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Edwards JK, Breger TL, Cole SR, Zivich PN, Shook-Sa BE, Sadinski LM, Westreich D, Edmonds A, Ramirez C, Ofotokun I, Kassaye SG, Brown TT, Konkle-Parker D, Stosor V, Bolan R, Krier S, Jones DL, D’Souza G, Cohen M, Tien PC, Taylor T, Anastos K, Drummond MB, Floris-Moore M. Right Censoring and Mortality in the Multicenter AIDS Cohort Study and Women's Interagency HIV Study. Epidemiology 2025; 36:511-519. [PMID: 40125846 PMCID: PMC12122228 DOI: 10.1097/ede.0000000000001852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2025]
Abstract
BACKGROUND Epidemiologists frequently employ right censoring to handle missing outcome, covariate, or exposure data incurred when participants have large gaps between study visits or stop attending study visits entirely. But, if participants who are censored are more or less likely to experience outcomes of interest than those not censored, such censoring could introduce bias in estimated measures. METHODS We examined how censoring after two consecutive missed visits may affect mortality results from the Multicenter AIDS Cohort Study (MACS) and Women's Interagency HIV Study (WIHS). MACS and WIHS provide linkages to vital statistics registries, such that mortality data were available for all participants, regardless of whether they attended study visits. RESULTS In a gold standard analysis that did not censor after two consecutive missed visits, 10-year mortality was 23% (95% CI: 22, 24) in MACS and 21% (95% CI: 20, 23) in WIHS. Estimated mortality was modestly reduced by 0%-5% across subgroups when censoring at missed visits. Applying inverse probability of censoring weights partially removed this attenuation. CONCLUSIONS While mortality was slightly elevated after two consecutive missed visits in MACS and WIHS, censoring at two consecutive missed visits did not substantially alter estimated mortality, particularly after applying inverse probability of censoring weights.
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Affiliation(s)
- Jessie K. Edwards
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Tiffany L. Breger
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Stephen R. Cole
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Paul N. Zivich
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Bonnie E. Shook-Sa
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Leah M. Sadinski
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Daniel Westreich
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Andrew Edmonds
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Catalina Ramirez
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Igho Ofotokun
- Emory University School of Medicine, Department of Medicine, Division of Infectious Diseases, Atlanta, GA
| | | | - Todd T. Brown
- School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Deborah Konkle-Parker
- Department of Medicine, Division of Infectious Diseases, University of Mississippi Medical Center, Jackson, MS
| | - Valentina Stosor
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Sarah Krier
- Department of Infectious Diseases and Microbiology, University of Pittsburgh, Pittsburgh, PA
| | | | | | - Mardge Cohen
- Hektoen Institute for Medical Research, Chicago, IL
| | - Phyllis C. Tien
- School of Medicine, University of California San Francisco and San Francisco VA Health Care System, San Francisco, CA
| | - Tonya Taylor
- Department of Medicine, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Kathryn Anastos
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - M. Bradley Drummond
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Michelle Floris-Moore
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
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SADINSKI LM, WESTREICH D, EDMONDS A, BREGER TL, COLE SR, RAMIREZ C, BROWN TT, OFOTOKUN I, KONKLE-PARKER D, KASSAYE S, JONES DL, D’SOUZA G, COHEN MH, TIEN PC, TAYLOR TN, ANASTOS K, ADIMORA AA. Hypertension and one-year risk of all-cause mortality among women with treated HIV in the United States. AIDS 2023; 37:679-688. [PMID: 36728933 PMCID: PMC9974900 DOI: 10.1097/qad.0000000000003461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Hypertension is a critical cause of cardiovascular disease, and women with HIV have a higher prevalence of hypertension than women without HIV. The relationship between hypertension and mortality has not been well characterized in women with treated HIV. Here, we estimate the effect of hypertension on 1-year risk of all-cause mortality among women with HIV on antiretroviral therapy (ART) in the United States. DESIGN An analysis of multicenter, observational cohort data from the Women's Interagency HIV Study (WIHS) collected between 1995 and 2019. METHODS We included women with HIV who reported ever using ART. We used parametric g-computation to estimate the effect of hypertension (SBP ≥140 mmHg, DBP ≥90 mmHg, or use of hypertensive medication) on all-cause mortality within 1 year of a WIHS visit. RESULTS Among 2929 unique women, we included 57 034 visits with a median age of 45 (interquartile range: 39, 52) years. Women had hypertension at 34.5% of visits, and 641 deaths occurred within 1 year of a study visit. Comparing women at visits with hypertension to women at visits without hypertension, the standardized 1-year risk ratio for mortality was 1.16 [95% confidence interval (95% CI): 1.01-1.33]. The risk ratios were higher in Hispanic (risk ratio: 1.23, 95% CI: 0.86-1.77) and non-Hispanic black women (risk ratio: 1.19, 95% CI: 1.04-1.37) and lower in non-Hispanic white women (risk ratio: 0.93, 95% CI: 0.58-1.48). CONCLUSION Among women with treated HIV, those with hypertension, compared with those without, had an increased 1-year risk of all-cause mortality.
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Affiliation(s)
- Leah M. SADINSKI
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Daniel WESTREICH
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew EDMONDS
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tiffany L. BREGER
- Department of Medicine, Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill NC, USA
| | - Stephen R. COLE
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Catalina RAMIREZ
- Department of Medicine, Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill NC, USA
| | - Todd T. BROWN
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Igho OFOTOKUN
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Deborah KONKLE-PARKER
- Schools of Nursing, Medicine and Population Health Sciences, University of Mississippi Medical Center, Jackson, MS, USA
| | - Seble KASSAYE
- Department of Medicine, Georgetown University Medical Center, Washington, DC, USA
| | - Deborah L. JONES
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Gypsyamber D’SOUZA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Mardge H. COHEN
- Department of Medicine, Stroger Hospital of Cook County Health and Hospitals System, Chicago, IL, USA
| | - Phyllis C. TIEN
- Department of Medicine, School of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Division of Infectious Disease, San Francisco VA Medical Center, San Francisco, CA, USA
| | - Tonya N. TAYLOR
- College of Medicine, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Kathryn ANASTOS
- Departments of Medicine, Epidemiology, and Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Adaora A. ADIMORA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill NC, USA
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Davy-Mendez T, Napravnik S, Eron JJ, Cole SR, Van Duin D, Wohl DA, Gebo KA, Moore RD, Althoff KN, Poteat T, Gill MJ, Horberg MA, Silverberg MJ, Nanditha NGA, Thorne JE, Berry SA. Racial, ethnic, and gender disparities in hospitalizations among persons with HIV in the United States and Canada, 2005-2015. AIDS 2021; 35:1229-1239. [PMID: 33710020 PMCID: PMC8172437 DOI: 10.1097/qad.0000000000002876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To examine recent trends and differences in all-cause and cause-specific hospitalization rates by race, ethnicity, and gender among persons with HIV (PWH) in the United States and Canada. DESIGN HIV clinical cohort consortium. METHODS We followed PWH at least 18 years old in care 2005-2015 in six clinical cohorts. We used modified Clinical Classifications Software to categorize hospital discharge diagnoses. Incidence rate ratios (IRR) were estimated using Poisson regression with robust variances to compare racial and ethnic groups, stratified by gender, adjusted for cohort, calendar year, injection drug use history, and annually updated age, CD4+, and HIV viral load. RESULTS Among 27 085 patients (122 566 person-years), 80% were cisgender men, 1% transgender, 43% White, 33% Black, 17% Hispanic of any race, and 1% Indigenous. Unadjusted all-cause hospitalization rates were higher for Black [IRR 1.46, 95% confidence interval (CI) 1.32-1.61] and Indigenous (1.99, 1.44-2.74) versus White cisgender men, and for Indigenous versus White cisgender women (2.55, 1.68-3.89). Unadjusted AIDS-related hospitalization rates were also higher for Black, Hispanic, and Indigenous versus White cisgender men (all P < 0.05). Transgender patients had 1.50 times (1.05-2.14) and cisgender women 1.37 times (1.26-1.48) the unadjusted hospitalization rate of cisgender men. In adjusted analyses, among both cisgender men and women, Black patients had higher rates of cardiovascular and renal/genitourinary hospitalizations compared to Whites (all P < 0.05). CONCLUSION Black, Hispanic, Indigenous, women, and transgender PWH in the United States and Canada experienced substantially higher hospitalization rates than White patients and cisgender men, respectively. Disparities likely have several causes, including differences in virologic suppression and chronic conditions such as diabetes and renal disease.
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Affiliation(s)
- Thibaut Davy-Mendez
- Gillings School of Global Public Health
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Sonia Napravnik
- Gillings School of Global Public Health
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Joseph J Eron
- Gillings School of Global Public Health
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - David Van Duin
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - David A Wohl
- Gillings School of Global Public Health
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kelly A Gebo
- Bloomberg School of Public Health
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Richard D Moore
- Bloomberg School of Public Health
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Keri N Althoff
- Bloomberg School of Public Health
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Tonia Poteat
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - M John Gill
- Southern Alberta HIV Clinic, Calgary, Alberta, Canada
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, MD
| | | | - Ni Gusti Ayu Nanditha
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Stephen A Berry
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
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Muthulingam D. Health Insurance and the Promise of Incrementalism. J Womens Health (Larchmt) 2017; 26:1263-1264. [DOI: 10.1089/jwh.2017.6696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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