Difference between revisions of "PLoS ONE (2017) von der Beck"

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;Authors:[[Has first author::Daniel Von Der Beck]]{{Link to affiliation|l1=1}}, [[Has author::Werner Seeger]]{{Link to affiliation|l1=1}}, [[Has author::Susanne Herold]]{{Link to affiliation|l1=1}}, [[Has author::Andreas Günther]]{{Link to affiliation|l1=1}}, [[Has author::Benjamin Löh]]{{Link to affiliation|l1=1}}
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;Authors:[[Has first author::Daniel Von Der Beck]]{{Link to affiliation|l1=1}}, [[Has author::Werner Seeger]]{{Link to affiliation|l1=1}}, [[Has author::Susanne Herold]]{{Link to affiliation|l1=1}}, [[Has author::Andreas Günther]]{{Link to affiliation|l1=1|l2=2}}, [[Has author::Benjamin Löh]]{{Link to affiliation|l1=1|l2=2}}
 
;Affiliations:
 
;Affiliations:
 
* {{Affiliation anchor|l=1}} Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.
 
* {{Affiliation anchor|l=1}} Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.
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* {{Affiliation anchor|l=2}} Agaplesion Lung Clinic Waldhof Elgershausen, Greifensstein, Germany.
 
;In:[[Is in journal::PloS one (journal)|PloS one]], ([[Publishing date::2017]])
 
;In:[[Is in journal::PloS one (journal)|PloS one]], ([[Publishing date::2017]])
 
;On line:
 
;On line:
 
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==Abstract==
 
==Abstract==
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{{Begin article body}}
 
;RATIONALE:
 
;RATIONALE:
 
From June of 2009 to August of 2010 the influenza subtype H1N1pdm09 caused a worldwide pandemic. The impact on populations and health care systems around the globe evolved differently. Substantial data come from the German national surveillance network in an outpatient and private practice setting, while information on hospitalized patients in Germany is rather limited.
 
From June of 2009 to August of 2010 the influenza subtype H1N1pdm09 caused a worldwide pandemic. The impact on populations and health care systems around the globe evolved differently. Substantial data come from the German national surveillance network in an outpatient and private practice setting, while information on hospitalized patients in Germany is rather limited.
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;CONCLUSIONS:
 
;CONCLUSIONS:
 
Inpatient data suggest differences in patient populations during pandemic and seasonal influenza. Younger patients were more frequently hospitalized. Differences with respect to the presence of certain comorbidities and co-diagnoses, length of stay, time to ventilation and ventilation time could be identified.
 
Inpatient data suggest differences in patient populations during pandemic and seasonal influenza. Younger patients were more frequently hospitalized. Differences with respect to the presence of certain comorbidities and co-diagnoses, length of stay, time to ventilation and ventilation time could be identified.
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{{End article body}}
 
==See also==
 
==See also==
 
;External links:
 
;External links:

Latest revision as of 17:04, 12 August 2020

Characteristics and outcomes of a cohort hospitalized for pandemic and seasonal influenza in Germany based on nationwide inpatient data.


 
 

Authors
Daniel Von Der Beck(1), Werner Seeger(1), Susanne Herold(1), Andreas Günther(1,2), Benjamin Löh(1,2)
Affiliations
  • (1) Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.
  • (2) Agaplesion Lung Clinic Waldhof Elgershausen, Greifensstein, Germany.
In
PloS one, (2017)
On line

Abstract

RATIONALE

From June of 2009 to August of 2010 the influenza subtype H1N1pdm09 caused a worldwide pandemic. The impact on populations and health care systems around the globe evolved differently. Substantial data come from the German national surveillance network in an outpatient and private practice setting, while information on hospitalized patients in Germany is rather limited.

METHODS

Data from the Federal Statistics Office comprising health insurance claims of the entire nationwide inpatient sample from 2005 to 2012 were used to identify patients who were hospitalized for laboratory-confirmed influenza and to analyse demographical aspects, comorbidities, hospitalization duration, outcomes and ventilator use during the pandemic and seasonal waves of influenza.

MEASUREMENTS AND MAIN RESULTS

A number of 34,493 admissions for laboratory-confirmed influenza occurred during waves between 2005 and 2012. During the pandemic seasonal waves, the number of hospitalizations vastly surpassed the level that was seen in any of the seasonal waves. A major demographic shift was seen with respect to patient age, as younger patients (< 60 years old) were more frequently hospitalized. Mean length of stay was shorter (149 vs. 193 hours), mean time on ventilation tended to be shorter (261 vs. 305 hours) in young children (< 4 years old) and longer (393 vs. 339 hours) in the elderly (> 60 years old). Time to ventilation was shorter in non-fatal cases (328 vs. 349 hours) and longer in fatal cases (419 vs. 358 hours). Logistic regression was used to show the impact of comorbidities and co-diagnoses on mortality and the need for ventilation, as well as differences between pandemic and seasonal influenza.

CONCLUSIONS

Inpatient data suggest differences in patient populations during pandemic and seasonal influenza. Younger patients were more frequently hospitalized. Differences with respect to the presence of certain comorbidities and co-diagnoses, length of stay, time to ventilation and ventilation time could be identified.

See also

External links
Characteristics and outcomes of a cohort hospitalized for pandemic and seasonal influenza in Germany based on nationwide inpatient data. +