Cargando…

Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool

There are few data on mortality after discharge with community-acquired pneumonia (CAP). Therefore, we evaluated risk factors for 30-day post-discharge mortality after CAP. We included all patients of the prospective multi-national CAPNETZ study between 2002 and 2018 with (1) hospitalized CAP, (2) s...

Descripción completa

Detalles Bibliográficos
Autores principales: Glöckner, Verena, Pletz, Mathias W., Rohde, Gernot, Rupp, Jan, Witzenrath, Martin, Barten-Neiner, Grit, Kolditz, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934328/
https://www.ncbi.nlm.nih.gov/pubmed/35137301
http://dx.doi.org/10.1007/s10096-022-04416-5
_version_ 1784671824882171904
author Glöckner, Verena
Pletz, Mathias W.
Rohde, Gernot
Rupp, Jan
Witzenrath, Martin
Barten-Neiner, Grit
Kolditz, Martin
author_facet Glöckner, Verena
Pletz, Mathias W.
Rohde, Gernot
Rupp, Jan
Witzenrath, Martin
Barten-Neiner, Grit
Kolditz, Martin
author_sort Glöckner, Verena
collection PubMed
description There are few data on mortality after discharge with community-acquired pneumonia (CAP). Therefore, we evaluated risk factors for 30-day post-discharge mortality after CAP. We included all patients of the prospective multi-national CAPNETZ study between 2002 and 2018 with (1) hospitalized CAP, (2) survival until discharge, and (3) complete follow-up data. The study endpoint was death within 30 days after discharge. We evaluated risk factors including demographics, comorbidities, admission CAP severity, and laboratory values and treatment-related factors in uni- and multivariable analyses. A total of 126 (1.6%) of 7882 included patients died until day 30 after discharge, corresponding to 26% of all 476 deaths. After multivariable analysis, we identified 10 independent risk factors: higher age, lower BMI, presence of diabetes mellitus, chronic renal or chronic neurological disease (other than cerebrovascular diseases), low body temperature or higher thrombocytes on admission, extended length of hospitalization, oxygen therapy during hospitalization, and post-obstructive pneumonia. By addition these factors, we calculated a risk score with an AUC of 0.831 (95%CI 0.822–0.839, p < 0.001) for prediction of post-discharge mortality. Early post-discharge deaths account for ¼ of all CAP-associated deaths and are associated with patient- and CAP-severity-related risk factors. Additional studies are necessary to replicate our findings in independent cohorts. Study registration: NCT 02139163. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10096-022-04416-5.
format Online
Article
Text
id pubmed-8934328
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-89343282022-04-01 Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool Glöckner, Verena Pletz, Mathias W. Rohde, Gernot Rupp, Jan Witzenrath, Martin Barten-Neiner, Grit Kolditz, Martin Eur J Clin Microbiol Infect Dis Original Article There are few data on mortality after discharge with community-acquired pneumonia (CAP). Therefore, we evaluated risk factors for 30-day post-discharge mortality after CAP. We included all patients of the prospective multi-national CAPNETZ study between 2002 and 2018 with (1) hospitalized CAP, (2) survival until discharge, and (3) complete follow-up data. The study endpoint was death within 30 days after discharge. We evaluated risk factors including demographics, comorbidities, admission CAP severity, and laboratory values and treatment-related factors in uni- and multivariable analyses. A total of 126 (1.6%) of 7882 included patients died until day 30 after discharge, corresponding to 26% of all 476 deaths. After multivariable analysis, we identified 10 independent risk factors: higher age, lower BMI, presence of diabetes mellitus, chronic renal or chronic neurological disease (other than cerebrovascular diseases), low body temperature or higher thrombocytes on admission, extended length of hospitalization, oxygen therapy during hospitalization, and post-obstructive pneumonia. By addition these factors, we calculated a risk score with an AUC of 0.831 (95%CI 0.822–0.839, p < 0.001) for prediction of post-discharge mortality. Early post-discharge deaths account for ¼ of all CAP-associated deaths and are associated with patient- and CAP-severity-related risk factors. Additional studies are necessary to replicate our findings in independent cohorts. Study registration: NCT 02139163. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10096-022-04416-5. Springer Berlin Heidelberg 2022-02-08 2022 /pmc/articles/PMC8934328/ /pubmed/35137301 http://dx.doi.org/10.1007/s10096-022-04416-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Glöckner, Verena
Pletz, Mathias W.
Rohde, Gernot
Rupp, Jan
Witzenrath, Martin
Barten-Neiner, Grit
Kolditz, Martin
Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool
title Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool
title_full Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool
title_fullStr Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool
title_full_unstemmed Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool
title_short Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool
title_sort early post-discharge mortality in cap: frequency, risk factors and a prediction tool
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934328/
https://www.ncbi.nlm.nih.gov/pubmed/35137301
http://dx.doi.org/10.1007/s10096-022-04416-5
work_keys_str_mv AT glocknerverena earlypostdischargemortalityincapfrequencyriskfactorsandapredictiontool
AT pletzmathiasw earlypostdischargemortalityincapfrequencyriskfactorsandapredictiontool
AT rohdegernot earlypostdischargemortalityincapfrequencyriskfactorsandapredictiontool
AT ruppjan earlypostdischargemortalityincapfrequencyriskfactorsandapredictiontool
AT witzenrathmartin earlypostdischargemortalityincapfrequencyriskfactorsandapredictiontool
AT bartenneinergrit earlypostdischargemortalityincapfrequencyriskfactorsandapredictiontool
AT kolditzmartin earlypostdischargemortalityincapfrequencyriskfactorsandapredictiontool
AT earlypostdischargemortalityincapfrequencyriskfactorsandapredictiontool