1
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Mangas-Moro A, Zamarrón E, Carpio C, Álvarez-Sala R, Arribas-López JR, Prados C. Influenza vaccination mitigates severe complications in hospitalized patients: A ten-year observational study, Spain, 2009-2019. Am J Infect Control 2024; 52:563-569. [PMID: 38007099 DOI: 10.1016/j.ajic.2023.11.009] [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: 08/25/2023] [Revised: 11/18/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Influenza epidemics annually impact a substantial portion of adults worldwide, leading to numerous hospitalizations and fatalities. While the primary goal of vaccination is to prevent influenza virus infection, breakthrough infections can still occur despite vaccination. Evaluating the vaccine effectiveness in preventing severe cases among hospitalized patients is crucial for enhancing vaccination strategies. METHODS This single-center, observational, cross-sectional, and retrospective study analyzed data from 1,357 patients admitted to La Paz University Hospital for influenza infection between 2009 and 2019. Patients' demographics, clinical variables, comorbidities, vaccination status, and influenza-related outcomes were assessed. Logistic regression analysis was performed to determine the vaccine-independent protective effects. RESULTS Influenza vaccination independently prevented severe complications, including pneumonia, bacterial superinfection, acute respiratory distress syndrome, and multiple organ failure in hospitalized patients (odds ratio = 0.61, 95% confidence interval: 0.47-0.76). Vaccinated patients had significantly lower intensive care unit admission rates (odds ratio = 0.42, 95% confidence interval: 0.18-0.92). However, there were no significant differences in mortality rates between vaccinated and unvaccinated patients (P = .385). CONCLUSIONS Our study provides robust evidence supporting the influenza vaccine protective effect against severe outcomes in hospitalized patients during epidemic flu. Vaccination is associated with a significant reduction in severe complications and intensive care unit admissions, emphasizing its importance as a preventive measure. Improving vaccination coverage, especially in specific comorbidities and age groups, could further enhance the vaccine effectiveness in preventing severe influenza cases.
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Affiliation(s)
- Alberto Mangas-Moro
- Respiratory Medicine Service, La Paz University Hospital, Autónoma de Madrid University, IdiPAZ, CIBERES, Madrid, Spain.
| | - Ester Zamarrón
- Respiratory Medicine Service, La Paz University Hospital, Autónoma de Madrid University, IdiPAZ, CIBERES, Madrid, Spain
| | - Carlos Carpio
- Respiratory Medicine Service, La Paz University Hospital, Autónoma de Madrid University, IdiPAZ, CIBERES, Madrid, Spain
| | - Rodolfo Álvarez-Sala
- Respiratory Medicine Service, La Paz University Hospital, Autónoma de Madrid University, IdiPAZ, CIBERES, Madrid, Spain
| | - José R Arribas-López
- Internal Medicine Service, Infectious Disease Unit, La Paz University Hospital, Autónoma de Madrid University, IdiPAZ, Madrid, Spain
| | - Concepción Prados
- Respiratory Medicine Service, La Paz University Hospital, Autónoma de Madrid University, IdiPAZ, CIBERES, Madrid, Spain
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2
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Chronic obstructive pulmonary disease and influenza vaccination effect in preventing outpatient and inpatient influenza cases. Sci Rep 2022; 12:4862. [PMID: 35318406 PMCID: PMC8940916 DOI: 10.1038/s41598-022-08952-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 03/10/2022] [Indexed: 11/08/2022] Open
Abstract
Evidence of influenza vaccine effectiveness in preventing confirmed influenza among persons diagnosed with chronic obstructive pulmonary disease (COPD) is scarce. We assessed the average effect of influenza vaccination in the current and prior seasons in preventing laboratory-confirmed influenza in COPD patients. We carried out a pooled test-negative case–control design in COPD patients hospitalized or presented to primary healthcare centres with influenza-like illness who were tested for influenza in 2015/2016 to 2019/2020 seasons in Navarre, Spain. Influenza vaccination status in the current and 5 prior seasons was compared between confirmed-influenza cases and test-negative controls. Vaccination effect was compared between target patients for vaccination with and without COPD. Out of 1761 COPD patients tested, 542 (31%) were confirmed for influenza and 1219 were test-negative controls. Average effect for current-season vaccination in preventing influenza was 40% (95% CI 20–54%), and for vaccination in prior seasons only was 24% (95% CI –10 to 47%). Point estimates seemed higher in preventing outpatient cases (60% and 58%, respectively) than inpatient cases (37% and 19%, respectively), but differences were no statistically significant. Influenza vaccination effect was similar in target population with and without COPD (p = 0.339). Influenza vaccination coverage in control patients with COPD was 68.3%. A 13.7% of the influenza cases in patients with COPD could be prevented by extending the influenza vaccine coverage. Average effect of current-season influenza vaccination was moderate to prevent influenza in COPD persons. The increase of influenza vaccination coverage can still prevent COPD exacerbations.
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3
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Martínez-Baz I, Navascués A, Casado I, Aguinaga A, Ezpeleta C, Castilla J. Simple models to include influenza vaccination history when evaluating the effect of influenza vaccination. ACTA ACUST UNITED AC 2021; 26. [PMID: 34387185 PMCID: PMC8365179 DOI: 10.2807/1560-7917.es.2021.26.32.2001099] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Background Most reports of influenza vaccine effectiveness consider current-season vaccination only. Aim We evaluated a method to estimate the effect of influenza vaccinations (EIV) considering vaccination history. Methods We used a test-negative design with well-documented vaccination history to evaluate the average EIV over eight influenza seasons (2011/12–2018/19; n = 10,356). Modifying effect was considered as difference in effects of vaccination in current and previous seasons and current-season vaccination only. We also explored differences between current-season estimates excluding from the reference category people vaccinated in any of the five previous seasons and estimates without this exclusion or only for one or three previous seasons. Results The EIV was 50%, 45% and 38% in people vaccinated in the current season who had previously received none, one to two and three to five doses, respectively, and it was 30% and 43% for one to two and three to five prior doses only. Vaccination in at least three previous seasons reduced the effect of current-season vaccination by 12 percentage points overall, 31 among outpatients, 22 in 9–65 year-olds, and 23 against influenza B. Including people vaccinated in previous seasons only in the unvaccinated category underestimated EIV by 9 percentage points on average (31% vs 40%). Estimates considering vaccination of three or five previous seasons were similar. Conclusions Vaccine effectiveness studies should consider influenza vaccination in previous seasons, as it can retain effect and is often an effect modifier. Vaccination status in three categories (current season, previous seasons only, unvaccinated) reflects the whole EIV.
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Affiliation(s)
- Iván Martínez-Baz
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Pamplona, Spain.,Instituto de Salud Pública de Navarra, Pamplona, Spain
| | - Ana Navascués
- Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Itziar Casado
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Pamplona, Spain.,Instituto de Salud Pública de Navarra, Pamplona, Spain
| | - Aitziber Aguinaga
- Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Carmen Ezpeleta
- Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Jesús Castilla
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Pamplona, Spain.,Instituto de Salud Pública de Navarra, Pamplona, Spain
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4
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Martínez-Baz I, Navascués A, Casado I, Portillo ME, Guevara M, Gómez-Ibáñez C, Burgui C, Ezpeleta C, Castilla J. Effect of influenza vaccination in patients with asthma. CMAJ 2021; 193:E1120-E1128. [PMID: 34312165 PMCID: PMC8321300 DOI: 10.1503/cmaj.201757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/13/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND: Although annual influenza vaccination is recommended for persons with asthma, its effectiveness in this patient population is not well described. We evaluated the effect of influenza vaccination in the current and previous seasons in preventing influenza among people with asthma. METHODS: Using population health data from the Navarre region of Spain for the 2015/16 to 2019/20 influenza seasons, we conducted a test-negative case–control study to assess the effect of influenza vaccination in the current and 5 previous seasons. From patients presenting to hospitals and primary health care centres with influenza-like illness who underwent testing for influenza, we estimated the effects of influenza vaccination among patients with asthma overall and between those presenting as inpatients or outpatients, as well as between patients with and without asthma. RESULTS: Of 1032 patients who had asthma and were tested, we confirmed that 421 had influenza and the remaining 611 were test-negative controls. We found that the average effect of influenza vaccination was 43% (adjusted odds ratio [OR] 0.57, 95% confidence interval [CI] 0.40 to 0.80) for current-season vaccination regardless of previous doses, and 38% (adjusted OR 0.62, 95% CI 0.39 to 0.96) for vaccination in previous seasons only. Effects were similar for outpatients and inpatients. Among patients with asthma and confirmed influenza, current-season vaccination did not reduce the odds of hospital admission (adjusted OR 1.05, 95% CI 0.51 to 2.18). Influenza vaccination effects were similar for patients with and without asthma. INTERPRETATION: We estimated that, on average, current or previous influenza vaccination of people with asthma prevented almost half of influenza cases. These results support recommendations that people with asthma receive influenza vaccination.
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Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Ana Navascués
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - María Eugenia Portillo
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Marcela Guevara
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Carlos Gómez-Ibáñez
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Cristina Burgui
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Carmen Ezpeleta
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain.
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5
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Martínez-Baz I, Navascués A, Portillo ME, Casado I, Fresán U, Ezpeleta C, Castilla J. Effect of Influenza Vaccination in Preventing Laboratory-Confirmed Influenza Hospitalization in Patients With Diabetes Mellitus. Clin Infect Dis 2021; 73:107-114. [PMID: 32412600 DOI: 10.1093/cid/ciaa564] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 05/08/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND People with diabetes are at high risk of severe influenza complications. The influenza vaccination effect among diabetic patients remains inconclusive. We estimated the average effect of influenza vaccination status in the current and prior seasons in preventing laboratory-confirmed influenza hospitalization in diabetic patients. METHODS Patients attended in hospitals and primary healthcare centers with influenza-like illness were tested for influenza from the 2013-2014 to 2018-2019 seasons in Navarre, Spain. A test-negative case-control design in diabetic inpatients compared the influenza vaccination status in the current and 5 prior seasons between laboratory-confirmed influenza cases and negative controls. Vaccination status of influenza-confirmed cases was compared between diabetic inpatients and outpatients. Influenza vaccination effect was compared between diabetic patients and older (≥ 60 years) or chronic nondiabetic patients. RESULTS Of 1670 diabetic inpatients tested, 569 (34%) were confirmed for influenza and 1101 were test-negative controls. The average effect in preventing influenza hospitalization was 46% (95% confidence interval [CI], 28%-59%) for current-season vaccination and 44% (95% CI, 20%-61%) for vaccination in prior seasons only in comparison to unvaccinated patients in the current and prior seasons. Among diabetic patients with confirmed influenza, current-season vaccination reduced the probability of hospitalization (adjusted odds ratio, 0.35; 95% CI, .15-.79). In diabetic patients, vaccination effect against influenza hospitalizations was not inferior to that in older or chronic nondiabetic patients. CONCLUSIONS On average, influenza vaccination of diabetic population reduced by around half the risk of influenza hospitalization. Vaccination in prior seasons maintained a notable protective effect. These results reinforce the recommendation of influenza vaccination for diabetic patients.
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Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ana Navascués
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - María Eugenia Portillo
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ujué Fresán
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carmen Ezpeleta
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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6
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Abstract
Seasonal influenza kills many hundreds of thousands of people every year. We argue that the current pandemic has lessons we should learn concerning how we should respond to it. Our response to the COVID-19 not only provides us with tools for confronting influenza; it also changes our sense of what is possible. The recognition of how dramatic policy responses to COVID-19 were and how widespread their general acceptance has been allowed us to imagine new and more sweeping responses to influenza. In fact, we not only can grasp how we can reduce its toll; this new knowledge entails new responsibilities to do so. We outline a range of potential interventions to alter social norms and to change structures to reduce influenza transmission, and consider ethical objections to our proposals.
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Affiliation(s)
- Neil Levy
- Uehiro Centre for Practical Ethics, University of Oxford
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7
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Martínez-Baz I, Navascués A, Casado I, Aguinaga A, Ezpeleta C, Castilla J. Remaining Effect of Influenza Vaccines Received in Prior Seasons. J Infect Dis 2020; 220:1136-1140. [PMID: 31107953 DOI: 10.1093/infdis/jiz266] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 05/18/2019] [Indexed: 11/14/2022] Open
Abstract
This study evaluates the remaining effect of influenza vaccines received in the 5 prior seasons. During 7 influenza seasons, 8933 patients were enrolled and 47% were confirmed for influenza. Compared with unvaccinated individuals in the current and 5 prior seasons, vaccination was protective when the last dose had been received in the current season (40% [95% confidence interval {CI}, 32%-47%]), and 1 (42% [95% CI, 27%-54%]), 2-3 (35% [95% CI, 16%-49%]), or 4-5 seasons (31% [95% CI, 4%-51%]) prior. This effect lasted for fewer seasons in the elderly and in patients with chronic conditions. On average, several recent prior doses were as protective as current-season vaccination.
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Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid
| | - Ana Navascués
- Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid
| | | | | | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid
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8
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Castilla J, Portillo ME, Casado I, Pozo F, Navascués A, Adelantado M, Gómez Ibáñez C, Ezpeleta C, Martínez-Baz I. Effectiveness of the current and prior influenza vaccinations in Northern Spain, 2018–2019. Vaccine 2020; 38:1925-1932. [DOI: 10.1016/j.vaccine.2020.01.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 01/07/2020] [Accepted: 01/08/2020] [Indexed: 10/25/2022]
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9
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Chua H, Feng S, Lewnard JA, Sullivan SG, Blyth CC, Lipsitch M, Cowling BJ. The Use of Test-negative Controls to Monitor Vaccine Effectiveness: A Systematic Review of Methodology. Epidemiology 2020; 31:43-64. [PMID: 31609860 PMCID: PMC6888869 DOI: 10.1097/ede.0000000000001116] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND The test-negative design is an increasingly popular approach for estimating vaccine effectiveness (VE) due to its efficiency. This review aims to examine published test-negative design studies of VE and to explore similarities and differences in methodological choices for different diseases and vaccines. METHODS We conducted a systematic search on PubMed, Web of Science, and Medline, for studies reporting the effectiveness of any vaccines using a test-negative design. We screened titles and abstracts and reviewed full texts to identify relevant articles. We created a standardized form for each included article to extract information on the pathogen of interest, vaccine(s) being evaluated, study setting, clinical case definition, choices of cases and controls, and statistical approaches used to estimate VE. RESULTS We identified a total of 348 articles, including studies on VE against influenza virus (n = 253), rotavirus (n = 48), pneumococcus (n = 24), and nine other pathogens. Clinical case definitions used to enroll patients were similar by pathogens of interest but the sets of symptoms that defined them varied substantially. Controls could be those testing negative for the pathogen of interest, those testing positive for nonvaccine type of the pathogen of interest, or a subset of those testing positive for alternative pathogens. Most studies controlled for age, calendar time, and comorbidities. CONCLUSIONS Our review highlights similarities and differences in the application of the test-negative design that deserve further examination. If vaccination reduces disease severity in breakthrough infections, particular care must be taken in interpreting vaccine effectiveness estimates from test-negative design studies.
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Affiliation(s)
- Huiying Chua
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Shuo Feng
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Joseph A Lewnard
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA
| | - Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Doherty Department, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher C Blyth
- Division of Paediatrics, School of Medicine, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
- Department of Infectious Diseases, Perth Children's Hospital, Perth, Western Australia, Australia
| | - Marc Lipsitch
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Benjamin J Cowling
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
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10
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Saito N, Komori K, Suzuki M, Kishikawa T, Yasaka T, Ariyoshi K. Dose-Dependent Negative Effects of Prior Multiple Vaccinations Against Influenza A and Influenza B Among Schoolchildren: A Study of Kamigoto Island in Japan During the 2011-2012, 2012-2013, and 2013-2014 Influenza Seasons. Clin Infect Dis 2019. [PMID: 29528389 DOI: 10.1093/cid/ciy202] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Background We investigated the negative effects of prior multiple vaccinations on influenza vaccine effectiveness (VE) and analyzed the association of VE with prior vaccine doses. Methods Patients aged 9-18 years presenting with influenza-like illness at a community hospital on a remote Japanese island during the 2011-2012, 2012-2013, and 2013-2014 influenza seasons were tested for influenza using a rapid diagnostic test (RDT). A test-negative, case-control study design was used to estimate the VEs of trivalent inactivated influenza vaccine. Histories of vaccination and medically attended influenza (MA-flu) A and B during 3 previous seasons were collected from registry systems. VE was calculated using multilevel mixed-effects logistic regression models adjusted for the history of RDT-confirmed MA-flu. Results During 3 influenza seasons, 1668 influenza-like illness episodes were analyzed, including 421 and 358 episodes of MA-fluA and MA-fluB, respectively. The adjusted VE (95% confidence interval) yielded significant dose-dependent attenuations by prior vaccinations against both MA-fluA (0 doses during previous 3 seasons: 96% [69%-100%], 1 dose: 48% [-7% to 74%], 2 doses: 52% [11%-74%], 3 doses: 21% [-25% to 51%]; P for trend < .05) and MA-fluB (0 doses: 66% [-5% to 89%], 1 dose: 48% [-14% to 76%], 2 doses: 34% [-33% to 67%], 3 doses: -7% [-83% to 37%]; P for trend < .05). After excluding episodes of MA-flu during prior 3 seasons, similar trends were observed. Conclusions Repeated previous vaccinations over multiple seasons had significant dose-dependent negative impacts on VE against both MA-fluA and MA-fluB. Further studies to confirm this finding are necessary.
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Affiliation(s)
- Nobuo Saito
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki, Japan.,School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | | | - Motoi Suzuki
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki, Japan.,School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | | | | | - Koya Ariyoshi
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki, Japan.,School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
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11
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Godoy P, Romero A, Soldevila N, Torner N, Jané M, Martínez A, Caylà JA, Rius C, Domínguez A. Influenza vaccine effectiveness in reducing severe outcomes over six influenza seasons, a case-case analysis, Spain, 2010/11 to 2015/16. ACTA ACUST UNITED AC 2019; 23. [PMID: 30376915 PMCID: PMC6208006 DOI: 10.2807/1560-7917.es.2018.23.43.1700732] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction When influenza vaccination is ineffective in preventing influenza virus infection, it may still reduce the severity of influenza-associated disease. Here, we estimate the effect of influenza vaccination in preventing severe outcomes e.g. intensive care unit (ICU) admission and death, even though it did not prevent influenza virus infection and subsequent hospitalisation. Methods An observational case–case epidemiological study was carried out in 12 sentinel hospitals in Catalonia (Spain) over six influenza seasons 2010/11–2015/16. Cases were individuals with severe laboratory-confirmed influenza virus infection and aged 18 years and older. For each reported case we collected demographic, virological and clinical characteristics. Logistic regression was used to estimate the crude, adjusted odd ratios (aOR) and 95% confidence intervals (CI). Results Of 1,727 hospitalised patients included in the study, 799 were female (46.7%), 591 (34.2%) were admitted to the ICU and 223 (12.9%) died. Influenza vaccination uptake was lower in cases that required ICU admission or died (21.2% vs 29.7%, p < 0.001). The adjusted influenza vaccination effectiveness in preventing ICU admission or death was 23% (95% CI: 1 to 40). In an analysis restricted to sex, age group and antiviral treatment, influenza vaccination had a positive effect on disease severity in all age groups and categories. Conclusions We found that influenza vaccination reduced the severity of disease even in cases where it did not prevent infection and influenza-associated hospitalisation. Therefore, increased vaccination uptake may reduce complications, ICU admission and death.
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Affiliation(s)
- Pere Godoy
- IRBLleida. Institut de Recerca Biomèdica de Lleida, Lleida, Spain.,CIBER Epidemiología y Salud Pública, Barcelona, Spain.,Agència de Salut Pública de Catalunya, Barcelona, Spain
| | | | - Núria Soldevila
- Universitat de Barcelona, Barcelona, Spain.,CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Nuria Torner
- Universitat de Barcelona, Barcelona, Spain.,CIBER Epidemiología y Salud Pública, Barcelona, Spain.,Agència de Salut Pública de Catalunya, Barcelona, Spain
| | - Mireia Jané
- CIBER Epidemiología y Salud Pública, Barcelona, Spain.,Agència de Salut Pública de Catalunya, Barcelona, Spain
| | - Ana Martínez
- CIBER Epidemiología y Salud Pública, Barcelona, Spain.,Agència de Salut Pública de Catalunya, Barcelona, Spain
| | - Joan A Caylà
- TB Research Unit Foundation (fuiTB), Barcelona, Spain
| | - Cristina Rius
- Agència de Salut Pública de Barcelona, Barcelona, Spain.,CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Angela Domínguez
- Universitat de Barcelona, Barcelona, Spain.,CIBER Epidemiología y Salud Pública, Barcelona, Spain
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12
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Ramsay LC, Buchan SA, Stirling RG, Cowling BJ, Feng S, Kwong JC, Warshawsky BF. The impact of repeated vaccination on influenza vaccine effectiveness: a systematic review and meta-analysis. BMC Med 2019; 17:9. [PMID: 30626399 PMCID: PMC6327561 DOI: 10.1186/s12916-018-1239-8] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 12/12/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Conflicting results regarding the impact of repeated vaccination on influenza vaccine effectiveness (VE) may cause confusion regarding the benefits of receiving the current season's vaccine. METHODS We systematically searched MEDLINE, Embase, PubMed, and Cumulative Index to Nursing and Allied Health Literature from database inception to August 17, 2016, for observational studies published in English that reported VE against laboratory-confirmed influenza for the following four vaccination groups: current season only, prior season only, both seasons, and neither season. We pooled differences in VE (∆VE) between vaccination groups by influenza season and type/subtype using a random-effects model. The study protocol is registered with PROSPERO (registration number: CRD42016037241). RESULTS We identified 3435 unique articles, reviewed the full text of 634, and included 20 for meta-analysis. Compared to prior season vaccination only, vaccination in both seasons was associated with greater protection against influenza H1N1 (∆VE = 25%; 95% CI 14%, 35%) and B (∆VE = 18%; 95% CI 3%, 33%), but not H3N2 (∆VE = 7%; 95% CI - 7%, 21%). Compared to no vaccination for either season, individuals who received the current season's vaccine had greater protection against H1N1 (∆VE = 62%; 95% CI 51%, 70%), H3N2 (∆VE = 45%; 95% CI 35%, 53%), and B (∆VE = 64%; 95% CI 57%, 71%). We observed no differences in VE between vaccination in both seasons and the current season only for H1N1 (∆VE = 3%; 95% CI - 8%, 13%), but less protection against influenza H3N2 (∆VE = - 20%; 95% CI - 36%, - 4%), and B (∆VE = - 11%; 95% CI - 20%, - 2%). CONCLUSIONS Our results support current season vaccination regardless of prior season vaccination because VE for vaccination in the current season only is higher compared to no vaccination in either season for all types/subtypes, and for H1N1 and influenza B, vaccination in both seasons provides better VE than vaccination in the prior season only. Although VE was lower against H3N2 and B for individuals vaccinated in both seasons compared to those vaccinated in the current season only, it should be noted that past vaccination history cannot be altered and this comparison disregards susceptibility to influenza during the prior season among those vaccinated in the current season only. In addition, our results for H3N2 were particularly influenced by the 2014-2015 influenza season and the impact of repeated vaccination for all types/subtypes may vary from season to season. It is important that future VE studies include vaccination history over multiple seasons to evaluate repeated vaccination in more detail.
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Affiliation(s)
- Lauren C. Ramsay
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
| | - Sarah A. Buchan
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
| | - Robert G. Stirling
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- Public Health Agency of Canada, 130 Colonnade Road, Ottawa, Ontario K1A 0K9 Canada
| | - Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Shuo Feng
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Jeffrey C. Kwong
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- Institute for Clinical Evaluative Sciences, Veterans Hill Trail, 2075 Bayview Avenue G1 06, Toronto, Ontario M4N 3M5 Canada
- Department of Family & Community Medicine, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- University Health Network, 399 Bathurst St, Toronto, Ontario M5T 2S8 Canada
| | - Bryna F. Warshawsky
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Department of Epidemiology and Biostatistics, Western University, 1151 Richmond St, London, Ontario N6A 3K7 Canada
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13
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Castilla J, Martínez-Baz I, Navascués A, Casado I, Aguinaga A, Díaz-González J, Delfrade J, Guevara M, Ezpeleta C. Comparison of influenza vaccine effectiveness in preventing outpatient and inpatient influenza cases in older adults, northern Spain, 2010/11 to 2015/16. ACTA ACUST UNITED AC 2019; 23. [PMID: 29338809 PMCID: PMC5770851 DOI: 10.2807/1560-7917.es.2018.23.2.16-00780] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
We compared trivalent inactivated influenza vaccine effectiveness (VE) in preventing outpatient and inpatient influenza cases in Navarre, Spain. Methods: During seasons 2010/11 to 2015/16, community-dwelling patients with influenza-like illness aged 50 years or older were tested for influenza when attended by sentinel general practitioners or admitted to hospitals. The test–negative design was used to estimate and compare the VE by healthcare setting. Results: We compared 1,242 laboratory-confirmed influenza cases (557 outpatient and 685 inpatient cases) and 1,641 test-negative controls. Influenza VE was 34% (95% confidence interval (CI): 6 to 54) in outpatients and 32% (95% CI: 15 to 45) in inpatients. VE in outpatients and inpatients was, respectively, 41% (95% CI: –1 to 65) and 36% (95% CI: 12 to 53) against A(H1N1)pdm09, 5% (95% CI: –58 to 43) and 22% (95% CI: –9 to 44) against A(H3N2), and 49% (95% CI, 6 to 73) and 37% (95% CI: 2 to 59) against influenza B. Trivalent inactivated influenza vaccine was not associated with a different probability of hospitalisation among influenza cases, apart from a 54% (95% CI: 10 to 76) reduction in hospitalisation of influenza A(H3N2) cases. Conclusions: On average, influenza VE was moderate and similar in preventing outpatient and inpatient influenza cases over six influenza seasons in patients above 50 years of age. In some instances of low VE, vaccination may still reduce the risk of hospitalisation in older adults with vaccine failure.
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Affiliation(s)
- Jesús Castilla
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Iván Martínez-Baz
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Ana Navascués
- Complejo Hospitalario de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Itziar Casado
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Aitziber Aguinaga
- Complejo Hospitalario de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Jorge Díaz-González
- Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Josu Delfrade
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Marcela Guevara
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Carmen Ezpeleta
- Complejo Hospitalario de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
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- The members of the networks are listed at the end of the article
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- The members of the networks are listed at the end of the article
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14
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Valenciano M, Kissling E, Larrauri A, Nunes B, Pitigoi D, O'Donnell J, Reuss A, Horváth JK, Paradowska‐Stankiewicz I, Rizzo C, Falchi A, Daviaud I, Brytting M, Meijer A, Kaic B, Gherasim A, Machado A, Ivanciuc A, Domegan L, Schweiger B, Ferenczi A, Korczyńska M, Bella A, Vilcu A, Mosnier A, Zakikhany K, de Lange M, Kurečić Filipovićović S, Johansen K, Moren A. Exploring the effect of previous inactivated influenza vaccination on seasonal influenza vaccine effectiveness against medically attended influenza: Results of the European I-MOVE multicentre test-negative case-control study, 2011/2012-2016/2017. Influenza Other Respir Viruses 2018; 12:567-581. [PMID: 29659149 PMCID: PMC6086844 DOI: 10.1111/irv.12562] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Results of previous influenza vaccination effects on current season influenza vaccine effectiveness (VE) are inconsistent. OBJECTIVES To explore previous influenza vaccination effects on current season VE among population targeted for vaccination. METHODS We used 2011/2012 to 2016/2017 I-MOVE primary care multicentre test-negative data. For each season, we compared current season adjusted VE (aVE) between individuals vaccinated and unvaccinated in previous season. Using unvaccinated in both seasons as a reference, we then compared aVE between vaccinated in both seasons, current only, and previous only. RESULTS We included 941, 2645 and 959 influenza-like illness patients positive for influenza A(H1N1)pdm09, A(H3N2) and B, respectively, and 5532 controls. In 2011/2012, 2014/2015 and 2016/2017, A(H3N2) aVE point estimates among those vaccinated in previous season were -68%, -21% and -19%, respectively; among unvaccinated in previous season, these were 33%, 48% and 46%, respectively (aVE not computable for influenza A(H1N1)pdm09 and B). Compared to current season vaccination only, VE for both seasons' vaccination was (i) similar in two of four seasons for A(H3N2) (absolute difference [ad] 6% and 8%); (ii) lower in three of four seasons for influenza A(H1N1)pdm09 (ad 18%, 26% and 29%), in two seasons for influenza A(H3N2) (ad 27% and 39%) and in two of three seasons for influenza B (ad 26% and 37%); (iii) higher in one season for influenza A(H1N1)pdm09 (ad 20%) and influenza B (ad 24%). CONCLUSIONS We did not identify any pattern of previous influenza vaccination effect. Prospective cohort studies documenting influenza infections, vaccinations and vaccine types are needed to understand previous influenza vaccinations' effects.
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Affiliation(s)
| | | | - Amparo Larrauri
- National Centre of EpidemiologyInstitute of Health Carlos IIIMadridSpain
| | - Baltazar Nunes
- Department of EpidemiologyInstituto Nacional de Saúde, Doctor Ricardo JorgeLisboaPortugal
| | - Daniela Pitigoi
- University of Medicine and Pharmacy Carol DavilaBucharestRomania
- Cantacuzino InstituteNational Institute of Research – Development for Microbiology and ImmunologyBucharestRomania
| | - Joan O'Donnell
- Health Service Executive – Health Protection Surveillance CentreDublinIreland
| | - Annicka Reuss
- Department for Infectious Disease EpidemiologyRobert Koch InstituteBerlinGermany
| | - Judit Krisztina Horváth
- Department of Disease Prevention and SurveillanceNational Centre for EpidemiologyBudapestHungary
| | | | - Caterina Rizzo
- National Center for Epidemiology, Surveillance and Health PromotionIstituto Superiore di SanitàRomeItaly
| | | | | | - Mia Brytting
- The Public Health Agency of SwedenStockholmSweden
| | - Adam Meijer
- Centre for Infectious Disease ControlNational Institute of Public Health and Environment (RIVM)BilthovenThe Netherlands
| | | | - Alin Gherasim
- National Centre of EpidemiologyInstitute of Health Carlos IIIMadridSpain
| | - Ausenda Machado
- Department of EpidemiologyInstituto Nacional de Saúde, Doctor Ricardo JorgeLisboaPortugal
| | - Alina Ivanciuc
- Cantacuzino InstituteNational Institute of Research – Development for Microbiology and ImmunologyBucharestRomania
| | - Lisa Domegan
- Health Service Executive – Health Protection Surveillance CentreDublinIreland
| | - Brunhilde Schweiger
- Department for Infectious Disease EpidemiologyRobert Koch InstituteBerlinGermany
| | - Annamária Ferenczi
- Department of Disease Prevention and SurveillanceNational Centre for EpidemiologyBudapestHungary
| | - Monika Korczyńska
- National Institute of Public Health – National Institute of HygieneWarsawPoland
| | - Antonino Bella
- National Center for Epidemiology, Surveillance and Health PromotionIstituto Superiore di SanitàRomeItaly
| | - Ana‐Maria Vilcu
- Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136)UPMC Univ Paris 06, INSERMSorbonne UniversitésParisFrance
| | | | | | - Marit de Lange
- Centre for Infectious Disease ControlNational Institute of Public Health and Environment (RIVM)BilthovenThe Netherlands
| | | | - Kari Johansen
- European Centre for Disease Prevention and Control (ECDC)StockholmSweden
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15
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Domínguez A, Soldevila N, Toledo D, Godoy P, Espejo E, Fernandez MA, Mayoral JM, Castilla J, Egurrola M, Tamames S, Astray J, Morales-Suárez-Varela M. The effectiveness of influenza vaccination in preventing hospitalisations of elderly individuals in two influenza seasons: a multicentre case-control study, Spain, 2013/14 and 2014/15. ACTA ACUST UNITED AC 2018; 22. [PMID: 28857047 PMCID: PMC5753443 DOI: 10.2807/1560-7917.es.2017.22.34.30602] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 01/10/2017] [Indexed: 11/20/2022]
Abstract
Influenza vaccination may limit the impact of influenza in the community. The aim of this study was to assess the effectiveness of influenza vaccination in preventing hospitalisation in individuals aged ≥ 65 years in Spain. A multicentre case–control study was conducted in 20 Spanish hospitals during 2013/14 and 2014/15. Patients aged ≥ 65 years who were hospitalised with laboratory-confirmed influenza were matched with controls according to sex, age and date of hospitalisation. Adjusted vaccine effectiveness (VE) was calculated by multivariate conditional logistic regression. A total of 728 cases and 1,826 matched controls were included in the study. Overall VE was 36% (95% confidence interval (CI): 22–47). VE was 51% (95% CI: 15–71) in patients without high-risk medical conditions and 30% (95% CI: 14–44) in patients with them. VE was 39% (95% CI: 20–53) in patients aged 65–79 years and 34% (95% CI: 11–51) in patients aged ≥ 80 years, and was greater against the influenza A(H1N1)pdm09 subtype than the A(H3N2) subtype. Influenza vaccination was effective in preventing hospitalisations of elderly individuals.
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Affiliation(s)
- Angela Domínguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Departament de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Núria Soldevila
- Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Diana Toledo
- Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Pere Godoy
- Institut de Recerca Biomèdica de Lleida, Universitat de Lleida, Lleida, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Agència de Salut Pública de Catalunya, Barcelona, Spain
| | | | | | | | - Jesús Castilla
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra (IdiSNA), Pamplona, Spain
| | | | - Sonia Tamames
- Dirección General de Salud Pública, Investigación, Desarrollo e Innovación, Junta de Castilla y León, León, Spain
| | | | - María Morales-Suárez-Varela
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Departamento de Medicina Preventiva, Universidad de Valencia, Valencia, Spain
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- The members of the Working Group are listed at the end of the article
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16
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Ramsay LC, Buchan SA, Stirling RG, Cowling BJ, Feng S, Kwong JC, Warshawsky BF. The impact of repeated vaccination on influenza vaccine effectiveness: a systematic review and meta-analysis. BMC Med 2017; 15:159. [PMID: 28823248 PMCID: PMC5563917 DOI: 10.1186/s12916-017-0919-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Accepted: 07/27/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Conflicting results regarding the impact of repeated vaccination on influenza vaccine effectiveness (VE) may cause confusion regarding the benefits of receiving the current season's vaccine. METHODS We systematically searched MEDLINE, Embase, PubMed, and Cumulative Index to Nursing and Allied Health Literature from database inception to August 17, 2016, for observational studies published in English that reported VE against laboratory-confirmed influenza for four vaccination groups, namely current season only, prior season only, both seasons, and neither season. We pooled differences in VE (∆VE) between vaccination groups by influenza season and type/subtype using a random effects model. The study protocol is registered with PROSPERO (registration number: CRD42016037241). RESULTS We identified 3435 unique articles, reviewed the full text of 634, and included 20 for meta-analysis. Compared to prior season vaccination only, vaccination in both seasons was associated with greater protection against influenza H1N1 (∆VE = 26%; 95% CI, 15% to 36%) and B (∆VE = 24%; 95% CI, 7% to 42%), but not H3N2 (∆VE = 10%; 95% CI, -6% to 25%). Compared to no vaccination for either season, individuals who received the current season's vaccine had greater protection against H1N1 (∆VE = 61%; 95% CI, 50% to 70%), H3N2 (∆VE = 41%; 95% CI, 33% to 48%), and B (∆VE = 62%; 95% CI, 54% to 68%). We observed no differences in VE between vaccination in both seasons and the current season only for H1N1 (∆VE = 4%; 95% CI, -7% to 15%), H3N2 (∆VE = -12%; 95% CI, -27% to 4%), or B (∆VE = -8%; 95% CI, -17% to 1%). CONCLUSIONS From the patient perspective, our results support current season vaccination regardless of prior season vaccination. We found no overall evidence that prior season vaccination negatively impacts current season VE. It is important that future VE studies include vaccination history over multiple seasons in order to evaluate repeated vaccination in more detail.
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Affiliation(s)
- Lauren C. Ramsay
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
| | - Sarah A. Buchan
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
| | - Robert G. Stirling
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- Public Health Agency of Canada, 130 Colonnade Road, Ottawa, Ontario K1A 0K9 Canada
| | - Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Shuo Feng
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Jeffrey C. Kwong
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- Institute for Clinical Evaluative Sciences, Veterans Hill Trail, 2075 Bayview Avenue G1 06, Toronto, Ontario M4N 3M5 Canada
- Department of Family & Community Medicine, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- University Health Network, 399 Bathurst St, Toronto, Ontario M5T 2S8 Canada
| | - Bryna F. Warshawsky
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Department of Epidemiology and Biostatistics, Western University, 1151 Richmond St, London, Ontario N6A 3K7 Canada
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17
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Martínez-Baz I, Casado I, Navascués A, Díaz-González J, Aguinaga A, Barrado L, Delfrade J, Ezpeleta C, Castilla J. Effect of Repeated Vaccination With the Same Vaccine Component Against 2009 Pandemic Influenza A(H1N1) Virus. J Infect Dis 2017; 215:847-855. [PMID: 28453845 DOI: 10.1093/infdis/jix055] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 01/24/2017] [Indexed: 11/14/2022] Open
Abstract
Background The 2009 pandemic influenza A(H1N1) (A[H1N1]pdm09) vaccine component has remained unchanged from 2009. We estimate the effectiveness of current and prior inactivated influenza A(H1N1)pdm09 vaccination from influenza seasons 2010-2011 to 2015-2016. Methods Patients attended with influenza-like illness were tested for influenza. Four periods with continued A(H1N1)pdm09 circulation were included in a test-negative design. Results We enrolled 1278 cases and 2343 controls. As compared to individuals never vaccinated against influenza A(H1N1)pdm09, the highest effectiveness (66%; 95% confidence interval, 49%-78%) was observed in those vaccinated in the current season who had received 1-2 prior doses. The effectiveness was not statistically lower in individuals vaccinated in the current season only (52%) or in those without current vaccination and >2 prior doses (47%). However, the protection was lower in individuals vaccinated in the current season after >2 prior doses (38%; P = .009) or those currently unvaccinated with 1-2 prior doses (10%; P < .001). Current-season vaccination improved the effect in individuals with 1-2 prior doses and did not modify significantly the risk of influenza in individuals with >2 prior doses. Conclusion Current vaccination or several prior doses were needed for high protection. Despite the decreasing effect of repeated vaccination, current-season vaccination was not inferior to no current-season vaccination.
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Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ana Navascués
- Complejo Hospitalario de Navarra, IdiSNA, Pamplona, Spain
| | - Jorge Díaz-González
- Instituto de Salud Pública de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | | | | | - Josu Delfrade
- Instituto de Salud Pública de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Jesús Castilla
- Instituto de Salud Pública de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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18
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Castilla J, Navascués A, Casado I, Díaz-González J, Pérez-García A, Fernandino L, Martínez-Baz I, Aguinaga A, Pozo F, Ezpeleta C, Primary Health Care Sentinel Network And The Network For Influenza Surveillance In Hospitals Of Navarre. Combined effectiveness of prior and current season influenza vaccination in northern Spain: 2016/17 mid-season analysis. ACTA ACUST UNITED AC 2017; 22. [PMID: 28230523 PMCID: PMC5322189 DOI: 10.2807/1560-7917.es.2017.22.7.30465] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 02/16/2017] [Indexed: 12/15/2022]
Abstract
The 2016/17 mid-season vaccine effectiveness estimate against influenza A(H3N2) was 15% (95% confidence interval: −11 to 35) in Navarre. Comparing to individuals unvaccinated in the current and four prior seasons, effectiveness was 24% for current and 3–4 prior doses, 61% for current and 1–2 prior doses, 42% for only current vaccination, and 58% for 3–4 prior doses. This suggests moderate effectiveness for different combinations of vaccination in the current and prior seasons.
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Affiliation(s)
- Jesús Castilla
- Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Ana Navascués
- Complejo Hospitalario de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Jorge Díaz-González
- Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Alejandra Pérez-García
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Complejo Hospitalario de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Leticia Fernandino
- Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Iván Martínez-Baz
- Instituto de Salud Pública de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Aitziber Aguinaga
- Complejo Hospitalario de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
| | - Francisco Pozo
- Centro Nacional de Microbiología (WHO National Influenza Centre - Madrid), Instituto de Salud Carlos III, Majadahonda, Spain
| | - Carmen Ezpeleta
- Complejo Hospitalario de Navarra, IdiSNA - Navarre Institute for Health Research, Pamplona, Spain
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19
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Leung VKY, Carolan LA, Worth LJ, Harper SA, Peck H, Tilmanis D, Laurie KL, Slavin MA, Sullivan SG. Influenza vaccination responses: Evaluating impact of repeat vaccination among health care workers. Vaccine 2017; 35:2558-2568. [PMID: 28385605 DOI: 10.1016/j.vaccine.2017.03.063] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Revised: 03/16/2017] [Accepted: 03/20/2017] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To compare the antibody response to influenza between health care workers (HCWs) who have received multiple vaccinations (high vaccination group) and those who have received fewer vaccinations (low vaccination group). DESIGN Prospective serosurvey. SETTING Tertiary referral hospital. PARTICIPANTS Healthcare workers. METHODS Healthcare workers were vaccinated with the 2015 southern hemisphere trivalent influenza vaccine. Influenza antibody titres were measured pre-vaccination, 21-28days post-vaccination and 6months post-vaccination. Antibody titres were measured using the haemagglutination inhibition assay. Levels of seropositivity and estimated geometric mean titres were calculated. RESULTS Of the 202 HCWs enrolled, 182 completed the study (143 high vaccination and 39 low vaccination). Both vaccination groups demonstrated increases in post-vaccination geometric mean titres, with greater gains in the low vaccination group. Seropositivity remained high in both high and low vaccination groups post-vaccination. The highest fold rise was observed among HCWs in the low vaccination group against the H3N2 component of the vaccine. CONCLUSIONS Both high and low vaccination groups in our study demonstrated protective antibody titres post-vaccination. The findings from the current study are suggestive of decreased serological response among highly vaccinated HCWs. More studies with larger sample sizes and a greater number of people in the vaccine-naïve and once-vaccinated groups are required to confirm or refute these findings before making any policy changes.
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Affiliation(s)
- Vivian K Y Leung
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, VIC 3000, Australia; Department of Infectious Diseases/Infection Prevention, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia
| | - Louise A Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, VIC 3000, Australia
| | - Leon J Worth
- Department of Infectious Diseases/Infection Prevention, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia
| | - Susan A Harper
- Department of Infectious Diseases/Infection Prevention, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia
| | - Heidi Peck
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, VIC 3000, Australia
| | - Danielle Tilmanis
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, VIC 3000, Australia
| | - Karen L Laurie
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, VIC 3000, Australia
| | - Monica A Slavin
- Department of Infectious Diseases/Infection Prevention, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia
| | - Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, VIC 3000, Australia; Fielding School of Public Health, University of California, Los Angeles, USA; School of Population and Global Health, University of Melbourne, Melbourne, Australia.
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20
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Torner N, Navas E, Soldevila N, Toledo D, Navarro G, Morillo A, Pérez MJ, Domínguez A. Costs associated with influenza-related hospitalization in the elderly. Hum Vaccin Immunother 2017; 13:412-416. [PMID: 27925855 PMCID: PMC5328227 DOI: 10.1080/21645515.2017.1264829] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
Seasonal influenza epidemics remain a considerable burden in adults, especially in those at higher risk of complications. The aim of this study was to determine the costs associated with influenza-related hospitalization in patients aged ≥65 y admitted to 20 hospitals from 7 Spanish regions during the 2013-14 and 2014-15 influenza seasons. Bivariate analysis was used to compare costs in vaccinated and unvaccinated cases. Costs were calculated according to the Spanish National Health System diagnosis-related group tables for influenza and other respiratory system conditions (GRD 89 and GRD 101). A total of 728 confirmed influenza cases were recorded: 52.9% were male, 46.7% were aged 75-84 years, and 49.3% received influenza vaccine ≥15 d prior to hospital admission. Influenza-related mean hospitalization costs (MHC) were € 1,184,808 in unvaccinated and € 1,152,333 in vaccinated cases (2.75% lower). Influenza vaccination showed significant protection against ICU admission (OR 0.35, 95%CI 0.21-0.59; p < 0001); mechanical ventilation (OR 0.56, 95%CI 0.39-0.80; p = 0.002); secondary bacterial pneumonia (OR 0.61, 95%CI 0.39-0.98; p = 0.04) and a higher degree of dependence (OR 0.74, 95%CI 0.55-0.99; p = 0.04). No association was observed for the Charlson comorbidity index or the mean hospital stay. Although influenza vaccination of the elderly may not achieve significant savings in mean hospitalization costs, it may lessen the degree of severity and avoid complications.
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Affiliation(s)
- Núria Torner
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Public Health Unit. University of Barcelona, Barcelona, Spain
- Public Health Agency of Catalonia, Barcelona, Spain
| | | | - Núria Soldevila
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Diana Toledo
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Gemma Navarro
- Epidemiology Unit, Corporació Sanitària i Universitaria Parc Taulí, Sabadell, Spain
| | - Aurea Morillo
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Preventive Medicine and Public Health Department, University Hospital Virgen del Rocio, Seville, Spain
| | - Maria José Pérez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Preventive Medicine and Public Health Department, University Hospital of Valme, Seville, Spain
| | - Angela Domínguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Public Health Unit. University of Barcelona, Barcelona, Spain
| | - the Working Group of the Project PI12/02079
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Public Health Unit. University of Barcelona, Barcelona, Spain
- Public Health Agency of Catalonia, Barcelona, Spain
- Epidemiology Unit, Corporació Sanitària i Universitaria Parc Taulí, Sabadell, Spain
- Preventive Medicine and Public Health Department, University Hospital Virgen del Rocio, Seville, Spain
- Preventive Medicine and Public Health Department, University Hospital of Valme, Seville, Spain
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