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Weatherspoon DJ, Kirk GD, Piggott DA, Thumbigere-Math V, Dye BA, Macek MD. Baltimore oral epidemiology, disease effects, and HIV evaluation study (BEEHIVE) study protocol: a prospective cohort study. BMC Oral Health 2024; 24:439. [PMID: 38600460 PMCID: PMC11008028 DOI: 10.1186/s12903-024-04200-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 03/28/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND As antiretroviral therapy has become widely available and highly effective, HIV has evolved to a manageable, chronic disease. Despite this health advancement, people living with HIV (PLWH) are at an increased risk for age-related non-communicable diseases (NCDs) compared to HIV-uninfected individuals. Similarly, PLWH are at an increased risk for selected oral diseases. PLWH with a history of injecting drugs experience an even greater burden of disease than their counterparts. The overall objective of the Baltimore Oral Epidemiology, Disease Effects, and HIV Evaluation (BEEHIVE) study is to determine the combined effects of HIV infection and NCDs on oral health status. The specific aims of the study are to: (1) determine to what extent HIV status influences access to and utilization of oral health care services; (2) determine to what extent HIV status affects self-reported and clinical oral health status; (3) determine to what extent HIV status influences the progression of periodontitis; and (4) determine to what extent HIV status impacts the periodontitis-associated oral microbiome signature. METHODS The BEEHIVE study uses a prospective cohort study design to collect data from participants at baseline and at a 24-month follow-up visit. Data are collected through questionnaire assessments, clinical examinations, and evaluation of oral microbiological samples to determine the drivers of oral disease among a high-risk population of PLWH with a history of injection drug use and prevalent comorbid NCDs. The established AIDS Linked to the Intravenous Experience (ALIVE) cohort serves as the source of participants for the BEEHIVE Study. DISCUSSION Upon completion of the BEEHIVE study, the knowledge gained will be important in informing future clinical and preventive interventions that can be implemented into medical and dental practice to ultimately help eliminate long-standing oral health inequities that PLWH experience.
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Affiliation(s)
- Darien J Weatherspoon
- University of Maryland School of Dentistry, 650 West Baltimore Street, Room 2209, Baltimore, MD, 21201, USA
| | - Gregory D Kirk
- Johns Hopkins Medicine, 615 North Wolfe Street, Room E6533, Baltimore, MD, 21205, USA
| | - Damani A Piggott
- Johns Hopkins Medicine, 600 North Wolfe Street, Baltimore, MD, 21287, USA
| | - Vivek Thumbigere-Math
- University of Maryland School of Dentistry, 650 West Baltimore Street, Room 2209, Baltimore, MD, 21201, USA
| | - Bruce A Dye
- University of Colorado School of Dental Medicine, Mail Stop F843 13065 East 17th Avenue, Room 104L, Aurora, CO, 80045, USA
| | - Mark D Macek
- University of Maryland School of Dentistry, 650 West Baltimore Street, Room 2207, Baltimore, MD, 21201, USA.
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Rudolph JE, Lau B, Genberg BL, Sun J, Kirk GD, Mehta SH. Characterizing multimorbidity in ALIVE: Comparing single and ensemble clustering methods. Am J Epidemiol 2024:kwae031. [PMID: 38576181 DOI: 10.1093/aje/kwae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/06/2024] [Accepted: 03/29/2024] [Indexed: 04/06/2024] Open
Abstract
Multimorbidity, defined as having 2 or more chronic conditions, is a growing public health concern, but research in this area is complicated by the fact that multimorbidity is a highly heterogenous outcome. Individuals in a sample may have a differing number and varied combinations of conditions. Clustering methods, such as unsupervised machine learning algorithms, may allow us to tease out the unique multimorbidity phenotypes. However, many clustering methods exist and choosing which to use is challenging because we do not know the true underlying clusters. Here, we demonstrate the use of 3 individual algorithms (partition around medoids, hierarchical clustering, and probabilistic clustering) and a clustering ensemble approach (which pools different clustering approaches) to identify multimorbidity clusters in the AIDS Linked to the Intravenous Experience cohort study. We show how the clusters can be compared based on cluster quality, interpretability, and predictive ability. In practice, it is critical to compare the clustering results from multiple algorithms and to choose the approach that performs best in the domain(s) that aligns with plans to use the clusters in future analyses.
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Affiliation(s)
- Jacqueline E Rudolph
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Bryan Lau
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Becky L Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jing Sun
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Shruti H Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
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Rudolph JE, Cepeda JA, Astemborski J, Kirk GD, Mehta SH, German D, Genberg BL. Longitudinal patterns of use of stimulants and opioids in the AIDS linked to the IntraVenous experience cohort, 2005-2019. Int J Drug Policy 2024; 126:104364. [PMID: 38408416 DOI: 10.1016/j.drugpo.2024.104364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/30/2024] [Accepted: 02/16/2024] [Indexed: 02/28/2024]
Abstract
BACKGROUND Overdoses involving opioids and stimulants are on the rise, yet few studies have examined longitudinal trends in use of both substances. We sought to describe use and co-use of opioids and stimulants, 2005-2019, in the AIDS Linked to the Intravenous Experience (ALIVE) cohort - a community-based cohort of people with a history of injection drug use living in or near Baltimore, MD. METHODS We included 2083 ALIVE participants, who had at least two visits during the study period. Our outcome was based on self-reported use of opioids and stimulants in the prior 6 months. We estimated prevalence of 4 categories of use (neither stimulants nor opioids, only stimulants, only opioids, stimulants and opioids), using a non-parametric multi-state model, accounting for the competing event of death and weighting for informative loss to follow-up. All analyses were stratified by enrollment cohort, with the main analysis including participants who enrolled prior to 2015 and a sub-analysis including participants who enrolled 2015-2018. RESULTS In the main analysis, prevalence of using stimulants and opioids decreased from 38 % in 2005 to 12 % 2013 but stabilized from 2014 onwards (13-19 %). The prevalence of using only stimulants (7-11 %) and only opioids (5-10 %) was stable across time. Participants who reported using both were more likely to report homelessness, depression, and other substance use (e.g., marijuana and heavy alcohol use) than participants in the other use categories. On average, 65 % of visits with use of both were followed by a subsequent visit with use of both; of participants transitioning out of using both, 13% transitioned to using neither. CONCLUSIONS While use of stimulants and opioids declined in the cohort through 2013, a meaningful proportion of participants persistently used both. More research is needed to understand and develop strategies to mitigate harms associated with persistent use of both stimulants and opioids.
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Affiliation(s)
- Jacqueline E Rudolph
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
| | - Javier A Cepeda
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Shruti H Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Danielle German
- Department of Health, Behavior & Society, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Becky L Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
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Eschliman EL, Patel EU, Murray SM, German D, Kirk GD, Mehta SH, Kaufman MR, Genberg BL. Drug Use-Related Discrimination in Healthcare Settings and Subsequent Emergency Department Utilization in a Prospective Cohort Study of People With a History of Injection Drug Use. Subst Use Misuse 2024; 59:1210-1220. [PMID: 38519443 DOI: 10.1080/10826084.2024.2330906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/25/2024]
Abstract
BACKGROUND People with a history of injection drug use face discrimination in healthcare settings that may impede their use of routine care, leading to greater reliance on the emergency department (ED) for addressing health concerns. The relationship between discrimination in healthcare settings and subsequent ED utilization has not been established in this population. METHODS This analysis used longitudinal data collected between January 2014 and March 2020 from participants of the ALIVE (AIDS Linked to the IntraVenous Experience) study, a community-based observational cohort study of people with a history of injection drug use in Baltimore, Maryland. Logistic regressions with generalized estimating equations were used to estimate associations between drug use-related discrimination in healthcare settings and subsequent ED utilization for the sample overall and six subgroups based on race, sex, and HIV status. RESULTS 1,342 participants contributed data from 7,289 semiannual study visits. Participants were predominately Black (82%), mostly male (66%), and 33% were living with HIV. Drug use-related discrimination in healthcare settings (reported at 6% of study visits) was positively associated with any subsequent ED use (OR = 1.40, 95% CI: 1.15-1.72). Positive associations persisted after adjusting for covariates, including past sixth-month ED use and drug use, among the overall sample (aOR = 1.28, 95% CI: 1.04-1.59) and among some subgroups. CONCLUSIONS Drug use-related discrimination in healthcare settings was associated with greater subsequent ED utilization in this sample. Further exploration of mechanisms driving this relationship may help improve care and optimize healthcare engagement for people with a history of injection drug use.
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Affiliation(s)
- Evan L Eschliman
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Eshan U Patel
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Sarah M Murray
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Danielle German
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shruti H Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Michelle R Kaufman
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Becky L Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Luken A, Rabinowitz JA, Wells JL, Sosnowski DW, Strickland JC, Thrul J, Kirk GD, Maher BS. Designing and Validating a Novel Method for Assessing Delay Discounting Associated With Health Behaviors: Ecological Momentary Assessment Study. JMIR Form Res 2024; 8:e48954. [PMID: 38412027 PMCID: PMC10933719 DOI: 10.2196/48954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 12/15/2023] [Accepted: 01/02/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Delay discounting quantifies an individual's preference for smaller, short-term rewards over larger, long-term rewards and represents a transdiagnostic factor associated with numerous adverse health outcomes. Rather than a fixed trait, delay discounting may vary over time and place, influenced by individual and contextual factors. Continuous, real-time measurement could inform adaptive interventions for various health conditions. OBJECTIVE The goals of this paper are 2-fold. First, we present and validate a novel, short, ecological momentary assessment (EMA)-based delay discounting scale we developed. Second, we assess this tool's ability to reproduce known associations between delay discounting and health behaviors (ie, substance use and craving) using a convenience-based sample. METHODS Participants (N=97) were adults (age range 18-71 years), recruited on social media. In phase 1, data were collected on participant sociodemographic characteristics, and delay discounting was evaluated via the traditional Monetary Choice Questionnaire (MCQ) and our novel method (ie, 7-item time-selection and 7-item monetary-selection scales). During phase 2 (approximately 6 months later), participants completed the MCQ, our novel delay discounting measures, and health outcomes questions. The correlations between our method and the traditional MCQ within and across phases were examined. For scale reduction, a random number of items were iteratively selected, and the correlation between the full and random scales was assessed. We then examined the association between our time- and monetary-selection scales assessed during phase 2 and the percentage of assessments that participants endorsed using or craving alcohol, tobacco, or cannabis. RESULTS In total, 6 of the 7 individual time-selection items were highly correlated with the full scale (r>0.89). Both time-selection (r=0.71; P<.001) and monetary-selection (r=0.66; P<.001) delay discounting rates had high test-retest reliability across phases 1 and 2. Phase 1 MCQ delay discounting function highly correlated with phase 1 (r=0.76; P<.001) and phase 2 (r=0.45; P<.001) time-selection delay discounting scales. One or more randomly chosen time-selection items were highly correlated with the full scale (r>0.94). Greater delay discounting measured via the time-selection measure (adjusted mean difference=5.89, 95% CI 1.99-9.79), but not the monetary-selection scale (adjusted mean difference=-0.62, 95% CI -3.57 to 2.32), was associated with more past-hour tobacco use endorsement in follow-up surveys. CONCLUSIONS This study evaluated a novel EMA-based scale's ability to validly and reliably assess delay discounting. By measuring delay discounting with fewer items and in situ via EMA in natural environments, researchers may be better able to identify individuals at risk for poor health outcomes.
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Affiliation(s)
- Amanda Luken
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Jill A Rabinowitz
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Jonathan L Wells
- Department of Epidemiology, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States
| | - David W Sosnowski
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Justin C Strickland
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Johannes Thrul
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, United States
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
- School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Brion S Maher
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
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Peterson TE, Hahn VS, Moaddel R, Zhu M, Haberlen SA, Palella FJ, Plankey M, Bader JS, Lima JA, Gerszten RE, Rotter JI, Rich SS, Heckbert SR, Kirk GD, Piggott DA, Ferrucci L, Margolick JB, Brown TT, Wu KC, Post WS. Proteomic Signature of HIV-Associated Subclinical Left Atrial Remodeling and Incident Heart Failure. medRxiv 2024:2024.02.13.24302797. [PMID: 38405757 PMCID: PMC10888991 DOI: 10.1101/2024.02.13.24302797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Background People living with HIV (PLWH) are at higher risk of heart failure (HF) and preceding subclinical cardiac abnormalities, including left atrial dilation, compared to people without HIV (PWOH). Hypothesized mechanisms include premature aging linked to chronic immune activation. We leveraged plasma proteomics to identify potential novel contributors to HIV-associated differences in indexed left atrial volume (LAVi) among PLWH and PWOH and externally validated identified proteomic signatures with incident HF among a cohort of older PWOH. Methods We performed proteomics (Olink Explore 3072) on plasma obtained concurrently with cardiac magnetic resonance imaging among PLWH and PWOH in the United States. Proteins were analyzed individually and as agnostically defined clusters. Cross-sectional associations with HIV and LAVi were estimated using multivariable regression with robust variance. Among an independent general population cohort, we estimated associations between identified signatures and LAVi using linear regression and incident HF using Cox regression. Results Among 352 participants (age 55±6 years; 25% female), 61% were PLWH (88% on ART; 73% with undetectable HIV RNA) and mean LAVi was 29±9 mL/m 2 . Of 2594 analyzed proteins, 439 were associated with HIV serostatus, independent of demographics, hepatitis C virus infection, renal function, and substance use (FDR<0.05). We identified 73 of these proteins as candidate contributors to the independent association between positive HIV serostatus and higher LAVi, enriched in tumor necrosis factor (TNF) signaling and immune checkpoint proteins regulating T cell, B cell, and NK cell activation. We identified one protein cluster associated with LAVi and HIV regardless of HIV viral suppression status, which comprised 42 proteins enriched in TNF signaling, ephrin signaling, and extracellular matrix (ECM) organization. This protein cluster and 30 of 73 individual proteins were associated with incident HF among 2273 older PWOH (age 68±9 years; 52% female; 8.5±1.4 years of follow-up). Conclusion Proteomic signatures that may contribute to HIV-associated LA remodeling were enriched in immune checkpoint proteins, cytokine signaling, and ECM organization. These signatures were also associated with incident HF among older PWOH, suggesting specific markers of chronic immune activation, systemic inflammation, and fibrosis may identify shared pathways in HIV and aging that contribute to risk of HF.
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Sun J, Zheng Q, Anzalone AJ, Abraham AG, Olex AL, Zhang Y, Mathew J, Safdar N, Haendel MA, Segev D, Islam JY, Singh JA, Mannon RB, Chute CG, Patel RC, Kirk GD. Effectiveness of mRNA Booster Vaccine Against Coronavirus Disease 2019 Infection and Severe Outcomes Among Persons With and Without Immune Dysfunction: A Retrospective Cohort Study of National Electronic Medical Record Data in the United States. Open Forum Infect Dis 2024; 11:ofae019. [PMID: 38379569 PMCID: PMC10878052 DOI: 10.1093/ofid/ofae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 01/09/2024] [Indexed: 02/22/2024] Open
Abstract
Background Real-world evidence of coronavirus disease 2019 (COVID-19) messenger RNA (mRNA) booster effectiveness among patients with immune dysfunction are limited. Methods We included data from patients in the United States National COVID Cohort Collaborative (N3C) who completed ≥2 doses of mRNA vaccination between 10 December 2020 and 27 May 2022. Immune dysfunction conditions included human immunodeficiency virus infection, solid organ or bone marrow transplant, autoimmune diseases, and cancer. We defined incident COVID-19 BTI as positive results from laboratory tests or diagnostic codes 14 days after at least 2 doses of mRNA vaccination; and severe COVID-19 BTI as hospitalization, invasive cardiopulmonary support, and/or death. We used propensity scores to match boosted versus nonboosted patients and evaluated hazards of incident and severe COVID-19 BTI using Cox regression after matching. Results Among patients without immune dysfunction, the relative effectiveness of booster (3 doses) after 6 months from the primary (2 doses) vaccination against BTI ranged from 69% to 81% during the Delta-predominant period and from 33% to 39% during the Omicron-predominant period. Relative effectiveness against BTI was lower among patients with immune dysfunction but remained statistically significant in both periods. Boosted patients had lower risk of COVID-19-related hospitalization (hazard ratios [HR] ranged from 0.5 [95% confidence interval {CI}, .48-.53] to 0.63 [95% CI, .56-.70]), invasive cardiopulmonary support, or death (HRs ranged from 0.46 [95% CI, .41-.52] to 0.63 [95% CI, .50-.79]) during both periods. Conclusions Booster vaccines remain effective against severe COVID-19 BTI throughout the Delta- and Omicron-predominant periods, regardless of patients' immune status.
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Affiliation(s)
- Jing Sun
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Qulu Zheng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Alfred J Anzalone
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Alison G Abraham
- Department of Epidemiology, University of Colorado, Anschutz Medical Campus, Denver, Colorado, USA
| | - Amy L Olex
- Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Yifan Zhang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jomol Mathew
- Department of Population Health Sciences, University of Wisconsin–Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Nasia Safdar
- Department of Medicine, University of Wisconsin–Madison, Madison, Wisconsin, USA
- Division of Infectious Diseases, William S. Middleton Veterans Affairs Hospital, Madison, Wisconsin, USA
| | - Melissa A Haendel
- Center for Health Artificial Intelligence, University of Colorado, Denver, Colorado, USA
| | - Dorry Segev
- Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Jessica Y Islam
- Center for Immunization and Infection in Cancer, Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Department of Oncologic Sciences, University of South Florida, Tampa, Florida, USA
| | - Jasvinder A Singh
- Department of Medicine and Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Roslyn B Mannon
- Division of Nephrology, Department of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Christopher G Chute
- Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, Maryland, USA
| | - Rena C Patel
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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Nguyen TQ, Roberts Lavigne LC, Brantner CL, Kirk GD, Mehta SH, Linton SL. Estimation of place-based vulnerability scores for HIV viral non-suppression: an application leveraging data from a cohort of people with histories of using drugs. BMC Med Res Methodol 2024; 24:21. [PMID: 38273277 PMCID: PMC10809603 DOI: 10.1186/s12874-023-02133-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 12/20/2023] [Indexed: 01/27/2024] Open
Abstract
The relationships between place (e.g., neighborhood) and HIV are commonly investigated. As measurements of place are multivariate, most studies apply some dimension reduction, resulting in one variable (or a small number of variables), which is then used to characterize place. Typical dimension reduction methods seek to capture the most variance of the raw items, resulting in a type of summary variable we call "disadvantage score". We propose to add a different type of summary variable, the "vulnerability score," to the toolbox of the researchers doing place and HIV research. The vulnerability score measures how place, as known through the raw measurements, is predictive of an outcome. It captures variation in place characteristics that matters most for the particular outcome. We demonstrate the estimation and utility of place-based vulnerability scores for HIV viral non-suppression, using data with complicated clustering from a cohort of people with histories of injecting drugs.
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Affiliation(s)
- Trang Quynh Nguyen
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health (JHSPH), Baltimore, MD, USA.
| | | | | | | | | | - Sabriya L Linton
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health (JHSPH), Baltimore, MD, USA
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Viard M, O'hUigin C, Yuki Y, Bashirova AA, Collins DR, Urbach JM, Wolinsky S, Buchbinder S, Kirk GD, Goedert JJ, Michael NL, Haas DW, Deeks SG, Walker BD, Yu X, Carrington M. Impact of HLA class I functional divergence on HIV control. Science 2024; 383:319-325. [PMID: 38236978 DOI: 10.1126/science.adk0777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/07/2023] [Indexed: 01/23/2024]
Abstract
Heterozygosity of Human leukocyte antigen (HLA) class I genes is linked to beneficial outcomes after HIV infection, presumably through greater breadth of HIV epitope presentation and cytotoxic T cell response. Distinct allotype pairs, however, differ in the extent to which they bind shared sets of peptides. We developed a functional divergence metric that measures pairwise complementarity of allotype-associated peptide binding profiles. Greater functional divergence for pairs of HLA-A and/or HLA-B allotypes was associated with slower AIDS progression and independently with enhanced viral load control. The metric predicts immune breadth at the peptide level rather than gene level and redefines HLA heterozygosity as a continuum differentially affecting disease outcome. Functional divergence may affect response to additional infections, vaccination, immunotherapy, and other diseases where HLA heterozygote advantage occurs.
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Affiliation(s)
- Mathias Viard
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Colm O'hUigin
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Yuko Yuki
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Arman A Bashirova
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - David R Collins
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Jonathan M Urbach
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Steven Wolinsky
- Division of Infectious Diseases, Department of Medicine, The Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Susan Buchbinder
- Bridge HIV, San Francisco Department of Public Health, San Francisco, CA, USA
- Department of Medicine, Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nelson L Michael
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - David W Haas
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Steven G Deeks
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Bruce D Walker
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Xu Yu
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
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Althoff KN, Stewart C, Humes E, Gerace L, Boyd C, Gebo K, Justice AC, Hyle EP, Coburn SB, Lang R, Silverberg MJ, Horberg MA, Lima VD, Gill MJ, Karris M, Rebeiro PF, Thorne J, Rich AJ, Crane H, Kitahata M, Rubtsova A, Wong C, Leng S, Marconi VC, D’Souza G, Kim HN, Napravnik S, McGinnis K, Kirk GD, Sterling TR, Moore RD, Kasaie P. The forecasted prevalence of comorbidities and multimorbidity in people with HIV in the United States through the year 2030: A modeling study. PLoS Med 2024; 21:e1004325. [PMID: 38215160 PMCID: PMC10833859 DOI: 10.1371/journal.pmed.1004325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/01/2024] [Accepted: 11/22/2023] [Indexed: 01/14/2024] Open
Abstract
BACKGROUND Estimating the medical complexity of people aging with HIV can inform clinical programs and policy to meet future healthcare needs. The objective of our study was to forecast the prevalence of comorbidities and multimorbidity among people with HIV (PWH) using antiretroviral therapy (ART) in the United States (US) through 2030. METHODS AND FINDINGS Using the PEARL model-an agent-based simulation of PWH who have initiated ART in the US-the prevalence of anxiety, depression, stage ≥3 chronic kidney disease (CKD), dyslipidemia, diabetes, hypertension, cancer, end-stage liver disease (ESLD), myocardial infarction (MI), and multimorbidity (≥2 mental or physical comorbidities, other than HIV) were forecasted through 2030. Simulations were informed by the US CDC HIV surveillance data of new HIV diagnosis and the longitudinal North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) data on risk of comorbidities from 2009 to 2017. The simulated population represented 15 subgroups of PWH including Hispanic, non-Hispanic White (White), and non-Hispanic Black/African American (Black/AA) men who have sex with men (MSM), men and women with history of injection drug use and heterosexual men and women. Simulations were replicated for 200 runs and forecasted outcomes are presented as median values (95% uncertainty ranges are presented in the Supporting information). In 2020, PEARL forecasted a median population of 670,000 individuals receiving ART in the US, of whom 9% men and 4% women with history of injection drug use, 60% MSM, 8% heterosexual men, and 19% heterosexual women. Additionally, 44% were Black/AA, 32% White, and 23% Hispanic. Along with a gradual rise in population size of PWH receiving ART-reaching 908,000 individuals by 2030-PEARL forecasted a surge in prevalence of most comorbidities to 2030. Depression and/or anxiety was high and increased from 60% in 2020 to 64% in 2030. Hypertension decreased while dyslipidemia, diabetes, CKD, and MI increased. There was little change in prevalence of cancer and ESLD. The forecasted multimorbidity among PWH receiving ART increased from 63% in 2020 to 70% in 2030. There was heterogeneity in trends across subgroups. Among Black women with history of injection drug use in 2030 (oldest demographic subgroup with median age of 66 year), dyslipidemia, CKD, hypertension, diabetes, anxiety, and depression were most prevalent, with 92% experiencing multimorbidity. Among Black MSM in 2030 (youngest demographic subgroup with median age of 42 year), depression and CKD were highly prevalent, with 57% experiencing multimorbidity. These results are limited by the assumption that trends in new HIV diagnoses, mortality, and comorbidity risk observed in 2009 to 2017 will persist through 2030; influences occurring outside this period are not accounted for in the forecasts. CONCLUSIONS The PEARL forecasts suggest a continued rise in comorbidity and multimorbidity prevalence to 2030, marked by heterogeneities across race/ethnicity, gender, and HIV acquisition risk subgroups. HIV clinicians must stay current on the ever-changing comorbidities-specific guidelines to provide guideline-recommended care. HIV clinical directors should ensure linkages to subspecialty care within the clinic or by referral. HIV policy decision-makers must allocate resources and support extended clinical capacity to meet the healthcare needs of people aging with HIV.
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Affiliation(s)
- Keri N. Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Cameron Stewart
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Elizabeth Humes
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Lucas Gerace
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Cynthia Boyd
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Kelly Gebo
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Amy C. Justice
- Yale Schools of Medicine and Public Health, New Haven, Connecticut, United States of America
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Emily P. Hyle
- Harvard Medical School and the Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard University Center for AIDS Research, Boston, Massachusetts, United States of America
| | - Sally B. Coburn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Raynell Lang
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Michael J. Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA and Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, United States of America
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America
| | - Michael A. Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland, United States of America
| | - Viviane D. Lima
- Epidemiology and Population Health Program, British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
| | - M. John Gill
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Maile Karris
- Department of Medicine, University of California San Diego, San Diego, California, United States of America
| | - Peter F. Rebeiro
- Departments of Medicine and Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Jennifer Thorne
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Ashleigh J. Rich
- Department of Social Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Heidi Crane
- Division of Allergy and Infectious Diseases, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Mari Kitahata
- Division of Allergy and Infectious Diseases, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Anna Rubtsova
- Department of Behavioral, Social, and Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, Georgia, United States of America
| | - Cherise Wong
- Division of Worldwide Research and Development, Pfizer Inc., New York City, New York, United States of America
| | - Sean Leng
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Vincent C. Marconi
- Division of Infectious Disease, Emory School of Medicine, Atlanta, Georgia, United States of America
- Atlanta Veterans Affairs Health Care System, Decatur, Georgia, United States of America
| | - Gypsyamber D’Souza
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Hyang Nina Kim
- Division of Allergy and Infectious Diseases, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Sonia Napravnik
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Kathleen McGinnis
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Timothy R. Sterling
- Vanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Richard D. Moore
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Parastu Kasaie
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
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11
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Baker P, Cepeda JA, Schluth C, Astemborski J, Feder KA, Rudolph J, Sun J, Kirk GD, Mehta SH, Genberg BL. Time-to-completion of COVID-19 vaccination primary series varies by HIV viral load status among people who inject drugs in Baltimore, Maryland. Prev Med Rep 2023; 36:102448. [PMID: 37840593 PMCID: PMC10570701 DOI: 10.1016/j.pmedr.2023.102448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 08/30/2023] [Accepted: 09/27/2023] [Indexed: 10/17/2023] Open
Abstract
People who inject drugs (PWID) may have diminished access to essential preventive services like COVID-19 vaccination given structural and substance use barriers. We aimed to assess the role of HIV on COVID-19 vaccination uptake among adult PWID participating in the ALIVE cohort study in Baltimore, Maryland who were alive as of April 2021. We abstracted COVID-19 vaccination data from electronic medical records via the regional health information exchange. We used Kaplan-Meier method to estimate time from universal vaccine eligibility (April 6, 2021) to completion of the COVID-19 vaccination primary series (1 dose J&J or 2 doses mRNA) by HIV viral load status (uninfected, PWH [HIV-RNA < 400 copies/mL], PWH [HIV-RNA ≥ 400 copies/mL]) and Cox Proportional Hazards regression to adjust for potential confounders. Our sample (N = 960) was primarily black (77%) and male (65%) with 31% reporting recent injection drug use. Among 265 (27%) people living with HIV (PWH) in our sample, 84% were virally suppressed. As of February 22, 2022, 539 (56%) completed the primary series, 131 (14%) received a single dose of mRNA vaccine and 290 (30%) remained unvaccinated. Compared to PWID without HIV, virally suppressed PWH were more likely to complete the primary series (Adjusted Hazard Ratio [aHR]:1.23,95% Confidence Interval [95 %CI]:1.07,1.50), while PWH who were not virally suppressed were less likely (aHR:0.72,95 %CI:0.45,1.16), although this was not statistically significant. We conclude that among PWID, HIV infection and viral suppression is associated with quicker vaccination uptake, likely due to HIV care engagement. Targeted improvements along the HIV care continuum may bolster vaccine uptake.
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Affiliation(s)
- Pieter Baker
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, United States
| | - Javier A Cepeda
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Catherine Schluth
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Kenneth A. Feder
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Jacqueline Rudolph
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Jing Sun
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
- School of Medicine, Johns Hopkins University, Baltimore, United States
| | - Shruti H. Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
| | - Becky L. Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States
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12
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Coyle CR, Gicquelais RE, Genberg BL, Astemborski J, Falade-Nwulia O, Kirk GD, Thomas DL, Mehta SH. Temporal trends in HCV treatment uptake and success among people who inject drugs in Baltimore, MD since the introduction of direct acting antivirals. Drug Alcohol Depend 2023; 253:111007. [PMID: 38456165 PMCID: PMC10917145 DOI: 10.1016/j.drugalcdep.2023.111007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
Background Although hepatitis C virus (HCV) can be cured by direct acting antivirals (DAA), uptake is not well characterized for people who inject drugs (PWID). Methods Among 1,130 participants of a community-based cohort of PWID with chronic HCV, we longitudinally characterized HCV treatment uptake and cure early (2014-2016) and later (2017-2020). Results Cumulative HCV treatment uptake increased from 4% in 2014 to 68% in 2020 and the percent with HCV viremia declined from nearly 100% to 33%. Predictors of treatment uptake varied across periods. Age (incidence rate ratio [IRR] per 5-year increase: 1.28; 95% confidence interval [CI]: 1.15, 1.42), educational attainment (IRR for ≥ high school diploma: 1.31; 95% CI: 1.04, 1.66), HIV coinfection with suppressed viral load (IRR vs. HIV negative: 2.08; 95% CI: 1.63, 2.66) and alcohol dependence (IRR vs. no alcohol use: 0.63; 95% CI: 0.43, 0.91) were associated with treatment uptake in the early period, but not later. HIV coinfection with a detectable viral load (IRR vs. HIV negative: 0.46; 95% CI: 0.23, 0.95) and daily injecting (IRR: 0.46 vs. no injection; 95% CI: 0.27, 0.79) were significantly associated with lower treatment uptake later. Homelessness was associated with significantly reduced likelihood of viral clearance in the late DAA era (IRR: 0.51; 95% CI: 0.30, 0.88). Conclusion Treatment uptake improved substantially in this cohort of PWID in the first five years of DAA availability with commensurate declines in viremia. Additional efforts are needed to treat those actively injecting and unstably housed in order to realize elimination goals.
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Affiliation(s)
- Catelyn R. Coyle
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States of America
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States of America
- Center for Observational and Real-World Evidence (CORE), Merck & Co, Inc, 351 N Sumneytown Pike, North Wales, PA 19454, United States of America
| | - Rachel E. Gicquelais
- School of Nursing, University of Wisconsin-Madison, 701 Highland Ave, Madison, WI 53705, United States of America
| | - Becky L. Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States of America
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States of America
| | - Oluwaseun Falade-Nwulia
- Division of Infectious Disease, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD 21205, United States of America
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States of America
- Division of Infectious Disease, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD 21205, United States of America
| | - David L. Thomas
- Division of Infectious Disease, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD 21205, United States of America
| | - Shruti H. Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States of America
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13
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Tewari SR, Kirk GD, Arking DE, Astemborski J, Newcomb C, Piggott DA, Mehta S, Lucas GM, Sun J. Mitochondrial DNA copy number is associated with incident chronic kidney disease and proteinuria in the AIDS linked to the intravenous experience cohort. Sci Rep 2023; 13:18406. [PMID: 37891237 PMCID: PMC10611749 DOI: 10.1038/s41598-023-45404-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
We evaluated the prospective association of mitochondrial DNA copy number (mtDNA CN) with markers of kidney function among a cohort of persons who inject drugs (PWID). This is a Prospective cohort study nested in the AIDS linked to the intravenous experience cohort (community-based cohort of PWID in Baltimore, MD). mtDNA CN was measured at two time-points 5 years apart using a real-time polymerase chain reaction. Kidney function (estimated glomerular filtration rate [eGFR], serum creatinine, urine protein) was measured annually. We used linear mixed effects models to evaluate kidney function trajectories (N = 946) and Cox regression models to assess hazard of incident CKD (eGFR < 60 at two consecutive visits, N = 739) and proteinuria (urine protein:creatinine ratio > 200, N = 573) by level of mtDNA CN (Low [lowest quartile], vs high [other three quartiles]. Models were adjusted for demographic and behavioral characteristics, HIV and/or HCV infection, and comorbidity burden. Low mtDNA CN was independently associated with higher hazard of incident CKD (aHR: 2.33, 95% CI 1.42, 3.80) and proteinuria (aHR: 1.42, 95% CI 1.04, 1.96). Participants with low mtDNA CN had greater declines in eGFR and greater increases in serum creatinine over time. Low mtDNA CN is associated with more rapid kidney function decline and risk of incident CKD and proteinuria.
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Affiliation(s)
- Sakshi R Tewari
- Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, USA
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Dan E Arking
- Department of Genetic Medicine, McKusick-Nathan Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, USA
| | - Charles Newcomb
- Department of Genetic Medicine, McKusick-Nathan Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Damani A Piggott
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Shruti Mehta
- Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, USA
| | - Gregory M Lucas
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Jing Sun
- Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, USA.
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14
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Javanbakht M, Khan L, Mustanski B, Shoptaw S, Baum MK, Mehta SH, Kirk GD, Lai S, Moore R, Milloy MJ, Kipke M, Hayashi K, DeBeck K, Siminski S, White LM, Gorbach P. Substance use and other factors associated with COVID-19 vaccine uptake among people at risk for or living with HIV: Findings from the C3PNO consortium. Prev Med Rep 2023; 35:102300. [PMID: 37455759 PMCID: PMC10289823 DOI: 10.1016/j.pmedr.2023.102300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 06/14/2023] [Accepted: 06/21/2023] [Indexed: 07/18/2023] Open
Abstract
Objective We describe the prevalence of COVID-19 vaccine uptake, substance use, and other factors associated with vaccine hesitancy among participants from nine North American cohort studies following a diverse group of individuals at risk for or living with HIV. Methods Between May 2021 and January 2022, participants completed a survey related to COVID-19 vaccination. Participants included those with and without substance use. Those responding as 'no' or 'undecided' to the question "Do you plan on getting the COVID-19 vaccine?" were categorized as vaccine hesitant. Differences between groups were evaluated using chi-square methods and multivariable log-binomial models were used to calculate prevalence ratios (PR) of COVID-19 vaccine hesitancy with separate models for each substance. Results Among 1,696 participants, COVID-19 vaccination was deferred or declined by 16%. Vaccine hesitant participants were younger, with a greater proportion unstably housed (14.8% vs. 10.0%; p = 0.02), and not living with HIV (48.% vs. 36.6%; p <.01). Vaccine hesitant participants were also more likely to report cannabis (50.0% vs. 42.4%; p = 0.03), methamphetamine (14.0% vs. 8.2%; p <.01), or fentanyl use (5.5% vs. 2.8%; p = 0.03). Based on multivariable analyses methamphetamine or fentanyl use remained associated with COVID-19 vaccine hesitancy (Adjusted PR = 1.4; 95% CI 1.1-1.9 and Adjusted PR = 1.6; 95% CI 1.0-2.6, respectively). Conclusion As new COVID-19 vaccines and booster schedules become necessary, people who use drugs (PWUD) may remain vaccine hesitant. Strategies to engage hesitant populations such as PWUD will need to be tailored to include special types of outreach such as integration with substance use programs such as safe injection sites or recovery programs.
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Affiliation(s)
- Marjan Javanbakht
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lamia Khan
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Brian Mustanski
- Institute for Sexual and Gender Minority Health and Wellbeing and Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
| | - Steve Shoptaw
- Department of Family Medicine, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Marianna K. Baum
- Department of Dietetics and Nutrition, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA
| | - Shruti H. Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Gregory D. Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Shenghan Lai
- Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Richard Moore
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - M-J Milloy
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Michele Kipke
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kanna Hayashi
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
| | - Kora DeBeck
- School of Public Policy, Simon Fraser University, Vancouver, Canada
| | | | - Lisa M White
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Pamina Gorbach
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
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15
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Coyle CR, Desjardins MR, Curriero FC, Rudolph J, Astemborski J, Falade-Nwulia O, Kirk GD, Thomas DL, Mehta SH, Genberg BL. Geographic variation in HCV treatment penetration among people who inject drugs in Baltimore, MD. J Viral Hepat 2023; 30:810-818. [PMID: 37382024 PMCID: PMC10527489 DOI: 10.1111/jvh.13864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/06/2023] [Accepted: 06/09/2023] [Indexed: 06/30/2023]
Abstract
We evaluated geographic heterogeneity in hepatitis C virus (HCV) treatment penetration among people who inject drug (PWID) across Baltimore, MD since the advent of direct-acting antivirals (DAAs) using space-time clusters of HCV viraemia. Using data from a community-based cohort of PWID, the AIDS Linked to the IntraVenous Experience (ALIVE) study, we identified space-time clusters with higher-than-expected rates of HCV viraemia between 2015 and 2019 using scan statistics. We used Poisson regression to identify covariates associated with HCV viraemia and used the regression-fitted values to detect adjusted space-time clusters of HCV viraemia in Baltimore city. Overall, in the cohort, HCV viraemia fell from 77% in 2015 to 64%, 49%, 39% and 36% from 2016 to 2019. In Baltimore city, the percentage of census tracts where prevalence of HCV viraemia was ≥85% dropped from 57% to 34%, 25%, 22% and 10% from 2015 to 2019. We identified two clusters of higher-than-expected HCV viraemia in the unadjusted analysis that lasted from 2015 to 2017 in East and West Baltimore and one adjusted cluster of HCV viraemia in West Baltimore from 2015 to 2016. Neither differences in age, sex, race, HIV status, nor neighbourhood deprivation were able to explain the significant space-time clusters. However, residing in a cluster with higher-than-expected viraemia was associated with age, sex, educational attainment and higher levels of neighbourhood deprivation. Nearly 4 years after DAAs became available, HCV treatment has penetrated all PWID communities across Baltimore city. While nearly all census tracts experienced improvements, change was more gradual in areas with higher levels of poverty.
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Affiliation(s)
- Catelyn R. Coyle
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Merck & Co. Inc., Rahway, NJ
| | - Michael R. Desjardins
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Frank C. Curriero
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Jacqueline Rudolph
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Oluwaseun Falade-Nwulia
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - David L. Thomas
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Shruti H. Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Becky L. Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
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16
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Koehler K, Wilks M, Green T, Rule AM, Zamora ML, Buehler C, Datta A, Gentner DR, Putcha N, Hansel NN, Kirk GD, Raju S, McCormack M. Evaluation of Calibration Approaches for Indoor Deployments of PurpleAir Monitors. Atmos Environ (1994) 2023; 310:119944. [PMID: 37901719 PMCID: PMC10609655 DOI: 10.1016/j.atmosenv.2023.119944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Low-cost air quality monitors are growing in popularity among both researchers and community members to understand variability in pollutant concentrations. Several studies have produced calibration approaches for these sensors for ambient air. These calibrations have been shown to depend primarily on relative humidity, particle size distribution, and particle composition, which may be different in indoor environments. However, despite the fact that most people spend the majority of their time indoors, little is known about the accuracy of commonly used devices indoors. This stems from the fact that calibration data for sensors operating in indoor environments are rare. In this study, we sought to evaluate the accuracy of the raw data from PurpleAir fine particulate matter monitors and for published calibration approaches that vary in complexity, ranging from simply applying linear corrections to those requiring co-locating a filter sample for correction with a gravimetric concentration during a baseline visit. Our data includes PurpleAir devices that were co-located in each home with a gravimetric sample for 1-week periods (265 samples from 151 homes). Weekly-averaged gravimetric concentrations ranged between the limit of detection (3 μg/m3) and 330 μg/m3. We found a strong correlation between the PurpleAir monitor and the gravimetric concentration (R>0.91) using internal calibrations provided by the manufacturer. However, the PurpleAir data substantially overestimated indoor concentrations compared to the gravimetric concentration (mean bias error ≥ 23.6 μg/m3 using internal calibrations provided by the manufacturer). Calibrations based on ambient air data maintained high correlations (R ≥ 0.92) and substantially reduced bias (e.g. mean bias error = 10.1 μg/m3 using a US-wide calibration approach). Using a gravimetric sample from a baseline visit to calibrate data for later visits led to an improvement over the internal calibrations, but performed worse than the simpler calibration approaches based on ambient air pollution data. Furthermore, calibrations based on ambient air pollution data performed best when weekly-averaged concentrations did not exceed 30 μg/m3, likely because the majority of the data used to train these models were below this concentration.
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Affiliation(s)
- Kirsten Koehler
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Megan Wilks
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Tim Green
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Ana M Rule
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Misti L Zamora
- Department of Public Health Sciences UConn School of Medicine, University of Connecticut Health Center, Farmington, CT, USA
| | - Colby Buehler
- Chemical and Environmental Engineering, Yale University, New Haven, CT, USA
| | - Abhirup Datta
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Drew R Gentner
- Chemical and Environmental Engineering, Yale University, New Haven, CT, USA
| | - Nirupama Putcha
- Department of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Nadia N Hansel
- Department of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology and Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Sarath Raju
- Department of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Meredith McCormack
- Department of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
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Feder KA, Patel EU, Buresh M, Kirk GD, Mehta SH, Genberg BL. Trends in self-reported non-fatal overdose and patterns of substance use before and during the COVID-19 pandemic in a prospective cohort of adults who have injected drugs - Baltimore, Maryland, 2014-2022. Drug Alcohol Depend 2023; 251:110954. [PMID: 37716287 PMCID: PMC10538370 DOI: 10.1016/j.drugalcdep.2023.110954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/25/2023] [Accepted: 08/26/2023] [Indexed: 09/18/2023]
Abstract
BACKGROUND Overdose deaths increased during the COVID-19 pandemic in the United States. Less is known about drug use behavior changes during the same time period. We examined differences in non-fatal overdose and drug use behaviors before and after the start of the COVID-19 pandemic in a community-recruited cohort of adults who have injected drugs. METHODS 721 participants attended 7401 visits between Jan 2014 and Mar 2022. Outcomes (non-fatal overdose, drug route of administration, type of drugs used) were assessed via self-report in the last six months. We compared pre-pandemic (Jan 2014-Mar 2020) to inter-pandemic (Dec 2020-Mar 2022) prevalence of each outcome using Cohcrane-Maentel-Haeszel odds ratios (CMH-OR). We then estimated probabilities for transitioning between specific behaviors from participants' last pre-pandemic visit to their first inter-pandemic visit. RESULTS Comparing pre-pandemic visits to inter-pandemic visits, the prevalence of non-fatal overdose did not change (CMH-OR 1.06, 95% CI 0.75-1.50); the prevalence of injection (CMH-OR 0.13, 95% CI 0.1-0.17) and non-injection (CMH-OR 0.51, 95% CI 0.42-0.61) drug use declined. More than a third (35.7%) of persons using both injection and non-injection drugs pre-pandemic transitioned to exclusive non-injection use during the pandemic. By contrast, few (4.0%) persons using non-injection drugs exclusively pre-pandemic transitioned to injecting during the pandemic. CONCLUSION Among adults who have injected drugs, the start of the COVID-19 pandemic was associated with a reduced drug use prevalence and transitions from injection to non-injection use. Average overdose prevalence was unchanged, but these behavior changes may have helped mitigate overdose harm.
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Affiliation(s)
- Kenneth A Feder
- Department of Mental Health, Bloomberg School of Public Health, USA.
| | - Eshan U Patel
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, USA
| | - Megan Buresh
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, USA; Department of Medicine, Johns Hopkins University School of Medicine, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, USA; Department of Medicine, Johns Hopkins University School of Medicine, USA
| | - Shruti H Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, USA
| | - Becky L Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, USA
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Kim J, Newcomb CW, Carbonari DM, Torgersen J, Althoff KN, Kitahata MM, Klein MB, Moore RD, Reddy KR, Silverberg MJ, Mayor AM, Horberg MA, Cachay ER, Lim JK, Gill MJ, Chew K, Sterling TR, Hull M, Seaberg EC, Kirk GD, Coburn SB, Lang R, McGinnis KA, Gebo KA, Napravnik S, Kim HN, Lo Re V. Hepatitis B care cascade among people with HIV/HBV coinfection in the North American AIDS Cohort Collaboration on Research and Design, 2012-2016. PLoS One 2023; 18:e0290889. [PMID: 37656704 PMCID: PMC10473492 DOI: 10.1371/journal.pone.0290889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/15/2023] [Indexed: 09/03/2023] Open
Abstract
A care cascade is a critical tool for evaluating delivery of care for chronic infections across sequential stages, starting with diagnosis and ending with viral suppression. However, there have been few data describing the hepatitis B virus (HBV) care cascade among people living with HIV infection who have HBV coinfection. We conducted a cross-sectional study among people living with HIV and HBV coinfection receiving care between January 1, 2012 and December 31, 2016 within 13 United States and Canadian clinical cohorts contributing data to the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). We evaluated each of the steps in this cascade, including: 1) laboratory-confirmed HBV infection, 2) tenofovir-based or entecavir-based HBV therapy prescribed, 3) HBV DNA measured during treatment, and 4) viral suppression achieved via undetectable HBV DNA. Among 3,953 persons with laboratory-confirmed HBV (median age, 50 years; 6.5% female; 43.8% were Black; 7.1% were Hispanic), 3,592 (90.9%; 95% confidence interval, 90.0-91.8%) were prescribed tenofovir-based antiretroviral therapy or entecavir along with their antiretroviral therapy regimen, 2,281 (57.7%; 95% confidence interval, 56.2-59.2%) had HBV DNA measured while on therapy, and 1,624 (41.1%; 95% confidence interval, 39.5-42.6) achieved an undetectable HBV DNA during HBV treatment. Our study identified significant gaps in measurement of HBV DNA and suppression of HBV viremia among people living with HIV and HBV coinfection in the United States and Canada. Periodic evaluation of the HBV care cascade among persons with HIV/HBV will be critical to monitoring success in completion of each step.
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Affiliation(s)
- Jessica Kim
- Department of Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Craig W. Newcomb
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Dena M. Carbonari
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Jessie Torgersen
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Keri N. Althoff
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Mari M. Kitahata
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Marina B. Klein
- Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Richard D. Moore
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - K. Rajender Reddy
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Michael J. Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - Angel M. Mayor
- Retrovirus Research Center, Universidad Central del Caribe, Bayamon, Puerto Rico
| | - Michael A. Horberg
- Mid-Atlantic Permanente Research Institute, Mid-Atlantic Permanente Medical Group, Rockville, Maryland, United States of America
| | - Edward R. Cachay
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Joseph K. Lim
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America
- VA Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - M. John Gill
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Kara Chew
- Department of Medicine, University of California Los Angeles, Los Angeles, California, United States of America
| | - Timothy R. Sterling
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Mark Hull
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Eric C. Seaberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Gregory D. Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Sally B. Coburn
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Raynell Lang
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Kathleen A. McGinnis
- VA Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Kelly A. Gebo
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Sonia Napravnik
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - H. Nina Kim
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Vincent Lo Re
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
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Patel EU, Mehta SH, Genberg BL, Baker OR, Schluth CG, Astemborski J, Fernandez RE, Quinn TC, Kirk GD, Laeyendecker O. Prevalence and correlates of SARS-CoV-2 seropositivity among people who inject drugs in Baltimore, Maryland. Drug Alcohol Depend Rep 2023; 8:100184. [PMID: 37637232 PMCID: PMC10450408 DOI: 10.1016/j.dadr.2023.100184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/29/2023]
Abstract
Background SARS-CoV-2 serosurveys can help characterize disparities in SARS-CoV-2 infection and identify gaps in population immunity. Data on SARS-CoV-2 seroprevalence among people who inject drugs (PWID) are limited. Methods We conducted a cross-sectional study between December 2020 and July 2022 among 561 participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study-a community-based cohort of current and former PWID in Baltimore, Maryland. Serum samples were assayed for infection-induced anti-nucleocapsid (anti-N) and infection and/or vaccination-induced anti-spike-1 (anti-S) SARS-CoV-2 IgG. We estimated adjusted prevalence ratios (aPR) via modified Poisson regression models. Results The median age was 59 years, 35% were female, 84% were non-Hispanic Black, and 16% reported recent injection drug use. Anti-N antibody prevalence was 26% and anti-S antibody prevalence was 63%. Anti-N and anti-S antibody prevalence increased over time. Being employed (aPR=1.53 [95%CI=1.11-2.11]) was associated with higher anti-N prevalence, while a cancer history (aPR=0.40 [95%CI=0.17-0.90]) was associated with lower anti-N prevalence. HIV infection was associated with higher anti-S prevalence (aPR=1.13 [95%CI=1.02-1.27]), while younger age and experiencing homelessness (aPR=0.78 [95%CI=0.60-0.99]) were factors associated with lower anti-S prevalence. Substance use-related behaviors were not significantly associated with anti-N or anti-S prevalence. Conclusions SARS-CoV-2 seroprevalence increased over time among current and former PWID, suggesting cumulative increases in the incidence of SARS-CoV-2 infection and vaccination; however, there were disparities in infection-induced seroprevalence and infection and/or vaccine-induced seroprevalence within this study sample. Dedicated prevention and vaccination programs are needed to prevent disparities in infection and gaps in population immunity among PWID during emerging epidemics.
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Affiliation(s)
- Eshan U. Patel
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Shruti H. Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Becky L. Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Owen R. Baker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Catherine G. Schluth
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Reinaldo E. Fernandez
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas C. Quinn
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Baltimore, MD, USA
| | - Gregory D. Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Oliver Laeyendecker
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Baltimore, MD, USA
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20
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McLaren PJ, Porreca I, Iaconis G, Mok HP, Mukhopadhyay S, Karakoc E, Cristinelli S, Pomilla C, Bartha I, Thorball CW, Tough RH, Angelino P, Kiar CS, Carstensen T, Fatumo S, Porter T, Jarvis I, Skarnes WC, Bassett A, DeGorter MK, Sathya Moorthy MP, Tuff JF, Kim EY, Walter M, Simons LM, Bashirova A, Buchbinder S, Carrington M, Cossarizza A, De Luca A, Goedert JJ, Goldstein DB, Haas DW, Herbeck JT, Johnson EO, Kaleebu P, Kilembe W, Kirk GD, Kootstra NA, Kral AH, Lambotte O, Luo M, Mallal S, Martinez-Picado J, Meyer L, Miro JM, Moodley P, Motala AA, Mullins JI, Nam K, Obel N, Pirie F, Plummer FA, Poli G, Price MA, Rauch A, Theodorou I, Trkola A, Walker BD, Winkler CA, Zagury JF, Montgomery SB, Ciuffi A, Hultquist JF, Wolinsky SM, Dougan G, Lever AML, Gurdasani D, Groom H, Sandhu MS, Fellay J. Author Correction: Africa-specific human genetic variation near CHD1L associates with HIV-1 load. Nature 2023; 621:E42. [PMID: 37670157 DOI: 10.1038/s41586-023-06591-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Affiliation(s)
- Paul J McLaren
- Sexually Transmitted and Blood-Borne Infections Division at JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada.
| | | | - Gennaro Iaconis
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Hoi Ping Mok
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Subhankar Mukhopadhyay
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK
| | | | - Sara Cristinelli
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | | | - István Bartha
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Christian W Thorball
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Precision Medicine Unit, Biomedical Data Science Center, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Riley H Tough
- Sexually Transmitted and Blood-Borne Infections Division at JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Paolo Angelino
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Cher S Kiar
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK
| | - Tommy Carstensen
- Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Segun Fatumo
- The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Isobel Jarvis
- Department of Medicine, University of Cambridge, Cambridge, UK
| | | | | | - Marianne K DeGorter
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mohana Prasad Sathya Moorthy
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeffrey F Tuff
- Sexually Transmitted and Blood-Borne Infections Division at JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Eun-Young Kim
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Miriam Walter
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lacy M Simons
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Arman Bashirova
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Susan Buchbinder
- Bridge HIV, San Francisco Department of Public Health, San Francisco, CA, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, USA
| | - Andrea Cossarizza
- Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Andrea De Luca
- University Division of Infectious Diseases, Siena University Hospital, Siena, Italy
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - James J Goedert
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - David W Haas
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Joshua T Herbeck
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Eric O Johnson
- GenOmics and Translational Research Center and Fellow Program, RTI International, Research Triangle Park, NC, USA
| | - Pontiano Kaleebu
- Medical Research Council/Uganda Virus Research Institute & London School of Hygiene and Tropical Medicine, Uganda Research Unit, Entebbe, Uganda
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Neeltje A Kootstra
- Department of Experimental Immunology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Alex H Kral
- Community Health Research Division, RTI International, Berkeley, CA, USA
| | - Olivier Lambotte
- Université Paris Saclay, Inserm UMR1184, CEA, Le Kremlin-Bicêtre, France
- APHP, Department of Clinical Immunology, Bicêtre Hospital, Le Kremlin-Bicêtre, France
| | - Ma Luo
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada
- Vaccine and Therapeutics Laboratory, Medical and Scientific Affairs, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Simon Mallal
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Institute for Immunology & Infectious Diseases, Murdoch University, Perth, Western Australia, Australia
| | - Javier Martinez-Picado
- University of Vic-Central University of Catalonia, Vic, Spain
- IrsiCaixa AIDS Research Institute, Badalona, Spain
- Catalan Institution for Research and Advanced Studies, Barcelona, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Laurence Meyer
- INSERM U1018, Université Paris-Saclay, Le Kremlin Bicêtre, France
- AP-HP, Hôpital de Bicêtre, Département d'Épidémiologie, Le Kremlin Bicêtre, France
| | - José M Miro
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
- Infectious Diseases Service, Hospital Clinic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Pravi Moodley
- National Health Laboratory Service, South Africa and University of KwaZulu-Natal, Durban, South Africa
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - James I Mullins
- Department of Microbiology, University of Washington, Seattle, WA, USA
| | - Kireem Nam
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Niels Obel
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Fraser Pirie
- Department of Diabetes and Endocrinology, School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Francis A Plummer
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Guido Poli
- Division of Immunology, Transplantation and Infectious Diseases, San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Matthew A Price
- International AIDS Vaccine Initiative, New York, NY, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Andri Rauch
- Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ioannis Theodorou
- Laboratoire d'Immunologie, Hôpital Robert Debré Paris, Paris, France
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Bruce D Walker
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Cheryl A Winkler
- Basic Research Laboratory, Molecular Genetic Epidemiology Section, Frederick National Laboratory for Cancer Research and Cancer Innovative Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Jean-François Zagury
- Laboratoire Génomique, Bioinformatique et Chimie Moléculaire, EA7528, Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
| | - Stephen B Montgomery
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Angela Ciuffi
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Judd F Hultquist
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Steven M Wolinsky
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Gordon Dougan
- Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Andrew M L Lever
- Department of Medicine, University of Cambridge, Cambridge, UK
- Department of Medicine, National University of Singapore, Singapore, Singapore
| | - Deepti Gurdasani
- Queen Mary University of London, London, UK
- Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Harriet Groom
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Manjinder S Sandhu
- Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
- Omnigen Biodata, Cambridge, UK.
| | - Jacques Fellay
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
- Precision Medicine Unit, Biomedical Data Science Center, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
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Gicquelais RE, Astemborski J, Werb D, Kirk GD, Mehta SH, Genberg BL. Context and correlates of providing assistance with someone's first injection in the AIDS linked to the IntraVenous Experience cohort, Baltimore, MD. Drug Alcohol Depend 2023; 250:110909. [PMID: 37517262 PMCID: PMC10529208 DOI: 10.1016/j.drugalcdep.2023.110909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 07/14/2023] [Accepted: 07/15/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND The social processes around initiating injection may be well-suited to intervention, yet there is substantial heterogeneity in the reported experiences of people who inject drugs (PWID) who assist with another individual's first drug injection. We aimed to describe the lifetime prevalence and context of providing initiation assistance among a cohort of PWID. METHODS Participants of the AIDS Linked to the IntraVenous Experience (ALIVE) cohort of PWID in Baltimore, Maryland (n=848) were surveyed during 2019-2020 about assisting with another person's first injection. Associations between factors related to injection risk and history of providing assistance were estimated using logistic regression models adjusted for sociodemographic and behavioral characteristics. RESULTS At baseline, participants were primarily male (66.1%), black (82.9%), aged a median of 42 years, and had been injecting a median of 18 years. Overall, 19% (n=157) of participants reported ever providing assistance for a median of 2 people (Interquartile Range: 1-4). Having hepatitis C infection (adjusted Odds Ratio [95% Confidence Interval]: 2.5 [1.4-4.6]), syringe sharing (2.2 [1.2-3.9]), and injecting ≥3 times per day (2.0 [1.2-3.4]) at study enrollment were associated with a history of assistance. Participants primarily assisted friends (58.0%), acquaintances (29.9%), and partners (21.7%). Common reasons for assisting were the other person's lack of injection knowledge (73.7%) or sharing drugs (44.9%). Additional reasons included to prevent injury. CONCLUSION PWID with a history of assisting with another person's first injection exhibited heightened vulnerability to infections and more frequent substance use. Expanding implementation of interventions with an emphasis on harm reduction is needed.
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Affiliation(s)
- Rachel E Gicquelais
- University of Wisconsin-Madison School of Nursing, 701 Highland AveMadisonWI53705, United States
| | - Jacqueline Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe StBaltimoreMD21205, United States
| | - Daniel Werb
- Centre on Drug Policy Evaluation, Li Ka Shing Knowledge Institute, St. Michael's HospitalTorontoOntario, Canada; Department of Medicine, University of California San DiegoSan DiegoCA92161, United States
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe StBaltimoreMD21205, United States; Johns Hopkins University School of Medicine, Division of Infectious DiseasesBaltimoreMD21205, United States
| | - Shruti H Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe StBaltimoreMD21205, United States
| | - Becky L Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe StBaltimoreMD21205, United States.
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Rudolph JE, Cepeda JA, Astemborski J, Kirk GD, Mehta SH, Genberg BL. Trajectories of drug treatment and illicit opioid use in the AIDS Linked to the IntraVenous Experience cohort, 2014-2019. Int J Drug Policy 2023; 118:104120. [PMID: 37429162 PMCID: PMC10528295 DOI: 10.1016/j.drugpo.2023.104120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 06/29/2023] [Accepted: 07/01/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND Medication for opioid use disorder (MOUD) is an effective intervention to combat opioid use disorder and overdose, yet there is limited understanding of engagement in treatment over time in the community, contextualized by ongoing substance use. We aimed to identify concurrent trajectories of methadone prescriptions, buprenorphine prescriptions, and illicit opioid use among older adults with a history of injection drug use. METHODS We used data on 887 participants from the AIDS Linked to the IntraVenous Experience cohort, who were engaged in the study in 2013 and attended ≥1 visit during follow-up (2014-2019). Outcomes were self-reported MOUD prescription and illicit opioid use in the last 6 months. To identify concurrent trajectories in all 3 outcomes, we used group-based multi-trajectory modeling. We examined participant characteristics, including sociodemographics, HIV status, and other substance use, overall and by cluster. RESULTS We identified 4 trajectory clusters: (1) no MOUD and no illicit opioid use (43%); (2) buprenorphine and some illicit opioid use (11%); (3) methadone and no illicit opioid use (28%); and (4) some methadone and illicit opioid use (18%). While prevalence of each outcome was stable across time, transitions on/off treatment or on/off illicit opioid use occurred, with the rate of transition varying by cluster. The rate of transition was highest in Cluster 3 (0.74/person-year) and lowest in Cluster 1 (0.18/person-year). We saw differences in participant characteristics by cluster, including that the buprenorphine cluster had the highest proportion of people with HIV and participants who identified as non-Hispanic Black. CONCLUSIONS Most participants had discontinued illicit opioid use and were also not accessing MOUD. Trajectories defined by engagement with buprenorphine or methadone had distinct sociodemographic and behavioral characteristics, indicating that tailored interventions to expand access to both types of treatment are likely needed to reduce harms associated with untreated opioid use disorder.
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Affiliation(s)
- Jacqueline E Rudolph
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
| | - Javier A Cepeda
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Shruti H Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Becky L Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
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23
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McLaren PJ, Porreca I, Iaconis G, Mok HP, Mukhopadhyay S, Karakoc E, Cristinelli S, Pomilla C, Bartha I, Thorball CW, Tough RH, Angelino P, Kiar CS, Carstensen T, Fatumo S, Porter T, Jarvis I, Skarnes WC, Bassett A, DeGorter MK, Sathya Moorthy MP, Tuff JF, Kim EY, Walter M, Simons LM, Bashirova A, Buchbinder S, Carrington M, Cossarizza A, De Luca A, Goedert JJ, Goldstein DB, Haas DW, Herbeck JT, Johnson EO, Kaleebu P, Kilembe W, Kirk GD, Kootstra NA, Kral AH, Lambotte O, Luo M, Mallal S, Martinez-Picado J, Meyer L, Miro JM, Moodley P, Motala AA, Mullins JI, Nam K, Obel N, Pirie F, Plummer FA, Poli G, Price MA, Rauch A, Theodorou I, Trkola A, Walker BD, Winkler CA, Zagury JF, Montgomery SB, Ciuffi A, Hultquist JF, Wolinsky SM, Dougan G, Lever AML, Gurdasani D, Groom H, Sandhu MS, Fellay J. Africa-specific human genetic variation near CHD1L associates with HIV-1 load. Nature 2023; 620:1025-1030. [PMID: 37532928 PMCID: PMC10848312 DOI: 10.1038/s41586-023-06370-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 06/26/2023] [Indexed: 08/04/2023]
Abstract
HIV-1 remains a global health crisis1, highlighting the need to identify new targets for therapies. Here, given the disproportionate HIV-1 burden and marked human genome diversity in Africa2, we assessed the genetic determinants of control of set-point viral load in 3,879 people of African ancestries living with HIV-1 participating in the international collaboration for the genomics of HIV3. We identify a previously undescribed association signal on chromosome 1 where the peak variant associates with an approximately 0.3 log10-transformed copies per ml lower set-point viral load per minor allele copy and is specific to populations of African descent. The top associated variant is intergenic and lies between a long intergenic non-coding RNA (LINC00624) and the coding gene CHD1L, which encodes a helicase that is involved in DNA repair4. Infection assays in iPS cell-derived macrophages and other immortalized cell lines showed increased HIV-1 replication in CHD1L-knockdown and CHD1L-knockout cells. We provide evidence from population genetic studies that Africa-specific genetic variation near CHD1L associates with HIV replication in vivo. Although experimental studies suggest that CHD1L is able to limit HIV infection in some cell types in vitro, further investigation is required to understand the mechanisms underlying our observations, including any potential indirect effects of CHD1L on HIV spread in vivo that our cell-based assays cannot recapitulate.
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Affiliation(s)
- Paul J McLaren
- Sexually Transmitted and Blood-Borne Infections Division at JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada.
| | | | - Gennaro Iaconis
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Hoi Ping Mok
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Subhankar Mukhopadhyay
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK
| | | | - Sara Cristinelli
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | | | - István Bartha
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Christian W Thorball
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Precision Medicine Unit, Biomedical Data Science Center, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Riley H Tough
- Sexually Transmitted and Blood-Borne Infections Division at JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Paolo Angelino
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Cher S Kiar
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK
| | - Tommy Carstensen
- Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Segun Fatumo
- The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Isobel Jarvis
- Department of Medicine, University of Cambridge, Cambridge, UK
| | | | | | - Marianne K DeGorter
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mohana Prasad Sathya Moorthy
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeffrey F Tuff
- Sexually Transmitted and Blood-Borne Infections Division at JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Eun-Young Kim
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Miriam Walter
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lacy M Simons
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Arman Bashirova
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Susan Buchbinder
- Bridge HIV, San Francisco Department of Public Health, San Francisco, CA, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, USA
| | - Andrea Cossarizza
- Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Andrea De Luca
- University Division of Infectious Diseases, Siena University Hospital, Siena, Italy
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - James J Goedert
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - David W Haas
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Joshua T Herbeck
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Eric O Johnson
- GenOmics and Translational Research Center and Fellow Program, RTI International, Research Triangle Park, NC, USA
| | - Pontiano Kaleebu
- Medical Research Council/Uganda Virus Research Institute & London School of Hygiene and Tropical Medicine, Uganda Research Unit, Entebbe, Uganda
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Neeltje A Kootstra
- Department of Experimental Immunology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Alex H Kral
- Community Health Research Division, RTI International, Berkeley, CA, USA
| | - Olivier Lambotte
- Université Paris Saclay, Inserm UMR1184, CEA, Le Kremlin-Bicêtre, France
- APHP, Department of Clinical Immunology, Bicêtre Hospital, Le Kremlin-Bicêtre, France
| | - Ma Luo
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada
- Vaccine and Therapeutics Laboratory, Medical and Scientific Affairs, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Simon Mallal
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Institute for Immunology & Infectious Diseases, Murdoch University, Perth, Western Australia, Australia
| | - Javier Martinez-Picado
- University of Vic-Central University of Catalonia, Vic, Spain
- IrsiCaixa AIDS Research Institute, Badalona, Spain
- Catalan Institution for Research and Advanced Studies, Barcelona, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Laurence Meyer
- INSERM U1018, Université Paris-Saclay, Le Kremlin Bicêtre, France
- AP-HP, Hôpital de Bicêtre, Département d'Épidémiologie, Le Kremlin Bicêtre, France
| | - José M Miro
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
- Infectious Diseases Service, Hospital Clinic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Pravi Moodley
- National Health Laboratory Service, South Africa and University of KwaZulu-Natal, Durban, South Africa
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - James I Mullins
- Department of Microbiology, University of Washington, Seattle, WA, USA
| | - Kireem Nam
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Niels Obel
- Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Fraser Pirie
- Department of Diabetes and Endocrinology, School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Francis A Plummer
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Guido Poli
- Division of Immunology, Transplantation and Infectious Diseases, San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Matthew A Price
- International AIDS Vaccine Initiative, New York, NY, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Andri Rauch
- Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ioannis Theodorou
- Laboratoire d'Immunologie, Hôpital Robert Debré Paris, Paris, France
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Bruce D Walker
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Cheryl A Winkler
- Basic Research Laboratory, Molecular Genetic Epidemiology Section, Frederick National Laboratory for Cancer Research and Cancer Innovative Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Jean-François Zagury
- Laboratoire Génomique, Bioinformatique et Chimie Moléculaire, EA7528, Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
| | - Stephen B Montgomery
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Angela Ciuffi
- Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Judd F Hultquist
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Steven M Wolinsky
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Gordon Dougan
- Wellcome Trust Sanger Institute, Hinxton, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Andrew M L Lever
- Department of Medicine, University of Cambridge, Cambridge, UK
- Department of Medicine, National University of Singapore, Singapore, Singapore
| | - Deepti Gurdasani
- Queen Mary University of London, London, UK
- Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Harriet Groom
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Manjinder S Sandhu
- Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
- Omnigen Biodata, Cambridge, UK.
| | - Jacques Fellay
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
- Precision Medicine Unit, Biomedical Data Science Center, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
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Nsibirwa SK, Aizire J, Mugerwa JN, Thomas DL, Ocama P, Kirk GD. The impact of HIV infection on clinical presentation and mortality among persons with hepatocellular carcinoma in Kampala, Uganda. BMC Infect Dis 2023; 23:216. [PMID: 37024807 PMCID: PMC10080890 DOI: 10.1186/s12879-023-08164-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 03/15/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND HIV infection is associated with more rapid progression of some comorbidities. This study assessed the impact of HIV-infection on the presentation and outcome of HCC. METHODS HCC patients attending the Mulago National Referral Hospital in Uganda were enrolled into a natural history study of HCC between March 2015 and February 2019. Standardized methods were used to collect clinical, ultrasound and laboratory data at enrolment. HCC cases were confirmed and enrolled based on a combination of clinical, ultrasound, tumor marker and pathology data. Follow-up contact was made at one, three, six, and twelve months post-enrolment to determine vital status. Symptoms and signs at diagnosis and subsequent survival were compared by HIV status. Kaplan Meier curves were used to assess HCC survival. RESULTS Of 441 persons with HCC, 383 (87.0%) died within 12 months following HCC diagnosis. The median (IQR) survival was 42 (20, 106) days. HIV infection was present in 79 (18%) cases. After adjusting for baseline demographic and clinical characteristics, HIV infection was associated with increased mortality but only among those with severe HIV-associated immunosuppression (CD4 count < 200 cells per cubic milliliter), aHR (95% C) = 2.12 (1.23-3.53), p = 0.004, and not among PLWH with ≥ 200 CD4 cells per cubic milliliter, aHR (95% C) = 1.15 (0.82-1.60), p = 0.417. CONCLUSION Among relatively young Ugandans, HCC is a devastating disease with rapid mortality that is especially rapid among people living with HIV(PLWH). HIV was associated with slightly higher mortality, notably among PLWH with lower CD4 cell counts. As a substantial majority of PLWH diagnosed with HCC were engaged in HIV care, further investigation should determine the effectiveness of incorporating screening and early identification of HCC among high-risk individuals into existing HIV care programs. Concurrent with growing access to curative localized treatment for HCC in sub-Saharan Africa, leveraging HIV care infrastructure affords opportunities for earlier HCC intervention.
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Affiliation(s)
- Sara K Nsibirwa
- HIV and HCC in Uganda (H²U) Consortium, Kampala, Uganda.
- Infectious Diseases Institute (IDI), Makerere University, Kampala, Uganda.
| | - Jim Aizire
- HIV and HCC in Uganda (H²U) Consortium, Kampala, Uganda
- Johns Hopkins University, Baltimore, MD, USA
| | | | - David L Thomas
- HIV and HCC in Uganda (H²U) Consortium, Kampala, Uganda
- Johns Hopkins University, Baltimore, MD, USA
| | - Ponsiano Ocama
- HIV and HCC in Uganda (H²U) Consortium, Kampala, Uganda
- Makerere University College of Health Sciences, Kampala, Uganda
| | - Gregory D Kirk
- HIV and HCC in Uganda (H²U) Consortium, Kampala, Uganda
- Johns Hopkins University, Baltimore, MD, USA
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25
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Foda ZH, Annapragada AV, Boyapati K, Bruhm DC, Vulpescu NA, Medina JE, Mathios D, Cristiano S, Niknafs N, Luu HT, Goggins MG, Anders RA, Sun J, Meta SH, Thomas DL, Kirk GD, Adleff V, Phallen J, Scharpf RB, Kim AK, Velculescu VE. Detecting Liver Cancer Using Cell-Free DNA Fragmentomes. Cancer Discov 2023; 13:616-631. [PMID: 36399356 PMCID: PMC9975663 DOI: 10.1158/2159-8290.cd-22-0659] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/08/2022] [Accepted: 11/17/2022] [Indexed: 11/21/2022]
Abstract
Liver cancer is a major cause of cancer mortality worldwide. Screening individuals at high risk, including those with cirrhosis and viral hepatitis, provides an avenue for improved survival, but current screening methods are inadequate. In this study, we used whole-genome cell-free DNA (cfDNA) fragmentome analyses to evaluate 724 individuals from the United States, the European Union, or Hong Kong with hepatocellular carcinoma (HCC) or who were at average or high-risk for HCC. Using a machine learning model that incorporated multifeature fragmentome data, the sensitivity for detecting cancer was 88% in an average-risk population at 98% specificity and 85% among high-risk individuals at 80% specificity. We validated these results in an independent population. cfDNA fragmentation changes reflected genomic and chromatin changes in liver cancer, including from transcription factor binding sites. These findings provide a biological basis for changes in cfDNA fragmentation in patients with liver cancer and provide an accessible approach for noninvasive cancer detection. SIGNIFICANCE There is a great need for accessible and sensitive screening approaches for HCC worldwide. We have developed an approach for examining genome-wide cfDNA fragmentation features to provide a high-performing and cost-effective approach for liver cancer detection. See related commentary Rolfo and Russo, p. 532. This article is highlighted in the In This Issue feature, p. 517.
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Affiliation(s)
- Zachariah H. Foda
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Akshaya V. Annapragada
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kavya Boyapati
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Daniel C. Bruhm
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Nicholas A. Vulpescu
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jamie E. Medina
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Dimitrios Mathios
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Stephen Cristiano
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Noushin Niknafs
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Harry T. Luu
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael G. Goggins
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Robert A. Anders
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jing Sun
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Shruti H. Meta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - David L. Thomas
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Vilmos Adleff
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jillian Phallen
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Robert B. Scharpf
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Amy K. Kim
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Victor E. Velculescu
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
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26
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Patel EU, Astemborski J, Feder KA, Rudolph JE, Winiker A, Sosnowski DW, Kirk GD, Mehta SH, Genberg BL. Temporal association of pre-pandemic perceived social support with psychological resilience and mental well-being during the COVID-19 pandemic among people with a history of injection drug use. Drug Alcohol Depend 2023; 244:109802. [PMID: 36774804 PMCID: PMC9908589 DOI: 10.1016/j.drugalcdep.2023.109802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND There are limited data on whether modifiable social factors foster psychological resilience and mental well-being among people who use drugs following Big Events. We examined the temporal association of pre-pandemic perceived social support with psychological resilience and negative mental health symptoms during the COVID-19 pandemic among people with a history of injection drug use. METHODS Between June and September 2020, we conducted a telephone survey among 545 participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study: a community-based cohort of adults with a history of injection drug use. Leveraging data from study visits in 2018-early 2020, associations of pre-pandemic perceived social support with psychological resilience scores (range=1-5) and the probability of negative mental health symptoms during the pandemic were assessed using multivariable linear and modified Poisson regression models, respectively. RESULTS Participants' median age was 58 years, 38.2% were female, 83.3% identified as Black, and 30.3% were living with HIV. During the pandemic, 14.5% had low (<3) resilience scores, 36.1% experienced anxiety, and 35.8% reported increased loneliness. Compared to participants in the lowest tertile of pre-pandemic social support, participants in the highest tertile had higher mean resilience scores (β = 0.27 [95% CI = 0.12, 0.43]), a lower probability of anxiety (prevalence ratio [PR] = 0.71 [95% CI = 0.52, 0.96]), and a lower probability of increased loneliness (PR = 0.62 [95% CI = 0.45, 0.84]). CONCLUSIONS Pre-pandemic perceived social support was associated with greater psychological resilience and generally better mental well-being during the pandemic. Interventions that improve social support may foster psychological resilience and protect the mental well-being of people who use drugs, especially during periods of social disruption.
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Affiliation(s)
- Eshan U Patel
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Kenneth A Feder
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jacqueline E Rudolph
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Abigail Winiker
- Department of Health, Behavior, and Society, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - David W Sosnowski
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Shruti H Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Becky L Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
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Raju S, Gearhart AS, Drummond MB, Brown N, Ramamurthi HC, Kirk GD, Brown RH, McCormack MC. Human Immunodeficiency Virus-associated Chronic Obstructive Pulmonary Disease Is Characterized by Increased Small Airways Dysfunction on Computed Tomography Imaging. Ann Am Thorac Soc 2023; 20:335-338. [PMID: 36240211 PMCID: PMC9989864 DOI: 10.1513/annalsats.202203-203rl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Affiliation(s)
- Sarath Raju
- Johns Hopkins School of MedicineBaltimore, Maryland
| | | | | | - Nicole Brown
- Johns Hopkins University Applied Physics LaboratoryLaurel, Maryland
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Moallef S, Genberg BL, Hayashi K, Mehta SH, Kirk GD, Choi J, DeBeck K, Kipke M, Moore RD, Baum MK, Shoptaw S, Gorbach PM, Mustanski B, Javanbakht M, Siminski S, Milloy MJ. Day-to-day impact of COVID-19 and other factors associated with risk of nonfatal overdose among people who use unregulated drugs in five cities in the United States and Canada. Drug Alcohol Depend 2022; 241:109633. [PMID: 36171158 PMCID: PMC9476331 DOI: 10.1016/j.drugalcdep.2022.109633] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 09/12/2022] [Accepted: 09/12/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND The COVID-19 pandemic has compounded the longstanding drug poisoning crisis in Canada and the United States (US). Research is needed to understand the contributions of COVID-19 and subsequent infection control measures. We sought to estimate the prevalence of and factors associated with nonfatal overdose among participants in nine prospective cohorts of people who use unregulated drugs (PWUD) in Canada and the US. METHODS Data were derived from nine cohorts of PWUD in urban centres in Canada (Vancouver, BC) and the US (Baltimore, MD; Miami, FL; Chicago, IL; Los Angeles, CA) between May, 2020 and April, 2021. Multivariable logistic regression was used to identify factors associated with nonfatal overdose among participants who used unregulated drugs in the past month. RESULTS Among 885 participants (including 253 females), 41 (4.6 %) experienced a non-fatal overdose in the past month, and 453 (51.2 %) reported being highly impacted day-to-day by the pandemic. In multivariable analyses, people who experienced a non-fatal overdose were more likely to be female (Adjusted Odds Ratio [AOR]=2.18;95 % Confidence Interval [CI]=1.10-4.30); unstably housed/homeless (AOR=2.16;95 % CI=1.11-4.26); engaged in medications for opioid use disorder (AOR=2.45;95 % CI=1.19-4.97); and highly impacted day-to-day (AOR=2.42;95 % CI=1.22-5.10). CONCLUSION Our findings may reflect characteristics of participants who experienced a compounding of vulnerabilities during the pandemic and thus are vulnerable to overdose, including women, those unstably housed/homeless, and those who perceived their daily lives were highly impacted by the pandemic. Multi-level interventions are needed to remediate the vulnerabilities and address the main driver of poisoning crisis.
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Affiliation(s)
- Soroush Moallef
- British Columbia Centre on Substance Use, St. Paul's Hospital, Vancouver, BC, Canada
| | - Becky L Genberg
- Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kanna Hayashi
- British Columbia Centre on Substance Use, St. Paul's Hospital, Vancouver, BC, Canada; Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Shruti H Mehta
- Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - JinCheol Choi
- British Columbia Centre on Substance Use, St. Paul's Hospital, Vancouver, BC, Canada
| | - Kora DeBeck
- British Columbia Centre on Substance Use, St. Paul's Hospital, Vancouver, BC, Canada; School of Public Policy, Simon Fraser University, Burnaby, BC, Canada
| | - Michele Kipke
- Division of Research on Children, Youth, and Families, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Richard D Moore
- Division of Infectious Diseases, John Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marianna K Baum
- Robert Stempel College of Public Health, Florida International University, Miami, FL, USA
| | - Steven Shoptaw
- Department of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Pamina M Gorbach
- Department of Epidemiology, Fielding School of Public Heath, University of California Los Angeles, Los Angeles, CA, USA
| | - Brian Mustanski
- Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, IL, USA; Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
| | - Marjan Javanbakht
- Department of Epidemiology, Fielding School of Public Heath, University of California Los Angeles, Los Angeles, CA, USA
| | | | - M-J Milloy
- British Columbia Centre on Substance Use, St. Paul's Hospital, Vancouver, BC, Canada; Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
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Wekesa C, Ocama P, Parkes-Ratanshi R, Kirk GD. Burden and correlates of significant liver fibrosis among HIV-infected and uninfected adults in urban Uganda. Dialogues Health 2022; 1:100027. [PMID: 38515903 PMCID: PMC10953957 DOI: 10.1016/j.dialog.2022.100027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 07/01/2022] [Accepted: 07/01/2022] [Indexed: 03/23/2024]
Abstract
Introduction Following chronic inflammation and other disease specific factors, the risk of liver disease is believed to be higher among HIV-infected patients than in the general population despite shared risk factors. Understanding this differentiated burden and its drivers will inform policy and priority populations for intervention. Methods This was a cross sectional study among 516 adults attending care clinics in Kampala Uganda. Significant liver fibrosis (SLF) was defined as liver stiffness measurement ≥7.2 KPa identified by Fibroscan®. Data analyses were stratified by HIV status and we performed logistic regression performed to identify correlates. Results The prevalence of SLF was higher among HIV un-infected patients ((24% Vs 14%; p0.004). Overall HIV-uninfected patients were more likely to be overweight and or obese, with elevated serum cholesterol levels. Elevated measurement of fatty change in the liver (CAP scores >248 dB/m) was associated with SLF among HIV un-infected patients (OR 2.3 CI (1.0-5.2); p = 0.046). Low nadir CD4 counts (200cell/mm3) was predictive of SLF among HIV-infected patients (OR 3.3 CI (1.0-10.7); p = 0.05). Conclusion The prevalence of SLF was unexpectedly higher among HIV un-infected than HIV affected patients attending care clinics in urban Uganda. This observed burden is most likely driven by non-alcoholic fatty liver disease (NAFLD) resulting from metabolic syndrome.
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Affiliation(s)
- Clara Wekesa
- Infectious Diseases Institute, Makerere University Kampala, Uganda
| | - Ponsiano Ocama
- Makerere University, College of Health Sciences Kampala, Uganda
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Pytell JD, Shen NM, Keruly JC, Lesko CR, Lau B, Fojo AT, Baum MK, Gorbach PM, Javanbakht M, Kipke M, Kirk GD, Mustanski B, Shoptaw S, Siminski S, Moore RD, Chander G. The relationship of alcohol and other drug use during the COVID-19 pandemic among people with or at risk of HIV; A cross-sectional survey of people enrolled in Collaborating Consortium of Cohorts Producing NIDA Opportunities (C3PNO) cohorts. Drug Alcohol Depend 2022; 241:109382. [PMID: 35331580 PMCID: PMC8891146 DOI: 10.1016/j.drugalcdep.2022.109382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 02/15/2022] [Accepted: 02/26/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Alcohol use during the COVID-19 pandemic increased. People living with HIV or at risk for HIV acquisition often have psycho-social and structural barriers or co-occurring substance use making them vulnerable to the adverse effects of alcohol. We describe factors associated with alcohol use during the COVID-19 pandemic in this group. METHODS From May 2020 to February 2021, 1984 people enrolled in 6 existing cohort studies completed surveys about alcohol and other drug use during the COVID-19 pandemic. We describe the past-month prevalence of no alcohol use, low-risk use, and hazardous use. We use multinomial regression to describe factors associated with low-risk or hazardous alcohol use relative to no alcohol use. RESULTS Forty-five percent of participants reported no alcohol use, 33% low-risk use, and 22% hazardous use in the past 30 days. Cannabis and stimulant use were associated with a higher prevalence of low-risk use relative to no use. Tobacco, stimulant, cannabis use and recent overdose were associated with a higher prevalence of hazardous use relative to no use. Substance use treatment and living with HIV were associated with a lower prevalence of low-risk or hazardous use relative to no use. CONCLUSIONS Stimulant use was strongly associated with a higher prevalence of hazardous alcohol use while engagement in substance use treatment or living with HIV was associated with a lower prevalence. Ascertaining hazardous alcohol and other drug use, particularly stimulants, in clinical care could identify people at higher risk for adverse outcome and harm reduction counseling.
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Affiliation(s)
- Jarratt D Pytell
- Department of Medicine, Johns Hopkins School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA.
| | - Nicola M Shen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA
| | - Jeanne C Keruly
- Division of Infectious Diseases, Johns Hopkins School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Catherine R Lesko
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA
| | - Bryan Lau
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA
| | - Anthony T Fojo
- Department of Medicine, Johns Hopkins School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Marianna K Baum
- Department of Dietetics and Nutrition, Robert Stempel College of Public Health, Florida International University, 11200 SW 8 Street, AHC-5, 326, Miami, FL 33199, USA
| | - Pamina M Gorbach
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Box 951772, CHS 41-295, Los Angeles, CA 90095-1772, USA
| | - Marjan Javanbakht
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Box 951772, CHS 41-295, Los Angeles, CA 90095-1772, USA
| | - Michele Kipke
- University of Southern California, Children's Hospital Los Angeles, CHL 4650 W. Sunset Blvd., Los Angeles, CA 90027, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA
| | - Brian Mustanski
- Institute for Sexual and Gender Minority Health and Wellbeing and Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
| | - Steven Shoptaw
- Department of Family Medicine, University of California Los Angeles, 10880 Wilshire Boulevard, Los Angeles, CA 90024, USA
| | - Susanne Siminski
- Frontier Science Foundation, 4033 Maple Road, Amherst, NY 14226, USA
| | - Richard D Moore
- Department of Medicine, Johns Hopkins School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Geetanjali Chander
- Department of Medicine, Johns Hopkins School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287, USA
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Feder KA, Choi J, Schluth CG, Hayashi K, DeBeck K, Milloy MJ, Kirk GD, Mehta SH, Kipke M, Moore RD, Baum MK, Shoptaw S, Gorbach PM, Mustanski B, Javanbakht M, Siminski S, Genberg BL. Factors associated with self-reported avoidance of harm reduction services during the COVID-19 pandemic by people who use drugs in five cities in the United States and Canada. Drug Alcohol Depend 2022; 241:109544. [PMID: 35779987 PMCID: PMC9225925 DOI: 10.1016/j.drugalcdep.2022.109544] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 06/10/2022] [Accepted: 06/21/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND This study examines individual-level factors associated with avoiding two important health services for people who use drugs-medications for treatment of opioid use disorder and syringe service programs-during the first year of the COVID-19 pandemic. METHODS Data come from two subsamples of people who use drugs who were active participants in one of nine cohort studies in Vancouver, British Columbia; Baltimore, Maryland; Los Angeles, California; Chicago, Illinois; and Miami, Florida. Participants were interviewed remotely about COVID-19-associated disruptions to healthcare. We estimated the association of demographic, social, and health factors with each outcome using logistic regression among 702 participants (medication analysis) and 304 participants (syringe service analysis.) Analyses were repeated, stratified by city of residence, to examine geographic variation in risk. RESULTS There were large differences between cities in the prevalence of avoiding picking up medications for opioid use disorder, with almost no avoidance in Vancouver (3%) and nearly universal avoidance in Los Angeles, Chicago, and Miami (>90%). After accounting for between-city differences, no individual factors were associated with avoiding picking up medications. The only factor significantly associated with avoiding syringe service programs was higher levels of self-reported worry about COVID-19. CONCLUSION During the first year of the COVID-19 pandemic, geographic differences in service and policy contexts likely influenced avoidance of health and harm reduction services by people who use drugs in the United States and Canada more than individual differences between people.
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Affiliation(s)
- Kenneth A. Feder
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, United States,Correspondence to: Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N Broadway, Baltimore, MD 21211, USA
| | - JinCheol Choi
- British Columbia Centre on Substance Use, Vancouver, Canada
| | - Catherine G. Schluth
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States
| | - Kanna Hayashi
- British Columbia Centre on Substance Use, Vancouver, Canada
| | - Kora DeBeck
- British Columbia Centre on Substance Use, Vancouver, Canada
| | - Michael-John Milloy
- British Columbia Centre on Substance Use, Vancouver, Canada,Division of Social Medicine, Department of Medicine, University of British Columbia, Columbia
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States,Department of Medicine, Johns Hopkins School of Medicine, United States
| | - Shruti H. Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States
| | - Michele Kipke
- Keck School of Medicine, University of Southern California, United States
| | - Richard D. Moore
- Department of Medicine, Johns Hopkins School of Medicine, United States
| | - Marianna K. Baum
- Stemple School of Public Health, Florida International University, United States
| | - Steven Shoptaw
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, USA
| | - Pamina M. Gorbach
- Department of Epidemiology, UCLA Fielding School of Public Health, USA
| | - Brian Mustanski
- Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, United States
| | - Marjan Javanbakht
- Department of Epidemiology, Fielding School of Public Health, University of California, USA
| | | | - Becky L. Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States
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Feder KA, Sun J, Rudolph JE, Cepeda J, Astemborski J, Baker PA, Piggott DA, Kirk GD, Mehta SH, Genberg BL. Mortality by cause of death during year 1 of the COVID-19 pandemic in a cohort of older adults from Baltimore Maryland who have injected drugs. Int J Drug Policy 2022; 109:103842. [PMID: 36067723 PMCID: PMC9395292 DOI: 10.1016/j.drugpo.2022.103842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/18/2022] [Accepted: 08/21/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND In 2020, the first year of the COVID-19 pandemic, overdose deaths increased. However, no studies have characterized changes in mortality during the pandemic in a well-characterized cohort of people who use drugs in active follow-up at the time of pandemic onset. DESIGN We compared all-cause and cause-specific mortality in the first year of the pandemic (Mar-Dec 2020) to the five years preceding (Jan 2015-Feb 2020), among participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study: a community-recruited cohort of adults from Baltimore who have injected drugs. 3510 participants contributed 17,498 person-years [py] of follow-up time. Cause and dates of death were ascertained through the National Death Index. Comparisons were made for the full cohort and within subgroups with potentially differential levels of vulnerability. RESULTS All-cause mortality in 2020 was 39.6 per 1000 py, as compared to 37.2 per 1000 py pre- pandemic (Adjusted Incidence Rate Ratio = 1.09, 95%: confidence interval: 0.84-1.41). Increases were mostly attributable to chronic disease deaths; injury/poisoning deaths did not increase. No pre-post differences were statistically significant. CONCLUSION In this exploratory analysis of an older cohort of urban-dwelling adults who have injected drugs, mortality changes during the first year of the pandemic differed from national trends and varied across potentially vulnerable subgroups. More research is needed to understand determinants of increased risk of mortality during the pandemic among subgroups of people who use drugs.
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Affiliation(s)
- Kenneth A Feder
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, United States.
| | - Jing Sun
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States
| | - Jacqueline E Rudolph
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States
| | - Javier Cepeda
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States
| | - Jacquie Astemborski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States
| | - Pieter A Baker
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States
| | - Damani A Piggott
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States; Department of Medicine, Johns Hopkins University School of Medicine, United States
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States; Department of Medicine, Johns Hopkins University School of Medicine, United States
| | - Shruti H Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States
| | - Becky L Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, United States
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Wekesa C, Parkes-Ratanshi R, Kirk GD, Aizire J, Ocama P. Indirect serum biomarkers perform sub optimally in screening for significant liver fibrosis among HIV-infected and uninfected adults in Uganda. Afr Health Sci 2022; 22:416-425. [PMID: 36910378 PMCID: PMC9993309 DOI: 10.4314/ahs.v22i3.45] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction Indirect serum bio-markers present an acceptable noninvasive and cheap alternative for screening of significant liver fibrosis (SLF). Evaluation of their use in resource limited settings is important to determine their utility. Methods We conducted a cross sectional study among 520 HIV infected and HIV uninfected adults attending care clinics in Kampala Uganda. Presence of SLF was determined using Fibroscan® liver stiffness measurement of ≥7.2KPa. The diagostic value of indirect serum bio-markers for diagnosis of SLF was evaluated using the area under the receiver operating characteristics curve (AUROC) using Fibroscan® as gold standard. Results Overall AUROC values for Age Platelet Index (API), Aspartate to Alanine Ratio (AAR), AST-to-Platelet Ratio Index (APRI), Fibrosis Index based on 4 Factors (FIB-4) and Gamma glutamyl transferase to Platelet Ratio Index (GPR) were 0.52, 0.49, 0.55, 0.55 and 0.54 respectively. Among HIV-infected participants AUROC values were slightly improved at predicting presence of SLF but still under 70%. Conclusion Despite APRI and FIB-4 being more likely to identify participants with SLF, the overall diagnostic value of all serum bio-markers was poor with and without stratification by HIV status. We recommend the use of Fibroscan® technology as more accurate non-invasive diagnostic method for screening of SLF.
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Affiliation(s)
- Clara Wekesa
- Infectious Diseases Institute, Makerere University Kampala Uganda
| | | | | | | | - Ponsiano Ocama
- Makerere University, College of Health Sciences Kampala Uganda
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Cepeda JA, Thomas DL, Astemborski J, Rudolph JE, Gicquelais R, Kirk GD, Mehta SH. Impact of Hepatitis C Treatment Uptake on Cirrhosis and Mortality in Persons Who Inject Drugs : A Longitudinal, Community-Based Cohort Study. Ann Intern Med 2022; 175:1083-1091. [PMID: 35816712 PMCID: PMC9706936 DOI: 10.7326/m21-3846] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Hepatitis C virus (HCV) infection can be cured, and the United States has joined the World Health Organization in calling for HCV elimination by 2030. However, historically low uptake of HCV treatment among people who inject drugs (PWID) threatens HCV elimination and exacerbates social and racial health disparities. OBJECTIVE To assess whether all-oral HCV treatments were accessed by PWID and reduced liver disease burden and mortality. DESIGN Community-based, longitudinal cohort study of persons with a history of injection drug use. SETTING Baltimore, Maryland. PARTICIPANTS 1323 participants enrolled in the ALIVE (AIDS Linked to the IntraVenous Experience) study from 2006 to 2019 and chronically infected with HCV. MEASUREMENTS Liver stiffness measures (LSMs) by transient elastography, HCV RNA, and mortality from the National Death Index. RESULTS Among 1323 persons with evidence of chronic HCV infection at baseline, the median age was 49 years. Most were Black (82%), male (71%), and HIV-negative (66%). The proportion in whom HCV RNA was detected decreased from 100% (by definition) in 2006 to 48% in 2019. Across 10 350 valid LSMs, cirrhosis was detected in 15% of participants in 2006, 19% in 2015, and 8% in 2019. Undetectable HCV RNA was significantly associated with reduced odds of cirrhosis (adjusted odds ratio, 0.28 [95% CI, 0.17 to 0.45]) and reduced all-cause mortality risk (adjusted hazard ratio, 0.54 [CI, 0.38 to 0.77]). LIMITATION Noninvasive markers of liver fibrosis have not been validated in persons with sustained virologic response. CONCLUSION Many community-based PWID in Baltimore are receiving HCV treatment, which is associated with sharp decreases in liver disease and mortality. Additional efforts will be needed to reduce residual barriers to treatment and to eliminate HCV as a public health threat for PWID. PRIMARY FUNDING SOURCE National Institutes of Health.
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Affiliation(s)
- Javier A Cepeda
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.A.C., J.A., J.E.R., S.H.M.)
| | - David L Thomas
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland (D.L.T., G.D.K.)
| | - Jacqueline Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.A.C., J.A., J.E.R., S.H.M.)
| | - Jacqueline E Rudolph
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.A.C., J.A., J.E.R., S.H.M.)
| | - Rachel Gicquelais
- School of Nursing, University of Wisconsin, Madison, Wisconsin (R.G.)
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland (D.L.T., G.D.K.)
| | - Shruti H Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.A.C., J.A., J.E.R., S.H.M.)
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Cepeda JA, Feder KA, Astemborski J, Schluth C, Kirk GD, Mehta SH, Genberg BL. COVID-19 Vaccine Hesitancy and Vaccination Status in a Community-Based Cohort of People Who Inject Drugs in Baltimore, Maryland, March–June 2021. Public Health Rep 2022; 137:1031-1040. [PMID: 35848111 PMCID: PMC9357826 DOI: 10.1177/00333549221110299] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Objective: People who inject drugs are a population who are often unengaged with health care services. The objective of this study was to characterize COVID-19 vaccine hesitancy and uptake in a community-based sample of people who inject drugs in Baltimore, Maryland. Methods: The ALIVE study (AIDS Linked to the IntraVenous Experience) in Baltimore is a community-based cohort study of people with a history of injection drug use. From March 2 through June 28, 2021, 346 ALIVE participants completed a survey on substance use, structural determinants of health, and COVID-19 vaccine hesitancy. The exposure of interest was COVID-19 vaccine hesitancy, and the primary outcome was vaccination status as of June 30, 2021. We extracted data on the dates of vaccination from electronic medical records linked to study participants. Results: The median age of the sample was 60 years; most participants were male (66%) and non-Hispanic Black (87%). Most (55%) trusted the COVID-19 vaccine, and 68% had received ≥1 dose. After age standardization, survey participants were more likely than the Maryland general population to be unvaccinated (prevalence ratio = 1.20; 95% CI, 0.97-1.49; P = .10). Participants who somewhat trusted or did not trust the COVID-19 vaccine had 6-fold higher odds of being unvaccinated than participants who trusted the vaccine (odds ratio = 6.30; 95% CI, 3.74-10.60). Conclusion: Uptake of COVID-19 vaccine among people with a history of injection drug use was high. Attitudes and knowledge about vaccination were important predictors of vaccine uptake. Education and outreach efforts could be effective in reducing hesitancy and increasing vaccination in substance-using populations.
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Affiliation(s)
- Javier A. Cepeda
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kenneth A. Feder
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jacqueline Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Catherine Schluth
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Shruti H. Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Becky L. Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Sosnowski DW, Feder KA, Astemborski J, Genberg BL, Letourneau EJ, Musci RJ, Mojtabai R, McCall L, Hollander E, Loving L, Maher BS, Kirk GD, Mehta SH, Sun J. Adverse childhood experiences and comorbidity in a cohort of people who have injected drugs. BMC Public Health 2022; 22:986. [PMID: 35578217 PMCID: PMC9109307 DOI: 10.1186/s12889-022-13369-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 04/20/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Childhood adversity is associated with the onset of harmful adult substance use and related health problems, but most research on adversity has been conducted in general population samples. This study describes the prevalence of adverse childhood experiences in a cohort of people who have injected drugs and examines the association of these adverse experiences with medical comorbidities in adulthood. METHODS Six hundred fifty three adults were recruited from a 30-year cohort study on the health of people who have injected drugs living in and around Baltimore, Maryland (Median age = 47.5, Interquartile Range = 42.3-52.3 years; 67.3% male, 81.1% Black). Adverse childhood experiences were assessed retrospectively in 2018 via self-report interview. Lifetime medical comorbidities were ascertained via self-report of a provider diagnosis. Multinomial logistic regression with generalized estimating equations was used to examine the association between adversity and comorbid conditions, controlling for potential confounders. RESULTS Two hundred twelve participants (32.9%) reported 0-1 adverse childhood experiences, 215 (33.3%) reported 2-4, 145 (22.5%) reported 5-9, and 72 (11.1%) reported ≥10. Neighborhood violence was the most commonly reported adversity (48.5%). Individuals with ≥10 adverse childhood experiences had higher odds for reporting ≥3 comorbidities (Adjusted Odds Ratio = 2.9, 95% CI = 1.2 - 6.8, p = .01). CONCLUSIONS Among people who have injected drugs, adverse childhood experiences were common and associated with increased occurrence of self-reported medical comorbidities. Findings highlight the persistent importance of adversity for physical health even in a population where all members have used drugs and there is a high burden of comorbidity.
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Affiliation(s)
- David W Sosnowski
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Kenneth A Feder
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Becky L Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Elizabeth J Letourneau
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Rashelle J Musci
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Ramin Mojtabai
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lisa McCall
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Eileen Hollander
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Lynnet Loving
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Brion S Maher
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shruti H Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jing Sun
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
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Sun J, Mehta SH, Astemborski J, Piggott DA, Genberg BL, Woodson-Adu T, Benson EM, Thomas DL, Celentano DD, Vlahov D, Kirk GD. Mortality among people who inject drugs: a prospective cohort followed over three decades in Baltimore, MD, USA. Addiction 2022; 117:646-655. [PMID: 34338374 PMCID: PMC10572098 DOI: 10.1111/add.15659] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 07/21/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND AIMS During the past decades, people who inject drugs (PWID) have been impacted by the development of combination antiretroviral therapy (cART) to combat HIV/AIDS, the prescription opioid crisis and increased use of lethal synthetic opioids. We measured how these dynamics have impacted mortality among PWID in an urban US city. DESIGN Prospective cohort study using data from the AIDS Linked to the Intravenous Experience (ALIVE). SETTING Baltimore, MD, USA from 1988 to 2018. PARTICIPANTS A total of 5506 adult PWIDs (median age at baseline 37 years). MEASUREMENTS Mortality was identified by linkage to National Death Index-Plus (NDI-Plus) and categorized into HIV/infectious disease (HIV/ID) deaths, overdose and violence-related (drug-related) deaths and chronic disease deaths. Person-time at risk accrued from baseline and ended at the earliest of death or study period. All-cause and cause-specific mortality were calculated annually. The Fine & Gray method was used to estimate the subdistribution hazards of cause-specific deaths accounting for competing risks. FINDINGS Among 5506 participants with 84 226 person-years of follow-up, 43.9% were deceased by 2018. Among all deaths, 30.5% were HIV/ID deaths, 24.4% drug-related deaths and 33.3% chronic disease deaths. Age-standardized all-cause mortality increased from 23 to 45 per 1000 person-years from 1988 to 1996, declined from 1996 to 2014, then trended upward to 2018. HIV/ID deaths peaked in 1996 coincident with the availability of cART, then continuously declined. Chronic disease deaths increased continuously as the cohort aged. Drug-related deaths declined until 2011, but increased more than fourfold by 2018. HIV/HCV infection and active injecting were independently associated with HIV/ID and drug-related deaths. Female and black participants had a higher risk of dying from HIV/ID deaths and a lower risk of dying from drug-related deaths than male and non-black participants. CONCLUSIONS Deaths in Baltimore, MD, USA attributable to HIV/ID appear to have declined following the widespread use of combination antiretroviral therapy. Increases in the rates of drug-related deaths in Baltimore were observed prior to and continue in conjunction with national mortality rates associated with the opiate crisis.
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Affiliation(s)
- Jing Sun
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shruti H Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Damani A Piggott
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Becky L Genberg
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tanita Woodson-Adu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Eve-Marie Benson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David L Thomas
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David D Celentano
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David Vlahov
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
- Yale School of Nursing, Orange, CT, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Valencia A, Vergara C, Thio CL, Vince N, Douillard V, Grifoni A, Cox AL, Johnson EO, Kral AH, Goedert JJ, Mangia A, Piazzolla V, Mehta SH, Kirk GD, Kim AY, Lauer GM, Chung RT, Price JC, Khakoo SI, Alric L, Cramp ME, Donfield SM, Edlin BR, Busch MP, Alexander G, Rosen HR, Murphy EL, Wojcik GL, Carrington M, Gourraud PA, Sette A, Thomas DL, Duggal P. Trans-ancestral fine-mapping of MHC reveals key amino acids associated with spontaneous clearance of hepatitis C in HLA-DQβ1. Am J Hum Genet 2022; 109:299-310. [PMID: 35090584 DOI: 10.1016/j.ajhg.2022.01.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/14/2021] [Indexed: 12/27/2022] Open
Abstract
Spontaneous clearance of acute hepatitis C virus (HCV) infection is associated with single nucleotide polymorphisms (SNPs) on the MHC class II. We fine-mapped the MHC region in European (n = 1,600; 594 HCV clearance/1,006 HCV persistence) and African (n = 1,869; 340 HCV clearance/1,529 HCV persistence) ancestry individuals and evaluated HCV peptide binding affinity of classical alleles. In both populations, HLA-DQβ1Leu26 (p valueMeta = 1.24 × 10-14) located in pocket 4 was negatively associated with HCV spontaneous clearance and HLA-DQβ1Pro55 (p valueMeta = 8.23 × 10-11) located in the peptide binding region was positively associated, independently of HLA-DQβ1Leu26. These two amino acids are not in linkage disequilibrium (r2 < 0.1) and explain the SNPs and classical allele associations represented by rs2647011, rs9274711, HLA-DQB1∗03:01, and HLA-DRB1∗01:01. Additionally, HCV persistence classical alleles tagged by HLA-DQβ1Leu26 had fewer HCV binding epitopes and lower predicted binding affinities compared to clearance alleles (geometric mean of combined IC50 nM of persistence versus clearance; 2,321 nM versus 761.7 nM, p value = 1.35 × 10-38). In summary, MHC class II fine-mapping revealed key amino acids in HLA-DQβ1 explaining allelic and SNP associations with HCV outcomes. This mechanistic advance in understanding of natural recovery and immunogenetics of HCV might set the stage for much needed enhancement and design of vaccine to promote spontaneous clearance of HCV infection.
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Affiliation(s)
- Ana Valencia
- Johns Hopkins University, School of Medicine, Baltimore, MD 21205, USA; Universidad Pontificia Bolivariana, Medellín, Antioquia 050031, Colombia
| | - Candelaria Vergara
- Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Chloe L Thio
- Johns Hopkins University, School of Medicine, Baltimore, MD 21205, USA
| | - Nicolas Vince
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes 44000, France
| | - Venceslas Douillard
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes 44000, France
| | - Alba Grifoni
- Center for infectious Diseases and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Andrea L Cox
- Johns Hopkins University, School of Medicine, Baltimore, MD 21205, USA
| | - Eric O Johnson
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC 27709, USA
| | - Alex H Kral
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC 27709, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Alessandra Mangia
- Liver Unit, Medical Sciences Department, Fondazione "Casa Sollievo della Sofferenza" IRCCS, 71013 San Giovanni Rotondo, Italy
| | - Valeria Piazzolla
- Liver Unit, Medical Sciences Department, Fondazione "Casa Sollievo della Sofferenza" IRCCS, 71013 San Giovanni Rotondo, Italy
| | - Shruti H Mehta
- Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Gregory D Kirk
- Johns Hopkins University, School of Medicine, Baltimore, MD 21205, USA; Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Arthur Y Kim
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Georg M Lauer
- Liver Center and Gastrointestinal Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Raymond T Chung
- Liver Center and Gastrointestinal Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jennifer C Price
- Division of Gastroenterology, Department of Medicine, School of Medicine, University of California, San Francisco, CA 94143, USA
| | - Salim I Khakoo
- University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK
| | - Laurent Alric
- Internal Medicine-Department of Digestive Diseases, Rangueil Hospital, Toulouse University, 1, 31400 Toulouse, France
| | | | | | - Brian R Edlin
- SUNY Downstate College of Medicine, Brooklyn, NY 11203, USA
| | - Michael P Busch
- University of California San Francisco and Vitalant Research Institute, San Francisco, CA 94118, USA
| | - Graeme Alexander
- UCL Institute for Liver and Digestive Health, The Royal Free Hospital, Pond St, Hampstead, London NW3 2QG, UK
| | | | - Edward L Murphy
- University of California San Francisco and Vitalant Research Institute, San Francisco, CA 94118, USA
| | - Genevieve L Wojcik
- Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA; Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA
| | - Pierre-Antoine Gourraud
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes 44000, France
| | - Alessandro Sette
- Center for infectious Diseases and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA 92037, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
| | - David L Thomas
- Johns Hopkins University, School of Medicine, Baltimore, MD 21205, USA
| | - Priya Duggal
- Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD 21205, USA.
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Zang X, Mah C, Linh Quan AM, Min JE, Armstrong WS, Behrends CN, Del Rio C, Dombrowski JC, Feaster DJ, Kirk GD, Marshall BDL, Mehta SH, Metsch LR, Pandya A, Schackman BR, Shoptaw S, Strathdee SA, Krebs E, Nosyk B. Human Immunodeficiency Virus transmission by HIV Risk Group and Along the HIV Care Continuum: A Contrast of 6 US Cities. J Acquir Immune Defic Syndr 2022; 89:143-150. [PMID: 34723929 PMCID: PMC8752472 DOI: 10.1097/qai.0000000000002844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 10/04/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Understanding the sources of HIV transmission provides a basis for prioritizing HIV prevention resources in specific geographic regions and populations. This study estimated the number, proportion, and rate of HIV transmissions attributable to individuals along the HIV care continuum within different HIV transmission risk groups in 6 US cities. METHODS We used a dynamic, compartmental HIV transmission model that draws on racial behavior-specific or ethnic behavior-specific and risk behavior-specific linkage to HIV care and use of HIV prevention services from local, state, and national surveillance sources. We estimated the rate and number of HIV transmissions attributable to individuals in the stage of acute undiagnosed HIV, nonacute undiagnosed HIV, HIV diagnosed but antiretroviral therapy (ART) naïve, off ART, and on ART, stratified by HIV transmission group for the 2019 calendar year. RESULTS Individuals with undiagnosed nonacute HIV infection accounted for the highest proportion of total transmissions in every city, ranging from 36.8% (26.7%-44.9%) in New York City to 64.9% (47.0%-71.6%) in Baltimore. Individuals who had discontinued ART contributed to the second highest percentage of total infections in 4 of 6 cities. Individuals with acute HIV had the highest transmission rate per 100 person-years, ranging from 76.4 (58.9-135.9) in Miami to 160.2 (85.7-302.8) in Baltimore. CONCLUSION These findings underline the importance of both early diagnosis and improved ART retention for ending the HIV epidemic in the United States. Differences in the sources of transmission across cities indicate that localized priority setting to effectively address diverse microepidemics at different stages of epidemic control is necessary.
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Affiliation(s)
- Xiao Zang
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, United States
| | - Cassandra Mah
- Faculty of Health Sciences, Simon Fraser University; Burnaby, British Columbia, Canada
| | - Amanda My Linh Quan
- Faculty of Health Sciences, Simon Fraser University; Burnaby, British Columbia, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jeong Eun Min
- Center for Health Evaluation and Outcome Sciences; Vancouver, British Columbia, Canada
| | - Wendy S Armstrong
- Division of Infectious Diseases, Department of Medicine, Emory University, Atlanta, GA, USA
| | - Czarina N Behrends
- Department of Healthcare Policy and Research, Weill Cornell Medical College, New York City, New York, United States
| | - Carlos Del Rio
- Division of Infectious Diseases, Department of Medicine, Emory University, Atlanta, GA, USA
| | - Julia C Dombrowski
- Department of Medicine, Division of Allergy and Infectious Disease, University of Washington, Seattle, Washington, United States
| | - Daniel J Feaster
- Department of Public Health Sciences, Leonard M. Miller School of Medicine, University of Miami, Miami, Florida, United States
| | - Gregory D. Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States
| | - Brandon DL Marshall
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, United States
| | - Shruti H Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States
| | - Lisa R Metsch
- Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York City, New York, United States
| | - Ankur Pandya
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Bruce R Schackman
- Department of Healthcare Policy and Research, Weill Cornell Medical College, New York City, New York, United States
| | - Steven Shoptaw
- School of Medicine, University of California Los Angeles, Los Angeles, California, United States
| | - Steffanie A Strathdee
- School of Medicine, University of California San Diego, La Jolla, California, United States
| | - Emanuel Krebs
- Faculty of Health Sciences, Simon Fraser University; Burnaby, British Columbia, Canada
- Center for Health Evaluation and Outcome Sciences; Vancouver, British Columbia, Canada
| | - Bohdan Nosyk
- Faculty of Health Sciences, Simon Fraser University; Burnaby, British Columbia, Canada
- Center for Health Evaluation and Outcome Sciences; Vancouver, British Columbia, Canada
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Sun J, Zheng Q, Madhira V, Olex AL, Anzalone AJ, Vinson A, Singh JA, French E, Abraham AG, Mathew J, Safdar N, Agarwal G, Fitzgerald KC, Singh N, Topaloglu U, Chute CG, Mannon RB, Kirk GD, Patel RC. Association Between Immune Dysfunction and COVID-19 Breakthrough Infection After SARS-CoV-2 Vaccination in the US. JAMA Intern Med 2022; 182:153-162. [PMID: 34962505 PMCID: PMC8715386 DOI: 10.1001/jamainternmed.2021.7024] [Citation(s) in RCA: 150] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 10/09/2021] [Indexed: 12/30/2022]
Abstract
Importance Persons with immune dysfunction have a higher risk for severe COVID-19 outcomes. However, these patients were largely excluded from SARS-CoV-2 vaccine clinical trials, creating a large evidence gap. Objective To identify the incidence rate and incidence rate ratio (IRR) for COVID-19 breakthrough infection after SARS-CoV-2 vaccination among persons with or without immune dysfunction. Design, Setting, and Participants This retrospective cohort study analyzed data from the National COVID Cohort Collaborative (N3C), a partnership that developed a secure, centralized electronic medical record-based repository of COVID-19 clinical data from academic medical centers across the US. Persons who received at least 1 dose of a SARS-CoV-2 vaccine between December 10, 2020, and September 16, 2021, were included in the sample. Main Outcomes and Measures Vaccination, COVID-19 diagnosis, immune dysfunction diagnoses (ie, HIV infection, multiple sclerosis, rheumatoid arthritis, solid organ transplant, and bone marrow transplantation), other comorbid conditions, and demographic data were accessed through the N3C Data Enclave. Breakthrough infection was defined as a COVID-19 infection that was contracted on or after the 14th day of vaccination, and the risk after full or partial vaccination was assessed for patients with or without immune dysfunction using Poisson regression with robust SEs. Poisson regression models were controlled for a study period (before or after [pre- or post-Delta variant] June 20, 2021), full vaccination status, COVID-19 infection before vaccination, demographic characteristics, geographic location, and comorbidity burden. Results A total of 664 722 patients in the N3C sample were included. These patients had a median (IQR) age of 51 (34-66) years and were predominantly women (n = 378 307 [56.9%]). Overall, the incidence rate for COVID-19 breakthrough infection was 5.0 per 1000 person-months among fully vaccinated persons but was higher after the Delta variant became the dominant SARS-CoV-2 strain (incidence rate before vs after June 20, 2021, 2.2 [95% CI, 2.2-2.2] vs 7.3 [95% CI, 7.3-7.4] per 1000 person-months). Compared with partial vaccination, full vaccination was associated with a 28% reduced risk for breakthrough infection (adjusted IRR [AIRR], 0.72; 95% CI, 0.68-0.76). People with a breakthrough infection after full vaccination were more likely to be older and women. People with HIV infection (AIRR, 1.33; 95% CI, 1.18-1.49), rheumatoid arthritis (AIRR, 1.20; 95% CI, 1.09-1.32), and solid organ transplant (AIRR, 2.16; 95% CI, 1.96-2.38) had a higher rate of breakthrough infection. Conclusions and Relevance This cohort study found that full vaccination was associated with reduced risk of COVID-19 breakthrough infection, regardless of the immune status of patients. Despite full vaccination, persons with immune dysfunction had substantially higher risk for COVID-19 breakthrough infection than those without such a condition. For persons with immune dysfunction, continued use of nonpharmaceutical interventions (eg, mask wearing) and alternative vaccine strategies (eg, additional doses or immunogenicity testing) are recommended even after full vaccination.
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Affiliation(s)
- Jing Sun
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Qulu Zheng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Amy L. Olex
- Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond
| | - Alfred J. Anzalone
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha
| | - Amanda Vinson
- Division of Nephrology, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jasvinder A. Singh
- Department of Medicine at the School of Medicine, University of Alabama at Birmingham (UAB), Birmingham
- Department of Epidemiology at the UAB School of Public Health, Birmingham
| | - Evan French
- Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond
| | - Alison G. Abraham
- Department of Epidemiology, University of Colorado, Anschutz Medical Campus, Denver
| | - Jomol Mathew
- Department of Population Health Sciences, University of Wisconsin−Madison School of Medicine and Public Health, Madison
| | - Nasia Safdar
- Department of Medicine, University of Wisconsin−Madison, Madison
| | - Gaurav Agarwal
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham
| | - Kathryn C. Fitzgerald
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland
| | - Namrata Singh
- Division of Rheumatology, Department of Medicine, University of Washington, Seattle
| | - Umit Topaloglu
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Christopher G. Chute
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- School of Medicine, Public Health and Nursing, Johns Hopkins University, Baltimore, Maryland
| | - Roslyn B. Mannon
- Department of Medicine, University of Nebraska Medical Center, Omaha
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Rena C. Patel
- Division of Allergy and Infectious Diseases, Departments of Medicine and Global Health, University of Washington, Seattle
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Baum MK, Tamargo JA, Diaz-Martinez J, Delgado-Enciso I, Meade CS, Kirk GD, Mehta SH, Moore R, Kipke MD, Shoptaw SJ, Mustanski B, Mandler RN, Khalsa JH, Siminski S, Javanbakht M, Gorbach PM. HIV, psychological resilience, and substance misuse during the COVID-19 pandemic: A multi-cohort study. Drug Alcohol Depend 2022; 231:109230. [PMID: 34998257 PMCID: PMC8704725 DOI: 10.1016/j.drugalcdep.2021.109230] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/19/2021] [Accepted: 11/20/2021] [Indexed: 12/02/2022]
Abstract
OBJECTIVE The COVID-19 pandemic has dramatically impacted mental health, increasing rates of substance misuse. Resilience is a positive adaptation to stress that may act as a buffer against adverse mental health outcomes. Based on prior knowledge, we hypothesized that PLWH would display higher resilience than HIV-uninfected peers, and that high resilience would be associated with lower risk of substance misuse. METHODS This analysis of the Collaborating Consortium of Cohorts Producing NIDA Opportunities (C3PNO) included data from six USA cohorts that administered a COVID-19-related survey with a 3-month follow-up during May 2020 and March 2021. All data was self-reported. The Brief Resilience Scale and General Anxiety Disorder-7 were utilized. Primary analyses consisted of multivariate generalized linear mixed models with random intercepts using binary logistic regression. RESULTS A total of 1430 participants completed both surveys, of whom 670 (46.9%) were PLWH. PLWH had lower odds of anxiety (OR=0.67, 95% CI: 0.51-0.89) and higher odds of high resilience (OR=1.21, 95% CI: 1.02-1.44) than HIV-uninfected participants, adjusted for covariates. The presence of anxiety was associated with higher risk of misuse of all substances. High resilience was associated with lower risk of anxiety and misuse of substances, adjusted for covariates. CONCLUSIONS Psychological resilience was associated with lower risk of anxiety and substance misuse, potentially serving as a buffer against poor mental and behavioral health during the COVID-19 pandemic. Further research is needed to identify pathways of resilience in the context of substance misuse and comprehensive resilience-focused interventions.
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Affiliation(s)
- Marianna K. Baum
- Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA,Correspondence to: 11200 SW 8 Street, AHC-5, 326, Miami, FL 33199, USA
| | - Javier A. Tamargo
- Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - Janet Diaz-Martinez
- Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | | | | | - Gregory D. Kirk
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Shruti H. Mehta
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Richard Moore
- Johns Hopkins University School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Michele D. Kipke
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Steven J. Shoptaw
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Brian Mustanski
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | | | | | - Marjan Javanbakht
- Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Pamina M. Gorbach
- Fielding School of Public Health, University of California, Los Angeles, CA, USA
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Qian Y, Moore RD, Coburn SB, Davy-Mendez T, Akgün KM, McGinnis KA, Silverberg MJ, Colasanti JA, Cachay ER, Horberg MA, Rabkin CS, Jacobson JM, Gill MJ, Mayor AM, Kirk GD, Gebo KA, Nijhawan AE, Althoff KN. Association of the VACS Index With Hospitalization Among People With HIV in the NA-ACCORD. J Acquir Immune Defic Syndr 2022; 89:9-18. [PMID: 34878432 PMCID: PMC8665227 DOI: 10.1097/qai.0000000000002812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 09/08/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND People with HIV (PWH) have a higher hospitalization rate than the general population. The Veterans Aging Cohort Study (VACS) Index at study entry well predicts hospitalization in PWH, but it is unknown if the time-updated parameter improves hospitalization prediction. We assessed the association of parameterizations of the VACS Index 2.0 with the 5-year risk of hospitalization. SETTING PWH ≥30 years old with at least 12 months of antiretroviral therapy (ART) use and contributing hospitalization data from 2000 to 2016 in North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) were included. Three parameterizations of the VACS Index 2.0 were assessed and categorized by quartile: (1) "baseline" measurement at study entry; (2) time-updated measurements; and (3) cumulative scores calculated using the trapezoidal rule. METHODS Discrete-time proportional hazard models estimated the crude and adjusted associations (and 95% confidence intervals [CIs]) of the VACS Index parameterizations and all-cause hospitalizations. The Akaike information criterion (AIC) assessed the model fit with each of the VACS Index parameters. RESULTS Among 7289 patients, 1537 were hospitalized. Time-updated VACS Index fitted hospitalization best with a more distinct dose-response relationship [score <43: reference; score 43-55: aHR = 1.93 (95% CI: 1.66 to 2.23); score 55-68: aHR = 3.63 (95% CI: 3.12 to 4.23); score ≥68: aHR = 9.98 (95% CI: 8.52 to 11.69)] than study entry and cumulative VACS Index after adjusting for known risk factors. CONCLUSIONS Time-updated VACS Index 2.0 had the strongest association with hospitalization and best fit to the data. Health care providers should consider using it when assessing hospitalization risk among PWH.
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Affiliation(s)
- Yuhang Qian
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Richard D. Moore
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Sally B. Coburn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Thibaut Davy-Mendez
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, NC, USA
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Kathleen M. Akgün
- Department of Internal Medicine and General Internal Medicine, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | | | | | | | - Edward R. Cachay
- Division of Infectious Diseases and Global Public Health, University of California at San Diego, San Diego, CA, USA
| | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
| | - Charles S. Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Jeffrey M. Jacobson
- Division of Infectious Diseases, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - M John Gill
- Department of Medicine, University of Calgary, S Alberta HIV Clinic, 3330 Hospital Drive NW, Calgary, AB, T2N4N1, Canada
| | - Angel M. Mayor
- Department of Medicine, Universidad Central del Caribe at Bayamón, Puerto Rico
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kelly A. Gebo
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ank E. Nijhawan
- Division of Infectious Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Raju S, Astemborski J, Drummond MB, Ramamurthi HC, Sun J, Brown RH, Kirk GD, McCormack MC. Brief Report: HIV Is Associated With Impaired Pulmonary Diffusing Capacity Independent of Emphysema. J Acquir Immune Defic Syndr 2022; 89:64-68. [PMID: 34560768 PMCID: PMC8647697 DOI: 10.1097/qai.0000000000002818] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 08/31/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND HIV is associated with accelerated decline in lung function and increased risk for chronic obstructive pulmonary disease (COPD). Recently, there has been growing attention toward the impairment in the diffusing capacity of the lungs for carbon monoxide (DLCO), a marker of pulmonary gas exchange, observed among persons living with HIV. Although increased emphysema can contribute to the DLCO impairment observed, other factors may drive this association. METHODS Using cross-sectional data from the Study of HIV in the Etiology of Lung Disease, we studied the association between HIV and DLCO independent of emphysema. We also analyzed the joint influence of HIV and COPD on DLCO impairment. An analysis was conducted among 339 participants (229 with HIV) with lung function and chest CT imaging data. Multivariable regression models were generated with percent predicted DLCO and odds of DLCO impairment as outcomes. RESULTS After adjusting for confounders, including emphysema severity, HIV was associated with lower DLCO (β -4.02%; P = 0.020) and higher odds of DLCO impairment (odds ratio 1.93; P = 0.017). Even among those without COPD, HIV was independently associated with lower DLCO (β -3.89%; P = 0.049). Compared with HIV-uninfected participants without COPD, those with both HIV and COPD experienced the greatest impairment in DLCO (β -14.81; P < 0.001). CONCLUSIONS HIV is associated with impaired pulmonary gas exchange independent of emphysema severity. Our data also suggest a potentially additive influence between HIV and COPD on DLCO impairment. Further studies should investigate the other factors, including pulmonary vascular disease, which may contribute to DLCO impairment among persons living with HIV.
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Affiliation(s)
- Sarath Raju
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; and
| | - Michael Bradley Drummond
- Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC
| | - Hema C. Ramamurthi
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; and
| | - Jing Sun
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; and
| | - Robert H. Brown
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; and
| | - Gregory D. Kirk
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; and
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44
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Genberg BL, Gicquelais RE, Astemborski J, Knight J, Buresh M, Sun J, German D, Thomas DL, Kirk GD, Mehta SH. Trends in fatal and nonfatal overdose by race among people who inject drugs in Baltimore, Maryland from 1998 to 2019. Drug Alcohol Depend 2021; 229:109152. [PMID: 34749056 PMCID: PMC8665116 DOI: 10.1016/j.drugalcdep.2021.109152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/18/2021] [Accepted: 10/18/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVE The objective of this study was to examine trends in fatal and nonfatal overdose in a community-based sample of current and former people who inject drugs (PWID). METHODS Data from 4826 current and former PWID from the AIDS Linked to the IntraVenous Experience (ALIVE) observational cohort study in Baltimore, Maryland, were used to characterize fatal and nonfatal overdose rates from 1998 to 2019. Poisson regression was used to examine factors associated with nonfatal overdose and differences by race among 1052 PWID between 2014 and 2019. RESULTS Fatal overdose rates reached a high of 13 per 1000 person-years in 2018. Among 1052 current and former PWID, of whom 75% were Black and one-third were female, the nonfatal overdose rate of 529 per 1000 person-years in 2019 was 8 times higher than 2014 (incidence rate ratio [IRR]=7.76, 95% CI: 3.35, 18.0). The annual adjusted increase in nonfatal overdose rate was 53% among Black PWID (IRR=1.53, 95% CI: 1.34, 1.75), compared to 14% among White PWID (IRR=1.14, 95% CI: 0.88, 1.46). Urban residence, opioid use, depressive symptoms, and hepatitis C infection were positively associated with nonfatal overdose among Black PWID. Recent injection drug use and tranquilizer use was associated with increased overdose among Black and White PWID. CONCLUSIONS Rates of fatal and nonfatal overdose were high and increased from 2014 to 2019 among current and former PWID, with the most dramatic increases in nonfatal overdose observed among Black PWID. These findings highlight the urgent need for additional resources to reduce the differential harms associated with opioids by race.
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Affiliation(s)
- Becky L. Genberg
- Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street, Baltimore, MD 21205 USA
| | - Rachel E. Gicquelais
- University of Wisconsin-Madison School of Nursing, 701 Highland Ave, Madison, WI, 53705 USA
| | - Jacquie Astemborski
- Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street, Baltimore, MD 21205 USA
| | - Jennifer Knight
- Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street, Baltimore, MD 21205 USA
| | - Megan Buresh
- Johns Hopkins School of Medicine, Division of Addiction Medicine, 5200 Eastern Avenue, Mason Lord Building, East Tower, 2nd floor, Baltimore, MD 21224 USA
| | - Jing Sun
- Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street, Baltimore, MD 21205 USA
| | - Danielle German
- Johns Hopkins Bloomberg School of Public Health, Department of Health, Behavior and Society, 615 N. Wolfe Street, Baltimore, MD 21205 USA
| | - David L. Thomas
- Johns Hopkins University School of Medicine, Division of Infectious Diseases, Baltimore, MD 21205 USA
| | - Gregory D. Kirk
- Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street, Baltimore, MD 21205 USA, Johns Hopkins University School of Medicine, Division of Infectious Diseases, Baltimore, MD 21205 USA
| | - Shruti H. Mehta
- Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street, Baltimore, MD 21205 USA
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Yang X, Sun J, Patel RC, Zhang J, Guo S, Zheng Q, Olex AL, Olatosi B, Weissman SB, Islam JY, Chute CG, Haendel M, Kirk GD, Li X. Associations between HIV infection and clinical spectrum of COVID-19: a population level analysis based on US National COVID Cohort Collaborative (N3C) data. Lancet HIV 2021; 8:e690-e700. [PMID: 34655550 PMCID: PMC8514200 DOI: 10.1016/s2352-3018(21)00239-3] [Citation(s) in RCA: 91] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/25/2021] [Accepted: 08/26/2021] [Indexed: 10/31/2022]
Abstract
BACKGROUND Evidence of whether people living with HIV are at elevated risk of adverse COVID-19 outcomes is inconclusive. We aimed to investigate this association using the population-based National COVID Cohort Collaborative (N3C) data in the USA. METHODS We included all adult (aged ≥18 years) COVID-19 cases with any health-care encounter from 54 clinical sites in the USA, with data being deposited into the N3C. The outcomes were COVID-19 disease severity, hospitalisation, and mortality. Encounters in the same health-care system beginning on or after January 1, 2018, were also included to provide information about pre-existing health conditions (eg, comorbidities). Logistic regression models were employed to estimate the association of HIV infection and HIV markers (CD4 cell count, viral load) with hospitalisation, mortality, and clinical severity of COVID-19 (multinomial). The models were initially adjusted for demographic characteristics, then subsequently adjusted for smoking, obesity, and a broad range of comorbidities. Interaction terms were added to assess moderation effects by demographic characteristics. FINDINGS In the harmonised N3C data release set from Jan 1, 2020, to May 8, 2021, there were 1 436 622 adult COVID-19 cases, of these, 13 170 individuals had HIV infection. A total of 26 130 COVID-19 related deaths occurred, with 445 among people with HIV. After adjusting for all the covariates, people with HIV had higher odds of COVID-19 death (adjusted odds ratio 1·29, 95% CI 1·16-1·44) and hospitalisation (1·20, 1·15-1·26), but lower odds of mild or moderate COVID-19 (0·61, 0·59-0·64) than people without HIV. Interaction terms revealed that the elevated odds were higher among older age groups, male, Black, African American, Hispanic, or Latinx adults. A lower CD4 cell count (<200 cells per μL) was associated with all the adverse COVID-19 outcomes, while viral suppression was only associated with reduced hospitalisation. INTERPRETATION Given the COVID-19 pandemic's exacerbating effects on health inequities, public health and clinical communities must strengthen services and support to prevent aggravated COVID-19 outcomes among people with HIV, particularly for those with pronounced immunodeficiency. FUNDING National Center for Advancing Translational Sciences, National Institute of Allergy and Infectious Diseases, National Institutes of Health, USA.
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Affiliation(s)
- Xueying Yang
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Big Data Health Science Center, University of South Carolina, Columbia, SC, USA.
| | - Jing Sun
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rena C Patel
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA
| | - Jiajia Zhang
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Big Data Health Science Center, University of South Carolina, Columbia, SC, USA
| | - Siyuan Guo
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Big Data Health Science Center, University of South Carolina, Columbia, SC, USA
| | - Qulu Zheng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Amy L Olex
- Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, USA
| | - Bankole Olatosi
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Big Data Health Science Center, University of South Carolina, Columbia, SC, USA
| | - Sharon B Weissman
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Internal Medicine, School of Medicine, University of South Carolina, Columbia, SC, USA; Big Data Health Science Center, University of South Carolina, Columbia, SC, USA
| | - Jessica Y Islam
- Center for Immunization and Infection in Cancer, Cancer Epidemiology Program, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Christopher G Chute
- Schools of Medicine, Public Health, and Nursing, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Melissa Haendel
- Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiaoming Li
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Big Data Health Science Center, University of South Carolina, Columbia, SC, USA
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Weld ED, Astemborski J, Kirk GD, Sulkowski MS, Stephanie K, Rothman R, Solomon SS, Matthews GV, Hsieh YH, Verma M, Traverso G, Swindells S, Owen A, Feld J, Flexner C, Mehta SH, Thomas DL. Preferences of Persons with or at Risk for Hepatitis C for Long-Acting Treatments. Clin Infect Dis 2021; 75:3-10. [PMID: 34699587 DOI: 10.1093/cid/ciab913] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Whereas safe, curative treatments for hepatitis C virus (HCV) have been available since 2015, there are still 58 million infected persons worldwide, and global elimination may require new paradigms. We sought to understand the acceptability of long-acting HCV treatment approaches. METHODS A cross-sectional, 43-question survey was administered to 1457 individuals with HCV or at risk of HCV at 28 sites in 9 countries to assess comparative interest in a variety of long-acting strategies in comparison to oral pills. RESULTS Among HCV-positive participants, 37.7% most preferred an injection, 5.6% an implant, and 6% a gastric residence device, as compared to 50.8% who stated they would most prefer taking 1 to 3 pills per day. When compared directly to taking pills, differences were observed in the relative preference for an injection based on age (p<0.001), location (p<0.001), and prior receipt of HCV treatment (p=0.005), but not sex. When an implant was compared to pills, greater preference was represented by women (p=0.01) and adults of younger ages (p=0.012 per 5 years). Among participants without HCV, 49.5% felt that injections are stronger than pills, and 34.7% preferred taking injections to pills. Among those at-risk participants who had received injectable medications in the past, 123 out of 137 (89.8%) expressed willingness to receive one in the future. CONCLUSIONS These data point to high acceptability of long-acting treatments, which for a substantial minority, might even be preferred to pills for the treatment of HCV infection. Long-acting treatments for HCV infection might contribute to global efforts to eliminate hepatitis C.
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Affiliation(s)
- Ethel D Weld
- Department of Medicine, Division of Clinical Pharmacology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Medicine, Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jacqueline Astemborski
- Department of Medicine, Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Medicine, Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Epidemiology, Division of Infectious Disease Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mark S Sulkowski
- Department of Medicine, Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Katz Stephanie
- Department of Medicine, Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Richard Rothman
- Department of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sunil S Solomon
- Department of Medicine, Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Yu-Hsiang Hsieh
- Department of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Malvika Verma
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Giovanni Traverso
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Division of Gastroenterology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Susan Swindells
- Department of Internal Medicine, Section of Infectious Diseases, The University of Nebraska Medical Center, Omaha, NE, USA
| | - Andrew Owen
- Department of Pharmacology and Therapeutics, Centre of Excellence in Long acting Therapeutics (CELT), University of Liverpool, Liverpool, UK
| | - Jordan Feld
- The Toronto Centre for Liver Disease, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Charles Flexner
- Department of Medicine, Division of Clinical Pharmacology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Medicine, Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shruti H Mehta
- Department of Epidemiology, Division of Infectious Disease Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David L Thomas
- Department of Medicine, Division of Infectious Diseases, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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47
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Mutyoba JN, Surkan PJ, Makumbi F, Aizire J, Kirk GD, Ocama P, Atuyambe LM. Corrigendum to "Hepatitis B birth dose vaccination for newborns in Uganda: A qualitative inquiry on pregnant women's perceptions, barriers and preferences" [J Virus Eradic 7(2) (2021) 100039]. J Virus Erad 2021; 7:100051. [PMID: 34646573 DOI: 10.1016/j.jve.2021.100051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
[This corrects the article DOI: 10.1016/j.jve.2021.100039.].
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Affiliation(s)
- Joan Nankya Mutyoba
- Department of Epidemiology & Biostatistics, School of Public Health, Makerere University College of Health Sciences, P.O. Box 7072, Kampala, Uganda
| | - Pamela J Surkan
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Fredrick Makumbi
- Department of Epidemiology & Biostatistics, School of Public Health, Makerere University College of Health Sciences, P.O. Box 7072, Kampala, Uganda
| | - Jim Aizire
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.,Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ponsiano Ocama
- Department of Medicine, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Lynn M Atuyambe
- Department of Community Health & Behavioral Sciences, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda
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Clipman SJ, Wesolowski AP, Gibson DG, Agarwal S, Lambrou AS, Kirk GD, Labrique AB, Mehta SH, Solomon SS. Rapid Real-time Tracking of Nonpharmaceutical Interventions and Their Association With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Positivity: The Coronavirus Disease 2019 (COVID-19) Pandemic Pulse Study. Clin Infect Dis 2021; 73:e1822-e1829. [PMID: 32877921 PMCID: PMC7499535 DOI: 10.1093/cid/ciaa1313] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 08/31/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Current mitigation strategies for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rely on the population-wide adoption of nonpharmaceutical interventions (NPIs). Monitoring the adoption of NPIs and their associations with SARS-CoV-2 infection history can provide key information for public health. METHODS We sampled 1030 individuals in Maryland from 17-28 June 2020 to capture sociodemographically and geographically resolved information about NPI adoption and access to SARS-CoV-2 testing, and examine associations with self-reported SARS-CoV-2 positivity. RESULTS Overall, 92% reported traveling for essential services and 66% visited friends/family. Use of public transport was reported by 18%. In total, 68% reported strict social distancing indoors and 53% reported strict masking indoors; indoor social distancing was significantly associated with age, and race/ethnicity and income were associated with masking. Overall, 55 participants (5.3%) self-reported ever testing positive for SARS-CoV-2, with strong dose-response relationships between several forms of movement frequency and SARS-CoV-2 positivity. In a multivariable analysis, a history of SARS-CoV-2 infection was negatively associated with strict social distancing (adjusted odds ratio [aOR] for outdoor social distancing, 0.10; 95% confidence interval, .03-.33). Only public transport use (aOR for >7 times vs never, 4.3) and visiting a place of worship (aOR for ≥3 times vs never, 16.0) remained significantly associated with SARS-CoV-2 infection after adjusting for strict social distancing and demographics. CONCLUSIONS These results support public health messaging that strict social distancing during most activities can reduce SARS-CoV-2 transmission. Additional considerations are needed for indoor activities with large numbers of persons (places of worship and public transportation), where even NPIs may not be possible or sufficient.
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Affiliation(s)
- Steven J Clipman
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Amy P Wesolowski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Dustin G Gibson
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Smisha Agarwal
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Anastasia S Lambrou
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Alain B Labrique
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Shruti H Mehta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Sunil S Solomon
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Kim HN, Newcomb CW, Carbonari DM, Roy JA, Torgersen J, Althoff KN, Kitahata MM, Reddy KR, Lim JK, Silverberg MJ, Mayor AM, Horberg MA, Cachay ER, Kirk GD, Sun J, Hull M, Gill MJ, Sterling TR, Kostman JR, Peters MG, Moore RD, Klein MB, Re VL. Risk of HCC With Hepatitis B Viremia Among HIV/HBV-Coinfected Persons in North America. Hepatology 2021; 74:1190-1202. [PMID: 33780007 PMCID: PMC8843101 DOI: 10.1002/hep.31839] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 03/17/2021] [Accepted: 03/19/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND AIMS Chronic HBV is the predominant cause of HCC worldwide. Although HBV coinfection is common in HIV, the determinants of HCC in HIV/HBV coinfection are poorly characterized. We examined the predictors of HCC in a multicohort study of individuals coinfected with HIV/HBV. APPROACH AND RESULTS We included persons coinfected with HIV/HBV within 22 cohorts of the North American AIDS Cohort Collaboration on Research and Design (1995-2016). First occurrence of HCC was verified by medical record review and/or cancer registry. We used multivariable Cox regression to determine adjusted HRs (aHRs [95% CIs]) of factors assessed at cohort entry (age, sex, race, body mass index), ever during observation (heavy alcohol use, HCV), or time-updated (HIV RNA, CD4+ percentage, diabetes mellitus, HBV DNA). Among 8,354 individuals coinfected with HIV/HBV (median age, 43 years; 93% male; 52.4% non-White), 115 HCC cases were diagnosed over 65,392 person-years (incidence rate, 1.8 [95% CI, 1.5-2.1] events/1,000 person-years). Risk factors for HCC included age 40-49 years (aHR, 1.97 [1.22-3.17]), age ≥50 years (aHR, 2.55 [1.49-4.35]), HCV coinfection (aHR, 1.61 [1.07-2.40]), and heavy alcohol use (aHR, 1.52 [1.04-2.23]), while time-updated HIV RNA >500 copies/mL (aHR, 0.90 [0.56-1.43]) and time-updated CD4+ percentage <14% (aHR, 1.03 [0.56-1.90]) were not. The risk of HCC was increased with time-updated HBV DNA >200 IU/mL (aHR, 2.22 [1.42-3.47]) and was higher with each 1.0 log10 IU/mL increase in time-updated HBV DNA (aHR, 1.18 [1.05-1.34]). HBV suppression with HBV-active antiretroviral therapy (ART) for ≥1 year significantly reduced HCC risk (aHR, 0.42 [0.24-0.73]). CONCLUSION Individuals coinfected with HIV/HBV on ART with detectable HBV viremia remain at risk for HCC. To gain maximal benefit from ART for HCC prevention, sustained HBV suppression is necessary.
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Affiliation(s)
| | | | | | - Jason A. Roy
- Rutgers School of Public Health, Rutgers University, Piscataway, NJ, USA
| | | | | | | | | | | | | | - Angel M. Mayor
- Retrovirus Research Center, Universidad Central del Caribe, Bayamon, Puerto Rico
| | | | | | | | - Jing Sun
- Johns Hopkins University, Baltimore, MD, USA
| | - Mark Hull
- University of British Columbia, Vancouver, Canada
| | | | | | - Jay R. Kostman
- Philadelphia Field Initiating Group for HIV Trials, Philadelphia, PA, USA
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50
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Wu KC, Haberlen SA, Plankey MW, Palella FJ, Piggott DA, Kirk GD, Margolick JB, Post WS. Human immunodeficiency viral infection and differences in interstitial ventricular fibrosis and left atrial size. Eur Heart J Cardiovasc Imaging 2021; 22:888-895. [PMID: 33693554 DOI: 10.1093/ehjci/jeab037] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 02/18/2021] [Indexed: 01/01/2023] Open
Abstract
AIMS The extent to which human immunodeficiency viral (HIV) infection is independently associated with myocardial disease in the era of combination antiretroviral therapy (cART) remains understudied. We assessed differences in cardiovascular magnetic resonance imaging (CMR) metrics among people living with HIV (PLWH) and without HIV (PWOH). METHODS AND RESULTS Among 436 participants (aged 54.7 ± 6.0 years, 29% women) from three cohorts, we acquired CMR cines, late gadolinium enhancement (LGE), and T1 mapping. Multivariable linear regressions were used to evaluate associations between HIV serostatus and CMR metrics. Baseline characteristics were similar by HIV serostatus; 63% were PLWH of whom 88% received cART and 73% were virally suppressed. Median left ventricular ejection fraction was normal and similar by HIV serostatus (73%, PWOH vs. 72%, PLWH, P = 0.43) as were right ventricular function, biventricular volumes, and masses. LGE prevalence was similar (32%, PWOH vs. 36%, PLWH, P = 0.46) with low scar extents (4.1, PWOH vs. 4.9 g, PLWH, P = 0.51) and few ischaemic scars (3%, PWOH vs. 4%, PLWH, P = 0.70). Extracellular volume fraction (ECV) was higher among PLWH (29.2 ± 4.1% vs. 28.3 ± 3.7%, P = 0.04) as was indexed maximum left atrial (LA) volume (LAVI, 29.7 ± 10.3 vs. 27.8 ± 8.7 mL/m2, P = 0.05). After multivariate adjustment, ECV was 0.84% higher among PLWH (P = 0.05) and LAVI was 2.45 mL/m2 larger (P = 0.01). HIV seropositivity and higher ECV contributed to higher LAVI (P < 0.02). There were no associations between HIV disease severity and CMR metrics among PLWH. CONCLUSION HIV seropositivity was independently associated with greater diffuse non-ischaemic fibrosis and larger LA volume but no other differences in CMR metrics.
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Affiliation(s)
- Katherine C Wu
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Blalock 559, 600 North Wolfe Street, Baltimore, MD 21287, USA
| | - Sabina A Haberlen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michael W Plankey
- Department of Medicine, Georgetown University Medical Center, Washington, DC, USA
| | - Frank J Palella
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Damani A Piggott
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gregory D Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joseph B Margolick
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Blalock 559, 600 North Wolfe Street, Baltimore, MD 21287, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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