diagnostics, n = 64; conventional diagnostics + ASP, n = 68; rapid diagnostics + ASP; n = 72) were evaluated. The use of ADX significantly decreased time from Gram stain to ID (median, 23 vs 2.2 hours, P <.001) and AST (median, 23 vs 7.4 hours, P <.001), from Gram stain to optimal therapy (median, 11 vs 7 hours, P =.024) and to step-down antimicrobial therapy (median, 27.8 vs 12 hours, P =.019). However, groups did not differ in antimicrobial consumption, duration of antimicrobial therapy, mortality, LOS, or incidence of CDI. Conclusions Use of ADX significantly reduced time to ID and AST as well as time to optimal antimicrobial therapy but did not affect antimicrobial consumption and clinical outcome. [ABSTRACT FROM AUTHOR]