Randomized Trial of a Health Coaching Intervention to Enhance Retention in Care: California Collaborative Treatment Group 594.

Poor linkage, engagement and retention remain significant barriers in achieving HIV treatment goals in the US. HIV-infected persons entering or re-entering care across three Southern California academic HIV clinics, were randomized (1:1) to an Active, Linkage, Engagement, Retention and Treatment (ALERT) specialist for outreach and health coaching, or standard of care (SOC). The primary outcome of time to loss to follow up (LTFU) was compared using Cox proportional hazards regression modeling. No differences in the median time to LTFU (81.7 for ALERT versus 93.6 weeks for SOC; HR 1.27; p = 0.40), or time to ART initiation was observed (N = 116). Although, ALERT participants demonstrated worsening depressive symptomatology from baseline to week 48 compared to SOC (p = 0.02). The ALERT intervention did not improve engagement and retention in HIV care over SOC. Further studies are needed to determine how best to apply resources to improve retention and engagement

Transmitted Drug Resistance in the CFAR Network of Integrated Clinical Systems Cohort: Prevalence and Effects on Pre-Therapy CD4 and Viral Load

Human immunodeficiency virus type 1 (HIV-1) genomes often carry one or more mutations associated with drug resistance upon transmission into a therapy-naïve individual. We assessed the prevalence and clinical significance of transmitted drug resistance (TDR) in chronically-infected therapy-naïve patients enrolled in a multi-center cohort in North America. Pre-therapy clinical significance was quantified by plasma viral load (pVL) and CD4+ cell count (CD4) at baseline. Naïve bulk sequences of HIV-1 protease and reverse transcriptase (RT) were screened for resistance mutations as defined by the World Health Organization surveillance list. The overall prevalence of TDR was 14.2%. We used a Bayesian network to identify co-transmission of TDR mutations in clusters associated with specific drugs or drug classes. Aggregate effects of mutations by drug class were estimated by fitting linear models of pVL and CD4 on weighted sums over TDR mutations according to the Stanford HIV Database algorithm. Transmitted resistance to both classes of reverse transcriptase inhibitors was significantly associated with lower CD4, but had opposing effects on pVL. In contrast, position-specific analyses of TDR mutations revealed substantial effects on CD4 and pVL at several residue positions that were being masked in the aggregate analyses, and significant interaction effects as well. Residue positions in RT with predominant effects on CD4 or pVL (D67 and M184) were re-evaluated in causal models using an inverse probability-weighting scheme to address the problem of confounding by other mutations and demographic or risk factors. We found that causal effect estimates of mutations M184V/I ( pVL) and D67N/G ( and pVL) were compensated by K103N/S and K219Q/E/N/R. As TDR becomes an increasing dilemma in this modern era of highly-active antiretroviral therapy, these results have immediate significance for the clinical management of HIV-1 infections and our understanding of the ongoing adaptation of HIV-1 to human populations

Characterizing HIV Transmission Networks Across the United States

Background. Clinically, human immunodeficiency virus type 1 (HIV-1) pol sequences are used to evaluate for drug resistance. These data can also be used to evaluate transmission networks and help describe factors associated with transmission risk

Proyecto Compadre: Using Implementation Science to Tailor Peer Navigation for Latino Men in the US–Mexico Border Region

BackgroundLatino men who have sex with men (MSM) in San Diego have poor HIV testing and prevention outcomes compared with non-Latino White men. Peer navigation (PN) is a promising evidence-based intervention to reduce disparities but needs tailoring for Latino MSM.SettingsHealth centers near the US-Mexico border.MethodsUsing the Exploration, Preparation, Implementation, Sustainment Framework, we conducted mixed-methods implementation science study. In phase I, we conducted interviews with Latino men (n = 15), focus groups with staff (n = 7), and surveys with all to understand the Exploration, Preparation, Implementation, Sustainment factors associated with HIV testing and care linkage. In phase II, we conducted 31 web-based surveys with Latino men and staff to rank intervention and implementation strategies from phase I. Quantitative data were analyzed descriptively, integrated with qualitative data, and reviewed by our community-academic partnership to develop an implementation model.ResultsLatino men (N = 15) were 94% Spanish speaking, 67% gay identified, 27% US born, and their suggestions were to have navigators use peer referral to address barriers such as stigma; use the Latino social network to expand reach, leverage social media for peer-led intervention, and disseminate HIV information. Staff (N = 26) were 77% Spanish speaking, 35% gay-identified, 96% trained in cultural competency, and suggested including culturally appropriate HIV educational materials in Spanish, status and identity neutral programs, administrative/supervisorial/training structure for PNs, and PN compensation and team integration. Overall, results emphasized a need for a formalized PN model centered on referrals and using existing Latino community social networks.ConclusionsFindings can be packaged for future implementation of PN programs for Latino MSM

MRI Assessment of Treatment Response in HIV-associated NAFLD: A Randomized Trial of a Stearoyl-Coenzyme-A-Desaturase-1 Inhibitor (ARRIVE Trial).

Aramchol, an oral stearoyl-coenzyme-A-desaturase-1 inhibitor, has been shown to reduce hepatic fat content in patients with primary nonalcoholic fatty liver disease (NAFLD); however, its effect in patients with human immunodeficiency virus (HIV)-associated NAFLD is unknown. The aramchol for HIV-associated NAFLD and lipodystrophy (ARRIVE) trial was a double-blind, randomized, investigator-initiated, placebo-controlled trial to test the efficacy of 12 weeks of treatment with aramchol versus placebo in HIV-associated NAFLD. Fifty patients with HIV-associated NAFLD, defined by magnetic resonance imaging (MRI)-proton density fat fraction (PDFF) ≥5%, were randomized to receive either aramchol 600 mg daily (n = 25) or placebo (n = 25) for 12 weeks. The primary endpoint was a change in hepatic fat as measured by MRI-PDFF in colocalized regions of interest. Secondary endpoints included changes in liver stiffness using magnetic resonance elastography (MRE) and vibration-controlled transient elastography (VCTE), and exploratory endpoints included changes in total-body fat and muscle depots on dual-energy X-ray absorptiometry (DXA), whole-body MRI, and cardiac MRI. The mean (± standard deviation) of age and body mass index were 48.2 ± 10.3 years and 30.7 ± 4.6 kg/m2 , respectively. There was no difference in the reduction in mean MRI-PDFF between the aramchol group at -1.3% (baseline MRI-PDFF 15.6% versus end-of-treatment MRI-PDFF 14.4%, P = 0.24) and the placebo group at -1.4% (baseline MRI-PDFF 13.3% versus end-of-treatment MRI-PDFF 11.9%, P = 0.26). There was no difference in the relative decline in mean MRI-PDFF between the aramchol and placebo groups (6.8% versus 1.1%, P = 0.68). There were no differences in MRE-derived and VCTE-derived liver stiffness and whole-body (fat and muscle) composition analysis by MRI or DXA. Compared to baseline, end-of-treatment aminotransferases were lower in the aramchol group but not in the placebo arm. There were no significant adverse events. Conclusion: Aramchol, over a 12-week period, did not reduce hepatic fat or change body fat and muscle composition by using MRI-based assessment in patients with HIV-associated NAFLD (clinicaltrials.gov ID:NCT02684591)

MRI Assessment of Treatment Response in HIV‐associated NAFLD: A Randomized Trial of a Stearoyl‐Coenzyme‐A‐Desaturase‐1 Inhibitor (ARRIVE Trial)

Aramchol, an oral stearoyl-coenzyme-A-desaturase-1 inhibitor, has been shown to reduce hepatic fat content in patients with primary nonalcoholic fatty liver disease (NAFLD); however, its effect in patients with human immunodeficiency virus (HIV)-associated NAFLD is unknown. The aramchol for HIV-associated NAFLD and lipodystrophy (ARRIVE) trial was a double-blind, randomized, investigator-initiated, placebo-controlled trial to test the efficacy of 12 weeks of treatment with aramchol versus placebo in HIV-associated NAFLD. Fifty patients with HIV-associated NAFLD, defined by magnetic resonance imaging (MRI)-proton density fat fraction (PDFF) ≥5%, were randomized to receive either aramchol 600 mg daily (n = 25) or placebo (n = 25) for 12 weeks. The primary endpoint was a change in hepatic fat as measured by MRI-PDFF in colocalized regions of interest. Secondary endpoints included changes in liver stiffness using magnetic resonance elastography (MRE) and vibration-controlled transient elastography (VCTE), and exploratory endpoints included changes in total-body fat and muscle depots on dual-energy X-ray absorptiometry (DXA), whole-body MRI, and cardiac MRI. The mean (± standard deviation) of age and body mass index were 48.2 ± 10.3 years and 30.7 ± 4.6 kg/m2 , respectively. There was no difference in the reduction in mean MRI-PDFF between the aramchol group at -1.3% (baseline MRI-PDFF 15.6% versus end-of-treatment MRI-PDFF 14.4%, P = 0.24) and the placebo group at -1.4% (baseline MRI-PDFF 13.3% versus end-of-treatment MRI-PDFF 11.9%, P = 0.26). There was no difference in the relative decline in mean MRI-PDFF between the aramchol and placebo groups (6.8% versus 1.1%, P = 0.68). There were no differences in MRE-derived and VCTE-derived liver stiffness and whole-body (fat and muscle) composition analysis by MRI or DXA. Compared to baseline, end-of-treatment aminotransferases were lower in the aramchol group but not in the placebo arm. There were no significant adverse events. Conclusion: Aramchol, over a 12-week period, did not reduce hepatic fat or change body fat and muscle composition by using MRI-based assessment in patients with HIV-associated NAFLD (clinicaltrials.gov ID:NCT02684591)

Coefficient estimates from AIC-selected linear models of baseline and plasma HIV RNA on position-specific SDRMs and demographic and risk factors.

<p>SDRMs are annotated by HXB2 reference residue and position (gene-specific numbering), followed by an ‘X’ to indicate a non-reference residue. Positions 46, 54, and 90 are in protease and all others are in reverse transcriptase. All estimates were averaged over an ensemble of linear models using Akaike weights. Only terms that were statistically significant () are reported here. NS = not significant.</p

Unadjusted and stabilized weight-adjusted linear models of multinomial exposure variables (M184X and (K103X or K219X)) and (D67X and K219X) on plasma HIV RNA and , respectively.

<p>The model intercepts are taken to be by default, <i>i.e.</i>, none of the designated mutations are present; these estimates are unchanged in the adjusted model and are not repeated for clarity of presentation. Significant () effect estimates are bolded.</p

CD4 cell count (raw) plotted against the sum of Stanford scores for nucleoside and non-nucleoside reverse transcriptase inhibitors ( and , respectively).

<p>The upper limit of CD4 ( cells/mL) was truncated to cells/mL (omitting 19 outliers) to emphasize the overall trend. Because the predicted baseline CD4 tended to decline with both and , we combined the scores into a single ordinal variable to facilitate interpretation. The linear model prediction is displayed as a solid line (generated by fitting a smoothing spline to the predicted values with smoothing parameter ), with confidence intervals displayed as dashed lines.</p

Three-dimensional scatterplot of -transformed plasma viral load (pVL) as a function of Stanford scores for NRTI and NNRTIs ( and ).

<p>Overall, higher was associated with higher pVL, while was inversely associated with pVL. The range of pVL () was truncated to emphasize the overall trend (omitting 73 outliers). The linear model prediction is displayed as a wireframe surface (generated by local polynomial regression with smoothing parameter ).</p