1
|
Lang R, Coburn SB, Gill MJ, Justice AC, Grossman J, Gebo KA, Horberg MA, Mayor AM, Silverberg MJ, McGinnis KA, Hogan B, Moore RD, Althoff KN. Evaluation of mean corpuscular volume among anemic people with HIV in North America following ART initiation. AIDS Res Ther 2024; 21:52. [PMID: 39113038 PMCID: PMC11304803 DOI: 10.1186/s12981-024-00641-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 07/25/2024] [Indexed: 08/11/2024] Open
Abstract
BACKGROUND Anemia is common and associated with increased morbidity among people with HIV (PWH). Classification of anemia using the mean corpuscular volume (MCV) can help investigate the underlying causative factors of anemia. We characterize anemia using MCV among PWH receiving antiretroviral therapy (ART), and identify the risk factors for normocytic, macrocytic, and microcytic anemias. METHODS Including PWH with anemia (hemoglobin measure < 12.9 g/dL among men and < 11.9 g/dL among women) in the NA-ACCORD from 01/01/2007 to 12/31/2017, we estimated the annual distribution of normocytic (80-100 femtolitre (fL)), macrocytic (> 100 fL) or microcytic (< 80 fL) anemia based on the lowest hemoglobin within each year. Poisson regression models with robust variance and general estimating equations were used to estimate crude and adjusted prevalence ratios and 95% confidence intervals for risk factors for macrocytic (vs. normocytic) and microcytic (vs. normocytic) anemia stratified by sex. RESULTS Among 37,984 hemoglobin measurements that identified anemia in 14,590 PWH, 27,909 (74%) were normocytic, 4257 (11%) were microcytic, and 5818 (15%) were macrocytic. Of the anemic PWH included over the study period, 1910 (13%) experienced at least one measure of microcytic anemia and 3208 (22%) at least one measure of macrocytic anemia. Normocytic anemia was most common among both males and females, followed by microcytic among females and macrocytic among males. Over time, the proportion of anemic PWH who have macrocytosis decreased while microcytosis increased. Macrocytic (vs. normocytic) anemia is associated with increasing age and comorbidities. With increasing age, microcytic anemia decreased among females but not males. A greater proportion of PWH with normocytic anemia had CD4 counts ≤ 200 cells/mm3 and had recently initiated ART. CONCLUSION In anemic PWH, normocytic anemia was most common. Over time macrocytic anemia decreased, and microcytic anemia increased irrespective of sex. Normocytic anemia is often due to chronic disease and may explain the greater risk for normocytic anemia among those with lower CD4 counts or recent ART initiation. Identified risk factors for type-specific anemias including sex, age, comorbidities, and HIV factors, can help inform targeted investigation into the underlying causes.
Collapse
Affiliation(s)
- Raynell Lang
- Department of Medicine, University of Calgary, Calgary, AB, Canada.
- Department of Medicine and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
| | - Sally B Coburn
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - M John Gill
- Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Amy C Justice
- Schools of Medicine and Public Health, Yale University, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | | | - 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
| | | | | | - Brenna Hogan
- Department of Epidemiology, Johns Hopkins University, 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
| |
Collapse
|
2
|
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. AIDS 2024; 38:1366-1374. [PMID: 38507583 PMCID: PMC11211058 DOI: 10.1097/qad.0000000000003892] [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: 03/22/2024]
Abstract
OBJECTIVE The aim of this study is 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 18-30 years. 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 more than 6.5% or based on clinical diagnosis and medication use. Hypercholesterolemia was based on medication use or total cholesterol at least 200 mg/dl. Hypertriglyceridemia was based on medication use or fasting triglyceride at least 150 mg/dl or nonfasting at least 200 mg/dl. Hypertension was based on clinical diagnosis. CKD was defined as estimated glomerular filtration rates less than 90 ml/mi|1.73 m 2 for at least 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 women had the highest incidence of hypercholesterolemia and hypertriglyceridemia, Black adults had the highest hypertension incidence, and Black men 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.
Collapse
Affiliation(s)
- Nel Jason L Haw
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Catherine R Lesko
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Derek K Ng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Jennifer Lam
- Division of Research, Kaiser Permanente, Oakland, California, USA
| | - Raynell Lang
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mari M Kitahata
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington
| | - Heidi Crane
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington
| | - Joseph Eron
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - M John Gill
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Southern Alberta Clinic, Calgary, Alberta, Canada
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland
| | - Maile Karris
- Department of Medicine, University of California, San Diego, San Diego, California, USA
| | - Mona Loutfy
- Department of Medicine, University of Toronto
- Maple Leaf Medical Clinic, Toronto, Ontario, Canada
| | | | | | - Keri Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Allison Agwu
- Department of Medicine
- Department of Pediatrics, Johns Hopkins Medicine, Baltimore, Maryland, USA
| |
Collapse
|
3
|
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] [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.
Collapse
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
| | | |
Collapse
|
4
|
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: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [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.
Collapse
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
| |
Collapse
|
5
|
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] [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.
Collapse
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
| |
Collapse
|
6
|
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] [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.
Collapse
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
| |
Collapse
|
7
|
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] [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.
Collapse
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
| | | |
Collapse
|
8
|
Lee JS, Humes EA, Hogan BC, Buchacz K, Eron JJ, Gill MJ, Sterling TR, Rebeiro PF, Lima VD, Mayor A, Silverberg MJ, Horberg MA, Moore RD, Althoff KN. CD4 Count at Entry into Care and at Antiretroviral Therapy Prescription among Adults with Human Immunodeficiency Virus in the United States, 2005-2018. Clin Infect Dis 2021; 73:e2334-e2337. [PMID: 33383586 PMCID: PMC8492212 DOI: 10.1093/cid/ciaa1904] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Indexed: 01/27/2023] Open
Abstract
From 2005 to 2018, among 32013 adults with human immunodeficiency virus entering care, median time to antiretroviral therapy (ART) prescription declined from 69 to 6 days, CD4 count at entry into care increased from 300 to 362 cells/μL, and CD4 count at ART prescription increased from 160 to 364 cells/μL.
Collapse
Affiliation(s)
- Jennifer S Lee
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Elizabeth A Humes
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Brenna C Hogan
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kate Buchacz
- Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Joseph J Eron
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - M John Gill
- Southern Alberta HIV Clinic, Calgary, Alberta, Canada
| | - Timothy R Sterling
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Peter F Rebeiro
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Viviane Dias Lima
- BC Centre for Excellence in HIV/AIDS, University of British Columbia, Vancouver, British Columbia, Canada
| | - Angel Mayor
- Department of Medicine, Universidad Central del Caribe, Bayamon, Puerto Rico
| | | | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
| | - Richard D Moore
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| |
Collapse
|
9
|
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.
Collapse
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
| |
Collapse
|
10
|
Winners of the American College of Epidemiology Annals of Epidemiology Awards, 2020. Ann Epidemiol 2020. [DOI: 10.1016/j.annepidem.2020.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
11
|
An Example of How Immortal Time Bias Can Reverse the Results of an Observational Study. Epidemiology 2020; 31:e19-e20. [DOI: 10.1097/ede.0000000000001103] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|