1
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Milkman KL, Ellis SF, Gromet DM, Jung Y, Luscher AS, Mobarak RS, Paxson MK, Silvera Zumaran RA, Kuan R, Berman R, Lewis NA, List JA, Patel MS, Van den Bulte C, Volpp KG, Beauvais MV, Bellows JK, Marandola CA, Duckworth AL. Megastudy shows that reminders boost vaccination but adding free rides does not. Nature 2024; 631:179-188. [PMID: 38926578 PMCID: PMC11222156 DOI: 10.1038/s41586-024-07591-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 05/20/2024] [Indexed: 06/28/2024]
Abstract
Encouraging routine COVID-19 vaccinations is likely to be a crucial policy challenge for decades to come. To avert hundreds of thousands of unnecessary hospitalizations and deaths, adoption will need to be higher than it was in the autumn of 2022 or 2023, when less than one-fifth of Americans received booster vaccines1,2. One approach to encouraging vaccination is to eliminate the friction of transportation hurdles. Previous research has shown that friction can hinder follow-through3 and that individuals who live farther from COVID-19 vaccination sites are less likely to get vaccinated4. However, the value of providing free round-trip transportation to vaccination sites is unknown. Here we show that offering people free round-trip Lyft rides to pharmacies has no benefit over and above sending them behaviourally informed text messages reminding them to get vaccinated. We determined this by running a megastudy with millions of CVS Pharmacy patients in the United States testing the effects of (1) free round-trip Lyft rides to CVS Pharmacies for vaccination appointments and (2) seven different sets of behaviourally informed vaccine reminder messages. Our results suggest that offering previously vaccinated individuals free rides to vaccination sites is not a good investment in the United States, contrary to the high expectations of both expert and lay forecasters. Instead, people in the United States should be sent behaviourally informed COVID-19 vaccination reminders, which increased the 30-day COVID-19 booster uptake by 21% (1.05 percentage points) and spilled over to increase 30-day influenza vaccinations by 8% (0.34 percentage points) in our megastudy. More rigorous testing of interventions to promote vaccination is needed to ensure that evidence-based solutions are deployed widely and that ineffective but intuitively appealing tools are discontinued.
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Affiliation(s)
- Katherine L Milkman
- Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
| | - Sean F Ellis
- Behavior Change for Good Initiative, The Wharton School and the School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Dena M Gromet
- Behavior Change for Good Initiative, The Wharton School and the School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Youngwoo Jung
- Behavior Change for Good Initiative, The Wharton School and the School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Alex S Luscher
- Behavior Change for Good Initiative, The Wharton School and the School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Rayyan S Mobarak
- Department of Agricultural and Resource Economics, University of Maryland, College Park, MD, USA
| | - Madeline K Paxson
- Behavior Change for Good Initiative, The Wharton School and the School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Ramon A Silvera Zumaran
- Behavior Change for Good Initiative, The Wharton School and the School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert Kuan
- Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Ron Berman
- Department of Marketing, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Neil A Lewis
- Department of Communication, Cornell University, Ithaca, NY, USA
| | - John A List
- Department of Economics, University of Chicago, Chicago, IL, USA
| | - Mitesh S Patel
- Clinical Transformation and Behavioral Insights, Ascension Health, St Louis, MO, USA
| | | | - Kevin G Volpp
- Penn Center for Health Incentives and Behavioral Economics, Departments of Medical Ethics and Health Policy and Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | - Angela L Duckworth
- Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
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2
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Tippett A, Ess G, Hussaini L, Reese O, Salazar L, Kelly M, Taylor M, Ciric C, Keane A, Cheng A, Gibson T, Li W, Hsiao HM, Bristow L, Hellmeister K, Al-Husein Z, Hubler R, Begier E, Liu Q, Gessner B, Swerdlow DL, Kamidani S, Kao C, Yildirim I, Rouphael N, Rostad CA, Anderson EJ. Influenza Vaccine Effectiveness Pre-pandemic Among Adults Hospitalized With Congestive Heart Failure or Chronic Obstructive Pulmonary Disease and Older Adults. Clin Infect Dis 2024; 78:1065-1072. [PMID: 37946601 DOI: 10.1093/cid/ciad679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/30/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Data are limited on influenza vaccine effectiveness (VE) in the prevention of influenza-related hospitalizations in older adults and those with underlying high-risk comorbidities. METHODS We conducted a prospective, test-negative, case-control study at 2 US hospitals from October 2018-March 2020 among adults aged ≥50 years hospitalized with acute respiratory illnesses (ARIs) and adults ≥18 years admitted with congestive heart failure (CHF) or chronic obstructive pulmonary disease (COPD) exacerbations. Adults were eligible if they resided in 1 of 8 counties in metropolitan Atlanta, Georgia. Nasopharyngeal and oropharyngeal swabs were tested using BioFire FilmArray (bioMérieux, Inc.) respiratory panel, and standard-of-care molecular results were included when available. Influenza vaccination history was determined from the Georgia vaccine registry and medical records. We used multivariable logistic regression to control for potential confounders and to determine 95% confidence intervals (CIs). RESULTS Among 3090 eligible adults, 1562 (50.6%) were enrolled. Of the 1515 with influenza vaccination history available, 701 (46.2%) had received vaccination during that season. Influenza was identified in 37 (5.3%) vaccinated versus 78 (9.6%) unvaccinated participants. After adjustment for age, race/ethnicity, immunosuppression, month, and season, pooled VE for any influenza-related hospitalization in the eligible study population was 63.1% (95% CI, 43.8-75.8%). Adjusted VE against influenza-related hospitalization for ARI in adults ≥50 years was 55.9% (29.9-72.3%) and adjusted VE against influenza-related CHF/COPD exacerbation in adults ≥18 years was 80.3% (36.3-93.9%). CONCLUSIONS Influenza vaccination was effective in preventing influenza-related hospitalizations in adults aged ≥50 years and those with CHF/COPD exacerbations during the 2018-2020 seasons.
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Affiliation(s)
- Ashley Tippett
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Gabby Ess
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Laila Hussaini
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Olivia Reese
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Luis Salazar
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Mary Kelly
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Meg Taylor
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Caroline Ciric
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Amy Keane
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Andrew Cheng
- Department of Medicine, Hope Clinic, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Theda Gibson
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Wensheng Li
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Hui-Mien Hsiao
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Laurel Bristow
- Department of Medicine, Hope Clinic, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Kieffer Hellmeister
- Department of Medicine, Hope Clinic, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Zayna Al-Husein
- Department of Medicine, Hope Clinic, Emory University School of Medicine, Atlanta, Georgia, USA
| | | | | | - Qing Liu
- Pfizer, Inc,New York, New York, USA
| | | | | | - Satoshi Kamidani
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
- Center for Childhood Infections and Vaccines, Children's Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Carol Kao
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
- Center for Childhood Infections and Vaccines, Children's Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Inci Yildirim
- Department of Pediatrics (Infectious Diseases), Yale-New Haven Hospital, New Haven, Connecticut, USA
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Yale School of Public Health, Yale Institute for Global Health, New Haven, Connecticut, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, Connecticut, USA
| | - Nadine Rouphael
- Department of Medicine, Hope Clinic, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Christina A Rostad
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
- Center for Childhood Infections and Vaccines, Children's Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Evan J Anderson
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
- Center for Childhood Infections and Vaccines, Children's Healthcare of Atlanta, Atlanta, Georgia, USA
- Department of Medicine, Hope Clinic, Emory University School of Medicine, Atlanta, Georgia, USA
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3
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Ahmed WS, Halboup AM, Alshargabi A, Al-Mohamadi A, Al-Ashbat YK, Al-Jamei S. Attitudes, motivators, and barriers toward influenza vaccination for children: a study from a conflict-ridden country. Confl Health 2024; 18:26. [PMID: 38566200 PMCID: PMC10988905 DOI: 10.1186/s13031-024-00590-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 03/27/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Despite the increased recommendations for influenza vaccination, particularly among high-risk groups such as young children, Yemen lacks an influenza vaccination program, and the influenza vaccine is not included in the national immunization regime. This is exacerbated by the country's fragile infrastructure, as well as the devastating consequences of the ongoing conflict, which include child undernutrition and strained healthcare resources. Thus, the objective of the current study is to assess the public attitudes and perceptions toward vaccinating children against influenza in Yemen. METHODS A cross-sectional study was conducted by distributing a validated survey questionnaire to potential participants using convenience sampling. Descriptive statistics were used to summarize sociodemographic data, knowledge of influenza vaccines, and attitudes and perceptions regarding vaccinating children against influenza. Logistic regression analysis was employed to identify associations between independent variables and the acceptance of vaccines for children. RESULTS A total of 853 eligible individuals, parents and non-parents, successfully completed the survey. The uptake of the influenza vaccine among the participants was notably low as the majority (69.2%) had not previously received the vaccine, although the majority expressed a willingness to get vaccinated in the future (59.4%). The majority (68.5%) were willing to vaccinate children. The largest percentage of the participants who expressed hesitancy toward children's vaccination cited multiple reasons to reject the vaccine (39.7%), with concerns regarding the safety of the vaccine being the predominant barrier to its acceptance for children (29.6%). On the other hand, motivating factors for vaccinating children included the validation of the vaccine's safety and efficacy, endorsement of the vaccine by the government and physicians, integration of the vaccine into the national immunization program, and the provision of the vaccine free of charge and through schools. Significant predictors for vaccine acceptance in children included male gender, knowledge of the protective effect of the influenza vaccine, previous receipt of the vaccine, and a willingness to receive the vaccine in the future. CONCLUSIONS The study highlights the need for educational health campaigns to raise awareness and remove misconceptions regarding influenza and the role, benefits, and availability of its vaccine. These findings can serve as a robust foundation for the future design and implementation of an influenza vaccination program for children in Yemen.
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Affiliation(s)
- Wesam S Ahmed
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Abdulsalam M Halboup
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, University of Science and Technology, Sana'a, Yemen
- Department of Clinical Pharmacy, School of Pharmaceutical Sciences, University Sains Malaysia, Penang, Malaysia
| | - Arwa Alshargabi
- Pharmacy Department, Faculty of Medical Sciences, Saba University, Sana'a, Yemen
| | - Ahmed Al-Mohamadi
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, University of Science and Technology, Sana'a, Yemen
| | - Yousf K Al-Ashbat
- Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Al-Razi University, Sana'a, Yemen
| | - Sayida Al-Jamei
- Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Al-Razi University, Sana'a, Yemen.
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4
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Servadio JL, Choisy M, Thai PQ, Boni MF. Influenza vaccination allocation in tropical settings under constrained resources. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.08.24302551. [PMID: 38370625 PMCID: PMC10871372 DOI: 10.1101/2024.02.08.24302551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Influenza virus seasonality, synchronicity, and vaccine supply differ substantially between temperate and tropical settings, and optimal vaccination strategy may differ on this basis. Most national vaccine recommendations focus on high-risk groups, elderly populations, and healthcare workers despite previous analyses demonstrating broad benefits to vaccinating younger high-contact age groups. Here, we parameterized an age-structured non-seasonal asynchronous epidemiological model of influenza virus transmission for a tropical low-income setting. We evaluated timing and age allocation of vaccines across vaccine supplies ranging from 10% to 90% using decade-based age groups. Year-round vaccination was beneficial when comparing to vaccination strategies focused on a particular time of year. When targeting a single age-group for vaccine prioritization, maximum vaccine allocation to the 10-19 high-contact age group minimized annual influenza mortality for all but one vaccine supply. When evaluating across all possible age allocations, optimal strategies always allocated a plurality of vaccines to school-age children (10-19). The converse however was not true as not all strategies allocating a plurality to children aged 10-19 minimized mortality. Allocating a high proportion of vaccine supply to the 10-19 age group is necessary but not sufficient to minimize annual mortality as distribution of remaining vaccine doses to other age groups also needs to be optimized. Strategies focusing on indirect benefits (vaccinating children) showed higher variance in mortality outcomes than strategies focusing on direct benefits (vaccinating the elderly). However, the indirect benefit approaches showed lower mean mortality and lower minimum mortality than vaccination focused on the elderly.
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Affiliation(s)
- Joseph L Servadio
- Center for Infectious Disease Dynamics and Department of Biology, Pennsylvania State University, University Park, PA, United States
- Department of Biology, Temple University, Philadelphia, PA, United States
| | - Marc Choisy
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Pham Quang Thai
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
- School of Preventative Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Maciej F Boni
- Center for Infectious Disease Dynamics and Department of Biology, Pennsylvania State University, University Park, PA, United States
- Department of Biology, Temple University, Philadelphia, PA, United States
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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5
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Haghpanah F, Hamilton A, Klein E. Modeling the potential health impacts of delayed strain selection on influenza hospitalization and mortality with mRNA vaccines. Vaccine X 2023; 14:100287. [PMID: 37063306 PMCID: PMC10090206 DOI: 10.1016/j.jvacx.2023.100287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 03/21/2023] [Accepted: 03/22/2023] [Indexed: 03/29/2023] Open
Abstract
Background Influenza viruses are constantly evolving through antigenic drift, which makes vaccines potentially ill-matched to circulating strains due to the time between strain selection and distribution. mRNA technology could improve vaccine effectiveness (VE) by reducing this time. Significant private and public investments would be required to accommodate accelerated vaccine development and approval. Hence, it is important to understand the potential impact of mRNA technology on influenza hospitalizations and mortality. Methods We developed an age-stratified dynamic model of influenza transmission to evaluate the potential impact of increased VE (increased protection against either infection or only hospitalization) on hospitalizations and mortality in the United States. We assume that mRNA technology allows for delaying the time to strain choice, which might increase efficacy, but it does not reduce the time needed for distribution and administration, which might reduce availability. To assess this tradeoff, we evaluated two scenarios where strain choice was delayed until late summer resulting in a more effective vaccine available to (1) all age groups by October, or (2) adults 65 years and older starting in August. Results If not available until October, the vaccine would need a minimum of 95% effectiveness against infection to see a decrease in hospitalizations and deaths in all age groups. When delayed until November, even a 100% effective vaccine had no significant impact. For the elderly, the minimum required VE (against infection) was 50% to reduce hospitalizations and deaths. Moreover, a vaccine with 80% VE against infection available in August for the 65 + age group was better than a 95% effective vaccine available in October for all ages. Conclusions As the majority of influenza-associated hospitalizations and deaths are in adults 65 years and older, a combination policy targeting higher VE and coverage for this age group in the short term would be the most efficacious.
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Affiliation(s)
| | | | - Eili Klein
- One Health Trust, Washington, D.C., USA
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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6
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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: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [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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7
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Andrew MK, Pott H, Staadegaard L, Paget J, Chaves SS, Ortiz JR, McCauley J, Bresee J, Nunes MC, Baumeister E, Raboni SM, Giamberardino HIG, McNeil SA, Gomez D, Zhang T, Vanhems P, Koul PA, Coulibaly D, Otieno NA, Dbaibo G, Almeida MLG, Laguna-Torres VA, Drăgănescu AC, Burtseva E, Sominina A, Danilenko D, Medić S, Diez-Domingo J, Lina B. Age Differences in Comorbidities, Presenting Symptoms, and Outcomes of Influenza Illness Requiring Hospitalization: A Worldwide Perspective From the Global Influenza Hospital Surveillance Network. Open Forum Infect Dis 2023; 10:ofad244. [PMID: 37383245 PMCID: PMC10296081 DOI: 10.1093/ofid/ofad244] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/26/2023] [Indexed: 06/30/2023] Open
Abstract
Background The Global Influenza Hospital Surveillance Network (GIHSN) was established in 2012 to conduct coordinated worldwide influenza surveillance. In this study, we describe underlying comorbidities, symptoms, and outcomes in patients hospitalized with influenza. Methods Between November 2018 and October 2019, GIHSN included 19 sites in 18 countries using a standardized surveillance protocol. Influenza infection was laboratory-confirmed with reverse-transcription polymerase chain reaction. A multivariate logistic regression model was utilized to analyze the extent to which various risk factors predict severe outcomes. Results Of 16 022 enrolled patients, 21.9% had laboratory-confirmed influenza; 49.2% of influenza cases were A/H1N1pdm09. Fever and cough were the most common symptoms, although they decreased with age (P < .001). Shortness of breath was uncommon among those <50 years but increased with age (P < .001). Middle and older age and history of underlying diabetes or chronic obstructive pulmonary disease were associated with increased odds of death and intensive care unit (ICU) admission, and male sex and influenza vaccination were associated with lower odds. The ICU admissions and mortality occurred across the age spectrum. Conclusions Both virus and host factors contributed to influenza burden. We identified age differences in comorbidities, presenting symptoms, and adverse clinical outcomes among those hospitalized with influenza and benefit from influenza vaccination in protecting against adverse clinical outcomes. The GIHSN provides an ongoing platform for global understanding of hospitalized influenza illness.
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Affiliation(s)
- Melissa K Andrew
- Correspondence: Melissa K. Andrew, MD, PhD, Department of Medicine (Geriatrics), Dalhousie University, 5955 Veterans Memorial Lane, Halifax, NS B3H 2E1, Canada (); Bruno Lina, Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, 103 Grande Rue de la Croix-Rousse, Lyon, 69317 CEDEX 04, France ()
| | - Henrique Pott
- Dalhousie University and Canadian Center for Vaccinology, Halifax, Canada
- Department of Medicine, Universidade Federal de São Carlos, São Carlos, Brazil
| | - Lisa Staadegaard
- Netherlands Institute for Health Care Research (Nivel), Utrecht, Netherlands
| | - John Paget
- Netherlands Institute for Health Care Research (Nivel), Utrecht, Netherlands
| | - Sandra S Chaves
- Foundation for Influenza Epidemiology, Fondation de France, Paris, France
| | - Justin R Ortiz
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - John McCauley
- WHO Collaborating Centre for Reference and Research on Influenza, Crick Institute, London, United Kingdom
| | - Joseph Bresee
- Centre for Vaccine Equity, Task Force for Global Health, Atlanta, Georgia, USA
| | - Marta C Nunes
- South African Medical Research Council, Vaccines & Infectious Diseases Analytics (VIDA) Research Unit, and Department of Science and Technology/National Research Foundation, South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences University of the Witwatersrand, Johannesburg, South Africa
| | - Elsa Baumeister
- National Reference Laboratory for Viral Respiratory Diseases, Virology Department, INEI-ANLIS, Buenos Aires, Argentina
| | - Sonia Mara Raboni
- Molecular Biology/Microbiology Research Laboratory, Universidade Federal do Paraná, Curitiba, Brazil
| | - Heloisa I G Giamberardino
- Epidemiology, Immunization and Infection Control Department—Hospital Pequeno Principe, Curitiba, Paraná, Brazil
| | - Shelly A McNeil
- Dalhousie University and Canadian Center for Vaccinology, Halifax, Canada
| | - Doris Gomez
- Grupo de Investigación UNIMOL, Facultad de Medicina, Universidad de Cartagena, Cartagena de Indias, Colombia
| | - Tao Zhang
- School of Public Health, Fudan University, Shanghai, China
| | | | | | - Daouda Coulibaly
- Institut National d'Hygiène Publique (INHP), Abidjan, Côte d’Ivoire
| | - Nancy A Otieno
- Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Ghassan Dbaibo
- Center for Infectious Diseases Research, American University of Beirut, Beirut, Lebanon
| | | | | | | | - Elena Burtseva
- FSBI “N.F. Gamaleya NRCEM” Ministry of Health of the Russian Federation (Federal Research Budgetary Institute “National Research Center of Epidemiology and Microbiology named after honorary academician N.F. Gamaleya), Moscow, Russia
| | - Anna Sominina
- Smorodintsev Research Institute of Influenza, St. Petersburg, Russia
| | - Daria Danilenko
- Smorodintsev Research Institute of Influenza, St. Petersburg, Russia
| | - Snežana Medić
- Institute of Public Health of Vojvodina, Novi Sad, Serbia
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | | | - Bruno Lina
- Correspondence: Melissa K. Andrew, MD, PhD, Department of Medicine (Geriatrics), Dalhousie University, 5955 Veterans Memorial Lane, Halifax, NS B3H 2E1, Canada (); Bruno Lina, Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, 103 Grande Rue de la Croix-Rousse, Lyon, 69317 CEDEX 04, France ()
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8
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Leis AM, McSpadden E, Segaloff HE, Lauring AS, Cheng C, Petrie JG, Lamerato LE, Patel M, Flannery B, Ferdinands J, Karvonen‐Gutierrez CA, Monto A, Martin ET. K-medoids clustering of hospital admission characteristics to classify severity of influenza virus infection. Influenza Other Respir Viruses 2023; 17:e13120. [PMID: 36909298 PMCID: PMC9992770 DOI: 10.1111/irv.13120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/10/2023] [Accepted: 02/14/2023] [Indexed: 03/11/2023] Open
Abstract
Background Patients are admitted to the hospital for respiratory illness at different stages of their disease course. It is important to appropriately analyse this heterogeneity in surveillance data to accurately measure disease severity among those hospitalized. The purpose of this study was to determine if unique baseline clusters of influenza patients exist and to examine the association between cluster membership and in-hospital outcomes. Methods Patients hospitalized with influenza at two hospitals in Southeast Michigan during the 2017/2018 (n = 242) and 2018/2019 (n = 115) influenza seasons were included. Physiologic and laboratory variables were collected for the first 24 h of the hospital stay. K-medoids clustering was used to determine groups of individuals based on these values. Multivariable linear regression or Firth's logistic regression were used to examine the association between cluster membership and clinical outcomes. Results Three clusters were selected for 2017/2018, mainly differentiated by blood glucose level. After adjustment, those in C171 had 5.6 times the odds of mechanical ventilator use than those in C172 (95% CI: 1.49, 21.1) and a significantly longer mean hospital length of stay than those in both C172 (mean 1.5 days longer, 95% CI: 0.2, 2.7) and C173 (mean 1.4 days longer, 95% CI: 0.3, 2.5). Similar results were seen between the two clusters selected for 2018/2019. Conclusion In this study of hospitalized influenza patients, we show that distinct clusters with higher disease acuity can be identified and could be targeted for evaluations of vaccine and influenza antiviral effectiveness against disease attenuation. The association of higher disease acuity with glucose level merits evaluation.
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Affiliation(s)
- Aleda M. Leis
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Erin McSpadden
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Hannah E. Segaloff
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
- Epidemic Intelligence ServiceCDCAtlantaGeorgiaUSA
- Wisconsin Department of Health ServicesMadisonWisconsinUSA
| | - Adam S. Lauring
- Departments of Internal Medicine and Microbiology and ImmunologyUniversity of MichiganAnn ArborMichiganUSA
| | - Caroline Cheng
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Joshua G. Petrie
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
- Marshfield Clinic Research InstituteMarshfieldWisconsinUSA
| | - Lois E. Lamerato
- Department of Public Health SciencesHenry Ford Health SystemDetroitMichiganUSA
| | - Manish Patel
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Brendan Flannery
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Jill Ferdinands
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | | | - Arnold Monto
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Emily T. Martin
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
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9
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Alshehri A, Ahmed M, Bagazi D, Alghamdi A. Healthcare Providers' Adherence to Recommended Pneumococcal and Influenza Vaccination in Patients Discharged with Respiratory Diseases from General Medical Wards. Vaccines (Basel) 2023; 11:vaccines11020431. [PMID: 36851308 PMCID: PMC9968025 DOI: 10.3390/vaccines11020431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/12/2023] [Accepted: 01/31/2023] [Indexed: 02/16/2023] Open
Abstract
The periodic assessment of adherence to vaccination recommendations is an essential component of any vaccination process. This study aimed to investigate the adherence of healthcare providers to the international recommendations on influenza and pneumococcal vaccine in patients discharged from the internal medicine department with respiratory diseases. All medical records of adult patients who are 18 years of age and older with respiratory illnesses and who were discharged in January-February, May-June, and October-November of 2018 were retrospectively analyzed. A total of 264 discharge summaries from 190 patients were included in this analysis. The mean age was 55.5 years, with 54.7% of them being males. Pneumonia was the leading cause of hospitalization (63.7%), followed by asthma or chronic obstructive pulmonary disease (COPD) exacerbation (27.4%). None of the discharged patients had immunization recommendations at discharge or a documented immunization request within 6 months of discharge from the hospital. The findings of this study demonstrated that healthcare providers need to pay more attention to adhering to the global recommendations on influenza and pneumococcal vaccine among patient who were recently discharged with respiratory disease. Additional measures are needed to improve adherence to routinely recommended vaccines among adults with respiratory diseases.
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Affiliation(s)
- Amani Alshehri
- Pharmaceutical Care Services, King Saud Medical City, Riyadh 12746, Saudi Arabia
| | - Marwa Ahmed
- Pharmaceutical Care Services, King Saud Medical City, Riyadh 12746, Saudi Arabia
| | - Doaa Bagazi
- Pharmaceutical Care Services, King Saud Medical City, Riyadh 12746, Saudi Arabia
| | - Ahmad Alghamdi
- Internal Medicine Department, King Saud Medical City, Riyadh 12746, Saudi Arabia
- Correspondence:
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10
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Ahmed WS, Abu Farha R, Halboup AM, Alshargabi A, Al-mohamadi A, Abu-rish EY, Zawiah M, Al-Ashbat YK, Al-Jamei S. Knowledge, attitudes, perceptions, and practice toward seasonal influenza and its vaccine: A cross-sectional study from a country of conflict. Front Public Health 2023; 11:1030391. [PMID: 36860400 PMCID: PMC9970292 DOI: 10.3389/fpubh.2023.1030391] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 01/18/2023] [Indexed: 02/15/2023] Open
Abstract
Background The seasonal influenza vaccine is an important preventive measure against influenza and its associated complications. In Yemen, there is no seasonal influenza vaccination policy, and the influenza vaccine is excluded from the national immunization program. Data on vaccination coverage remain scarce with no previous surveillance programs or awareness campaigns implemented in the country. The current study aims to assess the awareness, knowledge, and attitudes of the public in Yemen toward seasonal influenza and their motivators and perceived barriers to receiving its vaccine. Methods A cross-sectional survey was carried out using a self-administered questionnaire that was distributed to eligible participants using convenience sampling. Results A total of 1,396 participants completed the questionnaire. The respondents showed a median knowledge score of influenza of 11.0/15.0, and most of them (70%) were able to recognize its modes of transmission. However, only 11.3% of the participants reported receiving the seasonal influenza vaccine. Physicians were the respondents' most preferred information source for influenza (35.2%), and their recommendation (44.3%) was the most cited reason for taking its vaccine. On the contrary, not knowing about the vaccine's availability (50.1%), concerns regarding the safety of the vaccine (17%), and not considering influenza as a threat (15.9%) were the main reported barriers to getting vaccinated. Conclusion The current study showed a low uptake of influenza vaccines in Yemen. The physician's role in promoting influenza vaccination seems to be essential. Extensive and sustained awareness campaigns would likely increase the awareness of influenza and remove misconceptions and negative attitudes toward its vaccine. Equitable access to the vaccine can be promoted by providing it free of charge to the public.
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Affiliation(s)
- Wesam S. Ahmed
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Rana Abu Farha
- Faculty of Pharmacy, Applied Science Private University, Amman, Jordan
| | - Abdulsalam M. Halboup
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, University of Science and Technology, Sana'a, Yemen,Department of Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia
| | | | - Ahmed Al-mohamadi
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, University of Science and Technology, Sana'a, Yemen
| | - Eman Y. Abu-rish
- Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, The University of Jordan, Amman, Jordan
| | - Mohammed Zawiah
- Department of Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia,Department of Pharmacy Practice, College of Clinical Pharmacy, Hodeidah University, Al Hodeidah, Yemen
| | - Yousf K. Al-Ashbat
- Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Al-Razi University, Sana'a, Yemen
| | - Sayida Al-Jamei
- Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Al-Razi University, Sana'a, Yemen,*Correspondence: Sayida Al-Jamei ✉
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11
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Jones-Gray E, Robinson EJ, Kucharski AJ, Fox A, Sullivan SG. Does repeated influenza vaccination attenuate effectiveness? A systematic review and meta-analysis. THE LANCET. RESPIRATORY MEDICINE 2023; 11:27-44. [PMID: 36152673 PMCID: PMC9780123 DOI: 10.1016/s2213-2600(22)00266-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/13/2022] [Accepted: 07/13/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Influenza vaccines require annual readministration; however, several reports have suggested that repeated vaccination might attenuate the vaccine's effectiveness. We aimed to estimate the reduction in vaccine effectiveness associated with repeated influenza vaccination. METHODS In this systematic review and meta-analysis, we searched MEDLINE, EMBASE, and CINAHL Complete databases for articles published from Jan 1, 2016, to June 13, 2022, and Web of Science for studies published from database inception to June 13, 2022. For studies published before Jan 1, 2016, we consulted published systematic reviews. Two reviewers (EJ-G and EJR) independently screened, extracted data using a data collection form, assessed studies' risk of bias using the Risk Of Bias In Non-Randomized Studies of Interventions (ROBINS-I) and evaluated the weight of evidence by Grading of Recommendations Assessment, Development, and Evaluation (GRADE). We included observational studies and randomised controlled trials that reported vaccine effectiveness against influenza A(H1N1)pdm09, influenza A(H3N2), or influenza B using four vaccination groups: current season; previous season; current and previous seasons; and neither season (reference). For each study, we calculated the absolute difference in vaccine effectiveness (ΔVE) for current season only and previous season only versus current and previous season vaccination to estimate attenuation associated with repeated vaccination. Pooled vaccine effectiveness and ∆VE were calculated by season, age group, and overall. This study is registered with PROSPERO, CRD42021260242. FINDINGS We identified 4979 publications, selected 681 for full review, and included 83 in the systematic review and 41 in meta-analyses. ΔVE for vaccination in both seasons compared with the current season was -9% (95% CI -16 to -1, I2=0%; low certainty) for influenza A(H1N1)pdm09, -18% (-26 to -11, I2=7%; low certainty) for influenza A(H3N2), and -7% (-14 to 0, I2=0%; low certainty) for influenza B, indicating lower protection with consecutive vaccination. However, for all types, A subtypes and B lineages, vaccination in both seasons afforded better protection than not being vaccinated. INTERPRETATION Our estimates suggest that, although vaccination in the previous year attenuates vaccine effectiveness, vaccination in two consecutive years provides better protection than does no vaccination. The estimated effects of vaccination in the previous year are concerning and warrant additional investigation, but are not consistent or severe enough to support an alternative vaccination regimen at this time. FUNDING WHO and the US National Institutes of Health.
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Affiliation(s)
- Elenor Jones-Gray
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - Elizabeth J Robinson
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - Adam J Kucharski
- Centre for the Mathematical Modelling of Infectious Diseases (CMMID), London School of Hygiene and Tropical Medicine, London, UK
| | - Annette Fox
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Sheena G Sullivan
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia; Department of Epidemiology, University of California, Los Angeles, CA, USA.
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12
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Epidemiological and virological surveillance of influenza viruses in China during 2020-2021. Infect Dis Poverty 2022; 11:74. [PMID: 35768826 PMCID: PMC9244124 DOI: 10.1186/s40249-022-01002-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/20/2022] [Indexed: 12/15/2022] Open
Abstract
Background During the coronavirus disease 2019 (COVID-19) pandemic, seasonal influenza activity declined globally and remained below previous seasonal levels, but intensified in China since 2021. Preventive measures to COVID-19 accompanied by different epidemic characteristics of influenza in different regions of the world. To better respond to influenza outbreaks under the COVID-19 pandemic, we analyzed the epidemiology, antigenic and genetic characteristics, and antiviral susceptibility of influenza viruses in the mainland of China during 2020–2021. Methods Respiratory specimens from influenza like illness cases were collected by sentinel hospitals and sent to network laboratories in Chinese National Influenza Surveillance Network. Antigenic mutation analysis of influenza virus isolates was performed by hemagglutination inhibition assay. Next-generation sequencing was used for genetic analyses. We also conducted molecular characterization and phylogenetic analysis of circulating influenza viruses. Viruses were tested for resistance to antiviral medications using phenotypic and/or sequence-based methods. Results In the mainland of China, influenza activity recovered in 2021 compared with that in 2020 and intensified during the traditional influenza winter season, but it did not exceed the peak in previous years. Almost all viruses isolated during the study period were of the B/Victoria lineage and were characterized by genetic diversity, with the subgroup 1A.3a.2 viruses currently predominated. 37.8% viruses tested were antigenically similar to reference viruses representing the components of the vaccine for the 2020–2021 and 2021–2022 Northern Hemisphere influenza seasons. In addition, China has a unique subgroup of 1A.3a.1 viruses. All viruses tested were sensitive to neuraminidase inhibitors and endonuclease inhibitors, except two B/Victoria lineage viruses identified to have reduced sensitivity to neuraminidase inhibitors. Conclusions Influenza activity increased in the mainland of China in 2021, and caused flu season in the winter of 2021–2022. Although the diversity of influenza (sub)type decreases, B/Victoria lineage viruses show increased genetic and antigenic diversity. The world needs to be fully prepared for the co-epidemic of influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus globally. Supplementary Information The online version contains supplementary material available at 10.1186/s40249-022-01002-x.
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13
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Tenforde MW, Patel MM, Ginde AA, Douin DJ, Talbot HK, Casey JD, Mohr NM, Zepeski A, Gaglani M, McNeal T, Ghamande S, Shapiro NI, Gibbs KW, Files DC, Hager DN, Shehu A, Prekker ME, Erickson HL, Exline MC, Gong MN, Mohamed A, Henning DJ, Peltan ID, Brown SM, Martin ET, Monto AS, Khan A, Hough CT, Busse L, ten Lohuis CC, Duggal A, Wilson JG, Gordon AJ, Qadir N, Chang SY, Mallow C, Gershengorn HB, Babcock HM, Kwon JH, Halasa N, Chappell JD, Lauring AS, Grijalva CG, Rice TW, Jones ID, Stubblefield WB, Baughman A, Womack KN, Lindsell CJ, Hart KW, Zhu Y, Olson SM, Stephenson M, Schrag SJ, Kobayashi M, Verani JR, Self WH. Effectiveness of Severe Acute Respiratory Syndrome Coronavirus 2 Messenger RNA Vaccines for Preventing Coronavirus Disease 2019 Hospitalizations in the United States. Clin Infect Dis 2022; 74:1515-1524. [PMID: 34358310 PMCID: PMC8436392 DOI: 10.1093/cid/ciab687] [Citation(s) in RCA: 105] [Impact Index Per Article: 52.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination coverage increases in the United States, there is a need to understand the real-world effectiveness against severe coronavirus disease 2019 (COVID-19) and among people at increased risk for poor outcomes. METHODS In a multicenter case-control analysis of US adults hospitalized March 11-May 5, 2021, we evaluated vaccine effectiveness to prevent COVID-19 hospitalizations by comparing odds of prior vaccination with a messenger RNA (mRNA) vaccine (Pfizer-BioNTech or Moderna) between cases hospitalized with COVID-19 and hospital-based controls who tested negative for SARS-CoV-2. RESULTS Among 1212 participants, including 593 cases and 619 controls, median age was 58 years, 22.8% were Black, 13.9% were Hispanic, and 21.0% had immunosuppression. SARS-CoV-2 lineage B0.1.1.7 (Alpha) was the most common variant (67.9% of viruses with lineage determined). Full vaccination (receipt of 2 vaccine doses ≥14 days before illness onset) had been received by 8.2% of cases and 36.4% of controls. Overall vaccine effectiveness was 87.1% (95% confidence interval [CI], 80.7-91.3). Vaccine effectiveness was similar for Pfizer-BioNTech and Moderna vaccines, and highest in adults aged 18-49 years (97.4%; 95% CI, 79.3-9.7). Among 45 patients with vaccine-breakthrough COVID hospitalizations, 44 (97.8%) were ≥50 years old and 20 (44.4%) had immunosuppression. Vaccine effectiveness was lower among patients with immunosuppression (62.9%; 95% CI,20.8-82.6) than without immunosuppression (91.3%; 95% CI, 85.6-94.8). CONCLUSION During March-May 2021, SARS-CoV-2 mRNA vaccines were highly effective for preventing COVID-19 hospitalizations among US adults. SARS-CoV-2 vaccination was beneficial for patients with immunosuppression, but effectiveness was lower in the immunosuppressed population.
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Affiliation(s)
| | | | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - David J Douin
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, Colorado
| | - H Keipp Talbot
- Department of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa
| | - Anne Zepeski
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas
| | - Tresa McNeal
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - D Clark Files
- 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
| | - Arber Shehu
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Matthew E Prekker
- Department of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, Minnesota
| | - Heidi L Erickson
- Department of Medicine, Hennepin County Medical Center, Minneapolis, Minnesota
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Bronx, New York
| | - Daniel J Henning
- Department of Emergency Medicine, University of Washington, Seattle, Washington
| | - Ithan D Peltan
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah
| | - 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
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon
| | - C Terri Hough
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon
| | - Laurence Busse
- Department of Medicine, Emory University, Atlanta, Georgia
| | | | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California
| | - Alexandra June Gordon
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, California
| | | | | | - Hilary M Babcock
- Department of Medicine, Washington University, St. Louis, Missouri
| | - Jennie H Kwon
- Department of Medicine, Washington University, St. Louis, Missouri
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adam S Lauring
- Department of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Todd W Rice
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ian D Jones
- Department of Emergency Medicine, 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
| | | | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | | | | | - Wesley H Self
- Department of Emergency Medicine and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee
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14
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Pietraszek A, Sobieszczańska M, Makuch S, Dróżdż M, Mazur G, Agrawal S. Identification of Barriers Limiting the Use of Preventive Vaccinations against Influenza among the Elderly Population: A Cross-Sectional Analysis. Vaccines (Basel) 2022; 10:vaccines10050651. [PMID: 35632407 PMCID: PMC9143662 DOI: 10.3390/vaccines10050651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 02/04/2023] Open
Abstract
Older adults are at a high risk of experiencing severe complications of influenza. Receiving a vaccination is a beneficial strategy to prevent the disease and reduce the severity of influenza illnesses. This cross-sectional questionnaire-based study aimed to evaluate the influence of sociodemographic, clinical, and mental parameters as well as other potential risk factors on refusal to vaccinate against influenza among the elderly population in Poland. Furthermore, due to the prevailing COVID-19 pandemic, we put efforts into finding any statistical correlations between the fear of COVID-19 infection in patients and their attitudes toward receiving an influenza vaccination. The study was conducted in November−December 2020 in Poland on a representative nationwide sample of 500 individuals aged > 60. Of the respondents, 62 (12.4%) and 51 (10.2%) underwent influenza vaccination in 2019 and 2020, respectively. Out of ten different factors analyzed in this study, three were significantly associated with attitudes towards influenza vaccination. Participants with net income below the national average of PLN 3000 (OR = 2.37, CI 95% [1.26−4.47]), compared to those earning more than PLN 3000, had significantly higher odds of having a negative attitude towards influenza vaccination. Furthermore, respondents with <174 cm height (OR = 2.56, CI 95% [1.51−4.33]) and those with strong fear of COVID-19 infection (OR = 1.65, CI95% [1.02−2.66]) were also more likely to refrain from influenza vaccination. We believe the identification of factors limiting the willingness to receive influenza vaccination is an effective way to help clinicians focus their efforts on educating the groups of patients with the highest odds of refusing to receive the vaccine. Moreover, it may aid the design and enforcement of national solutions or the implementation of novel legislative measures and preventive programs, increasing public confidence and promoting vaccination, especially among groups at high risk of developing this disease.
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Affiliation(s)
- Alicja Pietraszek
- Clinical Department of Geriatrics, Wroclaw Medical University, Skłodowskiej-Curie Str. 66, 50-369 Wroclaw, Poland;
- Correspondence:
| | - Małgorzata Sobieszczańska
- Clinical Department of Geriatrics, Wroclaw Medical University, Skłodowskiej-Curie Str. 66, 50-369 Wroclaw, Poland;
| | - Sebastian Makuch
- Department of Clinical and Experimental Pathology, Wroclaw Medical University, K. Marcinkowskiego St. 1, 50-368 Wroclaw, Poland;
| | - Mateusz Dróżdż
- Faculty of Medicine, Wroclaw Medical University, Jana Mikulicza-Radeckiego 5, 50-345 Wroclaw, Poland;
| | - Grzegorz Mazur
- Department and Clinic of Internal Medicine, Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Borowska St. 213, 50-556 Wroclaw, Poland; (G.M.); (S.A.)
| | - Siddarth Agrawal
- Department and Clinic of Internal Medicine, Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Borowska St. 213, 50-556 Wroclaw, Poland; (G.M.); (S.A.)
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15
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Kujawski SA, Whitaker M, Ritchey MD, Reingold AL, Chai SJ, Anderson EJ, Openo KP, Monroe M, Ryan P, Bye E, Como-Sabetti K, Barney GR, Muse A, Bennett NM, Felsen CB, Thomas A, Crawford C, Talbot HK, Schaffner W, Gerber SI, Langley GE, Kim L. Rates of respiratory syncytial virus (RSV)-associated hospitalization among adults with congestive heart failure—United States, 2015–2017. PLoS One 2022; 17:e0264890. [PMID: 35263382 PMCID: PMC8906631 DOI: 10.1371/journal.pone.0264890] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 02/19/2022] [Indexed: 11/19/2022] Open
Abstract
Background Respiratory syncytial virus (RSV) can cause severe disease in adults with cardiopulmonary conditions, such as congestive heart failure (CHF). We quantified the rate of RSV-associated hospitalization in adults by CHF status using population-based surveillance in the United States. Methods Population-based surveillance for RSV (RSV-NET) was performed in 35 counties in seven sites during two respiratory seasons (2015–2017) from October 1–April 30. Adults (≥18 years) admitted to a hospital within the surveillance catchment area with laboratory-confirmed RSV identified by clinician-directed testing were included. Presence of underlying CHF was determined by medical chart abstraction. We calculated overall and age-stratified (<65 years and ≥65 years) RSV-associated hospitalization rates by CHF status. Estimates were adjusted for age and the under-detection of RSV. We also report rate differences (RD) and rate ratios (RR) by comparing the rates for those with and without CHF. Results 2042 hospitalized RSV cases with CHF status recorded were identified. Most (60.2%, n = 1230) were ≥65 years, and 28.3% (n = 577) had CHF. The adjusted RSV hospitalization rate was 26.7 (95% CI: 22.2, 31.8) per 10,000 population in adults with CHF versus 3.3 (95% CI: 3.3, 3.3) per 10,000 in adults without CHF (RR: 8.1, 95% CI: 6.8, 9.7; RD: 23.4, 95% CI: 18.9, 28.5). Adults with CHF had higher rates of RSV-associated hospitalization in both age groups (<65 years and ≥65 years). Adults ≥65 years with CHF had the highest rate (40.5 per 10,000 population, 95% CI: 35.1, 46.6). Conclusions Adults with CHF had 8 times the rate of RSV-associated hospitalization compared with adults without CHF. Identifying high-risk populations for RSV infection can inform future RSV vaccination policies and recommendations.
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Affiliation(s)
- Stephanie A. Kujawski
- Epidemic Intelligence Service, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States of America
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States of America
| | - Michael Whitaker
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States of America
- Eagle Global Scientific, Atlanta, GA, United States of America
| | - Matthew D. Ritchey
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States of America
- US Public Health Service, Rockville, MD, United States of America
| | - Arthur L. Reingold
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, United States of America
| | - Shua J. Chai
- US Public Health Service, Rockville, MD, United States of America
- California Emerging Infections Program, Oakland, CA, United States of America
- Career Epidemiology Field Officer, Center for Preparedness and Response, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Evan J. Anderson
- Departments of Medicine and Pediatrics, Emory University School of Medicine, Atlanta, GA, United States of America
- Georgia Emerging Infections Program, Atlanta, GA, United States of America
- Atlanta Veterans Affairs Medical Center, Atlanta, GA, United States of America
| | - Kyle P. Openo
- Georgia Emerging Infections Program, Atlanta, GA, United States of America
- Atlanta Veterans Affairs Medical Center, Atlanta, GA, United States of America
- Foundation for Atlanta Veterans Education and Research, Decatur, GA, United States of America
| | - Maya Monroe
- Maryland Department of Health, Baltimore, MD, United States of America
| | - Patricia Ryan
- Maryland Department of Health, Baltimore, MD, United States of America
| | - Erica Bye
- Minnesota Department of Health, St. Paul, MN, United States of America
| | | | - Grant R. Barney
- New York State Department of Health, Albany, NY, United States of America
| | - Alison Muse
- New York State Department of Health, Albany, NY, United States of America
| | - Nancy M. Bennett
- University of Rochester School of Medicine and Dentistry, Rochester, NY, United States of America
| | - Christina B. Felsen
- University of Rochester School of Medicine and Dentistry, Rochester, NY, United States of America
| | - Ann Thomas
- Public Health Division, Oregon Health Authority, Portland, OR, United States of America
| | - Courtney Crawford
- Public Health Division, Oregon Health Authority, Portland, OR, United States of America
| | - H. Keipp Talbot
- Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - William Schaffner
- Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Susan I. Gerber
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States of America
| | - Gayle E. Langley
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States of America
| | - Lindsay Kim
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States of America
- US Public Health Service, Rockville, MD, United States of America
- * E-mail:
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16
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Talbot HK, Martin ET, Gaglani M, Middleton DB, Ghamande S, Silveira FP, Murthy K, Zimmerman RK, Trabue CH, Olson SM, Petrie JG, Ferdinands JM, Patel MM, Monto AS. Coronavirus disease 2019 (COVID-19) Versus Influenza in Hospitalized Adult Patients in the United States: Differences in Demographic and Severity Indicators. Clin Infect Dis 2021; 73:2240-2247. [PMID: 34050659 PMCID: PMC8195096 DOI: 10.1093/cid/ciab123] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Novel coronavirus disease 2019 (COVID-19) is frequently compared with influenza. The Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) conducts studies on the etiology and characteristics of U.S. hospitalized adults with influenza. It began enrolling patients with COVID-19 hospitalizations in March 2020. Patients with influenza were compared with those with COVID-19 in the first months of the U.S. epidemic. METHODS Adults aged ≥ 18 years admitted to hospitals in 4 sites with acute respiratory illness were tested by real-time reverse transcription polymerase chain reaction for influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing COVID-19. Demographic and illness characteristics were collected for influenza illnesses during 3 seasons 2016-2019. Similar data were collected on COVID-19 cases admitted before June 19, 2020. RESULTS Age groups hospitalized with COVID-19 (n = 914) were similar to those admitted with influenza (n = 1937); 80% of patients with influenza and 75% of patients with COVID-19 were aged ≥50 years. Deaths from COVID-19 that occurred in younger patients were less often related to underlying conditions. White non-Hispanic persons were overrepresented in influenza (64%) compared with COVID-19 hospitalizations (37%). Greater severity and complications occurred with COVID-19 including more ICU admissions (AOR = 15.3 [95% CI: 11.6, 20.3]), ventilator use (AOR = 15.6 [95% CI: 10.7, 22.8]), 7 additional days of hospital stay in those discharged alive, and death during hospitalization (AOR = 19.8 [95% CI: 12.0, 32.7]). CONCLUSIONS While COVID-19 can cause a respiratory illness like influenza, it is associated with significantly greater severity of illness, longer hospital stays, and higher in-hospital deaths.
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Affiliation(s)
- H Keipp Talbot
- Department of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
- Department of Medical Education at Texas A&M University COM, Texas, USA
| | - Donald B Middleton
- Department of Medicine, Division of Infectious Diseases, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Shekhar Ghamande
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
- Department of Medical Education at Texas A&M University COM, Texas, USA
| | - Fernanda P Silveira
- Department of Medicine, Division of Infectious Diseases, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Kempapura Murthy
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Richard K Zimmerman
- Department of Medicine, Division of Infectious Diseases, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Christopher H Trabue
- Department of Medicine, University of Tennessee Health Science Center, Saint Thomas Health, Nashville, Tennessee, USA
| | - Samantha M Olson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Joshua G Petrie
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Manish M Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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17
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Lewis NM, Chung JR, Uyeki TM, Grohskopf L, Ferdinands JM, Patel MM. Interpretation of Relative Efficacy and Effectiveness for Influenza Vaccines. Clin Infect Dis 2021; 75:170-175. [PMID: 34875035 DOI: 10.1093/cid/ciab1016] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Indexed: 11/15/2022] Open
Abstract
Relative vaccine effectiveness (rVE) are metrics commonly reported to compare absolute VE (aVE) of two vaccine products. Estimates of rVE for enhanced influenza vaccines (eIV) vs. standard inactivated influenza vaccine (IIV) have been assessed across different seasons, influenza-specific endpoints, and nonspecific endpoints (e.g., all-cause cardiovascular hospitalizations). To illustrate the challenges of comparability across studies, we conducted a scenario analysis to evaluate the effects of varying absolute VE (aVE) of IIV (i.e., as compared with placebo) on the interpretation of rVE of eIV vs IIV. We show that estimates of rVE might not be comparable across studies because additional benefits commensurate with a given estimate of rVE are dependent on the aVE for the comparator vaccine, which can depend on factors such as host response to vaccine, virus type, and clinical endpoint evaluated. These findings have implications for interpretation of rVE across studies and for sample size considerations in future trials.
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Affiliation(s)
- Nathaniel M Lewis
- 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
| | - Timothy M Uyeki
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta Georgia, USA
| | - Lisa Grohskopf
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta Georgia, USA
| | - Jill M Ferdinands
- 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
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18
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Mena G, Casas I, Casañ C, Auñón M, Matas L, Mòdol JM, Esteve M. Influenza vaccination coverage and factors associated with severe laboratory-confirmed influenza-related illness in patients receiving care at a tertiary hospital in Catalonia (Spain) during the 2018-2019 epidemic season. PLoS One 2021; 16:e0260397. [PMID: 34855801 PMCID: PMC8638936 DOI: 10.1371/journal.pone.0260397] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 11/09/2021] [Indexed: 01/10/2023] Open
Abstract
INTRODUCTION Influenza vaccination rates in risk groups remain suboptimal. Evidence supporting a significant association between influenza vaccination and severe illness is limited. METHODS We retrospectively analyzed the epidemiological characteristics of out- and inpatients with laboratory-confirmed influenza infection attended during the 2018-19 epidemic season. Influenza vaccination coverage by indication was analyzed. Logistic regression was used to compare the odds of vaccination between severe and non-severe influenza-positive patients. Severe cases were defined as presenting pneumonia, admission to critical care units and/or death. RESULTS The overall vaccination coverage among influenza-positive patients was 30.4%. In subjects with ≥ 1 indication for vaccination, the vaccination coverage was 42.4%. By indication, coverage rates were: 52.5% in patients aged ≥ 59 years, 42.2% in obese patients, 29.2% in immunosuppressed subjects and 6.5% in pregnant women. In patients with underlying chronic diseases, a higher coverage was found in patients with cognitive impairment (77%), muscular dystrophy (63.6%) and renal disease (60.4%). The multivariate logistic regression model showed severe influenza-related illness was associated with a lack of influenza vaccination before seeking care during the 2018-2019 season [0.59 (95%CI 0.36-0.97); p = 0.038], older age [1.01 (95%CI 1.00-1.02); p = 0.009] and current or former smoking status [1.63 (95%CI 0.84-3.18) and 2.03 (95%CI 1.16-3.57); p = 0.031], adjusted by underlying disease. CONCLUSION Adjusting by age, smoking status and underlying disease, a moderate association between the influenza vaccine and severe laboratory-confirmed influenza-related illness was found in an epidemic season in which there was matching between the vaccine and circulating strains. Protection against complications, especially in older subjects and in those with underlying disease is postulated as one of the strengths of annual influenza vaccination. However, influenza vaccination is a pending issue in these groups, especially in pregnant women and obese people. To avoid suboptimal vaccination coverages, health professionals should recommend the seasonal influenza vaccination according to the annual instructions of the health authorities.
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Affiliation(s)
- Guillermo Mena
- Servicio de Medicina Preventiva, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Irma Casas
- Servicio de Medicina Preventiva, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Cristina Casañ
- Servicio de Microbiologia, Laboratori Clínic Metropolitana Nord, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Mario Auñón
- Servicio de Medicina Preventiva, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Lurdes Matas
- Universitat Autònoma de Barcelona, Barcelona, Spain
- Servicio de Microbiologia, Laboratori Clínic Metropolitana Nord, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Josep-Maria Mòdol
- Universitat Autònoma de Barcelona, Barcelona, Spain
- Dirección Médica, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - María Esteve
- Servicio de Medicina Preventiva, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
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19
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DeJonge PM, Monto AS, Malosh RE, Petrie JG, Segaloff HE, McSpadden E, Cheng C, Bazzi L, Callear A, Johnson E, Truscon R, Martin ET. Distinct influenza surveillance networks and their agreement in recording regional influenza circulation: Experience from Southeast Michigan. Influenza Other Respir Viruses 2021; 16:521-531. [PMID: 34821476 PMCID: PMC8983886 DOI: 10.1111/irv.12944] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 11/07/2021] [Indexed: 01/22/2023] Open
Abstract
INTRODUCTION In Southeast Michigan, active surveillance studies monitor influenza activity in hospitals, ambulatory clinics, and community households. Across five respiratory seasons, we assessed the contribution of data from each of the three networks towards improving our overall understanding of regional influenza circulation. METHODS All three networks used case definitions for acute respiratory illness (ARI) and molecularly tested for influenza from research-collected respiratory specimens. Age- and network-stratified epidemic curves were created for influenza A and B. We compared stratified epidemic curves visually and by centering at seasonal midpoints. RESULTS Across all seasons (from 2014/2015 through 2018/2019), epidemic curves from each of the three networks were comparable in terms of both timing and magnitude. Small discrepancies in epidemics recorded by each network support previous conclusions about broader characteristics of particular influenza seasons. CONCLUSION Influenza surveillance systems based in hospital, ambulatory clinic, and community household settings appear to provide largely similar information regarding regional epidemic activity. Together, multiple levels of influenza surveillance provide a detailed view of regional influenza epidemics, but a single surveillance system-regardless of population subgroup monitored-appears to be sufficient in providing vital information regarding community influenza epidemics.
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Affiliation(s)
- Peter M DeJonge
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Arnold S Monto
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Ryan E Malosh
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Joshua G Petrie
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Hannah E Segaloff
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Erin McSpadden
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Caroline Cheng
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Latifa Bazzi
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Amy Callear
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emileigh Johnson
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Rachel Truscon
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emily T Martin
- Michigan Influenza Center, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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20
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Yildirim I, Kao CM, Tippett A, Suntarattiwong P, Munye M, Yi J, Elmontser M, Quincer E, Focht C, Watson N, Bilen H, Baker JM, Lopman B, Hogenesch E, Rostad CA, Anderson EJ. A Retrospective Test-Negative Case-Control Study to Evaluate Influenza Vaccine Effectiveness in Preventing Hospitalizations in Children. Clin Infect Dis 2021; 73:1759-1767. [PMID: 34410341 PMCID: PMC8599178 DOI: 10.1093/cid/ciab709] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Vaccination is the primary strategy to reduce influenza burden. Influenza vaccine effectiveness (VE) can vary annually depending on circulating strains. METHODS We used a test-negative case-control study design to estimate influenza VE against laboratory-confirmed influenza-related hospitalizations among children (aged 6 months-17 years) across 5 influenza seasons in Atlanta, Georgia, from 2012-2013 to 2016-2017. Influenza-positive cases were randomly matched to test-negative controls based on age and influenza season in a 1:1 ratio. We used logistic regression models to compare odds ratios (ORs) of vaccination in cases to controls. We calculated VE as [100% × (1 - adjusted OR)] and computed 95% confidence intervals (CIs) around the estimates. RESULTS We identified 14 596 hospitalizations of children who were tested for influenza using the multiplex respiratory molecular panel; influenza infection was detected in 1017 (7.0%). After exclusions, we included 512 influenza-positive cases and 512 influenza-negative controls. The median age was 5.9 years (interquartile range, 2.7-10.3), 497 (48.5%) were female, 567 (55.4%) were non-Hispanic Black, and 654 (63.9%) children were unvaccinated. Influenza A accounted for 370 (72.3%) of 512 cases and predominated during all 5 seasons. The adjusted VE against influenza-related hospitalizations during 2012-2013 to 2016-2017 was 51.3% (95% CI, 34.8% to 63.6%) and varied by season. Influenza VE was 54.7% (95% CI, 37.4% to 67.3%) for influenza A and 37.1% (95% CI, 2.3% to 59.5%) for influenza B. CONCLUSIONS Influenza vaccination decreased the risk of influenza-related pediatric hospitalizations by >50% across 5 influenza seasons.
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Affiliation(s)
- Inci Yildirim
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Carol M Kao
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Ashley Tippett
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Piyarat Suntarattiwong
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Mohamed Munye
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Jumi Yi
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
- Department of Pediatrics, University of San Francisco, San Francisco, California, USA
| | - Mohnd Elmontser
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Elizabeth Quincer
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | | | | | - Hande Bilen
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Julia M Baker
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Ben Lopman
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Elena Hogenesch
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Christina A Rostad
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Evan J Anderson
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
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21
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Nowalk MP, D'Agostino HEA, Zimmerman RK, Saul SG, Susick M, Raviotta JM, Sax TM, Balasubramani GK. Agreement among sources of adult influenza vaccination in the age of immunization information systems. Vaccine 2021; 39:6829-6836. [PMID: 34716041 PMCID: PMC8653902 DOI: 10.1016/j.vaccine.2021.10.041] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 11/18/2022]
Abstract
INTRODUCTION Many vaccination studies rely on self-reported vaccination status, with its inherent biases. Accuracy of influenza vaccination self-report has been evaluated periodically, typically using the medical record as the gold standard. The burgeoning of electronic medical records (EMRs) and immunization information systems (IISs) and the rise of adult vaccine administration in community pharmacies suggest the need for a reevaluation of self-reported vaccination status. METHODS Vaccination data from self-report, the state IIS, the health system EMR and other sources were compared for participants in outpatient and inpatient influenza vaccine effectiveness studies for four seasons (2016-2017 to 2019-2020). Agreement among the sources was calculated along with sensitivity and specificity. Tests for trend assessed changes in completeness of the Pennsylvania - Statewide IIS (PA-SIIS) data over time. RESULTS With self-report as the gold standard, agreement with the local EMR, PA-SIIS, and all sources was 62%, 77% and 85%, respectively. Sensitivity of the EMR was 42% (95% CI = 41, 43) and specificity was 91% (90, 92). With PA-SIIS-as the gold standard, agreement with the local EMR and all sources was 77% and 78%, respectively. Sensitivity of all sources combined was 96% (95, 97) and specificity was (63% (62, 64). Capture of influenza vaccinations in the IIS has not consistently improved over time, with a significant increase among children (P = 0.001), no change among working-age adults and a decrease among older adults (P = 0.004). However, PA-SIIS provided the largest percentage of verified vaccines (69.3%) compared with EMR (43.3%) and other sources (12.4%). CONCLUSION Both self-report and PA-SIIS are good estimates of actual vaccine uptake. When high accuracy data are required, such as for vaccine effectiveness studies, triangulation using multiple sources should be conducted.
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Affiliation(s)
- Mary Patricia Nowalk
- University of Pittsburgh School of Medicine, Department of Family Medicine, Suite 520 Schenley Place, 4420 Bayard St, Pittsburgh, PA 15260, USA.
| | - Helen Eleni Aslanidou D'Agostino
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, Suite 600 Schenley Place, 4420 Bayard St, Pittsburgh, PA 15260, USA
| | - Richard K Zimmerman
- University of Pittsburgh School of Medicine, Department of Family Medicine, Suite 520 Schenley Place, 4420 Bayard St, Pittsburgh, PA 15260, USA
| | - Sean G Saul
- University of Pittsburgh School of Medicine, Department of Family Medicine, Suite 520 Schenley Place, 4420 Bayard St, Pittsburgh, PA 15260, USA
| | - Michael Susick
- University of Pittsburgh School of Medicine, Department of Family Medicine, Suite 520 Schenley Place, 4420 Bayard St, Pittsburgh, PA 15260, USA
| | - Jonathan M Raviotta
- University of Pittsburgh School of Medicine, Department of Family Medicine, Suite 520 Schenley Place, 4420 Bayard St, Pittsburgh, PA 15260, USA
| | - Theresa M Sax
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, Suite 600 Schenley Place, 4420 Bayard St, Pittsburgh, PA 15260, USA
| | - G K Balasubramani
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, Suite 600 Schenley Place, 4420 Bayard St, Pittsburgh, PA 15260, USA
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22
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Hubble MW, Renkiewicz GK. Estimated Cost Effectiveness of Influenza Vaccination for Emergency Medical Services Professionals. West J Emerg Med 2021; 22:1317-1325. [PMID: 34787557 PMCID: PMC8597702 DOI: 10.5811/westjem.2021.7.50681] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 07/23/2021] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION Because of their frequent contact with compromised patients, vaccination against influenza is recommended for all healthcare workers. Recent studies suggest that vaccination decreases influenza transmission to patients and reduces worker illness and absenteeism. However, few emergency medical services (EMS) agencies provide annual vaccination, and the vaccination rate among EMS personnel remains low. Reticence among EMS agencies to provide influenza vaccination to their employees may be due in part to the unknown fiscal consequences of implementing a vaccination program. In this study, we sought to estimate the cost effectiveness of an employer-provided influenza vaccination program for EMS personnel. METHODS Using data from published reports on influenza vaccination, we developed a cost-effectiveness model of vaccination for a hypothesized EMS system of 100 employees. Model inputs included vaccination costs, vaccination rate, infection rate, costs associated with absenteeism, lost productivity due to working while ill (presenteeism), and medical care for treating illness. To assess the robustness of the model we performed a series of sensitivity analyses on the input variables. RESULTS The proportion of employees contracting influenza or influenza-like illness (ILI) was estimated at 19% among vaccinated employees compared to 26% among non-vaccinated employees. The costs of the vaccine, consumables, and employee time for vaccination totaled $44.19 per vaccinated employee, with a total system cost of $4,419. Compared to no vaccination, a mandatory vaccination program would save $20,745 in lost productivity and medical costs, or $16,325 in net savings after accounting for vaccination costs. The savings were 3.7 times the cost of the vaccination program and were derived from avoided absenteeism ($7,988), avoided presenteeism productivity losses ($10,303), and avoided medical costs of treating employees with influenza/ILI ($2,454). Through sensitivity analyses the model was verified to be robust across a wide range of input variable assumptions. The net monetary benefits were positive across all ranges of input assumptions, but cost savings were most sensitive to the vaccination uptake rate, ILI rate, and presenteeism productivity losses. CONCLUSION This cost-effectiveness analysis suggests that an employer-provided influenza vaccination program is a financially favorable strategy for reducing costs associated with influenza/ILI employee absenteeism, presenteeism, and medical care.
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Affiliation(s)
- Michael W Hubble
- Wake Technical Community College, Department of Emergency Medical Science, Raleigh, North Carolina
| | - Ginny K Renkiewicz
- Wake Technical Community College, Department of Emergency Medical Science, Raleigh, North Carolina
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23
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Grijalva CG, Feldstein LR, Talbot HK, Aboodi M, Baughman AH, Brown SM, Casey JD, Erickson HL, Exline MC, Files DC, Gibbs KW, Ginde AA, Gong MN, Halasa N, Khan A, Lindsell CJ, Nwosu SK, Peltan ID, Prekker ME, Rice TW, Shapiro NI, Steingrub JS, Stubblefield WB, Tenforde MW, Patel MM, Self WH. Influenza Vaccine Effectiveness for Prevention of Severe Influenza-Associated Illness Among Adults in the United States, 2019-2020: A Test-Negative Study. Clin Infect Dis 2021; 73:1459-1468. [PMID: 34014274 PMCID: PMC8682606 DOI: 10.1093/cid/ciab462] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Influenza vaccine effectiveness (VE) against a spectrum of severe disease, including critical illness and death, remains poorly characterized. METHODS We conducted a test-negative study in an intensive care unit (ICU) network at 10 US hospitals to evaluate VE for preventing influenza-associated severe acute respiratory infection (SARI) during the 2019-2020 season, which was characterized by circulation of drifted A/H1N1 and B-lineage viruses. Cases were adults hospitalized in the ICU and a targeted number outside the ICU (to capture a spectrum of severity) with laboratory-confirmed, influenza-associated SARI. Test-negative controls were frequency-matched based on hospital, timing of admission, and care location (ICU vs non-ICU). Estimates were adjusted for age, comorbidities, and other confounders. RESULTS Among 638 patients, the median (interquartile) age was 57 (44-68) years; 286 (44.8%) patients were treated in the ICU and 42 (6.6%) died during hospitalization. Forty-five percent of cases and 61% of controls were vaccinated, which resulted in an overall VE of 32% (95% CI: 2-53%), including 28% (-9% to 52%) against influenza A and 52% (13-74%) against influenza B. VE was higher in adults 18-49 years old (62%; 95% CI: 27-81%) than those aged 50-64 years (20%; -48% to 57%) and ≥65 years old (-3%; 95% CI: -97% to 46%) (P = .0789 for interaction). VE was significantly higher against influenza-associated death (80%; 95% CI: 4-96%) than nonfatal influenza illness. CONCLUSIONS During a season with drifted viruses, vaccination reduced severe influenza-associated illness among adults by 32%. VE was high among young adults.
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Affiliation(s)
| | - Leora R Feldstein
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Michael Aboodi
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Samuel M Brown
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
| | | | - Heidi L Erickson
- Hennepin County Medical Center and the University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | | | - D Clark Files
- Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kevin W Gibbs
- Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Adit A Ginde
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Michelle N Gong
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Natasha Halasa
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Akram Khan
- Oregon Health and Science University, Portland, Oregon, USA
| | | | - Samuel K Nwosu
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ithan D Peltan
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
| | - Matthew E Prekker
- Hennepin County Medical Center and the University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Todd W Rice
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nathan I Shapiro
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | | | | | - 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
| | - Wesley H Self
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Thompson MG, Stenehjem E, Grannis S, Ball SW, Naleway AL, Ong TC, DeSilva MB, Natarajan K, Bozio CH, Lewis N, Dascomb K, Dixon BE, Birch RJ, Irving SA, Rao S, Kharbanda E, Han J, Reynolds S, Goddard K, Grisel N, Fadel WF, Levy ME, Ferdinands J, Fireman B, Arndorfer J, Valvi NR, Rowley EA, Patel P, Zerbo O, Griggs EP, Porter RM, Demarco M, Blanton L, Steffens A, Zhuang Y, Olson N, Barron M, Shifflett P, Schrag SJ, Verani JR, Fry A, Gaglani M, Azziz-Baumgartner E, Klein NP. Effectiveness of Covid-19 Vaccines in Ambulatory and Inpatient Care Settings. N Engl J Med 2021; 385:1355-1371. [PMID: 34496194 PMCID: PMC8451184 DOI: 10.1056/nejmoa2110362] [Citation(s) in RCA: 284] [Impact Index Per Article: 94.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND There are limited data on the effectiveness of the vaccines against symptomatic coronavirus disease 2019 (Covid-19) currently authorized in the United States with respect to hospitalization, admission to an intensive care unit (ICU), or ambulatory care in an emergency department or urgent care clinic. METHODS We conducted a study involving adults (≥50 years of age) with Covid-19-like illness who underwent molecular testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We assessed 41,552 admissions to 187 hospitals and 21,522 visits to 221 emergency departments or urgent care clinics during the period from January 1 through June 22, 2021, in multiple states. The patients' vaccination status was documented in electronic health records and immunization registries. We used a test-negative design to estimate vaccine effectiveness by comparing the odds of a positive test for SARS-CoV-2 infection among vaccinated patients with those among unvaccinated patients. Vaccine effectiveness was adjusted with weights based on propensity-for-vaccination scores and according to age, geographic region, calendar time (days from January 1, 2021, to the index date for each medical visit), and local virus circulation. RESULTS The effectiveness of full messenger RNA (mRNA) vaccination (≥14 days after the second dose) was 89% (95% confidence interval [CI], 87 to 91) against laboratory-confirmed SARS-CoV-2 infection leading to hospitalization, 90% (95% CI, 86 to 93) against infection leading to an ICU admission, and 91% (95% CI, 89 to 93) against infection leading to an emergency department or urgent care clinic visit. The effectiveness of full vaccination with respect to a Covid-19-associated hospitalization or emergency department or urgent care clinic visit was similar with the BNT162b2 and mRNA-1273 vaccines and ranged from 81% to 95% among adults 85 years of age or older, persons with chronic medical conditions, and Black or Hispanic adults. The effectiveness of the Ad26.COV2.S vaccine was 68% (95% CI, 50 to 79) against laboratory-confirmed SARS-CoV-2 infection leading to hospitalization and 73% (95% CI, 59 to 82) against infection leading to an emergency department or urgent care clinic visit. CONCLUSIONS Covid-19 vaccines in the United States were highly effective against SARS-CoV-2 infection requiring hospitalization, ICU admission, or an emergency department or urgent care clinic visit. This vaccine effectiveness extended to populations that are disproportionately affected by SARS-CoV-2 infection. (Funded by the Centers for Disease Control and Prevention.).
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Affiliation(s)
- Mark G Thompson
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Edward Stenehjem
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Shaun Grannis
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Sarah W Ball
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Allison L Naleway
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Toan C Ong
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Malini B DeSilva
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Karthik Natarajan
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Catherine H Bozio
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Ned Lewis
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Kristin Dascomb
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Brian E Dixon
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Rebecca J Birch
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Stephanie A Irving
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Suchitra Rao
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Elyse Kharbanda
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Jungmi Han
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Sue Reynolds
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Kristin Goddard
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Nancy Grisel
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - William F Fadel
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Matthew E Levy
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Jill Ferdinands
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Bruce Fireman
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Julie Arndorfer
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Nimish R Valvi
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Elizabeth A Rowley
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Palak Patel
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Ousseny Zerbo
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Eric P Griggs
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Rachael M Porter
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Maria Demarco
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Lenee Blanton
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Andrea Steffens
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Yan Zhuang
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Natalie Olson
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Michelle Barron
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Patricia Shifflett
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Stephanie J Schrag
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Jennifer R Verani
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Alicia Fry
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Manjusha Gaglani
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Eduardo Azziz-Baumgartner
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
| | - Nicola P Klein
- From the Centers for Disease Control and Prevention COVID-19 Response Team, Atlanta (M.G.T., C.H.B., S. Reynolds, J.F., P.P., E.P.G., R.M.P., L.B., A.S., N.O., S.J.S., J.R.V., A.F., E.A.-B.); the Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City (E.S., K.D., N.G., J.A.); the Center for Biomedical Informatics, Regenstrief Institute (S.G., B.E.D., W.F.F., N.R.V.), Indiana University School of Medicine (S.G.), and Indiana University Richard M. Fairbanks School of Public Health (B.E.D., W.F.F., N.R.V.) - all in Indianapolis; Westat, Rockville, MD (S.W.B., R.J.B., M.E.L., E.A.R., M.D., Y.Z., P.S.); the Kaiser Permanente Northwest Center for Health Research, Portland, OR (A.L.N., S.A.I.); the Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora (T.C.O., S. Rao, M.B.); HealthPartners Institute, Minneapolis (M.B.D., E.K.); the Department of Biomedical Informatics, Columbia University Irving Medical Center (K.N., J.H.), and New York-Presbyterian Hospital (K.N.) - both in New York; the Vaccine Study Center, Division of Research, Kaiser Permanente Northern California, Oakland (N.L., K.G., B.F., O.Z., N.P.K.); and Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, TX (M.G.)
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Cell-Adapted Mutations and Antigenic Diversity of Influenza B Viruses in Missouri, 2019-2020 Season. Viruses 2021; 13:v13101896. [PMID: 34696325 PMCID: PMC8538563 DOI: 10.3390/v13101896] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/12/2021] [Accepted: 09/16/2021] [Indexed: 01/31/2023] Open
Abstract
Influenza B viruses (IBVs) are causing an increasing burden of morbidity and mortality, yet the prevalence of culture-adapted mutations in human seasonal IBVs are unclear. We collected 368 clinical samples from patients with influenza-like illness in Missouri during the 2019–2020 influenza season and recovered 146 influenza isolates including 38 IBV isolates. Of MDCK-CCL34, MDCK-Siat1, and humanized MDCK (hCK), hCK showed the highest virus recovery efficiency. All Missourian IBVs belonged to the Victoria V1A.3 lineage, all of which contained a three-amino acid deletion on the HA protein and were antigenically distant from the Victoria lineage IBV vaccine strain used during that season. By comparing genomic sequences of these IBVs in 31 paired samples, eight cell-adapted nonsynonymous mutations were identified, with the majority in the RNA polymerase. Analyses of IBV clinical sample–isolate pairs from public databases further showed that cell- and egg-adapted mutations occurred more widely in viral proteins, including the receptor and antibody binding sites on HA. Our study suggests that hCK is an effective platform for IBV isolation and that culture-adapted mutations may occur during IBV isolation. As culture-adapted mutations may affect subsequent virus studies and vaccine development, the knowledge from this study may help optimize strategies for influenza surveillance, vaccine strain selection, and vaccine development.
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Tenforde MW, Talbot HK, Trabue CH, Gaglani M, McNeal TM, Monto AS, Martin ET, Zimmerman RK, Silveira FP, Middleton DB, Olson SM, Garten Kondor RJ, Barnes JR, Ferdinands JM, Patel MM. Influenza Vaccine Effectiveness Against Hospitalization in the United States, 2019-2020. J Infect Dis 2021; 224:813-820. [PMID: 33378531 PMCID: PMC8408767 DOI: 10.1093/infdis/jiaa800] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 12/23/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Influenza causes significant morbidity and mortality and stresses hospital resources during periods of increased circulation. We evaluated the effectiveness of the 2019-2020 influenza vaccine against influenza-associated hospitalization in the United States. METHODS We included adults hospitalized with acute respiratory illness at 14 hospitals and tested for influenza viruses by reserve-transcription polymerase chain reaction. Vaccine effectiveness (VE) was estimated by comparing the odds of current-season influenza vaccination in test-positive influenza cases vs test-negative controls, adjusting for confounders. VE was stratified by age and major circulating influenza types along with A(H1N1)pdm09 genetic subgroups. RESULTS A total of 3116 participants were included, including 18% (n = 553) influenza-positive cases. Median age was 63 years. Sixty-seven percent (n = 2079) received vaccination. Overall adjusted VE against influenza viruses was 41% (95% confidence interval [CI], 27%-52%). VE against A(H1N1)pdm09 viruses was 40% (95% CI, 24%-53%) and 33% against B viruses (95% CI, 0-56%). Of the 2 major A(H1N1)pdm09 subgroups (representing 90% of sequenced H1N1 viruses), VE against one group (5A + 187A,189E) was 59% (95% CI, 34%-75%) whereas no VE was observed against the other group (5A + 156K) (-1% [95% CI, -61% to 37%]). CONCLUSIONS In a primarily older population, influenza vaccination was associated with a 41% reduction in risk of hospitalized influenza illness.
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Affiliation(s)
- Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christopher H Trabue
- University of Tennessee Health Science Center, Saint Thomas Health, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Tresa M McNeal
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Richard K Zimmerman
- University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Fernanda P Silveira
- University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Donald B Middleton
- University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Samantha M Olson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Rebecca J Garten Kondor
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - John R Barnes
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jill M Ferdinands
- 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
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27
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Ferdinands JM, Gaglani M, Martin ET, Monto AS, Middleton D, Silveira F, Talbot HK, Zimmerman R, Patel M. Waning Vaccine Effectiveness Against Influenza-Associated Hospitalizations Among Adults, 2015-2016 to 2018-2019, United States Hospitalized Adult Influenza Vaccine Effectiveness Network. Clin Infect Dis 2021; 73:726-729. [PMID: 33462610 PMCID: PMC8499703 DOI: 10.1093/cid/ciab045] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Indexed: 11/12/2022] Open
Abstract
We observed decreased effectiveness of influenza vaccine with increasing time since vaccination for prevention of influenza A(H3N2), influenza A(H1N1)pdm09, and influenza B/Yamagata-associated hospitalizations among adults. Maximum vaccine effectiveness (VE) was observed shortly after vaccination, followed by an absolute decline in VE of about 8%-9% per month postvaccination.
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Affiliation(s)
- Jill M Ferdinands
- Influenza Division, Centers for Disease Control and
Prevention, Atlanta, Georgia, 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
| | - Donald Middleton
- University of Pittsburgh and University of Pittsburgh
Medical Center, Pittsburgh, Pennsylvania, USA
| | - Fernanda Silveira
- University of Pittsburgh and University of Pittsburgh
Medical Center, Pittsburgh, Pennsylvania, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center,
Nashville, Tennessee, USA
| | - Richard Zimmerman
- University of Pittsburgh and University of Pittsburgh
Medical Center, Pittsburgh, Pennsylvania, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and
Prevention, Atlanta, Georgia, USA
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28
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Tenforde MW, Chung J, Smith ER, Talbot HK, Trabue CH, Zimmerman RK, Silveira FP, Gaglani M, Murthy K, Monto AS, Martin ET, McLean HQ, Belongia EA, Jackson LA, Jackson ML, Ferdinands JM, Flannery B, Patel MM. Influenza Vaccine Effectiveness in Inpatient and Outpatient Settings in the United States, 2015-2018. Clin Infect Dis 2021; 73:386-392. [PMID: 32270198 DOI: 10.1093/cid/ciaa407] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 04/07/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Demonstration of influenza vaccine effectiveness (VE) against hospitalized illness in addition to milder outpatient illness may strengthen vaccination messaging. Our objective was to compare patient characteristics and VE between United States (US) inpatient and outpatient VE networks. METHODS We tested adults with acute respiratory illness (ARI) for influenza within 1 outpatient-based and 1 hospital-based VE network from 2015 through 2018. We compared age, sex, and high-risk conditions. The test-negative design was used to compare vaccination odds in influenza-positive cases vs influenza-negative controls. We estimated VE using logistic regression adjusting for site, age, sex, race/ethnicity, peak influenza activity, time to testing from, season (overall VE), and underlying conditions. VE differences (ΔVE) were assessed with 95% confidence intervals (CIs) determined through bootstrapping with significance defined as excluding the null. RESULTS The networks enrolled 14 573 (4144 influenza-positive) outpatients and 6769 (1452 influenza-positive) inpatients. Inpatients were older (median, 62 years vs 49 years) and had more high-risk conditions (median, 4 vs 1). Overall VE across seasons was 31% (95% CI, 26%-37%) among outpatients and 36% (95% CI, 27%-44%) among inpatients. Strain-specific VE (95% CI) among outpatients vs inpatients was 37% (25%-47%) vs 53% (37%-64%) against H1N1pdm09; 19% (9%-27%) vs 23% (8%-35%) against H3N2; and 46% (38%-53%) vs 46% (31%-58%) against B viruses. ΔVE was not significant for any comparison across all sites. CONCLUSIONS Inpatients and outpatients with ARI represent distinct populations. Despite comparatively poor health among inpatients, influenza vaccination was effective in preventing influenza-associated hospitalizations.
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Affiliation(s)
- Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jessie Chung
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Emily R Smith
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christopher H Trabue
- University of Tennessee Health Science Center, Saint Thomas Health, Nashville, Tennessee, USA
| | | | | | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Kempapura Murthy
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Huong Q McLean
- Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA
| | | | - Lisa A Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Michael L Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Jill M Ferdinands
- 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
| | - Manish M Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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29
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Abstract
Most currently used conventional influenza vaccines are based on 1940s technology. Advances in vaccine immunogen design and delivery emerging over the last decade promise new options for improving influenza vaccines. In addition, new technologies for immune profiling provide better-defined immune correlates of protection and precise surrogate biomarkers for vaccine evaluations. Major technological advances include single-cell analysis, high-throughput antibody discovery, next-generation sequencing of antibody gene transcripts, antibody ontogeny, structure-guided immunogen design, nanoparticle display, delivery and formulation options, and better adjuvants. In this review, we provide our prospective outlook for improved influenza vaccines in the foreseeable future.
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Affiliation(s)
- Masaru Kanekiyo
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Barney S Graham
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
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30
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Ghamande S, Shaver C, Murthy K, Raiyani C, White HD, Lat T, Arroliga AC, Wyatt D, Talbot HK, Martin ET, Monto AS, Zimmerman RK, Middleton DB, Silveira FP, Ferdinands JM, Patel MM, Gaglani M. Vaccine effectiveness against acute respiratory illness hospitalizations for influenza-associated pneumonia during the 2015-2016 to 2017-2018 seasons, US Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN). Clin Infect Dis 2021; 74:1329-1337. [PMID: 34320171 DOI: 10.1093/cid/ciab654] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Evidence for vaccine effectiveness (VE) against influenza-associated pneumonia has varied by season, location, and strain. We estimate VE against hospitalization for radiographically identified influenza-associated pneumonia during 2015-2016 to 2017-2018 seasons in the US Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN). METHODS Among adults aged ≥18 years admitted to 10 US hospitals for acute respiratory illness (ARI), clinician-investigators used keywords from reports of chest imaging performed during 3 days around hospital admission to assign a diagnosis of 'definite/probable pneumonia'. We used a test-negative design to estimate VE against hospitalization for radiographically identified laboratory-confirmed influenza-associated pneumonia, comparing RT-PCR confirmed influenza cases with test-negative subjects. Influenza vaccination status was documented in immunization records or self-reported, including date and location. Multivariable logistic regression models were used to adjust for age, site, season, calendar-time, and other factors. RESULTS Of 4,843 adults hospitalized with ARI included in the primary analysis, 266 (5.5%) had 'definite/probable pneumonia' and confirmed influenza. Adjusted VE against hospitalization for any radiographically confirmed influenza-associated pneumonia was 38% (95% confidence interval [CI]): 17%-53%); by type/subtype, it was 74% (95% CI: 52%-87%), influenza A (H1N1)pdm09; 25% (-15% to 50%), A (H3N2); and 23% (95% CI: -32% to 54%), influenza B. Adjusted VE against intensive care for any influenza was 57% (95% CI, 19%-77%). CONCLUSIONS Influenza vaccination was modestly effective among adults in preventing hospitalizations and the need for intensive care associated with influenza pneumonia. VE was significantly higher against A (H1N1)pdm09 and was low against A (H3N2) and B.
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Affiliation(s)
- Shekhar Ghamande
- Baylor Scott & White Health, Temple, TX, USA.,Texas A & M University College of Medicine, Temple, TX, USA
| | | | | | | | - Heath D White
- Baylor Scott & White Health, Temple, TX, USA.,Texas A & M University College of Medicine, Temple, TX, USA
| | - Tasnim Lat
- Baylor Scott & White Health, Temple, TX, USA.,Texas A & M University College of Medicine, Temple, TX, USA
| | - Alejandro C Arroliga
- Baylor Scott & White Health, Temple, TX, USA.,Texas A & M University College of Medicine, Temple, TX, USA
| | - Dayna Wyatt
- Vanderbilt University Medical Center; Nashville, TN, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center; Nashville, TN, USA
| | - Emily T Martin
- University of Michigan School of Public Health; Ann Arbor, MI, USA
| | - Arnold S Monto
- University of Michigan School of Public Health; Ann Arbor, MI, USA
| | - Richard K Zimmerman
- University of Pittsburgh Schools of Medicine and University of Pittsburgh Medical Center; Pittsburgh, PA, USA
| | - Donald B Middleton
- University of Pittsburgh Schools of Medicine and University of Pittsburgh Medical Center; Pittsburgh, PA, USA
| | - Fernanda P Silveira
- University of Pittsburgh Schools of Medicine and University of Pittsburgh Medical Center; Pittsburgh, PA, USA
| | - Jill M Ferdinands
- Influenza Division, US Centers for Disease Control and Prevention; Atlanta GA, USA
| | - Manish M Patel
- Influenza Division, US Centers for Disease Control and Prevention; Atlanta GA, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA.,Texas A & M University College of Medicine, Temple, TX, USA
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31
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Tenforde MW, Patel MM, Ginde AA, Douin DJ, Talbot HK, Casey JD, Mohr NM, Zepeski A, Gaglani M, McNeal T, Ghamande S, Shapiro NI, Gibbs KW, Files DC, Hager DN, Shehu A, Prekker ME, Erickson HL, Exline MC, Gong MN, Mohamed A, Henning DJ, Steingrub JS, Peltan ID, Brown SM, Martin ET, Monto AS, Khan A, Hough CT, Busse L, Lohuis CCT, Duggal A, Wilson JG, Gordon AJ, Qadir N, Chang SY, Mallow C, Gershengorn HB, Babcock HM, Kwon JH, Halasa N, Chappell JD, Lauring AS, Grijalva CG, Rice TW, Jones ID, Stubblefield WB, Baughman A, Womack KN, Lindsell CJ, Hart KW, Zhu Y, Olson SM, Stephenson M, Schrag SJ, Kobayashi M, Verani JR, Self WH. Effectiveness of SARS-CoV-2 mRNA Vaccines for Preventing Covid-19 Hospitalizations in the United States. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.07.08.21259776. [PMID: 34268515 PMCID: PMC8282104 DOI: 10.1101/2021.07.08.21259776] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background As SARS-CoV-2 vaccination coverage increases in the United States (US), there is a need to understand the real-world effectiveness against severe Covid-19 and among people at increased risk for poor outcomes. Methods In a multicenter case-control analysis of US adults hospitalized March 11 - May 5, 2021, we evaluated vaccine effectiveness to prevent Covid-19 hospitalizations by comparing odds of prior vaccination with an mRNA vaccine (Pfizer-BioNTech or Moderna) between cases hospitalized with Covid-19 and hospital-based controls who tested negative for SARS-CoV-2. Results Among 1210 participants, median age was 58 years, 22.8% were Black, 13.8% were Hispanic, and 20.6% had immunosuppression. SARS-CoV-2 lineage B.1.1.7 was most common variant (59.7% of sequenced viruses). Full vaccination (receipt of two vaccine doses ≥14 days before illness onset) had been received by 45/590 (7.6%) cases and 215/620 (34.7%) controls. Overall vaccine effectiveness was 86.9% (95% CI: 80.4 to 91.2%). Vaccine effectiveness was similar for Pfizer-BioNTech and Moderna vaccines, and highest in adults aged 18-49 years (97.3%; 95% CI: 78.9 to 99.7%). Among 45 patients with vaccine-breakthrough Covid hospitalizations, 44 (97.8%) were ≥50 years old and 20 (44.4%) had immunosuppression. Vaccine effectiveness was lower among patients with immunosuppression (59.2%; 95% CI: 11.9 to 81.1%) than without immunosuppression (91.3%; 95% CI: 85.5 to 94.7%). Conclusion During March-May 2021, SARS-CoV-2 mRNA vaccines were highly effective for preventing Covid-19 hospitalizations among US adults. SARS-CoV-2 vaccination was beneficial for patients with immunosuppression, but effectiveness was lower in the immunosuppressed population.
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Affiliation(s)
| | | | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - David J Douin
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, Colorado
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa
| | - Anne Zepeski
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas
| | - Tresa McNeal
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - D Clark Files
- 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
| | - Arber Shehu
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Matthew E Prekker
- Department of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, Minnesota
| | - Heidi L Erickson
- Department of Medicine, Hennepin County Medical Center, Minneapolis, Minnesota
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Bronx, New York
| | - Daniel J Henning
- Department of Emergency Medicine, University of Washington, Seattle, Washington
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah
| | - 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
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon
| | - C Terri Hough
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon
| | - Laurence Busse
- Department of Medicine, Emory University, Atlanta, Georgia
| | | | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California
| | - Alexandra June Gordon
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, California
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, California
| | | | | | - Hilary M Babcock
- Department of Medicine, Washington University, St. Louis, Missouri
| | - Jennie H Kwon
- Department of Medicine, Washington University, St. Louis, Missouri
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Todd W Rice
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ian D Jones
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - William B Stubblefield
- Department of Emergency Medicine, 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
| | | | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | | | | | - Wesley H Self
- Department of Emergency Medicine and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee
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32
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Martin ET, Cheng C, Petrie JG, Alyanak E, Gaglani M, Middleton DB, Ghamande S, Silveira FP, Murthy K, Zimmerman RK, Monto AS, Trabue C, Talbot HK, Ferdinands JM. Low Influenza Vaccine Effectiveness Against A(H3N2)-Associated Hospitalizations in 2016-2017 and 2017-2018 of the Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN). J Infect Dis 2021; 223:2062-2071. [PMID: 33140094 DOI: 10.1093/infdis/jiaa685] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 10/30/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The 2016-2017 and 2017-2018 influenza seasons were notable for the high number of hospitalizations for influenza A(H3N2) despite vaccine and circulating strain match. METHODS We evaluated vaccine effectiveness (VE) against hospitalization in the test-negative HAIVEN study. Nasal-throat swabs were tested by quantitative reverse transcription polymerase chain reaction (RT-PCR) for influenza and VE was determined based on odds of vaccination by generalized estimating equations. Vaccine-specific antibody was measured in a subset of enrollees. RESULTS A total of 6129 adults were enrolled from 10 hospitals. Adjusted VE against A(H3N2) was 22.8% (95% confidence interval [CI], 8.3% to 35.0%), pooled across both years and 49.4% (95% CI, 34.3% to 61.1%) against B/Yamagata. In 2017-2018, the A(H3N2) VE point estimate for the cell-based vaccine was 43.0% (95% CI, -36.3% to 76.1%; 56 vaccine recipients) compared to 24.0% (95% CI, 3.9% to 39.9%) for egg-based vaccines. Among 643 with serology data, hemagglutinin antibodies against the egg-based A(H3N2) vaccine strain were increased in influenza-negative individuals. CONCLUSIONS Low VE for the A/Hong Kong/4801/2014 vaccine virus in both A(H3N2) seasons emphasizes concerns for continued changes in H3N2 antigenic epitopes, including changes that may impact glycosylation and ultimately reduce VE.
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Affiliation(s)
- Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Caroline Cheng
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Joshua G Petrie
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Elif Alyanak
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University Health Science Center College of Medicine, Temple, Texas, USA
| | | | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University Health Science Center College of Medicine, Temple, Texas, USA
| | | | | | | | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Christopher Trabue
- Ascension Saint Thomas, Nashville, Tennessee, USA.,Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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33
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Feldstein LR, Self WH, Ferdinands JM, Randolph AG, Aboodi M, Baughman AH, Brown SM, Exline MC, Files DC, Gibbs K, Ginde AA, Gong MN, Grijalva CG, Halasa N, Khan A, Lindsell CJ, Newhams M, Peltan ID, Prekker ME, Rice TW, Shapiro NI, Steingrub J, Talbot HK, Halloran ME, Patel M. Incorporating Real-time Influenza Detection Into the Test-negative Design for Estimating Influenza Vaccine Effectiveness: The Real-time Test-negative Design (rtTND). Clin Infect Dis 2021; 72:1669-1675. [PMID: 32974644 DOI: 10.1093/cid/ciaa1453] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 09/21/2020] [Indexed: 01/17/2023] Open
Abstract
With rapid and accurate molecular influenza testing now widely available in clinical settings, influenza vaccine effectiveness (VE) studies can prospectively select participants for enrollment based on real-time results rather than enrolling all eligible patients regardless of influenza status, as in the traditional test-negative design (TND). Thus, we explore advantages and disadvantages of modifying the TND for estimating VE by using real-time, clinically available viral testing results paired with acute respiratory infection eligibility criteria for identifying influenza cases and test-negative controls prior to enrollment. This modification, which we have called the real-time test-negative design (rtTND), has the potential to improve influenza VE studies by optimizing the case-to-test-negative control ratio, more accurately classifying influenza status, improving study efficiency, reducing study cost, and increasing study power to adequately estimate VE. Important considerations for limiting biases in the rtTND include the need for comprehensive clinical influenza testing at study sites and accurate influenza tests.
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Affiliation(s)
- Leora R Feldstein
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Wesley H Self
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Adrienne G Randolph
- Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.,Departments of Anesthesia and Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Aboodi
- Division of Critical Care Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Samuel M Brown
- Division of Pulmonary/Critical Care, Department of Medicine, Intermountain Medical Center and University of Utah, Murray, Utah, USA
| | - Matthew C Exline
- The Ohio State University, College of Nursing, Columbus, Ohio, USA
| | - D Clark Files
- Pulmonary Critical Care Allergy and Immunological Diseases, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kevin Gibbs
- Pulmonary Critical Care Allergy and Immunological Diseases, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Michelle N Gong
- Division of Critical Care Medicine, Division of Pulmonary Medicine, Department of Medicine, Department of Epidemiology and Population Health, Montefiore Healthcare System, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Akram Khan
- Department of Pulmonary and Critical Care, Oregon Health and Science University, Portland, Oregon, USA
| | | | - Margaret Newhams
- Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.,Departments of Anesthesia and Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Ithan D Peltan
- Division of Pulmonary/Critical Care, Department of Medicine, Intermountain Medical Center and University of Utah, Murray, Utah, USA
| | - Matthew E Prekker
- Department of Medicine, Division of Pulmonary and Critical Care and Department of Emergency Medicine, Hennepin County Medical Center and the University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Todd W Rice
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Jay Steingrub
- Division of Critical Care Pulmonary Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - M Elizabeth Halloran
- Department of Biostatistics, University of Washington, Seattle, Washington, USA.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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34
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Feldstein LR, Ferdinands JM, Self WH, Randolph AG, Aboodi M, Baughman AH, Brown SM, Exline MC, Files DC, Gibbs K, Ginde AA, Gong MN, Grijalva CG, Halasa N, Khan A, Lindsell CJ, Newhams M, Peltan ID, Prekker ME, Rice TW, Shapiro NI, Steingrub J, Talbot HK, Halloran ME, Patel M. Modeling the impacts of clinical influenza testing on influenza vaccine effectiveness estimates. J Infect Dis 2021; 224:2035-2042. [PMID: 34013330 DOI: 10.1093/infdis/jiab273] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/14/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Test-negative design studies for evaluating influenza vaccine effectiveness (VE) enroll patients with acute respiratory infection. Enrollment typically occurs before influenza status is determined, resulting in over-enrollment of influenza-negative patients. With availability of rapid and accurate molecular clinical testing, influenza status could be ascertained prior to enrollment, thus improving study efficiency. We estimate potential biases in VE when using clinical testing. METHODS We simulate data assuming 60% vaccinated, 25% of those vaccinated are influenza positive, and VE of 50%. We show the effect on VE in five scenarios. RESULTS VE is affected only when clinical testing preferentially targets patients based on both vaccination and influenza status. VE is overestimated by 10% if non-testing occurs in 39% of vaccinated influenza-positive patients and 24% of others; and if non-testing occurs in 8% of unvaccinated influenza-positive patients and 27% of others. VE is underestimated by 10% if non-testing occurs in 32% of unvaccinated influenza-negative patients and 18% of others. CONCLUSIONS Although differential clinical testing by vaccine receipt and influenza positivity may produce errors in estimated VE, bias in testing would have to be substantial and overall proportion of patients tested would have to be small to result in a meaningful difference in VE.
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Affiliation(s)
- Leora R Feldstein
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Wesley H Self
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne G Randolph
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.,Departments of Anesthesia and Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Aboodi
- Division of Critical Care Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Samuel M Brown
- Division of Pulmonary/Critical Care, Department of Medicine, Intermountain Medical Center and University of Utah, Murray, Utah, USA
| | - Matthew C Exline
- The Ohio State University, College of Nursing, Columbus, Ohio, USA
| | - D Clark Files
- Pulmonary Critical Care Allergy and Immunological Diseases, Wake Forest School of Medicine, Winston Salem North Carolina, USA
| | - Kevin Gibbs
- Pulmonary Critical Care Allergy and Immunological Diseases, Wake Forest School of Medicine, Winston Salem North Carolina, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Michelle N Gong
- Division of Critical Care Medicine, Division of Pulmonary Medicine, Department of Medicine, Department of Epidemiology and Population Health, Montefiore Healthcare System, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Akram Khan
- Department of Pulmonary & Critical Care, Oregon Health & Science University, Portland, Oregon, USA
| | | | - Margaret Newhams
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.,Departments of Anesthesia and Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Ithan D Peltan
- Division of Pulmonary/Critical Care, Department of Medicine, Intermountain Medical Center and University of Utah, Murray, Utah, USA
| | - Matthew E Prekker
- Department of Medicine, Division of Pulmonary & Critical Care and Department of Emergency Medicine, Hennepin County Medical Center and the University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Todd W Rice
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Jay Steingrub
- Division of Critical Care Pulmonary Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - M Elizabeth Halloran
- Department of Biostatistics, University of Washington, Seattle, Washington, USA.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Ogokeh CE, Campbell AP, Feldstein LR, Weinberg GA, Staat MA, McNeal MM, Selvarangan R, Halasa NB, Englund JA, Boom JA, Azimi PH, Szilagyi PG, Harrison CJ, Williams JV, Klein EJ, Stewart LS, Sahni LC, Singer MN, Lively JY, Payne DC, Patel M. Comparison of Parental Report of Influenza Vaccination to Documented Records in Children Hospitalized With Acute Respiratory Illness, 2015-2016. J Pediatric Infect Dis Soc 2021; 10:389-397. [PMID: 33043965 PMCID: PMC9264279 DOI: 10.1093/jpids/piaa110] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 09/01/2020] [Indexed: 11/13/2022]
Abstract
BACKGROUND Parent-reported influenza vaccination history may be valuable clinically and in influenza vaccine effectiveness (VE) studies. Few studies have assessed the validity of parental report among hospitalized children. METHODS Parents of 2597 hospitalized children 6 months-17 years old were interviewed from November 1, 2015 to June 30, 2016, regarding their child's sociodemographic and influenza vaccination history. Parent-reported 2015-2016 influenza vaccination history was compared with documented vaccination records (considered the gold standard for analysis) obtained from medical records, immunization information systems, and providers. Multivariable logistic regression analyses were conducted to determine potential factors associated with discordance between the 2 sources of vaccination history. Using a test-negative design, we estimated VE using vaccination history obtained through parental report and documented records. RESULTS According to parental report, 1718 (66%) children received the 2015-2016 influenza vaccine, and of those, 1432 (83%) had documentation of vaccine receipt. Percent agreement was 87%, with a sensitivity of 96% (95% confidence interval [CI], 95%-97%) and a specificity of 74% (95% CI, 72%-77%). In the multivariable logistic regression, study site and child's age 5-8 years were significant predictors of discordance. Adjusted VE among children who received ≥1 dose of the 2015-2016 influenza vaccine per parental report was 61% (95% CI, 43%-74%), whereas VE using documented records was 55% (95% CI, 33%-69%). CONCLUSIONS Parental report of influenza vaccination was sensitive but not as specific compared with documented records. However, VE against influenza-associated hospitalizations using either source of vaccination history did not differ substantially. Parental report is valuable for timely influenza VE studies.
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Affiliation(s)
- Constance E Ogokeh
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Oak Ridge Institute for Science and Education Fellowship Program, Oak Ridge, Tennessee, USA
| | - Angela P Campbell
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Leora R Feldstein
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Geoffrey A Weinberg
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Mary A Staat
- Department of Pediatrics, University of Cincinnati College of Medicine, Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Monica M McNeal
- Department of Pediatrics, University of Cincinnati College of Medicine, Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Rangaraj Selvarangan
- Department of Pathology and Laboratory Medicine, University of Missouri-Kansas City, Children's Mercy Hospital, Kansas City, Missouri, USA
| | - Natasha B Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Janet A Englund
- Department of Pediatrics, Seattle Children's Research Institute, Seattle, Washington, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
| | - Julie A Boom
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Hospital, Houston, Texas, USA
| | - Parvin H Azimi
- Department of Infectious Diseases, University of California, San Francisco Benioff Children's Hospital Oakland, Oakland, California, USA
| | - Peter G Szilagyi
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Department of Pediatrics, UCLA Mattel Children's Hospital, University of California, Los Angeles, Los Angeles, California, USA
| | - Christopher J Harrison
- Department of Pediatrics, University of Missouri-Kansas City; Division of Infectious Diseases, Children's Mercy Hospital, Kansas City, Missouri, USA
| | - John V Williams
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Eileen J Klein
- Department of Pediatrics, Seattle Children's Research Institute, Seattle, Washington, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
| | - Laura S Stewart
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Leila C Sahni
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Hospital, Houston, Texas, USA
| | - Monica N Singer
- Department of Infectious Diseases, University of California, San Francisco Benioff Children's Hospital Oakland, Oakland, California, USA
| | - Joana Y Lively
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- IHRC Inc, Atlanta, Georgia, USA
| | - Daniel C Payne
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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36
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Doyle JD, Beacham L, Martin ET, Talbot HK, Monto A, Gaglani M, Middleton DB, Silveira FP, Zimmerman RK, Alyanak E, Smith ER, Flannery BL, Rolfes M, Ferdinands JM. Relative and Absolute Effectiveness of High-Dose and Standard-Dose Influenza Vaccine Against Influenza-Related Hospitalization Among Older Adults-United States, 2015-2017. Clin Infect Dis 2021; 72:995-1003. [PMID: 32067049 DOI: 10.1093/cid/ciaa160] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 02/13/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Seasonal influenza causes substantial morbidity and mortality in older adults. High-dose inactivated influenza vaccine (HD-IIV), with increased antigen content compared to standard-dose influenza vaccines (SD-IIV), is licensed for use in people aged ≥65 years. We sought to evaluate the effectiveness of HD-IIV and SD-IIV for prevention of influenza-associated hospitalizations. METHODS Hospitalized patients with acute respiratory illness were enrolled in an observational vaccine effectiveness study at 8 hospitals in the United States Hospitalized Adult Influenza Vaccine Effectiveness Network during the 2015-2016 and 2016-2017 influenza seasons. Enrolled patients were tested for influenza, and receipt of influenza vaccine by type was recorded. Effectiveness of SD-IIV and HD-IIV was estimated using a test-negative design (comparing odds of influenza among vaccinated and unvaccinated patients). Relative effectiveness of SD-IIV and HD-IIV was estimated using logistic regression. RESULTS Among 1487 enrolled patients aged ≥65 years, 1107 (74%) were vaccinated; 622 (56%) received HD-IIV, and 485 (44%) received SD-IIV. Overall, 277 (19%) tested positive for influenza, including 98 (16%) who received HD-IIV, 87 (18%) who received SD-IIV, and 92 (24%) who were unvaccinated. After adjusting for confounding variables, effectiveness of SD-IIV was 6% (95% confidence interval [CI] -42%, 38%) and that of HD-IIV was 32% (95% CI -3%, 54%), for a relative effectiveness of HD-IIV versus SD-IIV of 27% (95% CI -1%, 48%). CONCLUSIONS During 2 US influenza seasons, vaccine effectiveness was low to moderate for prevention of influenza hospitalization among adults aged ≥65 years. High-dose vaccine offered greater effectiveness. None of these findings were statistically significant.
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Affiliation(s)
- Joshua D Doyle
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lauren Beacham
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Battelle, Atlanta, Georgia, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Arnold Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | | | | | | | | | - Elif Alyanak
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Battelle, Atlanta, Georgia, USA
| | - Emily R Smith
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA
| | - Brendan L Flannery
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Melissa Rolfes
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jill M Ferdinands
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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37
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Chung JR, Rolfes MA, Flannery B, Prasad P, O'Halloran A, Garg S, Fry AM, Singleton JA, Patel M, Reed C. Effects of Influenza Vaccination in the United States During the 2018-2019 Influenza Season. Clin Infect Dis 2021; 71:e368-e376. [PMID: 31905401 DOI: 10.1093/cid/ciz1244] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 01/02/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Multivalent influenza vaccine products provide protection against influenza A(H1N1)pdm09, A(H3N2), and B lineage viruses. The 2018-2019 influenza season in the United States included prolonged circulation of A(H1N1)pdm09 viruses well-matched to the vaccine strain and A(H3N2) viruses, the majority of which were mismatched to the vaccine. We estimated the number of vaccine-prevented influenza-associated illnesses, medical visits, hospitalizations, and deaths for the season. METHODS We used a mathematical model and Monte Carlo algorithm to estimate numbers and 95% uncertainty intervals (UIs) of influenza-associated outcomes prevented by vaccination in the United States. The model incorporated age-specific estimates of national 2018-2019 influenza vaccine coverage, influenza virus-specific vaccine effectiveness from the US Influenza Vaccine Effectiveness Network, and disease burden estimated from population-based rates of influenza-associated hospitalizations through the Influenza Hospitalization Surveillance Network. RESULTS Influenza vaccination prevented an estimated 4.4 million (95%UI, 3.4 million-7.1 million) illnesses, 2.3 million (95%UI, 1.8 million-3.8 million) medical visits, 58 000 (95%UI, 30 000-156 000) hospitalizations, and 3500 (95%UI, 1000-13 000) deaths due to influenza viruses during the US 2018-2019 influenza season. Vaccination prevented 14% of projected hospitalizations associated with A(H1N1)pdm09 overall and 43% among children aged 6 months-4 years. CONCLUSIONS Influenza vaccination averted substantial influenza-associated disease including hospitalizations and deaths in the United States, primarily due to effectiveness against A(H1N1)pdm09. Our findings underscore the value of influenza vaccination, highlighting that vaccines measurably decrease illness and associated healthcare utilization even in a season in which a vaccine component does not match to a circulating virus.
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Affiliation(s)
- Jessie R Chung
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Melissa A Rolfes
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Pragati Prasad
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA
| | - Alissa O'Halloran
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Alicia M Fry
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - James A Singleton
- Immunization Services Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Carrie Reed
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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38
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Verschoor CP, Andrew MK, Loeb M, Pawelec G, Haynes L, Kuchel GA, McElhaney JE. Antibody and Cell-Mediated Immune Responses Are Correlates of Protection against Influenza Infection in Vaccinated Older Adults. Vaccines (Basel) 2021; 9:vaccines9010025. [PMID: 33430191 PMCID: PMC7825602 DOI: 10.3390/vaccines9010025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 12/21/2020] [Accepted: 01/04/2021] [Indexed: 12/29/2022] Open
Abstract
Despite efforts to design better vaccines for older adults, the risk for serious complications of influenza remains disproportionately high. Identifying correlates of vaccine effectiveness and understanding the heterogeneity of health outcomes in older adults are key to the vaccine development pipeline. We sought correlates of protection against laboratory-confirmed influenza illness (LCII) in a 4-year randomized trial of standard versus high-dose influenza vaccination of adults 65 years and older. To this end, we quantified serum hemagglutination-inhibition (HAI) titers and interferon-gamma (IFNγ) and interleukin-10 (IL-10) secretion by virus-challenged peripheral blood mononuclear cells. Of the 608 participants included, 26 developed either A/H3N2-(n = 17) or B-LCII (n = 9) at 10-20 weeks post-vaccination. Antibody titres for A/H3N2 at 4-weeks post-vaccination were significantly associated with protection against LCII, where every 1-standard deviation increase reduced the odds of A/H3N2-LCII by 53%. Although B-titres did not correlate with protection against B-LCII, the fold-increase in IFNγ:IL-10 ratios from pre- to 4-weeks post-vaccination was significantly associated with protection against B-LCII, where every 1-standard deviation increase reduced the odds by 71%. Our results suggest that both antibody and cell-mediated immune measures are valuable and potentially complementary correlates of protection against LCII in vaccinated older adults, although this may depend on the viral type causing infection.
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Affiliation(s)
- Chris P. Verschoor
- Health Sciences North Research Institute, Sudbury, ON P3E 5J1, Canada; (G.P.); (J.E.M.)
- Northern Ontario School of Medicine, Sudbury, ON P3E 2C6, Canada
- Correspondence:
| | - Melissa K. Andrew
- Department of Medicine (Geriatrics), Dalhousie University, Halifax, NS B3H 2E1, Canada;
| | - Mark Loeb
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada;
| | - Graham Pawelec
- Health Sciences North Research Institute, Sudbury, ON P3E 5J1, Canada; (G.P.); (J.E.M.)
- Department of Immunology, University of Tübingen, 72074 Tübingen, Germany
| | - Laura Haynes
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT 06030, USA; (L.H.); (G.A.K.)
| | - George A. Kuchel
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT 06030, USA; (L.H.); (G.A.K.)
| | - Janet E. McElhaney
- Health Sciences North Research Institute, Sudbury, ON P3E 5J1, Canada; (G.P.); (J.E.M.)
- Northern Ontario School of Medicine, Sudbury, ON P3E 2C6, Canada
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39
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Hughes K, Middleton DB, Nowalk MP, Balasubramani GK, Martin ET, Gaglani M, Talbot HK, Patel MM, Ferdinands JM, Zimmerman RK, Silveira FP. Effectiveness of Influenza Vaccine for Preventing Laboratory-Confirmed Influenza Hospitalizations in Immunocompromised Adults. Clin Infect Dis 2021; 73:e4353-e4360. [PMID: 33388741 DOI: 10.1093/cid/ciaa1927] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Yearly influenza immunization is recommended for immunocompromised (IC) individuals, although immune responses are lower than that for the non-immunocompromised and the data on vaccine effectiveness (VE) in the IC is scarce. We evaluated VE against influenza-associated hospitalization among IC adults. METHODS We analyzed data from adults ≥ 18 years hospitalized with acute respiratory illness (ARI) during the 2017-2018 influenza season at 10 hospitals in the United States. IC adults were identified using pre-specified case-definitions, utilizing electronic medical record data. VE was evaluated with a test-negative case-control design using multivariable logistic regression with PCR-confirmed influenza as the outcome and vaccination status as the exposure, adjusting for age, enrolling site, illness onset date, race, days from onset to specimen collection, self-reported health, and self-reported hospitalizations. RESULTS Of 3,524 adults hospitalized with ARI, 1,210 (34.3%) had an immunocompromising condition. IC adults were more likely to be vaccinated than non-IC (69.5% vs 65.2%), and less likely to have influenza (22% vs 27.8%). The mean age did not differ among IC and non-IC (61.4 vs 60.8 years old). The overall VE against influenza hospitalization, including immunocompetent adults, was 33% (95% CI, 21% to 44%). VE among IC vs non-IC adults was lower at 5% (-29% to 31%) vs. 41% (27% to 52%) (p<0.05 for interaction term). CONCLUSIONS VE in one influenza season was very low among IC individuals. Future efforts should include evaluation of VE among the different immunocompromising conditions and whether enhanced vaccines improve the suboptimal effectiveness among the immunocompromised.
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Affiliation(s)
- Kailey Hughes
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Donald B Middleton
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, TX, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manish M Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Richard K Zimmerman
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,University of Pittsburgh, Pittsburgh, PA, USA
| | - Fernanda P Silveira
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,University of Pittsburgh, Pittsburgh, PA, USA
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40
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Suryadevara M. Vaccine Confidence and Vaccine Hesitancy. Vaccines (Basel) 2021. [DOI: 10.1007/978-3-030-58414-6_38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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41
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Ferdinands JM, Gaglani M, Ghamande S, Martin ET, Middleton D, Monto AS, Silveira F, Talbot HK, Zimmerman R, Smith ER, Patel M. Vaccine Effectiveness Against Influenza-Associated Hospitalizations Among Adults, 2018-2019, US Hospitalized Adult Influenza Vaccine Effectiveness Network. J Infect Dis 2020; 224:151-163. [PMID: 33336702 DOI: 10.1093/infdis/jiaa772] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 12/14/2020] [Indexed: 01/18/2023] Open
Abstract
We estimated vaccine effectiveness (VE) for prevention of influenza-associated hospitalizations among adults during the 2018-2019 influenza season. Adults admitted with acute respiratory illness to 14 hospitals of the US Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) and testing positive for influenza were cases; patients testing negative were controls. VE was estimated using logistic regression and inverse probability of treatment weighting. We analyzed data from 2863 patients with a mean age of 63 years. Adjusted VE against influenza A(H1N1)pdm09-associated hospitalization was 51% (95% confidence interval [CI], 25%-68%). Adjusted VE against influenza A(H3N2) virus-associated hospitalization was -2% (95% CI, -65% to 37%) and differed significantly by age, with VE of -130% (95% CI, -374% to -27%) among adults 18 to ≤56 years of age. Although vaccination halved the risk of influenza A(H1N1)pdm09-associated hospitalizations, it conferred no protection against influenza A(H3N2)-associated hospitalizations. We observed negative VE for young and middle-aged adults but cannot exclude residual confounding as a potential explanation.
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Affiliation(s)
- Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Donald Middleton
- University of Pittsburgh Medical Center; Pittsburgh, Pennsylvania, USA
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Fernanda Silveira
- University of Pittsburgh Medical Center; Pittsburgh, Pennsylvania, USA
| | - Helen K Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Richard Zimmerman
- University of Pittsburgh Medical Center; Pittsburgh, Pennsylvania, USA
| | - Emily R Smith
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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42
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Meurens F. Flu RNA Vaccine: A Game Changer? Vaccines (Basel) 2020; 8:vaccines8040760. [PMID: 33327386 PMCID: PMC7768426 DOI: 10.3390/vaccines8040760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 12/09/2020] [Accepted: 12/10/2020] [Indexed: 11/16/2022] Open
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43
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Cates J, Lucero-Obusan C, Dahl RM, Schirmer P, Garg S, Oda G, Hall AJ, Langley G, Havers FP, Holodniy M, Cardemil CV. Risk for In-Hospital Complications Associated with COVID-19 and Influenza - Veterans Health Administration, United States, October 1, 2018-May 31, 2020. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT 2020; 69:1528-1534. [PMID: 33090987 PMCID: PMC7583498 DOI: 10.15585/mmwr.mm6942e3] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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44
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Kao CM, Lai K, McAteer JM, Elmontser M, Quincer EM, Yee MEM, Tippet A, Jerris RC, Lane PA, Anderson EJ, Bakshi N, Yildirim I. Influenza vaccine effectiveness and disease burden in children and adolescents with sickle cell disease: 2012-2017. Pediatr Blood Cancer 2020; 67:e28358. [PMID: 32469138 PMCID: PMC8221251 DOI: 10.1002/pbc.28358] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 03/16/2020] [Accepted: 03/31/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Data are limited on the burden of influenza and seasonal influenza vaccine effectiveness (VE) in children with sickle cell disease (SCD). METHODS We used a prospectively collected clinical registry of SCD patients 6 months to 21 years of age to determine the influenza cases per 100 patient-years, vaccination rates, and a test-negative case-control study design to estimate influenza VE against medically attended laboratory-confirmed influenza infection. Influenza-positive cases were randomly matched to test-negative controls on age and influenza season in 1:1 ratio. We used adjusted logistic regression models to compare odds ratio (OR) of vaccination in cases to controls. We calculated VE as [100% × (1 - adjusted OR)] and computed 95% confidence intervals (CIs) around the estimate. RESULTS There were 1037 children with SCD who were tested for influenza, 307 children (29.6%) had at least one influenza infection (338 infections, incidence rate 3.7 per 100 person-years; 95% CI, 3.4-4.1) and 56.2% of those tested received annual influenza vaccine. Overall VE pooled over five seasons was 22.3% (95% CI, -7.3% to 43.7%). Adjusted VE estimates ranged from 39.7% (95% CI, -70.1% to 78.6%) in 2015/2016 to -5.9% (95% CI, -88.4% to 40.4%) in the 2016/17 seasons. Influenza VE varied by age and was highest in children 1-5 years of age (66.6%; 95% CI, 30.3-84.0). Adjusted VE against acute chest syndrome during influenza infection was 39.4% (95% CI, -113.0 to 82.8%). CONCLUSIONS Influenza VE in patients with SCD varies by season and age. Multicenter prospective studies are needed to better establish and monitor influenza VE among children with SCD.
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Affiliation(s)
- Carol M Kao
- Emory University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Atlanta, GA
| | - Kristina Lai
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta, GA
| | - John M McAteer
- Emory University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Atlanta, GA
| | - Mohnd Elmontser
- Emory University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Atlanta, GA
| | - Elizabeth M Quincer
- Emory University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Atlanta, GA
| | - Marianne EM Yee
- Emory University School of Medicine, Department of Pediatrics, Division of Hematology/Oncology, Atlanta, GA.,Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta, GA
| | - Ashley Tippet
- Emory University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Atlanta, GA
| | - Robert C Jerris
- Emory University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Atlanta, GA
| | - Peter A Lane
- Emory University School of Medicine, Department of Pediatrics, Division of Hematology/Oncology, Atlanta, GA.,Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta, GA
| | - Evan J Anderson
- Emory University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Atlanta, GA
| | - Nitya Bakshi
- Emory University School of Medicine, Department of Pediatrics, Division of Hematology/Oncology, Atlanta, GA.,Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta, GA
| | - Inci Yildirim
- Emory University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Atlanta, GA.,Department of Epidemiology, Rollins School of Public Health, Atlanta, GA
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45
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Lees C, Godin J, McElhaney JE, McNeil SA, Loeb M, Hatchette TF, LeBlanc J, Bowie W, Boivin G, McGeer A, Poirier A, Powis J, Semret M, Webster D, Andrew MK. Frailty Hinders Recovery From Influenza and Acute Respiratory Illness in Older Adults. J Infect Dis 2020. [PMID: 32147711 DOI: 10.1093/infdis/jiaa092[publishedonlinefirst:2020/03/10]] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND We examined frailty as a predictor of recovery in older adults hospitalized with influenza and acute respiratory illness. METHODS A total of 5011 patients aged ≥65 years were admitted to Canadian Serious Outcomes Surveillance Network hospitals during the 2011/2012, 2012/2013, and 2013/2014 influenza seasons. Frailty was measured using a previously validated frailty index (FI). Poor recovery was defined as death by 30 days postdischarge or an increase of more than 0.06 (≥2 persistent new health deficits) on the FI. Multivariable logistic regression controlled for age, sex, season, influenza diagnosis, and influenza vaccination status. RESULTS Mean age was 79.4 (standard deviation = 8.4) years; 53.1% were women. At baseline, 15.0% (n = 750) were nonfrail, 39.3% (n = 1971) were prefrail, 39.8% (n = 1995) were frail, and 5.9% (n = 295) were most frail. Poor recovery was experienced by 21.4%, 52.0% of whom had died. Frailty was associated with lower odds of recovery in all 3 seasons: 2011/2012 (odds ratio [OR] = 0.70; 95% confidence interval [CI], 0.59-0.84), 2012/2013 (OR = 0.72; 95% CI, 0.66-0.79), and 2013/2014 (OR = 0.75; 95% CI, 0.69-0.82); results varied by season, influenza status, vaccination status, and age. CONCLUSIONS Increasing frailty is associated with lower odds of recovery, and persistent worsening frailty is an important adverse outcome of acute illness.
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Affiliation(s)
- Caitlin Lees
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Judith Godin
- Geriatric Medicine Research, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Shelly A McNeil
- Department of Medicine (Infectious Diseases), Dalhousie University, Halifax, Nova Scotia, Canada
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Mark Loeb
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Todd F Hatchette
- Department of Medicine (Infectious Diseases), Dalhousie University, Halifax, Nova Scotia, Canada
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jason LeBlanc
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Pathology and Laboratory Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - William Bowie
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Guy Boivin
- Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada
| | | | - André Poirier
- Centre Intégré Universitaire de Santé et Services Sociaux, Quebec City, Quebec, Canada
| | - Jeff Powis
- Michael Garron Hospital, Toronto, Ontario, Canada
| | | | - Duncan Webster
- Saint John Hospital Regional Hospital, Dalhousie University, New Brunswick, Canada
| | - Melissa K Andrew
- Geriatric Medicine Research, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
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46
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Lees C, Godin J, McElhaney JE, McNeil SA, Loeb M, Hatchette TF, LeBlanc J, Bowie W, Boivin G, McGeer A, Poirier A, Powis J, Semret M, Webster D, Andrew MK. Frailty Hinders Recovery From Influenza and Acute Respiratory Illness in Older Adults. J Infect Dis 2020; 222:428-437. [PMID: 32147711 PMCID: PMC7336554 DOI: 10.1093/infdis/jiaa092] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 03/03/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND We examined frailty as a predictor of recovery in older adults hospitalized with influenza and acute respiratory illness. METHODS A total of 5011 patients aged ≥65 years were admitted to Canadian Serious Outcomes Surveillance Network hospitals during the 2011/2012, 2012/2013, and 2013/2014 influenza seasons. Frailty was measured using a previously validated frailty index (FI). Poor recovery was defined as death by 30 days postdischarge or an increase of more than 0.06 (≥2 persistent new health deficits) on the FI. Multivariable logistic regression controlled for age, sex, season, influenza diagnosis, and influenza vaccination status. RESULTS Mean age was 79.4 (standard deviation = 8.4) years; 53.1% were women. At baseline, 15.0% (n = 750) were nonfrail, 39.3% (n = 1971) were prefrail, 39.8% (n = 1995) were frail, and 5.9% (n = 295) were most frail. Poor recovery was experienced by 21.4%, 52.0% of whom had died. Frailty was associated with lower odds of recovery in all 3 seasons: 2011/2012 (odds ratio [OR] = 0.70; 95% confidence interval [CI], 0.59-0.84), 2012/2013 (OR = 0.72; 95% CI, 0.66-0.79), and 2013/2014 (OR = 0.75; 95% CI, 0.69-0.82); results varied by season, influenza status, vaccination status, and age. CONCLUSIONS Increasing frailty is associated with lower odds of recovery, and persistent worsening frailty is an important adverse outcome of acute illness.
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Affiliation(s)
- Caitlin Lees
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Judith Godin
- Geriatric Medicine Research, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Shelly A McNeil
- Department of Medicine (Infectious Diseases), Dalhousie University, Halifax, Nova Scotia, Canada
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Mark Loeb
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Todd F Hatchette
- Department of Medicine (Infectious Diseases), Dalhousie University, Halifax, Nova Scotia, Canada
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jason LeBlanc
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Pathology and Laboratory Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - William Bowie
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Guy Boivin
- Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada
| | | | - André Poirier
- Centre Intégré Universitaire de Santé et Services Sociaux, Quebec City, Quebec, Canada
| | - Jeff Powis
- Michael Garron Hospital, Toronto, Ontario, Canada
| | | | - Duncan Webster
- Saint John Hospital Regional Hospital, Dalhousie University, New Brunswick, Canada
| | - Melissa K Andrew
- Geriatric Medicine Research, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
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47
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Chow EJ, Rolfes MA, Carrico RL, Furmanek S, Ramirez JA, Ferdinands JM, Fry AM, Patel MM. Vaccine Effectiveness Against Influenza-Associated Lower Respiratory Tract Infections in Hospitalized Adults, Louisville, Kentucky, 2010-2013. Open Forum Infect Dis 2020; 7:ofaa262. [PMID: 32715020 DOI: 10.1093/ofid/ofaa262] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 06/23/2020] [Indexed: 01/09/2023] Open
Abstract
Background Preventing severe complications of influenza such as hospitalization is a public health priority; however, estimates of influenza vaccine effectiveness (VE) against influenza-associated acute lower respiratory tract infection (LRTI) hospitalizations are limited. We examined influenza VE against influenza-associated LRTIs in hospitalized adult patients. Methods We retrospectively analyzed data from a randomized trial of oseltamivir treatment in adults hospitalized with LRTI in Louisville, Kentucky, from 2010 to 2013. Patients were systematically tested for influenza at the time of enrollment. We estimated VE as 1 - the adjusted odds ratio (aOR) of antecedent vaccination in influenza-positives vs negatives × 100%. Vaccination status was obtained by patient self-report. Using logistic regression adjusting for age, sex, season, timing of illness, history of chronic lung disease, and activities of daily living, we estimated VE against hospitalized influenza-associated LRTIs and community-acquired pneumonia (CAP) with radiographic findings of infiltrate. Results Of 810 patients with LRTI (median age, 62 years), 184 (23%) were influenza-positive and 57% had radiographically confirmed CAP. Among influenza-positives and -negatives, respectively, 61% and 69% were vaccinated. Overall, 29% were hospitalized in the prior 90 days and >80% had comorbidities. Influenza-negatives were more likely to have a history of chronic obstructive pulmonary disease than influenza-positives (59% vs 48%; P = .01), but baseline medical conditions were otherwise similar. Overall, VE was 35% (95% CI, 4% to 56%) against influenza-associated LRTI and 51% (95% CI, 13% to 72%) against influenza-associated radiographically confirmed CAP. Conclusions Vaccination reduced the risk of hospitalization for influenza-associated LRTI and radiographically confirmed CAP. Clinicians should maintain high rates of influenza vaccination to prevent severe influenza-associated complications.
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Affiliation(s)
- Eric J Chow
- Epidemic Intelligence Service, Center for Surveillance, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Melissa A Rolfes
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ruth L Carrico
- Division of Infectious Diseases, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Stephen Furmanek
- Division of Infectious Diseases, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Julio A Ramirez
- Division of Infectious Diseases, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Jill M Ferdinands
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Alicia M Fry
- 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
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48
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Segaloff HE, Cheng B, Miller AV, Petrie JG, Malosh RE, Cheng C, Lauring AS, Lamerato LE, Ferdinands JM, Monto AS, Martin ET. Influenza Vaccine Effectiveness in the Inpatient Setting: Evaluation of Potential Bias in the Test-Negative Design by Use of Alternate Control Groups. Am J Epidemiol 2020; 189:250-260. [PMID: 31673696 DOI: 10.1093/aje/kwz248] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 10/08/2019] [Accepted: 10/15/2019] [Indexed: 11/13/2022] Open
Abstract
The test-negative design is validated in outpatient, but not inpatient, studies of influenza vaccine effectiveness. The prevalence of chronic pulmonary disease among inpatients can lead to nonrepresentative controls. Test-negative design estimates are biased if vaccine administration is associated with incidence of noninfluenza viruses. We evaluated whether control group selection and effects of vaccination on noninfluenza viruses biased vaccine effectiveness in our study. Subjects were enrolled at the University of Michigan and Henry Ford hospitals during the 2014-2015 and 2015-2016 influenza seasons. Patients presenting with acute respiratory infection were enrolled and tested for respiratory viruses. Vaccine effectiveness was estimated using 3 control groups: negative for influenza, positive for other respiratory virus, and pan-negative individuals; it was also estimated for other common respiratory viruses. In 2014-2015, vaccine effectiveness was 41.1% (95% CI: 1.7, 64.7) using influenza-negative controls, 24.5% (95% CI: -42.6, 60.1) using controls positive for other virus, and 45.8% (95% CI: 5.7, 68.9) using pan-negative controls. In 2015-2016, vaccine effectiveness was 68.7% (95% CI: 44.6, 82.5) using influenza-negative controls, 63.1% (95% CI: 25.0, 82.2) using controls positive for other virus, and 71.1% (95% CI: 46.2, 84.8) using pan-negative controls. Vaccination did not alter odds of other respiratory viruses. Results support use of the test-negative design among inpatients.
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Affiliation(s)
- Hannah E Segaloff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Bonnie Cheng
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Andrew V Miller
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Joshua G Petrie
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Ryan E Malosh
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Caroline Cheng
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Adam S Lauring
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan
- Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Lois E Lamerato
- Department of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan
| | - Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Arnold S Monto
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Emily T Martin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
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49
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Chow EJ, Rolfes MA, O’Halloran A, Alden NB, Anderson EJ, Bennett NM, Billing L, Dufort E, Kirley PD, George A, Irizarry L, Kim S, Lynfield R, Ryan P, Schaffner W, Talbot HK, Thomas A, Yousey-Hindes K, Reed C, Garg S. Respiratory and Nonrespiratory Diagnoses Associated With Influenza in Hospitalized Adults. JAMA Netw Open 2020; 3:e201323. [PMID: 32196103 PMCID: PMC7084169 DOI: 10.1001/jamanetworkopen.2020.1323] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
IMPORTANCE Seasonal influenza virus infection is a major cause of morbidity and mortality and may be associated with respiratory and nonrespiratory diagnoses. OBJECTIVE To examine the respiratory and nonrespiratory diagnoses reported for adults hospitalized with laboratory-confirmed influenza between 2010 and 2018 in the United States. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study used data from the US Influenza Hospitalization Surveillance Network (FluSurv-NET) from October 1 through April 30 of the 2010-2011 through 2017-2018 influenza seasons. FluSurv-NET is a population-based, multicenter surveillance network with a catchment area that represents approximately 9% of the US population. Patients are identified by practitioner-ordered influenza testing. Adults (aged ≥18 years) hospitalized with laboratory-confirmed influenza were included in the study. EXPOSURES FluSurv-NET defines laboratory-confirmed influenza as a positive influenza test result by rapid antigen assay, reverse transcription-polymerase chain reaction, direct or indirect fluorescent staining, or viral culture. MAIN OUTCOMES AND MEASURES Acute respiratory or nonrespiratory diagnoses were defined using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) discharge diagnosis codes. The analysis included calculation of the frequency of acute respiratory and nonrespiratory diagnoses with a descriptive analysis of patient demographic characteristics, underlying medical conditions, and in-hospital outcomes by respiratory and nonrespiratory diagnoses. RESULTS Of 89 999 adult patients hospitalized with laboratory-confirmed influenza, 76 649 (median age, 69 years; interquartile range, 55-82 years; 55% female) had full medical record abstraction and at least 1 ICD code for an acute diagnosis. In this study, 94.9% of patients had a respiratory diagnosis and 46.5% had a nonrespiratory diagnosis, including 5.1% with only nonrespiratory diagnoses. Pneumonia (36.3%), sepsis (23.3%), and acute kidney injury (20.2%) were the most common acute diagnoses. Fewer patients with only nonrespiratory diagnoses received antiviral therapy for influenza compared with those with respiratory diagnoses (81.4% vs 88.9%; P < .001). CONCLUSIONS AND RELEVANCE Nonrespiratory diagnoses occurred frequently among adults hospitalized with influenza, further contributing to the burden of infection in the United States. The findings suggest that during the influenza season, practitioners should consider influenza in their differential diagnosis for patients who present to the hospital with less frequently recognized manifestations and initiate early antiviral treatment for patients with suspected or confirmed infection.
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Affiliation(s)
- Eric J. Chow
- Epidemic Intelligence Service, Center for Surveillance, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Melissa A. Rolfes
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Alissa O’Halloran
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Nisha B. Alden
- Communicable Disease Branch, Colorado Department of Public Health and Environment, Denver
| | - Evan J. Anderson
- Departments of Medicine and Pediatrics, Emory University School of Medicine, Atlanta, Georgia
- Emerging Infections Program, Atlanta, Georgia
- Veterans Affairs Medical Center, Atlanta, Georgia
| | - Nancy M. Bennett
- Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Laurie Billing
- Bureau of Infectious Diseases, Ohio Department of Health, Columbus
| | | | | | - Andrea George
- Salt Lake County Health Department, Salt Lake City, Utah
| | | | - Sue Kim
- Communicable Disease Division, Michigan Department of Health and Human Services, Lansing
| | | | | | - William Schaffner
- Division of Infectious Disease, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - H. Keipp Talbot
- Division of Infectious Disease, Vanderbilt University School of Medicine, Nashville, Tennessee
| | | | | | - Carrie Reed
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Shikha Garg
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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50
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A Rare Complication of Seasonal Influenza: Case Report and a Brief Review of the Literature. AMERICAN JOURNAL OF MEDICAL CASE REPORTS 2020; 8:293-298. [PMID: 32775632 PMCID: PMC7413175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Acute viral myositis is a rare condition that is commonly defined with influenza A, B, and enterovirus in the United States of America. Viral myositis complicated by rhabdomyolysis is even less common but requires prompt attention and diagnosis to prevent complications. We describe the occurrence of acute viral myositis complicated by rhabdomyolysis in a young 43-year-old man that lead to acute renal failure. It also highlights that clinicians should keep in mind that viral upper respiratory infections can be complicated with various clinical manifestations that could extend beyond respiratory symptoms.
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