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Haw NJL, Lesko CR, Ng DK, Lam J, Lang R, Kitahata MM, Crane H, Eron J, Gill MJ, Horberg MA, Karris M, Loutfy M, Mcginnis KA, Moore RD, Althoff K, Agwu A. Incidence of non-AIDS defining comorbidities among young adults with perinatally-acquired HIV in North America, 2000-2019. AIDS 2024:00002030-990000000-00464. [PMID: 38507583 DOI: 10.1097/qad.0000000000003892] [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: 03/22/2024]
Abstract
OBJECTIVE To describe the incidence of diabetes mellitus type 2 (T2DM), hypercholesterolemia, hypertriglyceridemia, hypertension, and chronic kidney disease (CKD) from 2000 to 2019 among North American adults with perinatally-acquired HIV (PHIV) aged 18 to 30. DESIGN Description of outcomes based on electronic health records for a cohort of 375 young adults with PHIV enrolled in routine HIV care at clinics contributing data to the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). METHODS We estimated overall, sex-, and race-stratified cumulative incidences using Turnbull estimation, and incidence rates using quasi-Poisson regression. T2DM was defined as glycosylated hemoglobin >6.5% or based on clinical diagnosis and medication use. Hypercholesterolemia was based on medication use or total cholesterol ≥200 mg/dL. Hypertriglyceridemia was based on medication use or fasting triglyceride ≥150 mg/dL or non-fasting ≥200 mg/dL. Hypertension was based on clinical diagnosis. CKD was defined as estimated glomerular filtration rates <90 ml/mi|1.73 m2 for ≥3 months. RESULTS Cumulative incidence by age 30 and incidence rates from age 18 to 30 (per 100 person-years) were: T2DM: 19%, 2.9; hypercholesterolemia: 40%, 4.6; hypertriglyceridemia: 50%, 5.6; hypertension: 22%, 2.0; and CKD: 25%, 3.3. Non-Black females had the highest incidence of hypercholesterolemia and hypertriglyceridemia, Black adults had the highest hypertension incidence, and Black males had the highest CKD incidence. CONCLUSION There was a high incidence of five chronic comorbidities among people with PHIV. Earlier screening at younger ages might be considered for this unique population to strengthen prevention strategies and initiate treatment in a timely way.
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Affiliation(s)
- Nel Jason L Haw
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Catherine R Lesko
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Derek K Ng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jennifer Lam
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Raynell Lang
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Mari M Kitahata
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Heidi Crane
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Joseph Eron
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - M John Gill
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
| | | | - Maile Karris
- Department of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Mona Loutfy
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Maple Leaf Medical Clinic, Toronto, ON, Canada
| | | | - Richard D Moore
- Department of Medicine, Johns Hopkins Medicine, Baltimore, MD
| | - Keri Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Allison Agwu
- Department of Medicine, Johns Hopkins Medicine, Baltimore, MD
- Department of Pediatrics, Johns Hopkins Medicine, Baltimore, MD, USA
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Barth SK, Saulters KJ, Balba GP, Monroe AK, Horberg MA, Kumar PN, Greenberg AE, Castel AD. Mixed Methods Analysis of Telehealth Experience, Satisfaction, and Quality of Care During the COVID Pandemic Among Persons with HIV in Washington, DC. AIDS Behav 2024; 28:912-923. [PMID: 37872460 PMCID: PMC10923106 DOI: 10.1007/s10461-023-04198-7] [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] [Accepted: 09/21/2023] [Indexed: 10/25/2023]
Abstract
The purpose of this study is to describe telehealth experiences and quality of HIV care provided to an urban population of people with HIV (PWH) in Washington, DC. We used self-reported survey data from a cohort of PWH in the DC Cohort longitudinal study linked to medical records (October 26, 2020-December 31, 2021). Analyses followed a mixed-methods approach, including prevalence estimates and multivariable logistic regression of telehealth use by demographic and HIV characteristics. We measured primary motivation, modes of engagement, and telehealth satisfaction. Qualitative responses to open-ended questions were coded using collaborative coding. A framework developed by the National Quality Forum (NQF) was applied to the results. Among 978 participants, 69% reported using telehealth for HIV care during the pandemic. High school graduates were less likely to use telehealth compared to those with college education (aOR 0.69, 95% CI 0.48, 0.98). PWH with > 1 co-morbid condition were more likely to use telehealth compared to those without (aOR 1.42, 95% CI 1.02, 1.95). The majority reported satisfaction with telehealth (81%). Qualitative analysis of telehealth satisfaction found that most responses were related to access to care and technology, effectiveness, and patient experience. PWH using telehealth during the pandemic were satisfied with their experience though use differed demographically. Telehealth was used effectively to overcome barriers to care engagement, including transportation, costs, and time. As we transition away from the emergency pandemic responses, it will be important to determine how this technology can be used in the future in an equitable manner to further strengthen HIV care engagement.
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Affiliation(s)
- Shannon K Barth
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, 950 New Hampshire Avenue NW, Suite 500, Washington, DC, 20052, USA.
| | - Kacie J Saulters
- Department of Internal Medicine, University of Maryland Capital Region Health, Largo, MD, USA
| | - Gayle P Balba
- Division of Infectious Diseases, Georgetown University Medical Center, Washington, DC, USA
| | - Anne K Monroe
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, 950 New Hampshire Avenue NW, Suite 500, Washington, DC, 20052, USA
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
| | - Princy N Kumar
- Georgetown University School of Medicine, Washington, DC, USA
| | - Alan E Greenberg
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, 950 New Hampshire Avenue NW, Suite 500, Washington, DC, 20052, USA
| | - Amanda D Castel
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, 950 New Hampshire Avenue NW, Suite 500, Washington, DC, 20052, USA
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Lam JO, Leyden WA, Alexeeff S, Lea AN, Hechter RC, Hu H, Marcus JL, Pitts L, Yuan Q, Towner WJ, Horberg MA, Silverberg MJ. Changes in Body Mass Index Over Time in People With and Without HIV Infection. Open Forum Infect Dis 2024; 11:ofad611. [PMID: 38323078 PMCID: PMC10846771 DOI: 10.1093/ofid/ofad611] [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: 07/12/2023] [Accepted: 12/01/2023] [Indexed: 02/08/2024] Open
Abstract
Background Excess weight gain is an important health concern among people with HIV (PWH) on antiretroviral therapy (ART). The extent to which ART contributes to body mass index (BMI) changes is incompletely understood. Methods We conducted a retrospective study of PWH initiating ART and demographically matched people without HIV (PWoH). Data on baseline BMI (kg/m2; categorized as underweight/normal, overweight, or obese) and ART class (integrase strand transfer inhibitor [INSTI], non-nucleoside reverse transcriptase inhibitor [NNRTI], protease inhibitor [PI]) were obtained from electronic health records. BMI was evaluated longitudinally using piecewise linear splines in mixed effects models by HIV status, baseline BMI, and ART class. Models were adjusted for sociodemographics, comorbidities, and substance use. Results The study included 8256 PWH and 129 966 PWoH (mean baseline age, 40.9 and 42.2 years, respectively; 88% men). In adjusted models, the average annual change in BMI in the first 2 years after ART initiation was 0.53 for PWH and 0.12 for PWoH (P < .001). BMI increases among PWH were observed for all ART classes: 0.69 for INSTIs, 0.69 for PIs, and 0.40 for NNRTIs vs 0.12 among PWoH. For PWH initiating INSTIs, BMI increases were observed regardless of baseline BMI. Overall BMI changes >2 years after ART initiation were similar by HIV status (0.02 average annual increase for PWH and PWoH). Conclusions PWH initiating ART gained excess weight in the first 2 years, emphasizing the importance of monitoring weight and cardiometabolic health among ART-treated PWH.
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Affiliation(s)
- Jennifer O Lam
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Wendy A Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Stacey Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Alexandra N Lea
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Rulin C Hechter
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
| | - Haihong Hu
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
| | - Julia L Marcus
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Lakecia Pitts
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Qing Yuan
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - William J Towner
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
- Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
| | - Michael A Horberg
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
| | - Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
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Byrne M, Monroe AK, Doshi RK, Horberg MA, Castel AD. A Latent Class Analysis of Substance Use and Longitudinal HIV RNA Patterns Among PWH in DC Cohort. AIDS Behav 2024; 28:682-694. [PMID: 38319460 PMCID: PMC10952057 DOI: 10.1007/s10461-023-04257-z] [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] [Accepted: 12/26/2023] [Indexed: 02/07/2024]
Abstract
People with HIV (PWH) with substance use disorders (SUD) have worse health outcomes than PWH without SUD. Our objective was to characterize substance use patterns and their impact on longitudinal HIV RNA trajectories among those enrolled in an observational study of PWH in care in Washington, DC. Substance use by type (alcohol, cannabis, opioid, stimulant, hallucinogen, inhalant, sedative) was used to identify shared patterns of substance use using Latent Class Analysis (LCA). A multinomial logistic regression model evaluated the association between the resulting substance use classes and the membership probability in longitudinal HIV RNA trajectory groups. There were 30.1% of participants with at least one substance reported. LCA resulted in a three-class model: (1) Low-Level Substance Use, (2) Opioid Use, and (3) Polysubstance. The Opioid and Polysubstance Use classes were more likely to have a mental health diagnosis (45.4% and 53.5%; p < 0.0001). Members in the Opioid Use class were older (median age of 54.9 years (IQR 50.3-59.2) than both the Polysubstance and Low-Level Substance Use Classes (p < 0.0001). There were 3 HIV RNA trajectory groups: (1) Undetectable, (2) Suppressed, and (3) Unsuppressed HIV RNA over 18 months of follow-up. The probability of being in the unsuppressed HIV RNA group trajectory when a member of the Opioid Use or Polysubstance Use classes was 2.5 times and 1.5 times greater than the Low-Level Substance Use class, respectively. The Opioid Use and Polysubstance Use classes, with higher-risk drug use, should be approached with more targeted HIV-related care to improve outcomes.
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Affiliation(s)
- Morgan Byrne
- George Washington University, Washington, DC, USA.
| | | | | | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
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O’Connor LF, Byrne M, Baskaran A, Andersen EW, Horberg MA, Benator DA, Lucar J, Denyer RV, Lee R, Castel AD, Monroe AK. Characterizing Indicators of Engagement in HIV-Associated Healthcare and Clinical Outcomes among People with HIV and Mpox in Washington, DC: A Nested Case-Control Study of the DC Cohort. Pathogens 2024; 13:117. [PMID: 38392854 PMCID: PMC10892472 DOI: 10.3390/pathogens13020117] [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: 12/22/2023] [Revised: 01/19/2024] [Accepted: 01/25/2024] [Indexed: 02/25/2024] Open
Abstract
The high proportion of people with HIV (PWH) in the 2022-2023 mpox outbreak has raised questions surrounding the association between HIV and mpox. The objectives of this study were to evaluate the association between engagement in HIV-associated healthcare and mpox diagnosis, as well as to characterize cases of mpox among PWH. The DC Cohort is a longitudinal cohort of PWH in Washington, DC. We conducted a 5:1 (controls:cases) nested case-cohort study on male participants, matching age and care site. Cases were participants with an identified mpox diagnosis. Conditional logistic regression was used to assess the impact of indicators of engagement in HIV-associated healthcare on mpox diagnosis. We identified 70 cases of mpox in DC Cohort participants randomly matched to 323 controls, for a total of 393 participants included in the analysis. Study participants were primarily non-Hispanic Black (72.3%) with a median age of 41 (IQR: 36, 50). There was no association between engagement in care and mpox diagnosis; however, low CD4 was associated with increased odds of mpox diagnosis (aOR: 4.60 (95% CI: 1.23, 17.11)). Among a cohort of PWH, engagement in care was not associated with mpox diagnosis, suggesting that the overrepresentation of PWH among mpox cases is not due to surveillance bias.
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Affiliation(s)
- Lauren F. O’Connor
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Morgan Byrne
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Anuja Baskaran
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Elisabeth W. Andersen
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, MD 20852, USA
| | - Debra A. Benator
- District of Columbia Veterans Affairs Medical Center, Washington, DC 20422, USA
- School of Medicine & Health Sciences, The George Washington University, Washington, DC 20037, USA
| | - Jose Lucar
- School of Medicine & Health Sciences, The George Washington University, Washington, DC 20037, USA
| | - Rachel V. Denyer
- District of Columbia Veterans Affairs Medical Center, Washington, DC 20422, USA
- School of Medicine & Health Sciences, The George Washington University, Washington, DC 20037, USA
| | - Rachel Lee
- District of Columbia Veterans Affairs Medical Center, Washington, DC 20422, USA
- School of Medicine & Health Sciences, The George Washington University, Washington, DC 20037, USA
| | - Amanda D. Castel
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Anne K. Monroe
- Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
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Silverberg MJ, Levine TM, Lea AN, Williams AE, Alexeeff SE, Bryant K, Cavassini M, Flamm JA, Hare CB, Ingle SM, Justice AC, Lam JO, Sterling SA, Horberg MA, Satre DD. Cardiovascular Disease Risk Factor Control in People With and Without Human Immunodeficiency Virus. Clin Infect Dis 2024:ciad728. [PMID: 38227614 DOI: 10.1093/cid/ciad728] [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: 11/02/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Management of hypertension, dyslipidemia, diabetes and other modifiable factors may mitigate the cardiovascular disease (CVD) risk in people with human immunodeficiency virus (HIV, PWH) compared with people without HIV (PWoH). METHODS This was a retrospective cohort study of 8285 PWH and 170 517 PWoH from an integrated health system. Risk factor control was measured using a novel disease management index (DMI) accounting for amount/duration above treatment goals (0% to 100% [perfect control]), including 2 DMIs for hypertension (diastolic and systolic blood pressure), 3 for dyslipidemia (low-density lipoprotein, total cholesterol, triglycerides), and 1 for diabetes (HbA1c). CVD risk by HIV status was evaluated overall and in subgroups defined by DMIs, smoking, alcohol use, and overweight/obesity in adjusted Cox proportional hazards models. RESULTS PWH and PWoH had similar DMIs (80%-100%) except for triglycerides (worse for PWH) and HbA1c (better for PWH). In adjusted models, PWH had an elevated risk of CVD compared with PWoH (hazard ratio [HR], 1.18; 95% confidence interval [CI], 1.07-1.31). This association was attenuated in subgroups with controlled dyslipidemia and diabetes but remained elevated for PWH with controlled hypertension or higher total cholesterol. The strongest HIV status association with CVD was seen in the subgroup with frequent unhealthy alcohol use (HR, 2.13; 95% CI, 1.04-4.34). CONCLUSIONS Control of dyslipidemia and diabetes, but not hypertension, attenuated the HIV status association with CVD. The strong association of HIV and CVD with frequent unhealthy alcohol use suggests enhanced screening and treatment of alcohol problems in PWH is warranted.
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Affiliation(s)
- Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Tory M Levine
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Alexandra N Lea
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Andrew E Williams
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Kendall Bryant
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Matthias Cavassini
- Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Jason A Flamm
- Kaiser Permanente Sacramento Medical Center, Sacramento, California, USA
| | - C Bradley Hare
- Kaiser Permanente SanFrancisco Medical Center, San Francisco, California, USA
| | - Suzanne M Ingle
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Amy C Justice
- VA Connecticut Healthcare System, Yale University Schools of Medicine and Public Health, New Haven, Connecticut, USA
| | - Jennifer O Lam
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Stacy A Sterling
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
| | - Derek D Satre
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, SanFrancisco, California, USA
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7
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Stewart B, Byrne M, Levy M, Horberg MA, Monroe AK, Castel AD. The Association of Mental Health and Substance Use With Retention in HIV Care Among Black Women in Washington, District of Columbia. Womens Health Issues 2024:S1049-3867(23)00204-9. [PMID: 38184379 DOI: 10.1016/j.whi.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 10/23/2023] [Accepted: 11/08/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Black women with HIV are impacted by mental health and substance use disorders alongside barriers to care. The impact of these disorders on retention in care, a crucial step of the HIV care continuum, has not been well-studied. We examined the association between these disorders and retention in care over a 2-year period. METHODS Data from January 1, 2011, to June 30, 2019, were obtained from the DC Cohort, an observational HIV study in Washington, District of Columbia. We examined the associations between mental health (i.e., mood-related or trauma-related) or substance use disorders, separately, on not being retained in HIV care over a 2-year interval post-enrollment among non-Hispanic Black women with HIV. Multivariate logistic regression with adjusted odds ratios (aORs) for sociodemographic and clinical variables was used to quantify the association of 1) having a confirmed mental health or substance use disorder and 2) not being retained in care. RESULTS Among the 2,181 women in this analysis, 690 (31.64%) were not retained in care. The prevalence of a mood-related disorder (39.84%) was higher compared with a substance use (16.19%) or trauma-related disorder (7.75%). Age per a 10-year increase (aOR 0.87; confidence interval [CI] 0.80, 0.94) and a mood-related disorder diagnosis (aOR 0.72; CI: 0.59, 0.88) were inversely associated with not being retained in care. CONCLUSION Mood-related disorders were prevalent among Black women with HIV in Washington, District of Columbia, but were not associated with worse retention in care. Future studies should examine key facilitators for Black women with HIV and coexisting mood-related disorders and how they impact retention in care.
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Affiliation(s)
- Bianca Stewart
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia.
| | - Morgan Byrne
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia
| | | | - Michael A Horberg
- Mid-Atlantic Permanente Medical Group, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland
| | - Anne K Monroe
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia
| | - Amanda D Castel
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia
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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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9
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Burrell TD, Sheu YS, Kim S, Mohadikar K, Ortiz N, Jonas C, Horberg MA. COVID-19 and Adolescent Outpatient Mental Health Service Utilization. Acad Pediatr 2024; 24:68-77. [PMID: 37302698 PMCID: PMC10250250 DOI: 10.1016/j.acap.2023.05.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/20/2023] [Accepted: 05/27/2023] [Indexed: 06/13/2023]
Abstract
OBJECTIVE The COVID-19 pandemic created challenges in accessing mental health (MH) services when adolescent well-being declined. Still, little is known about how the COVID-19 pandemic affected outpatient MH service utilization for adolescents. METHODS Retrospective data were collected from electronic medical records of adolescents aged 12-17 years at Kaiser Permanente Mid-Atlantic States, an integrated health care system from January 2019 to December 2021. MH diagnoses included anxiety, mood disorder/depression, anxiety and mood disorder/depression, attention-deficit/hyperactivity disorder, or psychosis. We used interrupted time series analysis to compare MH visits and psychopharmaceutical prescribing before and after the COVID-19 onset. Analyses were stratified by demographics and visit modality. RESULTS The study population of 8121 adolescents with MH visits resulted in a total of 61,971 (28.1%) of the 220,271 outpatient visits associated with an MH diagnosis. During 15,771 (7.2%) adolescent outpatient visits psychotropic medications were prescribed. The increasing rate of MH visits prior to COVID-19 was unaffected by COVID-19 onset; however, in-person visits declined by 230.5 visits per week (P < .001) from 274.5 visits per week coupled with a rise in virtual modalities. Rates of MH visits during the COVID-19 pandemic differed by sex, mental health diagnosis, and racial and ethnic identity. Psychopharmaceutical prescribing during MH visits declined beyond expected values by a mean of 32.8 visits per week (P < .001) at the start of the COVID-19 pandemic. CONCLUSIONS A sustained switch to virtual visits highlights a new paradigm in care modalities for adolescents. Psychopharmaceutical prescribing declined requiring further qualitative assessments to improve the quality of access for adolescent MH.
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Affiliation(s)
- Tierra D Burrell
- Kaiser Permanente Mid-Atlantic Permanente Research Institute (TD Burrell, YS Sheu, S Kim, K Mohadikar, C Jonas, and MA Horberg), Rockville, Md; Kaiser Permanente Mid-Atlantic Permanente Medical Group (TD Burrell, YS Sheu, S Kim, K Mohadikar, N Ortiz, C Jonas, and MA Horberg), Rockville, Md.
| | - Yi-Shin Sheu
- Kaiser Permanente Mid-Atlantic Permanente Research Institute (TD Burrell, YS Sheu, S Kim, K Mohadikar, C Jonas, and MA Horberg), Rockville, Md; Kaiser Permanente Mid-Atlantic Permanente Medical Group (TD Burrell, YS Sheu, S Kim, K Mohadikar, N Ortiz, C Jonas, and MA Horberg), Rockville, Md
| | - Seohyun Kim
- Kaiser Permanente Mid-Atlantic Permanente Research Institute (TD Burrell, YS Sheu, S Kim, K Mohadikar, C Jonas, and MA Horberg), Rockville, Md; Kaiser Permanente Mid-Atlantic Permanente Medical Group (TD Burrell, YS Sheu, S Kim, K Mohadikar, N Ortiz, C Jonas, and MA Horberg), Rockville, Md
| | - Karishma Mohadikar
- Kaiser Permanente Mid-Atlantic Permanente Research Institute (TD Burrell, YS Sheu, S Kim, K Mohadikar, C Jonas, and MA Horberg), Rockville, Md; Kaiser Permanente Mid-Atlantic Permanente Medical Group (TD Burrell, YS Sheu, S Kim, K Mohadikar, N Ortiz, C Jonas, and MA Horberg), Rockville, Md
| | - Nancy Ortiz
- Kaiser Permanente Mid-Atlantic Permanente Medical Group (TD Burrell, YS Sheu, S Kim, K Mohadikar, N Ortiz, C Jonas, and MA Horberg), Rockville, Md
| | - Cabell Jonas
- Kaiser Permanente Mid-Atlantic Permanente Research Institute (TD Burrell, YS Sheu, S Kim, K Mohadikar, C Jonas, and MA Horberg), Rockville, Md; Kaiser Permanente Mid-Atlantic Permanente Medical Group (TD Burrell, YS Sheu, S Kim, K Mohadikar, N Ortiz, C Jonas, and MA Horberg), Rockville, Md
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute (TD Burrell, YS Sheu, S Kim, K Mohadikar, C Jonas, and MA Horberg), Rockville, Md; Kaiser Permanente Mid-Atlantic Permanente Medical Group (TD Burrell, YS Sheu, S Kim, K Mohadikar, N Ortiz, C Jonas, and MA Horberg), Rockville, Md
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10
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Davy-Mendez T, Napravnik S, Hogan BC, Eron JJ, Gebo KA, Althoff KN, Moore RD, Silverberg MJ, Horberg MA, Gill MJ, Rebeiro PF, Karris MY, Klein MB, Kitahata MM, Crane HM, Nijhawan A, McGinnis KA, Thorne JE, Lima VD, Bosch RJ, Colasanti JA, Rabkin CS, Lang R, Berry SA. Hospital Readmissions Among Persons With Human Immunodeficiency Virus in the United States and Canada, 2005-2018: A Collaboration of Cohort Studies. J Infect Dis 2023; 228:1699-1708. [PMID: 37697938 PMCID: PMC10733730 DOI: 10.1093/infdis/jiad396] [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: 06/05/2023] [Revised: 08/25/2023] [Accepted: 09/08/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Hospital readmission trends for persons with human immunodeficiency virus (PWH) in North America in the context of policy changes, improved antiretroviral therapy (ART), and aging are not well-known. We examined readmissions during 2005-2018 among adult PWH in NA-ACCORD. METHODS Linear risk regression estimated calendar trends in 30-day readmissions, adjusted for demographics, CD4 count, AIDS history, virologic suppression (<400 copies/mL), and cohort. RESULTS We examined 20 189 hospitalizations among 8823 PWH (73% cisgender men, 38% White, 38% Black). PWH hospitalized in 2018 versus 2005 had higher median age (54 vs 44 years), CD4 count (469 vs 274 cells/μL), and virologic suppression (83% vs 49%). Unadjusted 30-day readmissions decreased from 20.1% (95% confidence interval [CI], 17.9%-22.3%) in 2005 to 16.3% (95% CI, 14.1%-18.5%) in 2018. Absolute annual trends were -0.34% (95% CI, -.48% to -.19%) in unadjusted and -0.19% (95% CI, -.35% to -.02%) in adjusted analyses. By index hospitalization reason, there were significant adjusted decreases only for cardiovascular and psychiatric hospitalizations. Readmission reason was most frequently in the same diagnostic category as the index hospitalization. CONCLUSIONS Readmissions decreased over 2005-2018 but remained higher than the general population's. Significant decreases after adjusting for CD4 count and virologic suppression suggest that factors alongside improved ART contributed to lower readmissions. Efforts are needed to further prevent readmissions in PWH.
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Affiliation(s)
- Thibaut Davy-Mendez
- School of Medicine
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Sonia Napravnik
- School of Medicine
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | | | - Joseph J Eron
- School of Medicine
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Kelly A Gebo
- Bloomberg School of Public Health
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Keri N Althoff
- Bloomberg School of Public Health
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Richard D Moore
- Bloomberg School of Public Health
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | | | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - M John Gill
- Southern Alberta HIV Clinic, Calgary, Canada
| | - Peter F Rebeiro
- School of Medicine, Vanderbilt University, Nashville, Tennessee
| | | | - Marina B Klein
- Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | | | - Heidi M Crane
- School of Medicine, University of Washington, Seattle
| | - Ank Nijhawan
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas
| | - Kathleen A McGinnis
- Department of Internal Medicine, Veterans Affairs Connecticut Healthcare, West Haven
| | | | - Viviane D Lima
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
| | - Ronald J Bosch
- T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | | | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Raynell Lang
- Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Stephen A Berry
- Bloomberg School of Public Health
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
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11
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Zalla LC, Cole SR, Eron JJ, Adimora AA, Vines AI, Althoff KN, Marconi VC, Gill MJ, Horberg MA, Silverberg MJ, Rebeiro PF, Lang R, Kasaie P, Moore RD, Edwards JK. Evaluating Clinic-Based Interventions to Reduce Racial Differences in Mortality Among People With Human Immunodeficiency Virus in the United States. J Infect Dis 2023; 228:1690-1698. [PMID: 37437108 PMCID: PMC10733732 DOI: 10.1093/infdis/jiad263] [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: 02/15/2023] [Revised: 06/23/2023] [Accepted: 07/10/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Mortality remains elevated among Black versus White adults receiving human immunodeficiency virus (HIV) care in the United States. We evaluated the effects of hypothetical clinic-based interventions on this mortality gap. METHODS We computed 3-year mortality under observed treatment patterns among >40 000 Black and >30 000 White adults entering HIV care in the United States from 1996 to 2019. We then used inverse probability weights to impose hypothetical interventions, including immediate treatment and guideline-based follow-up. We considered 2 scenarios: "universal" delivery of interventions to all patients and "focused" delivery of interventions to Black patients while White patients continued to follow observed treatment patterns. RESULTS Under observed treatment patterns, 3-year mortality was 8% among White patients and 9% among Black patients, for a difference of 1 percentage point (95% confidence interval [CI], .5-1.4). The difference was reduced to 0.5% under universal immediate treatment (95% CI, -.4% to 1.3%) and to 0.2% under universal immediate treatment combined with guideline-based follow-up (95% CI, -1.0% to 1.4%). Under the focused delivery of both interventions to Black patients, the Black-White difference in 3-year mortality was -1.4% (95% CI, -2.3% to -.4%). CONCLUSIONS Clinical interventions, particularly those focused on enhancing the care of Black patients, could have significantly reduced the mortality gap between Black and White patients entering HIV care from 1996 to 2019.
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Grants
- R01 DA011602 NIDA NIH HHS
- K23 EY013707 NEI NIH HHS
- G12 MD007583 NIMHD NIH HHS
- U01 AI038855 NIAID NIH HHS
- U01 HL146208 NHLBI NIH HHS
- UL1 RR024131 NCRR NIH HHS
- U01 HL146192 NHLBI NIH HHS
- U01 AI069432 NIAID NIH HHS
- K01 AI131895 NIAID NIH HHS
- U01 HL146241 NHLBI NIH HHS
- R01 AA016893 NIAAA NIH HHS
- N01 CP001004 NCI NIH HHS
- P30 AI027767 NIAID NIH HHS
- U01 DA036297 NIDA NIH HHS
- P30 AI050409 NIAID NIH HHS
- U01 HL146333 NHLBI NIH HHS
- F31 AI124794 NIAID NIH HHS
- P30 MH062246 NIMH NIH HHS
- U01 AI069434 NIAID NIH HHS
- NIDCD NIH HHS
- NIDCR NIH HHS
- NINR NIH HHS
- U54 GM133807 NIGMS NIH HHS
- P30 AI094189 NIAID NIH HHS
- U01 HL146245 NHLBI NIH HHS
- K24 DA000432 NIDA NIH HHS
- U01 HL146205 NHLBI NIH HHS
- R01AI157758, U01AI069918, F31AI124794, F31DA037788, G12MD007583, K01AI093197, K01AI131895, K23EY013707, K24AI065298, K24AI118591, K24DA000432, KL2TR000421, N01CP01004, N02CP055504, N02CP91027, P30AI027757, P30AI027763, P30AI027767, P30AI036219, P30AI050409, P30AI050410, P30AI094189, P30AI110527, P30MH62246, R01AA016893, R01DA011602, R01DA012568, R01AG053100, R24AI067039, R34DA045592, U01AA013566, U01AA020790, U01AI038855, U01AI038858, U01AI068634, U01AI068636, U01AI069432, U01AI069434, U01DA036297, U01DA036935, U10EY008057, U10EY008052, U10EY008067, U01HL146192, U01HL146193, U01HL146194, U01HL146201, U01HL146202, U01HL146203, U01HL146204, U01HL146205, U01HL146208, U01HL146240, U01HL146241, U01HL146242, U01HL146245, U01HL146333, U24AA020794, U54GM133807, UL1RR024131, UL1TR000004, UL1TR000083, UL1TR002378, Z01CP010214, and Z01CP010176 NIH HHS
- U01 DA036935 NIDA NIH HHS
- R24 AI067039 NIAID NIH HHS
- U01 HL146242 NHLBI NIH HHS
- N02CP55504 NCI NIH HHS
- U01 AI038858 NIAID NIH HHS
- 90051652 HRSA HHS
- U10 EY008057 NEI NIH HHS
- U01 AI068636 NIAID NIH HHS
- R01 AI157758 NIAID NIH HHS
- U01 HL146201 NHLBI NIH HHS
- NINDS NIH HHS
- U01 HL146193 NHLBI NIH HHS
- U10 EY008052 NEI NIH HHS
- U01 AA020790 NIAAA NIH HHS
- NHGRI NIH HHS
- UL1 TR002378 NCATS NIH HHS
- P30 AI110527 NIAID NIH HHS
- R34 DA045592 NIDA NIH HHS
- P30 AI027763 NIAID NIH HHS
- K01 AI093197 NIAID NIH HHS
- U01 AI069918 NIAID NIH HHS
- K24 AI118591 NIAID NIH HHS
- K24 AI065298 NIAID NIH HHS
- U01 AA013566 NIAAA NIH HHS
- UL1 TR000083 NCATS NIH HHS
- P30 AI027757 NIAID NIH HHS
- U01 HL146204 NHLBI NIH HHS
- R01 DA012568 NIDA NIH HHS
- U01 HL146202 NHLBI NIH HHS
- CDC-200-2006-18797 CDC HHS
- KL2 TR000421 NCATS NIH HHS
- UL1 TR000004 NCATS NIH HHS
- U01 HL146240 NHLBI NIH HHS
- NIDDK NIH HHS
- F31 DA037788 NIDA NIH HHS
- R01 AG053100 NIA NIH HHS
- U10 EY008067 NEI NIH HHS
- P30 AI036219 NIAID NIH HHS
- Z01 CP010176 Intramural NIH HHS
- U01 HL146194 NHLBI NIH HHS
- U24 AA020794 NIAAA NIH HHS
- U01 HL146203 NHLBI NIH HHS
- U01 AI068634 NIAID NIH HHS
- P30 AI050410 NIAID NIH HHS
- ViiV Healthcare
- NIH
- CDC
- Agency for Healthcare Research and Quality
- Health Resources and Services Administration
- Grady Health System
- Canadian Institutes of Health Research
- Ontario Ministry of Health and Long Term Care
- Government of Alberta, Canada
- National Institute of Allergy and Infectious Diseases
- National Cancer Institute
- National Heart, Lung, and Blood Institute
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
- National Human Genome Research Institute
- National Institute for Mental Health
- National Institute on Drug Abuse
- National Institute on Aging
- National Institute of Dental and Craniofacial Research
- National Institute of Neurological Disorders and Stroke
- National Institute of Nursing Research
- National Institute on Alcohol Abuse and Alcoholism
- National Institute on Deafness and Other Communication Disorders
- National Institute of Diabetes and Digestive and Kidney Diseases
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Affiliation(s)
- Lauren C Zalla
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Stephen R Cole
- Department of Epidemiology, Gillings School of Global Public Health
| | - Joseph J Eron
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill
| | - Adaora A Adimora
- Department of Epidemiology, Gillings School of Global Public Health
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill
| | - Anissa I Vines
- Department of Epidemiology, Gillings School of Global Public Health
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Vincent C Marconi
- Division of Infectious Diseases, School of Medicine
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - M John Gill
- Department of Medicine, University of Calgary, Alberta, Canada
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland
| | | | - Peter F Rebeiro
- Department of Medicine and Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Raynell Lang
- Department of Medicine, University of Calgary, Alberta, Canada
| | - Parastu Kasaie
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Richard D Moore
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jessie K Edwards
- Department of Epidemiology, Gillings School of Global Public Health
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12
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Hechter RC, Zhou H, Leyden WA, Yuan Q, Pak KJ, Lam JO, Alexeeff S, Lea A, Hu H, Marcus JL, Rivera AS, Adams AL, Horberg MA, Towner WJ, Lo JC, Silverberg MJ. Fracture Risk and Association With TDF Use Among People With HIV in Large Integrated Health Systems. J Acquir Immune Defic Syndr 2023; 94:341-348. [PMID: 37884055 DOI: 10.1097/qai.0000000000003274] [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: 05/18/2023] [Accepted: 07/10/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Greater decline in bone health among people with HIV (PWH) has been documented but fracture risk and the impact of specific antiretroviral therapy (ART) regimens remain unclear. SETTING Retrospective analyses of electronic health record data from 3 US integrated health care systems. METHODS Fracture incidence was compared between PWH aged 40 years or older without prior fracture and demographically matched people without HIV (PWoH), stratified by age, sex, and race/ethnicity. Multivariable Cox proportional hazards models were used to estimate fracture risk associated with HIV infection. The association of tenofovir disoproxil fumarate (TDF) use and fracture risk was evaluated in a subset of PWH initiating ART. RESULTS Incidence of fracture was higher in PWH [13.6/1000 person-years, 95% confidence interval (CI): 13.0 to 14.3, n = 24,308] compared with PWoH (9.5, 95% CI: 9.4 to 9.7, n = 247,313). Compared with PWoH, the adjusted hazard ratio (aHR) for fracture among PWH was 1.24 (95% CI: 1.18 to 1.31). The association between HIV infection and fracture risk increased with age, with the lowest aHR (1.17, 95% CI: 1.10 to 1.25) among those aged 40-49 years and the highest aHR (1.89, 95% CI: 1.30 to 2.76) among those aged 70 years or older. Among PWH initiating ART (n = 6504), TDF was not associated with significant increase in fracture risk compared with non-TDF regimens (aHR: 1.18, 95% CI: 0.89 to 1.58). CONCLUSIONS Among people aged 40 years or older, HIV infection is associated with increased risk of fractures. Bone health screening from the age of 40 years may be beneficial for PWH. Large cohort studies with longer follow-up are needed to evaluate TDF effect and the potential benefit of early screening.
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Affiliation(s)
- Rulin C Hechter
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
| | - Hui Zhou
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
| | - Wendy A Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Qing Yuan
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Katherine J Pak
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Jennifer O Lam
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Stacey Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Alexandra Lea
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Haihong Hu
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD
| | - Julia L Marcus
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; and
| | - Adovich S Rivera
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Annette L Adams
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Michael A Horberg
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD
| | - William J Towner
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
| | - Joan C Lo
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; and
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA
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13
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Jonas MC, Egan K, Sheu YS, McCarthy RJ, Horberg MA. Pride Medical at Capitol Hill: A New Lesbian, Gay, Bisexual, Transgender, Queer/Questioning plus (LGBTQ+) Patient Care Option at Kaiser Permanente Mid-Atlantic States. Healthcare (Basel) 2023; 11:2816. [PMID: 37957960 PMCID: PMC10647306 DOI: 10.3390/healthcare11212816] [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: 09/06/2023] [Revised: 10/17/2023] [Accepted: 10/21/2023] [Indexed: 11/15/2023] Open
Abstract
When accessing medical care, lesbian, gay, bisexual, transgender, queer/questioning plus (LGBTQ+) individuals face many known challenges, including stigma, discrimination, and health disparities. Transgender and nonbinary individuals often encounter physicians and staff who are not knowledgeable about gender-affirming services and the transition journey. Finding an affirming physician can be a trial-and-error process, causing concern and uncertainty. In 2021, Kaiser Permanente Mid-Atlantic States (KPMAS) researchers published a study examining the gaps in care and experience for transgender and nonbinary patients within the KPMAS healthcare system. KPMAS realized an opportunity to both close the gaps in care identified by transgender and nonbinary patients and enhance services for the broader LGBTQ+ patient community by creating Pride Medical at Capitol Hill-an additional and optional care site for individuals who identify as LGBTQ+. During the analysis timeframe of 30 June 2021 through 30 November 2022, 586 patients accessed care through 763 visits. A total of 675 visits (88%) were for primary care and 88 (12%) for OB/GYN. Over 50% (n = 384) of total visits were conducted virtually. The plurality of patients seen identified as a man (35%; n = 204) and gay (30%; n = 176). Postvisit survey results showed that 92% of survey respondents strongly agreed that the physician treated them with courtesy and respect, and 72% of survey respondents rated their overall care as excellent. Survey results show high acceptability of this program among the patients served. Pride Medical does not carve out care. The program offers patients access to a more specialized team of physicians-a similar model to other specialties-that is easily found by the division name Pride Medical. Layering additional specialty divisions on top of existing care, for interested patients, could be an option for other medical groups and health systems seeking to offer additional options of care for interested LGBTQ+ patients.
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Affiliation(s)
- Mary Cabell Jonas
- Mid-Atlantic Permanente Research Institute, Rockville, MD 20852, USA
| | - Keith Egan
- Mid-Atlantic Permanente Medical Group, Rockville, MD 20852, USA
| | - Yi-Shin Sheu
- Mid-Atlantic Permanente Research Institute, Rockville, MD 20852, USA
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Burrell TD, Kim S, Mohadikar K, Jonas C, Ortiz N, Horberg MA. Family Structure and Adolescent Mental Health Service Utilization During the COVID-19 Pandemic. J Adolesc Health 2023; 73:693-700. [PMID: 37032208 PMCID: PMC10081921 DOI: 10.1016/j.jadohealth.2023.01.018] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 11/19/2022] [Accepted: 01/21/2023] [Indexed: 04/11/2023]
Abstract
PURPOSE This study evaluated the relationship between sociodemographic factors including family structure and mental health service (MHS) utilization before and during the COVID-19 pandemic. We also investigated the moderation effects of the COVID-19 pandemic on MHS utilization. METHODS Our retrospective cohort study analyzed adolescents aged 12-17 years with a mental health diagnosis as identified in the electronic medical record enrolled in Kaiser Permanente Mid-Atlantic States in Maryland and Virginia, a comprehensive integrated health system. We used logistic regression models with an interaction term for the COVID-19 pandemic year to determine the relationship between family structure and adolescent MHS utilization ≥ one outpatient behavioral health visit within the measurement year, while adjusting for age, chronic medical condition (= physical illness lasting > 12 months), mental health condition, race, sex, and state of residence. RESULTS Among 5,420 adolescents, only those in two-parent households significantly increased MHS utilization during COVID-19 compared to the prepandemic year (McNemar's χ2 = 9.24, p < .01); however, family structure was not a significant predictor. Overall, the odds of adolescents using MHS were associated with a 12% increase during COVID-19 (odds ratio 1.12, 95% confidence interval [CI]: 1.02-1.22, p < .01). Higher odds of using MHS was associated with chronic medical condition (adjusted odds ratio = 1.15; 95% CI: 1.05-1.26, p < .01) and with White adolescents compared to all racial/ethnic minorities. The odds ratio of females using MHS compared to their male counterparts increased by 63% (ratio of adjusted odds ratio = 1.63; 95% CI: 1.39-1.91, p < .01) during the COVID-19 pandemic. DISCUSSION Individual-level demographic factors served as predictors of MHS utilization with effects moderated by COVID-19.
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Affiliation(s)
- Tierra D Burrell
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland; Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland; Department of Pediatrics, MAPMG, Rockville, Maryland.
| | - Seohyun Kim
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland; Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland
| | - Karishma Mohadikar
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland; Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland
| | - Cabell Jonas
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland; Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland
| | - Nancy Ortiz
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland; Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland
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15
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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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16
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Jetsupphasuk M, Hudgens MG, Lu H, Cole SR, Edwards JK, Adimora AA, Althoff KN, Silverberg MJ, Rebeiro PF, Lima VD, Marconi VC, Sterling TR, Horberg MA, Gill MJ, Kitahata MM, Moore RD, Lang R, Gebo K, Rabkin C, Eron JJ. Optimizing Treatment for Human Immunodeficiency Virus to Improve Clinical Outcomes Using Precision Medicine. Am J Epidemiol 2023; 192:1341-1349. [PMID: 36922393 PMCID: PMC10666965 DOI: 10.1093/aje/kwad057] [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: 07/21/2022] [Revised: 01/03/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023] Open
Abstract
In first-line antiretroviral therapy (ART) for human immunodeficiency virus (HIV) treatment, some subgroups of patients may respond better to an efavirenz-based regimen than an integrase strand transfer inhibitor (InSTI)-based regimen, or vice versa, due to patient characteristics modifying treatment effects. Using data based on nearly 16,000 patients from the North American AIDS Cohort Collaboration on Research and Design from 2009-2016, statistical methods for precision medicine were employed to estimate an optimal treatment rule that minimizes the 5-year risk of the composite outcome of acquired immune deficiency syndrome (AIDS)-defining illnesses, serious non-AIDS events, and all-cause mortality. The treatment rules considered were functions that recommend either an efavirenz- or InSTI-based regimen conditional on baseline patient characteristics such as demographic information, laboratory results, and health history. The estimated 5-year risk under the estimated optimal treatment rule was 10.0% (95% confidence interval (CI): 8.6, 11.3), corresponding to an absolute risk reduction of 2.3% (95% CI: 0.9, 3.8) when compared with recommending an efavirenz-based regimen for all patients and 2.6% (95% CI: 1.0, 4.2) when compared with recommending an InSTI-based regimen for all. Tailoring ART to individual patient characteristics may reduce 5-year risk of the composite outcome compared with assigning all patients the same drug regimen.
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Affiliation(s)
- Michael Jetsupphasuk
- Correspondence to Michael Jetsupphasuk, Department of Biostatistics, UNC Gillings School of Global Public Health, Chapel Hill, NC 27599 (e-mail: )
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17
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Horberg MA, Simons S. Leveraging the Strength of Collaboration in Rapidly Changing Times: The 29th Annual Conference of the Health Care Systems Research Network. J Patient Cent Res Rev 2023; 10:142-145. [PMID: 37483557 PMCID: PMC10358975 DOI: 10.17294/2330-0698.2061] [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: 07/25/2023] Open
Abstract
On February 21, 2023, the 29th annual conference of the Health Care Systems Research Network (HCSRN) kicked off at the Sheraton Downtown Denver with more than 320 participants from 20 HCSRN member institutions. Attendees gathered, in person, to reconnect and network during the 3-day conference, which featured the theme Leveraging the Power of the Network in Rapidly Changing Times. This paper highlights takeaways from the conference's plenary sessions, panel discussions, and abstract presentations.
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Affiliation(s)
- Michael A. Horberg
- Mid-Atlantic Permanente Research Institute, Mid-Atlantic Permanente Medical Group, Rockville, MD
| | - Suzanne Simons
- Health Care Systems Research Network (HCSRN) Central Office, Albany, NY
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18
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Ter-Minassian M, Basra SS, Watson ES, Derus AJ, Horberg MA. Validation of US CDC National Death Index mortality data, focusing on differences in race and ethnicity. BMJ Health Care Inform 2023; 30:e100737. [PMID: 37429673 DOI: 10.1136/bmjhci-2023-100737] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 06/24/2023] [Indexed: 07/12/2023] Open
Abstract
OBJECTIVES The US Center for Disease Control and Prevention's National Death Index (NDI) is a gold standard for mortality data, yet matching patients to the database depends on accurate and available key identifiers. Our objective was to evaluate NDI data for future healthcare research studies with mortality outcomes. METHODS We used a Kaiser Permanente Mid-Atlantic States' Virtual Data Warehouse (KPMAS-VDW) sourced from the Social Security Administration and electronic health records on members enrolled between 1 January 2005 to 31 December 2017. We submitted data to NDI on 1 036 449 members. We compared results from the NDI best match algorithm to the KPMAS-VDW for vital status and death date. We compared probabilistic scores by sex and race and ethnicity. RESULTS NDI returned 372 865 (36%) unique possible matches, 663 061 (64%) records not matched to the NDI database and 522 (<1%) rejected records. The NDI algorithm resulted in 38 862 records, presumed dead, with a lower percentage of women, and Asian/Pacific Islander and Hispanic people than presumed alive. There were 27 306 presumed dead members whose death dates matched exactly between the NDI results and VDW, but 1539 did not have an exact match. There were 10 017 additional deaths from NDI results that were not present in the VDW death data. CONCLUSIONS NDI data can substantially improve the overall capture of deaths. However, further quality control measures were needed to ensure the accuracy of the NDI best match algorithm.
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Affiliation(s)
- Monica Ter-Minassian
- Mid-Atlantic Permanente Research Institute, Mid-Atlantic Permanente Medical Group, Rockville, Maryland, USA
| | - Sundeep S Basra
- Mid-Atlantic Permanente Research Institute, Mid-Atlantic Permanente Medical Group, Rockville, Maryland, USA
| | - Eric S Watson
- Mid-Atlantic Permanente Research Institute, Mid-Atlantic Permanente Medical Group, Rockville, Maryland, USA
| | - Alphonse J Derus
- Research Administration, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Mid-Atlantic Permanente Medical Group, Rockville, Maryland, USA
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19
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Lea AN, Leyden WA, Sofrygin O, Marafino BJ, Skarbinski J, Napravnik S, Agil D, Augenbraun M, Benning L, Horberg MA, Jefferson C, Marconi VC, Park LS, Gordon KS, Bastarache L, Gangireddy S, Althoff KN, Coburn SB, Gebo KA, Lang R, Williams C, Silverberg MJ. Human Immunodeficiency Virus Status, Tenofovir Exposure, and the Risk of Poor Coronavirus Disease 19 Outcomes: Real-World Analysis From 6 United States Cohorts Before Vaccine Rollout. Clin Infect Dis 2023; 76:1727-1734. [PMID: 36861341 PMCID: PMC10209434 DOI: 10.1093/cid/ciad084] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 10/06/2022] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND People with human immunodeficiency virus (HIV) (PWH) may be at increased risk for severe coronavirus disease 2019 (COVID-19) outcomes. We examined HIV status and COVID-19 severity, and whether tenofovir, used by PWH for HIV treatment and people without HIV (PWoH) for HIV prevention, was associated with protection. METHODS Within 6 cohorts of PWH and PWoH in the United States, we compared the 90-day risk of any hospitalization, COVID-19 hospitalization, and mechanical ventilation or death by HIV status and by prior exposure to tenofovir, among those with severe acute respiratory syndrome coronavirus 2 infection between 1 March and 30 November 2020. Adjusted risk ratios (aRRs) were estimated by targeted maximum likelihood estimation, with adjustment for demographics, cohort, smoking, body mass index, Charlson comorbidity index, calendar period of first infection, and CD4 cell counts and HIV RNA levels (in PWH only). RESULTS Among PWH (n = 1785), 15% were hospitalized for COVID-19 and 5% received mechanical ventilation or died, compared with 6% and 2%, respectively, for PWoH (n = 189 351). Outcome prevalence was lower for PWH and PWoH with prior tenofovir use. In adjusted analyses, PWH were at increased risk compared with PWoH for any hospitalization (aRR, 1.31 [95% confidence interval, 1.20-1.44]), COVID-19 hospitalizations (1.29 [1.15-1.45]), and mechanical ventilation or death (1.51 [1.19-1.92]). Prior tenofovir use was associated with reduced hospitalizations among PWH (aRR, 0.85 [95% confidence interval, .73-.99]) and PWoH (0.71 [.62-.81]). CONCLUSIONS Before COVID-19 vaccine availability, PWH were at greater risk for severe outcomes than PWoH. Tenofovir was associated with a significant reduction in clinical events for both PWH and PWoH.
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Affiliation(s)
- Alexandra N Lea
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Wendy A Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Oleg Sofrygin
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Ben J Marafino
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Jacek Skarbinski
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
- Oakland Medical Center, Kaiser Permanente Northern California, Oakland, California, USA
| | - Sonia Napravnik
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Deana Agil
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Michael Augenbraun
- Division of Infectious Diseases, State University of New York Health Sciences University, Brooklyn, USA
| | - Lorie Benning
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
| | - Celeena Jefferson
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
| | - Vincent C Marconi
- Emory University School of Medicine and Rollins School of Public Health, Atlanta Veterans Affairs Medical Center, Atlanta, Georgia, USA
| | - Lesley S Park
- Stanford Department of Epidemiology & Population Health, Stanford University School of Medicine, Palo Alto, California, USA
| | - Kirsha S Gordon
- VA Connecticut Healthcare System, West Haven, Connecticut, USA
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Srushti Gangireddy
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Sally B Coburn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kelly A Gebo
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Raynell Lang
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Carolyn Williams
- Epidemiology Branch, Division of AIDS, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA
| | - Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
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20
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Monroe AK, Kulie PE, Byrne ME, Wilbourn BC, Barth SK, Resnik JB, Huebner DM, Horberg MA, Castel AD, Greenberg AE. Psychosocial impacts of the COVID-19 pandemic from a cross-sectional Survey of people living with HIV in Washington, DC. AIDS Res Ther 2023; 20:27. [PMID: 37161481 PMCID: PMC10169119 DOI: 10.1186/s12981-023-00517-z] [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: 10/24/2022] [Accepted: 04/03/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND COVID-19 has not only taken a staggering toll in terms of cases and lives lost, but also in its psychosocial effects. We assessed the psychosocial impacts of the COVID-19 pandemic in a large cohort of people with HIV (PWH) in Washington DC and evaluated the association of various demographic and clinical characteristics with psychosocial impacts. METHODS From October 2020 to December 2021, DC Cohort participants were invited to complete a survey capturing psychosocial outcomes influenced by the COVID-19 pandemic. Some demographic variables were also collected in the survey, and survey results were matched to additional demographic data and laboratory data from the DC Cohort database. Data analyses included descriptive statistics and multivariable logistic regression models to evaluate the association between demographic and clinical characteristics and psychosocial impacts, assessed individually and in overarching categories (financial/employment, mental health, decreased social connection, and substance use). RESULTS Of 891 participants, the median age was 46 years old, 65% were male, and 76% were of non-Hispanic Black race/ethnicity. The most commonly reported psychosocial impact categories were mental health (78% of sample) and financial/employment (56% of sample). In our sample, older age was protective against all adverse psychosocial impacts. Additionally, those who were more educated reported fewer financial impacts but more mental health impacts, decreased social connection, and increased substance use. Males reported increased substance use compared with females. CONCLUSIONS The COVID-19 pandemic has had substantial psychosocial impacts on PWH, and resiliency may have helped shield older adults from some of these effects. As the pandemic continues, measures to aid groups vulnerable to these psychosocial impacts are critical to help ensure continued success towards healthy living with HIV.
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Affiliation(s)
- Anne K. Monroe
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
| | - Paige E. Kulie
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
| | - Morgan E. Byrne
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
| | - Brittany C. Wilbourn
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
| | - Shannon K. Barth
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
| | - Jenna B. Resnik
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
| | - David M. Huebner
- Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | | | - Amanda D. Castel
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
| | - Alan E. Greenberg
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
| | - the DC Cohort Executive Committee
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, NW 20052 USA
- Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
- Kaiser Permanente Mid Atlantic States, Rockville, MD, USA
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21
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Miller MJ, Eberhart LG, Jefferson CR, Horberg MA. Beyond Antiretroviral Treatment: Patterns and Factors Associated With Composite Medication Adherence Before and During the COVID-19 Pandemic in Patients With HIV With Multiple Chronic Conditions. J Acquir Immune Defic Syndr 2023; 92:405-413. [PMID: 36728856 DOI: 10.1097/qai.0000000000003154] [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: 02/03/2023]
Abstract
BACKGROUND Polypharmacy for multiple chronic conditions (MCCs) poses an increasing challenge in people with HIV (PWH). This research explores medication adherence in PWH with MCCs before and during COVID-19. SETTING Kaiser Permanente Mid-Atlantic States. METHODS Medical and pharmacy records of a continuously enrolled cohort (September 2018-September 2021) of adult PWH were used. To estimate medication adherence, monthly proportion of days covered (PDC) was measured individually for antiretrovirals (ARVs), diabetes medications (DMs), renin-angiotensin antagonists (RASMs), and statins (SMs) and combined into composite measures (CMs) with and without ARVs. Descriptive statistics, time-series models, and multivariable population-averaged panel general estimating equations were used to profile trends, effects, and factors associated with adherence. RESULTS The cohort (n = 543) was predominantly 51-64 years old (59.3%), Black (73.1%), male (69.2%), and commercially insured (65.4%). Two-thirds (63.7%) of patients were taking medications in 2 medication groups (ie, ARVs and either DMs, RASMs, or SMs), 28.9% were taking medications in 3 medication groups, and 7.4% were taking medications in all 4 medication groups. Overall, PDC for CMs without ARVs was 77.2% and 70.2% with ARVs. After March 2020, negative monthly trends in PDC were observed for CMs without ARVs (β = -0.1%, P = 0.003) and with ARVs (β = -0.3%, P = 0.001). For CMs with ARVs, Black race (aOR = 0.5; P < 0.001; ref: White) and taking medications for 3 medication groups (aOR = 0.8; P < 0.02; ref: 2) were associated with lower adherence. CONCLUSION Decreasing medication adherence trends were observed during the COVID-19 pandemic with variations among population subgroups. Opportunity exists to improve medication adherence for non-White populations and those taking medications for MCCs beyond ARVs.
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Affiliation(s)
- Michael J Miller
- Mid-Atlantic Permanente Research Institute (MAPRI), Rockville, MD
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22
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Muiru AN, Madden E, Scherzer R, Horberg MA, Silverberg MJ, Klein MB, Mayor AM, John Gill M, Napravnik S, Crane HM, Marconi VC, Koethe JR, Abraham AG, Althoff KN, Lucas GM, Moore RD, Shlipak MG, Estrella MM. Effect of Adopting the New Race-Free 2021 Chronic Kidney Disease Epidemiology Collaboration Estimated Glomerular Filtration Rate Creatinine Equation on Racial Differences in Kidney Disease Progression Among People With Human Immunodeficiency Virus: An Observational Study. Clin Infect Dis 2023; 76:461-468. [PMID: 36069064 PMCID: PMC10169400 DOI: 10.1093/cid/ciac731] [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: 03/24/2022] [Revised: 08/24/2022] [Accepted: 09/01/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The impact of adopting a race-free estimated glomerular filtration rate (eGFR) creatinine (eGFRcr) equation on racial differences in chronic kidney disease (CKD) progression among people with human immunodeficiency virus (PWH) is unknown. METHODS We defined eGFR stages using the original race-adjusted Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) eGFRcr equation and the new race-free CKD-EPI eGFRcr equation. We then estimated 5-year probabilities of transitioning from baseline kidney function to more advanced eGFR stages and examined the association of race (black vs white) with rates of CKD progression using Markov models. RESULTS With the race-adjusted eGFRcr equation, black participants (n = 31 298) had a lower risk of progressing from eGFR stage 1 to 2 (hazard ratio [HR], 0.77; 95% confidence interval [CI], .73-.82), an equal risk of progressing from stage 2 to 3 (1.00; .92-.07) and a 3-fold risk of progressing from stage 3 to 4 or 5 (3.06; 2.60-3.62), compared with white participants (n = 27 542). When we used the race-free eGFRcr equation, 16% of black participants were reclassified into a more severe eGFR stage at baseline. The reclassified black individuals had a higher prevalence of CKD risk factors than black PWH who were not reclassified. With the race-free eGFRcr equation, black participants had a higher risk of disease progression across all eGFR stages than white participants. CONCLUSIONS The original eGFRcr equation systematically masked a subgroup of black PWH who are at high-risk of CKD progression. The new race-free eGFRcr equation unmasks these individuals and may allow for earlier detection and management of CKD.
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Affiliation(s)
- Anthony N Muiru
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- Division of Nephrology, Department of Medicine, University of California, San Francisco, California, USA
| | - Erin Madden
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- San Francisco VA Health Care System, San Francisco, California, USA
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- San Francisco VA Health Care System, San Francisco, California, USA
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
| | | | - Marina B Klein
- Division of Infectious Diseases and Chronic Viral Illness Service, McGill University Health Centre, Montreal, Quebec, Canada
| | - Angel M Mayor
- Retrovirus Research Center, Internal Medicine Department, Universidad Central del Caribe, School of Medicine,Bayamon, Puerto Rico, USA
| | - M John Gill
- Department of Medicine, University of Calgary, Southern Alberta HIV Clinic, Calgary, Alberta, Canada
| | - Sonia Napravnik
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Heidi M Crane
- Division of Allergy and Infectious Diseases, Center for AIDS Research, University of Washington, Seattle, Washington, USA
| | - Vincent C Marconi
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - John R Koethe
- Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alison G Abraham
- Department of Epidemiology, School of Public Health University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Gregory M Lucas
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Richard D Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- San Francisco VA Health Care System, San Francisco, California, USA
| | - Michelle M Estrella
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- Division of Nephrology, Department of Medicine, University of California, San Francisco, California, USA
- San Francisco VA Health Care System, San Francisco, California, USA
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23
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Lang R, John Gill M, Coburn SB, Grossman J, Gebo KA, Horberg MA, Mayor AM, Silverberg MJ, Willig AL, Justice AC, Klein MB, Bosch RJ, Rabkin CS, Hogan B, Thorne JE, Moore RD, Althoff KN. The changing prevalence of anemia and risk factors in people with HIV in North America who have initiated ART, 2007-2017. AIDS 2023; 37:287-298. [PMID: 36541641 PMCID: PMC9782731 DOI: 10.1097/qad.0000000000003423] [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] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To characterize the prevalence of anemia and risk factors between 2007 and 2017 for moderate/severe anemia among people with HIV (PWH) in North America who have initiated antiretroviral therapy (ART). DESIGN Observational study of participants in the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). METHODS We estimated the annual prevalence between 1 January 2007 and 31 December 2017 of mild (11.0-12.9 g/dl men, 11.0-11.9 g/dl women), moderate (8.0-10.9 g/dl regardless of sex) and severe (<8.0 g/dl regardless of sex) anemia. Poisson regression models with robust variance and general estimating equations estimated crude and adjusted prevalence ratios (aPR) with 95% confidence intervals ([-]) comparing risk factors for moderate/severe vs. no/mild anemia between 2007 and 2017. RESULTS Among 73 898 PWH we observed 366 755 hemoglobin measurements following ART initiation, 37 301 (50%) had one or more measures of anemia during follow-up (mild = 17 743 [24%]; moderate = 13 383[18%]; severe = 6175 [8%]). Moderate/severe anemia was more prevalent among women, non-Hispanic Black and Hispanic PWH (vs. non-Hispanic white), those with underweight body mass index (<18.5 kg/m2) and with comorbidities and coinfections. Older age had increased prevalence of moderate/severe anemia among males and decreased prevalence among females. Prevalence of moderate/severe anemia was greater among those with lower CD4+ cell count (≤200 cells/μl) [aPR = 2.11 (2.06-2.17)] unsuppressed HIV viral load (>200 copies/ml) [aPR = 1.26 (1.23-1.29)] and within the first 6 months of ART initiation (vs. >1 year of ART) [aPR = 1.66 (1.61-1.72)]. CONCLUSION The prevalence of anemia among PWH is reduced after ART initiation but remains high. Risk factors differ by sex and include comorbidities and HIV disease severity. The persistent, substantial prevalence of anemia among PWH merits further investigation, targeted screening, and clinical interventions.
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Affiliation(s)
- Raynell Lang
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
- Department of Medicine, University of Calgary School of Medicine, Calgary, Alberta, Canada
| | - M John Gill
- Department of Medicine, University of Calgary School of Medicine, Calgary, Alberta, Canada
| | - Sally B. Coburn
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer Grossman
- Department of Medicine, University of Calgary School of Medicine, Calgary, Alberta, Canada
| | - Kelly A. Gebo
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
| | - Angel M. Mayor
- Retrovirus Research Center, Internal Medicine Department, Universidad Central del Caribe, Bayamon, Puerto Rico
| | | | - Amanda L. Willig
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Amy C. Justice
- Yale University Schools of Medicine and Public Health, New Haven CT, USA and Veterans Affairs Connecticut Healthcare System, West Haven, CT USA
| | | | | | - Charles S. Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Brenna Hogan
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer E. Thorne
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Richard D. Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
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24
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Lang R, Hogan B, Zhu J, McArthur K, Lee J, Zandi P, Nestadt P, Silverberg MJ, Parcesepe AM, Cook JA, Gill MJ, Grelotti D, Closson K, Lima VD, Goulet J, Horberg MA, Gebo KA, Camoens RM, Rebeiro PF, Nijhawan AE, McGinnis K, Eron J, Althoff KN. The prevalence of mental health disorders in people with HIV and the effects on the HIV care continuum. AIDS 2023; 37:259-269. [PMID: 36541638 PMCID: PMC9782734 DOI: 10.1097/qad.0000000000003420] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [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] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To describe the prevalence of diagnosed depression, anxiety, bipolar disorder, and schizophrenia in people with HIV (PWH) and the differences in HIV care continuum outcomes in those with and without mental health disorders (MHDs). DESIGN Observational study of participants in the North American AIDS Cohort Collaboration on Research and Design. METHODS PWH (≥18 years) contributed data on prevalent schizophrenia, anxiety, depressive, and bipolar disorders from 2008 to 2018 based on International Classification of Diseases code mapping. Mental health (MH) multimorbidity was defined as having two or more MHD. Log binomial models with generalized estimating equations estimated adjusted prevalence ratios (aPR) and 95% confidence intervals for retention in care (≥1 visit/year) and viral suppression (HIV RNA ≤200 copies/ml) by presence vs. absence of each MHD between 2016 and 2018. RESULTS Among 122 896 PWH, 67 643 (55.1%) were diagnosed with one or more MHD: 39% with depressive disorders, 28% with anxiety disorders, 10% with bipolar disorder, and 5% with schizophrenia. The prevalence of depressive and anxiety disorders increased between 2008 and 2018, whereas bipolar disorder and schizophrenia remained stable. MH multimorbidity affected 24% of PWH. From 2016 to 2018 (N = 64 684), retention in care was marginally lower among PWH with depression or anxiety, however those with MH multimorbidity were more likely to be retained in care. PWH with bipolar disorder had marginally lower prevalence of viral suppression (aPR = 0.98 [0.98-0.99]) as did PWH with MH multimorbidity (aPR = 0.99 [0.99-1.00]) compared with PWH without MHD. CONCLUSION The prevalence of MHD among PWH was high, including MH multimorbidity. Although retention and viral suppression were similar to people without MHD, viral suppression was lower in those with bipolar disorder and MH multimorbidity.
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Affiliation(s)
- Raynell Lang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Brenna Hogan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jiafeng Zhu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore
| | - Kristen McArthur
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore
| | - Jennifer Lee
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Peter Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Paul Nestadt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Angela M Parcesepe
- Department of Maternal and Child Health, Gillings School of Global Public Health and the Carolina Population Center, University of North Carolina Chapel Hill, Chapel Hill, North Carolina
| | - Judith A Cook
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
| | - M John Gill
- Department of Medicine, University of Calgary, Calgary, Canada
| | - David Grelotti
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Kalysha Closson
- School of Population and Public Health, University of British Columbia
| | - Viviane D Lima
- University of British Columbia & BC Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada
| | - Joseph Goulet
- Yale School of Medicine & VA Connecticut Healthcare System, West Haven, Connecticut
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville
| | - Kelly A Gebo
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Peter F Rebeiro
- Departments of Medicine & Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Ank E Nijhawan
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Kathleen McGinnis
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Joseph Eron
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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25
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Zalla LC, Cole SR, Eron JJ, Adimora AA, Vines AI, Althoff KN, Silverberg MJ, Horberg MA, Marconi VC, Coburn SB, Lang R, Williams EC, Gill MJ, Gebo KA, Klein M, Sterling TR, Rebeiro PF, Mayor AM, Moore RD, Edwards JK. Association of Race and Ethnicity With Initial Prescription of Antiretroviral Therapy Among People With HIV in the US. JAMA 2023; 329:52-62. [PMID: 36594946 PMCID: PMC9856806 DOI: 10.1001/jama.2022.23617] [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: 07/01/2022] [Accepted: 12/06/2022] [Indexed: 01/04/2023]
Abstract
Importance Integrase strand transfer inhibitor (INSTI)-containing antiretroviral therapy (ART) is currently the guideline-recommended first-line treatment for HIV. Delayed prescription of INSTI-containing ART may amplify differences and inequities in health outcomes. Objectives To estimate racial and ethnic differences in the prescription of INSTI-containing ART among adults newly entering HIV care in the US and to examine variation in these differences over time in relation to changes in treatment guidelines. Design, Setting, and Participants Retrospective observational study of 42 841 adults entering HIV care from October 12, 2007, when the first INSTI was approved by the US Food and Drug Administration, to April 30, 2019, at more than 200 clinical sites contributing to the North American AIDS Cohort Collaboration on Research and Design. Exposures Combined race and ethnicity as reported in patient medical records. Main Outcomes and Measures Probability of initial prescription of ART within 1 month of care entry and probability of being prescribed INSTI-containing ART. Differences among non-Hispanic Black and Hispanic patients compared with non-Hispanic White patients were estimated by calendar year and time period in relation to changes in national guidelines on the timing of treatment initiation and recommended initial treatment regimens. Results Of 41 263 patients with information on race and ethnicity, 19 378 (47%) as non-Hispanic Black, 6798 (16%) identified as Hispanic, and 13 539 (33%) as non-Hispanic White; 36 394 patients (85%) were male, and the median age was 42 years (IQR, 30 to 51). From 2007-2015, when guidelines recommended treatment initiation based on CD4+ cell count, the probability of ART initiation within 1 month of care entry was 45% among White patients, 45% among Black patients (difference, 0% [95% CI, -1% to 1%]), and 51% among Hispanic patients (difference, 5% [95% CI, 4% to 7%]). From 2016-2019, when guidelines strongly recommended treating all patients regardless of CD4+ cell count, this probability increased to 66% among White patients, 68% among Black patients (difference, 2% [95% CI, -1% to 5%]), and 71% among Hispanic patients (difference, 5% [95% CI, 1% to 9%]). INSTIs were prescribed to 22% of White patients and only 17% of Black patients (difference, -5% [95% CI, -7% to -4%]) and 17% of Hispanic patients (difference, -5% [95% CI, -7% to -3%]) from 2009-2014, when INSTIs were approved as initial therapy but were not yet guideline recommended. Significant differences persisted for Black patients (difference, -6% [95% CI, -8% to -4%]) but not for Hispanic patients (difference, -1% [95% CI, -4% to 2%]) compared with White patients from 2014-2017, when INSTI-containing ART was a guideline-recommended option for initial therapy; differences by race and ethnicity were not statistically significant from 2017-2019, when INSTI-containing ART was the single recommended initial therapy for most people with HIV. Conclusions and Relevance Among adults entering HIV care within a large US research consortium from 2007-2019, the 1-month probability of ART prescription was not significantly different across most races and ethnicities, although Black and Hispanic patients were significantly less likely than White patients to receive INSTI-containing ART in earlier time periods but not after INSTIs became guideline-recommended initial therapy for most people with HIV. Additional research is needed to understand the underlying racial and ethnic differences and whether the differences in prescribing were associated with clinical outcomes.
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Affiliation(s)
- Lauren C Zalla
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
- Now with Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Stephen R Cole
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Joseph J Eron
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill
| | - Adaora A Adimora
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill
| | - Anissa I Vines
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Keri N Althoff
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | | | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland
| | - Vincent C Marconi
- Division of Infectious Diseases, School of Medicine, Emory University, Atlanta, Georgia
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Sally B Coburn
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Raynell Lang
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Emily C Williams
- Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle
- Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, Washington
| | - M John Gill
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Kelly A Gebo
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Marina Klein
- Division of Infectious Diseases and Chronic Viral Illness Service, McGill University, Montreal, Quebec, Canada
| | - Timothy R Sterling
- Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Peter F Rebeiro
- Division of Epidemiology, School of Medicine, Vanderbilt University, Nashville, Tennessee
- Division of Infectious Diseases, School of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Angel M Mayor
- Clinical Research Center, Universidad Central del Caribe, Bayamón, Puerto Rico
| | - Richard D Moore
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jessie K Edwards
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
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26
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Coburn SB, Lang R, Zhang J, Palella FJ, Horberg MA, Castillo-Mancilla J, Gebo K, Galaviz KI, Gill MJ, Silverberg MJ, Hulgan T, Elion RA, Justice AC, Moore RD, Althoff KN. Statins Utilization in Adults With HIV: The Treatment Gap and Predictors of Statin Initiation. J Acquir Immune Defic Syndr 2022; 91:469-478. [PMID: 36053091 PMCID: PMC9649872 DOI: 10.1097/qai.0000000000003083] [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: 04/06/2022] [Accepted: 07/29/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND We characterized trends in statin eligibility and subsequent statin initiation among people with HIV (PWH) from 2001 to 2017 and identified predictors of statin initiation between 2014 and 2017. SETTING PWH participating in the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) enrolled in 12 US cohorts collecting data on statin eligibility criteria/prescriptions from 2001 to 2017. METHODS We determined the annual proportion eligible for statins, initiating statins, and median waiting time (from statin eligibility to initiation). Eligibility was defined using ATP III guidelines (2001-2013) and ACC/AHA guidelines (2014-2017). We assessed initiation predictors in 2014-2017 among statin-eligible PWH using Poisson regression, estimating adjusted prevalence ratios (aPRs) with 95% confidence intervals (95% CIs). RESULTS Among 16,409 PWH, 7386 (45%) met statin eligibility criteria per guidelines (2001-2017). From 2001 to 2013, statin eligibility ranged from 22% to 25%. Initiation increased from 13% to 45%. In 2014, 51% were statin-eligible, among whom 25% initiated statins, which increased to 32% by 2017. Median waiting time to initiation among those we observed declined over time. Per 10-year increase in age, initiation increased 46% (aPR 1.46, 95% CI: 1.29 to 1.67). Per 1-year increase in calendar year from 2014 to 2017, there was a 41% increase in the likelihood of statin initiation (aPR 1.41, 95% CI: 1.25 to 1.58). CONCLUSIONS There is a substantial statin treatment gap, amplified by the 2013 ACC/AHA guidelines. Measures are warranted to clarify reasons we observe this gap, and if necessary, increase statin use consistent with guidelines including efforts to help providers identify appropriate candidates.
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Affiliation(s)
- Sally B. Coburn
- Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, Baltimore, Maryland, USA
| | - Raynell Lang
- Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, Baltimore, Maryland, USA
- Cumming School of Medicine, University of Calgary,
Calgary, Alberta, Canada
| | - Jinbing Zhang
- Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, Baltimore, Maryland, USA
| | - Frank Joseph Palella
- Division of Infectious Diseases, Northwestern University
Feinberg School of Medicine, Chicago, Illinois, USA
| | | | - Jose Castillo-Mancilla
- Division of Infectious Disease, School of Medicine,
University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kelly Gebo
- School of Medicine, Johns Hopkins University, Baltimore,
Maryland, USA
| | - Karla I. Galaviz
- Department of Applied Health Science, Indiana University
School of Public Health-Bloomington, Bloomington, Indiana, USA
| | - M. John Gill
- Department of Medicine, University of Calgary, Calgary,
Canada
| | | | - Todd Hulgan
- Department of Medicine, Division of Infectious Diseases,
Vanderbilt University Medical Center, Nashville, TN, USA
| | - Richard A. Elion
- Department of Medicine, George Washington University
School of Medicine and Health Sciences, Washington, DC, USA
| | - Amy C. Justice
- Yale University Schools of Medicine and Public Health
and the Veterans Affairs Connecticut Healthcare System, New Haven, CT, USA
| | - Richard D. Moore
- School of Medicine, Johns Hopkins University, Baltimore,
Maryland, USA
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, Baltimore, Maryland, USA
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27
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Jefferson C, Watson E, Certa JM, Gordon KS, Park LS, D’Souza G, Benning L, Abraham AG, Agil D, Napravnik S, Silverberg MJ, Leyden WA, Skarbinski J, Williams C, Althoff KN, Horberg MA. Differences in COVID-19 testing and adverse outcomes by race, ethnicity, sex, and health system setting in a large diverse US cohort. PLoS One 2022; 17:e0276742. [PMID: 36417366 PMCID: PMC9683575 DOI: 10.1371/journal.pone.0276742] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 09/08/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Racial/ethnic disparities during the first six months of the COVID-19 pandemic led to differences in COVID-19 testing and adverse outcomes. We examine differences in testing and adverse outcomes by race/ethnicity and sex across a geographically diverse and system-based COVID-19 cohort collaboration. METHODS Observational study among adults (≥18 years) within six US cohorts from March 1, 2020 to August 31, 2020 using data from electronic health record and patient reporting. Race/ethnicity and sex as risk factors were primary exposures, with health system type (integrated health system, academic health system, or interval cohort) as secondary. Proportions measured SARS-CoV-2 testing and positivity; attributed hospitalization and death related to COVID-19. Relative risk ratios (RR) with 95% confidence intervals quantified associations between exposures and main outcomes. RESULTS 5,958,908 patients were included. Hispanic patients had the highest proportions of SARS-CoV-2 testing (16%) and positivity (18%), while Asian/Pacific Islander patients had the lowest portions tested (11%) and White patients had the lowest positivity rates (5%). Men had a lower likelihood of testing (RR = 0.90 [0.89-0.90]) and a higher positivity risk (RR = 1.16 [1.14-1.18]) compared to women. Black patients were more likely to have COVID-19-related hospitalizations (RR = 1.36 [1.28-1.44]) and death (RR = 1.17 [1.03-1.32]) compared with White patients. Men were more likely to be hospitalized (RR = 1.30 [1.16-1.22]) or die (RR = 1.70 [1.53-1.89]) compared to women. These racial/ethnic and sex differences were reflected in both health system types. CONCLUSIONS This study supports evidence of disparities by race/ethnicity and sex during the COVID-19 pandemic that persisted even in healthcare settings with reduced barriers to accessing care. Further research is needed to understand and prevent the drivers that resulted in higher burdens of morbidity among certain Black patients and men.
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Affiliation(s)
- Celeena Jefferson
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, Maryland, United States of America
| | - Eric Watson
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, Maryland, United States of America
- * E-mail:
| | - Julia M. Certa
- United Health Group, Fredrick, Maryland, United States of America
| | - Kirsha S. Gordon
- Yale School of Medicine, Department of General Internal Medicine, New Haven, Connecticut, United States of America
- VA Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Lesley S. Park
- Stanford Center for Population Health Sciences, Stanford University School of Medicine, Palo Alto, California, United States of America
| | - Gypsyamber D’Souza
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Lorie Benning
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Alison G. Abraham
- Department of Epidemiology, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, United States of America
| | - Deana Agil
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Sonia Napravnik
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Michael J. Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - Wendy A. Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - Jacek Skarbinski
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - Carolyn Williams
- Division of AIDS, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, United States of America
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, Maryland, United States of America
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Horberg MA, Watson E, Bhatia M, Jefferson C, Certa JM, Kim S, Fathi L, Althoff KN, Williams C, Moore R. Post-acute sequelae of SARS-CoV-2 with clinical condition definitions and comparison in a matched cohort. Nat Commun 2022; 13:5822. [PMID: 36224218 PMCID: PMC9556630 DOI: 10.1038/s41467-022-33573-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [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: 06/22/2022] [Accepted: 09/22/2022] [Indexed: 11/25/2022] Open
Abstract
Disease characterization of Post-Acute Sequelae of SARS-CoV-2 (PASC) does not account for pre-existing conditions and time course of incidence. We utilized longitudinal data and matching to a COVID PCR-negative population to discriminate PASC conditions over time within our patient population during 2020. Clinical Classification Software was used to identify PASC condition groupings. Conditions were specified acute and persistent (occurring 0-30 days post COVID PCR and persisted 30-120 days post-test) or late (occurring initially 30-120 days post-test). We matched 3:1 COVID PCR-negative COVIDPCR-positive by age, sex, testing month and service area, controlling for pre-existing conditions up to four years prior; 28,118 PCR-positive to 70,293 PCR-negative patients resulted. We estimated PASC risk from the matched cohort. Risk of any PASC condition was 12% greater for PCR-positive patients in the late period with a significantly higher risk of anosmia, cardiac dysrhythmia, diabetes, genitourinary disorders, malaise, and nonspecific chest pain. Our findings contribute to a more refined PASC definition which can enhance clinical care.
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Affiliation(s)
- Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, MD, 20852, USA.
| | - Eric Watson
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, MD, 20852, USA
| | - Mamta Bhatia
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, MD, 20852, USA
| | - Celeena Jefferson
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, MD, 20852, USA
| | | | - Seohyun Kim
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, MD, 20852, USA
| | - Lily Fathi
- Kaiser Permanente Mid-Atlantic Permanente Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, MD, 20852, USA
| | | | - Carolyn Williams
- National Institute of Allergy and Infectious Diseases, National Institute of Health, Rockville, MD, 20892, USA
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Lang R, Humes E, Hogan B, Lee J, D'Agostino R, Massaro J, Kim A, Meigs JB, Borowsky L, He W, Lyass A, Cheng D, Kim HN, Klein MB, Cachay ER, Bosch RJ, Gill MJ, Silverberg MJ, Thorne JE, McGinnis K, Horberg MA, Sterling TR, Triant VA, Althoff KN. Evaluating the Cardiovascular Risk in an Aging Population of People With HIV: The Impact of Hepatitis C Virus Coinfection. J Am Heart Assoc 2022; 11:e026473. [PMID: 36129038 PMCID: PMC9673707 DOI: 10.1161/jaha.122.026473] [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: 11/16/2022]
Abstract
Background People with HIV (PWH) are at an increased risk of cardiovascular disease (CVD) with an unknown added impact of hepatitis C virus (HCV) coinfection. We aimed to identify whether HCV coinfection increases the risk of type 1 myocardial infarction (T1MI) and if the risk differs by age. Methods and Results We used data from NA-ACCORD (North American AIDS Cohort Collaboration on Research and Design) from January 1, 2000, to December 31, 2017, PWH (aged 40-79 years) who had initiated antiretroviral therapy. The primary outcome was an adjudicated T1MI event. Those who started direct-acting HCV antivirals were censored at the time of initiation. Crude incidence rates per 1000 person-years were calculated for T1MI by calendar time. Discrete time-to-event analyses with complementary log-log models were used to estimate adjusted hazard ratios and 95% CIs for T1MI among those with and without HCV. Among 23 361 PWH, 4677 (20%) had HCV. There were 89 (1.9%) T1MIs among PWH with HCV and 314 (1.7%) among PWH without HCV. HCV was not associated with increased T1MI risk in PWH (adjusted hazard ratio, 0.98 [95% CI, 0.74-1.30]). However, the risk of T1MI increased with age and was amplified in those with HCV (adjusted hazard ratio per 10-year increase in age, 1.85 [95% CI, 1.38-2.48]) compared with those without HCV (adjusted hazard ratio per 10-year increase in age,1.30 [95% CI, 1.13-1.50]; P<0.001, test of interaction). Conclusions HCV coinfection was not significantly associated with increased T1MI risk; however, the risk of T1MI with increasing age was greater in those with HCV compared with those without, and HCV status should be considered when assessing CVD risk in aging PWH.
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Affiliation(s)
- Raynell Lang
- Department of MedicineUniversity of CalgaryCalgaryAlbertaCanada
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
| | - Elizabeth Humes
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
| | - Brenna Hogan
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
| | - Jennifer Lee
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
| | - Ralph D'Agostino
- Department of Mathematics and StatisticsBoston UniversityBostonMA
| | - Joseph Massaro
- Department of BiostatisticsBoston University School of Public HealthBostonMA
| | - Arthur Kim
- Division of Infectious DiseasesMassachusetts General HospitalBostonMA
- Harvard Medical SchoolBostonMA
| | - James B. Meigs
- Harvard Medical SchoolBostonMA
- Division of General Internal MedicineMassachusetts General HospitalBostonMA
| | - Leila Borowsky
- Division of General Internal MedicineMassachusetts General HospitalBostonMA
| | - Wei He
- Division of General Internal MedicineMassachusetts General HospitalBostonMA
| | - Asya Lyass
- Department of Mathematics and StatisticsBoston UniversityBostonMA
| | - David Cheng
- Biostatistics CenterMassachusetts General HospitalBostonMA
| | | | | | - Edward R. Cachay
- Department of Medicine, Division of Infectious Diseases and Global Public HealthUniversity of CaliforniaSan DiegoCA
| | | | - M. John Gill
- Department of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | | | | | | | | | | | - Virginia A. Triant
- Division of Infectious DiseasesMassachusetts General HospitalBostonMA
- Division of General Internal MedicineMassachusetts General HospitalBostonMA
| | - Keri N. Althoff
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
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30
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Lang R, Humes E, Coburn SB, Horberg MA, Fathi LF, Watson E, Jefferson CR, Park LS, Gordon KS, Akgün KM, Justice AC, Napravnik S, Edwards JK, Browne LE, Agil DM, Silverberg MJ, Skarbinski J, Leyden WA, Stewart C, Hogan BC, Gebo KA, Marconi VC, Williams CF, Althoff KN. Analysis of Severe Illness After Postvaccination COVID-19 Breakthrough Among Adults With and Without HIV in the US. JAMA Netw Open 2022; 5:e2236397. [PMID: 36227594 PMCID: PMC9561947 DOI: 10.1001/jamanetworkopen.2022.36397] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Understanding the severity of postvaccination SARS-CoV-2 (ie, COVID-19) breakthrough illness among people with HIV (PWH) can inform vaccine guidelines and risk-reduction recommendations. OBJECTIVE To estimate the rate and risk of severe breakthrough illness among vaccinated PWH and people without HIV (PWoH) who experience a breakthrough infection. DESIGN, SETTING, AND PARTICIPANTS In this cohort study, the Corona-Infectious-Virus Epidemiology Team (CIVET-II) collaboration included adults (aged ≥18 years) with HIV who were receiving care and were fully vaccinated by June 30, 2021, along with PWoH matched according to date fully vaccinated, age group, race, ethnicity, and sex from 4 US integrated health systems and academic centers. Those with postvaccination COVID-19 breakthrough before December 31, 2021, were eligible. EXPOSURES HIV infection. MAIN OUTCOMES AND MEASURES The main outcome was severe COVID-19 breakthrough illness, defined as hospitalization within 28 days after a breakthrough SARS-CoV-2 infection with a primary or secondary COVID-19 discharge diagnosis. Discrete time proportional hazards models estimated adjusted hazard ratios (aHRs) and 95% CIs of severe breakthrough illness within 28 days of breakthrough COVID-19 by HIV status adjusting for demographic variables, COVID-19 vaccine type, and clinical factors. The proportion of patients who received mechanical ventilation or died was compared by HIV status. RESULTS Among 3649 patients with breakthrough COVID-19 (1241 PWH and 2408 PWoH), most were aged 55 years or older (2182 patients [59.8%]) and male (3244 patients [88.9%]). The cumulative incidence of severe illness in the first 28 days was low and comparable between PWoH and PWH (7.3% vs 6.7%; risk difference, -0.67%; 95% CI, -2.58% to 1.23%). The risk of severe breakthrough illness was 59% higher in PWH with CD4 cell counts less than 350 cells/μL compared with PWoH (aHR, 1.59; 95% CI, 0.99 to 2.46; P = .049). In multivariable analyses among PWH, being female, older, having a cancer diagnosis, and lower CD4 cell count were associated with increased risk of severe breakthrough illness, whereas previous COVID-19 was associated with reduced risk. Among 249 hospitalized patients, 24 (9.6%) were mechanically ventilated and 20 (8.0%) died, with no difference by HIV status. CONCLUSIONS AND RELEVANCE In this cohort study, the risk of severe COVID-19 breakthrough illness within 28 days of a breakthrough infection was low among vaccinated PWH and PWoH. PWH with moderate or severe immune suppression had a higher risk of severe breakthrough infection and should be included in groups prioritized for additional vaccine doses and risk-reduction strategies.
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Affiliation(s)
- Raynell Lang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Elizabeth Humes
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Sally B. Coburn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Lily F. Fathi
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Eric Watson
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Celeena R. Jefferson
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Lesley S. Park
- Stanford Center for Population Health Sciences, Palo Alto, California
| | - Kirsha S. Gordon
- VA Connecticut Healthcare System, West Haven
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Kathleen M. Akgün
- VA Connecticut Healthcare System, West Haven
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Amy C. Justice
- VA Connecticut Healthcare System, West Haven
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Sonia Napravnik
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill
| | - Jessie K. Edwards
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill
| | - Lindsay E. Browne
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill
| | - Deana M. Agil
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill
| | | | - Jacek Skarbinski
- Division of Research, Kaiser Permanente Northern California, Oakland
- Department of Infectious Diseases, Oakland Medical Center, Oakland, California
| | - Wendy A. Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Cameron Stewart
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Brenna C. Hogan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kelly A. Gebo
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Vincent C. Marconi
- Emory University School of Medicine, Atlanta, Georgia
- Rollins School of Public Health, Atlanta, Georgia
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia
| | - Carolyn F. Williams
- Epidemiology Branch, Division of AIDS at National Institute of Allergy and Infectious Diseases, National Institute of Health, Rockville, Maryland
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Coleman KJ, Wellman R, Fitzpatrick SL, Conroy MB, Hlavin C, Lewis KH, Coley RY, McTigue KM, Tobin JN, McBride CL, Desai JR, Clark JM, Toh S, Sturtevant JL, Horgan CE, Duke MC, Williams N, Anau J, Horberg MA, Michalsky MP, Cook AJ, Arterburn DE, Apovian CM. Comparative Safety and Effectiveness of Roux-en-Y Gastric Bypass and Sleeve Gastrectomy for Weight Loss and Type 2 Diabetes Across Race and Ethnicity in the PCORnet Bariatric Study Cohort. JAMA Surg 2022; 157:897-906. [PMID: 36044239 PMCID: PMC9434478 DOI: 10.1001/jamasurg.2022.3714] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 06/02/2022] [Indexed: 11/14/2022]
Abstract
Importance Bariatric surgery is the most effective treatment for severe obesity; yet it is unclear whether the long-term safety and comparative effectiveness of these operations differ across racial and ethnic groups. Objective To compare outcomes of Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) across racial and ethnic groups in the National Patient-Centered Clinical Research Network (PCORnet) Bariatric Study. Design, Setting, and Participants This was a retrospective, observational, comparative effectiveness cohort study that comprised 25 health care systems in the PCORnet Bariatric Study. Patients were adults and adolescents aged 12 to 79 years who underwent a primary (first nonrevisional) RYGB or SG operation between January 1, 2005, and September 30, 2015, at participating health systems. Patient race and ethnicity included Black, Hispanic, White, other, and unrecorded. Data were analyzed from July 1, 2021, to January 17, 2022. Exposure RYGB or SG. Outcomes Percentage total weight loss (%TWL); type 2 diabetes remission, relapse, and change in hemoglobin A1c (HbA1c) level; and postsurgical safety and utilization outcomes (operations, interventions, revisions/conversions, endoscopy, hospitalizations, mortality, 30-day major adverse events) at 1, 3, and 5 years after surgery. Results A total of 36 871 patients (mean [SE] age, 45.0 [11.7] years; 29 746 female patients [81%]) were included in the weight analysis. Patients identified with the following race and ethnic categories: 6891 Black (19%), 8756 Hispanic (24%), 19 645 White (53%), 826 other (2%), and 783 unrecorded (2%). Weight loss and mean reductions in HbA1c level were larger for RYGB than SG in all years for Black, Hispanic, and White patients (difference in 5-year weight loss: Black, -7.6%; 95% CI, -8.0 to -7.1; P < .001; Hispanic, -6.2%; 95% CI, -6.6 to -5.9; P < .001; White, -5.9%; 95% CI, -6.3 to -5.7; P < .001; difference in change in year 5 HbA1c level: Black, -0.29; 95% CI, -0.51 to -0.08; P = .009; Hispanic, -0.45; 95% CI, -0.61 to -0.29; P < .001; and White, -0.25; 95% CI, -0.40 to -0.11; P = .001.) The magnitude of these differences was small among racial and ethnic groups (1%-3% of %TWL). Black and Hispanic patients had higher risk of hospitalization when they had RYGB compared with SG (hazard ratio [HR], 1.45; 95% CI, 1.17-1.79; P = .001 and 1.48; 95% CI, 1.22-1.79; P < .001, respectively). Hispanic patients had greater risk of all-cause mortality (HR, 2.41; 95% CI, 1.24-4.70; P = .01) and higher odds of a 30-day major adverse event (odds ratio, 1.92; 95% CI, 1.38-2.68; P < .001) for RYGB compared with SG. There was no interaction between race and ethnicity and operation type for diabetes remission and relapse. Conclusions and Relevance Variability of the comparative effectiveness of operations for %TWL and HbA1c level across race and ethnicity was clinically small; however, differences in safety and utilization outcomes were clinically and statistically significant for Black and Hispanic patients who had RYGB compared with SG. These findings can inform shared decision-making regarding bariatric operation choice for different racial and ethnic groups of patients.
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Affiliation(s)
- Karen J. Coleman
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena
| | - Robert Wellman
- Kaiser Permanente Washington Health Research Institute, Seattle
| | | | | | - Callie Hlavin
- Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Kristina H. Lewis
- Departments of Epidemiology & Prevention, and Implementation Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - R. Yates Coley
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Kathleen M. McTigue
- Departments of Medicine and Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jonathan N. Tobin
- Clinical Directors Network and The Rockefeller University Center for Clinical and Translational Science, New York, New York
| | | | - Jay R. Desai
- HealthPartners Institute, Minneapolis, Minnesota
| | - Jeanne M. Clark
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sengwee Toh
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
| | - Jessica L. Sturtevant
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
| | - Casie E. Horgan
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
| | | | | | - Jane Anau
- Kaiser Permanente Washington Health Research Institute, Seattle
| | | | | | - Andrea J. Cook
- Kaiser Permanente Washington Health Research Institute, Seattle
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32
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Lam JO, Leyden WA, Leong TK, Horberg MA, Reynolds K, Ambrosy AP, Avula HR, Hechter RC, Towner WJ, Vupputuri S, Go AS, Silverberg MJ. Variation in Heart Failure Risk by HIV Severity and Sex in People With HIV Infection. J Acquir Immune Defic Syndr 2022; 91:175-181. [PMID: 36094484 PMCID: PMC9471068 DOI: 10.1097/qai.0000000000003032] [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: 01/20/2022] [Accepted: 05/16/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND HIV is an independent risk factor for heart failure (HF). However, the association of HIV severity with incident HF and the potential interaction with sex are incompletely understood. SETTING Integrated health care system. METHODS We conducted a cohort study of people with HIV (PWH) and matched people without HIV (PWoH), all aged ≥ 21 years and with no previous HF. Poisson regression was used to compare incident HF by HIV status, with PWH stratified by severity of HIV infection [defined by recent (<6 months) CD4 count, nadir CD4 count, or recent HIV RNA level]. Models were adjusted for sociodemographic characteristics, substance use, and HF risk factors. Analyses were conducted for men and women combined, then by sex. RESULTS The study included 38,868 PWH and 386,569 PWoH (mean baseline age = 41.0 ± 10.8 years; 88% men). Compared with PWoH, incident HF risk was higher among PWH with lower recent CD4 [200-499 cells/µL, adjusted rate ratio (aRR) = 1.82, 95% confidence interval (CI) = 1.50 to 2.21 and <200 cells/µL, aRR = 3.26 (2.47 to 4.30)] and a low nadir CD4 [<200 cells/µL, aRR = 1.56 (1.37 to 1.79)] but not among PWH with normal CD4 [≥500 cells/µL, aRR = 1.14 (0.90 to 1.44)]. Higher incident HF risk was observed among PWH at all HIV RNA levels, with greater HF risk at higher HIV RNA levels. The excess HF risk associated with low CD4 (recent or nadir) and high HIV RNA was stronger among women than men (P interactions=0.05, 0.08, and 0.01, respectively). CONCLUSIONS Given the association of HIV severity with HF, optimizing HIV treatment and management may be important for HF prevention among PWH.
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Affiliation(s)
- Jennifer O Lam
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Wendy A Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Thomas K Leong
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD
| | - Kristi Reynolds
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
| | - Andrew P Ambrosy
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
- Department of Cardiology, Kaiser Permanente Northern California, San Francisco Medical Center, San Francisco, CA
| | - Harshith R Avula
- Department of Cardiology, Dublin Medical Offices, Kaiser Permanente Northern California, Dublin, CA
- Department of Cardiology, Walnut Creek Medical Center, Kaiser Permanente Northern California, Walnut Creek, CA
| | - Rulin C Hechter
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
| | - William J Towner
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
- Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA; and
| | - Suma Vupputuri
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD
| | - Alan S Go
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
- Departments of Epidemiology, Biostatistics, and Medicine, University of California, San Francisco, San Francisco, CA
| | - Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
- Departments of Epidemiology, Biostatistics, and Medicine, University of California, San Francisco, San Francisco, CA
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Edwards JK, Cole SR, Breger TL, Filiatreau LM, Zalla L, Mulholland GE, Horberg MA, Silverberg MJ, John Gill M, Rebeiro PF, Thorne JE, Kasaie P, Marconi VC, Sterling TR, Althoff KN, Moore RD, Eron JJ. Five-Year Mortality for Adults Entering Human Immunodeficiency Virus Care Under Universal Early Treatment Compared With the General US Population. Clin Infect Dis 2022; 75:867-874. [PMID: 34983066 PMCID: PMC9477443 DOI: 10.1093/cid/ciab1030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 12/10/2021] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Mortality among adults with human immunodeficiency virus (HIV) remains elevated over those in the US general population, even in the years after entry into HIV care. We explore whether the elevation in 5-year mortality would have persisted if all adults with HIV had initiated antiretroviral therapy within 3 months of entering care. METHODS Among 82 766 adults entering HIV care at North American AIDS Cohort Collaboration clinical sites in the United States, we computed mortality over 5 years since entry into HIV care under observed treatment patterns. We then used inverse probability weights to estimate mortality under universal early treatment. To compare mortality with those for similar individuals in the general population, we used National Center for Health Statistics data to construct a cohort representing the subset of the US population matched to study participants on key characteristics. RESULTS For the entire study period (1999-2017), the 5-year mortality among adults with HIV was 7.9% (95% confidence interval [CI]: 7.6%-8.2%) higher than expected based on the US general population. Under universal early treatment, the elevation in mortality for people with HIV would have been 7.2% (95% CI: 5.8%-8.6%). In the most recent calendar period examined (2011-2017), the elevation in mortality for people with HIV was 2.6% (95% CI: 2.0%-3.3%) under observed treatment patterns and 2.1% (.0%-4.2%) under universal early treatment. CONCLUSIONS Expanding early treatment may modestly reduce, but not eliminate, the elevation in mortality for people with HIV.
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Affiliation(s)
- Jessie K Edwards
- Department of Epidemiology, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Stephen R Cole
- Department of Epidemiology, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Tiffany L Breger
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lindsey M Filiatreau
- Department of Epidemiology, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Lauren Zalla
- Department of Epidemiology, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Grace E Mulholland
- Department of Epidemiology, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Michael A Horberg
- Kaiser Permanent Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
| | | | - M John Gill
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Peter F Rebeiro
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jennifer E Thorne
- School of Medicine, Johns Hopkins University, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Parastu Kasaie
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Vincent C Marconi
- School of Medicine, and Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Timothy R Sterling
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USAand
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Richard D Moore
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Joseph J Eron
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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McGinnis KA, Justice AC, Moore RD, Silverberg MJ, Althoff KN, Karris M, Lima VD, Crane HM, Horberg MA, Klein MB, Gange SJ, Gebo KA, Mayor A, Tate JP. Discrimination and Calibration of the Veterans Aging Cohort Study Index 2.0 for Predicting Mortality Among People With Human Immunodeficiency Virus in North America. Clin Infect Dis 2022; 75:297-304. [PMID: 34609485 PMCID: PMC9410720 DOI: 10.1093/cid/ciab883] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The updated Veterans Aging Cohort Study (VACS) Index 2.0 combines general and human immunodeficiency virus (HIV)-specific biomarkers to generate a continuous score that accurately discriminates risk of mortality in diverse cohorts of persons with HIV (PWH), but a score alone is difficult to interpret. Using data from the North American AIDS Cohort Collaboration (NA-ACCORD), we translate VACS Index 2.0 scores into validated probability estimates of mortality. METHODS Because complete mortality ascertainment is essential for accurate calibration, we restricted analyses to cohorts with mortality from the National Death Index or equivalent sources. VACS Index 2.0 components were ascertained from October 1999 to April 2018. Mortality was observed up to March 2019. Calibration curves compared predicted (estimated by fitting a gamma model to the score) to observed mortality overall and within subgroups: cohort (VACS/NA-ACCORD subset), sex, age <50 or ≥50 years, race/ethnicity, HIV-1 RNA ≤500 or >500 copies/mL, CD4 count <350 or ≥350 cells/µL, and years 1999-2009 or 2010-2018. Because mortality rates have decreased over time, the final model was limited to 2010-2018. RESULTS Among 37230 PWH in VACS and 8061 PWH in the NA-ACCORD subset, median age was 53 and 44 years; 3% and 19% were women; and 48% and 39% were black. Discrimination in NA-ACCORD (C-statistic = 0.842 [95% confidence interval {CI}, .830-.854]) was better than in VACS (C-statistic = 0.813 [95% CI, .809-.817]). Predicted and observed mortality largely overlapped in VACS and the NA-ACCORD subset, overall and within subgroups. CONCLUSIONS Based on this validation, VACS Index 2.0 can reliably estimate probability of all-cause mortality, at various follow-up times, among PWH in North America.
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Affiliation(s)
- Kathleen A McGinnis
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Amy C Justice
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Yale Schools of Medicine and Public Health, New Haven, Connecticut, USA
| | | | | | | | - Maile Karris
- University of California, San Diego, San Diego, California, USA
| | | | | | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
| | | | | | - Kelly A Gebo
- Johns Hopkins University, Baltimore, Maryland, USA
| | - Angel Mayor
- Universidad Central del Caribe, Bayamon, Puerto Rico, USA
| | - Janet P Tate
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Yale School of Medicine, New Haven, Connecticut, USA
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Castilho JL, Bian A, Jenkins CA, Shepherd BE, Sigel K, Gill MJ, Kitahata MM, Silverberg MJ, Mayor AM, Coburn SB, Wiley D, Achenbach CJ, Marconi VC, Bosch RJ, Horberg MA, Rabkin CS, Napravnik S, Novak RM, Mathews WC, Thorne JE, Sun J, Althoff KN, Moore RD, Sterling TR, Sudenga SL. CD4/CD8 Ratio and Cancer Risk Among Adults With HIV. J Natl Cancer Inst 2022; 114:854-862. [PMID: 35292820 PMCID: PMC9194634 DOI: 10.1093/jnci/djac053] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 12/10/2021] [Accepted: 03/07/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Independent of CD4 cell count, a low CD4/CD8 ratio in people with HIV (PWH) is associated with deleterious immune senescence, activation, and inflammation, which may contribute to carcinogenesis and excess cancer risk. We examined whether low CD4/CD8 ratios predicted cancer among PWH in the United States and Canada. METHODS We examined all cancer-free PWH with 1 or more CD4/CD8 values from North American AIDS Cohort Collaboration on Research and Design observational cohorts with validated cancer diagnoses between 1998 and 2016. We evaluated the association between time-lagged CD4/CD8 ratio and risk of specific cancers in multivariable, time-updated Cox proportional hazard models using restricted cubic spines. Models were adjusted for age, sex, race and ethnicity, hepatitis C virus, and time-updated CD4 cell count, HIV RNA, and history of AIDS-defining illness. RESULTS Among 83 893 PWH, there were 5628 incident cancers, including lung cancer (n = 755), Kaposi sarcoma (n = 501), non-Hodgkin lymphoma (n = 497), and anal cancer (n = 439). The median age at cohort entry was 43 years. The overall median 6-month lagged CD4/CD8 ratio was 0.52 (interquartile range = 0.30-0.82). Compared with a 6-month lagged CD4/CD8 of 0.80, a CD4/CD8 of 0.30 was associated with increased risk of any incident cancer (adjusted hazard ratio = 1.24 [95% confidence interval = 1.14 to 1.35]). The CD4/CD8 ratio was also inversely associated with non-Hodgkin lymphoma, Kaposi sarcoma, lung cancer, anal cancer, and colorectal cancer in adjusted analyses (all 2-sided P < .05). Results were similar using 12-, 18-, and 24-month lagged CD4/CD8 values. CONCLUSIONS A low CD4/CD8 ratio up to 24 months before cancer diagnosis was independently associated with increased cancer risk in PWH and may serve as a clinical biomarker.
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Affiliation(s)
- Jessica L Castilho
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Aihua Bian
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cathy A Jenkins
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bryan E Shepherd
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Keith Sigel
- Division of Infectious Diseases, Department of Medicine, Mount Sinai School of Medicine, New York, NY, USA
| | - M John Gill
- Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Mari M Kitahata
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Angel M Mayor
- Retrovirus Research Center, Internal Medicine Department, Universidad Central del Caribe School of Medicine, Bayamón, PR, USA
| | - Sally B Coburn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Dorothy Wiley
- School of Nursing, University of California Los Angeles, Los Angeles, CA, USA
| | - Chad J Achenbach
- Division of Infectious Diseases, Department of Medicine, Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | - Vincent C Marconi
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine and Rollins School of Public Health, Atlanta, GA, USA
| | - Ronald J Bosch
- Department of Biostatistics, T.H. Chan Harvard School of Public Health, Boston, MA, USA
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Medical Group and Research Institute, Washington, DC, USA
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, Infections and Immunoepidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Sonia Napravnik
- Division of Infectious Diseases, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Richard M Novak
- Division of Infectious Diseases, Department of Medicine, University of Illinois Chicago School of Medicine, Chicago, IL, USA
| | - W Christopher Mathews
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Jennifer E Thorne
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jing Sun
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Richard D Moore
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Timothy R Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Staci L Sudenga
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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Coburn SB, Humes E, Lang R, Stewart C, Hogan BC, Gebo KA, Napravnik S, Edwards JK, Browne LE, Park LS, Justice AC, Gordon KS, Horberg MA, Certa JM, Watson E, Jefferson CR, Silverberg MJ, Skarbinski J, Leyden WA, Williams CF, Althoff KN. Analysis of Postvaccination Breakthrough COVID-19 Infections Among Adults With HIV in the United States. JAMA Netw Open 2022; 5:e2215934. [PMID: 35671054 PMCID: PMC9175076 DOI: 10.1001/jamanetworkopen.2022.15934] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 04/21/2022] [Indexed: 02/02/2023] Open
Abstract
Importance Recommendations for additional doses of COVID-19 vaccines for people with HIV (PWH) are restricted to those with advanced disease or unsuppressed HIV viral load. Understanding SARS-CoV-2 infection risk after vaccination among PWH is essential for informing vaccination guidelines. Objective To estimate the rate and risk of breakthrough infections among fully vaccinated PWH and people without HIV (PWoH) in the United States. Design, Setting, and Participants This cohort study used the Corona-Infectious-Virus Epidemiology Team (CIVET)-II (of the North American AIDS Cohort Collaboration on Research and Design [NA-ACCORD], which is part of the International Epidemiology Databases to Evaluate AIDS [IeDEA]), collaboration of 4 prospective, electronic health record-based cohorts from integrated health systems and academic health centers. Adult PWH who were fully vaccinated prior to June 30, 2021, were matched with PWoH on date of full vaccination, age, race and ethnicity, and sex and followed up through December 31, 2021. Exposures HIV infection. Main Outcomes and Measures COVID-19 breakthrough infections, defined as laboratory evidence of SARS-CoV-2 infection or COVID-19 diagnosis after a patient was fully vaccinated. Results Among 113 994 patients (33 029 PWH and 80 965 PWoH), most were 55 years or older (80 017 [70%]) and male (104 967 [92%]); 47 098 (41%) were non-Hispanic Black, and 43 218 (38%) were non-Hispanic White. The rate of breakthrough infections was higher in PWH vs PWoH (55 [95% CI, 52-58] cases per 1000 person-years vs 43 [95% CI, 42-45] cases per 1000 person-years). Cumulative incidence of breakthroughs 9 months after full vaccination was low (3.8% [95% CI, 3.7%-3.9%]), albeit higher in PWH vs PWoH (4.4% vs 3.5%; log-rank P < .001; risk difference, 0.9% [95% CI, 0.6%-1.2%]) and within each vaccine type. Breakthrough infection risk was 28% higher in PWH vs PWoH (adjusted hazard ratio, 1.28 [95% CI, 1.19-1.37]). Among PWH, younger age (<45 y vs 45-54 y), history of COVID-19, and not receiving an additional dose (aHR, 0.71 [95% CI, 0.58-0.88]) were associated with increased risk of breakthrough infections. There was no association of breakthrough with HIV viral load suppression, but high CD4 count (ie, ≥500 cells/mm3) was associated with fewer breakthroughs among PWH. Conclusions and Relevance In this study, COVID-19 vaccination, especially with an additional dose, was effective against infection with SARS-CoV-2 strains circulating through December 31, 2021. PWH had an increased risk of breakthrough infections compared with PWoH. Expansion of recommendations for additional vaccine doses to all PWH should be considered.
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Affiliation(s)
- Sally B. Coburn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Elizabeth Humes
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Raynell Lang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Cameron Stewart
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Brenna C. Hogan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kelly A. Gebo
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Sonia Napravnik
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill
- Department of Epidemiology, University of North Carolina at Chapel Hill
| | - Jessie K. Edwards
- Department of Epidemiology, University of North Carolina at Chapel Hill
| | - Lindsay E. Browne
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill
| | - Lesley S. Park
- Stanford Center for Population Health Sciences, Palo Alto, California
| | - Amy C. Justice
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
- VA Connecticut Healthcare System, West Haven
| | - Kirsha S. Gordon
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
- VA Connecticut Healthcare System, West Haven
| | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Julia M. Certa
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Eric Watson
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Celeena R. Jefferson
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | | | - Jacek Skarbinski
- Division of Research, Kaiser Permanente Northern California, Oakland
- Department of Infectious Diseases, Oakland Medical Center, Oakland, California
| | - Wendy A. Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Carolyn F. Williams
- Epidemiology Branch, Division of AIDS at National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Lapham GT, Matson TE, Carrell DS, Bobb JF, Luce C, Oliver MM, Ghitza UE, Hsu C, Browne KC, Binswanger IA, Campbell CI, Saxon AJ, Vandrey R, Schauer GL, Pacula RL, Horberg MA, Bailey SR, McClure EA, Bradley KA. Comparison of Medical Cannabis Use Reported on a Confidential Survey vs Documented in the Electronic Health Record Among Primary Care Patients. JAMA Netw Open 2022; 5:e2211677. [PMID: 35604691 PMCID: PMC9127557 DOI: 10.1001/jamanetworkopen.2022.11677] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/23/2022] [Indexed: 12/18/2022] Open
Abstract
Importance Patients who use cannabis for medical reasons may benefit from discussions with clinicians about health risks of cannabis and evidence-based treatment alternatives. However, little is known about the prevalence of medical cannabis use in primary care and how often it is documented in patient electronic health records (EHR). Objective To estimate the primary care prevalence of medical cannabis use according to confidential patient survey and to compare the prevalence of medical cannabis use documented in the EHR with patient report. Design, Setting, and Participants This study is a cross-sectional survey performed in a large health system that conducts routine cannabis screening in Washington state where medical and nonmedical cannabis use are legal. Among 108 950 patients who completed routine cannabis screening (between March 28, 2019, and September 12, 2019), 5000 were randomly selected for a confidential survey about cannabis use, using stratified random sampling for frequency of past-year use and patient race and ethnicity. Data were analyzed from November 2020 to December 2021. Exposures Survey measures of patient-reported past-year cannabis use, medical cannabis use (ie, explicit medical use), and any health reason(s) for use (ie, implicit medical use). Main Outcomes and Measures Survey data were linked to EHR data in the year before screening. EHR measures included documentation of explicit and/or implicit medical cannabis use. Analyses estimated the primary care prevalence of cannabis use and compared EHR-documented with patient-reported medical cannabis use, accounting for stratified sampling and nonresponse. Results Overall, 1688 patients responded to the survey (34% response rate; mean [SD] age, 50.7 [17.5] years; 861 female [56%], 1184 White [74%], 1514 non-Hispanic [97%], and 1059 commercially insured [65%]). The primary care prevalence of any past-year patient-reported cannabis use on the survey was 38.8% (95% CI, 31.9%-46.1%), whereas the prevalence of explicit and implicit medical use were 26.5% (95% CI, 21.6%-31.3%) and 35.1% (95% CI, 29.3%-40.8%), respectively. The prevalence of EHR-documented medical cannabis use was 4.8% (95% CI, 3.45%-6.2%). Compared with patient-reported explicit medical use, the sensitivity and specificity of EHR-documented medical cannabis use were 10.0% (95% CI, 4.4%-15.6%) and 97.1% (95% CI, 94.4%-99.8%), respectively. Conclusions and Relevance These findings suggest that medical cannabis use is common among primary care patients in a state with legal use, and most use is not documented in the EHR. Patient report of health reasons for cannabis use identifies more medical use compared with explicit questions about medical use.
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Affiliation(s)
- Gwen T. Lapham
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Health Systems and Population Health, University of Washington, Seattle
| | - Theresa E. Matson
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Health Systems and Population Health, University of Washington, Seattle
| | | | | | - Casey Luce
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Malia M. Oliver
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Udi E. Ghitza
- Center for the Clinical Trials Network, National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland
| | - Clarissa Hsu
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Kendall C. Browne
- Center of Excellence in Substance Addiction Treatment and Education, Veteran Affairs Puget Sound Health Care System, Seattle, Washington
| | - Ingrid A. Binswanger
- Kaiser Permanente Colorado Institute for Health Research, Denver
- Colorado Permanente Medical Group, Denver
| | | | - Andrew J. Saxon
- Center of Excellence in Substance Addiction Treatment and Education, Veteran Affairs Puget Sound Health Care System, Seattle, Washington
| | - Ryan Vandrey
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Rosalie Liccardo Pacula
- Price School of Public Policy, University of Southern California, Los Angeles
- Leonard D Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles
| | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, North Bethesda, Maryland
| | - Steffani R. Bailey
- Department of Family Medicine, Oregon Health & Science University, Portland
| | - Erin A. McClure
- Medical University of South Carolina College of Medicine, Charleston
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38
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Kim HN, Nance RM, Lo Re V, Silverberg MJ, Franco R, Sterling TR, Cachay ER, Horberg MA, Althoff KN, Justice AC, Moore RD, Klein M, Crane HM, Delaney JA, Kitahata MM. Development and Validation of a Model for Prediction of End-Stage Liver Disease in People With HIV. J Acquir Immune Defic Syndr 2022; 89:396-404. [PMID: 35202048 PMCID: PMC8887786 DOI: 10.1097/qai.0000000000002886] [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: 09/30/2021] [Accepted: 12/06/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND End-stage liver disease (ESLD) is a leading cause of non-AIDS-related death among people with HIV (PWH). Factors that increase the progression of liver disease include comorbidities and HIV-specific factors, but we currently lack a tool to apply this evidence into clinical practice. METHODS We developed and validated a risk prediction model for ESLD among PWH who received care in 12 cohorts of the North American AIDS Cohort Collaboration on Research and Design between 2000 and 2016 and had fibrosis-4 index > 1.45. The first occurrence of ascites, variceal bleed, spontaneous bacterial peritonitis, or hepatic encephalopathy was verified by standardized medical record review. The Bayesian model averaging was used to select predictors among biomarkers and diagnoses and the Harrell C statistic to assess model discrimination. RESULTS Among 13,787 PWH in the training set, 82% were men and 54% were Black with a mean age of 48 years. Three hundred ninety ESLD events occurred over a mean 5.4 years. Among the ESLD cases, 52% had hepatitis C virus, 15% hepatitis B virus, and 31% alcohol use disorder. Twelve factors together predicted ESLD risk moderately well (C statistic 0.79, 95% confidence interval: 0.76 to 0.81): age, sex, race/ethnicity, chronic hepatitis B or C, and routinely collected laboratory values reflecting hepatic impairment (serum albumin, aspartate aminotransferase, total bilirubin, and platelets) and lipid metabolism (triglycerides, high-density lipoprotein, and total cholesterol). Our model performed well in the test set (C statistic 0.81, 95% confidence interval: 0.76 to 0.86). CONCLUSION This model of readily accessible clinical parameters predicted ESLD in a large diverse population of PWH.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Amy C. Justice
- Yale University Schools of Medicine and Public Health, New Haven, CT, USA and Veterans Administration Connecticut Healthcare System, USA
| | | | - Marina Klein
- McGill University Health Centre, Montreal, Quebec, Canada
| | | | - Joseph A. Delaney
- University of Washington, Seattle, WA, USA
- University of Manitoba, Winnipeg, Manitoba, Canada
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Coelho LE, Jenkins CA, Shepherd BE, Pape JW, Mejia Cordero F, Padgett D, Crabtree Ramirez B, Grinsztejn B, Althoff KN, Koethe JR, Marconi VC, Tien PC, Willig AL, Moore RD, Castilho JL, Colasanti J, Crane HM, Gill MJ, Horberg MA, Mayor A, Silverberg MJ, McGowan C, Rebeiro PF. Weight gain post-ART in HIV+ Latinos/as differs in the USA, Haiti, and Latin America. Lancet Reg Health Am 2022; 8:100173. [PMID: 35528706 PMCID: PMC9070999 DOI: 10.1016/j.lana.2021.100173] [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] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Background An obesity epidemic has been documented among adult Latinos/as in Latin America and the United States (US); however, little is known about obesity among Latinos/as with HIV (PWH). Moreover, Latinos/as PWH in the US may have different weight trajectories than those in Latin America due to the cultural and environmental contexts. We assessed weight and body mass index (BMI) trajectories among PWH initiating antiretroviral therapy (ART) across 5 countries in Latin America and the Caribbean and the US. Methods ART-naÿve PWH ≥18 years old, enrolled in Brazil, Honduras, Mexico, Peru, and Haiti (sites within CCA-SAnet) and the US (NA-ACCORD) starting ART between 2000 and 2017, with at least one weight measured after ART initiation were included. Participants were classified according to site/ethnicity as: Latinos/as in US, non-Latinos/as in US, Haitians, and Latinos/as in Latin America. Generalized least squares models were used to assess trends in weight and BMI. Models estimating probabilities of becoming overweight/obese (BMI ≥25 kg/m2) and of becoming obese (BMI ≥30 kg/m2) post ART initiation for males and females were fit using generalized estimating equations with a logit link and an independence working correlation structure. Findings Among 59,207 PWH, 9% were Latinos/as from Latin America, 9% Latinos/as from the US, 68% non-Latinos/as from the US and 14% were Haitian. At ART initiation, 29% were overweight and 14% were obese. Post-ART weight and BMI increases were steeper for Latinos/as in Latin America compared with other sites/ethnicities; however, BMI at 3-years post ART remained lower compared to Latinos/as and non-Latinos/as in the US. Among females, at 3-years post ART initiation the greatest adjusted probability of obesity was found among non-Latinas in the US (15·2%) and lowest among Latinas in Latin America (8.6%). Among males, while starting with a lower BMI, Latinos in Latin America had the greatest adjusted probability of becoming overweight or obese 3-years post-ART initiation. Interpretation In the Americas, PWH gain substantial weight after ART initiation. Despite environmental and cultural differences, PWH in Latin America, Haiti and Latinos and non-Latinos in the US share similar BMI trajectories on ART and high probabilities of becoming overweight and obese over time. Multicohort studies are needed to better understand the burden of other metabolic syndrome components in PWH across different countries.
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Affiliation(s)
- Lara E Coelho
- Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Cathy A Jenkins
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bryan E Shepherd
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jean W Pape
- Groupe Haitien d'Etudes du Sarcome de Kaposi et des Infections Opportunistes, Port-au-Prince, Haiti
| | - Fernando Mejia Cordero
- Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Denis Padgett
- Instituto Hondureño de Seguridad Social & Hospital Escuela Universitario, Tegucigalpa, Honduras
| | - Brenda Crabtree Ramirez
- Deparatmento de Infectologia, Instituto Nacional de Ciencias Médicas y Nutrición, Salvador Zubirán. Mexico City, Mexico
| | - Beatriz Grinsztejn
- Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | | | - John R Koethe
- Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Vincent C Marconi
- Emory University School of Medicine and Rollins School of Public Health, Atlanta, GA, USA
| | - Phyllis C Tien
- Department of Medicine, University of California, San Francisco (UCSF), and the Department of Veterans Affairs Medical Center. San Francisco, CA, USA
| | - Amanda L Willig
- School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Jessica L Castilho
- Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonathan Colasanti
- Emory University School of Medicine and Rollins School of Public Health, Atlanta, GA, USA
| | | | - M John Gill
- The University of Calgary, Calgary, AB, Canada
| | - Michael A Horberg
- Kaiser Permanente, Mid-Atlantic Permanente Research Institute, Rockville, MD, US
| | - Angel Mayor
- Universidad Central del Caribe, Retrovirus Research Center, Bayamón, PR, US
| | | | - Catherine McGowan
- Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Peter F Rebeiro
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.,Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN, USA
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40
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Koh MJ, Merrill MH, Koh MJ, Stuver R, Alonso CD, Foss FM, Mayor AM, Gill J, Epeldegui M, Cachay E, Thorne JE, Silverberg MJ, Horberg MA, Althoff KN, Nijhawan AE, McGinnis KA, Lee JS, Rabkin CS, Napravnik S, Li J, Castilho JL, Shen C, Jain S. Comparative outcomes for mature T-cell and NK/T-cell lymphomas in people with and without HIV and to AIDS-defining lymphomas. Blood Adv 2022; 6:1420-1431. [PMID: 35026839 PMCID: PMC8905704 DOI: 10.1182/bloodadvances.2021006208] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 12/28/2021] [Indexed: 11/23/2022] Open
Abstract
There are no studies comparing the prognosis for mature T-cell lymphoma (TCL) in people with HIV (PWH) to people without HIV (PWoH) and to AIDS-defining B-cell lymphomas (A-BCLs) in the modern antiretroviral therapy era. North American AIDS Cohort Collaboration on Research and Design and Comprehensive Oncology Measures for Peripheral T-cell Lymphoma Treatment are cohorts that enroll patients diagnosed with HIV and TCL, respectively. In our study, 52, 64, 101, 500, and 246 PWH with histologic confirmation of TCL, primary central nervous system lymphoma, Burkitt's lymphoma, diffuse large B-cell lymphoma (DLBCL), and Hodgkin's lymphoma (HL), respectively, and 450 TCLs without HIV were eligible for analysis. At the time of TCL diagnosis, anaplastic large-cell lymphoma (ALCL) was the most common TCL subtype within PWH. Although PWH with TCL diagnosed between 1996 and 2009 experienced a low 5-year survival probability at 0.23 (95% confidence interval [CI]: 0.13, 0.41), we observed a marked improvement in their survival when diagnosed between 2010 and 2016 (0.69; 95% CI: 0.48, 1; P = .04) in contrast to TCLs among PWoH (0.45; 95% CI: 0.41, 0.51; P = .53). Similarly, PWH with ALCLs diagnosed between 1996 and 2009 were associated with a conspicuously inferior 5-year survival probability (0.17; 95% CI: 0.07, 0.42) and consistently lagged behind A-BCL subtypes such as Burkitt's (0.43; 95% CI:0.33, 0.57; P = .09) and DLBCL (0.17; 95% CI: 0.06, 0.46; P = .11) and behind HL (0.57; 95% CI: 0.50, 0.65; P < .0001). Despite a small number, those diagnosed between 2010 and 2016 experienced a remarkable improvement in survival (0.67; 95% CI: 0.3, 1) in comparison with PWoH (0.76; 95% CI: 0.66, 0.87; P = .58). Thus, our analysis confirms improved overall survival for aggressive B- and T-cell malignancies among PWH in the last decade.
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Affiliation(s)
- Min Jung Koh
- School of Medicine, Georgetown University, Washington, DC
| | | | - Min Ji Koh
- Department of Public Health, Brown University, Providence, RI
| | - Robert Stuver
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Carolyn D. Alonso
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - Angel M. Mayor
- Retrovirus Research Center, Universidad Central del Caribe, Bayamón, Puerto Rico
| | - John Gill
- Southern Alberta HIV Clinic, Calgary, Canada
| | | | - Edward Cachay
- University of California at San Diego, San Diego, CA
| | | | | | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Ank E. Nijhawan
- UT Southwestern Medical Center, Division of Infectious Diseases, Dallas, TX
| | | | - Jennifer S. Lee
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | | | | | - Jun Li
- Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA
| | - Jessica L. Castilho
- Department of Medicine, Division of Infectious Disease, Vanderbilt University Medical Center, Nashville, TN
| | - Changyu Shen
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
- Biogen, Cambridge, MA
- Harvard Medical School, Boston, MA
| | - Salvia Jain
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
- Massachusetts General Hospital Cancer Center, Boston, MA; and
- Harvard Medical School, Boston, MA
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Althoff KN, Stewart CN, Humes E, Zhang J, Gerace L, Boyd CM, Wong C, Justice AC, Gebo KA, Thorne JE, Rubtsova AA, Horberg MA, Silverberg MJ, Leng SX, Rebeiro PF, Moore RD, Buchacz K, Kasaie P. The shifting age distribution of people with HIV using antiretroviral therapy in the United States. AIDS 2022; 36:459-471. [PMID: 34750289 PMCID: PMC8795488 DOI: 10.1097/qad.0000000000003128] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [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] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To project the future age distribution of people with HIV using antiretroviral therapy (ART) in the United States, under expected trends in HIV diagnosis and survival (baseline scenario) and achieving the ending the HIV epidemic (EHE) goals of a 75% reduction in HIV diagnoses from 2020 to 2025 and sustaining levels to 2030 (EHE75% scenario). DESIGN An agent-based simulation model with mathematical functions estimated from North American AIDS Cohort Collaboration on Research and Design data and parameters from the US Centers for Disease Control and Prevention's annual HIV surveillance reports. METHODS The PEARL (ProjEcting Age, MultimoRbidity, and PoLypharmacy in adults with HIV) model simulated individuals in 15 subgroups of sex-and-HIV acquisition risk and race/ethnicity. Simulation outcomes from the baseline scenario are compared with outcomes from the EHE75% scenario. RESULTS Under the baseline scenario, PEARL projects a substantial increase in number of ART-users over time, reaching a population of 909 638 [95% uncertainty range (UR): 878 449-946 513] by 2030. The overall median age increased from 50 years in 2020 to 52 years in 2030, with 23% of ART-users age ≥65 years in 2030. Under the EHE75% scenario, the projected number of ART-users was 718 348 [703 044-737 817] (median age = 56 years) in 2030, with a 70% relative reduction in ART-users <30 years and a 4% relative reduction in ART-users age ≥65 years compared to baseline, and persistent heterogeneities in projected numbers by sex-and-HIV acquisition risk group and race/ethnicity. CONCLUSIONS It is critical to prepare healthcare systems to meet the impending demand of the US population aging with HIV.
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Affiliation(s)
- Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
| | - Cameron N Stewart
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
| | - Elizabeth Humes
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
| | - Jinbing Zhang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
| | - Lucas Gerace
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
| | - Cynthia M Boyd
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Cherise Wong
- Worldwide Medical and Safety, Pfizer Inc., New York, New York
| | - Amy C Justice
- Yale Schools of Medicine and Public Health and the VA Connecticut Healthcare System, New Haven, Connecticut
| | - Kelly A Gebo
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jennifer E Thorne
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Anna A Rubtsova
- Department of Behavioral, Social, and Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, Georgia
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Sean X Leng
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Peter F Rebeiro
- Department of Medicine, Divisions of Infectious Diseases & Epidemiology; Department of Biostatistics; Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Richard D Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kate Buchacz
- Division of HIV Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Parastu Kasaie
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
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Lu H, Cole SR, Westreich D, Hudgens MG, Adimora AA, Althoff KN, Silverberg MJ, Buchacz K, Li J, Edwards JK, Rebeiro PF, Lima VD, Marconi VC, Sterling TR, Horberg MA, Gill MJ, Kitahata MM, Eron JJ, Moore RD. Corrigendum to: Clinical Effectiveness of Integrase Strand Transfer Inhibitor-Based Antiretroviral Regimens Among Adults With Human Immunodeficiency Virus: A Collaboration of Cohort Studies in the United States and Canada. Clin Infect Dis 2022; 74:755. [PMID: 35099554 PMCID: PMC8886892 DOI: 10.1093/cid/ciab799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Haidong Lu
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Stephen R Cole
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Daniel Westreich
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Michael G Hudgens
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Adaora A Adimora
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Kate Buchacz
- Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jun Li
- Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jessie K Edwards
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Peter F Rebeiro
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Viviane D Lima
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Vincent C Marconi
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | | | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
| | - M John Gill
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mari M Kitahata
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Joseph J Eron
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Richard D Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Lam JO, Lee C, Gilsanz P, Hou CE, Leyden WA, Satre DD, Flamm JA, Towner WJ, Horberg MA, Silverberg MJ. Comparison of dementia incidence and prevalence between individuals with and without HIV infection in primary care from 2000 to 2016. AIDS 2022; 36:437-445. [PMID: 34816805 PMCID: PMC8892590 DOI: 10.1097/qad.0000000000003134] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To compare dementia incidence and prevalence after age 50 years by HIV status. DESIGN Observational cohort, 2000-2016. METHODS People with HIV (PWH) on antiretroviral therapy (ART) and demographically similar people without HIV (PWoH), all aged 50 years and older, were identified from Kaiser Permanente healthcare systems in Northern California, Southern California, and Mid-Atlantic States (Maryland, Virginia, Washington DC). Dementia diagnoses were obtained from electronic health records. Incidence and prevalence of dementia, overall and by time period (i.e. 2000-2002, 2003-2004, …, 2015-2016), were calculated using Poisson regression. Trends were examined using Joinpoint regression. Rate ratios were used to compare dementia by HIV status with adjustment for sociodemographics, substance use, and clinical factors. RESULTS The study included 13 296 PWH and 155 354 PWoH (at baseline: for both, mean age = 54 years, 89% men; for PWH, 80% with HIV RNA <200 copies/ml). From 2000 to 2016, overall incidence of dementia was higher among PWH [adjusted incidence rate ratio (aIRR) = 1.80, 95% confidence interval (CI) = 1.60-2.04]. Dementia incidence decreased among both PWH and PWoH (-8.0 and -3.1% per period, respectively) but remained higher among PWH in the most recent time period, 2015-2016 (aIRR = 1.58, 95% CI = 1.18-2.12). The overall prevalence of dementia from 2000 to 2016 was higher among PWH [adjusted prevalence ratio (aPR) = 1.86, 95% CI = 1.70-2.04] and was also higher among PWH in 2015-2016 (aPR = 1.75, 95% CI = 1.56-1.97). CONCLUSION Reductions in dementia incidence are encouraging and may reflect ART improvement, but PWH are still more likely to have dementia than PWoH. Monitoring the burden of dementia among PWH is important as this population ages.
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Affiliation(s)
- Jennifer O Lam
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Catherine Lee
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Paola Gilsanz
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Craig E Hou
- South San Francisco Medical Center, Kaiser Permanente Northern California, South San Francisco
| | - Wendy A Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Derek D Satre
- Division of Research, Kaiser Permanente Northern California, Oakland
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco
| | - Jason A Flamm
- Sacramento Medical Center, Kaiser Permanente Northern California, Sacramento
| | - William J Towner
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
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44
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Go AS, Reynolds K, Avula HR, Towner WJ, Hechter RC, Horberg MA, Vupputuri S, Leong TK, Leyden WA, Harrison TN, Lee KK, Sung SH, Silverberg MJ. Human Immunodeficiency Virus Infection and Variation in Heart Failure Risk by Age, Sex, and Ethnicity: The HIV HEART Study. Mayo Clin Proc 2022; 97:465-479. [PMID: 34916054 PMCID: PMC9074114 DOI: 10.1016/j.mayocp.2021.10.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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] [Received: 06/20/2021] [Revised: 09/26/2021] [Accepted: 10/08/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To evaluate the risk of heart failure (HF) linked to human immunodeficiency virus (HIV) infection, how risk varies by demographic characteristics, and whether it is explained by atherosclerotic disease or risk factor treatment. PATIENTS AND METHODS We performed a retrospective cohort study of persons with HIV (PWHs) from January 1, 2000, through December 31, 2016, frequency-matched 1:10 to persons without HIV on year of entry, age, sex, race/ethnicity, and treating facility. We evaluated the risk of incident HF associated with HIV infection, overall and by left ventricular systolic function, and whether HF risk varied by demographic characteristics. RESULTS Among 38,868 PWHs and 386,586 matched persons without HIV, mean ± SD age was 41.4±10.8 years, with 12.3% female, 21.1% Black, 20.5% Hispanic, and 3.9% Asian/Pacific Islander. During median follow-up of 3.8 years (interquartile range, 1.4-9.0 years), the rate (per 100 person-years) of incident HF was 0.23 in PWHs vs 0.15 in those without HIV (P<.001). The PWHs had a higher adjusted HF rate (adjusted hazard ratio [aHR], 1.73; 95% confidence interval [CI], 1.57 to 1.91), which was only modestly attenuated after accounting for interim acute coronary syndrome events. Results were similar by systolic function category. The adjusted risk of HF in PWHs was more prominent for those 40 years and younger (aHR, 2.45; 95% CI, 1.92 to 3.03), women (aHR, 2.48; 95% CI, 1.90 to 3.26), and Asian/Pacific Islanders (aHR, 2.46; 95% CI, 1.27 to 4.74). CONCLUSION HIV infection increases the risk of HF, which varied by demographic characteristics and was not primarily mediated through atherosclerotic disease pathways or differential use of cardiopreventive medications.
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Affiliation(s)
- Alan S Go
- Division of Research, Kaiser Permanente Northern California, Oakland; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA; Departments of Epidemiology, Biostatistics, and Medicine, University of California, San Francisco, San Francisco; Department of Medicine, Stanford University, Palo Alto, CA.
| | - Kristi Reynolds
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Harshith R Avula
- Department of Cardiology, Kaiser Permanente Walnut Creek Medical Center, Walnut Creek, CA
| | - William J Towner
- Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA; Department of Infectious Disease, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA
| | - Rulin C Hechter
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Michael A Horberg
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA; Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD
| | - Suma Vupputuri
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD
| | - Thomas K Leong
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Wendy A Leyden
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Teresa N Harrison
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Keane K Lee
- Division of Research, Kaiser Permanente Northern California, Oakland; Department of Cardiology, Kaiser Permanente Santa Clara Medical Center, Santa Clara, CA
| | - Sue Hee Sung
- Division of Research, Kaiser Permanente Northern California, Oakland
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Nadison M, Flamm LJ, Roberts A, Staton T, Wiener L, Locke J, Bullock E, Loftus B, Carpenter C, Sadler M, Horberg MA. Kaiser Permanente's Good Health & Great Hair Program: Partnering With Barbershops and Beauty Salons to Advance Health Equity in West Baltimore, Maryland. J Public Health Manag Pract 2022; 28:E369-E379. [PMID: 34016902 DOI: 10.1097/phh.0000000000001381] [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] [Indexed: 11/27/2022]
Abstract
CONTEXT The Good Health & Great Hair program was developed by Kaiser Permanente in partnership with a network of trusted neighborhood barbershops and beauty salons in West Baltimore, Maryland. PROGRAM The initiative aimed to increase health awareness and knowledge and reduce health disparities by making no-cost health care services available beyond traditional health care settings in predominantly Black, historically redlined neighborhoods in West Baltimore. IMPLEMENTATION This initiative, established by an integrated health care system, is the first to utilize mobile health clinics into a holistic community health outreach program in partnership with barbershops and beauty salons to provide medical and social services to underserved populations. In addition to the mobile health clinics, key features of this program included lay first responder trainings on topics of physical and behavioral health, on-site medical and social services offered by community partners, and culturally relevant mental health programming. The majority of participants (n = 1823) were male (58%), Black (86%), and between the ages of 45 and 64 years (51%). EVALUATION Data presented include the number of clinical and social services provided. More than 8000 clinical and social services were provided between September 2016 and March 2020. Blood pressure (n = 2317), diabetes (n = 469), tobacco (n = 448), and cholesterol (n = 443) were the most accessed clinical screening services. The median number of clinical services provided per client was 2. Fitness (n = 1496), job search support (n = 1123), mental health (n = 603), and health insurance (n = 455) were the most accessed social services. DISCUSSION The initiative delivered critical health and social support services through a partnership with an established integrated health care system, community barbershops and beauty salons, a mobile health team, and social supports. This novel program utilized a mobile health clinic to provide extensive clinical services complemented by on-site social services. Patterns of service utilization and lessons learned could inform the design of similar programs.
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Affiliation(s)
- Maya Nadison
- Kaiser Permanente of the Mid-Atlantic States, Community Health, Rockville, Maryland (Dr Nadison and Mss Flamm and Roberts); More Than a Shop, Baltimore, Maryland (Mr Staton); Kaiser Permanente of the Mid-Atlantic States, Mid-Atlantic Permanente Medical Group, Rockville, Maryland (Mss Wiener and Locke and Drs Bullock, Loftus, and Horberg); Shattuck & Associates, Incorporated, Middletown, Maryland (Drs Carpenter and Sadler); and Mid-Atlantic Permanente Research Medical Group, Mid-Atlantic Permanente Research Institute, Rockville, Maryland (Dr Horberg)
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Young J, Re VL, Kim HN, Sterling TR, Althoff KN, Gebo KA, Gill MJ, Horberg MA, Mayor AM, Moore RD, Silverberg MJ, Klein MB. Do contemporary antiretrovirals increase the risk of end-stage liver disease? Signals from patients starting therapy in the North American AIDS Cohort Collaboration on Research and Design. Pharmacoepidemiol Drug Saf 2022; 31:214-224. [PMID: 34729853 PMCID: PMC9089458 DOI: 10.1002/pds.5379] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 10/14/2021] [Accepted: 10/31/2021] [Indexed: 02/03/2023]
Abstract
PURPOSE Despite effective antiretroviral therapy, rates of end-stage liver disease (ESLD) remain high. It is not clear whether contemporary antiretrovirals contribute to the risk of ESLD. METHODS We included patients from cohorts with validated ESLD data in the North American AIDS Cohort Collaboration on Research and Design. Patients had to initiate antiretroviral therapy after 1 January 2004 with a nucleos(t)ide backbone of either abacavir/lamivudine or tenofovir/emtricitabine and a contemporary third (anchor) drug. Patients were followed until a first ESLD event, death, end of a cohort's ESLD validation period, loss to follow-up or 31 December 2015. We estimated associations between cumulative exposure to each drug and ESLD using a hierarchical Bayesian survival model with weakly informative prior distributions. RESULTS Among 10 564 patients included from 12 cohorts, 62 had an ESLD event. Of the nine anchor drugs, boosted protease inhibitors atazanavir and darunavir had the strongest signals for ESLD, with increasing hazard ratios (HR) and narrowing credible intervals (CrI), from a prior HR of 1.5 (95% CrI 0.32-7.1) per 5 year's exposure to posterior HRs respectively of 1.8 (95% CrI 0.82-3.9) and 2.0 (95% CrI 0.86-4.7). Both backbones and efavirenz showed no signal. Hepatitis C coinfection was the most important covariate risk factor (HR 4.4, 95% CrI 2.6-7.0). CONCLUSIONS While contemporary antiretrovirals pose less risk for ESLD than hepatitis coinfection, atazanavir and darunavir had a toxicity signal. We show how hierarchical Bayesian modelling can be used to detect toxicity signals in cohort event monitoring data even with complex treatments and few events.
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Affiliation(s)
- Jim Young
- Division of Infectious Diseases and Chronic Viral Illness Service, Department of Medicine, Glen Site, McGill University Health Centre, Montreal QC, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal QC, Canada.,Corresponding Author: Jim Young, Research Institute of the McGill University Health Centre, 5252 boul de Maisonneuve W, #3C.23, Montréal, QC H4A 3S5 Canada. Tel. +1-514-934-1934 ext.32198,
| | - Vincent Lo Re
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA
| | - H. Nina Kim
- Department of Medicine, University of Washington, Seattle WA, USA
| | - Timothy R. Sterling
- Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville TN, USA
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore MD, USA
| | - Kelly A. Gebo
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | - M. John Gill
- Department of Medicine, University of Calgary, Calgary AB, Canada
| | - Michael A. Horberg
- Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville MD, USA
| | - Angel M. Mayor
- Retrovirus Research Center, Internal Medicine Department, School of Medicine, Universidad Central del Caribe, Bayamón PR, USA
| | - Richard D. Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | | | - Marina B. Klein
- Division of Infectious Diseases and Chronic Viral Illness Service, Department of Medicine, Glen Site, McGill University Health Centre, Montreal QC, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal QC, Canada.,CIHR Canadian HIV Trials Network, Vancouver BC, Canada
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47
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Lu H, Cole SR, Westreich D, Hudgens MG, Adimora AA, Althoff KN, Silverberg MJ, Buchacz K, Li J, Edwards JK, Rebeiro PF, Lima VD, Marconi VC, Sterling TR, Horberg MA, Gill MJ, Kitahata MM, Eron JJ, Moore RD. Virologic outcomes among adults with HIV using integrase inhibitor-based antiretroviral therapy. AIDS 2022; 36:277-286. [PMID: 34934020 PMCID: PMC9048218 DOI: 10.1097/qad.0000000000003069] [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] [Indexed: 02/03/2023]
Abstract
BACKGROUND Integrase strand transfer inhibitor (InSTI)-based regimens have been recommended as first-line antiretroviral therapy (ART) for adults with HIV. But data on long-term effects of InSTI-based regimens on virologic outcomes remain limited. Here we examined whether InSTI improved long-term virologic outcomes compared with efavirenz (EFV). METHODS We included adults from the North American AIDS Cohort Collaboration on Research and Design who initiated their first ART regimen containing either InSTI or EFV between 2009 and 2016. We estimated differences in the proportion virologically suppressed up to 7 years of follow-up in observational intention-to-treat and per-protocol analyses. RESULTS Of 15 318 participants, 5519 (36%) initiated an InSTI-based regimen and 9799 (64%) initiated the EFV-based regimen. In observational intention-to-treat analysis, 81.3% of patients in the InSTI group and 67.3% in the EFV group experienced virologic suppression at 3 months after ART initiation, corresponding to a difference of 14.0% (95% CI 12.4-15.6). At 1 year after ART initiation, the proportion virologically suppressed was 89.5% in the InSTI group and 90.2% in the EFV group, corresponding to a difference of -0.7% (95% CI -2.1 to 0.8). At 7 years, the proportion virologically suppressed was 94.5% in the InSTI group and 92.5% in the EFV group, corresponding to a difference of 2.0% (95% CI -7.3 to 11.3). The observational per-protocol results were similar to intention-to-treat analyses. CONCLUSIONS Although InSTI-based initial ART regimens had more rapid virologic response than EFV-based regimens, the long-term virologic effect was similar. Our findings may inform guidelines regarding preferred initial regimens for HIV treatment.
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Affiliation(s)
- Haidong Lu
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Connecticut
| | | | | | | | - Adaora A. Adimora
- Department of Epidemiology
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, North Carolina
| | - Keri N. Althoff
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Kate Buchacz
- Division of HIV/AIDS Prevention Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jun Li
- Division of HIV/AIDS Prevention Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | - Viviane D. Lima
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Vincent C. Marconi
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta
- Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | | | - Michael A. Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
| | - M. John Gill
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mari M. Kitahata
- Department of Medicine, University of Washington, Seattle, Washington
| | - Joseph J. Eron
- Department of Epidemiology
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, North Carolina
| | - Richard D. Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, 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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49
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Thompson MA, Horberg MA, Agwu AL, Colasanti JA, Jain MK, Short WR, Singh T, Aberg JA. Erratum to: Primary Care Guidance for Persons With Human Immunodeficiency Virus: 2020 Update by the HIV Medicine Association of the Infectious Diseases Society of America. Clin Infect Dis 2021; 74:1893-1898. [PMID: 34878522 DOI: 10.1093/cid/ciab801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Affiliation(s)
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic Permanente Medical Group, Rockville, Maryland, USA
| | - Allison L Agwu
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Mamta K Jain
- Division of Infectious Diseases, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - William R Short
- Division of Infectious Diseases, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tulika Singh
- Internal Medicine, HIV and Infectious Disease, Desert AIDS Project, Palm Springs, California, USA
| | - Judith A Aberg
- Division of Infectious Diseases, Mount Sinai Health System, New York, New York, USA
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50
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Coburn SB, Humes E, Lang R, Stewart C, Hogan BC, Gebo KA, Napravnik S, Edwards JK, Browne LE, Park LS, Justice AC, Gordon K, Horberg MA, Certa JM, Watson E, Jefferson CR, Silverberg M, Skarbinski J, Leyden WA, Williams CF, Althoff KN. COVID-19 infections post-vaccination by HIV status in the United States. medRxiv 2021:2021.12.02.21267182. [PMID: 34909791 PMCID: PMC8669858 DOI: 10.1101/2021.12.02.21267182] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
IMPORTANCE Recommendations for additional doses of COVID vaccine are restricted to people with HIV who have advanced disease or unsuppressed HIV viral load. Understanding SARS-CoV-2 infection risk post-vaccination among PWH is essential for informing vaccination guidelines. OBJECTIVE Estimate the risk of breakthrough infections among fully vaccinated people with (PWH) and without (PWoH) HIV in the US. DESIGN SETTING AND PARTICIPANTS The Corona-Infectious-Virus Epidemiology Team (CIVET)-II cohort collaboration consists of 4 longitudinal cohorts from integrated health systems and academic health centers. Each cohort identified individuals ≥18 years old, in-care, and fully vaccinated for COVID-19 through 30 June 2021. PWH were matched to PWoH on date fully vaccinated, age group, race/ethnicity, and sex at birth. Incidence rates per 1,000 person-years and cumulative incidence of breakthrough infections with 95% confidence intervals ([,]) were estimated by HIV status. Cox proportional hazards models estimated adjusted hazard ratios (aHR) of breakthrough infections by HIV status adjusting for demographic factors, prior COVID-19 illness, vaccine type (BNT162b2, [Pfizer], mRNA-1273 [Moderna], Jansen Ad26.COV2.S [J&J]), calendar time, and cohort. Risk factors for breakthroughs among PWH, were also investigated. EXPOSURE HIV infection. OUTCOME COVID-19 breakthrough infections, defined as laboratory evidence of SARS-CoV-2 infection or COVID-19 diagnosis after an individual was fully vaccinated. RESULTS Among 109,599 individuals (31,840 PWH and 77,759 PWoH), the rate of breakthrough infections was higher in PWH versus PWoH: 44 [41, 48] vs. 31 [29, 33] per 1,000 person-years. Cumulative incidence at 210 days after date fully vaccinated was low, albeit higher in PWH versus PWoH overall (2.8% versus 2.1%, log-rank p<0.001, risk difference=0.7% [0.4%, 1.0%]) and within each vaccine type. Breakthrough infection risk was 41% higher in PWH versus PWoH (aHR=1.41 [1.28, 1.56]). Among PWH, younger age (18-24 versus 45-54), history of COVID-19 prior to fully vaccinated date, and J&J vaccination (versus Pfizer) were associated with increased risk of breakthroughs. There was no association of breakthrough with HIV viral load suppression or CD4 count among PWH. CONCLUSIONS AND RELEVANCE COVID-19 vaccination is effective against infection with SARS-CoV-2 strains circulating through 30 Sept 2021. PWH have an increased risk of breakthrough infections compared to PWoH. Recommendations for additional vaccine doses should be expanded to all PWH.
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Affiliation(s)
- Sally B Coburn
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elizabeth Humes
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Raynell Lang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Cameron Stewart
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brenna C Hogan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kelly A Gebo
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Sonia Napravnik
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jessie K Edwards
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lindsay E Browne
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lesley S Park
- Stanford Center for Population Health Sciences, Palo Alto, CA, USA
| | - Amy C Justice
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kirsha Gordon
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
| | - Julia M Certa
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
| | - Eric Watson
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
| | - Celeena R Jefferson
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD, USA
| | - Michael Silverberg
- Kaiser Permanente Northern California, Division of Research, Oakland CA, USA
| | - Jacek Skarbinski
- Kaiser Permanente Northern California, Division of Research, Oakland CA, USA
- Department of Infectious Diseases, Oakland Medical Center, Oakland CA, USA
| | - Wendy A Leyden
- Kaiser Permanente Northern California, Division of Research, Oakland CA, USA
| | - Carolyn F Williams
- Epidemiology Branch, Division of AIDS at National Institute of Allergy and Infectious Diseases (NIAID), National Institute of Health (NIH), Rockville, MD, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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