Blood eosinophil numbers as predictor of severity of community-acquired pneumonia in a prospective multicentre validation cohort

<bold>Background:</bold> A retrospective multicentre study suggested that blood eosinopenia (≤50/µL) predicts severity of community-acquired pneumonia (CAP) including mortality. <bold>Objective:</bold> This study aimed to validate these findings in a second independent prospective multicentre cohort. <bold>Methods:</bold> We analysed patient cases (≥18-years-old) with CAP using data from PROGRESS, a prospective observational study on hospitalised CAP. Outcome parameters reflecting the severity of the disease were compared between blood eosinopenia (≤50/µL) and non-eosinopenia (>50/µL). <bold>Results:</bold> Overall, 1,763 (860 eosinopenic and 903 non-eosinopenic) patient cases were included. Eosinopenia (versus non-eosinopenia) correlated with increased in-hospital mortality (2.8% versus 1.2%; RR 2.29; 95% CI 1.13-4.65; p=0.025), risk of mechanical ventilation (14.7% versus 7.1%; RR 2.07; 95% CI 1.55-2.75; p<0.0001), and length of stay (8 versus 7 days; p<0.0001), while time to in-hospital death was not different (17 versus 12 days; p=0.644). <bold>Conclusion:</bold> Our study using data from a prospective multicentre CAP cohort confirmed that blood eosinophil numbers predict severity of disease in hospitalised patients with CAP.

Authors

Institutions

Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa1493
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blood eosinophil numbers as predictor of severity of community-acquired pneumonia in a prospective multicentre validation cohort

Wilhelm Bertrams, Peter Ahnert, Anna Lena Jung, Barbara Weckler et al.
Respiratory viral infections research
article

Blood eosinophil numbers as predictor of severity of community-acquired pneumonia in a prospective multicentre validation cohort

Wilhelm Bertrams, Peter Ahnert, Anna Lena Jung, Barbara Weckler, Katrin Laakmann, Stephan Ringshandl, Norbert Suttorp, Christian Wildberg, Martin Witzenrath, Christian Seidemann, Claus Franz Vogelmeier, Roman Martin, Dominik Heider, Bernd Schmeck, Hendrik Pott, Max Kutzinski
article en

Abstract

<bold>Background:</bold> A retrospective multicentre study suggested that blood eosinopenia (≤50/µL) predicts severity of community-acquired pneumonia (CAP) including mortality. <bold>Objective:</bold> This study aimed to validate these findings in a second independent prospective multicentre cohort. <bold>Methods:</bold> We analysed patient cases (≥18-years-old) with CAP using data from PROGRESS, a prospective observational study on hospitalised CAP. Outcome parameters reflecting the severity of the disease were compared between blood eosinopenia (≤50/µL) and non-eosinopenia (>50/µL). <bold>Results:</bold> Overall, 1,763 (860 eosinopenic and 903 non-eosinopenic) patient cases were included. Eosinopenia (versus non-eosinopenia) correlated with increased in-hospital mortality (2.8% versus 1.2%; RR 2.29; 95% CI 1.13-4.65; p=0.025), risk of mechanical ventilation (14.7% versus 7.1%; RR 2.07; 95% CI 1.55-2.75; p<0.0001), and length of stay (8 versus 7 days; p<0.0001), while time to in-hospital death was not different (17 versus 12 days; p=0.644). <bold>Conclusion:</bold> Our study using data from a prospective multicentre CAP cohort confirmed that blood eosinophil numbers predict severity of disease in hospitalised patients with CAP.

Philipps University of Marburg (DE), Humboldt-Universität zu Berlin (DE), Universities of Giessen and Marburg Lung Center (DE), Heinrich Heine University Düsseldorf (DE), Leipzig University (DE)
Openalex Percentile: Top 70%
Respiratory viral infections research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.