101 research outputs found

    Dominantly Inherited Amyotrophic Lateral Sclerosis (Motor Neuron Disease)

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    The term amyotrophic lateral sclerosis was first introduced by Charcot to describe cases with mixed upper and lower motor neuron signs without sensory impairment. Later the syndromes of progressive bulbar palsy (PBP) and progressive muscular atrophy (PMA) were recognized to be variations of the same pathological process, and ALS was used as an inclusive term to refer to these syndromes as well. Although some authors reserve the term ALS for the specific syndrome of mixed upper and lower motor neuron lesions and use the term “motor neuron disease” to refer to the constellation of syndromes, most of the literature on familial cases uses ALS as a generic title. We will adhere to this convention

    Association Between Chronic Hepatitis C Virus Infection and Myocardial Infarction Among People Living With HIV in the United States.

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    Hepatitis C virus (HCV) infection is common among people living with human immunodeficiency virus (PLWH). Extrahepatic manifestations of HCV, including myocardial infarction (MI), are a topic of active research. MI is classified into types, predominantly atheroembolic type 1 MI (T1MI) and supply-demand mismatch type 2 MI (T2MI). We examined the association between HCV and MI among patients in the Centers for AIDS Research (CFAR) Network of Integrated Clinical Systems, a US multicenter clinical cohort of PLWH. MIs were centrally adjudicated and categorized by type using the Third Universal Definition of Myocardial Infarction. We estimated the association between chronic HCV (RNA+) and time to MI while adjusting for demographic characteristics, cardiovascular risk factors, clinical characteristics, and history of injecting drug use. Among 23,407 PLWH aged ≥18 years, there were 336 T1MIs and 330 T2MIs during a median of 4.7 years of follow-up between 1998 and 2016. HCV was associated with a 46% greater risk of T2MI (adjusted hazard ratio (aHR) = 1.46, 95% confidence interval (CI): 1.09, 1.97) but not T1MI (aHR = 0.87, 95% CI: 0.58, 1.29). In an exploratory cause-specific analysis of T2MI, HCV was associated with a 2-fold greater risk of T2MI attributed to sepsis (aHR = 2.01, 95% CI: 1.25, 3.24). Extrahepatic manifestations of HCV in this high-risk population are an important area for continued research

    Poorly Controlled HIV Infection: An Independent Risk Factor for Liver Fibrosis

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    Liver disease is a major cause of mortality among HIV-infected persons. There is limited information about the extent to which HIV disease severity impacts liver disease progression

    Seek, test, treat: substance-using women in the HIV treatment cascade in South Africa

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    Abstract Background Women in South Africa who use alcohol and other drugs face multiple barriers to HIV care. These barriers make it difficult for women to progress through each step in the HIV treatment cascade from diagnosis to treatment initiation and adherence. This paper examines correlates of HIV status, newly diagnosed HIV status, and use of antiretroviral therapy (ART). Methods Outreach workers recruited sexually active Black African women who used substances in Pretoria as part of a U.S. National Institutes of Health-funded geographically clustered randomized trial examining the effect of an intervention to reduce alcohol and drug use as well as sexual risk behaviors. To address the question of interest in the current investigation, cross-sectional baseline data were used. At study enrollment, all participants (N = 641) completed an interview, and underwent rapid HIV testing and biological drug screening. Those who tested positive for HIV and were eligible for ART were asked about their barriers to initiating or adhering to ART. Bivariate and multivariable logistic regression analyses were conducted to determine correlates of HIV status, newly diagnosed HIV, and ART use. Results At enrollment, 55% of participants tested positive for HIV, and 36% of these women were newly diagnosed. In multivariable analyses of the entire sample, women who had completed 10th grade were less likely to be living with HIV (OR 0.69; CI 0.48, 0.99) and those from the inner city were more likely to be living with HIV (OR 1.83; CI 1.26, 2.67). Among HIV-positive participants, women were less likely to be newly diagnosed if they had ever been in substance abuse treatment (OR 0.15; CI 0.03, 0.69) or used a condom at last sex (OR 0.58; CI 0.34, 0.98) and more likely to be newly diagnosed if they were physically assaulted in the past year (OR 1.97; CI 1.01, 3.84). Among women eligible for ART, fewer were likely to be on treatment (by self-report) if they had a positive urine test for opiates or cocaine (OR 0.27; CI 0.09, 0.80). Conclusions These results, although cross-sectional, provide some guidance for provincial authorities to address barriers to HIV care for sexually active, substance-using vulnerable women in Pretoria. Targeting the inner city with prevention campaigns, expanding and improving substance abuse treatment programs, linking clients with simultaneous HIV testing and treatment, and targeting women who have experienced sexual assault and violence may help the government achieve the UNAIDS 90-90-90 treatment target. Clinical Trials.gov NCT01497405 registered on December 1, 2011

    Evaluation of respondent-driven sampling in seven studies of people who use drugs from rural populations: findings from the Rural Opioid Initiative

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    Background Accurate prevalence estimates of drug use and its harms are important to characterize burden and develop interventions to reduce negative health outcomes and disparities. Lack of a sampling frame for marginalized/stigmatized populations, including persons who use drugs (PWUD) in rural settings, makes this challenging. Respondent-driven sampling (RDS) is frequently used to recruit PWUD. However, the validity of RDS-generated population-level prevalence estimates relies on assumptions that should be evaluated. Methods RDS was used to recruit PWUD across seven Rural Opioid Initiative studies between 2018-2020. To evaluate RDS assumptions, we computed recruitment homophily and design effects, generated convergence and bottleneck plots, and tested for recruitment and degree differences. We compared sample proportions with three RDS-adjusted estimators (two variations of RDS-I and RDS-II) for five variables of interest (past 30-day use of heroin, fentanyl, and methamphetamine; past 6-month homelessness; and being positive for hepatitis C virus (HCV) antibody) using linear regression with robust confidence intervals. We compared regression estimates for the associations between HCV positive antibody status and (a) heroin use, (b) fentanyl use, and (c) age using RDS-1 and RDS-II probability weights and no weights using logistic and modified Poisson regression and random-effects meta-analyses. Results Among 2,842 PWUD, median age was 34 years and 43% were female. Most participants (54%) reported opioids as their drug of choice, however regional differences were present (e.g., methamphetamine range: 4-52%). Many recruitment chains were not long enough to achieve sample equilibrium. Recruitment homophily was present for some variables. Differences with respect to recruitment and degree varied across studies. Prevalence estimates varied only slightly with different RDS weighting approaches, most confidence intervals overlapped. Variations in measures of association varied little based on weighting approach. Conclusions RDS was a useful recruitment tool for PWUD in rural settings. However, several violations of key RDS assumptions were observed which slightly impacts estimation of proportion although not associations

    Assessing and Refining Myocardial Infarction Risk Estimation Among Patients With Human Immunodeficiency Virus: A Study by the Centers for AIDS Research Network of Integrated Clinical Systems

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    Persons with human immunodeficiency virus (HIV) treated with antiretroviral therapy (ART) have improved longevity but are at elevated risk for myocardial infarction (MI) due to common MI risk factors and HIV-specific factors. Despite these elevated MI rates, optimal methods to predict MI risks for HIV-infected persons remain unclear
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