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The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia

BACKGROUND: The prognosis of patients hospitalized with community-acquired pneumonia (CAP) with regards to intensive care unit (ICU) admission, short- and long-term mortality is correlated with patient’s comorbidities. For patients hospitalized for CAP, including P-CAP, we assessed the prognostic im...

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Autores principales: Blanc, E., Chaize, G., Fievez, S., Féger, C., Herquelot, E., Vainchtock, A., Timsit, J. F., Gaillat, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442401/
https://www.ncbi.nlm.nih.gov/pubmed/34521380
http://dx.doi.org/10.1186/s12879-021-06669-5
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author Blanc, E.
Chaize, G.
Fievez, S.
Féger, C.
Herquelot, E.
Vainchtock, A.
Timsit, J. F.
Gaillat, J.
author_facet Blanc, E.
Chaize, G.
Fievez, S.
Féger, C.
Herquelot, E.
Vainchtock, A.
Timsit, J. F.
Gaillat, J.
author_sort Blanc, E.
collection PubMed
description BACKGROUND: The prognosis of patients hospitalized with community-acquired pneumonia (CAP) with regards to intensive care unit (ICU) admission, short- and long-term mortality is correlated with patient’s comorbidities. For patients hospitalized for CAP, including P-CAP, we assessed the prognostic impact of comorbidities known as at-risk (AR) or high-risk (HR) of pneumococcal CAP (P-CAP), and of the number of combined comorbidities. METHODS: Data on hospitalizations for CAP among the French 50+ population were extracted from the 2014 French Information Systems Medicalization Program (PMSI), an exhaustive national hospital discharge database maintained by the French Technical Agency of Information on Hospitalization (ATIH). Their admission diagnosis, comorbidities (nature, risk type and number), other characteristics, and their subsequent hospital stays within the year following their hospitalization for CAP were analyzed. Logistic regression models were used to assess the associations between ICU transfer, short- and 1-year in-hospital mortality and all covariates. RESULTS: From 182,858 patients, 149,555 patients aged ≥ 50 years (nonagenarians 17.8%) were hospitalized for CAP in 2014, including 8270 with P-CAP. Overall, 33.8% and 90.5% had ≥ 1 HR and ≥ 1 AR comorbidity, respectively. Cardiac diseases were the most frequent AR comorbidity (all CAP: 77.4%). Transfer in ICU occurred for 5.4% of CAP patients and 19.4% for P-CAP. Short-term and 1-year in-hospital mortality rates were 10.9% and 23% of CAP patients, respectively, significantly lower for P-CAP patients: 9.2% and 19.8% (HR 0.88 [95% CI 0.84–0.93], p < .0001). Both terms of mortality increased mostly with age, and with the number of comorbidities and combination of AR and HR comorbidities, in addition of specific comorbidities. CONCLUSIONS: Not only specific comorbidities, but also the number of combined comorbidities and the combination of AR and HR comorbidities may impact the outcome of hospitalized CAP and P-CAP patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06669-5.
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spelling pubmed-84424012021-09-15 The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia Blanc, E. Chaize, G. Fievez, S. Féger, C. Herquelot, E. Vainchtock, A. Timsit, J. F. Gaillat, J. BMC Infect Dis Research BACKGROUND: The prognosis of patients hospitalized with community-acquired pneumonia (CAP) with regards to intensive care unit (ICU) admission, short- and long-term mortality is correlated with patient’s comorbidities. For patients hospitalized for CAP, including P-CAP, we assessed the prognostic impact of comorbidities known as at-risk (AR) or high-risk (HR) of pneumococcal CAP (P-CAP), and of the number of combined comorbidities. METHODS: Data on hospitalizations for CAP among the French 50+ population were extracted from the 2014 French Information Systems Medicalization Program (PMSI), an exhaustive national hospital discharge database maintained by the French Technical Agency of Information on Hospitalization (ATIH). Their admission diagnosis, comorbidities (nature, risk type and number), other characteristics, and their subsequent hospital stays within the year following their hospitalization for CAP were analyzed. Logistic regression models were used to assess the associations between ICU transfer, short- and 1-year in-hospital mortality and all covariates. RESULTS: From 182,858 patients, 149,555 patients aged ≥ 50 years (nonagenarians 17.8%) were hospitalized for CAP in 2014, including 8270 with P-CAP. Overall, 33.8% and 90.5% had ≥ 1 HR and ≥ 1 AR comorbidity, respectively. Cardiac diseases were the most frequent AR comorbidity (all CAP: 77.4%). Transfer in ICU occurred for 5.4% of CAP patients and 19.4% for P-CAP. Short-term and 1-year in-hospital mortality rates were 10.9% and 23% of CAP patients, respectively, significantly lower for P-CAP patients: 9.2% and 19.8% (HR 0.88 [95% CI 0.84–0.93], p < .0001). Both terms of mortality increased mostly with age, and with the number of comorbidities and combination of AR and HR comorbidities, in addition of specific comorbidities. CONCLUSIONS: Not only specific comorbidities, but also the number of combined comorbidities and the combination of AR and HR comorbidities may impact the outcome of hospitalized CAP and P-CAP patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06669-5. BioMed Central 2021-09-14 /pmc/articles/PMC8442401/ /pubmed/34521380 http://dx.doi.org/10.1186/s12879-021-06669-5 Text en © The Author(s) 2021 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Blanc, E.
Chaize, G.
Fievez, S.
Féger, C.
Herquelot, E.
Vainchtock, A.
Timsit, J. F.
Gaillat, J.
The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia
title The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia
title_full The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia
title_fullStr The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia
title_full_unstemmed The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia
title_short The impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia
title_sort impact of comorbidities and their stacking on short- and long-term prognosis of patients over 50 with community-acquired pneumonia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442401/
https://www.ncbi.nlm.nih.gov/pubmed/34521380
http://dx.doi.org/10.1186/s12879-021-06669-5
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