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Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009–2010 in the UK

BACKGROUND: Although generally mild, the 2009–2010 influenza A/H1N1 pandemic caused two major surges in hospital admissions in the UK. The characteristics of patients admitted during successive waves are described. METHODS: Data were systematically obtained on 1520 patients admitted to 75 UK hospita...

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Autores principales: Myles, Puja R, Semple, Malcolm G, Lim, Wei Shen, Openshaw, Peter J M, Gadd, Elaine M, Read, Robert C, Taylor, Bruce L, Brett, Stephen J, McMenamin, James, Enstone, Joanne E, Armstrong, Colin, Bannister, Barbara, Nicholson, Karl G, Nguyen-Van-Tam, Jonathan S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402749/
https://www.ncbi.nlm.nih.gov/pubmed/22407890
http://dx.doi.org/10.1136/thoraxjnl-2011-200266
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author Myles, Puja R
Semple, Malcolm G
Lim, Wei Shen
Openshaw, Peter J M
Gadd, Elaine M
Read, Robert C
Taylor, Bruce L
Brett, Stephen J
McMenamin, James
Enstone, Joanne E
Armstrong, Colin
Bannister, Barbara
Nicholson, Karl G
Nguyen-Van-Tam, Jonathan S
author_facet Myles, Puja R
Semple, Malcolm G
Lim, Wei Shen
Openshaw, Peter J M
Gadd, Elaine M
Read, Robert C
Taylor, Bruce L
Brett, Stephen J
McMenamin, James
Enstone, Joanne E
Armstrong, Colin
Bannister, Barbara
Nicholson, Karl G
Nguyen-Van-Tam, Jonathan S
author_sort Myles, Puja R
collection PubMed
description BACKGROUND: Although generally mild, the 2009–2010 influenza A/H1N1 pandemic caused two major surges in hospital admissions in the UK. The characteristics of patients admitted during successive waves are described. METHODS: Data were systematically obtained on 1520 patients admitted to 75 UK hospitals between May 2009 and January 2010. Multivariable analyses identified factors predictive of severe outcome. RESULTS: Patients aged 5–54 years were over-represented compared with winter seasonal admissions for acute respiratory infection, as were non-white ethnic groups (first wave only). In the second wave patients were less likely to be school age than in the first wave, but their condition was more likely to be severe on presentation to hospital and they were more likely to have delayed admission. Overall, 45% had comorbid conditions, 16.5% required high dependency (level 2) or critical (level 3) care and 5.3% died. As in 1918–1919, the likelihood of severe outcome by age followed a W-shaped distribution. Pre-admission antiviral drug use decreased from 13.3% to 10% between the first and second waves (p=0.048), while antibiotic prescribing increased from 13.6% to 21.6% (p<0.001). Independent predictors of severe outcome were age 55–64 years, chronic lung disease (non-asthma, non-chronic obstructive pulmonary disease), neurological disease, recorded obesity, delayed admission (≥5 days after illness onset), pneumonia, C-reactive protein ≥100 mg/litre, and the need for supplemental oxygen or intravenous fluid replacement on admission. CONCLUSIONS: There were demographic, ethnic and clinical differences between patients admitted with pandemic H1N1 infection and those hospitalised during seasonal influenza activity. Despite national policies favouring use of antiviral drugs, few patients received these before admission and many were given antibiotics.
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spelling pubmed-34027492012-07-25 Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009–2010 in the UK Myles, Puja R Semple, Malcolm G Lim, Wei Shen Openshaw, Peter J M Gadd, Elaine M Read, Robert C Taylor, Bruce L Brett, Stephen J McMenamin, James Enstone, Joanne E Armstrong, Colin Bannister, Barbara Nicholson, Karl G Nguyen-Van-Tam, Jonathan S Thorax Respiratory Infection BACKGROUND: Although generally mild, the 2009–2010 influenza A/H1N1 pandemic caused two major surges in hospital admissions in the UK. The characteristics of patients admitted during successive waves are described. METHODS: Data were systematically obtained on 1520 patients admitted to 75 UK hospitals between May 2009 and January 2010. Multivariable analyses identified factors predictive of severe outcome. RESULTS: Patients aged 5–54 years were over-represented compared with winter seasonal admissions for acute respiratory infection, as were non-white ethnic groups (first wave only). In the second wave patients were less likely to be school age than in the first wave, but their condition was more likely to be severe on presentation to hospital and they were more likely to have delayed admission. Overall, 45% had comorbid conditions, 16.5% required high dependency (level 2) or critical (level 3) care and 5.3% died. As in 1918–1919, the likelihood of severe outcome by age followed a W-shaped distribution. Pre-admission antiviral drug use decreased from 13.3% to 10% between the first and second waves (p=0.048), while antibiotic prescribing increased from 13.6% to 21.6% (p<0.001). Independent predictors of severe outcome were age 55–64 years, chronic lung disease (non-asthma, non-chronic obstructive pulmonary disease), neurological disease, recorded obesity, delayed admission (≥5 days after illness onset), pneumonia, C-reactive protein ≥100 mg/litre, and the need for supplemental oxygen or intravenous fluid replacement on admission. CONCLUSIONS: There were demographic, ethnic and clinical differences between patients admitted with pandemic H1N1 infection and those hospitalised during seasonal influenza activity. Despite national policies favouring use of antiviral drugs, few patients received these before admission and many were given antibiotics. BMJ Group 2012-03-10 2012-08 /pmc/articles/PMC3402749/ /pubmed/22407890 http://dx.doi.org/10.1136/thoraxjnl-2011-200266 Text en © 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Respiratory Infection
Myles, Puja R
Semple, Malcolm G
Lim, Wei Shen
Openshaw, Peter J M
Gadd, Elaine M
Read, Robert C
Taylor, Bruce L
Brett, Stephen J
McMenamin, James
Enstone, Joanne E
Armstrong, Colin
Bannister, Barbara
Nicholson, Karl G
Nguyen-Van-Tam, Jonathan S
Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009–2010 in the UK
title Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009–2010 in the UK
title_full Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009–2010 in the UK
title_fullStr Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009–2010 in the UK
title_full_unstemmed Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009–2010 in the UK
title_short Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009–2010 in the UK
title_sort predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza a/h1n1 pandemic 2009–2010 in the uk
topic Respiratory Infection
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402749/
https://www.ncbi.nlm.nih.gov/pubmed/22407890
http://dx.doi.org/10.1136/thoraxjnl-2011-200266
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