Factors associated with readmission risk in patients with HIV stratified by BMI: a hospital-based retrospective matched cohort study.

The existing literature on the effects of semaglutide in people with HIV (PWH) and diabetes mellitus remains limited. The aim of the present study is to evaluate the effect of semaglutide on weight control and inflammation in PWH. This is a prospective observational study that included PWH with type 2 diabetes mellitus monitored at the HIV Unit of the University General Hospital of Alexandroupolis and a matched control group of non-HIV individuals. Demographic, anthropometric, and clinical characteristics, including HIV-related data and comorbidities were reported. All participants received semaglutide with a gradual dose increase to 1 mg once weekly. Body Mass Index (BMI), glycosylated hemoglobin (HbA1c), and inflammatory markers (IL-6, TNF, hsCRP, sCD14, CD4/CD8 ratio) were recorded at baseline and at 6, 12, 18, and 24 months. A total of 50 participants (PWH: n=25; non-HIV: n=25) were included. At baseline, the mean BMI was 35.2±8.0kg/m2 for PWH and 36.1±6.0kg/m2 for non-HIV controls. Semaglutide treatment resulted in significant and sustained weight loss in both groups (p<0.001). At 24 months, the median weight loss was -14.6 kg in the PWH group and -18.8 kg in the non-HIV group for those with a baseline BMI >35kg/m2. Glycemic control also improved significantly, with mean HbA1c decreasing from 7.7%±1.23 to 5.2%±1.02 in PWH (p<0.001), and from 7.9%±1.16 to 5.6%±1.21 in non-HIV controls (p<0.001). Significant reductions were observed in hsCRP and sCD14 levels in both cohorts. A unique finding was the significant increase in the CD4/CD8 ratio in the PWH group, from a mean baseline of 0.54±0.12 to 0.83±0.14 at 24 months (p<0.001), a change not seen in the non-HIV controls. Semaglutide appears to be an effective and safe option for weight reduction and inflammation control in PWHIV. Further studies with a larger number of patients are necessary to substantiate these findings.

Steatotic liver disease is suggested to have a higher prevalence and severity in people with HIV (PHIV), including in those with a normal body mass index (BMI). In this study, we used data from the 2000HIV cohort to (1) assess the prevalence of liver steatosis and fibrosis in lean versus overweight/obese PHIV and (2) assess associations in these subgroups between steatosis and fibrosis with traditional risk factors and HIV-specific characteristics. The 2000HIV study cohort comprises 1895 virally suppressed PHIV that were included between 2019 and 2021 in 4 HIV treatment centers in the Netherlands. The majority (58.5%) underwent vibration-controlled transient elastography for the assessment of liver steatosis and fibrosis. The prevalence of steatosis (controlled attenuation parameter ≥263 dB/m) and fibrosis (liver stiffness measurement ≥7.0 kPa) was estimated. Multiple factors including HIV characteristics and antiretroviral drugs were tested in a logistic regression model for association with steatosis and fibrosis. Analyses were performed separately for lean (Asian descent: BMI < 23 kg/m2, other descent: BMI < 25 kg/m2) and overweight/obese (other BMI) participants. Of 1050 PHIV including 505 lean and 545 overweight/obese PHIV, liver steatosis was observed in 37.7% of the overall study population, 19.7% of lean, and 54% of overweight/obese PHIV, whereas fibrosis was observed in 9.0% of the overall study population, 5.9% of lean, and 12.0% of overweight/obese PHIV.All associations with fibrosis and most associations with steatosis concerned metabolic factors such as type 2 diabetes mellitus (overall population: adjusted odds ratio [aOR] for steatosis: 2.3 [1.21-4.4], P = .011; aOR for fibrosis: 3.7 [1.82-7.53], P < .001). Furthermore, in lean PLHIV, liver steatosis was associated with CD4 and CD8 counts at enrollment, dual therapy, and history of treatment with raltegravir (aOR: 3.6 [1.53-8.47], P = .003), stavudine (aOR: 3.73 [1.69-8.2], P = .001), and indinavir (aOR: 3.86 [1.59-9.37], P = .003). These associations were not observed in overweight/obese PHIV. Liver steatosis was highly prevalent, affecting approximately one-fifth of lean PHIV and half of overweight/obese PHIV. Fibrosis was observed in a minority. Both steatosis and fibrosis were associated with traditional metabolic risk factors. In addition, (prior) exposure to specific antiretroviral drugs was associated liver steatosis in lean, but not in overweight/obese PHIV. Implementing increased screening protocols could enhance the identification of steatotic liver disease in lean PHIV.

BackgroundWe aimed to investigate the prevalence of liver fibrosis and identify the associated risk factors among people with HIV (PWH) and metabolic dysfunction–associated steatotic liver disease (MASLD).MethodsAbdominal ultrasonography and transient elastography were performed to assess liver fibrosis and steatosis. Lean MASLD was defined as MASLD occurring in PWH with a body mass index (BMI) < 24 kg/m2. A cutoff of liver stiffness measurement ≥ 7.1 kPa was set for significant liver fibrosis. The prevalence, correlation factors, and risk factors were evaluated.ResultsAmong 361 PWH, 250 (69.25%) had a BMI < 24 kg/m2, and 141 (39.06%) were diagnosed with MASLD. The 141 PWH with MASLD were classified as 2 groups based on BMI: 58 (41.13%) as lean MASLD and 83 (58.87%) as overweight MASLD. Significant fibrosis was observed in 121 of the 361 PWH, including 75 of the 141 with MASLD, 28 of the 58 with lean MASLD, and 47 of the 83 with overweight MASLD. Among PWH with MASLD, independent risk factors for significant liver fibrosis included higher alanine aminotransferase levels and the presence of type 2 diabetes. Among PWH with lean MASLD, independent risk factors for significant liver fibrosis included elevated aspartate aminotransferase levels and the administration of non-nucleoside reverse transcriptase inhibitors.ConclusionsSignificant liver fibrosis is highly prevalent among PWH and MASLD. Multiple risk factors are associated with significant liver fibrosis among PWH. These findings underscore the importance of early identification and management of liver fibrosis in PWH.Clinical Trials RegistrationNCT04215926.

BackgroundMetabolic comorbidities including diabetes (DM) and dyslipidemia pose challenges to the long-term care of people with HIV (PWH). Incidence of cardiovascular disease and DM are reported at higher rates in PWH than the general population. Obesity is broadly prevalent in both the general population and PWH, and higher body mass index (BMI) can contribute to metabolic complications. Here we present longer-term follow up on incidence of DM, hypertension (HTN), BMI categorical shifts, and lipid changes over 144 weeks of blinded treatment from two trials of PWH initiating antiretroviral therapy.MethodsWe assessed incidence of metabolic complications in adult PWH in Study 1489: bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) vs dolutegravir/abacavir/ lamivudine (DTG/ABC/3TC) and Study 1490: B/F/TAF vs DTG+F/TAF. Treatment-emergent (TE) metabolic comorbidities were defined by standard MedDRA search lists. CDC-defined BMI categories were compared from baseline (BL) to Week 144. Analyses by sex at birth and race were performed, as well as for lipid changes.ResultsAmong 1,274 total participants, median (range) age was 33 years (18-77), 90% men, 33% black. In study 1489, BL prevalence of DM and HTN was 4.5 and 12.1% with TE DM and HTN in B/F/TAF being 0.7% and 10%, and for DTG/ABC/3TC 1.3% and 6.9%, respectively. In study 1490, BL prevalence of DM and HTN was 6.8 and 18.8% with TE DM and HTN in B/F/TAF being 2.1 and 5.8%, and for DTG+F/TAF 2.3 and 6.5%, respectively. BMI shift from Normal to Obese: B/F/TAF 0%, DTG/ABC/3TC 3.2%, p=0.12 (1489) (Table 1); B/F/TAF 2.5%, DTG+F/TAF 2.9% p=1.00 (1490) (Table 2). Subgroup analyses by gender/race showed similar findings for TE DM, HTN, and BMI changes. Median changes from BL fasted lipids were small (Table 1).Table 1§. Studies 1489 and 1490: Metabolic Outcomes from Baseline to Week 144Table 2±. Shift Table of BMI Category at Week 144 by Baseline BMI Category – OverallConclusionThrough over 144 weeks of follow up, PWH randomized to initiate B/F/TAF, DTG/ABC/3TC or DTG+F/TAF had low rates of incident DM or HTN-related AEs, with no statistically significant differences by treatment group. BMI changes/categorical shifts from BL did not significantly differ by regimen, and no clinically significant change or difference by regimen in lipids were observed. While data are limited by three years of follow up, they are strengthened by randomized study design of three widely used initial ART regimens.DisclosuresEric Daar, MD, Bristol-Myers Squibb (Consultant)Gilead Sciences Inc. (Consultant, Scientific Research Study Investigator, Advisor or Review Panel member, Research Grant or Support)Janssen (Consultant, Advisor or Review Panel member, Research Grant or Support)Merck (Consultant, Advisor or Review Panel member, Research Grant or Support)Teva (Consultant, Advisor or Review Panel member)ViiV Healthcare (Consultant, Advisor or Review Panel member, Research Grant or Support) Chloe Orkin, MD, Gilead Sciences Inc. (Grant/Research Support, Scientific Research Study Investigator, Other Financial or Material Support)Janssen (Research Grant or Support, Other Financial or Material Support)Merck (Research Grant or Support, Other Financial or Material Support)ViiV Healthcare (Research Grant or Support, Other Financial or Material Support) Paul Sax, MD, Gilead Sciences (Consultant, Grant/Research Support)Janssen (Consultant)Merck (Consultant, Research Grant or Support)ViiV (Consultant, Research Grant or Support) Jeffrey L. Stephens, MD, Gilead Sciences Inc. (Scientific Research Study Investigator, Research Grant or Support) Ellen Koenig, MD, Gilead Sciences Inc. (Scientific Research Study Investigator) Amanda Clarke, MD, Gilead Sciences Inc. (Consultant, Scientific Research Study Investigator, Other Financial or Material Support, Conference attendance sponsorship)ViiV Healthcare (Consultant, Other Financial or Material Support, Conference travel sponsorship) Axel Baumgarten, MD, AbbVie (Advisor or Review Panel member, Speaker’s Bureau)Bristol-Myers Squibb (Advisor or Review Panel member, Speaker's Bureau)Gilead Sciences Inc. (Scientific Research Study Investigator, Advisor or Review Panel member, Speaker's Bureau)Janssen (Speaker’s Bureau)Merck (Advisor or Review Panel member) Cynthia Brinson, MD, Abbvie (Scientific Research Study Investigator)BI (Scientific Research Study Investigator)Gilead Sciences Inc. (Scientific Research Study Investigator, Advisor or Review Panel member, Speaker's Bureau, Personal fees)GSK (Scientific Research Study Investigator)Novo Nordisk (Scientific Research Study Investigator)ViiV Healthcare (Scientific Research Study Investigator, Advisor or Review Panel member, Speaker's Bureau) Moti Ramgopal, MD FIDSA, Abbvie (Scientific Research Study Investigator, Speaker's Bureau)Gilead (Consultant, Scientific Research Study Investigator, Speaker's Bureau)Janssen (Consultant, Scientific Research Study Investigator, Research Grant or Support, Speaker's Bureau)Merck (Consultant, Scientific Research Study Investigator)ViiV (Consultant, Scientific Research Study Investigator, Speaker's Bureau) Hailin Huang, PhD, Gilead Sciences Inc. (Employee, Shareholder) Terry Farrow, MD, Gilead Sciences Inc. (Employee, Shareholder) Jared Baeten, MD, PHD, Gilead Sciences Inc. (Employee, Shareholder) Jason Hindman, PharmD, Gilead Sciences Inc. (Employee, Shareholder) Hal Martin, MD, MPH, Gilead Sciences Inc. (Employee, Shareholder) Kimberly Workowski, MD, Nothing to disclose

The relationship between the Charlson comorbidity index (CCI) and short-term readmission is as yet unknown. Therefore, we aimed to investigate whether the CCI was independently related to short-term readmission in patients with heart failure (HF) after adjusting for other covariates. From December 2016 to June 2019, 2008 patients who underwent HF were enrolled in the study to determine the relationship between CCI and short-term readmission. Patients with HF were divided into 2 categories based on the predefined CCI (low < 3 and high > =3). The relationships between CCI and short-term readmission were analyzed in multivariable logistic regression models and a 2-piece linear regression model. In the high CCI group, the risk of short-term readmission was higher than that in the low CCI group. A curvilinear association was found between CCI and short-term readmission, with a saturation effect predicted at 2.97. In patients with HF who had CCI scores above 2.97, the risk of short-term readmission increased significantly (OR, 2.66; 95% confidence interval, 1.566-4.537). A high CCI was associated with increased short-term readmission in patients with HF, indicating that the CCI could be useful in estimating the readmission rate and has significant predictive value for clinical outcomes in patients with HF.

Metabolic disease is increasing in people with HIV (PWH) in South Africa, but little is known about self-perceptions of body size, health, and nutritional behavior in this population. We performed a cross-sectional analysis of individual-level data from the 2016 South Africa Demographic and Health Survey. This survey measured HIV serostatus and body mass index (BMI). We categorized participants into six BMI groups: 18.5-22kg/m2, 22-25kg/m2, 25-27.5kg/m2, 27.5-30kg/m2, 30-35kg/m2, and ≥ 35kg/m2 and stratified them by HIV serostatus. Our outcomes were self-reported (1) body size and (2) health status among all participants, and intake of (3) chips and (4) sugar-sweetened beverages(SSB) in PWH. We described these metrics and used multivariable regression to evaluate the relationship between the nutritional behaviors and BMI ≥ 25kg/m2 in PWH only, adjusting for age, sex, educational attainment, and household wealth quintile. Of 6138 participants, 1163 (19.7%) were PWH. Among PWH, < 10% with a BMI 25-30kg/m2, < 20% with a BMI 30-35kg/m2 and < 50% with a BMI ≥ 35kg/m2 self-reported as overweight or obese. PWH reported being in poor health at higher rates than those without HIV at each BMI category except ≥ 35kg/m2. In adjusted models, SSB consumption was associated with BMI ≥ 25kg/m2 (1.13 [1.01-1.25], t-statistic = 2.14, p = 0.033) in PWH. Perceptions of body size may challenge efforts to prevent weight gain in PWH in South Africa. SSB intake reduction should be further explored as a modifiable risk factor for obesity.

Background Weight gain and associated metabolic complications are increasingly prevalent among people with HIV (PWH), especially those initiating second-generation integrase strand transfer inhibitors (INSTIs). Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are incretin-based therapies for diabetes that have been shown to result in substantial weight loss; however, studies of their efficacy in PWH are limited. We aimed to describe the prescribing practices and clinical outcomes of GLP-1 RA use among PWH. Methods We conducted a retrospective cohort study among PWH who were prescribed GLP-1 RAs at University of California, San Diego between 2/1/2021and 2/1/2023. Patients who were prescribed but never took GLP-1 RAs or those for whom weight data were not available after GLP-1 RA initiation were excluded. We collected baseline clinical data and calculated changes in weight, body mass index (BMI), and hemoglobin A1C (A1C) before and during receipt of GLP-1 RA. We conducted logistic regression to identify variables associated with more than 5% of total body weight loss. Results 227 patients met our inclusion criteria. Baseline characteristics are shown in Table 1. Ninety-nine patients (43%) were prescribed GLP-1 RAs for weight management alone without concurrent diabetes. Patients had received on average 15.2 months of GLP-1 RA therapy, with 92 (40.5%) achieving the maximum GLP-1 RA dose. On average, GLP-1 RA therapy resulted in a loss of 12 pounds, decrease in BMI by 1.8, and decrease in A1C by 0.5 among all patients and by 1.2 among patients with an A1C &amp;gt; 6.5 at baseline. In the multivariable analysis, higher baseline BMI [OR 1.07 (1.02-1.3)] and longer treatment duration of GLP-1 RA therapy [OR 1.04 (1.01-1.07)] were significantly more likely to be associated with &amp;gt;5% weight loss, whereas receipt of dulaglutide significantly decreased the likelihood of &amp;gt;5% weight loss compared to other GLP-1 RAs [OR 0.33 (0.17-0.66)]. Age, sex assigned at birth, race, ethnicity, ART regimen, baseline CD4 cell count, HIV viral load, and presence of diabetes were not predictive of weight change.Table 1.Baseline Patient Characteristics (N = 227)Table 2.Mean weight, BMI, and A1C before and during GLP-1 RA therapy for PWH Conclusion Use of GLP-1 RAs led to improvements in weight, BMI, and hemoglobin A1C among PWH and offers an additional strategy to address weight gain and related metabolic complications. Disclosures All Authors: No reported disclosures

IntroductionImpairment of the innate immune function may contribute to the increased risk of bacterial and viral infections in people with HIV (PWH). In this study we aimed to investigate the induced innate immune responses in PWH prior to and after initiation of combinational antiretroviral therapy (cART). Furthermore, we aimed to investigate if the induced innate immune responses before initiation of cART were associated with CD4+ T-cell recovery one year after initiating cART.Material and methodThe induced innate immune response was assessed by the TruCulture® whole blood technique in 32 PWH before cART initiation and after 1, 6 and 12 months. To mimic bacterial and viral infections we used a panel of three stimuli (lipopolysaccharide (LPS), resiquimod (R848), and polyinosinic:polycytidylic acid (Poly I:C)) to stimulate the extracellular Toll-like receptor (TLR) 4 and the intracellular TLR7/8 and TLR3, respectively. The following cytokine responses were analyzed by Luminex 200: Tumor Necrosis Factor (TNF)-α, Interleukin (IL)-1b, IL-6, IL-8, IL-10, IL-12p40, IL17A, Interferon (IFN)-α, and IFN-γ.ResultsAt baseline PWH with nadir CD4+ T-cell count <350 cell/µL had lower levels of LPS-, R848-, and Poly I:C-induced IL-6 and IFN-γ, LPS- and R848-induced TNF-α and IL-12, LPS induced IL-1b, and R848-induced IL-10 than PWH with nadir CD4+ T-cell count >350 cells/µL. The majority (>50%) had induced cytokine concentrations below the reference intervals at baseline which was most pronounced for the LPS- and Poly I:C-induced responses. The induced responses in the whole population improved after 12 months of cART, and more PWH had induced cytokine concentrations within the reference intervals after 12 months. However, the majority of PWH still had LPS-induced INF-α, INF-γ and Poly I:C-induced TNF-α and IL-6 below the reference interval. The induced innate immune responses before cART initiation were not associated with the CD4+ T-cell recovery after 12 months of cART.ConclusionThe innate immune response was impaired in PWH, with a more pronounced impairment in PWH with low nadir CD4+ T-cell count. Initiation of cART improved the innate immune response, but compared to the reference intervals, some impairment remained in PWH without viral replication.

HIV is an independent risk factor for heart failure (HF). However, the association of HIV severity with incident HF and the potential interaction with sex are incompletely understood. Integrated health care system. We conducted a cohort study of people with HIV (PWH) and matched people without HIV (PWoH), all aged ≥ 21 years and with no previous HF. Poisson regression was used to compare incident HF by HIV status, with PWH stratified by severity of HIV infection [defined by recent (<6 months) CD4 count, nadir CD4 count, or recent HIV RNA level]. Models were adjusted for sociodemographic characteristics, substance use, and HF risk factors. Analyses were conducted for men and women combined, then by sex. The study included 38,868 PWH and 386,569 PWoH (mean baseline age = 41.0 ± 10.8 years; 88% men). Compared with PWoH, incident HF risk was higher among PWH with lower recent CD4 [200-499 cells/µL, adjusted rate ratio (aRR) = 1.82, 95% confidence interval (CI) = 1.50 to 2.21 and <200 cells/µL, aRR = 3.26 (2.47 to 4.30)] and a low nadir CD4 [<200 cells/µL, aRR = 1.56 (1.37 to 1.79)] but not among PWH with normal CD4 [≥500 cells/µL, aRR = 1.14 (0.90 to 1.44)]. Higher incident HF risk was observed among PWH at all HIV RNA levels, with greater HF risk at higher HIV RNA levels. The excess HF risk associated with low CD4 (recent or nadir) and high HIV RNA was stronger among women than men (P interactions=0.05, 0.08, and 0.01, respectively). Given the association of HIV severity with HF, optimizing HIV treatment and management may be important for HF prevention among PWH.

Hospital readmissions among adults living with and without HIV in the US: findings from the Nationwide Readmissions Database

Studies on COVID-19 in people with HIV (PWH) have had limitations. Further investigations on risk factors and outcomes of SARS-CoV-2 infection among PWH are needed. This retrospective cohort study leveraged the national OPTUM COVID-19 data set to investigate factors associated with SARS-CoV-2 positivity among PWH and risk factors for severe outcomes, including hospitalization, intensive care unit stays, and death. A subset analysis was conducted to examine HIV-specific variables. Multiple variable logistic regression was used to adjust for covariates. Of 43 173 PWH included in this study, 6472 had a positive SARS-CoV-2 result based on a polymerase chain reaction test or antigen test. For PWH with SARS-CoV-2 positivity, higher odds were found for those who were younger (18-49 years), Hispanic White, African American, from the US South, uninsured, and a noncurrent smoker and had a higher body mass index and higher Charlson Comorbidity Index. For PWH with severe outcomes, higher odds were identified for those who were SARS-CoV-2 positive, older, from the US South, receiving Medicaid/Medicare or uninsured, a current smoker, and underweight and had a higher Charlson Comorbidity Index. In a subset analysis including PWH with HIV care variables (n = 5098), those with unsuppressed HIV viral load, a low CD4 count, and no antiretroviral therapy had higher odds of severe outcomes. This large US study found significant ethnic, racial, and geographic differences in SARS-CoV-2 infection among PWH. Chronic comorbidities, older age, lower body mass index, and smoking were associated with severe outcomes among PWH during the COVID-19 pandemic. SARS-CoV-2 infection was associated with severe outcomes, but once we adjusted for HIV care variables, SARS-CoV-2 was no longer significant; however, low CD4 count, high viral load, and lack of antiretroviral therapy had higher odds of severe outcomes.

BackgroundUsing a clinic cohort of ART naïve PWH, we sought to understand factors associated with massive weight gain as well as to assess if early weight gain could help predict massive weight gain at two years.MethodsThis was a retrospective cohort study of PWH from a large, urban clinic initiating first ART from January 2005 through March 2019, who had 21 – 27 months follow-up without ART changes, and were suppressed (HIV-RNA < 200 cps/ml) during that time. We defined massive weight gain as the top 20% of weight gainers at two years measured by percent (%) gain compared to baseline. Using bivariate and multivariate logistic regression (including factors in bivariate analysis with p< 0.20), we assessed the association of demographics, ART regimen, baseline CD4 count, HIV viral load, and body mass index (BMI) with weight gain at 2 years. We also assessed early weight gain (between 4 and 12 wks) and its association with massive weight gain at two years.ResultsOf 266 PWH included (table1), the median age was 36 years (IQR 29 - 45), 9% were women, 14% black, and 43% Latino. Overall, median % weight gain at 2 years was 4% (-1.1 – 11.6) In bivariate analyses, baseline factors significantly associated with massive weight gain included lower CD4 count, higher viral load, and lower baseline BMI. In multivariate analysis the odds of having massive weight gain were higher with lower CD4 count, adjusted odds ratio (aOR) 0.8 (95% CI 0.6 – 0.9) per 100 cells/ul increase and higher viral load, aOR 2.6 (95% CI 1.4 – 4.6) per 1 log increase. Early weights were available for 217 individuals at a median of 56 days (IQR 44 – 63) after ART initiation. Early weight gain correlated with % weight gain at 2 years (R=0.58). Individuals with ≤ 3% early weight gain represented 66% of the population and had a 10% risk (14 of 144) of having massive weight gain at 2 years. In contrast, 43 individuals had > 5% early weight gain and their risk of massive weight gain at 2 years was 56% (24 of 43). ConclusionIn this real-world dataset, drug class or specific NRTI use was not associated with massive weight gain which was primarily dependent on baseline CD4 count and HIV viral load. There was a moderate correlation between early weight gain and massive weight gain at 2 years which can help with patient counseling and interventions aimed at slowing weight gain in this population. DisclosuresAll Authors: No reported disclosures

Objectives: We examined the prevalence of low testosterone (LT) in the subset of men in the Proscar Long-term Efficacy and Safety Study (PLESS) who had serum total testosterone (TT) measured at baseline.Methods: PLESS enrolled 3040 men with benign prostatic hyperplasia (BPH). Of these men, 299 had TT and body mass index (BMI) measurements at baseline. Patients were classified as having LT if their baseline TT was <300 ng/dl.Results: Of the 299 PLESS patients with baseline TT and BMI measurements, 65 (21.7%) had LT. The prevalence of LT increased with increasing BMI, occurring in 8/78 (10.3%) normal weight patients (baseline BMI <25 kg/m2), 35/160 (21.9%) overweight patients (baseline BMI ≥25–<30 kg/m2), and 22/61 (36.1%) obese patients (baseline BMI ≥30 kg/m2).Conclusions: LT was observed in more than one in five PLESS patients with baseline TT and BMI measurements. The prevalence of LT increased with increasing BMI – more than one in three obese PLESS patients with baseline TT measurements had LT.

As people with HIV (PWH) live longer, age-appropriate colorectal cancer (CRC) screening is increasingly important. Limited data exist on CRC screening and outcomes comparing PWH and persons without HIV. Large integrated health care system. This study included PWH and demographically matched persons without HIV who were aged 50-75 years during 2005-2016 and had no previous CRC screening. We evaluated time to first CRC screening (fecal test, sigmoidoscopy, or colonoscopy). We also assessed detection of adenoma and CRC with sigmoidoscopy or colonoscopy by HIV status, accounting for CRC risk factors including sex, age, race/ethnicity, number of outpatient visits, smoking, body mass index, type-2 diabetes, and inflammatory bowel disease. Among PWH, we evaluated whether CD4 count (<200/200-499/≥500 cells/µL) was associated with adenoma and CRC. Among 3177 PWH and 29,219 persons without HIV, PWH were more likely to be screened (85.6% vs. 79.1% within 5 years, P < 0.001). Among those with sigmoidoscopy or colonoscopy, adenoma was detected in 161 (19.6%) PWH and 1498 (22.6%) persons without HIV, and CRC was detected in 4 (0.5%) PWH and 69 (1.0%) persons without HIV. In adjusted analyses, we found no difference in prevalence of either adenoma or CRC by HIV status (adjusted prevalence ratio = 0.97, 95% confidence interval: 0.83 to 1.12). Lower CD4 count did not increase likelihood of adenoma or CRC. Within an integrated health care system with an organized CRC screening program, we found no disparities in CRC screening uptake or outcomes among people with and without HIV, and CD4 count did not influence CRC risk among PWH.

Neural oscillations serving abstract reasoning are differentially associated with inflammatory markers in people with HIV.