Abstract
Background: Evidence of whether people living with HIV are at elevated risk of adverse COVID-19 outcomes is inconclusive. We aimed to investigate this association using the population-based National COVID Cohort Collaborative (N3C) data in the USA. Methods: We included all adult (aged ≥18 years) COVID-19 cases with any health-care encounter from 54 clinical sites in the USA, with data being deposited into the N3C. The outcomes were COVID-19 disease severity, hospitalisation, and mortality. Encounters in the same health-care system beginning on or after January 1, 2018, were also included to provide information about pre-existing health conditions (eg, comorbidities). Logistic regression models were employed to estimate the association of HIV infection and HIV markers (CD4 cell count, viral load) with hospitalisation, mortality, and clinical severity of COVID-19 (multinomial). The models were initially adjusted for demographic characteristics, then subsequently adjusted for smoking, obesity, and a broad range of comorbidities. Interaction terms were added to assess moderation effects by demographic characteristics. Findings: In the harmonised N3C data release set from Jan 1, 2020, to May 8, 2021, there were 1 436 622 adult COVID-19 cases, of these, 13 170 individuals had HIV infection. A total of 26 130 COVID-19 related deaths occurred, with 445 among people with HIV. After adjusting for all the covariates, people with HIV had higher odds of COVID-19 death (adjusted odds ratio 1·29, 95% CI 1·16–1·44) and hospitalisation (1·20, 1·15–1·26), but lower odds of mild or moderate COVID-19 (0·61, 0·59–0·64) than people without HIV. Interaction terms revealed that the elevated odds were higher among older age groups, male, Black, African American, Hispanic, or Latinx adults. A lower CD4 cell count (<200 cells per μL) was associated with all the adverse COVID-19 outcomes, while viral suppression was only associated with reduced hospitalisation. Interpretation: Given the COVID-19 pandemic's exacerbating effects on health inequities, public health and clinical communities must strengthen services and support to prevent aggravated COVID-19 outcomes among people with HIV, particularly for those with pronounced immunodeficiency. Funding: National Center for Advancing Translational Sciences, National Institute of Allergy and Infectious Diseases, National Institutes of Health, USA.
Original language | English (US) |
---|---|
Pages (from-to) | e690-e700 |
Journal | The Lancet HIV |
Volume | 8 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2021 |
ASJC Scopus subject areas
- Epidemiology
- Immunology
- Infectious Diseases
- Virology
Access to Document
Other files and links
Fingerprint
Dive into the research topics of 'Associations between HIV infection and clinical spectrum of COVID-19: a population level analysis based on US National COVID Cohort Collaborative (N3C) data'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
Associations between HIV infection and clinical spectrum of COVID-19 : a population level analysis based on US National COVID Cohort Collaborative (N3C) data. / National COVID Cohort Collaborative Consortium.
In: The Lancet HIV, Vol. 8, No. 11, 11.2021, p. e690-e700.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Associations between HIV infection and clinical spectrum of COVID-19
T2 - a population level analysis based on US National COVID Cohort Collaborative (N3C) data
AU - National COVID Cohort Collaborative Consortium
AU - Yang, Xueying
AU - Sun, Jing
AU - Patel, Rena C.
AU - Zhang, Jiajia
AU - Guo, Siyuan
AU - Zheng, Qulu
AU - Olex, Amy L.
AU - Olatosi, Bankole
AU - Weissman, Sharon B.
AU - Islam, Jessica Y.
AU - Chute, Christopher G.
AU - Haendel, Melissa
AU - Kirk, Gregory D.
AU - Li, Xiaoming
AU - Moffitt, Richard
AU - Akelsrod, Hana
AU - Crandall, Keith A.
AU - Francheschini, Nora
AU - French, Evan
AU - Po-Yu Chiang, Teresa
AU - Caleb-Alexander, G.
AU - Andersen, Kathleen M.
AU - Vinson, Amanda J.
AU - Brown, Todd T.
AU - Mannon, Roslyn B.
N1 - Funding Information: The analyses described in this publication were conducted with data or tools accessed through the National Center for Advancing Translational Sciences (NCATS) N3C Data Enclave and supported by NCATS U24 TR002306 and the National Institute of Allergy and Infectious Diseases (NIAID) of the NIH under Award Number R01AI127203-4S1. This study was also supported by the following grants from Stony Brook University (U24TR002306); University of Oklahoma Health Sciences Center (U54GM104938), Oklahoma Clinical and Translational Science Institute; West Virginia University (U54GM104942), West Virginia Clinical and Translational Science Institute; University of Mississippi Medical Center (U54GM115428), Mississippi Center for Clinical and Translational Research; University of Nebraska Medical Center (U54GM115458), Great Plains IDeA-Clinical & Translational Research; Maine Medical Center (U54GM115516), Northern New England Clinical & Translational Research Network; Wake Forest University Health Sciences (UL1TR001420), Wake Forest Clinical and Translational Science Institute; Northwestern University at Chicago (UL1TR001422), Northwestern University Clinical and Translational Science Institute; University of Cincinnati (UL1TR001425), Center for Clinical and Translational Science and Training; The University of Texas Medical Branch at Galveston (UL1TR001439), The Institute for Translational Sciences; Medical University of South Carolina (UL1TR001450), South Carolina Clinical & Translational Research Institute; University of Massachusetts Medical School Worcester (UL1TR001453), The UMass Center for Clinical and Translational Science; University of Southern California (UL1TR001855), The Southern California Clinical and Translational Science Institute; Columbia University Irving Medical Center (UL1TR001873), Irving Institute for Clinical and Translational Research; George Washington Children's Research Institute (UL1TR001876), Clinical and Translational Science Institute at Children's National; University of Kentucky (UL1TR001998), UK Center for Clinical and Translational Science; University of Rochester (UL1TR002001), University of Rochester Clinical & Translational Science Institute; University of Illinois at Chicago (UL1TR002003), University of Illinois at Chicago Center for Clinical and Translational Science; Penn State Health Milton S Hershey Medical Center (UL1TR002014), Penn State Clinical and Translational Science Institute; The University of Michigan at Ann Arbor (UL1TR002240), Michigan Institute for Clinical and Health Research; Vanderbilt University Medical Center (UL1TR002243), Vanderbilt Institute for Clinical and Translational Research; University of Washington (UL1TR002319), Institute of Translational Health Sciences; Washington University in St Louis (UL1TR002345), Institute of Clinical and Translational Sciences; Oregon Health & Science University (UL1TR002369), Oregon Clinical and Translational Research Institute; University of Wisconsin-Madison (UL1TR002373), University of Wisconsin Institute for Clinical and Translational Research; Rush University Medical Center (UL1TR002389), The Institute for Translational Medicine (ITM); The University of Chicago (UL1TR002389), ITM; University of North Carolina at Chapel Hill (UL1TR002489), North Carolina Translational and Clinical Science Institute; University of Minnesota (UL1TR002494), Clinical and Translational Science Institute; Children's Hospital Colorado (UL1TR002535), Colorado Clinical and Translational Sciences Institute; The University of Iowa (UL1TR002537), Institute for Clinical and Translational Science; The University of Utah (UL1TR002538), Uhealth Center for Clinical and Translational Science; Tufts Medical Center (UL1TR002544), Tufts Clinical and Translational Science Institute; Duke University (UL1TR002553), Duke Clinical and Translational Science Institute; Virginia Commonwealth University (UL1TR002649), C Kenneth and Dianne Wright Center for Clinical and Translational Research; The Ohio State University (UL1TR002733), Center for Clinical and Translational Science; The University of Miami Leonard M Miller School of Medicine (UL1TR002736), University of Miami Clinical and Translational Science Institute; University of Virginia (UL1TR003015), Integrated Translational health Research Institute of Virginia (iTHRIV); Carilion Clinic (UL1TR003015), iTHRIV; University of Alabama at Birmingham (UL1TR003096), Center for Clinical and Translational Science; Johns Hopkins University (UL1TR003098), Johns Hopkins Institute for Clinical and Translational Research; University of Arkansas for Medical Sciences (UL1TR003107), UAMS Translational Research Institute; Nemours (U54GM104941), Delaware CTR ACCEL Program; University Medical Center New Orleans (U54GM104940), Louisiana Clinical and Translational Science Center; University of Colorado Denver, Anschutz Medical Campus (UL1TR002535), Colorado Clinical and Translational Sciences Institute; Mayo Clinic Rochester (UL1TR002377), Mayo Clinic Center for Clinical and Translational Science; Tulane University (UL1TR003096), Center for Clinical and Translational Science; Loyola University Medical Center (UL1TR002389), ITM; Advocate Health Care Network (UL1TR002389), ITM; OCHIN (INV-018455), Bill & Melinda Gates Foundation grant to Sage Bionetworks. The analyses described in this publication were conducted with data or tools accessed through the NCATS N3C Data Enclave and supported by NCATS U24 TR002306 and the NIAID of the NIH under Award Number R01AI127203-4S1. RCP's effort was supported by NIAID of the NIH (K23AI120855). This research was possible because of the patients whose information is included within the data and the organisations ( https://ncats.nih.gov/n3c/resources/data-contribution/data-transfer-agreement-signatories) and scientists who have contributed to the ongoing development of this community resource ( https://doi.org/10.1093/jamia/ocaa196). The content of this publication and the opinions expressed do not necessarily reflect the views or policies of the NIH nor does mention of trade names, commercial products, or organisations imply endorsement by the US Government. We gratefully acknowledge contributions from the N3C consortium authors: Richard Moffitt, Hana Akelsrod, Keith A Crandall, Nora Francheschini, Evan French, G Caleb-Alexander, Kathleen M Andersen, Amanda J Vinson, Todd T Brown, Roslyn B Mannon. We also acknowledge support from the N3C Publication Committee and Miranda Cole-Nixon in the preparation of this manuscript. Funding Information: The analyses described in this publication were conducted with data or tools accessed through the National Center for Advancing Translational Sciences (NCATS) N3C Data Enclave and supported by NCATS U24 TR002306 and the National Institute of Allergy and Infectious Diseases (NIAID) of the NIH under Award Number R01AI127203-4S1. This study was also supported by the following grants from Stony Brook University (U24TR002306); University of Oklahoma Health Sciences Center (U54GM104938), Oklahoma Clinical and Translational Science Institute; West Virginia University (U54GM104942), West Virginia Clinical and Translational Science Institute; University of Mississippi Medical Center (U54GM115428), Mississippi Center for Clinical and Translational Research; University of Nebraska Medical Center (U54GM115458), Great Plains IDeA-Clinical & Translational Research; Maine Medical Center (U54GM115516), Northern New England Clinical & Translational Research Network; Wake Forest University Health Sciences (UL1TR001420), Wake Forest Clinical and Translational Science Institute; Northwestern University at Chicago (UL1TR001422), Northwestern University Clinical and Translational Science Institute; University of Cincinnati (UL1TR001425), Center for Clinical and Translational Science and Training; The University of Texas Medical Branch at Galveston (UL1TR001439), The Institute for Translational Sciences; Medical University of South Carolina (UL1TR001450), South Carolina Clinical & Translational Research Institute; University of Massachusetts Medical School Worcester (UL1TR001453), The UMass Center for Clinical and Translational Science; University of Southern California (UL1TR001855), The Southern California Clinical and Translational Science Institute; Columbia University Irving Medical Center (UL1TR001873), Irving Institute for Clinical and Translational Research; George Washington Children's Research Institute (UL1TR001876), Clinical and Translational Science Institute at Children's National; University of Kentucky (UL1TR001998), UK Center for Clinical and Translational Science; University of Rochester (UL1TR002001), University of Rochester Clinical & Translational Science Institute; University of Illinois at Chicago (UL1TR002003), University of Illinois at Chicago Center for Clinical and Translational Science; Penn State Health Milton S Hershey Medical Center (UL1TR002014), Penn State Clinical and Translational Science Institute; The University of Michigan at Ann Arbor (UL1TR002240), Michigan Institute for Clinical and Health Research; Vanderbilt University Medical Center (UL1TR002243), Vanderbilt Institute for Clinical and Translational Research; University of Washington (UL1TR002319), Institute of Translational Health Sciences; Washington University in St Louis (UL1TR002345), Institute of Clinical and Translational Sciences; Oregon Health & Science University (UL1TR002369), Oregon Clinical and Translational Research Institute; University of Wisconsin-Madison (UL1TR002373), University of Wisconsin Institute for Clinical and Translational Research; Rush University Medical Center (UL1TR002389), The Institute for Translational Medicine (ITM); The University of Chicago (UL1TR002389), ITM; University of North Carolina at Chapel Hill (UL1TR002489), North Carolina Translational and Clinical Science Institute; University of Minnesota (UL1TR002494), Clinical and Translational Science Institute; Children's Hospital Colorado (UL1TR002535), Colorado Clinical and Translational Sciences Institute; The University of Iowa (UL1TR002537), Institute for Clinical and Translational Science; The University of Utah (UL1TR002538), Uhealth Center for Clinical and Translational Science; Tufts Medical Center (UL1TR002544), Tufts Clinical and Translational Science Institute; Duke University (UL1TR002553), Duke Clinical and Translational Science Institute; Virginia Commonwealth University (UL1TR002649), C Kenneth and Dianne Wright Center for Clinical and Translational Research; The Ohio State University (UL1TR002733), Center for Clinical and Translational Science; The University of Miami Leonard M Miller School of Medicine (UL1TR002736), University of Miami Clinical and Translational Science Institute; University of Virginia (UL1TR003015), Integrated Translational health Research Institute of Virginia (iTHRIV); Carilion Clinic (UL1TR003015), iTHRIV; University of Alabama at Birmingham (UL1TR003096), Center for Clinical and Translational Science; Johns Hopkins University (UL1TR003098), Johns Hopkins Institute for Clinical and Translational Research; University of Arkansas for Medical Sciences (UL1TR003107), UAMS Translational Research Institute; Nemours (U54GM104941), Delaware CTR ACCEL Program; University Medical Center New Orleans (U54GM104940), Louisiana Clinical and Translational Science Center; University of Colorado Denver, Anschutz Medical Campus (UL1TR002535), Colorado Clinical and Translational Sciences Institute; Mayo Clinic Rochester (UL1TR002377), Mayo Clinic Center for Clinical and Translational Science; Tulane University (UL1TR003096), Center for Clinical and Translational Science; Loyola University Medical Center (UL1TR002389), ITM; Advocate Health Care Network (UL1TR002389), ITM; OCHIN (INV-018455), Bill & Melinda Gates Foundation grant to Sage Bionetworks. The analyses described in this publication were conducted with data or tools accessed through the NCATS N3C Data Enclave and supported by NCATS U24 TR002306 and the NIAID of the NIH under Award Number R01AI127203-4S1. RCP's effort was supported by NIAID of the NIH (K23AI120855). This research was possible because of the patients whose information is included within the data and the organisations ( https://ncats.nih.gov/n3c/resources/data-contribution/data-transfer-agreement-signatories ) and scientists who have contributed to the ongoing development of this community resource ( https://doi.org/10.1093/jamia/ocaa196 ). The content of this publication and the opinions expressed do not necessarily reflect the views or policies of the NIH nor does mention of trade names, commercial products, or organisations imply endorsement by the US Government. We gratefully acknowledge contributions from the N3C consortium authors: Richard Moffitt, Hana Akelsrod, Keith A Crandall, Nora Francheschini, Evan French, G Caleb-Alexander, Kathleen M Andersen, Amanda J Vinson, Todd T Brown, Roslyn B Mannon. We also acknowledge support from the N3C Publication Committee and Miranda Cole-Nixon in the preparation of this manuscript. Publisher Copyright: © 2021 Elsevier Ltd
PY - 2021/11
Y1 - 2021/11
N2 - Background: Evidence of whether people living with HIV are at elevated risk of adverse COVID-19 outcomes is inconclusive. We aimed to investigate this association using the population-based National COVID Cohort Collaborative (N3C) data in the USA. Methods: We included all adult (aged ≥18 years) COVID-19 cases with any health-care encounter from 54 clinical sites in the USA, with data being deposited into the N3C. The outcomes were COVID-19 disease severity, hospitalisation, and mortality. Encounters in the same health-care system beginning on or after January 1, 2018, were also included to provide information about pre-existing health conditions (eg, comorbidities). Logistic regression models were employed to estimate the association of HIV infection and HIV markers (CD4 cell count, viral load) with hospitalisation, mortality, and clinical severity of COVID-19 (multinomial). The models were initially adjusted for demographic characteristics, then subsequently adjusted for smoking, obesity, and a broad range of comorbidities. Interaction terms were added to assess moderation effects by demographic characteristics. Findings: In the harmonised N3C data release set from Jan 1, 2020, to May 8, 2021, there were 1 436 622 adult COVID-19 cases, of these, 13 170 individuals had HIV infection. A total of 26 130 COVID-19 related deaths occurred, with 445 among people with HIV. After adjusting for all the covariates, people with HIV had higher odds of COVID-19 death (adjusted odds ratio 1·29, 95% CI 1·16–1·44) and hospitalisation (1·20, 1·15–1·26), but lower odds of mild or moderate COVID-19 (0·61, 0·59–0·64) than people without HIV. Interaction terms revealed that the elevated odds were higher among older age groups, male, Black, African American, Hispanic, or Latinx adults. A lower CD4 cell count (<200 cells per μL) was associated with all the adverse COVID-19 outcomes, while viral suppression was only associated with reduced hospitalisation. Interpretation: Given the COVID-19 pandemic's exacerbating effects on health inequities, public health and clinical communities must strengthen services and support to prevent aggravated COVID-19 outcomes among people with HIV, particularly for those with pronounced immunodeficiency. Funding: National Center for Advancing Translational Sciences, National Institute of Allergy and Infectious Diseases, National Institutes of Health, USA.
AB - Background: Evidence of whether people living with HIV are at elevated risk of adverse COVID-19 outcomes is inconclusive. We aimed to investigate this association using the population-based National COVID Cohort Collaborative (N3C) data in the USA. Methods: We included all adult (aged ≥18 years) COVID-19 cases with any health-care encounter from 54 clinical sites in the USA, with data being deposited into the N3C. The outcomes were COVID-19 disease severity, hospitalisation, and mortality. Encounters in the same health-care system beginning on or after January 1, 2018, were also included to provide information about pre-existing health conditions (eg, comorbidities). Logistic regression models were employed to estimate the association of HIV infection and HIV markers (CD4 cell count, viral load) with hospitalisation, mortality, and clinical severity of COVID-19 (multinomial). The models were initially adjusted for demographic characteristics, then subsequently adjusted for smoking, obesity, and a broad range of comorbidities. Interaction terms were added to assess moderation effects by demographic characteristics. Findings: In the harmonised N3C data release set from Jan 1, 2020, to May 8, 2021, there were 1 436 622 adult COVID-19 cases, of these, 13 170 individuals had HIV infection. A total of 26 130 COVID-19 related deaths occurred, with 445 among people with HIV. After adjusting for all the covariates, people with HIV had higher odds of COVID-19 death (adjusted odds ratio 1·29, 95% CI 1·16–1·44) and hospitalisation (1·20, 1·15–1·26), but lower odds of mild or moderate COVID-19 (0·61, 0·59–0·64) than people without HIV. Interaction terms revealed that the elevated odds were higher among older age groups, male, Black, African American, Hispanic, or Latinx adults. A lower CD4 cell count (<200 cells per μL) was associated with all the adverse COVID-19 outcomes, while viral suppression was only associated with reduced hospitalisation. Interpretation: Given the COVID-19 pandemic's exacerbating effects on health inequities, public health and clinical communities must strengthen services and support to prevent aggravated COVID-19 outcomes among people with HIV, particularly for those with pronounced immunodeficiency. Funding: National Center for Advancing Translational Sciences, National Institute of Allergy and Infectious Diseases, National Institutes of Health, USA.
UR - http://www.scopus.com/inward/record.url?scp=85119991418&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119991418&partnerID=8YFLogxK
U2 - 10.1016/S2352-3018(21)00239-3
DO - 10.1016/S2352-3018(21)00239-3
M3 - Article
C2 - 34655550
AN - SCOPUS:85119991418
SN - 2352-3018
VL - 8
SP - e690-e700
JO - The Lancet HIV
JF - The Lancet HIV
IS - 11
ER -