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Cohen LE, Hansen CL, Andrew MK, McNeil SA, Vanhems P, Kyncl J, Domingo JD, Zhang T, Dbaibo G, Laguna-Torres VA, Draganescu A, Baumeister E, Gomez D, Raboni SM, Giamberardino HIG, Nunes MC, Burtseva E, Sominina A, Medić S, Coulibaly D, Salah AB, Otieno NA, Koul PA, Unal S, Tanriover MD, Mazur M, Bresee J, Viboud C, Chaves SS. Predictors of Severity of Influenza-Related Hospitalizations: Results From the Global Influenza Hospital Surveillance Network (GIHSN). J Infect Dis 2024; 229:999-1009. [PMID: 37527470 PMCID: PMC11011157 DOI: 10.1093/infdis/jiad303] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 07/13/2023] [Accepted: 07/26/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND The Global Influenza Hospital Surveillance Network (GIHSN) has since 2012 provided patient-level data on severe influenza-like-illnesses from >100 participating clinical sites worldwide based on a core protocol and consistent case definitions. METHODS We used multivariable logistic regression to assess the risk of intensive care unit admission, mechanical ventilation, and in-hospital death among hospitalized patients with influenza and explored the role of patient-level covariates and country income level. RESULTS The data set included 73 121 patients hospitalized with respiratory illness in 22 countries, including 15 660 with laboratory-confirmed influenza. After adjusting for patient-level covariates we found a 7-fold increase in the risk of influenza-related intensive care unit admission in lower middle-income countries (LMICs), compared with high-income countries (P = .01). The risk of mechanical ventilation and in-hospital death also increased by 4-fold in LMICs, though these differences were not statistically significant. We also find that influenza mortality increased significantly with older age and number of comorbid conditions. Across all severity outcomes studied and after controlling for patient characteristics, infection with influenza A/H1N1pdm09 was more severe than with A/H3N2. CONCLUSIONS Our study provides new information on influenza severity in underresourced populations, particularly those in LMICs.
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Affiliation(s)
- Lily E Cohen
- Ready2Respond p/o The Task Force for Global Health, Decatur, Georgia, USA
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Chelsea L Hansen
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
- Brotman Baty Institute, University of Washington, Seattle, Washington, USA
- PandemiX Center, Department of Science & Environment, Roskilde University, Denmark
| | - Melissa K Andrew
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Shelly A McNeil
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Jan Kyncl
- Department of Infectious Diseases Epidemiology, National Institute of Public Health, Prague, Czech Republic
- Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Javier Díez Domingo
- Fundación Para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO–Public Health), Valencia, Spain
| | - Tao Zhang
- School of Public Health, Fudan University, Shanghai, China
| | - Ghassan Dbaibo
- Center for Infectious Diseases Research, American University of Beirut, Beirut, Lebanon
| | | | - Anca Draganescu
- National Institute for Infectious Diseases “Prof Dr Matei Bals”, Bucharest, Romania
| | - Elsa Baumeister
- Respiratory Virus Laboratory, Virology Department, INEI-ANLIS, Buenos Aires, Argentina
| | - Doris Gomez
- Grupo de Investigación UNIMOL, Facultad de Medicina, Universidad de Cartagena, Cartagena de Indias, Colombia
| | - Sonia M Raboni
- Virology Laboratory, Infectious Diseases Division, Universidade Federal do Paraná, Hospital Pequeno Principe, Curitiba, Paraná, Brazil
| | - Heloisa I G Giamberardino
- Virology Laboratory, Infectious Diseases Division, Universidade Federal do Paraná, Hospital Pequeno Principe, Curitiba, Paraná, Brazil
| | - Marta C Nunes
- South African Medical Research Council, Vaccines and Infectious Diseases Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- 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
| | - Elena Burtseva
- Gamaleya Federal Research Center for Epidemiology and Microbiology, Ministry of Health of Russian Federation, Moscow, Russia
| | - Anna Sominina
- Smorodintsev Research Institute of Influenza, St Petersburg, Russia
| | - Snežana Medić
- Institute for Public Health of Vojvodina, Novi Sad, Serbia
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | | | - Afif Ben Salah
- Institut Pasteur de Tunis, Tunis, Tunisia
- Arabian Gulf University, Manama, Bahrain
| | - Nancy A Otieno
- Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Parvaiz A Koul
- Sheri Kashmir Institute of Medical Sciences, Srinagar, India
| | - Serhat Unal
- Department of Infectious Diseases and Clinical Microbiology, Hacettepe University School of Medicine, Ankara, Turkey
- Turkish Society of Internal Medicine, Ankara, Turkey
| | - Mine Durusu Tanriover
- Turkish Society of Internal Medicine, Ankara, Turkey
- Department of Internal Medicine, Hacettepe University School of Medicine, Ankara, Turkey
| | - Marie Mazur
- Ready2Respond p/o The Task Force for Global Health, Decatur, Georgia, USA
| | - Joseph Bresee
- Ready2Respond p/o The Task Force for Global Health, Decatur, Georgia, USA
| | - Cecile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Sandra S Chaves
- Foundation for Influenza Epidemiology, Fondation de France, Paris, France
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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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Díez-Domingo J, Torcel-Pagnon L, Carmona A, Launay O, Dos Santos G, Rizzo C, Haag M, Stuurman A, Nauta J, Vannacci A, de Lusignan S, Del Rey E, Levi M, Lina B, Bellino S, Nye S, Neels P, Nohynek H, Mahé C. The value of public-private collaborative real-world evidence platforms to monitor vaccine performance post authorization: DRIVE - a European initiative. Expert Rev Vaccines 2022; 21:1701-1710. [PMID: 36261918 DOI: 10.1080/14760584.2022.2137144] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Fighting pandemics requires an established infrastructure for pandemic preparedness, with existing, sustainable platforms ready to be activated. This includes platforms for disease surveillance, virus circulation, and vaccine performance monitoring based on Real-World data, to complement clinical trial evidence. AREAS COVERED Because of its complexity, this can best be done by combining efforts between public and private sectors, developing a multi-stakeholder approach. Public-Private-Partnerships increasingly play a critical role in combating infectious diseases but are still looked at with hesitancy. The Development of Robust and Innovative Vaccine Effectiveness (DRIVE) project, which established a platform for measuring brand-specific influenza vaccine effectiveness in Europe, exemplifies how to build a collaborative platform with transparent governance, state-of-the-art methodology, and a large network of participating sites. Lessons learned from DRIVE have been cardinal to set up COVIDRIVE, a platform for brand-specific COVID-19 vaccine effectiveness monitoring. EXPERT OPINION The DRIVE partners propose that a debate on the benefits of Public-Private-Partnership-generated real-world evidence for vaccine effectiveness monitoring should be pursued to clarify roles and responsibilities, set up expectations, and decide the future environment for vaccine monitoring in Europe. In parallel, the driving factors behind PPP hesitancy should be studied.
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Affiliation(s)
- Javier Díez-Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (Fisabio), Valencia, Spain
| | | | - Antonio Carmona
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (Fisabio), Valencia, Spain
| | - Odile Launay
- Université Paris Descartes, Sorbonne Paris Cité, Inserm CIC 1417, Assistance Publique Hopitaux de Paris (APHP), CIC Cochin-Pasteur, Paris, France
| | | | - Caterina Rizzo
- Functional Area of Clinical Pathways and Epidemiology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Mendel Haag
- Center of Outcomes Research and Epidemiology, Medical Affairs, Seqirus, Amsterdam, The Netherlands
| | - Anke Stuurman
- P95 Epidemiology & Pharmacovigilance, Heverlee, Belgium
| | - Jos Nauta
- Abbott Healthcare Products B.V, CP Weesp, The Netherlands
| | - Alfredo Vannacci
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Firenze, Italy
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Elena Del Rey
- Synapse Research Management Partners SL (SYNAPSE), Madrid, Spain
| | - Miriam Levi
- Azienda USL Toscana Centro, Dipartimento di Prevenzione, Firenze, Italy
| | - Bruno Lina
- VirPath Research Laboratory, University Claude Bernard Lyon, Lyon, France
| | | | - Samantha Nye
- Confederation Of Meningitis Organisations Ltd (CoMO), Bristol, UK
| | - Pieter Neels
- International Association for Biological Standardization for Europe, Lyon, France
| | - Hanna Nohynek
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Cédric Mahé
- Modeling, Epidemiology and Data Science, Sanofi, Lyon, France
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Clinical and Phylogenetic Influenza Dynamics for the 2019-20 Season in the Global Influenza Hospital Surveillance Network (GIHSN) – pilot study. J Clin Virol 2022; 152:105184. [DOI: 10.1016/j.jcv.2022.105184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/21/2022] [Accepted: 05/11/2022] [Indexed: 11/17/2022]
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Derqui N, Nealon J, Mira-Iglesias A, Díez-Domingo J, Mahé C, Chaves SS. Predictors of influenza severity among hospitalized adults with laboratory confirmed influenza: Analysis of nine influenza seasons from the Valencia region, Spain. Influenza Other Respir Viruses 2022; 16:862-872. [PMID: 35411561 PMCID: PMC9343335 DOI: 10.1111/irv.12985] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/03/2022] [Accepted: 03/15/2022] [Indexed: 01/10/2023] Open
Abstract
Purpose Influenza hospitalizations contribute substantially to healthcare disruption. We explored the impact of ageing, comorbidities and other risk factors to better understand associations with severe clinical outcomes in adults hospitalized with influenza. Methods We analysed multi‐season data from adults ≥18 years, hospitalized with laboratory‐confirmed influenza in Valencia, Spain. Severity was defined as intensive care unit (ICU) admission, assisted ventilation and/or death. Generalized estimating equations were used to estimate associations between risk factors and severity. Rate of hospital discharge was analysed with a cumulative incidence function. Results Only 26% of influenza patients had their primary discharge diagnosis coded as influenza. Comorbidities were associated with severity among adults aged 50–79 years, with the highest odds ratio (OR) in patients with ≥3 comorbidities aged 50–64 years (OR = 6.7; 95% CI: 1.0–44.6). Morbid obesity and functional dependencies were also identified risk factors (ORs varying from 3 to 5 depending on age). The presence of increasing numbers of comorbidities was associated with prolonged hospital stay. Conclusions Influenza clinical outcomes are aggravated by the presence of comorbidities and ageing. Increased awareness of influenza among hospitalized patients could prompt clinical and public health interventions to reduce associated burden.
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Affiliation(s)
- Nieves Derqui
- Sanofi Pasteur, Lyon, France.,Univ Lyon, Université Claude Bernard Lyon 1, Villeurbanne, France
| | - Joshua Nealon
- Sanofi Pasteur, Lyon, France.,School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
| | - Javier Díez-Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
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Comparative Analysis of Clinical and Epidemiological Characteristics in Patients with SARI Confirmed as Influenza or COVID-19 Admitted in a Tertiary Care Hospital in Bucharest, Romania. Processes (Basel) 2022. [DOI: 10.3390/pr10020327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
The COVID-19 pandemic has influenced the epidemiology of other respiratory pathogens, and this was most evident in the 2020–2021 season, which was characterized by a low circulation of influenza viruses. We aim to present a comparative analysis of clinical and epidemiological characteristics of 2018–2019 influenza cases and 2020–2021 COVID-19 cases, hospitalized at a tertiary infectious diseases hospital in Bucharest. We used data collected from patients admitted for severe acute respiratory infection (SARI) and subsequently confirmed with either influenza or COVID-19. During the 2018–2019 season, 208 patients over 18 years of age were confirmed with influenza (median age = 53 years, 59.6% were female) and 6.7% had been vaccinated against influenza. The most frequent symptoms were fever (97.1%) and cough (94.7%), and 77.4% had at least one chronic condition. 90.4% received influenza antiviral therapy. During the 2020–2021 season, 191 patients were confirmed with COVID-19 (median age = 56 years, 67% were male). The most frequent symptoms were cough (85.9%) and fever (80.6%), and 75.9% had at least one chronic condition. This analysis highlights the main similarities and differences between influenza and COVID-19 and could help to optimize the management of cases.
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Soudani S, Mafi A, Al Mayahi Z, Al Balushi S, Dbaibo G, Al Awaidy S, Amiche A. A Systematic Review of Influenza Epidemiology and Surveillance in the Eastern Mediterranean and North African Region. Infect Dis Ther 2022; 11:15-52. [PMID: 34997913 PMCID: PMC8742167 DOI: 10.1007/s40121-021-00534-3] [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: 06/11/2021] [Accepted: 08/27/2021] [Indexed: 11/24/2022] Open
Abstract
Seasonal influenza represents a huge health burden, resulting in significant mortality and morbidity. Following the 2009 H1N1 pandemic, focus has been directed on the burden of influenza globally. Country and regional disease burden estimates play important roles in helping inform decisions on national influenza intervention programmes. Despite improvements in influenza surveillance following the 2009 pandemic, many opportunities remain unexplored in the Eastern Mediterranean and North African (EMNA) region, which has a high prevalence of patients with chronic disease and thus a population at high risk of influenza complications. We conducted a systematic literature review of Embase, Medline, Scopus and the Cochrane Database of Systematic Reviews from 1 January 1998 to 31 January 2020 covering the EMNA region with the aim to describe the epidemiology of influenza in the region and assess the influenza epidemiological surveillance research landscape. Relevant data on study characteristics, population, clinical/virology characteristics and epidemiology were extracted and summarised descriptively. Of the 112 studies identified for inclusion, 90 were conducted in the Eastern Mediterranean region, 19 in North Africa and three across the EMNA region. Data were reported on 314,058 laboratory-confirmed influenza cases, 96 of which were derived from surveillance systems. Amongst the surveillance studies, the percentage of positive cases reported ranged from 1% to 100%. The predominantly identified influenza strain was strain A; H1N1 was the most prominent circulating subtype. Typing was performed in approximately 75% and subtyping in 50% of studies, respectively. Data on those considered most at risk for influenza complications were collected in 21% of studies, highlighting a regional gap for these data. Our review reveals existing gaps in regional estimates of influenza health and economic burden, hospitalisation rates and duration, and highlights the need for robust and high-quality epidemiology data to help inform public health interventions.
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Affiliation(s)
| | | | | | | | - Ghassan Dbaibo
- Center for Infectious Diseases Research, American University of Beirut, Beirut, Lebanon
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8
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Drăgănescu AC, Miron VD, Streinu-Cercel A, Florea D, Vlaicu O, Bilaşco A, Oţelea D, Luminos ML, Piţigoi D, Streinu-Cercel A, Săndulescu O. Circulation of influenza A viruses among patients hospitalized for severe acute respiratory infection in a tertiary care hospital in Romania in the 2018/19 season: Results from an observational descriptive epidemiological study. Medicine (Baltimore) 2021; 100:e28460. [PMID: 34967388 PMCID: PMC8718231 DOI: 10.1097/md.0000000000028460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 12/09/2021] [Indexed: 01/05/2023] Open
Abstract
The seasonal circulation of influenza viruses and the impact that this infection has on the population varies from year to year. We have prospectively captured hospital-based surveillance data describing the circulation of influenza viruses and characterizing patients with influenza admitted to a tertiary hospital in Bucharest, Romania in the 2018/19 season.We have conducted an observational descriptive epidemiological study analyzing all consecutive patients hospitalized for influenza like illness or severe acute respiratory infection at the National Institute for Infectious Diseases "Prof. Dr. Matei Balş", Bucharest, Romania, from November 2018 to April 2019. For all patients we actively collected standardized clinical information and performed real-time reverse transcription polymerase chain reaction testing of respiratory samples to identify the presence of influenza viruses and to determine the subtype/lineage.A total of 1128 hospitalized patients were tested in this study, with an influenza positivity rate of 41.2% (n = 465). We identified an exclusive circulation of influenza A viruses (A/H1 - 57.2%, A/H3 - 29.3%, A not subtyped - 13.3%), with only 1 case of influenza B detected at the end of the season (week 18/2019). Children under 5 years of age accounted for the majority of cases (40%, n = 186), and all cases had a favorable evolution. Females were more likely to test positive for influenza (53.3%) compared to males (46.7%), P = .048, and presence of asthma or chronic obstructive pulmonary disease increased the risk of influenza 4.4-fold and 2-fold, respectively (P < .001 and P = .034). Thirteen influenza patients required hospitalization in intensive care and 5 deaths were recorded (1.1%). The vaccination rate for all patients included in the study was low (4.6%). The existence of chronic conditions or age over 65 years prolonged the hospitalization period with 2 days (P < .001 each).In the 2018/19 season, we identified an important circulation of influenza A viruses among patients hospitalized for influenza like illness/severe acute respiratory infection in a tertiary care hospital in Romania, with a higher likelihood of affecting females and patients with pre-existing lung conditions. Monitoring of the clinical and epidemiological characteristics of influenza virus infection is of great interest and should be done carefully each season to better inform on the necessary measures to limit the impact that this infection may have on risk groups.
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Affiliation(s)
| | | | - Anca Streinu-Cercel
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Dragoş Florea
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Ovidiu Vlaicu
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
| | - Anuţa Bilaşco
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
| | - Dan Oţelea
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
| | - Monica Luminiţa Luminos
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Daniela Piţigoi
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Adrian Streinu-Cercel
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Oana Săndulescu
- National Institute for Infectious Diseases “Prof. Dr. Matei Balş”, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
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9
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Miron VD, Bănică L, Săndulescu O, Paraschiv S, Surleac M, Florea D, Vlaicu O, Milu P, Streinu-Cercel A, Bilașco A, Oțelea D, Pițigoi D, Streinu-Cercel A, Drăgănescu AC. Clinical and molecular epidemiology of influenza viruses from Romanian patients hospitalized during the 2019/20 season. PLoS One 2021; 16:e0258798. [PMID: 34767579 PMCID: PMC8589178 DOI: 10.1371/journal.pone.0258798] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 10/05/2021] [Indexed: 11/19/2022] Open
Abstract
Two main mechanisms contribute to the continuous evolution of influenza viruses: accumulation of mutations in the hemagglutinin and neuraminidase genes (antigenic drift) and genetic re-assortments (antigenic shift). Epidemiological surveillance is important in identifying new genetic variants of influenza viruses with potentially increased pathogenicity and transmissibility. In order to characterize the 2019/20 influenza epidemic in Romania, 1042 respiratory samples were collected from consecutive patients hospitalized with acute respiratory infections in the National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest Romania and tested for influenza A virus, influenza B virus and respiratory syncytial virus (RSV) by real-time PCR. Out of them, 516 cases were positive for influenza, with relatively equal distribution of influenza A and B. Two patients had influenza A and B co-infection and 8 patients had influenza-RSV co-infection. The most severe cases, requiring supplemental oxygen administration or intensive care, and the most deaths were reported in patients aged 65 years and over. Subtyping showed the predominance of A(H3N2) compared to A(H1N1)pdm09 pdm09 (60.4% and 39.6% of all subtyped influenza A isolates, respectively), and the circulation of Victoria B lineage only. Influenza B started to circulate first (week 47/2019), with influenza A appearing slightly later (week 50/2019), followed by continued co-circulation of A and B viruses throughout the season. Sixty-eight samples, selected to cover the entire influenza season and all circulating viral types, were analysed by next generation sequencing (NGS). All A(H1N1)pdm09 sequences identified during this season in Romania were clustered in the 6b1.A clade (sub-clades: 6b1.A.183P -5a and 6b1.A.187A). For most A(H1N1)pdm09 sequences, the dominant epitope was Sb (pepitope = 0.25), reducing the vaccine efficacy by approximately 60%. According to phylogenetic analysis, influenza A(H3N2) strains circulating in this season belonged predominantly to clade 3C.3A, with only few sequences in clade 3C.2A1b. These 3C.2A1b sequences, two of which belonged to vaccinated patients, harbored mutations in antigenic sites leading to potential reduction of vaccine efficacy. Phylogenetic analysis of influenza B, lineage Victoria, sequences showed that the circulating strains belonged to clade V1A3. As compared to the other viral types, fewer mutations were observed in B/Victoria strains, with limited impact on vaccine efficiency based on estimations.
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MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Child
- Child, Preschool
- Coinfection
- Epidemics
- Female
- History, 21st Century
- Hospitalization
- Humans
- Infant
- Infant, Newborn
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H3N2 Subtype/genetics
- Influenza B virus/genetics
- Influenza Vaccines/therapeutic use
- Influenza, Human/epidemiology
- Influenza, Human/history
- Influenza, Human/prevention & control
- Influenza, Human/virology
- Male
- Middle Aged
- Phylogeny
- RNA, Viral/genetics
- Respiratory Syncytial Virus Infections/epidemiology
- Respiratory Syncytial Virus Infections/history
- Respiratory Syncytial Virus Infections/virology
- Respiratory Syncytial Viruses/genetics
- Romania/epidemiology
- Vaccine Efficacy
- Young Adult
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Affiliation(s)
| | - Leontina Bănică
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Oana Săndulescu
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Simona Paraschiv
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Marius Surleac
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
- Research Institute of the University of Bucharest (ICUB), Bucharest, Romania
| | - Dragoș Florea
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Ovidiu Vlaicu
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Petre Milu
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Anca Streinu-Cercel
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Anuta Bilașco
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Dan Oțelea
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Daniela Pițigoi
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
| | - Adrian Streinu-Cercel
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- “Prof. Dr. Matei Bals” National Institute for Infectious Diseases, Bucharest, Romania
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10
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Age-Specific Etiology of Severe Acute Respiratory Infections and Influenza Vaccine Effectivity in Prevention of Hospitalization in Russia, 2018-2019 Season. J Epidemiol Glob Health 2021; 11:413-425. [PMID: 34734387 PMCID: PMC8552611 DOI: 10.1007/s44197-021-00009-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 10/15/2021] [Indexed: 10/26/2022] Open
Abstract
The expansion and standardization of clinical trials, as well as the use of sensitive and specific molecular diagnostics methods, provide new information on the age-specific roles of influenza and other respiratory viruses in development of severe acute respiratory infections (SARI). Here, we present the results of the multicenter hospital-based study aimed to detect age-specific impact of influenza and other respiratory viruses (ORV). The 2018-2019 influenza season in Russia was characterized by co-circulation of influenza A(H1N1)pdm09 and A(H3N2) virus subtypes which were detected among hospitalized patients with SARI in 19.3% and 16.4%, respectively. RSV dominated among ORV (15.1% of total cases and 26.8% in infants aged ≤ 2 years). The most significant SARI agents in intensive care units were RSV and influenza A(H1N1)pdm09 virus, (37.3% and 25.4%, respectively, of PCR-positive cases). Hyperthermia was the most frequently registered symptom for influenza cases. In contrast, hypoxia, decreased blood O2 concentration, and dyspnea were registered more often in RSV, rhinovirus, and metapneumovirus infection in young children. Influenza vaccine effectiveness (IVE) against hospitalization of patients with PCR-confirmed influenza was evaluated using test-negative case-control design. IVE for children and adults was estimated to be 57.0% and 62.0%, respectively. Subtype specific IVE was higher against influenza A(H1N1)pdm09, compared to influenza A(H3N2) (60.3% and 45.8%, respectively). This correlates with delayed antigenic drift of the influenza A(H1N1)pdm09 virus and genetic heterogeneity of the influenza A(H3N2) population. These studies demonstrate the need to improve seasonal influenza prevention and control in all countries as states by the WHO Global Influenza Strategy for 2019-2030 initiative.
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11
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Poor Vaccine Effectiveness against Influenza B-Related Severe Acute Respiratory Infection in a Temperate North Indian State (2019-2020): A Call for Further Data for Possible Vaccines with Closer Match. Vaccines (Basel) 2021; 9:vaccines9101094. [PMID: 34696202 PMCID: PMC8540586 DOI: 10.3390/vaccines9101094] [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] [Received: 07/24/2021] [Revised: 09/21/2021] [Accepted: 09/21/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Influenza vaccine uptake in India is poor, and scant data exist regarding the effectiveness of influenza vaccine against hospitalization. Methods: From October 2019 to March 2020, vaccination status of 1219 patients (males n = 571, aged 5–107 years; median, 50 years) hospitalized with severe acute respiratory illness (SARI) was assessed. The patients were tested for influenza viruses and their subtypes by RT PCR. Sequencing of the HA gene was performed. Vaccine effectiveness (VE) against influenza subtypes was estimated by the test negative design. Results: A total of 336 (27.5%) patients were influenza-positive, with influenza B/Victoria accounting for 49.7% (n = 167), followed by influenza A/H1N1 (47.6%; n = 155) and influenza A/H3N2 (4.4%; n = 15). About 6.8% and 8.6% of the influenza-positive and influenza-negative patients, respectively, had been vaccinated. Adjusted VE for any influenza strain was 13% (95% CI −42 to 47), which for influenza B was 0%. HA sequencing revealed that influenza B samples mainly belonged to subclade V1A.3/133R with deletion of residues 163–165, as against the 2-aa deletion in influenza B/Colorado/06/2017 strain, contained in the vaccine. VE for influenza A/H1N1 was 55%. Conclusions: Poor VE due to a genetic mismatch between the circulating strain and the vaccine strain calls for efforts to reduce the mismatch.
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12
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Bai H, Zhao J, Ma C, Wei H, Li X, Fang Q, Yang P, Wang Q, Wang D, Xin L. Impact of RNA degradation on influenza diagnosis in the surveillance system. Diagn Microbiol Infect Dis 2021; 100:115388. [PMID: 34030102 DOI: 10.1016/j.diagmicrobio.2021.115388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/22/2021] [Accepted: 04/03/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND The continuous evolution of influenza viruses is monitored by the World Health Organization Global Influenza Surveillance and Response System. Sample quality is essential for surveillance quality. METHODS To evaluate the RNA degradation of clinical samples, influenza-like illness samples were collected from four sentinel hospitals, and seasonal influenza was tested by real-time reverse transcription polymerase chain reaction and quantified by digital reverse transcription polymerase chain reaction at different time points. RESULTS RNA degradation was observed in the majority of samples eight days after sample collection. A significant and faster rate of RNA content reduction was observed in low viral load samples (<10 copies/µl) than in high viral load samples (>10 copies/μl), stored at 2 to 8°C for up to eight days. RNase P (RNP) RNA, which is a key indicator to evaluate sample collection quality, was detected. Sample collection quality was uneven in different hospitals. CONCLUSION Low viral load samples increase the risk of false negatives due to RNA degradation to undetectable levels.
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Affiliation(s)
- Hongyan Bai
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Jiashen Zhao
- Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China
| | - Chunyan Ma
- Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China
| | - Hejiang Wei
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Xiyan Li
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Qiongqiong Fang
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Peng Yang
- Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China
| | - Quanyi Wang
- Beijing Center for Disease Prevention and Control, Beijing, People's Republic of China
| | - Dayan Wang
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China
| | - Li Xin
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, WHO Collaborating Center for Reference and Research on Influenza, Key Laboratory for Medical Virology, National Health Commission, Beijing, People's Republic of China.
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13
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Amiche A, Tanriover MD, Bellier L, Ugur B, Akin L. Cost Utility of Switching From Trivalent to Quadrivalent Influenza Vaccine in Turkey. Value Health Reg Issues 2021; 25:15-22. [PMID: 33485248 DOI: 10.1016/j.vhri.2020.11.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 10/26/2020] [Accepted: 11/03/2020] [Indexed: 11/20/2022]
Abstract
OBJECTIVES Trivalent influenza vaccines (TIVs) are widely used but protect against only 1 of the 2 co-circulating influenza B virus lineages. Quadrivalent influenza vaccines (QIVs) include a B strain from each lineage to overcome mismatches. The main objective of this study was to determine the cost-utility and budget impact of switching from vaccination with TIV to QIV in the population recommended for influenza vaccination in Turkey. METHODS A static cohort cost-effectiveness model was developed to predict influenza-related costs and outcomes under a QIV versus a TIV program during an influenza season. The model was informed by data from Turkey on influenza strain distribution, influenza-attributable outcomes, and associated costs over the seasons 2010/2011 to 2016/2017. The effectiveness of each strategy was measured through quality-adjusted life-years (QALYs), and comparisons were based on the incremental cost-effectiveness ratio. RESULTS In an average influenza season, the model showed that switching from TIV to QIV would prevent an additional 15 092 cases of influenza, 6311 general practitioner visits, 94 hospitalizations, 13 deaths, and gain 440 QALYs. From the societal perspective, this amounted to total cost savings of international dollars (I$) 1102 710 (US$388 643). The incremental cost-effectiveness ratio when using QIV over TIV was I$55 248/QALY gained. Switching to QIV is mostly cost-effective among older adults with I$36 413.38/QALY. Sensitivity analysis showed that vaccine effectiveness, B strain mismatch, and influenza visits highly impact the cost-effectiveness results. CONCLUSION Switching from TIV to QIV is likely to be cost-effective in Turkey, yet highly dependent on the severity of the influenza season, B strain epidemiology, and vaccine effectiveness.
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Affiliation(s)
| | - Mine Durusu Tanriover
- Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
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14
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Nisar N, Aamir UB, Badar N, Mahmood MR, Yaqoob A, Tripathy JP, Laxmeshwar C, Tenzin K, Zaidi SSZ, Salman M, Ikram A. Epidemiology of Influenza among patients with influenza-like illness and severe acute respiratory illness in Pakistan: A 10-year surveillance study 2008-17. J Med Virol 2020; 92:3028-3037. [PMID: 32314812 DOI: 10.1002/jmv.25913] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 04/17/2020] [Indexed: 02/03/2023]
Abstract
In Pakistan, the burden of influenza was largely unknown, as no formal surveillance system was in place. In 2008, an influenza surveillance system was set up in eight sentinel sites. This study describes the epidemiology of influenza virus using a 10-year surveillance data from 2008 to 2017. Nasopharyngeal/throat swabs were collected from patients with influenza-like illness (ILI) and severe acute respiratory illness (SARI) along with relevant epidemiological information. The samples were tested using real-time reverse transcriptase-polymerase chain reaction for the detection and characterization of influenza viruses. A total of 17 209 samples were tested for influenza, out of which 3552 (20.6%) were positive; 2151/11 239 (19.1%) were patients with ILI, whereas 1401/5970 (23.5%) were patients with SARI. Influenza A/H1N1pdm09 was the predominant strain with 40.6% (n = 1442) followed by influenza B (936, 26.4%). Influenza A/H1N1pdm09 was predominant among the children (5-14 years) and adults (15-64 years). Influenza B strain was predominantly found in the elderly age group (≥ 65 years) accounting for 48% of cases followed by children (2-4 years) accounting for 37% of cases. This 10-year surveillance data provides evidence of influenza activity in the country throughout the year with seasonal winter peaks. The results could be used to strengthen the epidemic preparedness and response plan.
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Affiliation(s)
- Nadia Nisar
- Department of Virology, Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
| | - Uzma Bashir Aamir
- Department of Virology, Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
| | - Nazish Badar
- Department of Virology, Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
| | - Muhammad Rashid Mahmood
- Department of Virology, Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
| | - Aashifa Yaqoob
- Research Unit, Common Management Unit (HIV/AIDS, TB & Malaria), Islamabad, Pakistan
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Jaya Prasad Tripathy
- Department of Community Medicine, All India Institute of Medical Sciences, Nagpur, India
- Center of Operational Research, International Union Against Tuberculosis and Lung Disease, Paris, France
| | | | - Karma Tenzin
- Faculty of Postgraduate Medicine, Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan
| | - Syed Sohail Zahoor Zaidi
- Department of Virology, Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
| | - Muhammad Salman
- Department of Virology, Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
| | - Aamer Ikram
- Department of Virology, Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
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15
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Drăgănescu A, Săndulescu O, Florea D, Vlaicu O, Streinu-Cercel A, Oțelea D, Luminos ML, Aramă V, Abrudan S, Streinu-Cercel A, Pițigoi D. The 2017-2018 influenza season in Bucharest, Romania: epidemiology and characteristics of hospital admissions for influenza-like illness. BMC Infect Dis 2019; 19:967. [PMID: 31718578 PMCID: PMC6852761 DOI: 10.1186/s12879-019-4613-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 10/31/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Seasonal influenza causes a considerable burden to healthcare services every year. To better measure the impact of severe influenza cases in Romania, we analyzed active surveillance data collected during the 2017-2018 season from patients admitted for influenza-like illness (ILI) at a tertiary care hospital in Bucharest. METHODS Patients admitted for acute ILI were included if they were resident in the Bucharest-Ilfov region, had been hospitalized for at least 24 h, and had onset of symptoms within 7 days before admission. Patient demographics, healthcare use, vaccination status, and outcome data were collected by questionnaire or by searching clinical records. Respiratory swabs were also obtained from each patient to confirm influenza A (A/H1 and A/H3 subtypes) or influenza B (Yamagata and Victoria lineages) infection by real-time reverse-transcription polymerase chain reaction assay. RESULTS The study included 502 patients, many (45.2%) of whom were aged < 5 years. Overall, 108 patients (21.5%) had one or more comorbidities. Seventeen adults aged 18-64 years (3.4%) had been vaccinated against influenza. Patients were hospitalized for a median of 5 days and most (90.4%) were prescribed antiviral treatment. More than one-half of the patients (n = 259, 51.6%) were positive for influenza. Most influenza cases were caused by B viruses (172/259, 66.4%), which were mostly of the B/Yamagata lineage (85 of 94 characterized, 90.4%). Most of the subtyped A viruses were A/H1 (59/74, 79.7%). A/H1 viruses were frequently detected in influenza-positive admissions throughout the 2017-2018 season, whereas the predominant B/Yamagata viruses were detected around the middle of the season, with a peak in cases at week 7 of 2018. Eleven patients were admitted to an intensive care unit; of these, one patient with confirmed B/Yamagata infection died. CONCLUSIONS These results show that seasonal influenza results in considerable hospitalization in Bucharest-Ilfov, Romania and suggest vaccine coverage should be extended, especially to the youngest age groups. The data from this study should help inform and optimize national influenza healthcare policies.
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Affiliation(s)
- Anca Drăgănescu
- Children X Department, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
| | - Oana Săndulescu
- Adults II Department, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
- Department of Infectious Diseases I, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Dragoș Florea
- Molecular Diagnosis Laboratory, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
- Department of Microbiology I, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Ovidiu Vlaicu
- Molecular Diagnosis Laboratory, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
| | - Anca Streinu-Cercel
- Adults II Department, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
- Department of Infectious Diseases I, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Dan Oțelea
- Molecular Diagnosis Laboratory, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
| | - Monica Luminița Luminos
- Children X Department, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
- Department of Infectious Diseases, Faculty of Dental Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Victoria Aramă
- Department of Infectious Diseases I, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Adults III Department, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
| | | | - Adrian Streinu-Cercel
- Adults II Department, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
- Department of Infectious Diseases I, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Daniela Pițigoi
- Compartment for Surveillance and Prevention of Healthcare-associated Infections, National Institute for Infectious Diseases ‘Prof. Dr. Matei Balş’, Bucharest, Romania
- Department of Epidemiology, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
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16
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Puig-Barberà J, Mira-Iglesias A, Burtseva E, Cowling BJ, Serhat U, Ruiz-Palacios GM, Launay O, Kyncl J, Koul P, Siqueira MM, Sominina A. Influenza epidemiology and influenza vaccine effectiveness during the 2015-2016 season: results from the Global Influenza Hospital Surveillance Network. BMC Infect Dis 2019; 19:415. [PMID: 31088481 PMCID: PMC6518734 DOI: 10.1186/s12879-019-4017-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 04/24/2019] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The Global Influenza Hospital Surveillance Network is an international platform whose primary objective is to study severe cases of influenza requiring hospitalization. METHODS During the 2015-2016 influenza season, 11 sites in the Global Influenza Hospital Surveillance Network in nine countries (Russian Federation, Czech Republic, Turkey, France, China, Spain, Mexico, India, and Brazil) participated in a prospective, active-surveillance, hospital-based epidemiological study. Influenza infection was confirmed by reverse transcription-polymerase chain reaction. Influenza vaccine effectiveness (IVE) against laboratory-confirmed influenza was estimated using a test-negative approach. RESULTS 9882 patients with laboratory results were included of which 2415 (24.4%) were positive for influenza, including 1415 (14.3%) for A(H1N1)pdm09, 235 (2.4%) for A(H3N2), 180 (1.8%) for A not subtyped, 45 (0.5%) for B/Yamagata-lineage, 532 (5.4%) for B/Victoria-lineage, and 33 (0.3%) for B not subtyped. Of included admissions, 39% were < 5 years of age and 67% had no underlying conditions. The odds of being admitted with influenza were higher among pregnant than non-pregnant women (odds ratio, 2.82 [95% confidence interval (CI), 1.90 to 4.19]). Adjusted IVE against influenza-related hospitalization was 16.3% (95% CI, 0.4 to 29.7). Among patients targeted for influenza vaccination, adjusted IVE against hospital admission with influenza was 16.2% (95% CI, - 3.6 to 32.2) overall, 23.0% (95% CI, - 3.3 to 42.6) against A(H1N1)pdm09, and - 25.6% (95% CI, - 86.3 to 15.4) against B/Victoria lineage. CONCLUSIONS The 2015-2016 influenza season was dominated by A(H1N1)pdm09 and B/Victoria-lineage. Hospitalization with influenza often occurred in healthy and young individuals, and pregnant women were at increased risk of influenza-related hospitalization. Influenza vaccines provided low to moderate protection against hospitalization with influenza and no protection against the predominant circulating B lineage, highlighting the need for more effective and broader influenza vaccines.
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Affiliation(s)
- Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, FISABIO, Valencia, Spain
| | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, FISABIO, Valencia, Spain
| | - Elena Burtseva
- Ivanovsky Institute of Virology FSBI “N.F, Gamaleya NRCEM” Ministry of Health, Moscow, Russian Federation
| | - Benjamin J. Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, Hong Kong, Hong Kong, Special Administrative Region of China
| | - Unal Serhat
- Turkish Society of Internal Medicine, Ankara, Turkey
| | - Guillermo Miguel Ruiz-Palacios
- Salvador Zubirán National Institute of Medical Sciences and Nutrition (INCMNSZ), Vasco de Quiroga 15, Belisario Domínguez Sección 16, 14080 Tlalpan, CDMX Mexico
| | - Odile Launay
- INSERM, F-CRIN, Réseau National d’Investigation Clinique en Vaccinologie (I-REIVAC), CIC Cochin Pasteur, Paris, France and Université Paris Descartes, Sorbonne Paris Cité and Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
| | - Jan Kyncl
- National Institute of Public Health, Prague, Czech Republic
| | - Parvaiz Koul
- Department of Internal and Pulmonary Medicine, Sher-i-Kashmir Institute of Medical Sciences (SKIMS), Soura, Bemina, Srinagar, Jammu & Kashmir 190011 India
| | | | - Anna Sominina
- Research Institute of Influenza, WHO National Influenza Centre of Russia and Ministry of Healthcare of the Russian Federation, St. Petersburg, Russian Federation
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17
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Baselga-Moreno V, Trushakova S, McNeil S, Sominina A, Nunes MC, Draganescu A, Unal S, Koul P, Kyncl J, Zhang T, Kuatbayeva A, Ben-Salah A, Burtseva E, Puig-Barberà J, Díez-Domingo J. Influenza epidemiology and influenza vaccine effectiveness during the 2016-2017 season in the Global Influenza Hospital Surveillance Network (GIHSN). BMC Public Health 2019; 19:487. [PMID: 31046725 PMCID: PMC6498567 DOI: 10.1186/s12889-019-6713-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 03/27/2019] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016-2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016-2017 influenza season. METHODS A RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30 days from other hospitalisation with symptoms onset within the 7 days prior to admission. Patients 5 years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE = (1-aOR) × 100, where aOR is the adjusted Odds Ratio comparing cases and controls. RESULTS Among 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62-37.27. Vaccination seemed to confer better protection against influenza B and in people 2-4 years, or 85 years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59-5.76) comparing pregnant with non-pregnant women. CONCLUSIONS Vaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn't allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.
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Affiliation(s)
- Víctor Baselga-Moreno
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), 21 Cataluña Av, 46020 Valencia, Spain
| | - Svetlana Trushakova
- Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health, Moscow, Russian Federation
| | - Shelly McNeil
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Halifax, Canada
| | - Anna Sominina
- Research Institute of Influenza, WHO National Influenza Centre of Russia, St. Petersburg, Russian Federation
| | - Marta C. Nunes
- Medical Research Council, Respiratory and Meningeal Pathogens Research Unit, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Technology/National Research Foundation, Vaccine Preventable Diseases, University of the Witwatersrand, Johannesburg, South Africa
| | - Anca Draganescu
- National Institute of Infectious Diseases “Prof. Dr. Matei Bals”, Bucharest (INBI “Prof. Dr. Matei Bals”), București, Romania
| | - Serhat Unal
- Turkish Society of Internal Medicine, Ankara, Turkey
| | - Parvaiz Koul
- Department of Internal and Pulmonary Medicine, Sher-i-Kashmir Institute of Medical Sciences (SKIMS), Soura, India
| | - Jan Kyncl
- National Institute of Public Health, Prague, Czech Republic
| | | | - Ainagul Kuatbayeva
- Center for Sanitary-Epidemiological Expertise and Monitoring, Almaty, Kazakhstan
| | - Afif Ben-Salah
- Pasteur Institute of Tunis, Tunis, Tunisia
- College of Medicine and Medical Sciences, Manama, Bahrain
| | - Elena Burtseva
- Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health, Moscow, Russian Federation
| | - Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), 21 Cataluña Av, 46020 Valencia, Spain
| | - Javier Díez-Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), 21 Cataluña Av, 46020 Valencia, Spain
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Trushakova S, Kisteneva L, Guglieri-López B, Mukasheva E, Kruzhkova I, Mira-Iglesias A, Krasnoslobodtsev K, Morozova E, Kolobukhina L, Puig-Barberà J, Burtseva E. Epidemiology of influenza in pregnant women hospitalized with respiratory illness in Moscow, 2012/2013-2015/2016: a hospital-based active surveillance study. BMC Pregnancy Childbirth 2019; 19:72. [PMID: 30770729 PMCID: PMC6377748 DOI: 10.1186/s12884-019-2192-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 01/15/2019] [Indexed: 12/18/2022] Open
Abstract
Background To better understand the impact of seasonal influenza in pregnant women we analyzed data collected during four seasons at a hospital for acute respiratory infection that specializes in treating pregnant women. Methods This was a single-center active surveillance study of women 15–44 years of age hospitalized for acute respiratory diseases between 2012/2013 and 2015/2016 in Moscow, Russian Federation. Women had to have been hospitalized within 7 days of the onset of symptoms. Swabs were taken within 48 h of admission, and influenza was detected by reverse transcription-polymerase chain reaction. Results During the four seasons, of the 1992 hospitalized women 1748 were pregnant. Laboratory-confirmed influenza was detected more frequently in pregnant women (825/1748; 47.2%) than non-pregnant women (58/244; 23.8%) (OR for influenza = 2.87 [95% CI, 2.10–3.92]; p < 0.001). This pattern was homogenous across seasons (p = 0.112 by test of homogeneity of equal odds). Influenza A(H1N1)pdm09 was the dominant strain in 2012/2013, A(H3N2) in 2013/2014, B/Yamagata lineage and A(H3N2) in 2014/2015, and A(H1N1)pdm09 in 2015/2016. Influenza-positive pregnant admissions went to the hospital sooner than influenza-negative pregnant admissions (p < 0.001). The risk of influenza increased by 2% with each year of age and was higher in women with underlying conditions (OR = 1.52 [95% CI, 1.16 to 1.99]). Pregnant women positive for influenza were homogeneously distributed by trimester (p = 0.37 for homogeneity; p = 0.49 for trend). Frequencies of stillbirth, delivery, preterm delivery, and caesarean delivery did not significantly differ between influenza-positive and influenza-negative hospitalized pregnant women or between subtypes/lineages. Conclusions Pregnant women are at increased risk for hospitalization due to influenza irrespective of season, circulating viruses, or trimester. Electronic supplementary material The online version of this article (10.1186/s12884-019-2192-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Svetlana Trushakova
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation.
| | - Lidiya Kisteneva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Beatriz Guglieri-López
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Evgenia Mukasheva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Irina Kruzhkova
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Kirill Krasnoslobodtsev
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Ekaterina Morozova
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Ludmila Kolobukhina
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Elena Burtseva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
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Drăgănescu A, Săndulescu O, Florea D, Vlaicu O, Streinu-Cercel A, Oţelea D, Aramă V, Luminos ML, Streinu-Cercel A, Niţescu M, Ivanciuc A, Bacruban R, Piţigoi D. The influenza season 2016/17 in Bucharest, Romania - surveillance data and clinical characteristics of patients with influenza-like illness admitted to a tertiary infectious diseases hospital. Braz J Infect Dis 2018; 22:377-386. [PMID: 30391275 PMCID: PMC9427989 DOI: 10.1016/j.bjid.2018.10.275] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 10/18/2018] [Accepted: 10/18/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Influenza continues to drive seasonal morbidity, particularly in settings with low vaccine coverage. OBJECTIVES To describe the influenza cases and viral circulation among hospitalized patients. METHODS A prospective study based on active surveillance of inpatients with influenza-like illness from a tertiary hospital in Bucharest, Romania, in the season 2016/17. RESULTS A total of 446 patients were tested, with a balanced gender distribution. Overall, 192 (43%) patients tested positive for influenza, with the highest positivity rate in the age groups 3-13 years and >65 years. Peak activity occurred between weeks 1 and 16/2017, with biphasic distribution: A viruses were replaced by B viruses from week 9/2017; B viruses predominated (66.1%). Among the 133 (69.3%) subtyped samples, all influenza A were subtype H3 (n=57) and all influenza B were B/Victoria (n=76). Patients who tested positive for influenza presented fewer comorbidities (p=0.012), except for the elderly, in whom influenza was more common in patients with comorbidities (p=0.050). Disease evolution was generally favorable under antiviral treatment. The length of hospital stay was slightly longer in patients with influenza-like illness who tested patients negative for influenza (p=0.031). CONCLUSIONS Distinctive co-circulation of A/H3 and B/Victoria in Bucharest, Romania in the 2016/17 influenza season was found. While the A/H3 subtype was predominant throughout Europe that season, B/Victoria appears to have circulated specifically in Romania and the Eastern European region, predominantly affecting preschoolers and school children.
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Affiliation(s)
- Anca Drăgănescu
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania
| | - Oana Săndulescu
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania; Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
| | - Dragoş Florea
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania; Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Ovidiu Vlaicu
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania
| | - Anca Streinu-Cercel
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania; Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Dan Oţelea
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania
| | - Victoria Aramă
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania; Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Monica Luminiţa Luminos
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania; Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Adrian Streinu-Cercel
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania; Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Maria Niţescu
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania; Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Alina Ivanciuc
- Cantacuzino Military-Medical Research-Development National Institute, Bucharest, Romania; Bucharest University, Faculty of Biology, Bucharest, Romania
| | - Rodica Bacruban
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania
| | - Daniela Piţigoi
- National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania; Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
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Tanriover MD, Bagci Bosi T, Ozisik L, Bilgin E, Güzel Tunçcan Ö, Özgen Ö, Tülek N, Özsoy M, Tezer H, Bedir Demirdağ T, Kara A, Basaranoglu ST, Aykac K, Ozkaya-Parlakay A, Gulhan B, Unal S. Poor outcomes among elderly patients hospitalized for influenza-like illness. Curr Med Res Opin 2018; 34:1201-1207. [PMID: 28918667 DOI: 10.1080/03007995.2017.1381078] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND AND OBJECTIVE Global Influenza Hospital Surveillance Network is a worldwide initiative that aims to document the burden of influenza infections among acute admissions and vaccine effectiveness in particular countries. As a partner of this platform, we aimed to determine the frequency of influenza infections among acute admissions with influenza-like illness and the outcomes of enrolled patients during the 2015-2016 influenza season in selected hospitals in Turkey. PATIENTS AND METHODS The investigators screened the hospital admission registries, chart review or available records, and screened all patients hospitalized in the previous 24-48 hours or overnight in the predefined wards or emergency room. A total of 1351 patients were screened for enrollment in five tertiary care referral hospitals in Ankara and 774 patients (57.3% of the initial screened population) were eligible for swabbing. All of the eligible patients who consented were swabbed and tested for influenza with real-time polymerase chain reaction (PCR) based methods. RESULTS Overall, influenza positivity was detected in 142 patients (18.4%). The predominant influenza strain was A H1N1pdm09. Outcomes were worse among elderly patients, regardless of the presence of the influenza virus. Half of the patients over 65 years of age were admitted to the intensive care unit, while one third required any mode of mechanical ventilation and one fourth died in the hospital in that particular episode. CONCLUSION These findings can guide hospitals to plan and prepare for the influenza season. Effective influenza vaccination strategies, particularly aimed at the elderly and adults with chronic diseases, can provide an opportunity for prevention of deaths due to influenza-like illness.
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Affiliation(s)
- Mine Durusu Tanriover
- a Hacettepe University Faculty of Medicine , Department of Internal Medicine , Ankara , Turkey
| | - Tülay Bagci Bosi
- b Hacettepe University Faculty of Medicine , Department of Public Health , Ankara , Turkey
| | - Lale Ozisik
- a Hacettepe University Faculty of Medicine , Department of Internal Medicine , Ankara , Turkey
| | - Emre Bilgin
- a Hacettepe University Faculty of Medicine , Department of Internal Medicine , Ankara , Turkey
| | - Özlem Güzel Tunçcan
- c Gazi University Faculty of Medicine , Department of Infectious Diseases , Ankara , Turkey
| | - Özge Özgen
- c Gazi University Faculty of Medicine , Department of Infectious Diseases , Ankara , Turkey
| | - Necla Tülek
- d Ankara Training and Research Hospital , Clinic of Infectious Diseases and Clinical Microbiology , Ankara , Turkey
| | - Metin Özsoy
- d Ankara Training and Research Hospital , Clinic of Infectious Diseases and Clinical Microbiology , Ankara , Turkey
| | - Hasan Tezer
- e Gazi University Faculty of Medicine , Department of Pediatrics , Ankara , Turkey
| | - Tugba Bedir Demirdağ
- e Gazi University Faculty of Medicine , Department of Pediatrics , Ankara , Turkey
| | - Ates Kara
- f Hacettepe University Faculty of Medicine , Department of Pediatrics , Ankara , Turkey
| | | | - Kubra Aykac
- f Hacettepe University Faculty of Medicine , Department of Pediatrics , Ankara , Turkey
| | - Aslinur Ozkaya-Parlakay
- g Ankara Hematology Oncology Children's Training and Research Hospital , Pediatric Infectious Disease Department , Ankara , Turkey
| | - Belgin Gulhan
- g Ankara Hematology Oncology Children's Training and Research Hospital , Pediatric Infectious Disease Department , Ankara , Turkey
| | - Serhat Unal
- h Hacettepe University Faculty of Medicine , Department of Infectious Diseases and Clinical Microbiology , Ankara , Turkey
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Torner N, Martínez A, Basile L, Mosquera MM, Antón A, Rius C, Sala MR, Minguell S, Plasencia E, Carol M, Godoy P, Follia N, Barrabeig I, Marcos MA, Pumarola T, Jané M. Descriptive study of severe hospitalized cases of laboratory-confirmed influenza during five epidemic seasons (2010-2015). BMC Res Notes 2018; 11:244. [PMID: 29655370 PMCID: PMC5899835 DOI: 10.1186/s13104-018-3349-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 04/06/2018] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE The Plan of Information on Acute Respiratory Infections in Catalonia (PIDIRAC) included the surveillance of severe hospitalized cases of laboratory-confirmed influenza (SHCLCI) in 2009. The objective of this study was to determine the clinical, epidemiological and virological features of SHCLCI recorded in 12 sentinel hospitals during five influenza seasons. RESULTS From a sample of SHCLCI recorded during the 5 influenza epidemics seasons from 2010-2011 to 2014-2015, Cases were confirmed by PCR and/or viral isolation in cell cultures from respiratory samples. A total of 1400 SHCLCI were recorded, 33% required ICU admission and 12% died. The median age of cases was 61 years (range 0-101 years); 70.5% were unvaccinated; 80.4% received antiviral treatment (in 79.6 and 24% of cases within 48 h after hospital admission and the onset of symptoms, respectively); influenza virus A [37.9% A (H1N1)pdm09, 29.3% A (H3N2)] was identified in 87.7% of cases. Surveillance of SHCLCI provides an estimate of the severity of seasonal influenza epidemics and the identification and characterization of at-risk groups in order to facilitate preventive measures such as vaccination and early antiviral treatment.
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Affiliation(s)
- Núria Torner
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
- CIBER Epidemiologia y Salud Pública CIBERESP, Madrid, Spain
- Departament of Public Health, University of Barcelona, Barcelona, Spain
| | - Ana Martínez
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
- CIBER Epidemiologia y Salud Pública CIBERESP, Madrid, Spain
| | - Luca Basile
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
| | - MMar Mosquera
- Microbiology Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Andrés Antón
- Microbiology Department, Hospital Universitari Vall d’Hebron de Barcelona, Barcelona, Spain
| | - Cristina Rius
- CIBER Epidemiologia y Salud Pública CIBERESP, Madrid, Spain
- Public Health Agency of Barcelona, Barcelona, Spain
| | - M. Rosa Sala
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
| | - Sofia Minguell
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
| | - Elsa Plasencia
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
| | - Mónica Carol
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
| | - Pere Godoy
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
- CIBER Epidemiologia y Salud Pública CIBERESP, Madrid, Spain
| | - Núria Follia
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
| | - Irene Barrabeig
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
| | - M. Angeles Marcos
- Microbiology Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Tomàs Pumarola
- Microbiology Department, Hospital Universitari Vall d’Hebron de Barcelona, Barcelona, Spain
| | - Mireia Jané
- Public Health Agency of Catalonia, Roc Boronat, 81-95, 08005 Barcelona, Spain
- CIBER Epidemiologia y Salud Pública CIBERESP, Madrid, Spain
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Rattanaumpawan P, Boonyasiri A, Vong S, Thamlikitkul V. Systematic review of electronic surveillance of infectious diseases with emphasis on antimicrobial resistance surveillance in resource-limited settings. Am J Infect Control 2018; 46:139-146. [PMID: 29029814 DOI: 10.1016/j.ajic.2017.08.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 08/07/2017] [Accepted: 08/07/2017] [Indexed: 12/24/2022]
Abstract
BACKGROUND Electronic surveillance of infectious diseases involves rapidly collecting, collating, and analyzing vast amounts of data from interrelated multiple databases. Although many developed countries have invested in electronic surveillance for infectious diseases, the system still presents a challenge for resource-limited health care settings. METHODS We conducted a systematic review by performing a comprehensive literature search on MEDLINE (January 2000-December 2015) to identify studies relevant to electronic surveillance of infectious diseases. Study characteristics and results were extracted and systematically reviewed by 3 infectious disease physicians. RESULTS A total of 110 studies were included. Most surveillance systems were developed and implemented in high-income countries; less than one-quarter were conducted in low-or middle-income countries. Information technologies can be used to facilitate the process of obtaining laboratory, clinical, and pharmacologic data for the surveillance of infectious diseases, including antimicrobial resistance (AMR) infections. These novel systems require greater resources; however, we found that using electronic surveillance systems could result in shorter times to detect targeted infectious diseases and improvement of data collection. CONCLUSIONS This study highlights a lack of resources in areas where an effective, rapid surveillance system is most needed. The availability of information technology for the electronic surveillance of infectious diseases, including AMR infections, will facilitate the prevention and containment of such emerging infectious diseases.
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Affiliation(s)
- Pinyo Rattanaumpawan
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Adhiratha Boonyasiri
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Sirenda Vong
- World Health Organization Regional Office for South-East Asia, New Delhi, India
| | - Visanu Thamlikitkul
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
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Arencibia A, Piñón A, Acosta B, Fernandez L, Muné M, Valdés O, Savón C, Oropesa S, Gonzalez G, Roque R, Gonzalez G, Hernández B, Alfonso JM. Vaccine-mismatched influenza B/Yamagata lineage viruses in Cuba, 2012-2013 season. INFECTION GENETICS AND EVOLUTION 2017; 58:110-114. [PMID: 29229320 DOI: 10.1016/j.meegid.2017.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 11/24/2017] [Accepted: 12/06/2017] [Indexed: 10/18/2022]
Abstract
Annual trivalent influenza vaccines contain one of influenza B lineages; influenza B/Victoria-lineage or influenza B/Yamagata viruses. Theoretically, these vaccines should protect against viruses expected to circulate in the next influenza season. The National Influenza Centers, based on surveillance data from National Reference Laboratories, selects the strains composing each annual trivalent or tetravalent vaccine. Nevertheless, in some epidemics, vaccine strains do not match genetically with circulating strains. The aim of the present study is to compare the HA1-domain of 42 influenza B viruses circulating in Cuba during the 2012-2013 season with the vaccine strain B/Wisconsin/01/2010-like virus from the B/Yamagata lineage, included in the 2012-2013 Northern-Hemisphere Influenza vaccine. The efficacy of the influenza vaccine was also estimated. The analysis of the present study indicates that the B/Victoria and B/Yamagata lineages co-circulated in Cuba in the 2012-2013 season. In 2012-2013 season, according to the sequences analysis, trivalent vaccine did not match with the circulating strains. The present study also detected amino acid substitutions which could have altered the antigenic properties of HA gene. The results presented here suggest the need to consider a possible introduction of tetravalent influenza vaccine in Cuba, as has been recommended by the WHO to ensure higher levels of protection.
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Affiliation(s)
| | - Alexander Piñón
- University of Miami, Miller School of Medicine, Department of Surgery Transplant, 1600 NW 10th Ave., Miami, FL 33136, United States
| | | | | | - Mayra Muné
- Pedro Kourí Tropical Medicine Institute, Cuba
| | | | - Clara Savón
- Pedro Kourí Tropical Medicine Institute, Cuba
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Seleka M, Treurnicht FK, Tempia S, Hellferscee O, Mtshali S, Cohen AL, Buys A, McAnerney JM, Besselaar TG, Pretorius M, von Gottberg A, Walaza S, Cohen C, Madhi SA, Venter M. Epidemiology of influenza B/Yamagata and B/Victoria lineages in South Africa, 2005-2014. PLoS One 2017; 12:e0177655. [PMID: 28542324 PMCID: PMC5444647 DOI: 10.1371/journal.pone.0177655] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 05/01/2017] [Indexed: 12/29/2022] Open
Abstract
Background Studies describing the epidemiology of influenza B lineages in South Africa are lacking. Methods We conducted a prospective study to describe the circulation of influenza B/Victoria and B/Yamagata lineages among patients of all ages enrolled in South Africa through three respiratory illness surveillance systems between 2005 and 2014: (i) the Viral Watch (VW) program enrolled outpatients with influenza-like illness (ILI) from private healthcare facilities during 2005–2014; (ii) the influenza-like illnesses program enrolled outpatients in public healthcare clinics (ILI/PHC) during 2012–2014; and (iii) the severe acute respiratory illnesses (SARI) program enrolled inpatients from public hospitals during 2009–2014. Influenza B viruses were detected by virus isolation during 2005 to 2009 and by real-time reverse transcription polymerase chain reaction from 2009–2014. Clinical and epidemiological characteristics of patients hospitalized with SARI and infected with different influenza B lineages were also compared using unconditional logistic regression. Results Influenza viruses were detected in 22% (8,706/39,804) of specimens from patients with ILI or SARI during 2005–2014, of which 24% (2,087) were positive for influenza B. Influenza B viruses predominated in all three surveillance systems in 2010. B/Victoria predominated prior to 2011 (except 2008) whereas B/Yamagata predominated thereafter (except 2012). B lineages co-circulated in all seasons, except in 2013 and 2014 for SARI and ILI/PHC surveillance. Among influenza B-positive SARI cases, the detection of influenza B/Yamagata compared to influenza B/Victoria was significantly higher in individuals aged 45–64 years (adjusted odds ratio [aOR]: 4.2; 95% confidence interval [CI]: 1.1–16.5) and ≥65 years (aOR: 12.2; 95% CI: 2.3–64.4) compared to children aged 0–4 years, but was significantly lower in HIV-infected patients (aOR: 0.4; 95% CI: 0.2–0.9). Conclusion B lineages co-circulated in most seasons except in 2013 and 2014. Hospitalized SARI cases display differential susceptibility for the two influenza B lineages, with B/Victoria being more prevalent among children and HIV-infected persons.
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Affiliation(s)
- Mpho Seleka
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
| | - Florette K. Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
- * E-mail:
| | - Stefano Tempia
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johanneburg, South Africa
| | - Senzo Mtshali
- Sequencing Core Facility, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
| | - Adam L. Cohen
- Global Influenza Program, World Health Organization (WHO), Geneva, Switzerland
| | - Amelia Buys
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
| | - Johanna M. McAnerney
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
| | - Terry G. Besselaar
- Global Influenza Program, World Health Organization (WHO), Geneva, Switzerland
| | - Marthi Pretorius
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johanneburg, South Africa
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
- Medical Research Council, Respiratory and Meningeal Pathogens Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shabir A. Madhi
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Services (NHLS), Johannesburg, South Africa
- Medical Research Council, Respiratory and Meningeal Pathogens Research Unit, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, University of the Witwatersrand, Johannesburg, South Africa
| | - Marietjie Venter
- Zoonoses Research Unit, Department of Medical Virology, University of Pretoria, Pretoria, South Africa
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Vila-Candel R, Navarro-Illana P, Navarro-Illana E, Castro-Sánchez E, Duke K, Soriano-Vidal FJ, Tuells J, Díez-Domingo J. Determinants of seasonal influenza vaccination in pregnant women in Valencia, Spain. BMC Public Health 2016; 16:1173. [PMID: 27871262 PMCID: PMC5117491 DOI: 10.1186/s12889-016-3823-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 11/04/2016] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND In most countries the coverage of seasonal influenza vaccination in pregnant women is low. We investigated the acceptance, reasons for rejection and professional involvement related to vaccine information in pregnant women in Valencia, Spain. METHODS Observational retrospective study in 200 pregnant women, 100 vaccinated and 100 unvaccinated, were interviewed during the 2014/2015 vaccination campaign. Electronic medical records, immunization registry and telephone interviews were used to determine reasons for vaccination and immunization rejection. RESULTS 40.5% of pregnant women in the health department were vaccinated. The midwife was identified as source of information for 89% of women. The vaccine was rejected due to low perceptions of risk of influenza infection (23%), lack of information (19%), considering the vaccine as superfluous (16%), close proximity of delivery date (13%) and fear of side effects (12%). CONCLUSION Pregnant women in Spain declined to be vaccinated due to under-estimation of the risk of contracting or being harmed by influenza, and lack of information. Interventions aiming to optimize vaccination coverage should include information addressing the safety and effectiveness of the current vaccine together with improved professional training and motivation.
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Affiliation(s)
- R Vila-Candel
- Midwifery at La Ribera Hospital Health Department, Carretera Corbera, km 1, 46600, Alzira, Valencia, Spain. rvila@hospital-ribera-.com.,Faculty of Nursing, Universidad Católica de Valencia" San Vicente Mártir", c/ Espartero, 7. 46007, Valencia, Spain. rvila@hospital-ribera-.com
| | - P Navarro-Illana
- Faculty of Nursing, Universidad Católica de Valencia" San Vicente Mártir", c/ Espartero, 7. 46007, Valencia, Spain
| | - E Navarro-Illana
- Faculty of Nursing, Universidad Católica de Valencia" San Vicente Mártir", c/ Espartero, 7. 46007, Valencia, Spain
| | - E Castro-Sánchez
- National Institute for Health Research Health Protection Research Unit (NIHR HPRU) In Healthcare Associated Infection and Antimicrobial Resistance at Imperial College London, Du Cane Road, London, W12 0NN, UK
| | - Kiri Duke
- Faculty of Nursing, Universidad Católica de Valencia" San Vicente Mártir", c/ Espartero, 7. 46007, Valencia, Spain
| | - F J Soriano-Vidal
- Faculty of Nursing, Universidad Católica de Valencia" San Vicente Mártir", c/ Espartero, 7. 46007, Valencia, Spain.,Xàtiva-Ontinyent Health Department, Ausias March, 46.800, Xativa, Spain
| | - J Tuells
- Cátedra de Vacunología Balmis, University of Alicante, Carretera de San Vicente del Raspeig, s/n. 03690, San Vicente del Raspeig, Alicante, Spain
| | - J Díez-Domingo
- Faculty of Nursing, Universidad Católica de Valencia" San Vicente Mártir", c/ Espartero, 7. 46007, Valencia, Spain.,Vaccine Research, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, FISABIO-Public Health, Avda. Catalunya, 21. 46020, Valencia, Spain
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27
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López-Labrador FX, Natividad-Sancho A, Pisareva M, Komissarov A, Salvatierra K, Fadeev A, Moya A, Grudinin M, Díez-Domingo J, Afanasieva O, Konovalova N, Sominina A, Puig-Barberà J. Genetic characterization of influenza viruses from influenza-related hospital admissions in the St. Petersburg and Valencia sites of the Global Influenza Hospital Surveillance Network during the 2013/14 influenza season. J Clin Virol 2016; 84:32-38. [PMID: 27690141 DOI: 10.1016/j.jcv.2016.09.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 09/06/2016] [Accepted: 09/19/2016] [Indexed: 02/07/2023]
Abstract
BACKGROUND Continuous surveillance for genetic changes in circulating influenza viruses is needed to guide influenza prevention and control. OBJECTIVES To compare intra-seasonal influenza genetic diversity of hemagglutinin in influenza A strains isolated from influenza hospital admissions collected at two distinct sites during the same season. STUDY DESIGN Comparative phylogenetic analysis of full-length hemagglutinin genes from 77 isolated influenza A viruses from the St. Petersburg, Russian Federation and Valencia, Spain sites of the Global Influenza Hospital Surveillance Network (GIHSN) during the 2013/14 season. RESULTS We found significant variability in A(H3N2) and A(H1N1)pdm09 viruses between the two sites, with nucleotide variation at antigenic positions much lower for A(H1N1)pdm09 than for A(H3N2) viruses. For A(H1N1)pdm09, antigenic sites differed by three to four amino acids from the vaccine strain, two of them common to all tested isolates. For A(H3N2) viruses, antigenic sites differed by six to nine amino acids from the vaccine strain, four of them common to all tested isolates. A fifth amino acid substitution in the antigenic sites of A(H3N2) defined a new clade, 3C.2. For both influenza A subtypes, pairwise amino acid distances between circulating viruses and vaccine strains were significantly higher at antigenic than at non-antigenic sites. Whereas A(H1N1)pdm09 viruses clustered with clade 6B and 94% of A(H3N2) with clade 3C.3, at both study sites A(H3N2) clade 3C.2 viruses emerged towards the end of the season, showing greater pairwise amino acid distances from the vaccine strain compared to the predominant clade 3C.3. CONCLUSIONS Influenza A antigenic variants differed between St. Petersburg and Valencia, and A(H3N2) clade 3C.2 viruses were characterized by more amino acid differences from the vaccine strain, especially at the antigenic sites.
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MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Child
- Child, Preschool
- Epidemiological Monitoring
- Female
- Genetic Variation
- Genome, Viral
- Global Health
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Humans
- Infant
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/isolation & purification
- Influenza A Virus, H3N2 Subtype/genetics
- Influenza A Virus, H3N2 Subtype/isolation & purification
- Influenza, Human/epidemiology
- Influenza, Human/virology
- Male
- Middle Aged
- Phylogeny
- RNA, Viral/genetics
- Russia/epidemiology
- Seasons
- Sequence Analysis, DNA
- Spain/epidemiology
- Young Adult
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Affiliation(s)
- F Xavier López-Labrador
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain; Joint Units of Infection and of Genomics and Health, FISABIO/Cavanilles Institute for Biodiversity and Evolutionary Biology, University of Valencia, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Publica (CIBER-ESP), Instituto de Salud Carlos III, Spain.
| | - Angels Natividad-Sancho
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain.
| | - Maria Pisareva
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Andrey Komissarov
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Karina Salvatierra
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain; Joint Units of Infection and of Genomics and Health, FISABIO/Cavanilles Institute for Biodiversity and Evolutionary Biology, University of Valencia, Spain.
| | - Artem Fadeev
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Andrés Moya
- Joint Units of Infection and of Genomics and Health, FISABIO/Cavanilles Institute for Biodiversity and Evolutionary Biology, University of Valencia, Spain.
| | - Mikhail Grudinin
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Javier Díez-Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain.
| | - Olga Afanasieva
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Nadezhda Konovalova
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Anna Sominina
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain.
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Puig-Barberà J, Burtseva E, Yu H, Cowling BJ, Badur S, Kyncl J, Sominina A. Influenza epidemiology and influenza vaccine effectiveness during the 2014-2015 season: annual report from the Global Influenza Hospital Surveillance Network. BMC Public Health 2016; 16 Suppl 1:757. [PMID: 27556802 PMCID: PMC5001209 DOI: 10.1186/s12889-016-3378-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
The Global Influenza Hospital Surveillance Network (GIHSN) has established a prospective, active surveillance, hospital-based epidemiological study to collect epidemiological and virological data for the Northern and Southern Hemispheres over several consecutive seasons. It focuses exclusively on severe cases of influenza requiring hospitalization. A standard protocol is shared between sites allowing comparison and pooling of results. During the 2014-2015 influenza season, the GIHSN included seven coordinating sites from six countries (St. Petersburg and Moscow, Russian Federation; Prague, Czech Republic; Istanbul, Turkey; Beijing, China; Valencia, Spain; and Rio de Janeiro, Brazil). Here, we present the detailed epidemiological and influenza vaccine effectiveness findings for the Northern Hemisphere 2014-2015 influenza season.
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Affiliation(s)
- Joan Puig-Barberà
- Foundation for the Promotion of Health and Biomedical Research in the Valencia Region FISABIO - Public Health, Avda Catalunya 21, 46020, Valencia, Spain.
| | - Elena Burtseva
- D.I. Ivanovsky Institute of Virology FGBC "N.F. Gamaleya FRCEM" Ministry of Health of Russian Federation, Moscow, Russian Federation, Russia
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Benjamin J Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Selim Badur
- National Influenza Reference Laboratory, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Jan Kyncl
- National Institute of Public Health (NIPH), Prague, Czech Republic
| | - Anna Sominina
- Research Institute of Influenza, Saint Petersburg, Russian Federation, Russia
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Makokha C, Mott J, Njuguna HN, Khagayi S, Verani JR, Nyawanda B, Otieno N, Katz MA. Comparison of severe acute respiratory illness (sari) and clinical pneumonia case definitions for the detection of influenza virus infections among hospitalized patients, western Kenya, 2009-2013. Influenza Other Respir Viruses 2016; 10:333-9. [PMID: 27219455 PMCID: PMC4910169 DOI: 10.1111/irv.12382] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2016] [Indexed: 12/13/2022] Open
Abstract
Although the severe acute respiratory illness (SARI) case definition is increasingly used for inpatient influenza surveillance, pneumonia is a more familiar term to clinicians and policymakers. We evaluated WHO case definitions for severe acute respiratory illness (SARI) and pneumonia (Integrated Management of Childhood Illnesses (IMCI) for children aged <5 years and Integrated Management of Adolescent and Adult Illnesses (IMAI) for patients aged ≥13 years) for detecting laboratory-confirmed influenza among hospitalized ARI patients. Sensitivities were 84% for SARI and 69% for IMCI pneumonia in children aged <5 years and 60% for SARI and 57% for IMAI pneumonia in patients aged ≥13 years. Clinical pneumonia case definitions may be a useful complement to SARI for inpatient influenza surveillance.
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Affiliation(s)
| | - Joshua Mott
- Centers for Disease Control and PreventionNairobiKenya
- Centers for Disease Control and Prevention (CDC)AtlantaGAUSA
| | | | | | - Jennifer R. Verani
- Centers for Disease Control and PreventionNairobiKenya
- Centers for Disease Control and Prevention (CDC)AtlantaGAUSA
| | | | - Nancy Otieno
- Kenya Medical Research Institute (KEMRI)KisumuKenya
| | - Mark A. Katz
- Centers for Disease Control and Prevention (CDC)AtlantaGAUSA
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30
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Puig-Barberà J, Natividad-Sancho A, Trushakova S, Sominina A, Pisareva M, Ciblak MA, Badur S, Yu H, Cowling BJ, El Guerche-Séblain C, Mira-Iglesias A, Kisteneva L, Stolyarov K, Yurtcu K, Feng L, López-Labrador X, Burtseva E. Epidemiology of Hospital Admissions with Influenza during the 2013/2014 Northern Hemisphere Influenza Season: Results from the Global Influenza Hospital Surveillance Network. PLoS One 2016; 11:e0154970. [PMID: 27196667 PMCID: PMC4873033 DOI: 10.1371/journal.pone.0154970] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 04/21/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The Global Influenza Hospital Surveillance Network was established in 2012 to obtain valid epidemiologic data on hospital admissions with influenza-like illness. Here we describe the epidemiology of admissions with influenza within the Northern Hemisphere sites during the 2013/2014 influenza season, identify risk factors for severe outcomes and complications, and assess the impact of different influenza viruses on clinically relevant outcomes in at-risk populations. METHODS Eligible consecutive admissions were screened for inclusion at 19 hospitals in Russia, Turkey, China, and Spain using a prospective, active surveillance approach. Patients that fulfilled a common case definition were enrolled and epidemiological data were collected. Risk factors for hospitalization with laboratory-confirmed influenza were identified by multivariable logistic regression. FINDINGS 5303 of 9507 consecutive admissions were included in the analysis. Of these, 1086 were influenza positive (534 A(H3N2), 362 A(H1N1), 130 B/Yamagata lineage, 3 B/Victoria lineage, 40 untyped A, and 18 untyped B). The risk of hospitalization with influenza (adjusted odds ratio [95% confidence interval]) was elevated for patients with cardiovascular disease (1.63 [1.33-2.02]), asthma (2.25 [1.67-3.03]), immunosuppression (2.25 [1.23-4.11]), renal disease (2.11 [1.48-3.01]), liver disease (1.94 [1.18-3.19], autoimmune disease (2.97 [1.58-5.59]), and pregnancy (3.84 [2.48-5.94]). Patients without comorbidities accounted for 60% of admissions with influenza. The need for intensive care or in-hospital death was not significantly different between patients with or without influenza. Influenza vaccination was associated with a lower risk of confirmed influenza (adjusted odds ratio = 0.61 [0.48-0.77]). CONCLUSIONS Influenza infection was detected among hospital admissions with and without known risk factors. Pregnancy and underlying comorbidity increased the risk of detecting influenza virus in patients hospitalized with influenza-like illness. Our results support influenza vaccination as a measure for reducing the risk of influenza-associated hospital admission.
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Affiliation(s)
- Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- * E-mail:
| | - Angels Natividad-Sancho
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
| | - Svetlana Trushakova
- D.I. Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health of Russian Federation, Moscow, Russian Federation
| | - Anna Sominina
- Research Institute of Influenza, St. Petersburg, Russian Federation
| | - Maria Pisareva
- Research Institute of Influenza, St. Petersburg, Russian Federation
| | - Meral A. Ciblak
- National Influenza Reference Laboratory, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Selim Badur
- National Influenza Reference Laboratory, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Benjamin J. Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
| | - Lidiya Kisteneva
- D.I. Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health of Russian Federation, Moscow, Russian Federation
| | - Kirill Stolyarov
- Research Institute of Influenza, St. Petersburg, Russian Federation
| | - Kubra Yurtcu
- National Influenza Reference Laboratory, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Luzhao Feng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xavier López-Labrador
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- Centro de Investigación Biomédica en Epidemiología y Salud Publica (CIBER-ESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Elena Burtseva
- D.I. Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health of Russian Federation, Moscow, Russian Federation
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Zhong PP, Zhang HL, Chen XF, Liang YF, Lin L, Yang SY, Sheng JY, Li CC. [Lower respiratory tract infection caused by influenza virus A and influenza virus B in Wenzhou, China: a clinical analysis of 366 children]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2016; 18:117-122. [PMID: 26903057 PMCID: PMC7403037 DOI: 10.7499/j.issn.1008-8830.2016.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Accepted: 12/09/2015] [Indexed: 06/05/2023]
Abstract
OBJECTIVE To compare the epidemiological and clinical features of lower respiratory tract infection (LRTI) caused by influenza virus A (IVA) and influenza virus B (IVB) in children. METHODS The clinical data of 366 children with LRTI caused by influenza virus (IV), who were hospitalized in Yuying Children′s Hospital of Wenzhou Medical University between 2010 and 2014, were analyzed retrospectively, and there were 272 cases caused by IVA and 94 cases caused by IVB. RESULTS IV was mainly prevalent from December to March of the next year, with the predominance of IVA. There were small peaks of IVA prevalence in July or September every other year, and IVB was prevalent from December to March of the next year every other year. The children with LRTI caused by IVA alone had a significantly higher white blood cell (WBC) count and significantly higher percentages of children with increased WBC, abnormal serum sodium, and abnormal serum potassium than those caused by IVB alone (P<0.05). However, there were no significant differences in age, sex, underlying diseases, clinical manifestations, and co-infection rate with bacteria or atypical pathogens between the two groups (P>0.05). The rate of co-infection with respiratory syncytial virus (RSV) was significantly higher in the IVB group than in the IVA group (P<0.01). CONCLUSIONS IVA is prevalent in winter and spring every year and has small peaks in summer every other year, while IVB is prevalent in winter and spring every other year. Compared with IVB, IVA causes more cases of increased WBC and electrolyte disturbance. The children infected with IVB are more likely to be co-infected with RSV. The children with LRTI caused by IVA and IVB have similar clinical manifestations.
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Affiliation(s)
- Pei-Pei Zhong
- Department of Respiratory Disease, Yuying Children′s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
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32
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Zhong PP, Zhang HL, Chen XF, Liang YF, Lin L, Yang SY, Sheng JY, Li CC. [Lower respiratory tract infection caused by influenza virus A and influenza virus B in Wenzhou, China: a clinical analysis of 366 children]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2016; 18:117-22. [PMID: 26903057 PMCID: PMC7403037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Accepted: 12/09/2015] [Indexed: 08/01/2024]
Abstract
OBJECTIVE To compare the epidemiological and clinical features of lower respiratory tract infection (LRTI) caused by influenza virus A (IVA) and influenza virus B (IVB) in children. METHODS The clinical data of 366 children with LRTI caused by influenza virus (IV), who were hospitalized in Yuying Children′s Hospital of Wenzhou Medical University between 2010 and 2014, were analyzed retrospectively, and there were 272 cases caused by IVA and 94 cases caused by IVB. RESULTS IV was mainly prevalent from December to March of the next year, with the predominance of IVA. There were small peaks of IVA prevalence in July or September every other year, and IVB was prevalent from December to March of the next year every other year. The children with LRTI caused by IVA alone had a significantly higher white blood cell (WBC) count and significantly higher percentages of children with increased WBC, abnormal serum sodium, and abnormal serum potassium than those caused by IVB alone (P<0.05). However, there were no significant differences in age, sex, underlying diseases, clinical manifestations, and co-infection rate with bacteria or atypical pathogens between the two groups (P>0.05). The rate of co-infection with respiratory syncytial virus (RSV) was significantly higher in the IVB group than in the IVA group (P<0.01). CONCLUSIONS IVA is prevalent in winter and spring every year and has small peaks in summer every other year, while IVB is prevalent in winter and spring every other year. Compared with IVB, IVA causes more cases of increased WBC and electrolyte disturbance. The children infected with IVB are more likely to be co-infected with RSV. The children with LRTI caused by IVA and IVB have similar clinical manifestations.
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Affiliation(s)
- Pei-Pei Zhong
- Department of Respiratory Disease, Yuying Children′s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
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Cvetanovska M, Milenkovik Z, Grozdanovski K, Kirova Uroshevik V, Cvetanovski V. The influence of comorbid factors in surviving of patients with severe form of seasonal influenza. MAKEDONSKO FARMACEVTSKI BILTEN 2016. [DOI: 10.33320/maced.pharm.bull.2016.62.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Elderly patients and patients with different comorbid conditions are at a higher risk of developing severe clinical course and lethal influenza outcome. The aim of this study was to define comorbid conditions in patients with a severe form of seasonal influenza, and to define their influence on lethal outcome. The study was a prospective, group comparison and was conducted at the University Clinic for Infectious Diseases in Skopje, Macedonia, during the period of January 01, 2012 to January 01, 2015. The study included 87 adult patients with a severe form of seasonal influenza, who were further categorized in to a group of either survived patients (n=75) and a group of deceased patients (n=12). Demographic parameters of the patients, as well as any comorbid medical conditions, such as cardiovascular disease, chronic lung disease, neurological diseases, weakened immune system, endocrine disorders, kidney disorders, liver disorders, pregnancy, overweight were noted upon admission in the hospital. The variables of the univariate analysis that showed a significant difference in terms of
the outcome were used for creating multivariate logistic and regression analysis to identify independent predictors for lethal outcome in severe cases of influenza. Multivariate analysis identified cardiovascular comorbid diseases (p=0.014), as an independent predictor of the outcome in patients with severe form of seasonal influenza. Influenza patients with cardiovascular diseases had 2.024 times greater risk
of death from influenza in comparison to patients having influenza without a history of such a disease (OR=2.024 95% CI 1.842-17.337).
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