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Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis
OBJECTIVE: We aimed to analyze the risk factors and to establish a predictive tool for the occurrence of bloodstream infections (BSI) in patients with cirrhosis. METHODS: A total of 2888 patients with cirrhosis were retrospectively included. Multivariate analysis for risk factors of BSI were tested...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241210/ https://www.ncbi.nlm.nih.gov/pubmed/32431223 http://dx.doi.org/10.1177/0300060520919220 |
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author | Yang, Qiao Jiang, Xian Zhong Zhu, Yong Fen Lv, Fang Fang |
author_facet | Yang, Qiao Jiang, Xian Zhong Zhu, Yong Fen Lv, Fang Fang |
author_sort | Yang, Qiao |
collection | PubMed |
description | OBJECTIVE: We aimed to analyze the risk factors and to establish a predictive tool for the occurrence of bloodstream infections (BSI) in patients with cirrhosis. METHODS: A total of 2888 patients with cirrhosis were retrospectively included. Multivariate analysis for risk factors of BSI were tested using logistic regression. Multivariate logistic regression was validated using five-fold cross-validation. RESULTS: Variables that were independently associated with incidence of BSI were white blood cell count (odds ratio [OR] = 1.094, 95% confidence interval [CI] 1.063–1.127)], C-reactive protein (OR = 1.005, 95% CI 1.002–1.008), total bilirubin (OR = 1.003, 95% CI 1.002–1.004), and previous antimicrobial exposure (OR = 4.556, 95% CI 3.369–6.160); albumin (OR = 0.904, 95% CI 0.883–0.926), platelet count (OR = 0.996, 95% CI 0.994–0.998), and serum creatinine (OR = 0.989, 95% CI 0.985–0.994) were associated with lower odds of BSI. The area under receiver operating characteristic (ROC) curve of the risk assessment scale was 0.850, and its sensitivity and specificity were 0.762 and 0.801, respectively. There was no significant difference between the ROC curves of cross-validation and risk assessment. CONCLUSIONS: We developed a predictive tool for BSI in patients with cirrhosis, which could help with early identification of such episodes at admission, to improve outcome in these patients. |
format | Online Article Text |
id | pubmed-7241210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-72412102020-06-01 Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis Yang, Qiao Jiang, Xian Zhong Zhu, Yong Fen Lv, Fang Fang J Int Med Res Retrospective Clinical Research Report OBJECTIVE: We aimed to analyze the risk factors and to establish a predictive tool for the occurrence of bloodstream infections (BSI) in patients with cirrhosis. METHODS: A total of 2888 patients with cirrhosis were retrospectively included. Multivariate analysis for risk factors of BSI were tested using logistic regression. Multivariate logistic regression was validated using five-fold cross-validation. RESULTS: Variables that were independently associated with incidence of BSI were white blood cell count (odds ratio [OR] = 1.094, 95% confidence interval [CI] 1.063–1.127)], C-reactive protein (OR = 1.005, 95% CI 1.002–1.008), total bilirubin (OR = 1.003, 95% CI 1.002–1.004), and previous antimicrobial exposure (OR = 4.556, 95% CI 3.369–6.160); albumin (OR = 0.904, 95% CI 0.883–0.926), platelet count (OR = 0.996, 95% CI 0.994–0.998), and serum creatinine (OR = 0.989, 95% CI 0.985–0.994) were associated with lower odds of BSI. The area under receiver operating characteristic (ROC) curve of the risk assessment scale was 0.850, and its sensitivity and specificity were 0.762 and 0.801, respectively. There was no significant difference between the ROC curves of cross-validation and risk assessment. CONCLUSIONS: We developed a predictive tool for BSI in patients with cirrhosis, which could help with early identification of such episodes at admission, to improve outcome in these patients. SAGE Publications 2020-05-20 /pmc/articles/PMC7241210/ /pubmed/32431223 http://dx.doi.org/10.1177/0300060520919220 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Retrospective Clinical Research Report Yang, Qiao Jiang, Xian Zhong Zhu, Yong Fen Lv, Fang Fang Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis |
title | Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis |
title_full | Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis |
title_fullStr | Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis |
title_full_unstemmed | Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis |
title_short | Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis |
title_sort | clinical risk factors and predictive tool of bacteremia in patients with cirrhosis |
topic | Retrospective Clinical Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241210/ https://www.ncbi.nlm.nih.gov/pubmed/32431223 http://dx.doi.org/10.1177/0300060520919220 |
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