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Lewis NM, Zhu Y, Peltan ID, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Duggal A, Bender WS, Taghizadeh L, Brown SM, Hager DN, Gong MN, Mohamed A, Exline MC, Khan A, Wilson JG, Qadir N, Chang SY, Ginde AA, Mohr NM, Mallow C, Lauring AS, Johnson NJ, Gibbs KW, Kwon JH, Columbus C, Gottlieb RL, Raver C, Vaughn IA, Ramesh M, Johnson C, Lamerato L, Safdar B, Casey JD, Rice TW, Halasa N, Chappell JD, Grijalva CG, Talbot HK, Baughman A, Womack KN, Swan SA, Harker E, Price A, DeCuir J, Surie D, Ellington S, Self WH. Vaccine Effectiveness Against Influenza A-Associated Hospitalization, Organ Failure, and Death: United States, 2022-2023. Clin Infect Dis 2024; 78:1056-1064. [PMID: 38051664 DOI: 10.1093/cid/ciad677] [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: 08/09/2023] [Accepted: 11/07/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Influenza circulation during the 2022-2023 season in the United States largely returned to pre-coronavirus disease 2019 (COVID-19)-pandemic patterns and levels. Influenza A(H3N2) viruses were detected most frequently this season, predominately clade 3C.2a1b.2a, a close antigenic match to the vaccine strain. METHODS To understand effectiveness of the 2022-2023 influenza vaccine against influenza-associated hospitalization, organ failure, and death, a multicenter sentinel surveillance network in the United States prospectively enrolled adults hospitalized with acute respiratory illness between 1 October 2022, and 28 February 2023. Using the test-negative design, vaccine effectiveness (VE) estimates against influenza-associated hospitalization, organ failures, and death were measured by comparing the odds of current-season influenza vaccination in influenza-positive case-patients and influenza-negative, SARS-CoV-2-negative control-patients. RESULTS A total of 3707 patients, including 714 influenza cases (33% vaccinated) and 2993 influenza- and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-negative controls (49% vaccinated) were analyzed. VE against influenza-associated hospitalization was 37% (95% confidence interval [CI]: 27%-46%) and varied by age (18-64 years: 47% [30%-60%]; ≥65 years: 28% [10%-43%]), and virus (A[H3N2]: 29% [6%-46%], A[H1N1]: 47% [23%-64%]). VE against more severe influenza-associated outcomes included: 41% (29%-50%) against influenza with hypoxemia treated with supplemental oxygen; 65% (56%-72%) against influenza with respiratory, cardiovascular, or renal failure treated with organ support; and 66% (40%-81%) against influenza with respiratory failure treated with invasive mechanical ventilation. CONCLUSIONS During an early 2022-2023 influenza season with a well-matched influenza vaccine, vaccination was associated with reduced risk of influenza-associated hospitalization and organ failure.
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Affiliation(s)
- Nathaniel M Lewis
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah, and University of Utah, Salt Lake City, Utah, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Temple and Dallas, Texas, and Texas A&M University College of Medicine, Temple, Texas, USA
| | - Tresa McNeal
- Baylor Scott and White Health, and Baylor College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Leyla Taghizadeh
- Department of Emergency Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah, and University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Amira Mohamed
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St.Louis, Missouri, USA
| | | | - Robert L Gottlieb
- Baylor University Medical Center Dallas, Baylor, Scott & White Heart and Vascular Hospital, Baylor, Scott and White Research Institute, Dallas, Texas, USA
| | | | - Ivana A Vaughn
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA
| | - Mayur Ramesh
- Division of Infectious Diseases, Henry Ford Health, Detroit, Michigan, USA
| | - Cassandra Johnson
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lois Lamerato
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA
| | - Basmah Safdar
- Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Todd W Rice
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Elizabeth Harker
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Ashley Price
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Jennifer DeCuir
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Diya Surie
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Sascha Ellington
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt Institute for Clinical and Translational Research, and Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Bi Q, Dickerman BA, Nguyen HQ, Martin ET, Gaglani M, Wernli KJ, Balasubramani G, Flannery B, Lipsitch M, Cobey S. Reduced effectiveness of repeat influenza vaccination: distinguishing among within-season waning, recent clinical infection, and subclinical infection. medRxiv 2024:2023.03.12.23287173. [PMID: 37016669 PMCID: PMC10071822 DOI: 10.1101/2023.03.12.23287173] [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] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Studies have reported that prior-season influenza vaccination is associated with higher risk of clinical influenza infection among vaccinees. This effect might arise from incomplete consideration of within-season waning and recent infection. Using data from the US Flu Vaccine Effectiveness (VE) Network (2011-2012 to 2018-2019 seasons), we found that repeat vaccinees were vaccinated earlier in a season by one week. After accounting for waning VE, repeat vaccinees were still more likely to test positive for A(H3N2) (OR=1.11, 95%CI:1.02-1.21) but not for influenza B or A(H1N1). We found that clinical infection influenced individuals' decision to vaccinate in the following season while protecting against clinical infection of the same (sub)type. However, adjusting for recent clinical infections did not strongly influence the estimated effect of prior-season vaccination. In contrast, we found that adjusting for subclinical infection could theoretically attenuate this effect. Additional investigation is needed to determine the impact of subclinical infections on VE.
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Affiliation(s)
- Qifang Bi
- University of Chicago, Chicago, Illinois, USA
| | | | - Huong Q. Nguyen
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA
| | - Emily T. Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas, USA
- Texas A&M University College of Medicine, Temple, Texas, USA
| | - Karen J. Wernli
- Kaiser Permanente Bernard J. Tyson School of Medicine, Seattle, Washington, USA
| | - G.K. Balasubramani
- University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Brendan Flannery
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, US
| | - Marc Lipsitch
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Sarah Cobey
- University of Chicago, Chicago, Illinois, USA
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3
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Surie D, Yuengling KA, DeCuir J, Zhu Y, Lauring AS, Gaglani M, Ghamande S, Peltan ID, Brown SM, Ginde AA, Martinez A, Mohr NM, Gibbs KW, Hager DN, Ali H, Prekker ME, Gong MN, Mohamed A, Johnson NJ, Srinivasan V, Steingrub JS, Leis AM, Khan A, Hough CL, Bender WS, Duggal A, Bendall EE, Wilson JG, Qadir N, Chang SY, Mallow C, Kwon JH, Exline MC, Shapiro NI, Columbus C, Vaughn IA, Ramesh M, Mosier JM, Safdar B, Casey JD, Talbot HK, Rice TW, Halasa N, Chappell JD, Grijalva CG, Baughman A, Womack KN, Swan SA, Johnson CA, Lwin CT, Lewis NM, Ellington S, McMorrow ML, Martin ET, Self WH. Severity of Respiratory Syncytial Virus vs COVID-19 and Influenza Among Hospitalized US Adults. JAMA Netw Open 2024; 7:e244954. [PMID: 38573635 DOI: 10.1001/jamanetworkopen.2024.4954] [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] [Indexed: 04/05/2024] Open
Abstract
Importance On June 21, 2023, the Centers for Disease Control and Prevention recommended the first respiratory syncytial virus (RSV) vaccines for adults aged 60 years and older using shared clinical decision-making. Understanding the severity of RSV disease in adults can help guide this clinical decision-making. Objective To describe disease severity among adults hospitalized with RSV and compare it with the severity of COVID-19 and influenza disease by vaccination status. Design, Setting, and Participants In this cohort study, adults aged 18 years and older admitted to the hospital with acute respiratory illness and laboratory-confirmed RSV, SARS-CoV-2, or influenza infection were prospectively enrolled from 25 hospitals in 20 US states from February 1, 2022, to May 31, 2023. Clinical data during each patient's hospitalization were collected using standardized forms. Data were analyzed from August to October 2023. Exposures RSV, SARS-CoV-2, or influenza infection. Main Outcomes and Measures Using multivariable logistic regression, severity of RSV disease was compared with COVID-19 and influenza severity, by COVID-19 and influenza vaccination status, for a range of clinical outcomes, including the composite of invasive mechanical ventilation (IMV) and in-hospital death. Results Of 7998 adults (median [IQR] age, 67 [54-78] years; 4047 [50.6%] female) included, 484 (6.1%) were hospitalized with RSV, 6422 (80.3%) were hospitalized with COVID-19, and 1092 (13.7%) were hospitalized with influenza. Among patients with RSV, 58 (12.0%) experienced IMV or death, compared with 201 of 1422 unvaccinated patients with COVID-19 (14.1%) and 458 of 5000 vaccinated patients with COVID-19 (9.2%), as well as 72 of 699 unvaccinated patients with influenza (10.3%) and 20 of 393 vaccinated patients with influenza (5.1%). In adjusted analyses, the odds of IMV or in-hospital death were not significantly different among patients hospitalized with RSV and unvaccinated patients hospitalized with COVID-19 (adjusted odds ratio [aOR], 0.82; 95% CI, 0.59-1.13; P = .22) or influenza (aOR, 1.20; 95% CI, 0.82-1.76; P = .35); however, the odds of IMV or death were significantly higher among patients hospitalized with RSV compared with vaccinated patients hospitalized with COVID-19 (aOR, 1.38; 95% CI, 1.02-1.86; P = .03) or influenza disease (aOR, 2.81; 95% CI, 1.62-4.86; P < .001). Conclusions and Relevance Among adults hospitalized in this US cohort during the 16 months before the first RSV vaccine recommendations, RSV disease was less common but similar in severity compared with COVID-19 or influenza disease among unvaccinated patients and more severe than COVID-19 or influenza disease among vaccinated patients for the most serious outcomes of IMV or death.
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Affiliation(s)
- Diya Surie
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Katharine A Yuengling
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jennifer DeCuir
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas
- Texas A&M University College of Medicine, Temple
- Baylor College of Medicine, Temple, Texas
| | - Shekhar Ghamande
- Baylor Scott & White Health, Temple, Texas
- Texas A&M University College of Medicine, Temple
- Baylor College of Medicine, Temple, Texas
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora
| | - Amanda Martinez
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora
| | | | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Harith Ali
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Matthew E Prekker
- Department of Emergency Medicine, Hennepin County Medical Center, Minneapolis, Minnesota
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Nicholas J Johnson
- Department of Emergency Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle
| | | | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts
| | - Aleda M Leis
- School of Public Health, University of Michigan, Ann Arbor
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland
| | - Catherine L Hough
- Department of Medicine, Oregon Health and Sciences University, Portland
| | | | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Emily E Bendall
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California
| | - Nida Qadir
- Department of Medicine, University of California, Los Angeles
| | - Steven Y Chang
- Department of Medicine, University of California, Los Angeles
| | | | - Jennie H Kwon
- Department of Medicine, Washington University in St Louis, St Louis, Missouri
| | | | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Cristie Columbus
- Baylor Scott &White Health, Dallas, Texas
- Texas A&M University College of Medicine, Dallas
| | - Ivana A Vaughn
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan
| | - Mayur Ramesh
- Division of Infectious Diseases, Henry Ford Health, Detroit, Michigan
| | - Jarrod M Mosier
- Department of Emergency Medicine, University of Arizona, Tucson
| | - Basmah Safdar
- Yale University School of Medicine, New Haven, Connecticut
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Todd W Rice
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Cassandra A Johnson
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Cara T Lwin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Nathaniel M Lewis
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sascha Ellington
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Meredith L McMorrow
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor
| | - Wesley H Self
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee
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Adams K, Weber ZA, Yang DH, Klein NP, DeSilva MB, Dascomb K, Irving SA, Naleway AL, Rao S, Gaglani M, Flannery B, Garg S, Kharbanda AB, Grannis SJ, Ong TC, Embi PJ, Natarajan K, Fireman B, Zerbo O, Goddard K, Timbol J, Hansen JR, Grisel N, Arndorfer J, Ball SW, Dunne MM, Kirshner L, Chung JR, Tenforde MW. Vaccine Effectiveness Against Pediatric Influenza-A-Associated Urgent Care, Emergency Department, and Hospital Encounters During the 2022-2023 Season: VISION Network. Clin Infect Dis 2024; 78:746-755. [PMID: 37972288 PMCID: PMC10954409 DOI: 10.1093/cid/ciad704] [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: 09/12/2023] [Revised: 10/27/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND During the 2022-2023 influenza season, the United States experienced the highest influenza-associated pediatric hospitalization rate since 2010-2011. Influenza A/H3N2 infections were predominant. METHODS We analyzed acute respiratory illness (ARI)-associated emergency department or urgent care (ED/UC) encounters or hospitalizations at 3 health systems among children and adolescents aged 6 months-17 years who had influenza molecular testing during October 2022-March 2023. We estimated influenza A vaccine effectiveness (VE) using a test-negative approach. The odds of vaccination among influenza-A-positive cases and influenza-negative controls were compared after adjusting for confounders and applying inverse-propensity-to-be-vaccinated weights. We developed overall and age-stratified VE models. RESULTS Overall, 13 547 of 44 787 (30.2%) eligible ED/UC encounters and 263 of 1862 (14.1%) hospitalizations were influenza-A-positive cases. Among ED/UC patients, 15.2% of influenza-positive versus 27.1% of influenza-negative patients were vaccinated; VE was 48% (95% confidence interval [CI], 44-52%) overall, 53% (95% CI, 47-58%) among children aged 6 months-4 years, and 38% (95% CI, 30-45%) among those aged 9-17 years. Among hospitalizations, 17.5% of influenza-positive versus 33.4% of influenza-negative patients were vaccinated; VE was 40% (95% CI, 6-61%) overall, 56% (95% CI, 23-75%) among children ages 6 months-4 years, and 46% (95% CI, 2-70%) among those 5-17 years. CONCLUSIONS During the 2022-2023 influenza season, vaccination reduced the risk of influenza-associated ED/UC encounters and hospitalizations by almost half (overall VE, 40-48%). Influenza vaccination is a critical tool to prevent moderate-to-severe influenza illness in children and adolescents.
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Affiliation(s)
- Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Zachary A Weber
- Department of Clinical Research, Westat, Rockville, Maryland, USA
| | - Duck-Hye Yang
- Department of Clinical Research, Westat, Rockville, Maryland, USA
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Malini B DeSilva
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Stephanie A Irving
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Allison L Naleway
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Manjusha Gaglani
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott & White Health and Baylor College of Medicine, Temple, Texas, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Anupam B Kharbanda
- Department of Emergency Medicine, Children's Minnesota, Minneapolis, Minnesota, USA
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Toan C Ong
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Peter J Embi
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
- Medical Informatics Services, New York-Presbyterian Hospital, New York, New York, USA
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Julius Timbol
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - John R Hansen
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Sarah W Ball
- Department of Clinical Research, Westat, Rockville, Maryland, USA
| | - Margaret M Dunne
- Department of Clinical Research, Westat, Rockville, Maryland, USA
| | - Lindsey Kirshner
- Department of Clinical Research, Westat, Rockville, Maryland, USA
| | - Jessie R Chung
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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5
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Romine JK, Li H, Coughlin MM, Jones JM, Britton A, Tyner HL, Fuller SB, Bloodworth R, Edwards LJ, Etoule JN, Morrill TC, Newes-Adeyi G, Olsho LEW, Gaglani M, Fowlkes A, Hollister J, Bedrick EJ, Uhrlaub JL, Beitel S, Sprissler RS, Lyski Z, Porter CJ, Rivers P, Lutrick K, Caban-Martinez AJ, Yoon SK, Phillips AL, Naleway AL, Burgess JL, Ellingson KD. Hybrid immunity and SARS-CoV-2 antibodies: results of the HEROES-RECOVER prospective cohort study. Clin Infect Dis 2024:ciae130. [PMID: 38466720 DOI: 10.1093/cid/ciae130] [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: 11/30/2023] [Revised: 02/23/2024] [Accepted: 03/06/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND There are limited data on whether hybrid immunity differs by count and order of immunity-conferring events (SARS-CoV-2 infection or COVID-19 vaccination). From a cohort of health care personnel, first responders, and other frontline workers in six US states, we examined heterogeneity of the effect of hybrid immunity on SARS-CoV-2 antibody levels. METHODS Exposures included event-count (sum of infections and vaccine doses) and event-order, categorized into seven permutations of vaccination and/or infection. Outcome was level of serum binding antibodies against receptor binding domain (RBD) of the ancestral SARS-CoV-2 spike protein (total RBD-binding Ig), measured by enzyme-linked immunosorbent assay. Mean antibody levels were examined up to 365 days after each of the 1st-7th events. RESULTS Analysis included 5,793 participants measured from August 7, 2020 to April 15, 2023. Hybrid immunity from infection before one or two vaccine doses elicited modestly superior antibody responses after the 2nd and 3rd events (compared to infections or vaccine-doses alone). This superiority was not evident after the 4th and 5th events (additional doses). Among adults infected before vaccination, adjusted geometric mean ratios (95% CI) of anti-RBD early response (versus vaccinated-only) were 1.23 (1.14-1.33), 1.09 (1.03-1.14), 0.87 (0.81-0.94), and 0.99 (0.85-1.15) after the 2nd-5th events, respectively. Post-vaccination infections elicited superior responses: adjusted geometric mean ratios (95% CI) of anti-RBD early response (versus vaccinated-only) were: 0.93 (0.75-1.17), 1.11 (1.06-1.16), 1.17 (1.11-1.24), and 1.20 (1.07-1.34) after the 2nd-5th events, respectively. CONCLUSIONS AND RELEVANCE Findings reflecting heterogeneity in antibody levels by permutations of infection and vaccination history could inform COVID-19 vaccination policy.
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Affiliation(s)
- James K Romine
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Huashi Li
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Melissa M Coughlin
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jefferson M Jones
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Amadea Britton
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Harmony L Tyner
- St. Luke's Regional Health Care System, Duluth, Minnesota, USA
| | | | | | | | | | | | | | | | | | - Ashley Fowlkes
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - James Hollister
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Edward J Bedrick
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Jennifer L Uhrlaub
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Shawn Beitel
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Ryan S Sprissler
- University of Arizona Genetics Core, Office for Research, Innovation and Impact, University of Arizona, Tucson, Arizona, USA
| | - Zoe Lyski
- Department of Immunobiology, University of Arizona, Tucson, Arizona, USA
| | - Cynthia J Porter
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Patrick Rivers
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Karen Lutrick
- College of Medicine - Tucson, University of Arizona, Tucson, Arizona, USA
| | | | - Sarang K Yoon
- University of Utah Health, Rocky Mountain Center for Occupational and Environmental Health, Salt Lake City, Utah, USA
| | - Andrew L Phillips
- University of Utah Health, Rocky Mountain Center for Occupational and Environmental Health, Salt Lake City, Utah, USA
| | - Allison L Naleway
- Kaiser Permanente Northwest Center for Health Research, Portland, Oregon, USA
| | - Jefferey L Burgess
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Katherine D Ellingson
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
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6
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King JP, Chung JR, Donahue JG, Martin ET, Leis AM, Monto AS, Gaglani M, Dunnigan K, Raiyani C, Saydah S, Flannery B, Belongia EA. Post-recovery health domain scores among outpatients by SARS-CoV-2 testing status during the pre-Delta period. BMC Infect Dis 2024; 24:300. [PMID: 38454352 PMCID: PMC10921777 DOI: 10.1186/s12879-024-09108-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 02/06/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Symptoms of COVID-19 including fatigue and dyspnea, may persist for weeks to months after SARS-CoV-2 infection. This study compared self-reported disability among SARS-CoV-2-positive and negative persons with mild to moderate COVID-19-like illness who presented for outpatient care before widespread COVID-19 vaccination. METHODS Unvaccinated adults with COVID-19-like illness enrolled within 10 days of illness onset at three US Flu Vaccine Effectiveness Network sites were tested for SARS-CoV-2 by molecular assay. Enrollees completed an enrollment questionnaire and two follow-up surveys (7-24 days and 2-7 months after illness onset) online or by phone to assess illness characteristics and health status. The second follow-up survey included questions measuring global health, physical function, fatigue, and dyspnea. Scores in the four domains were compared by participants' SARS-CoV-2 test results in univariate analysis and multivariable Gamma regression. RESULTS During September 22, 2020 - February 13, 2021, 2712 eligible adults were enrolled, 1541 completed the first follow-up survey, and 650 completed the second follow-up survey. SARS-CoV-2-positive participants were more likely to report fever at acute illness but were otherwise comparable to SARS-CoV-2-negative participants. At first follow-up, SARS-CoV-2-positive participants were less likely to have reported fully or mostly recovered from their illness compared to SARS-CoV-2-negative participants. At second follow-up, no differences by SARS-CoV-2 test results were detected in the four domains in the multivariable model. CONCLUSION Self-reported disability was similar among outpatient SARS-CoV-2-positive and -negative adults 2-7 months after illness onset.
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Affiliation(s)
- Jennifer P King
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, 1000 North Oak Avenue ML2, Marshfield, WI, 54449, USA.
| | - Jessie R Chung
- Influenza Division, US Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop H24-7, Atlanta, GA, 30329, USA.
| | - James G Donahue
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, 1000 North Oak Avenue ML2, Marshfield, WI, 54449, USA
| | - Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Aleda M Leis
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Texas A&M University College of Medicine, Temple, TX, USA
| | - Kayan Dunnigan
- Baylor Scott & White Research Institute, Temple, TX, USA
| | | | - Sharon Saydah
- Coronavirus and Other Respiratory Viruses Division, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Brendan Flannery
- Influenza Division, US Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop H24-7, Atlanta, GA, 30329, USA
| | - Edward A Belongia
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, 1000 North Oak Avenue ML2, Marshfield, WI, 54449, USA
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7
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Rivers P, Porter C, LeClair LB, Jeddy Z, Fowlkes AL, Lamberte JM, Herder K, Smith M, Rai R, Grant L, Hegmann KT, Jovel K, Vaughan M, Mathenge C, Phillips AL, Khan S, Britton A, Pilishvili T, Burgess JL, Newes-Adeyi G, Gaglani M, Caban-Martinez A, Yoon S, Lutrick K. Longitudinal parental perception of COVID-19 vaccines for children in a multi-site, cohort study. Vaccine 2024; 42:1512-1520. [PMID: 38307743 DOI: 10.1016/j.vaccine.2024.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 12/13/2023] [Accepted: 01/02/2024] [Indexed: 02/04/2024]
Abstract
OBJECTIVES Pediatric COVID-19 vaccine hesitancy and uptake is not well understood. Among parents of a prospective cohort of children aged 6 months-17 years, we assessed COVID-19 vaccine knowledge, attitudes, and practices (KAP), and uptake over 15 months. METHODS The PROTECT study collected sociodemographic characteristics of children at enrollment and COVID-19 vaccination data and parental KAPs quarterly. Univariable and multivariable logistic regression models were used to test the effect of KAPs on vaccine uptake; McNemar's test for paired samples was used to evaluate KAP change over time. RESULTS A total of 2,837 children were enrolled, with more than half (61 %) vaccinated by October 2022. Positive parental beliefs about vaccine safety and effectiveness strongly predicted vaccine uptake among children aged 5-11 years (aOR 13.1, 95 % CI 8.5-20.4 and aOR 6.4, 95 % CI 4.3-9.6, respectively) and children aged 12+ years (aOR 7.0, 95 % CI 3.8-13.0 and aOR 8.9, 95 % CI 4.4-18.0). Compared to enrollment, at follow-up parents (of vaccinated and unvaccinated children) reported higher self-assessed vaccine knowledge, but more negative beliefs towards vaccine safety, effectiveness, and trust in government. Parents unlikely to vaccinate their children at enrollment reported more positive beliefs on vaccine knowledge, safety, and effectiveness at follow-up. CONCLUSION The PROTECT cohort allows for an examination of factors driving vaccine uptake and how beliefs about COVID-19 and the COVID-19 vaccines change over time. Findings of the current analysis suggest that these beliefs change over time and policies aiming to increase vaccine uptake should focus on vaccine safety and effectiveness.
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Affiliation(s)
| | | | | | - Zuha Jeddy
- Abt Associates, Rockville, MD, United States
| | - Ashley L Fowlkes
- Centers for Disease Control and Prevention, Atlanta, GA, United States
| | | | | | | | - Ramona Rai
- Abt Associates, Rockville, MD, United States
| | - Lauren Grant
- Centers for Disease Control and Prevention, Atlanta, GA, United States
| | | | | | | | | | | | - Sana Khan
- University of Arizona, Tucson, AZ, United States
| | - Amadea Britton
- Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Tamara Pilishvili
- Centers for Disease Control and Prevention, Atlanta, GA, United States
| | | | | | | | | | - Sarang Yoon
- Utah University, Salt Lake City, UT, United States
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8
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Levy ME, Yang D, Dunne MM, Miley K, Irving SA, Grannis SJ, Weber ZA, Griggs EP, Spark TL, Bassett E, Embi PJ, Gaglani M, Natarajan K, Valvi NR, Ong TC, Naleway AL, Stenehjem E, Klein NP, Link‐Gelles R, DeSilva MB, Kharbanda AB, Raiyani C, Beaton MA, Dixon BE, Rao S, Dascomb K, Patel P, Mamawala M, Han J, Fadel WF, Barron MA, Grisel N, Dickerson M, Liao I, Arndorfer J, Najdowski M, Murthy K, Ray C, Tenforde MW, Ball SW. Risk of COVID-19 Hospitalization and Protection Associated With mRNA Vaccination Among US Adults With Psychiatric Disorders. Influenza Other Respir Viruses 2024; 18:e13269. [PMID: 38494192 PMCID: PMC10944689 DOI: 10.1111/irv.13269] [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: 08/15/2023] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND Although psychiatric disorders have been associated with reduced immune responses to other vaccines, it remains unknown whether they influence COVID-19 vaccine effectiveness (VE). This study evaluated risk of COVID-19 hospitalization and estimated mRNA VE stratified by psychiatric disorder status. METHODS In a retrospective cohort analysis of the VISION Network in four US states, the rate of laboratory-confirmed COVID-19-associated hospitalization between December 2021 and August 2022 was compared across psychiatric diagnoses and by monovalent mRNA COVID-19 vaccination status using Cox proportional hazards regression. RESULTS Among 2,436,999 adults, 22.1% had ≥1 psychiatric disorder. The incidence of COVID-19-associated hospitalization was higher among patients with any versus no psychiatric disorder (394 vs. 156 per 100,000 person-years, p < 0.001). Any psychiatric disorder (adjusted hazard ratio [aHR], 1.27; 95% CI, 1.18-1.37) and mood (aHR, 1.25; 95% CI, 1.15-1.36), anxiety (aHR, 1.33, 95% CI, 1.22-1.45), and psychotic (aHR, 1.41; 95% CI, 1.14-1.74) disorders were each significant independent predictors of hospitalization. Among patients with any psychiatric disorder, aHRs for the association between vaccination and hospitalization were 0.35 (95% CI, 0.25-0.49) after a recent second dose, 0.08 (95% CI, 0.06-0.11) after a recent third dose, and 0.33 (95% CI, 0.17-0.66) after a recent fourth dose, compared to unvaccinated patients. Corresponding VE estimates were 65%, 92%, and 67%, respectively, and were similar among patients with no psychiatric disorder (68%, 92%, and 79%). CONCLUSION Psychiatric disorders were associated with increased risk of COVID-19-associated hospitalization. However, mRNA vaccination provided similar protection regardless of psychiatric disorder status, highlighting its benefit for individuals with psychiatric disorders.
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Affiliation(s)
| | | | | | | | | | - Shaun J. Grannis
- Center for Biomedical InformaticsRegenstrief InstituteIndianapolisIndianaUSA
- School of MedicineIndiana UniversityIndianapolisIndianaUSA
| | | | - Eric P. Griggs
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory DiseasesCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | | | | | - Peter J. Embi
- Center for Biomedical InformaticsRegenstrief InstituteIndianapolisIndianaUSA
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Manjusha Gaglani
- Baylor Scott & White HealthTempleTexasUSA
- Texas A&M University College of MedicineTempleTexasUSA
| | - Karthik Natarajan
- Department of Biomedical InformaticsColumbia University Irving Medical CenterNew YorkNew YorkUSA
- New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Nimish R. Valvi
- Center for Biomedical InformaticsRegenstrief InstituteIndianapolisIndianaUSA
| | - Toan C. Ong
- School of MedicineUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | | | - Edward Stenehjem
- Division of Infectious Diseases and Clinical EpidemiologyIntermountain HealthcareSalt Lake CityUtahUSA
| | - Nicola P. Klein
- Kaiser Permanente Vaccine Study CenterKaiser Permanente Northern California Division of ResearchOaklandCaliforniaUSA
| | - Ruth Link‐Gelles
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory DiseasesCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | | | | | | | - Maura A. Beaton
- Department of Biomedical InformaticsColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Brian E. Dixon
- Center for Biomedical InformaticsRegenstrief InstituteIndianapolisIndianaUSA
- Fairbanks School of Public HealthIndiana UniversityIndianapolisIndianaUSA
| | - Suchitra Rao
- School of MedicineUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical EpidemiologyIntermountain HealthcareSalt Lake CityUtahUSA
| | - Palak Patel
- Influenza Division, National Center for Immunization and Respiratory DiseasesCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | | | - Jungmi Han
- Department of Biomedical InformaticsColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - William F. Fadel
- Center for Biomedical InformaticsRegenstrief InstituteIndianapolisIndianaUSA
- Fairbanks School of Public HealthIndiana UniversityIndianapolisIndianaUSA
| | - Michelle A. Barron
- School of MedicineUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical EpidemiologyIntermountain HealthcareSalt Lake CityUtahUSA
| | - Monica Dickerson
- Influenza Division, National Center for Immunization and Respiratory DiseasesCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | | | - Julie Arndorfer
- Division of Infectious Diseases and Clinical EpidemiologyIntermountain HealthcareSalt Lake CityUtahUSA
| | - Morgan Najdowski
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory DiseasesCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | | | - Caitlin Ray
- Influenza Division, National Center for Immunization and Respiratory DiseasesCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Mark W. Tenforde
- Influenza Division, National Center for Immunization and Respiratory DiseasesCenters for Disease Control and PreventionAtlantaGeorgiaUSA
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9
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Frutos AM, Price AM, Harker E, Reeves EL, Ahmad HM, Murugan V, Martin ET, House S, Saade EA, Zimmerman RK, Gaglani M, Wernli KJ, Walter EB, Michaels MG, Staat MA, Weinberg GA, Selvarangan R, Boom JA, Klein EJ, Halasa NB, Ginde AA, Gibbs KW, Zhu Y, Self WH, Tartof SY, Klein NP, Dascomb K, DeSilva MB, Weber ZA, Yang DH, Ball SW, Surie D, DeCuir J, Dawood FS, Moline HL, Toepfer AP, Clopper BR, Link-Gelles R, Payne AB, Chung JR, Flannery B, Lewis NM, Olson SM, Adams K, Tenforde MW, Garg S, Grohskopf LA, Reed C, Ellington S. Interim Estimates of 2023-24 Seasonal Influenza Vaccine Effectiveness - United States. MMWR Morb Mortal Wkly Rep 2024; 73:168-174. [PMID: 38421935 PMCID: PMC10907036 DOI: 10.15585/mmwr.mm7308a3] [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] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In the United States, annual influenza vaccination is recommended for all persons aged ≥6 months. Using data from four vaccine effectiveness (VE) networks during the 2023-24 influenza season, interim influenza VE was estimated among patients aged ≥6 months with acute respiratory illness-associated medical encounters using a test-negative case-control study design. Among children and adolescents aged 6 months-17 years, VE against influenza-associated outpatient visits ranged from 59% to 67% and against influenza-associated hospitalization ranged from 52% to 61%. Among adults aged ≥18 years, VE against influenza-associated outpatient visits ranged from 33% to 49% and against hospitalization from 41% to 44%. VE against influenza A ranged from 46% to 59% for children and adolescents and from 27% to 46% for adults across settings. VE against influenza B ranged from 64% to 89% for pediatric patients in outpatient settings and from 60% to 78% for all adults across settings. These findings demonstrate that the 2023-24 seasonal influenza vaccine is effective at reducing the risk for medically attended influenza virus infection. CDC recommends that all persons aged ≥6 months who have not yet been vaccinated this season get vaccinated while influenza circulates locally.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - CDC Influenza Vaccine Effectiveness Collaborators
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC; Epidemic Intelligence Service, CDC; Biodesign Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona; University of Michigan School of Public Health, Ann Arbor, Michigan; Washington University School of Medicine in St. Louis, St. Louis, Missouri; University Hospitals of Cleveland, Cleveland, Ohio; University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Baylor Scott & White Health, Temple, Texas; Baylor College of Medicine, Temple, Texas; Texas A&M University College of Medicine, Temple, Texas; Kaiser Permanente Washington Health Research Institute, Seattle, Washington; Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California; Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina; UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania; University of Cincinnati College of Medicine, Cincinnati, Ohio; Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio; University of Rochester School of Medicine and Dentistry, Rochester, New York; University of Missouri-Kansas City School of Medicine, Kansas City, Missouri; Children’s Mercy Hospital, Kansas City, Missouri; Baylor College of Medicine, Houston, Texas; Texas Children’s Hospital, Houston, Texas; Seattle Children’s Research Institute, Seattle, Washington; Vanderbilt University Medical Center, Nashville, Tennessee; University of Colorado School of Medicine, Aurora, Colorado; Wake Forest University School of Medicine, Winston-Salem, North Carolina; Kaiser Permanente Department of Research & Evaluation, Pasadena, California; Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California; Division of Infectious Diseases and Clinical Epidemiology, Intermountain Health, Salt Lake City, Utah; HealthPartners Institute, Minneapolis, Minnesota; Westat, Rockville, Maryland; Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC
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10
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DeCuir J, Payne AB, Self WH, Rowley EA, Dascomb K, DeSilva MB, Irving SA, Grannis SJ, Ong TC, Klein NP, Weber ZA, Reese SE, Ball SW, Barron MA, Naleway AL, Dixon BE, Essien I, Bride D, Natarajan K, Fireman B, Shah AB, Okwuazi E, Wiegand R, Zhu Y, Lauring AS, Martin ET, Gaglani M, Peltan ID, Brown SM, Ginde AA, Mohr NM, Gibbs KW, Hager DN, Prekker M, Mohamed A, Srinivasan V, Steingrub JS, Khan A, Busse LW, Duggal A, Wilson JG, Chang SY, Mallow C, Kwon JH, Exline MC, Columbus C, Vaughn IA, Safdar B, Mosier JM, Harris ES, Casey JD, Chappell JD, Grijalva CG, Swan SA, Johnson C, Lewis NM, Ellington S, Adams K, Tenforde MW, Paden CR, Dawood FS, Fleming-Dutra KE, Surie D, Link-Gelles R. Interim Effectiveness of Updated 2023-2024 (Monovalent XBB.1.5) COVID-19 Vaccines Against COVID-19-Associated Emergency Department and Urgent Care Encounters and Hospitalization Among Immunocompetent Adults Aged ≥18 Years - VISION and IVY Networks, September 2023-January 2024. MMWR Morb Mortal Wkly Rep 2024; 73:180-188. [PMID: 38421945 PMCID: PMC10907041 DOI: 10.15585/mmwr.mm7308a5] [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] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In September 2023, CDC's Advisory Committee on Immunization Practices recommended updated 2023-2024 (monovalent XBB.1.5) COVID-19 vaccination for all persons aged ≥6 months to prevent COVID-19, including severe disease. However, few estimates of updated vaccine effectiveness (VE) against medically attended illness are available. This analysis evaluated VE of an updated COVID-19 vaccine dose against COVID-19-associated emergency department (ED) or urgent care (UC) encounters and hospitalization among immunocompetent adults aged ≥18 years during September 2023-January 2024 using a test-negative, case-control design with data from two CDC VE networks. VE against COVID-19-associated ED/UC encounters was 51% (95% CI = 47%-54%) during the first 7-59 days after an updated dose and 39% (95% CI = 33%-45%) during the 60-119 days after an updated dose. VE estimates against COVID-19-associated hospitalization from two CDC VE networks were 52% (95% CI = 47%-57%) and 43% (95% CI = 27%-56%), with a median interval from updated dose of 42 and 47 days, respectively. Updated COVID-19 vaccine provided increased protection against COVID-19-associated ED/UC encounters and hospitalization among immunocompetent adults. These results support CDC recommendations for updated 2023-2024 COVID-19 vaccination. All persons aged ≥6 months should receive updated 2023-2024 COVID-19 vaccine.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - CDC COVID-19 Vaccine Effectiveness Collaborators
- Coronavirus and Other
Respiratory Viruses Division, National Center for Immunization and Respiratory
Diseases, CDC; Vanderbilt University Medical Center, Nashville,
Tennessee; Westat,
Rockville, Maryland; Division of Infectious Diseases and Clinical Epidemiology,
Intermountain Healthcare, Salt Lake City, Utah; HealthPartners Institute,
Minneapolis, Minnesota; Kaiser Permanente Center for Health Research,
Portland, Oregon; Indiana University School of Medicine, Indianapolis,
Indiana; Regenstrief
Institute Center for Biomedical Informatics, Indianapolis, Indiana; University of Colorado
School of Medicine, Aurora, Colorado; Kaiser Permanente Vaccine Study Center, Kaiser
Permanente Northern California Division of Research, Oakland, California;
Department of
Biomedical Informatics, Columbia University Irving Medical Center, New York, New
York; New
York-Presbyterian Hospital, New York, New York; General Dynamics Information
Technology, Falls Church, Virginia; University of Michigan, Ann Arbor, Michigan;
Baylor Scott
& White Health, Texas; Baylor College of Medicine, Temple, Texas; Intermountain Medical
Center, Murray, Utah; University of Utah, Salt Lake City, Utah; University of Iowa, Iowa
City, Iowa; Wake
Forest School of Medicine, Winston-Salem, North Carolina; Johns Hopkins University School of
Medicine, Baltimore, Maryland; Hennepin County Medical Center, Minneapolis,
Minnesota; Montefiore
Medical Center, Albert Einstein College of Medicine, New York, New York; University of Washington,
Seattle, Washington; Baystate Medical Center, Springfield, Massachusetts;
Oregon Health
& Science University, Portland, Oregon; Emory University, Atlanta, Georgia; Cleveland Clinic,
Cleveland, Ohio; Stanford University School of Medicine, Stanford,
California; Ronald
Reagan UCLA Medical Center, Los Angeles, California; University of Miami, Miami, Florida;
Washington
University in St. Louis, St. Louis, Missouri; The Ohio State University, Columbus,
Ohio; Texas A&M
University College of Medicine, Dallas, Texas; Henry Ford Health, Detroit,
Michigan; Yale
University School of Medicine, New Haven, Connecticut; University of Arizona, Tucson,
Arizona; Influenza
Division, National Center for Immunization and Respiratory Diseases, CDC
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11
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Sumner KM, Yadav R, Noble EK, Sandford R, Joshi D, Tartof SY, Wernli KJ, Martin ET, Gaglani M, Zimmerman RK, Talbot HK, Grijalva CG, Belongia EA, Chung JR, Rogier E, Coughlin MM, Flannery B. Anti-SARS-CoV-2 Antibody Levels Associated with COVID-19 Protection in Outpatients Tested for SARS-CoV-2, US Flu VE Network, October 2021-June 2022. J Infect Dis 2024:jiae090. [PMID: 38390968 DOI: 10.1093/infdis/jiae090] [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: 09/08/2023] [Revised: 02/14/2024] [Accepted: 02/20/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND We assessed associations between binding antibody (bAb) concentration <5 days of symptom onset and testing positive for COVID-19 among patients in a test-negative study. METHODS From October 2021─June 2022, study sites in seven states enrolled patients aged ≥6 months presenting with acute respiratory illness. Respiratory specimens were tested for SARS-CoV-2. In blood specimens, we measured concentrations of anti-SARS-CoV-2 antibodies against the ancestral strain spike protein receptor binding domain (RBD) and nucleocapsid (N) antigens in standardized binding antibody units (BAU/mL). Percent change in odds of COVID-19 by increasing anti-RBD bAb was estimated using logistic regression as (1-adjusted odds ratio of COVID-19)x100, adjusting for COVID-19 mRNA vaccine doses, age, site, and high-risk exposure. RESULTS Out of 2,018 symptomatic patients, 662 (33%) tested positive for acute SARS-CoV-2 infection. Geometric mean RBD bAb were lower among COVID-19 cases than SARS-CoV-2 test-negative patients during both the Delta-predominant (112 vs. 498 BAU/mL) and Omicron-predominant (823 vs. 1,189 BAU/mL) periods. Acute phase ancestral spike RBD bAb associated with 50% lower odds of COVID-19 were 1,968 BAU/mL against Delta and 3,375 BAU/mL against Omicron; thresholds may differ in other laboratories. CONCLUSION During acute illness, antibody concentrations against ancestral spike RBD were associated with protection against COVID-19.
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Affiliation(s)
- Kelsey M Sumner
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ruchi Yadav
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Emma K Noble
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA
| | - Ryan Sandford
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Devyani Joshi
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sara Y Tartof
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, CA, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Baylor College of Medicine - Temple, Temple, TX, USA
- Texas A&M University College of Medicine, Temple, TX, USA
| | | | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Jessie R Chung
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Eric Rogier
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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12
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Griggs EP, Mitchell PK, Lazariu V, Gaglani M, McEvoy C, Klein NP, Valvi NR, Irving SA, Kojima N, Stenehjem E, Crane B, Rao S, Grannis SJ, Embi PJ, Kharbanda AB, Ong TC, Natarajan K, Dascomb K, Naleway AL, Bassett E, DeSilva MB, Dickerson M, Konatham D, Fireman B, Allen KS, Barron MA, Beaton M, Arndorfer J, Vazquez-Benitez G, Garg S, Murthy K, Goddard K, Dixon BE, Han J, Grisel N, Raiyani C, Lewis N, Fadel WF, Stockwell MS, Mamawala M, Hansen J, Zerbo O, Patel P, Link-Gelles R, Adams K, Tenforde MW. Clinical Epidemiology and Risk Factors for Critical Outcomes Among Vaccinated and Unvaccinated Adults Hospitalized With COVID-19-VISION Network, 10 States, June 2021-March 2023. Clin Infect Dis 2024; 78:338-348. [PMID: 37633258 DOI: 10.1093/cid/ciad505] [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: 07/31/2023] [Accepted: 08/22/2023] [Indexed: 08/28/2023] Open
Abstract
BACKGROUND The epidemiology of coronavirus disease 2019 (COVID-19) continues to develop with emerging variants, expanding population-level immunity, and advances in clinical care. We describe changes in the clinical epidemiology of COVID-19 hospitalizations and risk factors for critical outcomes over time. METHODS We included adults aged ≥18 years from 10 states hospitalized with COVID-19 June 2021-March 2023. We evaluated changes in demographics, clinical characteristics, and critical outcomes (intensive care unit admission and/or death) and evaluated critical outcomes risk factors (risk ratios [RRs]), stratified by COVID-19 vaccination status. RESULTS A total of 60 488 COVID-19-associated hospitalizations were included in the analysis. Among those hospitalized, median age increased from 60 to 75 years, proportion vaccinated increased from 18.2% to 70.1%, and critical outcomes declined from 24.8% to 19.4% (all P < .001) between the Delta (June-December, 2021) and post-BA.4/BA.5 (September 2022-March 2023) periods. Hospitalization events with critical outcomes had a higher proportion of ≥4 categories of medical condition categories assessed (32.8%) compared to all hospitalizations (23.0%). Critical outcome risk factors were similar for unvaccinated and vaccinated populations; presence of ≥4 medical condition categories was most strongly associated with risk of critical outcomes regardless of vaccine status (unvaccinated: adjusted RR, 2.27 [95% confidence interval {CI}, 2.14-2.41]; vaccinated: adjusted RR, 1.73 [95% CI, 1.56-1.92]) across periods. CONCLUSIONS The proportion of adults hospitalized with COVID-19 who experienced critical outcomes decreased with time, and median patient age increased with time. Multimorbidity was most strongly associated with critical outcomes.
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Affiliation(s)
- Eric P Griggs
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Victoria Lazariu
- Department of Clinical Research, Westat, Inc, Rockville, Maryland, USA
| | - Manjusha Gaglani
- Section of Pediatric Infectious Diseases, Department of Pediatrics, Baylor Scott & White Health, Temple, Texas, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Charlene McEvoy
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland, USA
| | - Nimish R Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
| | - Stephanie A Irving
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Noah Kojima
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Bradley Crane
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Suchitra Rao
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Department of Family Medicine, School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Peter J Embi
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Anupam B Kharbanda
- Department of Emergency Medicine, Children's Minnesota, Minneapolis, Minnesota, USA
| | - Toan C Ong
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
- Medical Informatics Services, New York-Presbyterian Hospital, New York, New York, USA
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Allison L Naleway
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Elizabeth Bassett
- Department of Clinical Research, Westat, Inc, Rockville, Maryland, USA
| | - Malini B DeSilva
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Monica Dickerson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Deepika Konatham
- Department of Research Analytics and Development, Baylor Scott & White Research Institute, Baylor Scott & White Health, Temple, Texas, USA
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland, USA
| | - Katie S Allen
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Michelle A Barron
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Maura Beaton
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | | | - Shikha Garg
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Kempapura Murthy
- Department of Research Analytics and Development, Baylor Scott & White Research Institute, Baylor Scott & White Health, Temple, Texas, USA
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland, USA
| | - Brian E Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Jungmi Han
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Chandni Raiyani
- Department of Research Analytics and Development, Baylor Scott & White Research Institute, Baylor Scott & White Health, Temple, Texas, USA
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland, USA
| | - William F Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Melissa S Stockwell
- Division of Child & Adolescent Health, Department of Pediatrics, New York-Presbyterian Hospital, New York, New York, USA
- Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
- Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Mufaddal Mamawala
- Department of Research Analytics and Development, Baylor Scott & White Research Institute, Baylor Scott & White Health, Temple, Texas, USA
| | - John Hansen
- Kaiser Permanente Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland, USA
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland, USA
| | - Palak Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ruth Link-Gelles
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Katherine Adams
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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13
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Feldstein LR, Britton A, Grant L, Wiegand R, Ruffin J, Babu TM, Briggs Hagen M, Burgess JL, Caban-Martinez AJ, Chu HY, Ellingson KD, Englund JA, Hegmann KT, Jeddy Z, Lauring AS, Lutrick K, Martin ET, Mathenge C, Meece J, Midgley CM, Monto AS, Newes-Adeyi G, Odame-Bamfo L, Olsho LEW, Phillips AL, Rai RP, Saydah S, Smith N, Steinhardt L, Tyner H, Vandermeer M, Vaughan M, Yoon SK, Gaglani M, Naleway AL. Effectiveness of Bivalent mRNA COVID-19 Vaccines in Preventing SARS-CoV-2 Infection in Children and Adolescents Aged 5 to 17 Years. JAMA 2024; 331:408-416. [PMID: 38319331 PMCID: PMC10848053 DOI: 10.1001/jama.2023.27022] [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: 07/19/2023] [Accepted: 12/11/2023] [Indexed: 02/07/2024]
Abstract
Importance Bivalent mRNA COVID-19 vaccines were recommended in the US for children and adolescents aged 12 years or older on September 1, 2022, and for children aged 5 to 11 years on October 12, 2022; however, data demonstrating the effectiveness of bivalent COVID-19 vaccines are limited. Objective To assess the effectiveness of bivalent COVID-19 vaccines against SARS-CoV-2 infection and symptomatic COVID-19 among children and adolescents. Design, Setting, and Participants Data for the period September 4, 2022, to January 31, 2023, were combined from 3 prospective US cohort studies (6 sites total) and used to estimate COVID-19 vaccine effectiveness among children and adolescents aged 5 to 17 years. A total of 2959 participants completed periodic surveys (demographics, household characteristics, chronic medical conditions, and COVID-19 symptoms) and submitted weekly self-collected nasal swabs (irrespective of symptoms); participants submitted additional nasal swabs at the onset of any symptoms. Exposure Vaccination status was captured from the periodic surveys and supplemented with data from state immunization information systems and electronic medical records. Main Outcome and Measures Respiratory swabs were tested for the presence of the SARS-CoV-2 virus using reverse transcriptase-polymerase chain reaction. SARS-CoV-2 infection was defined as a positive test regardless of symptoms. Symptomatic COVID-19 was defined as a positive test and 2 or more COVID-19 symptoms within 7 days of specimen collection. Cox proportional hazards models were used to estimate hazard ratios for SARS-CoV-2 infection and symptomatic COVID-19 among participants who received a bivalent COVID-19 vaccine dose vs participants who received no vaccine or monovalent vaccine doses only. Models were adjusted for age, sex, race, ethnicity, underlying health conditions, prior SARS-CoV-2 infection status, geographic site, proportion of circulating variants by site, and local virus prevalence. Results Of the 2959 participants (47.8% were female; median age, 10.6 years [IQR, 8.0-13.2 years]; 64.6% were non-Hispanic White) included in this analysis, 25.4% received a bivalent COVID-19 vaccine dose. During the study period, 426 participants (14.4%) had laboratory-confirmed SARS-CoV-2 infection. Among these 426 participants, 184 (43.2%) had symptomatic COVID-19, 383 (89.9%) were not vaccinated or had received only monovalent COVID-19 vaccine doses (1.38 SARS-CoV-2 infections per 1000 person-days), and 43 (10.1%) had received a bivalent COVID-19 vaccine dose (0.84 SARS-CoV-2 infections per 1000 person-days). Bivalent vaccine effectiveness against SARS-CoV-2 infection was 54.0% (95% CI, 36.6%-69.1%) and vaccine effectiveness against symptomatic COVID-19 was 49.4% (95% CI, 22.2%-70.7%). The median observation time after vaccination was 276 days (IQR, 142-350 days) for participants who received only monovalent COVID-19 vaccine doses vs 50 days (IQR, 27-74 days) for those who received a bivalent COVID-19 vaccine dose. Conclusion and Relevance The bivalent COVID-19 vaccines protected children and adolescents against SARS-CoV-2 infection and symptomatic COVID-19. These data demonstrate the benefit of COVID-19 vaccine in children and adolescents. All eligible children and adolescents should remain up to date with recommended COVID-19 vaccinations.
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Affiliation(s)
- Leora R. Feldstein
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Amadea Britton
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lauren Grant
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Ryan Wiegand
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jasmine Ruffin
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Tara M. Babu
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle
| | - Melissa Briggs Hagen
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | - Helen Y. Chu
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle
| | | | | | | | | | - Adam S. Lauring
- Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor
| | | | - Emily T. Martin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor
| | | | - Jennifer Meece
- Marshfield Clinic Research Institute, Marshfield, Wisconsin
| | - Claire M. Midgley
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Arnold S. Monto
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor
| | | | | | | | | | | | - Sharon Saydah
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Ning Smith
- Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Laura Steinhardt
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Harmony Tyner
- St Luke’s Regional Health Care System, Duluth, Minnesota
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14
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Liu F, Gross FL, Joshi S, Gaglani M, Naleway AL, Murthy K, Groom HC, Wesley MG, Edwards LJ, Grant L, Kim SS, Sambhara S, Gangappa S, Tumpey T, Thompson MG, Fry AM, Flannery B, Dawood FS, Levine MZ. Redirecting antibody responses from egg-adapted epitopes following repeat vaccination with recombinant or cell culture-based versus egg-based influenza vaccines. Nat Commun 2024; 15:254. [PMID: 38177116 PMCID: PMC10767121 DOI: 10.1038/s41467-023-44551-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 12/19/2023] [Indexed: 01/06/2024] Open
Abstract
Repeat vaccination with egg-based influenza vaccines could preferentially boost antibodies targeting the egg-adapted epitopes and reduce immunogenicity to circulating viruses. In this randomized trial (Clinicaltrials.gov: NCT03722589), sera pre- and post-vaccination with quadrivalent inactivated egg-based (IIV4), cell culture-based (ccIIV4), and recombinant (RIV4) influenza vaccines were collected from healthcare personnel (18-64 years) in 2018-19 (N = 723) and 2019-20 (N = 684) influenza seasons. We performed an exploratory analysis. Vaccine egg-adapted changes had the most impact on A(H3N2) immunogenicity. In year 1, RIV4 induced higher neutralizing and total HA head binding antibodies to cell- A(H3N2) virus than ccIIV4 and IIV4. In year 2, among the 7 repeat vaccination arms (IIV4-IIV4, IIV4-ccIIV4, IIV4-RIV4, RIV4-ccIIV4, RIV4-RIV4, ccIIV4-ccIIV4 and ccIIV4-RIV4), repeat vaccination with either RIV4 or ccIIV4 further improved antibody responses to circulating viruses with decreased neutralizing antibody egg/cell ratio. RIV4 also had higher post-vaccination A(H1N1)pdm09 and A(H3N2) HA stalk antibodies in year 1, but there was no significant difference in HA stalk antibody fold rise among vaccine groups in either year 1 or year 2. Multiple seasons of non-egg-based vaccination may be needed to redirect antibody responses from immune memory to egg-adapted epitopes and re-focus the immune responses towards epitopes on the circulating viruses to improve vaccine effectiveness.
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Affiliation(s)
- Feng Liu
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - F Liaini Gross
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sneha Joshi
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Baylor College of Medicine, Temple, TX, USA
- Texas A & M University, College of Medicine, Temple, TX, USA
| | - Allison L Naleway
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | | | - Holly C Groom
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | - Meredith G Wesley
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Abt Associates, Atlanta, GA, USA
| | | | - Lauren Grant
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sara S Kim
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Terrence Tumpey
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Alicia M Fry
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Fatimah S Dawood
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Min Z Levine
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
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15
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Hollister J, Caban-Martinez AJ, Ellingson KD, Beitel S, Fowlkes AL, Lutrick K, Tyner HL, Naleway AL, Yoon SK, Gaglani M, Hunt D, Meece J, Mayo Lamberte J, Schaefer Solle N, Rose S, Dunnigan K, Khan SM, Kuntz JL, Fisher JM, Coleman A, Britton A, Thiese MS, Hegmann KT, Pavuk M, Ramadan FA, Fuller S, Nematollahi A, Sprissler R, Burgess JL. Serum per- and polyfluoroalkyl substance concentrations and longitudinal change in post-infection and post-vaccination SARS-CoV-2 antibodies. Environ Res 2023; 239:117297. [PMID: 37816422 PMCID: PMC10842580 DOI: 10.1016/j.envres.2023.117297] [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] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 09/17/2023] [Accepted: 10/02/2023] [Indexed: 10/12/2023]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are ubiquitous throughout the United States. Previous studies have shown PFAS exposure to be associated with a reduced immune response. However, the relationship between serum PFAS and antibody levels following SARS-CoV-2 infection or COVID-19 vaccination has not been examined. We examined differences in peak immune response and the longitudinal decline of antibodies following SARS-CoV-2 infection and COVID-19 vaccination by serum PFAS levels in a cohort of essential workers in the United States. We measured serum antibodies using an in-house semi-quantitative enzyme-linked immunosorbent assay (ELISA). Two cohorts contributed blood samples following SARS-CoV-2 infection or COVID-19 vaccination. We used linear mixed regression models, adjusting for age, race/ethnicity, gender, presence of chronic conditions, location, and occupation, to estimate differences in immune response with respect to serum PFAS levels. Our study populations included 153 unvaccinated participants that contributed 316 blood draws over a 14-month period following infection, and 860 participants and 2451 blood draws over a 12-month period following vaccination. Higher perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid (PFHxS), and perfluorononanoic acid (PFNA) concentrations were associated with a lower peak antibody response after infection (p = 0.009, 0.031, 0.015). Higher PFOS, perfluorooctanoic acid (PFOA), PFHxS, and PFNA concentrations were associated with slower declines in antibodies over time after infection (p = 0.003, 0.014, 0.026, 0.025). PFOA, PFOS, PFHxS, and PFNA serum concentrations prior to vaccination were not associated with differences in peak antibody response after vaccination or with differences in decline of antibodies over time after vaccination. These results suggest that elevated PFAS may impede potential immune response to SARS-CoV-2 infection by blunting peak antibody levels following infection; the same finding was not observed for immune response to vaccination.
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Affiliation(s)
- James Hollister
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
| | - Alberto J Caban-Martinez
- Department of Public Health Sciences and Physical Medicine and Rehabilitation, University of Miami, Miller School of Medicine, USA
| | - Katherine D Ellingson
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Shawn Beitel
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | | | - Karen Lutrick
- College of Medicine - Tucson, University of Arizona, Tucson, AZ, USA
| | | | - Allison L Naleway
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | - Sarang K Yoon
- University of Utah Health, Rocky Mountain Center for Occupational and Environmental Health, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Temple, TX, USA; Texas A&M University College of Medicine, Temple, TX, USA
| | | | | | | | - Natasha Schaefer Solle
- Department of Public Health Sciences and Physical Medicine and Rehabilitation, University of Miami, Miller School of Medicine, USA
| | | | | | - Sana M Khan
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Jennifer L Kuntz
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | | | - Alissa Coleman
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | | | - Matthew S Thiese
- Rocky Mountain Center for Occupational and Environmental Health, University of Utah, Salt Lake City, UT, USA
| | - Kurt T Hegmann
- Rocky Mountain Center for Occupational and Environmental Health, University of Utah, Salt Lake City, UT, USA
| | - Marian Pavuk
- Agency for Toxic Substances and Disease Registry, CDC, Atlanta, GA, USA
| | - Ferris A Ramadan
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA
| | | | - Amy Nematollahi
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Ryan Sprissler
- University of Arizona Genetics Core, Office for Research, Innovation and Impact, University of Arizona, Tucson, AZ, USA
| | - Jefferey L Burgess
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
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16
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Payne AB, Ciesla AA, Rowley EAK, Weber ZA, Reese SE, Ong TC, Vazquez-Benitez G, Naleway AL, Klein NP, Embi PJ, Grannis SJ, Kharbanda AB, Gaglani M, Tenforde MW, Link-Gelles R. Impact of accounting for correlation between COVID-19 and influenza vaccination in a COVID-19 vaccine effectiveness evaluation using a test-negative design. Vaccine 2023; 41:7581-7586. [PMID: 38000964 DOI: 10.1016/j.vaccine.2023.11.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/01/2023] [Accepted: 11/12/2023] [Indexed: 11/26/2023]
Abstract
Test-negative-design COVID-19 vaccine effectiveness (VE) studies use symptomatic SARS-CoV-2-positive individuals as cases and symptomatic SARS-CoV-2-negative individuals as controls to evaluate COVID-19 VE. To evaluate the potential bias introduced by the correlation of COVID-19 and influenza vaccination behaviors, we assessed changes in estimates of VE of bivalent vaccines against COVID-19-associated hospitalizations and emergency department/urgent care (ED/UC) encounters when considering influenza vaccination status or including or excluding influenza-positive controls using data from the multi-state VISION vaccine effectiveness network. Analyses included encounters during October 2022 - February 2023, a period of SARS-CoV-2 and influenza cocirculation. When considering influenza vaccination status or including or excluding influenza-positive controls, COVID-19 VE estimates were robust, with most VE estimates against COVID-19-associated hospitalization and ED/UC encounters changing less than 5 percentage points. Higher proportions of influenza-positive patients among controls, influenza vaccination coverage, or VE could impact these findings; the potential bias should continue to be assessed.
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Affiliation(s)
- Amanda B Payne
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Allison Avrich Ciesla
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; Eagle Health Analytics, San Antonio, TX, USA
| | | | | | | | - Toan C Ong
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Allison L Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Peter J Embi
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA; Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Manjusha Gaglani
- Section of Pediatric Infectious Diseases, Center for Research in Vaccines and Infections, Baylor Scott & White Health and Baylor College of Medicine, Temple, TX, USA; Texas A&M University College of Medicine, Temple, TX, USA
| | - Mark W Tenforde
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ruth Link-Gelles
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; United States Public Health Service Commissioned Corps, Rockville, MD, USA
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17
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Tenforde MW, Weber ZA, Yang DH, DeSilva MB, Dascomb K, Irving SA, Naleway AL, Gaglani M, Fireman B, Lewis N, Zerbo O, Goddard K, Timbol J, Hansen JR, Grisel N, Arndorfer J, McEvoy CE, Essien IJ, Rao S, Grannis SJ, Kharbanda AB, Natarajan K, Ong TC, Embi PJ, Ball SW, Dunne MM, Kirshner L, Wiegand RE, Dickerson M, Patel P, Ray C, Flannery B, Garg S, Adams K, Klein NP. Influenza vaccine effectiveness against influenza-A-associated emergency department, urgent care, and hospitalization encounters among U.S. adults, 2022-2023. J Infect Dis 2023:jiad542. [PMID: 38041853 DOI: 10.1093/infdis/jiad542] [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: 08/08/2023] [Revised: 11/08/2023] [Accepted: 11/27/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND The 2022-2023 United States influenza season had unusually early influenza activity with high hospitalization rates. Vaccine-matched A(H3N2) viruses predominated, with lower levels of A(H1N1)pdm09 activity also observed. METHODS Using the test-negative design, we evaluated influenza vaccine effectiveness (VE) during the 2022-2023 season against influenza-A-associated emergency department/urgent care (ED/UC) visits and hospitalizations from October 2022-March 2023 among adults (age ≥18 years) with acute respiratory illness (ARI). VE was estimated by comparing odds of seasonal influenza vaccination among case-patients (influenza A test-positive by molecular assay) and controls (influenza test-negative), applying inverse-propensity-to-be-vaccinated weights. RESULTS The analysis included 85,389 ED/UC ARI encounters (17.0% influenza-A-positive; 37.8% vaccinated overall) and 19,751 hospitalizations (9.5% influenza-A-positive; 52.8% vaccinated overall). VE against influenza-A-associated ED/UC encounters was 44% (95% confidence interval [95%CI]: 40-47%) overall and 45% and 41% among adults aged 18-64 and ≥65 years, respectively. VE against influenza-A-associated hospitalizations was 35% (95%CI: 27-43%) overall and 23% and 41% among adults aged 18-64 and ≥65 years, respectively. CONCLUSIONS VE was moderate during the 2022-2023 influenza season, a season characterized with increased burden of influenza and co-circulation with other respiratory viruses. Vaccination is likely to substantially reduce morbidity, mortality, and strain on healthcare resources.
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Affiliation(s)
- Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | | | | | | | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, United States
| | - Stephanie A Irving
- Kaiser Permanente Center for Health Research, Portland, Oregon, United States
| | - Allison L Naleway
- Kaiser Permanente Center for Health Research, Portland, Oregon, United States
| | - Manjusha Gaglani
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott & White Health and Baylor College of Medicine, Temple, Texas, United States
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, United States
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States
| | - Julius Timbol
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States
| | - John R Hansen
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, United States
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, United States
| | | | - Inih J Essien
- HealthPartners Institute, Minneapolis, Minnesota, United States
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, United States
- School of Medicine, Indiana University, Indianapolis, Indiana, United States
| | | | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
- New York Presbyterian Hospital, New York, New York, United States
| | - Toan C Ong
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Peter J Embi
- Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | | | | | | | - Ryan E Wiegand
- Coronavirus and other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Monica Dickerson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Palak Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Caitlin Ray
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States
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18
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Ahmed F, Nowalk MP, Zimmerman RK, Bear T, Grijalva CG, Talbot HK, Florea A, Tartof SY, Gaglani M, Smith M, McLean HQ, King JP, Martin ET, Monto AS, Phillips CH, Wernli KJ, Flannery B, Chung JR, Uzicanin A. Work Attendance with Acute Respiratory Illness Before and During COVID-19 Pandemic, United States, 2018-2022. Emerg Infect Dis 2023; 29:2442-2450. [PMID: 37917142 PMCID: PMC10683820 DOI: 10.3201/eid2912.231070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023] Open
Abstract
Both SARS-CoV-2 and influenza virus can be transmitted by asymptomatic, presymptomatic, or symptomatic infected persons. We assessed effects on work attendance while ill before and during the COVID-19 pandemic in the United States by analyzing data collected prospectively from persons with acute respiratory illnesses enrolled in a multistate study during 2018-2022. Persons with previous hybrid work experience were significantly less likely to work onsite on the day before through the first 3 days of illness than those without that experience, an effect more pronounced during the COVID-19 pandemic than during prepandemic influenza seasons. Persons with influenza or COVID-19 were significantly less likely to work onsite than persons with other acute respiratory illnesses. Among persons with positive COVID-19 test results available by the second or third day of illness, few worked onsite. Hybrid and remote work policies might reduce workplace exposures and help reduce spread of respiratory viruses.
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19
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Sandford R, Yadav R, Noble EK, Sumner K, Joshi D, Tartof SY, Wernli KJ, Martin ET, Gaglani M, Zimmerman RK, Talbot HK, Grijalva CG, Belongia EA, Carlson C, Coughlin M, Flannery B, Pearce B, Rogier E. Antibody response to symptomatic infection with SARS-CoV-2 Omicron variant viruses, December 2021-June 2022. medRxiv 2023:2023.11.17.23298700. [PMID: 38014151 PMCID: PMC10680903 DOI: 10.1101/2023.11.17.23298700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
To describe humoral immune responses to symptomatic SARS-CoV-2 infection, we assessed immunoglobulin G binding antibody levels using a commercial multiplex bead assay against SARS-CoV-2 ancestral spike protein receptor binding domain (RBD) and nucleocapsid protein (N). We measured binding antibody units per mL (BAU/mL) during acute illness within 5 days of illness onset and during convalescence in 105 ambulatory patients with laboratory-confirmed SARS-CoV-2 infection with Omicron variant viruses. Comparing acute- to convalescent phase antibody concentrations, geometric mean anti-N antibody concentrations increased 47-fold from 5.5 to 259 BAU/mL. Anti-RBD antibody concentrations increased 2.5-fold from 1258 to 3189 BAU/mL.
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20
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Patel P, Schrader KE, Rice CE, Rowley E, Cree RA, DeSilva MB, Embi PJ, Gaglani M, Grannis SJ, Ong TC, Stenehjem E, Naleway AL, Ball S, Natarajan K, Klein NP, Adams K, Kharbanda A, Ray C, Link-Gelles R, Tenforde MW. Effectiveness of the Original Monovalent Coronavirus Disease 2019 Vaccines in Preventing Emergency Department or Urgent Care Encounters and Hospitalizations Among Adults With Disabilities: VISION Network, June 2021-September 2022. Open Forum Infect Dis 2023; 10:ofad474. [PMID: 37965644 PMCID: PMC10642729 DOI: 10.1093/ofid/ofad474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 09/18/2023] [Indexed: 11/16/2023] Open
Abstract
Adults with disabilities are at increased risk for severe coronavirus disease 2019 (COVID-19). Using data across 9 states during Delta- and Omicron-predominant periods (June 2021-September 2022), we evaluated the effectiveness of the original monovalent COVID-19 messenger RNA vaccines among 521 206 emergency department/urgent care encounters (11 471 [2%] in patients with a documented disability) and 139 548 hospitalizations (16 569 [12%] in patients with a disability) for laboratory-confirmed COVID-19 illness in adults (aged ≥18 years). Across variant periods and for the primary series or booster doses, vaccine effectiveness was similar in those with and those without a disability. These findings highlight the importance of adults with disabilities staying up to date with COVID-19 vaccinations.
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Affiliation(s)
- Palak Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Catherine E Rice
- Division of Human Development and Disability, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Elizabeth Rowley
- Department of Clinical Research, Westat, Rockville, Maryland, USA
| | - Robyn A Cree
- Division of Human Development and Disability, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Malini B DeSilva
- Department of Research, Health Partners Institute, Minneapolis, Minnesota, USA
| | - Peter J Embi
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Section of Pediatric Infectious Diseases, Department of Pediatrics, Baylor Scott & White Health, Temple, Texas, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Toan C Ong
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Allison L Naleway
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Sarah Ball
- Department of Clinical Research, Westat, Rockville, Maryland, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, NewYork, New York, USA
- Medical Informatics Services, NewYork-Presbyterian Hospital, NewYork, New York, USA
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Katherine Adams
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Anupam Kharbanda
- Department of Emergency Medicine, Children’s Minnesota, Minneapolis, Minnesota, USA
| | - Caitlin Ray
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ruth Link-Gelles
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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21
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Surie D, Yuengling KA, DeCuir J, Zhu Y, Gaglani M, Ginde AA, Talbot HK, Casey JD, Mohr NM, Ghamande S, Gibbs KW, Files DC, Hager DN, Ali H, Prekker ME, Gong MN, Mohamed A, Johnson NJ, Steingrub JS, Peltan ID, Brown SM, Leis AM, Khan A, Hough CL, Bender WS, Duggal A, Wilson JG, Qadir N, Chang SY, Mallow C, Kwon JH, Exline MC, Lauring AS, Shapiro NI, Columbus C, Vaughn IA, Ramesh M, Safdar B, Halasa N, Chappell JD, Grijalva CG, Baughman A, Rice TW, Womack KN, Han JH, Swan SA, Mukherjee I, Lewis NM, Ellington S, McMorrow ML, Martin ET, Self WH. Disease Severity of Respiratory Syncytial Virus Compared with COVID-19 and Influenza Among Hospitalized Adults Aged ≥60 Years - IVY Network, 20 U.S. States, February 2022-May 2023. MMWR Morb Mortal Wkly Rep 2023; 72:1083-1088. [PMID: 37796753 PMCID: PMC10564326 DOI: 10.15585/mmwr.mm7240a2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
On June 21, 2023, CDC's Advisory Committee on Immunization Practices recommended respiratory syncytial virus (RSV) vaccination for adults aged ≥60 years, offered to individual adults using shared clinical decision-making. Informed use of these vaccines requires an understanding of RSV disease severity. To characterize RSV-associated severity, 5,784 adults aged ≥60 years hospitalized with acute respiratory illness and laboratory-confirmed RSV, SARS-CoV-2, or influenza infection were prospectively enrolled from 25 hospitals in 20 U.S. states during February 1, 2022-May 31, 2023. Multivariable logistic regression was used to compare RSV disease severity with COVID-19 and influenza severity on the basis of the following outcomes: 1) standard flow (<30 L/minute) oxygen therapy, 2) high-flow nasal cannula (HFNC) or noninvasive ventilation (NIV), 3) intensive care unit (ICU) admission, and 4) invasive mechanical ventilation (IMV) or death. Overall, 304 (5.3%) enrolled adults were hospitalized with RSV, 4,734 (81.8%) with COVID-19 and 746 (12.9%) with influenza. Patients hospitalized with RSV were more likely to receive standard flow oxygen, HFNC or NIV, and ICU admission than were those hospitalized with COVID-19 or influenza. Patients hospitalized with RSV were more likely to receive IMV or die compared with patients hospitalized with influenza (adjusted odds ratio = 2.08; 95% CI = 1.33-3.26). Among hospitalized older adults, RSV was less common, but was associated with more severe disease than COVID-19 or influenza. High disease severity in older adults hospitalized with RSV is important to consider in shared clinical decision-making regarding RSV vaccination.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - IVY Network
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC; Vanderbilt University Medical Center, Nashville, Tennessee; Baylor Scott & White Health, Temple, Texas; Texas A&M University College of Medicine, Temple, Texas; Baylor, Scott & White Health, Dallas, Texas; University of Colorado School of Medicine, Aurora, Colorado; University of Iowa, Iowa City, Iowa; Wake Forest University Baptist Medical Center, Winston-Salem, North Carolina; Johns Hopkins Hospital, Baltimore, Maryland; Hennepin County Medical Center, Minneapolis, Minnesota; Montefiore Healthcare Center, Albert Einstein College of Medicine, New York, New York; University of Washington School of Medicine, Seattle, Washington; Baystate Medical Center, Springfield, Massachusetts; Intermountain Medical Center and University of Utah, Salt Lake City, Utah; University of Michigan School of Public Health, Ann Arbor, Michigan; Oregon Health & Science University Hospital, Portland, Oregon; Emory University School of Medicine, Atlanta, Georgia; Cleveland Clinic, Cleveland, Ohio; Stanford University School of Medicine, Stanford, California; Ronald Reagan-UCLA Medical Center, Los Angeles, California; University of Miami, Miami, Florida; Washington University, St. Louis, Missouri; The Ohio State University Wexner Medical Center, Columbus, Ohio; University of Michigan School of Medicine, Ann Arbor, Michigan; Beth Israel Deaconess Medical Center, Boston, Massachusetts; Henry Ford Health, Detroit, Michigan; Yale University School of Medicine, New Haven, Connecticut; Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
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22
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Sumner KM, Yadav R, Noble EK, Sandford R, Joshi D, Tartof SY, Wernli KJ, Martin ET, Gaglani M, Zimmerman RK, Talbot HK, Grijalva CG, Chung JR, Rogier E, Coughlin MM, Flannery B. Anti-SARS-CoV-2 Antibody Levels Associated with COVID-19 Protection in Outpatients Tested for SARS-CoV-2, US Flu VE Network, October 2021-June 2022. medRxiv 2023:2023.09.21.23295919. [PMID: 37790578 PMCID: PMC10543239 DOI: 10.1101/2023.09.21.23295919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Background We assessed the association between antibody concentration ≤5 days of symptom onset and COVID-19 illness among patients enrolled in a test-negative study. Methods From October 2021-June 2022, study sites in seven states enrolled and tested respiratory specimens from patients of all ages presenting with acute respiratory illness for SARS-CoV-2 infection using rRT-PCR. In blood specimens, we measured concentration of anti-SARS-CoV-2 antibodies against the ancestral strain spike protein receptor binding domain (RBD) and nucleocapsid (N) antigens in standardized binding antibody units (BAU/mL). Percent reduction in odds of symptomatic COVID-19 by anti-RBD antibody was estimated using logistic regression modeled as (1-adjusted odds ratio of COVID-19)×100, adjusting for COVID-19 vaccination status, age, site, and high-risk exposure. Results A total of 662 (33%) of 2,018 symptomatic patients tested positive for acute SARS-CoV-2 infection. During the Omicron-predominant period, geometric mean anti-RBD binding antibody concentrations measured 823 BAU/mL (95%CI:690-981) among COVID-19 case-patients versus 1,189 BAU/mL (95%CI:1,050-1,347) among SARS-CoV-2 test-negative patients. In the adjusted logistic regression, increasing levels of anti-RBD antibodies were associated with reduced odds of COVID-19 for both Delta and Omicron infections. Conclusion Higher anti-RBD antibodies in patients were associated with protection against symptomatic COVID-19 during emergence of SARS-CoV-2 Delta and Omicron variants.
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Affiliation(s)
- Kelsey M. Sumner
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ruchi Yadav
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Emma K. Noble
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA
| | - Ryan Sandford
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Devyani Joshi
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sara Y. Tartof
- Kaiser Permanente Southern California, Department of Research & Evaluation
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - Karen J. Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Texas A&M University College of Medicine, Temple, TX, USA
| | | | | | | | - Jessie R. Chung
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Eric Rogier
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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23
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Quirk GE, Schoenle MV, Peyton KL, Uhrlaub JL, Lau B, Burgess JL, Ellingson K, Beitel S, Romine J, Lutrick K, Fowlkes A, Britton A, Tyner HL, Caban-Martinez AJ, Naleway A, Gaglani M, Yoon S, Edwards L, Olsho L, Dake M, LaFleur BJ, Nikolich JŽ, Sprissler R, Worobey M, Bhattacharya D. Determinants of de novo B cell responses to drifted epitopes in post-vaccination SARS-CoV-2 infections. medRxiv 2023:2023.09.12.23295384. [PMID: 37745498 PMCID: PMC10516057 DOI: 10.1101/2023.09.12.23295384] [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] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Vaccine-induced immunity may impact subsequent de novo responses to drifted epitopes in SARS-CoV-2 variants, but this has been difficult to quantify due to the challenges in recruiting unvaccinated control groups whose first exposure to SARS-CoV-2 is a primary infection. Through local, statewide, and national SARS-CoV-2 testing programs, we were able to recruit cohorts of individuals who had recovered from either primary or post-vaccination infections by either the Delta or Omicron BA.1 variants. Regardless of variant, we observed greater Spike-specific and neutralizing antibody responses in post-vaccination infections than in those who were infected without prior vaccination. Through analysis of variant-specific memory B cells as markers of de novo responses, we observed that Delta and Omicron BA.1 infections led to a marked shift in immunodominance in which some drifted epitopes elicited minimal responses, even in primary infections. Prior immunity through vaccination had a small negative impact on these de novo responses, but this did not correlate with cross-reactive memory B cells, arguing against competitive inhibition of naïve B cells. We conclude that dampened de novo B cell responses against drifted epitopes are mostly a function of altered immunodominance hierarchies that are apparent even in primary infections, with a more modest contribution from pre-existing immunity, perhaps due to accelerated antigen clearance.
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Affiliation(s)
- Grace E Quirk
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Marta V Schoenle
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Kameron L Peyton
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Jennifer L Uhrlaub
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Branden Lau
- University of Arizona Genomics Core and the Arizona Research Labs, University of Arizona Genetics Core, University of Arizona, Tucson, AZ, USA
| | - Jefferey L Burgess
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Katherine Ellingson
- Department of Epidemiology and Biostatistics, Zuckerman College of Public Health, University of Arizona, Tucson
| | - Shawn Beitel
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - James Romine
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Karen Lutrick
- College of Medicine-Tucson, University of Arizona, Tucson, Arizona, USA
| | - Ashley Fowlkes
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA
| | - Amadea Britton
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA
| | - Harmony L Tyner
- St. Luke's Regional Health Care System, Duluth, Minnesota, USA
| | | | - Allison Naleway
- Kaiser Permanente Northwest Center for Health Research, Portland, Oregon, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health and Texas A&M University College of Medicine, Temple, Texas, USA
| | - Sarang Yoon
- Rocky Mountain Center for Occupational and Environmental Health, Department of Family and Preventive Medicine, University of Utah Health, Salt Lake City, Utah, USA
| | | | | | - Michael Dake
- Office of the Senior Vice-President for Health Sciences, University of Arizona, Tucson, AZ, USA
| | | | - Janko Ž Nikolich
- BIO5 Institute, University of Arizona, Tucson, AZ, USA
- University of Arizona Center on Aging, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Ryan Sprissler
- University of Arizona Genomics Core and the Arizona Research Labs, University of Arizona Genetics Core, University of Arizona, Tucson, AZ, USA
| | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
- BIO5 Institute, University of Arizona, Tucson, AZ, USA
| | - Deepta Bhattacharya
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, AZ, USA
- BIO5 Institute, University of Arizona, Tucson, AZ, USA
- Department of Surgery, University of Arizona College of Medicine, Tucson, AZ, USA
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24
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Embi PJ, Levy ME, Patel P, DeSilva MB, Gaglani M, Dascomb K, Dunne MM, Klein NP, Ong TC, Grannis SJ, Natarajan K, Yang DH, Stenehjem E, Zerbo O, McEvoy C, Rao S, Thompson MG, Konatham D, Irving SA, Dixon BE, Han J, Schrader KE, Grisel N, Lewis N, Kharbanda AB, Barron MA, Reynolds S, Liao IC, Fadel WF, Rowley EA, Arndorfer J, Goddard K, Murthy K, Valvi NR, Weber ZA, Fireman B, Reese SE, Ball SW, Naleway AL. Effectiveness of COVID-19 vaccines at preventing emergency department or urgent care encounters and hospitalizations among immunocompromised adults: An observational study of real-world data across 10 US states from August-December 2021. Vaccine 2023; 41:5424-5434. [PMID: 37479609 PMCID: PMC10201325 DOI: 10.1016/j.vaccine.2023.05.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/06/2023] [Accepted: 05/16/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Immunocompromised (IC) persons are at increased risk for severe COVID-19 outcomes and are less protected by 1-2 COVID-19 vaccine doses than are immunocompetent (non-IC) persons. We compared vaccine effectiveness (VE) against medically attended COVID-19 of 2-3 mRNA and 1-2 viral-vector vaccine doses between IC and non-IC adults. METHODS Using a test-negative design among eight VISION Network sites, VE against laboratory-confirmed COVID-19-associated emergency department (ED) or urgent care (UC) events and hospitalizations from 26 August-25 December 2021 was estimated separately among IC and non-IC adults and among specific IC condition subgroups. Vaccination status was defined using number and timing of doses. VE for each status (versus unvaccinated) was adjusted for age, geography, time, prior positive test result, and local SARS-CoV-2 circulation. RESULTS We analyzed 8,848 ED/UC events and 18,843 hospitalizations among IC patients and 200,071 ED/UC events and 70,882 hospitalizations among non-IC patients. Among IC patients, 3-dose mRNA VE against ED/UC (73% [95% CI: 64-80]) and hospitalization (81% [95% CI: 76-86]) was lower than that among non-IC patients (ED/UC: 94% [95% CI: 93-94]; hospitalization: 96% [95% CI: 95-97]). Similar patterns were observed for viral-vector vaccines. Transplant recipients had lower VE than other IC subgroups. CONCLUSIONS During B.1.617.2 (Delta) variant predominance, IC adults received moderate protection against COVID-19-associated medical events from three mRNA doses, or one viral-vector dose plus a second dose of any product. However, protection was lower in IC versus non-IC patients, especially among transplant recipients, underscoring the need for additional protection among IC adults.
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Affiliation(s)
- Peter J Embi
- Vanderbilt University Medical Center, Nashville, TN, USA; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA.
| | | | - Palak Patel
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | | | - Manjusha Gaglani
- Baylor Scott & White Health, Texas A&M College of Medicine, Temple, TX, USA; Texas A&M University College of Medicine, Temple, Texas, USA
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | | | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Toan C Ong
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA; Indiana University School of Medicine, Indianapolis, IN, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA; New York Presbyterian Hospital, New York, NY, USA
| | | | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | | | - Suchitra Rao
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Mark G Thompson
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | - Deepika Konatham
- Baylor Scott & White Health, Texas A&M College of Medicine, Temple, TX, USA
| | - Stephanie A Irving
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Brian E Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA; Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | - Jungmi Han
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | | | - Michelle A Barron
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sue Reynolds
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, GA, USA
| | - I-Chia Liao
- Baylor Scott & White Health, Texas A&M College of Medicine, Temple, TX, USA
| | - William F Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA; Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | | | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Kempapura Murthy
- Baylor Scott & White Health, Texas A&M College of Medicine, Temple, TX, USA
| | - Nimish R Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
| | | | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | | | | | - Allison L Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
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Kojima N, Adams K, Self WH, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Duggal A, Busse LW, Prekker ME, Peltan ID, Brown SM, Hager DN, Ali H, Gong MN, Mohamed A, Exline MC, Khan A, Wilson JG, Qadir N, Chang SY, Ginde AA, Withers CA, Mohr NM, Mallow C, Martin ET, Lauring AS, Johnson NJ, Casey JD, Stubblefield WB, Gibbs KW, Kwon JH, Baughman A, Chappell JD, Hart KW, Jones ID, Rhoads JP, Swan SA, Womack KN, Zhu Y, Surie D, McMorrow ML, Patel MM, Tenforde MW. Changing Severity and Epidemiology of Adults Hospitalized With Coronavirus Disease 2019 (COVID-19) in the United States After Introduction of COVID-19 Vaccines, March 2021-August 2022. Clin Infect Dis 2023; 77:547-557. [PMID: 37255285 PMCID: PMC10526883 DOI: 10.1093/cid/ciad276] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [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: 02/05/2023] [Indexed: 06/01/2023] Open
Abstract
INTRODUCTION Understanding the changing epidemiology of adults hospitalized with coronavirus disease 2019 (COVID-19) informs research priorities and public health policies. METHODS Among adults (≥18 years) hospitalized with laboratory-confirmed, acute COVID-19 between 11 March 2021, and 31 August 2022 at 21 hospitals in 18 states, those hospitalized during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron-predominant period (BA.1, BA.2, BA.4/BA.5) were compared to those from earlier Alpha- and Delta-predominant periods. Demographic characteristics, biomarkers within 24 hours of admission, and outcomes, including oxygen support and death, were assessed. RESULTS Among 9825 patients, median (interquartile range [IQR]) age was 60 years (47-72), 47% were women, and 21% non-Hispanic Black. From the Alpha-predominant period (Mar-Jul 2021; N = 1312) to the Omicron BA.4/BA.5 sublineage-predominant period (Jun-Aug 2022; N = 1307): the percentage of patients who had ≥4 categories of underlying medical conditions increased from 11% to 21%; those vaccinated with at least a primary COVID-19 vaccine series increased from 7% to 67%; those ≥75 years old increased from 11% to 33%; those who did not receive any supplemental oxygen increased from 18% to 42%. Median (IQR) highest C-reactive protein and D-dimer concentration decreased from 42.0 mg/L (9.9-122.0) to 11.5 mg/L (2.7-42.8) and 3.1 mcg/mL (0.8-640.0) to 1.0 mcg/mL (0.5-2.2), respectively. In-hospital death peaked at 12% in the Delta-predominant period and declined to 4% during the BA.4/BA.5-predominant period. CONCLUSIONS Compared to adults hospitalized during early COVID-19 variant periods, those hospitalized during Omicron-variant COVID-19 were older, had multiple co-morbidities, were more likely to be vaccinated, and less likely to experience severe respiratory disease, systemic inflammation, coagulopathy, and death.
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Affiliation(s)
- Noah Kojima
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Wesley H Self
- Department of Emergency Medicine and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Department of Pediatrics, Baylor Scott & White Health and Texas A&M University College of Medicine, Temple and Dallas, Texas, USA
| | - Tresa McNeal
- Department of Medical Education, Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Department of Medical Education, Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Matthew E Prekker
- Department of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Harith Ali
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Cori A Withers
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William B Stubblefield
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St. Louis, Missouri, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ian D Jones
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jillian P Rhoads
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Diya Surie
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Meredith L McMorrow
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Link-Gelles R, Ciesla AA, Rowley EA, Klein NP, Naleway AL, Payne AB, Kharbanda A, Natarajan K, DeSilva MB, Dascomb K, Irving SA, Zerbo O, Reese SE, Wiegand RE, Najdowski M, Ong TC, Rao S, Stockwell MS, Stephens A, Goddard K, Martinez YC, Weber ZA, Fireman B, Hansen J, Timbol J, Grannis SJ, Barron MA, Embi PJ, Ball SW, Gaglani M, Grisel N, Arndorfer J, Tenforde MW, Fleming-Dutra KE. Effectiveness of Monovalent and Bivalent mRNA Vaccines in Preventing COVID-19-Associated Emergency Department and Urgent Care Encounters Among Children Aged 6 Months-5 Years - VISION Network, United States, July 2022-June 2023. MMWR Morb Mortal Wkly Rep 2023; 72:886-892. [PMID: 37590187 PMCID: PMC10441825 DOI: 10.15585/mmwr.mm7233a2] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
On June 19, 2022, the original monovalent mRNA COVID-19 vaccines were approved as a primary series for children aged 6 months-4 years (Pfizer-BioNTech) and 6 months-5 years (Moderna) based on safety, immunobridging, and limited efficacy data from clinical trials. On December 9, 2022, CDC expanded recommendations for use of updated bivalent vaccines to children aged ≥6 months. mRNA COVID-19 vaccine effectiveness (VE) against emergency department or urgent care (ED/UC) encounters was evaluated within the VISION Network during July 4, 2022-June 17, 2023, among children with COVID-19-like illness aged 6 months-5 years. Among children aged 6 months-5 years who received molecular SARS-CoV-2 testing during August 1, 2022-June 17, 2023, VE of 2 monovalent Moderna doses against ED/UC encounters was 29% (95% CI = 12%-42%) ≥14 days after dose 2 (median = 100 days after dose 2; IQR = 63-155 days). Among children aged 6 months-4 years with a COVID-19-like illness who received molecular testing during September 19, 2022-June 17, 2023, VE of 3 monovalent Pfizer-BioNTech doses was 43% (95% CI = 17%-61%) ≥14 days after dose 3 (median = 75 days after dose 3; IQR = 40-139 days). Effectiveness of ≥1 bivalent dose, comparing children with at least a complete primary series and ≥1 bivalent dose to unvaccinated children, irrespective of vaccine manufacturer, was 80% (95% CI = 42%-96%) among children aged 6 months-5 years a median of 58 days (IQR = 32-83 days) after the dose. All children should stay up to date with recommended COVID-19 vaccines, including initiation of COVID-19 vaccination immediately when they are eligible.
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Dimcheff DE, Blair CN, Zhu Y, Chappell JD, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Duggal A, Busse LW, Frosch AEP, Peltan ID, Hager DN, Gong MN, Exline MC, Khan A, Wilson JG, Qadir N, Ginde AA, Douin DJ, Mohr NM, Mallow C, Martin ET, Johnson NJ, Casey JD, Stubblefield WB, Gibbs KW, Kwon JH, Talbot HK, Halasa N, Grijalva CG, Baughman A, Womack KN, Hart KW, Swan SA, Surie D, Thornburg NJ, McMorrow ML, Self WH, Lauring AS. Total and Subgenomic RNA Viral Load in Patients Infected With SARS-CoV-2 Alpha, Delta, and Omicron Variants. J Infect Dis 2023; 228:235-244. [PMID: 36883903 PMCID: PMC10420395 DOI: 10.1093/infdis/jiad061] [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: 02/20/2023] [Accepted: 03/06/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic and subgenomic RNA levels are frequently used as a correlate of infectiousness. The impact of host factors and SARS-CoV-2 lineage on RNA viral load is unclear. METHODS Total nucleocapsid (N) and subgenomic N (sgN) RNA levels were measured by quantitative reverse transcription polymerase chain reaction (RT-qPCR) in specimens from 3204 individuals hospitalized with coronavirus disease 2019 (COVID-19) at 21 hospitals. RT-qPCR cycle threshold (Ct) values were used to estimate RNA viral load. The impact of time of sampling, SARS-CoV-2 variant, age, comorbidities, vaccination, and immune status on N and sgN Ct values were evaluated using multiple linear regression. RESULTS Mean Ct values at presentation for N were 24.14 (SD 4.53) for non-variants of concern, 25.15 (SD 4.33) for Alpha, 25.31 (SD 4.50) for Delta, and 26.26 (SD 4.42) for Omicron. N and sgN RNA levels varied with time since symptom onset and infecting variant but not with age, comorbidity, immune status, or vaccination. When normalized to total N RNA, sgN levels were similar across all variants. CONCLUSIONS RNA viral loads were similar among hospitalized adults, irrespective of infecting variant and known risk factors for severe COVID-19. Total N and subgenomic RNA N viral loads were highly correlated, suggesting that subgenomic RNA measurements add little information for the purposes of estimating infectivity.
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Affiliation(s)
- Derek E Dimcheff
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Christopher N Blair
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Tresa McNeal
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Anne E P Frosch
- Department of Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah, USA
- Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - David J Douin
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William B Stubblefield
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St Louis, Missouri, USA
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Diya Surie
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Natalie J Thornburg
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Meredith L McMorrow
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
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28
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Lyski ZL, Porter C, Uhrlaub JL, Ellingson KD, Jeddy Z, Gwynn L, Rivers P, Sprissler R, Hegmann KT, Coughlin M, Fowlkes A, Hollister J, LeClair L, Mak J, Beitel SC, Fuller S, Grant L, Newes-Adeyi G, Yoo YM, Olsho L, Burgess JL, Caban-Martinez A, Yoon S, Britton A, Gaglani M, Lutrick K. Humoral Immune Response to Messenger RNA Coronavirus Disease 2019 Vaccination Among Children Aged 5-11 Years in a Multisite Prospective Cohort Study, September 2021-September 2022. Open Forum Infect Dis 2023; 10:ofad431. [PMID: 37663086 PMCID: PMC10468733 DOI: 10.1093/ofid/ofad431] [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: 06/28/2023] [Accepted: 08/09/2023] [Indexed: 09/05/2023] Open
Abstract
Background The PROTECT study is a longitudinal cohort study initiated in July 2021 with weekly testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 4 states: Arizona, Florida, exas, and Utah. This study aims to examine vaccine-elicited antibody response against postvaccination SARS-CoV-2 infections. Methods Children aged 5-11 years had serum collected 14-59 days after their second dose of monovalent Pfizer-BioNTech coronavirus disease 2019 messenger RNA vaccine. Vaccine-elicited antibodies were measured using the area under the curve (AUC) and end-point titer using enzyme-linked immunosorbent assay (receptor-binding domain [RBD] and S2) and surrogate neutralization assays against ancestral (WA1) and Omicron (BA.2). Results 79 vaccinated participants (33 [41.7%] female; median age, 8.8 years [standard deviation, 1.9 years]), 48 (60.8%) were from Tucson, Arizona; 64 (81.0%) were non-Hispanic white; 63 (80.8%) attended school in person; 68 (86.1%) did not have any chronic conditions; and 47 (59.5%) were infected after vaccination. Uninfected children had higher AUCs against WA1 (P = .009) and Omicron (P = .02). The geometric mean and surrogate neutralization titer above the limit of detection was 346.0 for WA1 and 39.7 for Omicron, an 8.7-fold decrease (P < .001). After adjustment of covariates in the WA1-specific model, we observed a 47% reduction in the odds of postvaccination infection for every standard deviation increase in RBD AUC (aOR, 0.53 [95% confidence interval, .29-.97) and a 69% reduction in the odds of infection for every 3-fold increase in RBD end titer (0.31 [.06-1.57]). Conclusions Children with higher antibody levels experienced a lower incidence of postvaccination SARS-CoV-2 infection.
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Affiliation(s)
- Zoe L Lyski
- Immunobiology, College of Medicine–Tucson, University of Arizona, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Cynthia Porter
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Jennifer L Uhrlaub
- Immunobiology, College of Medicine–Tucson, University of Arizona, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Katherine D Ellingson
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Zuha Jeddy
- Abt Associates, Rockville, Maryland, USA
| | - Lisa Gwynn
- Leonard M. Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Patrick Rivers
- Family and Community Medicine, College of Medicine–Tucson, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Ryan Sprissler
- University of Arizona Genetics Core—Center for Applied Genetics and Genomic Medicine, University of Arizona, Tucson, Arizona, USA
| | - Kurt T Hegmann
- Department of Family and Preventive Medicine, Rocky Mountain Center for Occupational and Environmental Health, University of Utah Health, Salt Lake City, Utah, USA
| | - Melissa Coughlin
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ashley Fowlkes
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - James Hollister
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | | | - Josephine Mak
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Shawn C Beitel
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | | | - Lauren Grant
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Young M Yoo
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Jefferey L Burgess
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | | | - Sarang Yoon
- Department of Family and Preventive Medicine, Rocky Mountain Center for Occupational and Environmental Health, University of Utah Health, Salt Lake City, Utah, USA
| | - Amadea Britton
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Texas A&M University School of Medicine, Temple, Texas, USA
| | - Karen Lutrick
- Family and Community Medicine, College of Medicine–Tucson, University of Arizona Health Sciences, Tucson, Arizona, USA
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29
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Tenforde MW, Weber ZA, DeSilva MB, Stenehjem E, Yang DH, Fireman B, Gaglani M, Kojima N, Irving SA, Rao S, Grannis SJ, Naleway AL, Kirshner L, Kharbanda AB, Dascomb K, Lewis N, Dalton AF, Ball SW, Natarajan K, Ong TC, Hartmann E, Embi PJ, McEvoy CE, Grisel N, Zerbo O, Dunne MM, Arndorfer J, Goddard K, Dickerson M, Patel P, Timbol J, Griggs EP, Hansen J, Thompson MG, Flannery B, Klein NP. Vaccine Effectiveness Against Influenza-Associated Urgent Care, Emergency Department, and Hospital Encounters During the 2021-2022 Season, VISION Network. J Infect Dis 2023; 228:185-195. [PMID: 36683410 DOI: 10.1093/infdis/jiad015] [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: 12/05/2022] [Revised: 01/12/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Following historically low influenza activity during the 2020-2021 season, the United States saw an increase in influenza circulating during the 2021-2022 season. Most viruses belonged to the influenza A(H3N2) 3C.2a1b 2a.2 subclade. METHODS We conducted a test-negative case-control analysis among adults ≥18 years of age at 3 sites within the VISION Network. Encounters included emergency department/urgent care (ED/UC) visits or hospitalizations with ≥1 acute respiratory illness (ARI) discharge diagnosis codes and molecular testing for influenza. Vaccine effectiveness (VE) was calculated by comparing the odds of influenza vaccination ≥14 days before the encounter date between influenza-positive cases (type A) and influenza-negative and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-negative controls, applying inverse probability-to-be-vaccinated weights, and adjusting for confounders. RESULTS In total, 86 732 ED/UC ARI-associated encounters (7696 [9%] cases) and 16 805 hospitalized ARI-associated encounters (649 [4%] cases) were included. VE against influenza-associated ED/UC encounters was 25% (95% confidence interval (CI), 20%-29%) and 25% (95% CI, 11%-37%) against influenza-associated hospitalizations. VE against ED/UC encounters was lower in adults ≥65 years of age (7%; 95% CI, -5% to 17%) or with immunocompromising conditions (4%; 95% CI, -45% to 36%). CONCLUSIONS During an influenza A(H3N2)-predominant influenza season, modest VE was observed. These findings highlight the need for improved vaccines, particularly for A(H3N2) viruses that are historically associated with lower VE.
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Affiliation(s)
- Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | | | - Bruce Fireman
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Manjusha Gaglani
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott and White Health, Temple, Texas, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Noah Kojima
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | | | | | | | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Ned Lewis
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Alexandra F Dalton
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
| | - Toan C Ong
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Emily Hartmann
- Paso del Norte Health Information Exchange, El Paso, Texas, USA
| | - Peter J Embi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Ousseny Zerbo
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | | | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Kristin Goddard
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Monica Dickerson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Palak Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Julius Timbol
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Eric P Griggs
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - John Hansen
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nicola P Klein
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
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Adams K, Riddles JJ, Rowley EAK, Grannis SJ, Gaglani M, Fireman B, Hartmann E, Naleway AL, Stenehjem E, Hughes A, Dalton AF, Natarajan K, Dascomb K, Raiyani C, Irving SA, Sloan-Aagard C, Kharbanda AB, DeSilva MB, Dixon BE, Ong TC, Keller J, Dickerson M, Grisel N, Murthy K, Nanez J, Fadel WF, Ball SW, Patel P, Arndorfer J, Mamawala M, Valvi NR, Dunne MM, Griggs EP, Embi PJ, Thompson MG, Link-Gelles R, Tenforde MW. Number needed to vaccinate with a COVID-19 booster to prevent a COVID-19-associated hospitalization during SARS-CoV-2 Omicron BA.1 variant predominance, December 2021-February 2022, VISION Network: a retrospective cohort study. Lancet Reg Health Am 2023; 23:100530. [PMID: 37333688 PMCID: PMC10266334 DOI: 10.1016/j.lana.2023.100530] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 05/17/2023] [Accepted: 05/24/2023] [Indexed: 06/20/2023]
Abstract
Background Understanding the usefulness of additional COVID-19 vaccine doses-particularly given varying disease incidence-is needed to support public health policy. We characterize the benefits of COVID-19 booster doses using number needed to vaccinate (NNV) to prevent one COVID-19-associated hospitalization or emergency department encounter. Methods We conducted a retrospective cohort study of immunocompetent adults at five health systems in four U.S. states during SARS-CoV-2 Omicron BA.1 predominance (December 2021-February 2022). Included patients completed a primary mRNA COVID-19 vaccine series and were either eligible to or received a booster dose. NNV were estimated using hazard ratios for each outcome (hospitalization and emergency department encounters), with results stratified by three 25-day periods and site. Findings 1,285,032 patients contributed 938 hospitalizations and 2076 emergency department encounters. 555,729 (43.2%) patients were aged 18-49 years, 363,299 (28.3%) 50-64 years, and 366,004 (28.5%) ≥65 years. Most patients were female (n = 765,728, 59.6%), White (n = 990,224, 77.1%), and non-Hispanic (n = 1,063,964, 82.8%). 37.2% of patients received a booster and 62.8% received only two doses. Median estimated NNV to prevent one hospitalization was 205 (range 44-615) and NNV was lower across study periods for adults aged ≥65 years (110, 46, and 88, respectively) and those with underlying medical conditions (163, 69, and 131, respectively). Median estimated NNV to prevent one emergency department encounter was 156 (range 75-592). Interpretation The number of patients needed to receive a booster dose was highly dependent on local disease incidence, outcome severity, and patient risk factors for moderate-to-severe disease. Funding Funding was provided by the Centers for Disease Control and Prevention though contract 75D30120C07986 to Westat, Inc. and contract 75D30120C07765 to Kaiser Foundation Hospitals.
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Affiliation(s)
- Katherine Adams
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
- School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Texas A&M University College of Medicine, Temple, TX, USA
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Emily Hartmann
- Paso del Norte Health Information Exchange (PHIX), El Paso, TX, USA
| | | | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | | | - Alexandra F Dalton
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
- NewYork-Presbyterian Hospital, New York, NY, USA
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | | | | | - Chantel Sloan-Aagard
- Paso del Norte Health Information Exchange (PHIX), El Paso, TX, USA
- Brigham Young University Department of Public Health, Provo, UT, USA
| | | | | | - Brian E Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | - Toan C Ong
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Monica Dickerson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | | | - Juan Nanez
- Paso del Norte Health Information Exchange (PHIX), El Paso, TX, USA
| | - William F Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | | | - Palak Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, UT, USA
| | | | - Nimish R Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
| | | | - Eric P Griggs
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Peter J Embi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mark G Thompson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ruth Link-Gelles
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
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Link-Gelles R, Weber ZA, Reese SE, Payne AB, Gaglani M, Adams K, Kharbanda AB, Natarajan K, DeSilva MB, Dascomb K, Irving SA, Klein NP, Grannis SJ, Ong TC, Embi PJ, Dunne MM, Dickerson M, McEvoy C, Arndorfer J, Naleway AL, Goddard K, Dixon BE, Griggs EP, Hansen J, Valvi N, Najdowski M, Timbol J, Rogerson C, Fireman B, Fadel WF, Patel P, Ray CS, Wiegand R, Ball S, Tenforde MW. Estimates of Bivalent mRNA Vaccine Durability in Preventing COVID-19-Associated Hospitalization and Critical Illness Among Adults with and Without Immunocompromising Conditions - VISION Network, September 2022-April 2023. Am J Transplant 2023; 23:1062-1076. [PMID: 37394267 DOI: 10.1016/j.ajt.2023.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Affiliation(s)
- Ruth Link-Gelles
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC.
| | | | | | - Amanda B Payne
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Manjusha Gaglani
- Section of Pediatric Infectious Diseases, Department of Pediatrics, Baylor Scott & White Health, Temple, Texas; Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas
| | - Katherine Adams
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | | | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York; NewYork-Presbyterian Hospital, New York, New York
| | | | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | | | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana; School of Medicine, Indiana University, Indianapolis, Indiana
| | - Toan C Ong
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Peter J Embi
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Monica Dickerson
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | | | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | | | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Brian E Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana; Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Eric P Griggs
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC
| | - John Hansen
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Nimish Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
| | - Morgan Najdowski
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Julius Timbol
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Colin Rogerson
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - William F Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana; Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Palak Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Caitlin S Ray
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Ryan Wiegand
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC
| | | | - Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
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Begley KM, Monto AS, Lamerato LE, Malani AN, Lauring AS, Talbot HK, Gaglani M, McNeal T, Silveira FP, Zimmerman RK, Middleton DB, Ghamande S, Murthy K, Kim L, Ferdinands JM, Patel MM, Martin ET. Prevalence and Clinical Outcomes of Respiratory Syncytial Virus vs Influenza in Adults Hospitalized With Acute Respiratory Illness From a Prospective Multicenter Study. Clin Infect Dis 2023; 76:1980-1988. [PMID: 36694363 PMCID: PMC10250013 DOI: 10.1093/cid/ciad031] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/06/2023] [Accepted: 01/13/2023] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Current understanding of severe respiratory syncytial virus (RSV) infections in adults is limited by clinical underrecognition. We compared the prevalence, clinical characteristics, and outcomes of RSV infections vs influenza in adults hospitalized with acute respiratory illnesses (ARIs) in a prospective national surveillance network. METHODS Hospitalized adults who met a standardized ARI case definition were prospectively enrolled across 3 respiratory seasons from hospitals participating across all sites of the US Hospitalized Adult Influenza Vaccine Effectiveness Network (2016-2019). All participants were tested for RSV and influenza using real-time reverse-transcription polymerase chain reaction assay. Multivariable logistic regression was used to test associations between laboratory-confirmed infection and characteristics and clinical outcomes. RESULTS Among 10 311 hospitalized adults, 6% tested positive for RSV (n = 622), 18.8% for influenza (n = 1940), and 75.1% negative for RSV and influenza (n = 7749). Congestive heart failure (CHF) or chronic obstructive pulmonary disease (COPD) was more frequent with RSV than influenza (CHF: 37.3% vs 28.8%, P < .0001; COPD: 47.6% vs 35.8%, P < .0001). Patients with RSV more frequently had longer admissions (odds ratio [OR], 1.38; 95% confidence interval [CI], 1.06-1.80) for stays >1 week) and mechanical ventilation (OR, 1.45; 95% CI, 1.09-1.93) compared with influenza but not compared with the influenza-negative group (OR, 1.03; 95% CI, .82-1.28 and OR, 1.17; 95% CI, .91-1.49, respectively). CONCLUSIONS The prevalence of RSV across 3 seasons was considerable. Our findings suggest that those with RSV have worse outcomes compared with influenza and frequently have cardiopulmonary conditions. This study informs future vaccination strategies and underscores a need for RSV surveillance among adults with severe ARI.
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Affiliation(s)
- Katherine M Begley
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Lois E Lamerato
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA
| | - Anurag N Malani
- Department of Medicine, Section of Infectious Diseases, Trinity Health St Joseph Mercy Hospital, Ann Arbor, Michigan, USA
- Department of Infection Prevention and Control, Trinity Health St Joseph Mercy Hospital, Ann Arbor, Michigan, USA
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - H Keipp Talbot
- Department of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott & White Health, Temple, Texas, USA
- Department of Medical Education at Texas A&M University, College of Medicine, Temple, Texas, USA
| | - Tresa McNeal
- Department of Medical Education at Texas A&M University, College of Medicine, Temple, Texas, USA
- Department of Internal Medicine, Section of Hospital Medicine, Baylor Scott & White Health, Temple, Texas, USA
| | - Fernanda P Silveira
- University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Richard K Zimmerman
- University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Donald B Middleton
- University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Shekhar Ghamande
- Department of Medical Education at Texas A&M University, College of Medicine, Temple, Texas, USA
- Department of Internal Medicine, Section of Critical Care and Pulmonary Medicine, Baylor Scott & White Health, Temple, Texas, USA
| | - Kempapura Murthy
- Data/Biostatistics Research Core, Baylor Scott & White Health, Temple, Texas, USA
| | - Lindsay Kim
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- US Public Health Service, Rockville, Maryland, USA
| | - Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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Naleway AL, Kim SS, Flannery B, Levine MZ, Murthy K, Sambhara S, Gangappa S, Edwards LJ, Ball S, Grant L, Zunie T, Cao W, Gross FL, Groom H, Fry AM, Hunt D, Jeddy Z, Mishina M, Wesley MG, Spencer S, Thompson MG, Gaglani M, Dawood FS. Immunogenicity of High-Dose Egg-Based, Recombinant, and Cell Culture-Based Influenza Vaccines Compared With Standard-Dose Egg-Based Influenza Vaccine Among Health Care Personnel Aged 18-65 Years in 2019-2020. Open Forum Infect Dis 2023; 10:ofad223. [PMID: 37305842 PMCID: PMC10249269 DOI: 10.1093/ofid/ofad223] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/20/2023] [Indexed: 06/13/2023] Open
Abstract
Background Emerging data suggest that second-generation influenza vaccines with higher hemagglutinin (HA) antigen content and/or different production methods may induce stronger antibody responses to HA than standard-dose egg-based influenza vaccines in adults. We compared antibody responses to high-dose egg-based inactivated (HD-IIV3), recombinant (RIV4), and cell culture-based (ccIIV4) vs standard-dose egg-based inactivated influenza vaccine (SD-IIV4) among health care personnel (HCP) aged 18-65 years in 2 influenza seasons (2018-2019, 2019-2020). Methods In the second trial season, newly and re-enrolled HCPs who received SD-IIV4 in season 1 were randomized to receive RIV4, ccIIV4, or SD-IIV4 or were enrolled in an off-label, nonrandomized arm to receive HD-IIV3. Prevaccination and 1-month-postvaccination sera were tested by hemagglutination inhibition (HI) assay against 4 cell culture propagated vaccine reference viruses. Primary outcomes, adjusted for study site and baseline HI titer, were seroconversion rate (SCR), geometric mean titers (GMTs), mean fold rise (MFR), and GMT ratios that compared vaccine groups to SD-IIV4. Results Among 390 HCP in the per-protocol population, 79 received HD-IIV3, 103 RIV4, 106 ccIIV4, and 102 SD-IIV4. HD-IIV3 recipients had similar postvaccination antibody titers compared with SD-IIV4 recipients, whereas RIV4 recipients had significantly higher 1-month-postvaccination antibody titers against vaccine reference viruses for all outcomes. Conclusions HD-IIV3 did not induce higher antibody responses than SD-IIV4, but, consistent with previous studies, RIV4 was associated with higher postvaccination antibody titers. These findings suggest that recombinant vaccines rather than vaccines with higher egg-based antigen doses may provide improved antibody responses in highly vaccinated populations.
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Affiliation(s)
- Allison L Naleway
- Correspondence: Allison Naleway, PhD, Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave, Portland, OR 97227 (); or Fatimah Dawood, MD, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333 ()
| | - Sara S Kim
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Min Z Levine
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | | | | | | | - Lauren Grant
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Weiping Cao
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - F Liaini Gross
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Holly Groom
- Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Alicia M Fry
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | | | - Meredith G Wesley
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Abt Associates, Atlanta, Georgia, USA
| | - Sarah Spencer
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mark G Thompson
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas, USA
- Texas A&M University, College of Medicine, Temple, Texas, USA
| | - Fatimah S Dawood
- Correspondence: Allison Naleway, PhD, Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave, Portland, OR 97227 (); or Fatimah Dawood, MD, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333 ()
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Link-Gelles R, Weber ZA, Reese SE, Payne AB, Gaglani M, Adams K, Kharbanda AB, Natarajan K, DeSilva MB, Dascomb K, Irving SA, Klein NP, Grannis SJ, Ong TC, Embi PJ, Dunne MM, Dickerson M, McEvoy C, Arndorfer J, Naleway AL, Goddard K, Dixon BE, Griggs EP, Hansen J, Valvi N, Najdowski M, Timbol J, Rogerson C, Fireman B, Fadel WF, Patel P, Ray CS, Wiegand R, Ball S, Tenforde MW. Estimates of Bivalent mRNA Vaccine Durability in Preventing COVID-19-Associated Hospitalization and Critical Illness Among Adults with and Without Immunocompromising Conditions - VISION Network, September 2022-April 2023. MMWR Morb Mortal Wkly Rep 2023; 72:579-588. [PMID: 37227984 DOI: 10.15585/mmwr.mm7221a3] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
On September 1, 2022, CDC's Advisory Committee on Immunization Practices (ACIP) recommended a single bivalent mRNA COVID-19 booster dose for persons aged ≥12 years who had completed at least a monovalent primary series. Early vaccine effectiveness (VE) estimates among adults aged ≥18 years showed receipt of a bivalent booster dose provided additional protection against COVID-19-associated emergency department and urgent care visits and hospitalizations compared with that in persons who had received only monovalent vaccine doses (1); however, insufficient time had elapsed since bivalent vaccine authorization to assess the durability of this protection. The VISION Network* assessed VE against COVID-19-associated hospitalizations by time since bivalent vaccine receipt during September 13, 2022-April 21, 2023, among adults aged ≥18 years with and without immunocompromising conditions. During the first 7-59 days after vaccination, compared with no vaccination, VE for receipt of a bivalent vaccine dose among adults aged ≥18 years was 62% (95% CI = 57%-67%) among adults without immunocompromising conditions and 28% (95% CI = 10%-42%) among adults with immunocompromising conditions. Among adults without immunocompromising conditions, VE declined to 24% (95% CI = 12%-33%) among those aged ≥18 years by 120-179 days after vaccination. VE was generally lower for adults with immunocompromising conditions. A bivalent booster dose provided the highest protection, and protection was sustained through at least 179 days against critical outcomes, including intensive care unit (ICU) admission or in-hospital death. These data support updated recommendations allowing additional optional bivalent COVID-19 vaccine doses for certain high-risk populations. All eligible persons should stay up to date with recommended COVID-19 vaccines.
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Surie D, Bonnell LN, DeCuir J, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Busse LW, Prekker ME, Peltan ID, Brown SM, Hager DN, Ali H, Gong MN, Mohamed A, Khan A, Wilson JG, Qadir N, Chang SY, Ginde AA, Huynh D, Mohr NM, Mallow C, Martin ET, Lauring AS, Johnson NJ, Casey JD, Gibbs KW, Kwon JH, Baughman A, Chappell JD, Hart KW, Grijalva CG, Rhoads JP, Swan SA, Keipp Talbot H, Womack KN, Zhu Y, Tenforde MW, Adams K, Self WH, McMorrow ML. Comparison of mRNA vaccine effectiveness against COVID-19-associated hospitalization by vaccination source: Immunization information systems, electronic medical records, and self-report-IVY Network, February 1-August 31, 2022. Vaccine 2023:S0264-410X(23)00567-4. [PMID: 37301704 DOI: 10.1016/j.vaccine.2023.05.028] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Accurate determination of COVID-19 vaccination status is necessary to produce reliable COVID-19 vaccine effectiveness (VE) estimates. Data comparing differences in COVID-19 VE by vaccination sources (i.e., immunization information systems [IIS], electronic medical records [EMR], and self-report) are limited. We compared the number of mRNA COVID-19 vaccine doses identified by each of these sources to assess agreement as well as differences in VE estimates using vaccination data from each individual source and vaccination data adjudicated from all sources combined. METHODS Adults aged ≥18 years who were hospitalized with COVID-like illness at 21 hospitals in 18 U.S. states participating in the IVY Network during February 1-August 31, 2022, were enrolled. Numbers of COVID-19 vaccine doses identified by IIS, EMR, and self-report were compared in kappa agreement analyses. Effectiveness of mRNA COVID-19 vaccines against COVID-19-associated hospitalization was estimated using multivariable logistic regression models to compare the odds of COVID-19 vaccination between SARS-CoV-2-positive case-patients and SARS-CoV-2-negative control-patients. VE was estimated using each source of vaccination data separately and all sources combined. RESULTS A total of 4499 patients were included. Patients with ≥1 mRNA COVID-19 vaccine dose were identified most frequently by self-report (n = 3570, 79 %), followed by IIS (n = 3272, 73 %) and EMR (n = 3057, 68 %). Agreement was highest between IIS and self-report for 4 doses with a kappa of 0.77 (95 % CI = 0.73-0.81). VE point estimates of 3 doses against COVID-19 hospitalization were substantially lower when using vaccination data from EMR only (VE = 31 %, 95 % CI = 16 %-43 %) than when using all sources combined (VE = 53 %, 95 % CI = 41 %-62%). CONCLUSION Vaccination data from EMR only may substantially underestimate COVID-19 VE.
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Affiliation(s)
- Diya Surie
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.
| | - Levi N Bonnell
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States; General Dynamics Information Technology, Falls Church, VA, United States
| | - Jennifer DeCuir
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Manjusha Gaglani
- Baylor Scott & White Health and Texas A&M University College of Medicine, Temple, TX, United States
| | - Tresa McNeal
- Baylor Scott & White Health and Texas A&M University College of Medicine, Temple, TX, United States
| | - Shekhar Ghamande
- Baylor Scott & White Health and Texas A&M University College of Medicine, Temple, TX, United States
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, MA, United States
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Laurence W Busse
- Department of Medicine, Emory University, Atlanta, GA, United States
| | - Matthew E Prekker
- Department of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, MN, United States
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, UT and University of Utah, Salt Lake City, UT, United States
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, UT and University of Utah, Salt Lake City, UT, United States
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Harith Ali
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Amira Mohamed
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, OR, United States
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, CA, United States
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, CA, United States
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States
| | - David Huynh
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, IA, United States
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, United States
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Jennie H Kwon
- Department of Medicine, Washington University, St. Louis, MO, United States
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jillian P Rhoads
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Katherine Adams
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Meredith L McMorrow
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
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Dalton AF, Weber ZA, Allen KS, Stenehjem E, Irving SA, Spark TL, Adams K, Zerbo O, Lazariu V, Dixon BE, Dascomb K, Hartmann E, Kharbanda AB, Ong TC, DeSilva MB, Beaton M, Gaglani M, Patel P, Naleway AL, Kish MNS, Grannis SJ, Grisel N, Sloan-Aagard C, Rao S, Raiyani C, Dickerson M, Bassett E, Fadel WF, Arndorfer J, Nanez J, Barron MA, Vazquez-Benitez G, Liao IC, Griggs EP, Reese SE, Valvi NR, Murthy K, Rowley EAK, Embi PJ, Ball S, Link-Gelles R, Tenforde MW. Relationships Between Social Vulnerability and Coronavirus Disease 2019 Vaccination Coverage and Vaccine Effectiveness. Clin Infect Dis 2023; 76:1615-1625. [PMID: 36611252 PMCID: PMC10949185 DOI: 10.1093/cid/ciad003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/09/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) vaccination coverage remains lower in communities with higher social vulnerability. Factors such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure risk and access to healthcare are often correlated with social vulnerability and may therefore contribute to a relationship between vulnerability and observed vaccine effectiveness (VE). Understanding whether these factors impact VE could contribute to our understanding of real-world VE. METHODS We used electronic health record data from 7 health systems to assess vaccination coverage among patients with medically attended COVID-19-like illness. We then used a test-negative design to assess VE for 2- and 3-dose messenger RNA (mRNA) adult (≥18 years) vaccine recipients across Social Vulnerability Index (SVI) quartiles. SVI rankings were determined by geocoding patient addresses to census tracts; rankings were grouped into quartiles for analysis. RESULTS In July 2021, primary series vaccination coverage was higher in the least vulnerable quartile than in the most vulnerable quartile (56% vs 36%, respectively). In February 2022, booster dose coverage among persons who had completed a primary series was higher in the least vulnerable quartile than in the most vulnerable quartile (43% vs 30%). VE among 2-dose and 3-dose recipients during the Delta and Omicron BA.1 periods of predominance was similar across SVI quartiles. CONCLUSIONS COVID-19 vaccination coverage varied substantially by SVI. Differences in VE estimates by SVI were minimal across groups after adjusting for baseline patient factors. However, lower vaccination coverage among more socially vulnerable groups means that the burden of illness is still disproportionately borne by the most socially vulnerable populations.
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Affiliation(s)
- Alexandra F Dalton
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia, USA
| | | | - Katie S Allen
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Stephanie A Irving
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | | | - Katherine Adams
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia, USA
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | | | - Brian E Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Emily Hartmann
- Paso del Norte Health Information Exchange (PHIX), El Paso, Texas, USA
| | - Anupam B Kharbanda
- Department of Pediatric Emergency Medicine, Children's Minnesota, Minneapolis, Minnesota, USA
| | - Toan C Ong
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Malini B DeSilva
- Division of Research, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Maura Beaton
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas, USA
- Texas A&M University College of Medicine, Temple, Texas, USA
| | - Palak Patel
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia, USA
| | - Allison L Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | | | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Chantel Sloan-Aagard
- Paso del Norte Health Information Exchange (PHIX), El Paso, Texas, USA
- Brigham Young University Department of Public Health, Provo, Utah, USA
| | - Suchitra Rao
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | | | - Monica Dickerson
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia, USA
| | | | - William F Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Juan Nanez
- Paso del Norte Health Information Exchange (PHIX), El Paso, Texas, USA
| | - Michelle A Barron
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | | | - I Chia Liao
- Baylor Scott & White Health, Temple, Texas, USA
| | - Eric P Griggs
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia, USA
| | | | - Nimish R Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
| | | | | | - Peter J Embi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Ruth Link-Gelles
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia, USA
| | - Mark W Tenforde
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia, USA
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Tartof SY, Xie F, Yadav R, Wernli KJ, Martin ET, Belongia EA, Gaglani M, Zimmerman RK, Talbot HK, Thornburg N, Flannery B. Prior SARS-CoV-2 infection and COVID-19 vaccine effectiveness against outpatient illness during widespread circulation of SARS-CoV-2 Omicron variant, US Flu VE network. Influenza Other Respir Viruses 2023; 17:e13143. [PMID: 37246146 PMCID: PMC10209645 DOI: 10.1111/irv.13143] [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: 01/11/2023] [Revised: 04/28/2023] [Accepted: 05/03/2023] [Indexed: 05/30/2023] Open
Abstract
BACKGROUND We estimated combined protection conferred by prior SARS-CoV-2 infection and COVID-19 vaccination against COVID-19-associated acute respiratory illness (ARI). METHODS During SARS-CoV-2 Delta (B.1.617.2) and Omicron (B.1.1.529) variant circulation between October 2021 and April 2022, prospectively enrolled adult patients with outpatient ARI had respiratory and filter paper blood specimens collected for SARS-CoV-2 molecular testing and serology. Dried blood spots were tested for immunoglobulin-G antibodies against SARS-CoV-2 nucleocapsid (NP) and spike protein receptor binding domain antigen using a validated multiplex bead assay. Evidence of prior SARS-CoV-2 infection also included documented or self-reported laboratory-confirmed COVID-19. We used documented COVID-19 vaccination status to estimate vaccine effectiveness (VE) by multivariable logistic regression by prior infection status. RESULTS Four hundred fifty-five (29%) of 1577 participants tested positive for SARS-CoV-2 infection at enrollment; 209 (46%) case-patients and 637 (57%) test-negative patients were NP seropositive, had documented previous laboratory-confirmed COVID-19, or self-reported prior infection. Among previously uninfected patients, three-dose VE was 97% (95% confidence interval [CI], 60%-99%) against Delta, but not statistically significant against Omicron. Among previously infected patients, three-dose VE was 57% (CI, 20%-76%) against Omicron; VE against Delta could not be estimated. CONCLUSIONS Three mRNA COVID-19 vaccine doses provided additional protection against SARS-CoV-2 Omicron variant-associated illness among previously infected participants.
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Affiliation(s)
- Sara Y. Tartof
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCaliforniaUSA
- Department of Health Systems ScienceKaiser Permanente Bernard J. Tyson School of MedicinePasadenaCaliforniaUSA
| | - Fagen Xie
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCaliforniaUSA
| | - Ruchi Yadav
- Centers for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Karen J. Wernli
- Kaiser Permanente Washington Health Research InstituteSeattleWashingtonUSA
| | - Emily T. Martin
- University of Michigan School of Public HealthAnn ArborMichiganUSA
| | | | - Manjusha Gaglani
- Baylor Scott & White HealthTempleTexasUSA
- Texas A&M University College of MedicineTempleTexasUSA
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DeCuir J, Surie D, Zhu Y, Gaglani M, Ginde AA, Douin DJ, Talbot HK, Casey JD, Mohr NM, McNeal T, Ghamande S, Gibbs KW, Files DC, Hager DN, Phan M, Prekker ME, Gong MN, Mohamed A, Johnson NJ, Steingrub JS, Peltan ID, Brown SM, Martin ET, Monto AS, Khan A, Bender WS, Duggal A, Wilson JG, Qadir N, Chang SY, Mallow C, Kwon JH, Exline MC, Lauring AS, Shapiro NI, Columbus C, Gottlieb R, Vaughn IA, Ramesh M, Lamerato LE, Safdar B, Halasa N, Chappell JD, Grijalva CG, Baughman A, Womack KN, Rhoads JP, Hart KW, Swan SA, Lewis N, McMorrow ML, Self WH. Effectiveness of Monovalent mRNA COVID-19 Vaccination in Preventing COVID-19-Associated Invasive Mechanical Ventilation and Death Among Immunocompetent Adults During the Omicron Variant Period - IVY Network, 19 U.S. States, February 1, 2022-January 31, 2023. MMWR Morb Mortal Wkly Rep 2023; 72:463-468. [PMID: 37104244 DOI: 10.15585/mmwr.mm7217a3] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
As of April 2023, the COVID-19 pandemic has resulted in 1.1 million deaths in the United States, with approximately 75% of deaths occurring among adults aged ≥65 years (1). Data on the durability of protection provided by monovalent mRNA COVID-19 vaccination against critical outcomes of COVID-19 are limited beyond the Omicron BA.1 lineage period (December 26, 2021-March 26, 2022). In this case-control analysis, the effectiveness of 2-4 monovalent mRNA COVID-19 vaccine doses was evaluated against COVID-19-associated invasive mechanical ventilation (IMV) and in-hospital death among immunocompetent adults aged ≥18 years during February 1, 2022-January 31, 2023. Vaccine effectiveness (VE) against IMV and in-hospital death was 62% among adults aged ≥18 years and 69% among those aged ≥65 years. When stratified by time since last dose, VE was 76% at 7-179 days, 54% at 180-364 days, and 56% at ≥365 days. Monovalent mRNA COVID-19 vaccination provided substantial, durable protection against IMV and in-hospital death among adults during the Omicron variant period. All adults should remain up to date with recommended COVID-19 vaccination to prevent critical COVID-19-associated outcomes.
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Price AM, Flannery B, Talbot HK, Grijalva CG, Wernli KJ, Phillips CH, Monto AS, Martin ET, Belongia EA, McLean HQ, Gaglani M, Mutnal M, Geffel KM, Nowalk MP, Tartof SY, Florea A, McLean C, Kim SS, Patel MM, Chung JR. Influenza Vaccine Effectiveness Against Influenza A(H3N2)-Related Illness in the United States During the 2021-2022 Influenza Season. Clin Infect Dis 2023; 76:1358-1363. [PMID: 36504336 PMCID: PMC10893961 DOI: 10.1093/cid/ciac941] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [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: 10/05/2022] [Revised: 11/28/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND In the United States, influenza activity during the 2021-2022 season was modest and sufficient enough to estimate influenza vaccine effectiveness (VE) for the first time since the beginning of the coronavirus disease 2019 pandemic. We estimated influenza VE against laboratory-confirmed outpatient acute illness caused by predominant A(H3N2) viruses. METHODS Between October 2021 and April 2022, research staff across 7 sites enrolled patients aged ≥6 months seeking outpatient care for acute respiratory illness with cough. Using a test-negative design, we assessed VE against influenza A(H3N2). Due to strong correlation between influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination, participants who tested positive for SARS-CoV-2 were excluded from VE estimations. Estimates were adjusted for site, age, month of illness, race/ethnicity, and general health status. RESULTS Among 6260 participants, 468 (7%) tested positive for influenza only, including 440 (94%) for A(H3N2). All 206 sequenced A(H3N2) viruses were characterized as belonging to genetic group 3C.2a1b subclade 2a.2, which has antigenic differences from the 2021-2022 season A(H3N2) vaccine component that belongs to clade 3C.2a1b subclade 2a.1. After excluding 1948 SARS-CoV-2-positive patients, 4312 patients were included in analyses of influenza VE; 2463 (57%) were vaccinated against influenza. Effectiveness against A(H3N2) for all ages was 36% (95% confidence interval, 20%-49%) overall. CONCLUSIONS Influenza vaccination in 2021-2022 provided protection against influenza A(H3N2)-related outpatient visits among young persons.
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Affiliation(s)
- Ashley M Price
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - C Hallie Phillips
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | | | | | - Manjusha Gaglani
- Department of Pediatrics, Baylor Scott & White Health, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Manohar Mutnal
- Department of Pediatrics, Baylor Scott & White Health, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Krissy Moehling Geffel
- Department of Family Medicine, University of Pittsburgh Schools of the Health Sciences and University of Pittsburgh Medical Center, Pittsburgh, Pannsylvania, USA
| | - Mary Patricia Nowalk
- Department of Family Medicine, University of Pittsburgh Schools of the Health Sciences and University of Pittsburgh Medical Center, Pittsburgh, Pannsylvania, USA
| | - Sara Y Tartof
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Ana Florea
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Callie McLean
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sara S Kim
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jessie R Chung
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Klein NP, Demarco M, Fleming-Dutra KE, Stockwell MS, Kharbanda AB, Gaglani M, Rao S, Lewis N, Irving SA, Hartmann E, Natarajan K, Dalton AF, Zerbo O, DeSilva MB, Konatham D, Stenehjem E, Rowley EAK, Ong TC, Grannis SJ, Sloan-Aagard C, Han J, Verani JR, Raiyani C, Dascomb K, Reese SE, Barron MA, Fadel WF, Naleway AL, Nanez J, Dickerson M, Goddard K, Murthy K, Grisel N, Weber ZA, Dixon BE, Patel P, Fireman B, Arndorfer J, Valvi NR, Griggs EP, Hallowell C, Embi PJ, Ball SW, Thompson MG, Tenforde MW, Link-Gelles R. Effectiveness of BNT162b2 COVID-19 Vaccination in Children and Adolescents. Pediatrics 2023; 151:191035. [PMID: 37026401 DOI: 10.1542/peds.2022-060894] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/08/2023] [Indexed: 04/08/2023] Open
Abstract
OBJECTIVES We assessed BNT162b2 vaccine effectiveness (VE) against mild to moderate and severe coronavirus disease 2019 (COVID-19) in children and adolescents through the Omicron BA.4/BA.5 period. METHODS Using VISION Network records from April 2021 to September 2022, we conducted a test-negative, case-control study assessing VE against COVID-19-associated emergency department/urgent care (ED/UC) encounters and hospitalizations using logistic regression, conditioned on month and site, adjusted for covariates. RESULTS We compared 9800 ED/UC cases with 70 232 controls, and 305 hospitalized cases with 2612 controls. During Delta, 2-dose VE against ED/UC encounters at 12 to 15 years was initially 93% (95% confidence interval 89 to 95), waning to 77% (69% to 84%) after ≥150 days. At ages 16 to 17, VE was initially 93% (86% to 97%), waning to 72% (63% to 79%) after ≥150 days. During Omicron, VE at ages 12 to 15 was initially 64% (44% to 77%), waning to 13% (3% to 23%) after 60 days; at ages 16 to 17 VE was 31% (10% to 47%) during days 60 to 149, waning to 7% (-8 to 20%) after 150 days. A monovalent booster increased VE to 54% (40% to 65%) at ages 12 to 15 and 46% (30% to 58%) at ages 16 to 17. At ages 5 to 11, 2-dose VE was 49% (33% to 61%) initially and 41% (29% to 51%) after 150 days. During Delta, VE against hospitalizations at ages 12 to 17 was high (>97%), and at ages 16 to 17 remained 98% (73% to 100%) beyond 150 days; during Omicron, hospitalizations were too infrequent to precisely estimate VE. CONCLUSIONS BNT162b2 protected children and adolescents against mild to moderate and severe COVID-19. VE was lower during Omicron predominance including BA.4/BA.5, waned after dose 2 but increased after a monovalent booster. Children and adolescents should receive all recommended COVID-19 vaccinations.
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Affiliation(s)
- Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | | | | | - Melissa S Stockwell
- Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York
- NewYork-Presbyterian Hospital, New York, New York
| | | | - Manjusha Gaglani
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott & White Health, Temple, Texas
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | | | - Emily Hartmann
- Paso del Norte Health Information Exchange (PHIX), El Paso, Texas
| | - Karthik Natarajan
- NewYork-Presbyterian Hospital, New York, New York
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
| | - Alexandra F Dalton
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | | | - Deepika Konatham
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott & White Health, Temple, Texas
| | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | | | - Toan C Ong
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Shaun J Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- School of Medicine, Indiana University, Indianapolis, Indiana
| | - Chantel Sloan-Aagard
- Paso del Norte Health Information Exchange (PHIX), El Paso, Texas
- Brigham Young University Department of Public Health, Provo, Utah
| | - Jungmi Han
- Paso del Norte Health Information Exchange (PHIX), El Paso, Texas
| | - Jennifer R Verani
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Chandni Raiyani
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott & White Health, Temple, Texas
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | | | - Michelle A Barron
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - William F Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- Fairbanks School of Public Health, Indiana University, Indianapolis; and
| | | | - Juan Nanez
- Paso del Norte Health Information Exchange (PHIX), El Paso, Texas
| | - Monica Dickerson
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Kempapura Murthy
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott & White Health, Temple, Texas
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | | | - Brian E Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- Fairbanks School of Public Health, Indiana University, Indianapolis; and
| | - Palak Patel
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Nimish R Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
| | - Eric P Griggs
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | | | - Peter J Embi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Mark G Thompson
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Mark W Tenforde
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Ruth Link-Gelles
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
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Hood N, Flannery B, Gaglani M, Beeram M, Wernli K, Jackson ML, Martin ET, Monto AS, Zimmerman R, Raviotta J, Belongia EA, McLean HQ, Kim S, Patel MM, Chung JR. Influenza Vaccine Effectiveness Among Children: 2011-2020. Pediatrics 2023; 151:e2022059922. [PMID: 36960655 PMCID: PMC10071433 DOI: 10.1542/peds.2022-059922] [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] [Accepted: 01/04/2023] [Indexed: 03/25/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Infants and children are at increased risk of severe influenza virus infection and its complications. Influenza vaccine effectiveness (VE) varies by age, influenza season, and influenza virus type/subtype. This study's objective was to examine the effectiveness of inactivated influenza vaccine against outpatient influenza illness in the pediatric population over 9 influenza seasons after the 2009 A(H1N1) pandemic. METHODS During the 2011-2012 through the 2019-2020 influenza seasons at outpatient clinics at 5 sites of the US Influenza Vaccine Effectiveness Network, children aged 6 months to 17 years with an acute respiratory illness were tested for influenza using real-time, reverse-transcriptase polymerase chain reaction. Vaccine effectiveness was estimated using a test-negative design. RESULTS Among 24 148 enrolled children, 28% overall tested positive for influenza, 3017 tested positive for influenza A(H3N2), 1459 for influenza A(H1N1)pdm09, and 2178 for influenza B. Among all enrollees, 39% overall were vaccinated, with 29% of influenza cases and 43% of influenza-negative controls vaccinated. Across all influenza seasons, the pooled VE for any influenza was 46% (95% confidence interval, 43-50). Overall and by type/subtype, VE against influenza illness was highest among children in the 6- to 59-month age group compared with older pediatric age groups. VE was lowest for influenza A(H3N2) virus infection. CONCLUSIONS Analysis of multiple seasons suggested substantial benefit against outpatient illness. Investigation of host-specific or virus-related mechanisms that may result in differences by age and virus type/subtype may help further efforts to promote increased vaccination coverage and other influenza-related preventative measures.
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Affiliation(s)
- Nicole Hood
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Brendan Flannery
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Manjusha Gaglani
- Texas A&M University Health Science Center College of Medicine, Temple, Texas
- Baylor Scott & White Health Research Institute, Temple, Texas
| | - Madhava Beeram
- Texas A&M University Health Science Center College of Medicine, Temple, Texas
- Baylor Scott & White Health Research Institute, Temple, Texas
| | - Karen Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Michael L. Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Emily T. Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Arnold S. Monto
- School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Richard Zimmerman
- School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jonathan Raviotta
- School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | | | - Sara Kim
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Manish M. Patel
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jessie R. Chung
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia
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42
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Tenforde MW, Patel MM, Lewis NM, Adams K, Gaglani M, Steingrub JS, Shapiro NI, Duggal A, Prekker ME, Peltan ID, Hager DN, Gong MN, Exline MC, Ginde AA, Mohr NM, Mallow C, Martin ET, Talbot HK, Gibbs KW, Kwon JH, Chappell JD, Halasa N, Lauring AS, Lindsell CJ, Swan SA, Hart KW, Womack KN, Baughman A, Grijalva CG, Self WH. Vaccine Effectiveness Against Influenza A(H3N2)-Associated Hospitalized Illness: United States, 2022. Clin Infect Dis 2023; 76:1030-1037. [PMID: 36327388 PMCID: PMC10226741 DOI: 10.1093/cid/ciac869] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic was associated with historically low influenza circulation during the 2020-2021 season, followed by an increase in influenza circulation during the 2021-2022 US season. The 2a.2 subgroup of the influenza A(H3N2) 3C.2a1b subclade that predominated was antigenically different from the vaccine strain. METHODS To understand the effectiveness of the 2021-2022 vaccine against hospitalized influenza illness, a multistate sentinel surveillance network enrolled adults aged ≥18 years hospitalized with acute respiratory illness and tested for influenza by a molecular assay. Using the test-negative design, vaccine effectiveness (VE) was measured by comparing the odds of current-season influenza vaccination in influenza-positive case-patients and influenza-negative, SARS-CoV-2-negative controls, adjusting for confounders. A separate analysis was performed to illustrate bias introduced by including SARS-CoV-2-positive controls. RESULTS A total of 2334 patients, including 295 influenza cases (47% vaccinated), 1175 influenza- and SARS-CoV-2-negative controls (53% vaccinated), and 864 influenza-negative and SARS-CoV-2-positive controls (49% vaccinated), were analyzed. Influenza VE was 26% (95% CI: -14% to 52%) among adults aged 18-64 years, -3% (-54% to 31%) among adults aged ≥65 years, and 50% (15-71%) among adults aged 18-64 years without immunocompromising conditions. Estimated VE decreased with inclusion of SARS-CoV-2-positive controls. CONCLUSIONS During a season where influenza A(H3N2) was antigenically different from the vaccine virus, vaccination was associated with a reduced risk of influenza hospitalization in younger immunocompetent adults. However, vaccination did not provide protection in adults ≥65 years of age. Improvements in vaccines, antivirals, and prevention strategies are warranted.
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Affiliation(s)
- Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nathaniel M Lewis
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | - Matthew E Prekker
- Departments of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St Louis, Missouri, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Christopher J Lindsell
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Wesley H Self
- Vanderbilt Institute for Clinical and Translational Research and Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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43
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Tenforde MW, Weber ZA, Natarajan K, Klein NP, Kharbanda AB, Stenehjem E, Embi PJ, Reese SE, Naleway AL, Grannis SJ, DeSilva MB, Ong TC, Gaglani M, Han J, Dickerson M, Fireman B, Dascomb K, Irving SA, Vazquez-Benitez G, Rao S, Konatham D, Patel P, Schrader KE, Lewis N, Grisel N, McEvoy C, Murthy K, Griggs EP, Rowley EAK, Zerbo O, Arndorfer J, Dunne MM, Goddard K, Ray C, Zhuang Y, Timbol J, Najdowski M, Yang DH, Hansen J, Ball SW, Link-Gelles R. Early Estimates of Bivalent mRNA Vaccine Effectiveness in Preventing COVID-19-Associated Emergency Department or Urgent Care Encounters and Hospitalizations Among Immunocompetent Adults - VISION Network, Nine States, September-November 2022. MMWR Morb Mortal Wkly Rep 2023; 71:1637-1646. [PMID: 36921274 PMCID: PMC10027383 DOI: 10.15585/mmwr.mm7153a1] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
During June-October 2022, the SARS-CoV-2 Omicron BA.5 sublineage accounted for most of the sequenced viral genomes in the United States, with further Omicron sublineage diversification through November 2022.* Bivalent mRNA vaccines contain an ancestral SARS-CoV-2 strain component plus an updated component of the Omicron BA.4/BA.5 sublineages. On September 1, 2022, a single bivalent booster dose was recommended for adults who had completed a primary vaccination series (with or without subsequent booster doses), with the last dose administered ≥2 months earlier (1). During September 13-November 18, the VISION Network evaluated vaccine effectiveness (VE) of a bivalent mRNA booster dose (after 2, 3, or 4 monovalent doses) compared with 1) no previous vaccination and 2) previous receipt of 2, 3, or 4 monovalent-only mRNA vaccine doses, among immunocompetent adults aged ≥18 years with an emergency department/urgent care (ED/UC) encounter or hospitalization for a COVID-19-like illness.† VE of a bivalent booster dose (after 2, 3, or 4 monovalent doses) against COVID-19-associated ED/UC encounters was 56% compared with no vaccination, 32% compared with monovalent vaccination only with last dose 2-4 months earlier, and 50% compared with monovalent vaccination only with last dose ≥11 months earlier. VE of a bivalent booster dose (after 2, 3, or 4 monovalent doses) against COVID-19-associated hospitalizations was 59% compared with no vaccination, 42% compared with monovalent vaccination only with last dose 5-7 months earlier, and 48% compared with monovalent vaccination only with last dose ≥11 months earlier. Bivalent vaccines administered after 2, 3, or 4 monovalent doses were effective in preventing medically attended COVID-19 compared with no vaccination and provided additional protection compared with past monovalent vaccination only, with relative protection increasing with time since receipt of the last monovalent dose. All eligible persons should stay up to date with recommended COVID-19 vaccinations, including receiving a bivalent booster dose. Persons should also consider taking additional precautions to avoid respiratory illness this winter season, such as masking in public indoor spaces, especially in areas where COVID-19 community levels are high.
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44
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Link-Gelles R, Levy ME, Natarajan K, Reese SE, Naleway AL, Grannis SJ, Klein NP, DeSilva MB, Ong TC, Gaglani M, Hartmann E, Dickerson M, Stenehjem E, Kharbanda AB, Han J, Spark TL, Irving SA, Dixon BE, Zerbo O, McEvoy CE, Rao S, Raiyani C, Sloan-Aagard C, Patel P, Dascomb K, Uhlemann AC, Dunne MM, Fadel WF, Lewis N, Barron MA, Murthy K, Nanez J, Griggs EP, Grisel N, Annavajhala MK, Akinseye A, Valvi NR, Goddard K, Mamawala M, Arndorfer J, Yang DH, Embí PJ, Fireman B, Ball SW, Tenforde MW. Estimation of COVID-19 mRNA Vaccine Effectiveness and COVID-19 Illness and Severity by Vaccination Status During Omicron BA.4 and BA.5 Sublineage Periods. JAMA Netw Open 2023; 6:e232598. [PMID: 36920396 PMCID: PMC10018321 DOI: 10.1001/jamanetworkopen.2023.2598] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
IMPORTANCE Recent SARS-CoV-2 Omicron variant sublineages, including BA.4 and BA.5, may be associated with greater immune evasion and less protection against COVID-19 after vaccination. OBJECTIVES To evaluate the estimated vaccine effectiveness (VE) of 2, 3, or 4 doses of COVID-19 mRNA vaccination among immunocompetent adults during a period of BA.4 or BA.5 predominant circulation; and to evaluate the relative severity of COVID-19 in hospitalized patients across Omicron BA.1, BA.2 or BA.2.12.1, and BA.4 or BA.5 sublineage periods. DESIGN, SETTING, AND PARTICIPANTS This test-negative case-control study was conducted in 10 states with data from emergency department (ED) and urgent care (UC) encounters and hospitalizations from December 16, 2021, to August 20, 2022. Participants included adults with COVID-19-like illness and molecular testing for SARS-CoV-2. Data were analyzed from August 2 to September 21, 2022. EXPOSURES mRNA COVID-19 vaccination. MAIN OUTCOMES AND MEASURES The outcomes of interest were COVID-19 ED or UC encounters, hospitalizations, and admission to the intensive care unit (ICU) or in-hospital death. VE associated with protection against medically attended COVID-19 was estimated, stratified by care setting and vaccine doses (2, 3, or 4 doses vs 0 doses as the reference group). Among hospitalized patients with COVID-19, demographic and clinical characteristics and in-hospital outcomes were compared across sublineage periods. RESULTS During the BA.4 and BA.5 predominant period, there were 82 229 eligible ED and UC encounters among patients with COVID-19-like illness (median [IQR] age, 51 [33-70] years; 49 682 [60.4%] female patients), and 19 114 patients (23.2%) had test results positive for SARS-CoV-2; among 21 007 hospitalized patients (median [IQR] age, 71 [58-81] years; 11 209 [53.4%] female patients), 3583 (17.1 %) had test results positive for SARS-CoV-2. Estimated VE against hospitalization was 25% (95% CI, 17%-32%) for receipt of 2 vaccine doses at 150 days or more after receipt, 68% (95% CI, 50%-80%) for a third dose 7 to 119 days after receipt, and 36% (95% CI, 29%-42%) for a third dose 120 days or more (median [IQR], 235 [204-262] days) after receipt. Among patients aged 65 years or older who had received a fourth vaccine dose, VE was 66% (95% CI, 53%-75%) at 7 to 59 days after vaccination and 57% (95% CI, 44%-66%) at 60 days or more (median [IQR], 88 [75-105] days) after vaccination. Among hospitalized patients with COVID-19, ICU admission or in-hospital death occurred in 21.4% of patients during the BA.1 period vs 14.7% during the BA.4 and BA.5 period (standardized mean difference: 0.17). CONCLUSIONS AND RELEVANCE In this case-control study of COVID-19 vaccines and illness, VE associated with protection against medically attended COVID-19 illness was lower with increasing time since last dose; estimated VE was higher after receipt of 1 or 2 booster doses compared with a primary series alone.
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Affiliation(s)
- Ruth Link-Gelles
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | | | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
- New York–Presbyterian Hospital, New York, New York
| | | | | | - Shaun J. Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- School of Medicine, Indiana University, Indianapolis
| | - Nicola P. Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland
| | | | - Toan C. Ong
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | - Manjusha Gaglani
- Baylor Scott and White Health, Temple, Texas
- Texas A&M University College of Medicine, Temple
| | - Emily Hartmann
- Paso del Norte Health Information Exchange, El Paso, Texas
| | - Monica Dickerson
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | | | - Jungmi Han
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
| | | | | | - Brian E. Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- Fairbanks School of Public Health, Indiana University, Indianapolis
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland
| | | | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | | | - Chantel Sloan-Aagard
- Paso del Norte Health Information Exchange, El Paso, Texas
- Department of Public Health, Brigham Young University, Provo, Utah
| | - Palak Patel
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Anne-Catrin Uhlemann
- Department of Internal Medicine, Division of Infectious Disease, Columbia University Irving Medical Center, New York, New York
| | | | - William F. Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- Fairbanks School of Public Health, Indiana University, Indianapolis
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland
| | - Michelle A. Barron
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | | | - Juan Nanez
- Paso del Norte Health Information Exchange, El Paso, Texas
| | - Eric P. Griggs
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Medini K. Annavajhala
- Department of Internal Medicine, Division of Infectious Disease, Columbia University Irving Medical Center, New York, New York
| | | | - Nimish R. Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland
| | | | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | | | - Peter J. Embí
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- Vanderbilt University Medical Center, Nashville, Tennessee
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland
| | | | - Mark W. Tenforde
- Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta, Georgia
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45
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Ellingson KD, Hollister J, Porter CJ, Khan SM, Feldstein LR, Naleway AL, Gaglani M, Caban-Martinez AJ, Tyner HL, Lowe AA, Olsho LEW, Meece J, Yoon SK, Mak J, Kuntz JL, Solle NS, Respet K, Baccam Z, Wesley MG, Thiese MS, Yoo YM, Odean MJ, Miiro FN, Pickett SL, Phillips AL, Grant L, Romine JK, Herring MK, Hegmann KT, Lamberte JM, Sokol B, Jovel KS, Thompson MG, Rivers P, Pilishvili T, Lutrick K, Burgess JL, Midgley CM, Fowlkes AL. Risk Factors for Reinfection with SARS-CoV-2 Omicron Variant among Previously Infected Frontline Workers. Emerg Infect Dis 2023; 29:599-604. [PMID: 36703252 PMCID: PMC9973698 DOI: 10.3201/eid2903.221314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
In a cohort of essential workers in the United States previously infected with SARS-CoV-2, risk factors for reinfection included being unvaccinated, infrequent mask use, time since first infection, and being non-Hispanic Black. Protecting workers from reinfection requires a multipronged approach including up-to-date vaccination, mask use as recommended, and reduction in underlying health disparities.
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46
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Bozio CH, Butterfield KA, Briggs Hagen M, Grannis S, Drawz P, Hartmann E, Ong TC, Fireman B, Natarajan K, Dascomb K, Gaglani M, DeSilva MB, Yang DH, Midgley CM, Dixon BE, Naleway AL, Grisel N, Liao IC, Reese SE, Fadel WF, Irving SA, Lewis N, Arndorfer J, Murthy K, Riddles J, Valvi NR, Mamawala M, Embi PJ, Thompson MG, Stenehjem E. Protection from COVID-19 mRNA vaccination and prior SARS-CoV-2 infection against COVID-19-associated encounters in adults during Delta and Omicron predominance. J Infect Dis 2023:7045997. [PMID: 36806690 DOI: 10.1093/infdis/jiad040] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 09/21/2022] [Revised: 01/27/2023] [Accepted: 02/10/2023] [Indexed: 02/20/2023] Open
Abstract
BACKGROUND Data assessing protection conferred from COVID-19 mRNA vaccination and/or prior SARS-CoV-2 infection during Delta and Omicron predominance periods in the U.S. are limited. METHODS This cohort study included persons ≥18 years who had ≥1 healthcare encounter across four health systems and had been tested for SARS-CoV-2 before August 26, 2021. COVID-19 mRNA vaccination and prior SARS-CoV-2 infection defined the exposure. Cox regression estimated hazard ratios (HRs) for the Delta and Omicron periods; protection was calculated as (1-HR)x100%. RESULTS Compared to unvaccinated and previously uninfected persons, during Delta predominance, protection against COVID-19-associated hospitalizations was high for those 2- or 3-dose vaccinated and previously infected, 3-dose vaccinated alone, and prior infection alone (range:91%-97%, with overlapping 95% confidence intervals (95%CIs)); during Omicron predominance, estimates were lower (range:77%-90%). Protection against COVID-19-associated emergency department/urgent care (ED/UC) encounters during Delta predominance was high for those exposure groups (range:86%-93%); during Omicron predominance, protection remained high for those 3-dose vaccinated with or without a prior infection (76% (95%CI=67%-83%) and 71% (95%CI=67%-73%), respectively). CONCLUSIONS COVID-19 mRNA vaccination and/or prior SARS-CoV-2 infection provided protection against COVID-19-associated hospitalizations and ED/UC encounters regardless of variant. Staying up-to-date with COVID-19 vaccination still provides protection against severe COVID-19 disease, regardless of prior infection.
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Affiliation(s)
- Catherine H Bozio
- Centers for Disease Control and Prevention COVID-19 Emergency Response Team, Atlanta, Georgia, USA
| | | | - Melissa Briggs Hagen
- Centers for Disease Control and Prevention COVID-19 Emergency Response Team, Atlanta, Georgia, USA
| | - Shaun Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA.,Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Paul Drawz
- Division of Nephrology & Hypertension, University of Minnesota, Minneapolis, Minnesota, USA
| | - Emily Hartmann
- Paso Del Norte Health Information Exchange, El Paso, Texas, USA
| | - Toan C Ong
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA.,New York Presbyterian Hospital, New York, New York, USA
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA.,Texas A&M University College of Medicine, Temple, Texas
| | | | | | - Claire M Midgley
- Centers for Disease Control and Prevention COVID-19 Emergency Response Team, Atlanta, Georgia, USA
| | - Brian E Dixon
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA.,Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Allison L Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - I-Chia Liao
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | | | - William F Fadel
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA.,Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Stephanie A Irving
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Kempapura Murthy
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | | | - Nimish R Valvi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
| | - Mufaddal Mamawala
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Peter J Embi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA.,Regenstrief Institute, Indianapolis, Indiana, USA
| | - Mark G Thompson
- Centers for Disease Control and Prevention COVID-19 Emergency Response Team, Atlanta, Georgia, USA
| | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
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47
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Tenforde MW, Self WH, Zhu Y, Naioti EA, Gaglani M, Ginde AA, Jensen K, Talbot HK, Casey JD, Mohr NM, Zepeski A, McNeal T, Ghamande S, Gibbs KW, Files DC, Hager DN, Shehu A, Prekker ME, Erickson HL, Gong MN, Mohamed A, Johnson NJ, Srinivasan V, Steingrub JS, Peltan ID, Brown SM, Martin ET, Monto AS, Khan A, Hough CL, Busse LW, Lohuis CT, Duggal A, Wilson JG, Qadir N, Chang SY, Mallow C, Rivas C, Babcock HM, Kwon JH, Exline MC, Botros MM, Lauring AS, Shapiro NI, Halasa N, Chappell JD, Grijalva CG, Rice TW, Jones ID, Stubblefield WB, Baughman A, Womack KN, Rhoads JP, Lindsell CJ, Hart KW, Turbyfill C, Olson S, Murray N, Adams K, Patel MM. Protection of Messenger RNA Vaccines Against Hospitalized Coronavirus Disease 2019 in Adults Over the First Year Following Authorization in the United States. Clin Infect Dis 2023; 76:e460-e468. [PMID: 35580849 PMCID: PMC9129194 DOI: 10.1093/cid/ciac381] [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] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/29/2022] [Accepted: 05/12/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) messenger RNA (mRNA) vaccines were authorized in the United States in December 2020. Although vaccine effectiveness (VE) against mild infection declines markedly after several months, limited understanding exists on the long-term durability of protection against COVID-19-associated hospitalization. METHODS Case-control analysis of adults (≥18 years) hospitalized at 21 hospitals in 18 states 11 March-15 December 2021, including COVID-19 case patients and reverse transcriptase-polymerase chain reaction-negative controls. We included adults who were unvaccinated or vaccinated with 2 doses of a mRNA vaccine before the date of illness onset. VE over time was assessed using logistic regression comparing odds of vaccination in cases versus controls, adjusting for confounders. Models included dichotomous time (<180 vs ≥180 days since dose 2) and continuous time modeled using restricted cubic splines. RESULTS A total of 10 078 patients were included, 4906 cases (23% vaccinated) and 5172 controls (62% vaccinated). Median age was 60 years (interquartile range, 46-70), 56% were non-Hispanic White, and 81% had ≥1 medical condition. Among immunocompetent adults, VE <180 days was 90% (95% confidence interval [CI], 88-91) versus 82% (95% CI, 79-85) at ≥180 days (P < .001). VE declined for Pfizer-BioNTech (88% to 79%, P < .001) and Moderna (93% to 87%, P < .001) products, for younger adults (18-64 years) (91% to 87%, P = .005), and for adults ≥65 years of age (87% to 78%, P < .001). In models using restricted cubic splines, similar changes were observed. CONCLUSIONS In a period largely predating Omicron variant circulation, effectiveness of 2 mRNA doses against COVID-19-associated hospitalization was largely sustained through 9 months.
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Affiliation(s)
| | - Wesley H Self
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas, USA.,Texas A&M University College of Medicine, Temple, Texas, USA
| | - Adit A Ginde
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kelly Jensen
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | | | - Tresa McNeal
- Baylor Scott & White Health, Temple, Texas, USA.,Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott & White Health, Temple, Texas, USA.,Texas A&M University College of Medicine, Temple, Texas, USA
| | - Kevin W Gibbs
- Wake Forest University Baptist Medical Center, Winston-Salem, North Carolina, USA
| | - D Clark Files
- Wake Forest University Baptist Medical Center, Winston-Salem, North Carolina, USA
| | | | - Arber Shehu
- Johns Hopkins Hospital, Baltimore, Maryland, USA
| | | | | | - Michelle N Gong
- Montefiore Healthcare Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Amira Mohamed
- Montefiore Healthcare Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | | | | | - Ithan D Peltan
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
| | - Samuel M Brown
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Akram Khan
- Oregon Health & Science University Hospital, Portland, Oregon, USA
| | | | | | | | | | | | - Nida Qadir
- Ronald Reagan-UCLA Medical Center, Los Angeles, California, USA
| | - Steven Y Chang
- Ronald Reagan-UCLA Medical Center, Los Angeles, California, USA
| | | | | | | | | | - Matthew C Exline
- Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Mena M Botros
- Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Adam S Lauring
- University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Nathan I Shapiro
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Natasha Halasa
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Todd W Rice
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ian D Jones
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Kelsey N Womack
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Kimberly W Hart
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Nancy Murray
- CDC COVID-19 Response Team, Atlanta, Georgia, USA
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48
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Shafer L, Ahmed F, Kim S, Wernli KJ, Jackson ML, Nowalk MP, Bear T, Zimmerman RK, Martin ET, Monto AS, Gaglani M, Reis M, Chung JR, Flannery B, Uzicanin A. Relationship between Telework Experience and Presenteeism during COVID-19 Pandemic, United States, March-November 2020. Emerg Infect Dis 2023; 29:278-285. [PMID: 36599411 PMCID: PMC9881775 DOI: 10.3201/eid2902.221014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Persons with COVID-19-like illnesses are advised to stay home to reduce the spread of SARS-CoV-2. We assessed relationships between telework experience and COVID-19 illness with work attendance when ill. Adults experiencing fever, cough, or loss of taste or smell who sought healthcare or COVID-19 testing in the United States during March-November 2020 were enrolled. Adults with telework experience before illness were more likely to work at all (onsite or remotely) during illness (87.8%) than those with no telework experience (49.9%) (adjusted odds ratio 5.48, 95% CI 3.40-8.83). COVID-19 case-patients were less likely to work onsite (22.1%) than were persons with other acute respiratory illnesses (37.3%) (adjusted odds ratio 0.36, 95% CI 0.24-0.53). Among COVID-19 case-patients with telework experience, only 6.5% worked onsite during illness. Telework experience before illness gave mildly ill workers the option to work and improved compliance with public health recommendations to stay home during illness.
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49
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Tartof SY, Xie F, Yadav R, Wernli KJ, Martin ET, Belongia EA, Gaglani M, Zimmerman RK, Talbot HK, Thornburg N, Flannery B. Prior SARS-CoV-2 Infection and COVID-19 Vaccine Effectiveness against Outpatient Illness during Widespread Circulation of SARS-CoV-2 Omicron Variant, US Flu VE Network. medRxiv 2023:2023.01.10.23284397. [PMID: 36711929 PMCID: PMC9882409 DOI: 10.1101/2023.01.10.23284397] [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] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Background We estimated combined protection conferred by prior SARS-CoV-2 infection and COVID-19 vaccination against COVID-19-associated acute respiratory illness (ARI). Methods During SARS-CoV-2 Delta (B.1.617.2) and Omicron (B.1.1.529) variant circulation between October 2021 and April 2022, prospectively enrolled adult patients with outpatient ARI had respiratory and filter paper blood specimens collected for SARS-CoV-2 molecular testing and serology. Dried blood spots were tested for immunoglobulin-G antibodies against SARS-CoV-2 nucleocapsid (NP) and spike protein receptor binding domain antigen using a validated multiplex bead assay. Evidence of prior SARS-CoV-2 infection also included documented or self-reported laboratory-confirmed COVID-19. We used documented COVID-19 vaccination status to estimate vaccine effectiveness (VE) by multivariable logistic regression by prior infection status. Results 455 (29%) of 1577 participants tested positive for SARS-CoV-2 infection at enrollment; 209 (46%) case-patients and 637 (57%) test-negative patients were NP seropositive, had documented previous laboratory-confirmed COVID-19, or self-reported prior infection. Among previously uninfected patients, three-dose VE was 97% (95% confidence interval [CI], 60%- 99%) against Delta, but not statistically significant against Omicron. Among previously infected patients, three-dose VE was 57% (CI, 20%-76%) against Omicron; VE against Delta could not be estimated. Conclusions Three mRNA COVID-19 vaccine doses provided additional protection against SARS-CoV-2 Omicron variant-associated illness among previously infected participants.
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Affiliation(s)
- Sara Y. Tartof
- Kaiser Permanente Southern California, Department of Research & Evaluation,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA USA
| | - Fagen Xie
- Kaiser Permanente Southern California, Department of Research & Evaluation
| | - Ruchi Yadav
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Karen J. Wernli
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA USA,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Emily T. Martin
- University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA,Texas A&M University College of Medicine, Temple, TX, USA
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50
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Lewis NM, Murray N, Adams K, Surie D, Gaglani M, Ginde AA, McNeal T, Ghamande S, Douin DJ, Talbot HK, Casey JD, Mohr NM, Zepeski A, Shapiro NI, Gibbs KW, Files DC, Hager DN, Ali H, Prekker ME, Frosch AE, Exline MC, Gong MN, Mohamed A, Johnson NJ, Srinivasan V, Steingrub JS, Peltan ID, Brown SM, Martin ET, Monto AS, Lauring AS, Khan A, Hough CL, Busse LW, Bender W, Duggal A, Wilson JG, Gordon AJ, Qadir N, Chang SY, Mallow C, Rivas C, Babcock HM, Kwon JH, Chappell JD, Halasa N, Grijalva CG, Rice TW, Stubblefield WB, Baughman A, Lindsell CJ, Hart KW, Rhoads JP, McMorrow ML, Tenforde MW, Self WH, Patel MM. Absolute and Relative Vaccine Effectiveness of Primary and Booster Series of COVID-19 Vaccines (mRNA and Adenovirus Vector) Against COVID-19 Hospitalizations in the United States, December 2021-April 2022. Open Forum Infect Dis 2023; 10:ofac698. [PMID: 36695662 PMCID: PMC9868348 DOI: 10.1093/ofid/ofac698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/29/2022] [Indexed: 01/01/2023] Open
Abstract
Background Coronavirus disease 2019 (COVID-19) vaccine effectiveness (VE) studies are increasingly reporting relative VE (rVE) comparing a primary series plus booster doses with a primary series only. Interpretation of rVE differs from traditional studies measuring absolute VE (aVE) of a vaccine regimen against an unvaccinated referent group. We estimated aVE and rVE against COVID-19 hospitalization in primary-series plus first-booster recipients of COVID-19 vaccines. Methods Booster-eligible immunocompetent adults hospitalized at 21 medical centers in the United States during December 25, 2021-April 4, 2022 were included. In a test-negative design, logistic regression with case status as the outcome and completion of primary vaccine series or primary series plus 1 booster dose as the predictors, adjusted for potential confounders, were used to estimate aVE and rVE. Results A total of 2060 patients were analyzed, including 1104 COVID-19 cases and 956 controls. Relative VE against COVID-19 hospitalization in boosted mRNA vaccine recipients versus primary series only was 66% (95% confidence interval [CI], 55%-74%); aVE was 81% (95% CI, 75%-86%) for boosted versus 46% (95% CI, 30%-58%) for primary. For boosted Janssen vaccine recipients versus primary series, rVE was 49% (95% CI, -9% to 76%); aVE was 62% (95% CI, 33%-79%) for boosted versus 36% (95% CI, -4% to 60%) for primary. Conclusions Vaccine booster doses increased protection against COVID-19 hospitalization compared with a primary series. Comparing rVE measures across studies can lead to flawed interpretations of the added value of a new vaccination regimen, whereas difference in aVE, when available, may be a more useful metric.
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Affiliation(s)
| | - Nancy Murray
- CDC COVID-19 Response Team, Atlanta, Georgia, USA
| | | | - Diya Surie
- CDC COVID-19 Response Team, Atlanta, Georgia, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Tresa McNeal
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - David J Douin
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Anne Zepeski
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - D Clark Files
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Harith Ali
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Matthew E Prekker
- Department of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Anne E Frosch
- Department of Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Vasisht Srinivasan
- Department of Emergency Medicine, University of Washington, Seattle, Washington, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Arnold S Monto
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Catherine L Hough
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | | | - William Bender
- Department of Medicine, Emory University, Atlanta, Georgia, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Alexandra June Gordon
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | | | - Carolina Rivas
- Department of Medicine, University of Miami, Miami, Florida, USA
| | - Hilary M Babcock
- Department of Medicine, Washington University, St. Louis, Missouri, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St. Louis, Missouri, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Todd W Rice
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William B Stubblefield
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christopher J Lindsell
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jillian P Rhoads
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Wesley H Self
- Department of Emergency Medicine and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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