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Suárez‐Sánchez P, Majuelos‐Melguizo J, Hinojosa‐Campos M, Podmore B, Gillespie I, Han J, Sloot R, Christensen D. Mortality Risk Among Patients With Influenza Illness Admitted to the ICU: A Systematic Review and Meta-Analysis. Influenza Other Respir Viruses 2025; 19:e70073. [PMID: 40090895 PMCID: PMC11911131 DOI: 10.1111/irv.70073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 12/27/2024] [Accepted: 01/12/2025] [Indexed: 03/18/2025] Open
Abstract
BACKGROUND Despite vaccination programs and available treatments, seasonal influenza carries a large mortality burden, especially in intensive care unit (ICU) settings. Understanding the influenza mortality burden in ICU settings can inform treatment planning and resource allocation. Nonetheless, surveillance data on mortality in ICU-admitted patients are scarce and estimates vary greatly. This systematic literature review (SLR) and meta-analysis investigated all-cause mortality risk among ICU-admitted patients with influenza in Europe. METHODS We included observational studies conducted in Europe that reported mortality among patients ≥ 6 months of age with influenza admitted to the ICU. Studies published between January-2009 and December-2019 were included. Quality was assessed using a modified Newcastle-Ottawa scale. Pooled all-cause mortality risk was calculated as a proportion using a random-effects model with an inverse variance method. A sensitivity analysis was also conducted, including only studies identified as having low risk of bias. RESULTS Thirty-seven studies, reporting on 13,616 patients, were included. All-cause mortality ranged from 0% to 67%. The overall pooled mortality risk estimate was 0.24 (95% CI: 0.20, 0.27). Study heterogeneity was high (Cochran's Q test p < 0.01, I2 = 93%). The sensitivity analysis using only studies identified as having low risk of bias produced a pooled mortality risk of 0.25 (95%CI: 0.21, 0.29). CONCLUSIONS These results indicate that approximately a quarter of patients with influenza admitted to the ICU die, reinforcing the need for effective vaccination programs and treatment optimization.
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Valenzuela-Sánchez F, Valenzuela-Méndez B, Rodríguez-Gutiérrez JF, Estella Á. Latest developments in early diagnosis and specific treatment of severe influenza infection. JOURNAL OF INTENSIVE MEDICINE 2024; 4:160-174. [PMID: 38681787 PMCID: PMC11043645 DOI: 10.1016/j.jointm.2023.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/19/2023] [Accepted: 09/26/2023] [Indexed: 05/01/2024]
Abstract
Influenza pandemics are unpredictable recurrent events with global health, economic, and social consequences. The objective of this review is to provide an update on the latest developments in early diagnosis and specific treatment of the disease and its complications, particularly with regard to respiratory organ failure. Despite advances in treatment, the rate of mortality in the intensive care unit remains approximately 30%. Therefore, early identification of potentially severe viral pneumonia is extremely important to optimize treatment in these patients. The pathogenesis of influenza virus infection depends on viral virulence and host response. Thus, in some patients, it is associated with an excessive systemic response mediated by an authentic cytokine storm. This process leads to severe primary pneumonia and acute respiratory distress syndrome. Initial prognostication in the emergency department based on comorbidities, vital signs, and biomarkers (e.g., procalcitonin, ferritin, human leukocyte antigen-DR, mid-regional proadrenomedullin, and lactate) is important. Identification of these biomarkers on admission may facilitate clinical decision-making to determine early admission to the hospital or the intensive care unit. These decisions are reached considering pathophysiological circumstances that are associated with a poor prognosis (e.g., bacterial co-infection, hyperinflammation, immune paralysis, severe endothelial damage, organ dysfunction, and septic shock). Moreover, early implementation is important to increase treatment efficacy. Based on a limited level of evidence, all current guidelines recommend using oseltamivir in this setting. The possibility of drug resistance should also be considered. Alternative options include other antiviral drugs and combination therapies with monoclonal antibodies. Importantly, it is not recommended to use corticosteroids in the initial treatment of these patients. Furthermore, the implementation of supportive measures for respiratory failure is essential. Current recommendations are limited, heterogeneous, and not regularly updated. Early intubation and mechanical ventilation is the basic treatment for patients with severe respiratory failure. Prone ventilation should be promptly performed in patients with acute respiratory distress syndrome, while early tracheostomy should be considered in case of planned prolonged mechanical ventilation. Clinical trials on antiviral treatment and respiratory support measures specifically for these patients, as well as specific recommendations for different at-risk populations, are necessary to improve outcomes.
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Affiliation(s)
- Francisco Valenzuela-Sánchez
- Intensive Care Unit, University Hospital of Jerez, Ronda de Circunvalación s/n, Jerez de la Frontera, Spain
- Haematology Department, University Hospital of Jerez, Ronda de Circunvalación s/n, Jerez de la Frontera, Spain
- Centro de Investigación Biomédica en Red, Enfermedades respiratorias, CIBERES, Instituto de Salud Carlos III, Av. de Monforte de Lemos, Madrid, Spain
| | - Blanca Valenzuela-Méndez
- Department of Oncological Surgery, Institut du Cancer de Montpellier (ICM), Parc Euromédecine, 208 Av. des Apothicaires,Montpellier, France
| | | | - Ángel Estella
- Intensive Care Unit, University Hospital of Jerez, Ronda de Circunvalación s/n, Jerez de la Frontera, Spain
- Department of Medicine, Faculty of Medicine, University of Cádiz, Calle Doctor Marañón, Cádiz, Spain
- Instituto de Investigación e Innovación Biomédica de Cádiz (INIBiCA), Avenida Ana de Viya 21, Cádiz, Spain
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3
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Plasma Levels of Mid-Regional Proadrenomedullin Accurately Identify H1N1pdm09 Influenza Virus Patients with Risk of Intensive Care Admission and Mortality in the Emergency Department. J Pers Med 2022; 12:jpm12010084. [PMID: 35055399 PMCID: PMC8777718 DOI: 10.3390/jpm12010084] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/24/2021] [Accepted: 12/28/2021] [Indexed: 12/19/2022] Open
Abstract
Early identification of severe viral pneumonia in influenza virus A (H1N1pdm09) patients is extremely important for prompt admission to the ICU. The objective is to evaluate the usefulness of MR-proadrenomedullin (MR-proADM) compared to C reactive protein (CRP), procalcitonin (PCT), and ferritin in the prognosis of influenza A pneumonia. This prospective, observational, multicenter study included one hundred thirteen patients with confirmed influenza virus A (H1N1pdm09) admitted to an Emergency Department and ICUs of six hospitals in Spain. Measurements and Main Results: one-hundred thirteen patients with confirmed influenza virus A (H1N1pdm09) were enrolled. Seventy-five subjects (mortality 29.3%) with severe pneumonia caused by influenza A H1N1pdm09 virus (H1N1vIPN) were compared with 38 controls (CG).The median MR-proADM levels at hospital admission were 1.2 nmol/L (IQR (0.8–2.6) vs. 0.5 nmol/L (IQR 0.2–0.9) in the CG (p = 0.01), and PCT levels were 0.43 μg/L (IQR 0.2–1.2) in the H1N1vIPN group and 0.1 μg/L (IQR 0.1–0.2) in the CG (p < 0.01). CRP levels at admission were 15.5 mg/dL(IQR 9.2–24.9) in H1N1vIPN and 8.6 mg/dL(IQR 3–17.3) in the CG (p < 0.01). Ferritin levels at admission were 558.1 ng/mL(IQR 180–1880) in H1N1vIPN and 167.7 ng/mL(IQR 34.8–292.9) in the CG (p < 0.01). A breakpoint for hospital admission of MR-proADM of 1.1 nmol/L showed a sensitivity of 55% and a specificity of 90% (AUC-ROC0.822). Non-survivors showed higher MR-proADM levels: median of 2.5 nmol/L vs. 0.9 nmol/L among survivors (p < 0.01). PCT, CRP, and ferritin levels also showed significant differences in predicting mortality. The MR-proADM AUC-ROC for mortality was 0.853 (p < 0.01). In a Cox proportional hazards model, MR-proADM levels > 1.2 nmol/L at hospital admission were significant predictive factors for ICU and 90-day mortality (HR: 1.3). Conclusions: the initial MR-proADM, ferritin, CRP, and PCT levels effectively determine adverse outcomes and risk of ICU admission and mortality in patients with influenza virus pneumonia. MR-proADM has the highest potency for survival prediction.
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Qalla-Widmer L, Héquet D, Troillet N, Petignat C, Balmelli C, Bassi C, Bellini C, Chave JP, Cometta A, Christin L, Clerc O, Daher O, Fuehrer U, Marchetti O, Merz L, Portillo V, Pralong G, Sandoz L, Senn L, Tâche F, Iten A. Nosocomial influenza in south-western Swiss hospitals during two seasonal epidemics: an observational study. J Hosp Infect 2021; 109:115-122. [PMID: 33422590 DOI: 10.1016/j.jhin.2020.12.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 11/24/2020] [Accepted: 12/13/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND In Switzerland each year, influenza leads to between 112,000 and 275,000 medical consultations. Data on nosocomial influenza infection are limited. AIM To describe nosocomial cases of seasonal influenza in south-western Switzerland. METHODS This study was conducted during two seasonal influenza epidemics from 2016 to 2018 in 27 acute care public hospitals in south-western Switzerland. During these two time-periods, every patient hospitalized for >72 h who was positively screened by reverse transcription-polymerase chain reaction or antigen detection for influenza was included in the survey. Characteristics of patients included age, sex, and comorbidities. Included patients were followed up until discharge or death. Complications and administration of antineuraminidases and/or antibiotics were registered. FINDINGS The median influenza vaccine coverage of healthcare workers was 40%. In all, 836 patients were included (98% with type A influenza virus in 2016-2017; 77% with type B virus in 2017-2018). Most patients (81%) had an unknown vaccine status. Overall, the incidence of nosocomial influenza was 0.5 per 100 admissions (0.35 per 1000 patient-days). The most frequent comorbidities were diabetes (20%), chronic respiratory diseases (19%), and malnutrition (17%). Fever (77%) and cough (66%) were the most frequent symptoms. Seventy-one percent of patients received antineuraminidases, 28% received antibiotics. Infectious complications such as pneumonia were reported in 9%. Overall, the all-cause mortality was 6%. CONCLUSION The occurrence of nosocomial influenza underlines the importance of vaccinating patients and healthcare workers, rapidly recognizing community- or hospital-acquired cases, and applying adequate additional measures to prevent dissemination, including the timely administration of antineuraminidases to avoid antibiotic use (and misuse).
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Affiliation(s)
- L Qalla-Widmer
- Cantonal Unit for Infection Control and Prevention, Public Health Service, Lausanne, Switzerland
| | - D Héquet
- Cantonal Unit for Infection Control and Prevention, Public Health Service, Lausanne, Switzerland.
| | - N Troillet
- Service of Infectious Diseases, Central Institute, Valais Hospital, Sion, Switzerland
| | - C Petignat
- Cantonal Unit for Infection Control and Prevention, Public Health Service, Lausanne, Switzerland
| | - C Balmelli
- Servizio di Prevenzione delle Infezioni e Medicina del Personale, Ente Ospedaliero Cantonale, Ticino, Switzerland
| | - C Bassi
- Prevention and Control of Infection, Hôpital du Jura Bernois, Moutier, Saint-Imier, Switzerland
| | - C Bellini
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - J-P Chave
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - A Cometta
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - L Christin
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - O Clerc
- Department of Internal Medicine and Infectious Diseases, Pourtalès Hospital, Neuchâtel, Switzerland
| | - O Daher
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - U Fuehrer
- Department of Internal Medicine and Infectious Diseases, Hôpital de Bienne, Switzerland
| | - O Marchetti
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - L Merz
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - V Portillo
- Prevention and Control of Infection, Hôpital du Jura, Switzerland
| | - G Pralong
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - L Sandoz
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - L Senn
- Service of Hospital Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - F Tâche
- Hospitals and Clinics of the Canton of Vaud, Switzerland
| | - A Iten
- Infection Control Program, Geneva University Hospitals, Geneva, Switzerland
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Abstract
PURPOSE OF REVIEW Overview of influenza infection, focusing on outcome and complications in critically ill patients. We also discuss relevant elements in immunopathogenesis and their role as predictors of severity. RECENT FINDINGS Pandemic influenza A (H1N1) virus circulates seasonally and remains the predominant subtype among intensive care patients. Mortality in acute respiratory failure (ARF) is around 20%, independent of influenza subtypes. During severe infection, the imbalance between pro-inflammatory and anti-inflammatory molecules, such as Th1 and Th17 cytokines, is associated with complicated infections and mortality. Primary viral pneumonia presents in more than 70% of ICU influenza patients and more than 50% develop acute respiratory distress syndrome. Bacterial secondary infection occurs in 20% of severe cases and Streptococcus pneumoniae and Staphylococcus aureus remain the prevalent pathogens. Myocarditis and late-onset cardiovascular complications are associated with mortality. Antiviral therapy within 48 h after onset, avoidance of corticosteroids and rescue therapies for ARF or myocarditis, such as extracorporeal membrane oxygenation, improve survival. SUMMARY The present review summarizes current knowledge on pathogenesis and clinical manifestations of severe influenza. Immunological dysfunction during viral infection correlates with severity and mortality among ICU patients. A theranostics strategy should be implemented to improve outcomes.
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Vandroux D, Allyn J, Ferdynus C, Gaüzere BA, Kerambrun H, Galas T, Allou N, Persichini R, Martinet O, Jabot J. Mortality of critically ill patients with severe influenza starting four years after the 2009 pandemic. Infect Dis (Lond) 2019; 51:831-837. [DOI: 10.1080/23744235.2019.1668957] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Affiliation(s)
- David Vandroux
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
- René Labusquière Centre of Tropical Medicine, University of Bordeaux, Bordeaux Cedex, France
- UMR 1094 Neuroépidémiologie Tropicale, University of Limoges, Limoges, France
| | - Jérôme Allyn
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
| | | | - Bernard-Alex Gaüzere
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
- René Labusquière Centre of Tropical Medicine, University of Bordeaux, Bordeaux Cedex, France
| | - Hugo Kerambrun
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
| | - Thomas Galas
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
| | - Nicolas Allou
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
| | - Romain Persichini
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
| | - Olivier Martinet
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
| | - Julien Jabot
- Intensive Care Unit, Félix Guyon Hospital, University Teaching Hospital of La Réunion, Saint Denis, France
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7
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Ortiz de Lejarazu Leonardo R, Rojo Rello S, Sanz Muñoz I. Diagnostic challenges in influenza. Enferm Infecc Microbiol Clin 2019; 37 Suppl 1:47-55. [PMID: 31138423 DOI: 10.1016/s0213-005x(19)30182-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
In 2018 there are still microbiology laboratories that do not subtype or detect influenza viruses, one of the main agents of community-acquired pneumonia. A major challenge is to introduce multiplex-type technologies into most clinical virological diagnostic laboratories, increasing the feasibility of timely etiological diagnosis of influenza and other respiratory viruses whenever required and thus limiting antibiotic treatments. Other diagnostic tools such as markers of severity and the detection of resistance are pending challenges to complete and expand. Viral culture, an essential tool in the epidemiological surveillance of viruses, has been relegated by more sensitive and affordable molecular techniques. Sequencing of the influenza virus together with the antigenic characterisation and detection techniques of antibodies against hemagglutinin and neuraminidase will, in future, be used in tandem with other techniques to detect antibodies against other structural proteins, helping to elucidate the complicated epidemiology of these viruses and the production of new vaccines and their evaluation. Supplement information: This article is part of a supplement entitled «SEIMC External Quality Control Programme. Year 2016», which is sponsored by Roche, Vircell Microbiologists, Abbott Molecular and Francisco Soria Melguizo, S.A. © 2019 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosasy Microbiología Clínica. All rights reserved.
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Affiliation(s)
- Raúl Ortiz de Lejarazu Leonardo
- Centro Nacional de Gripe de Valladolid, Universidad de Valladolid, Valladolid, España; Servicio de Microbiología e Inmunología, Hospital Clínico Universitario de Valladolid, Valladolid, España.
| | - Silvia Rojo Rello
- Centro Nacional de Gripe de Valladolid, Universidad de Valladolid, Valladolid, España; Servicio de Microbiología e Inmunología, Hospital Clínico Universitario de Valladolid, Valladolid, España
| | - Iván Sanz Muñoz
- Centro Nacional de Gripe de Valladolid, Universidad de Valladolid, Valladolid, España
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8
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Marin-Corral J, Climent C, Muñoz R, Samper M, Dot I, Vilà C, Masclans J, Rodriguez A, Martin-Loeches I, Álvarez-Lerma F. Pacientes con gripe por el virus influenza A (H1N1)pdm09 ingresados en la UCI. Impacto de las recomendaciones de la SEMICYUC. Med Intensiva 2018; 42:473-481. [DOI: 10.1016/j.medin.2018.02.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 01/23/2018] [Accepted: 02/01/2018] [Indexed: 01/24/2023]
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9
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Gefenaite G, Pistol A, Popescu R, Popovici O, Ciurea D, Dolk C, Jit M, Gross D. Estimating burden of influenza-associated influenza-like illness and severe acute respiratory infection at public healthcare facilities in Romania during the 2011/12-2015/16 influenza seasons. Influenza Other Respir Viruses 2017; 12:183-192. [PMID: 29144598 PMCID: PMC5818344 DOI: 10.1111/irv.12525] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2017] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Influenza is responsible for substantial morbidity and mortality, but there is limited information on reliable disease burden estimates, especially from middle-income countries in the WHO European Region. OBJECTIVES To estimate the incidence of medically attended influenza-associated influenza-like illness (ILI) and hospitalizations due to severe acute respiratory infection (SARI) presenting to public healthcare facilities in Romania. PATIENTS/METHODS Sentinel influenza surveillance data for ILI and SARI from 2011/12-2015/16, including virological data, were used to estimate influenza-associated ILI and SARI incidence/100 000 and their 95% confidence intervals (95% CI). RESULTS The overall annual incidence of ILI and influenza-associated ILI per 100 000 persons in Romania varied between 68 (95% CI: 61-76) and 318 (95% CI: 298-338) and between 23 (95% CI: 19-29) and 189 (95% CI: 149-240), respectively. The highest ILI and influenza incidence was among children aged 0-4 years. We estimated that SARI incidence per 100 000 persons was 6 (95% CI: 5-7) to 9 (95% CI: 8-10), of which 2 (95% CI: 1-2) to 3 (95% CI: 2-4) were due to influenza. Up to 0.3% of the Romanian population were annually reported with ILI, and 0.01% was hospitalized with SARI, of which as much as one-third could be explained by influenza. CONCLUSIONS This evaluation was the first study estimating influenza burden in Romania. We found that during each influenza season, a substantial number of persons in Romania suffer from influenza-related ILI or are hospitalized due to influenza-associated SARI.
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Affiliation(s)
- Giedre Gefenaite
- Infectious Hazards Management, Division of Health Emergencies and Communicable Diseases, WHO Regional Office for Europe, Copenhagen, Denmark.,Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Adriana Pistol
- National Center for Communicable Diseases Surveillance and Control, National Institute of Public Health, Bucharest, Romania
| | - Rodica Popescu
- National Center for Communicable Diseases Surveillance and Control, National Institute of Public Health, Bucharest, Romania
| | - Odette Popovici
- National Center for Communicable Diseases Surveillance and Control, National Institute of Public Health, Bucharest, Romania
| | - Daniel Ciurea
- Center for Health Policies and Services, Bucharest, Romania
| | - Christiaan Dolk
- Infectious Hazards Management, Division of Health Emergencies and Communicable Diseases, WHO Regional Office for Europe, Copenhagen, Denmark.,PharmacoTherapy, - Epidemiology & -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Mark Jit
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Diane Gross
- Infectious Hazards Management, Division of Health Emergencies and Communicable Diseases, WHO Regional Office for Europe, Copenhagen, Denmark
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10
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Álvarez-Lerma F, Marín-Corral J, Vilà C, Masclans J, Loeches I, Barbadillo S, González de Molina F, Rodríguez A. Characteristics of patients with hospital-acquired influenza A (H1N1)pdm09 virus admitted to the intensive care unit. J Hosp Infect 2017; 95:200-206. [DOI: 10.1016/j.jhin.2016.12.017] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 12/20/2016] [Indexed: 10/20/2022]
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11
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Álvarez-Lerma F, Marín-Corral J, Vila C, Masclans JR, González de Molina FJ, Martín Loeches I, Barbadillo S, Rodríguez A. Delay in diagnosis of influenza A (H1N1)pdm09 virus infection in critically ill patients and impact on clinical outcome. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2016; 20:337. [PMID: 27770828 PMCID: PMC5075413 DOI: 10.1186/s13054-016-1512-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Accepted: 09/26/2016] [Indexed: 12/29/2022]
Abstract
BACKGROUND Patients infected with influenza A (H1N1)pdm09 virus requiring admission to the ICU remain an important source of mortality during the influenza season. The objective of the study was to assess the impact of a delay in diagnosis of community-acquired influenza A (H1N1)pdm09 virus infection on clinical outcome in critically ill patients admitted to the ICU. METHODS A prospective multicenter observational cohort study was based on data from the GETGAG/SEMICYUC registry (2009-2015) collected by 148 Spanish ICUs. All patients admitted to the ICU in which diagnosis of influenza A (H1N1)pdm09 virus infection had been established within the first week of hospitalization were included. Patients were classified into two groups according to the time at which the diagnosis was made: early (within the first 2 days of hospital admission) and late (between the 3rd and 7th day of hospital admission). Factors associated with a delay in diagnosis were assessed by logistic regression analysis. RESULTS In 2059 ICU patients diagnosed with influenza A (H1N1)pdm09 virus infection within the first 7 days of hospitalization, the diagnosis was established early in 1314 (63.8 %) patients and late in the remaining 745 (36.2 %). Independent variables related to a late diagnosis were: age (odds ratio (OR) = 1.02, 95 % confidence interval (CI) 1.01-1.03, P < 0.001); first seasonal period (2009-2012) (OR = 2.08, 95 % CI 1.64-2.63, P < 0.001); days of hospital stay before ICU admission (OR = 1.26, 95 % CI 1.17-1.35, P < 0.001); mechanical ventilation (OR = 1.58, 95 % CI 1.17-2.13, P = 0.002); and continuous venovenous hemofiltration (OR = 1.54, 95 % CI 1.08-2.18, P = 0.016). The intra-ICU mortality was significantly higher among patients with late diagnosis as compared with early diagnosis (26.9 % vs 17.1 %, P < 0.001). Diagnostic delay was one independent risk factor for mortality (OR = 1.36, 95 % CI 1.03-1.81, P < 0.001). CONCLUSIONS Late diagnosis of community-acquired influenza A (H1N1)pdm09 virus infection is associated with a delay in ICU admission, greater possibilities of respiratory and renal failure, and higher mortality rate. Delay in diagnosis of flu is an independent variable related to death.
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Affiliation(s)
- Francisco Álvarez-Lerma
- Service of Intensive Care Medicine, Hospital del Mar, Passeig Marítim 25-29, E-08003, Barcelona, Spain. .,Research Group in Critical Disorders (GREPAC), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain. .,Universitat Autónoma de Barcelona, Barcelona, Spain.
| | - Judith Marín-Corral
- Service of Intensive Care Medicine, Hospital del Mar, Passeig Marítim 25-29, E-08003, Barcelona, Spain.,Research Group in Critical Disorders (GREPAC), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Clara Vila
- Service of Intensive Care Medicine, Hospital del Mar, Passeig Marítim 25-29, E-08003, Barcelona, Spain
| | - Joan Ramón Masclans
- Service of Intensive Care Medicine, Hospital del Mar, Passeig Marítim 25-29, E-08003, Barcelona, Spain.,Research Group in Critical Disorders (GREPAC), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.,CIBER de Enfermedades Respiratorias (CIBERES), Madrid, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | | | | | - Sandra Barbadillo
- Service of Intensive Care Medicine, Hospital General de Catalunya, Sant Cugat del Vallés, Barcelona, Spain
| | - Alejandro Rodríguez
- CIBER de Enfermedades Respiratorias (CIBERES), Madrid, Spain.,Service of Intensive Care Medicine, Hospital Universitari Joan XXIII, IISPV-URV, Tarragona, Spain
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12
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Influenza infection in ICU. Enferm Infecc Microbiol Clin 2016; 34:468. [DOI: 10.1016/j.eimc.2015.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 06/03/2015] [Indexed: 11/18/2022]
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13
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Personalized medicine in severe influenza. Eur J Clin Microbiol Infect Dis 2016; 35:893-7. [PMID: 26936615 PMCID: PMC7101819 DOI: 10.1007/s10096-016-2611-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Accepted: 02/11/2016] [Indexed: 12/17/2022]
Abstract
Existing therapies against infectious diseases may only be effective in limited subpopulations during specific phases of diseases, incorporating theranostics, and there is a clear need to individualize different therapeutic approaches depending on the host. Influenza A virus infection evolves into a severe respiratory failure in some young adult patients, related to an exaggerated inflammatory response. Mortality rates remain high despite antiviral treatment and aggressive respiratory support. The influenza A virus (IAV) infection will induce a proinflammatory innate immune response through recognition of viral RNA by Toll-like receptor (TLR) 7 and retinoic acid-inducible gene 1 (RIG-I) molecules by nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB route). Anti-inflammatory therapies focused on modulating this inflammatory response to “all patients” have not been satisfactory. Steroids should be avoided because they do not improve survival and promote superinfections. Since clinical judgment has often been proven inadequate, interest in the use of biomarkers to monitor host response and to assess severity and complications is growing. It is well known that, if used appropriately, these can be helpful tools to predict not only severity but also mortality. We need more biomarkers that predict host response: it is time to change lactate measurement to proteomics and transcriptomics. Theranostics describes an approach covering both diagnosis and coupled therapy. Death is usually a fatal complication of a dysregulated immune response more than the acute virulence of the infectious agent. Future research demonstrating the usefulness of adjunctive therapy in a subset of critically ill patients with IAV pneumonia is an unmet clinical need.
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Rello J, Perez A. Precision medicine for the treatment of severe pneumonia in intensive care. Expert Rev Respir Med 2016; 10:297-316. [PMID: 26789703 DOI: 10.1586/17476348.2016.1144477] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Despite advances in its management, community-acquired pneumonia (CAP) remains the most important cause of sepsis-related mortality and the reason for many ICU admissions. Severity assessment is the cornerstone of CAP patient management and the attempts to ensure the best site of care and therapy. Survival depends on a combination of host factors (genetic, age, comorbidities, defenses), pathogens (virulence, serotypes) and drugs. To reduce CAP mortality, early adequate antibiotic therapy is fundamental. The use of combination therapy with a macrolide seems to improve the clinical outcome in the subset of patients with high inflammation due to immunomodulation. Guidelines on antibiotic therapy have been associated with beneficial effects, and studies of newer adjunctive drugs have produced promising results. This paper discusses the current state of knowledge regarding of precision medicine and the treatment of severe CAP patients.
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Affiliation(s)
- Jordi Rello
- a CIBERES , Barcelona , Spain.,b School of Medicine , Universitat Autonoma de Barcelona , Barcelona , Spain
| | - Antonio Perez
- a CIBERES , Barcelona , Spain.,b School of Medicine , Universitat Autonoma de Barcelona , Barcelona , Spain
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