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Pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models
BACKGROUND: Cirrhosis always goes with profound immunity compromise, and makes those patients easily be the target of pneumonia. Cirrhotic patients with pneumonia have a dramatically increased mortality. To recognize the risk factors of mortality and to optimize stratification are critical for impro...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6280505/ https://www.ncbi.nlm.nih.gov/pubmed/30514312 http://dx.doi.org/10.1186/s12931-018-0934-5 |
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author | Xu, Lichen Ying, Shuangwei Hu, Jianhua Wang, Yunyun Yang, Meifang Ge, Tiantian Huang, Chunhong Xu, Qiaomai Zhu, Haihong Chen, Zhi Ma, Weihang |
author_facet | Xu, Lichen Ying, Shuangwei Hu, Jianhua Wang, Yunyun Yang, Meifang Ge, Tiantian Huang, Chunhong Xu, Qiaomai Zhu, Haihong Chen, Zhi Ma, Weihang |
author_sort | Xu, Lichen |
collection | PubMed |
description | BACKGROUND: Cirrhosis always goes with profound immunity compromise, and makes those patients easily be the target of pneumonia. Cirrhotic patients with pneumonia have a dramatically increased mortality. To recognize the risk factors of mortality and to optimize stratification are critical for improving survival rate. METHODS: Two hundred and three cirrhotic patients with pneumonia at a tertiary care hospital were included in this retrospective study. Demographical, clinical and laboratory parameters, severity models and prognosis were recorded. Multivariate Cox regression analysis was used to identify independent predictors of 30-day and 90-day mortality. Area under receiver operating characteristics curves (AUROC) was used to compare the predictive value of different prognostic scoring systems. RESULTS: Patients with nosocomial acquired or community acquired pneumonia indicated similar prognosis after 30- and 90-day follow-up. However, patients triggered acute-on-chronic liver failure (ACLF) highly increased mortality (46.4% vs 4.5% for 30-day, 69.6% vs 11.2% for 90-day). Age, inappropriate empirical antibiotic therapy (HR: 2.326 p = 0.018 for 30-day and HR: 3.126 p < 0.001 for 90-day), bacteremia (HR: 3.037 p = 0.002 for 30-day and HR: 2.651 p = 0.001 for 90-day), white blood cell count (WBC) (HR: 1.452 p < 0.001 for 30-day and HR: 1.551 p < 0.001 for 90-day) and total bilirubin (HR: 1.059 p = 0.002 for 90-day) were independent factors for mortality in current study. Chronic liver failure–sequential organ failure assessment (CLIF-SOFA) displayed highest AUROC (0.89 and 0.90, 95% CI: 0.83–0.95 and 0.85–0.95 for 30-day and 90-day respectively) in current study. CONCLUSIONS: This study found age, bacteremia, WBC, total bilirubin and inappropriate empirical antibiotic therapy were independently associated with increased mortality. Pneumonia triggered ACLF remarkably increased mortality. CLIF-SOFA was more accurate in predicting mortality than other five prognostic models (model for end-stage liver disease (MELD), MELD-Na, quick sequential organ failure assessment (qSOFA), pneumonia severity index (PSI), Child-Turcotte-Pugh (CTP) score). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12931-018-0934-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6280505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62805052018-12-10 Pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models Xu, Lichen Ying, Shuangwei Hu, Jianhua Wang, Yunyun Yang, Meifang Ge, Tiantian Huang, Chunhong Xu, Qiaomai Zhu, Haihong Chen, Zhi Ma, Weihang Respir Res Research BACKGROUND: Cirrhosis always goes with profound immunity compromise, and makes those patients easily be the target of pneumonia. Cirrhotic patients with pneumonia have a dramatically increased mortality. To recognize the risk factors of mortality and to optimize stratification are critical for improving survival rate. METHODS: Two hundred and three cirrhotic patients with pneumonia at a tertiary care hospital were included in this retrospective study. Demographical, clinical and laboratory parameters, severity models and prognosis were recorded. Multivariate Cox regression analysis was used to identify independent predictors of 30-day and 90-day mortality. Area under receiver operating characteristics curves (AUROC) was used to compare the predictive value of different prognostic scoring systems. RESULTS: Patients with nosocomial acquired or community acquired pneumonia indicated similar prognosis after 30- and 90-day follow-up. However, patients triggered acute-on-chronic liver failure (ACLF) highly increased mortality (46.4% vs 4.5% for 30-day, 69.6% vs 11.2% for 90-day). Age, inappropriate empirical antibiotic therapy (HR: 2.326 p = 0.018 for 30-day and HR: 3.126 p < 0.001 for 90-day), bacteremia (HR: 3.037 p = 0.002 for 30-day and HR: 2.651 p = 0.001 for 90-day), white blood cell count (WBC) (HR: 1.452 p < 0.001 for 30-day and HR: 1.551 p < 0.001 for 90-day) and total bilirubin (HR: 1.059 p = 0.002 for 90-day) were independent factors for mortality in current study. Chronic liver failure–sequential organ failure assessment (CLIF-SOFA) displayed highest AUROC (0.89 and 0.90, 95% CI: 0.83–0.95 and 0.85–0.95 for 30-day and 90-day respectively) in current study. CONCLUSIONS: This study found age, bacteremia, WBC, total bilirubin and inappropriate empirical antibiotic therapy were independently associated with increased mortality. Pneumonia triggered ACLF remarkably increased mortality. CLIF-SOFA was more accurate in predicting mortality than other five prognostic models (model for end-stage liver disease (MELD), MELD-Na, quick sequential organ failure assessment (qSOFA), pneumonia severity index (PSI), Child-Turcotte-Pugh (CTP) score). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12931-018-0934-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-04 2018 /pmc/articles/PMC6280505/ /pubmed/30514312 http://dx.doi.org/10.1186/s12931-018-0934-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Xu, Lichen Ying, Shuangwei Hu, Jianhua Wang, Yunyun Yang, Meifang Ge, Tiantian Huang, Chunhong Xu, Qiaomai Zhu, Haihong Chen, Zhi Ma, Weihang Pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models |
title | Pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models |
title_full | Pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models |
title_fullStr | Pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models |
title_full_unstemmed | Pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models |
title_short | Pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models |
title_sort | pneumonia in patients with cirrhosis: risk factors associated with mortality and predictive value of prognostic models |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6280505/ https://www.ncbi.nlm.nih.gov/pubmed/30514312 http://dx.doi.org/10.1186/s12931-018-0934-5 |
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