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Factors predictive of the failure of medical treatment in patients with pleural infection

BACKGROUND/AIMS: The clinical outcomes of some patients with pleural infection may be favorable with medical treatment alone, but in others, the disease progresses and requires additional surgical treatment. However, little is known about the factors affecting this difference. The aim of this study...

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Autores principales: Kim, Sung-Kyoung, Kang, Chul Ung, Song, So Hyang, Cho, Deog Gon, Cho, Kyu Do, Kim, Chi Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Association of Internal Medicine 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164724/
https://www.ncbi.nlm.nih.gov/pubmed/25228836
http://dx.doi.org/10.3904/kjim.2014.29.5.603
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author Kim, Sung-Kyoung
Kang, Chul Ung
Song, So Hyang
Cho, Deog Gon
Cho, Kyu Do
Kim, Chi Hong
author_facet Kim, Sung-Kyoung
Kang, Chul Ung
Song, So Hyang
Cho, Deog Gon
Cho, Kyu Do
Kim, Chi Hong
author_sort Kim, Sung-Kyoung
collection PubMed
description BACKGROUND/AIMS: The clinical outcomes of some patients with pleural infection may be favorable with medical treatment alone, but in others, the disease progresses and requires additional surgical treatment. However, little is known about the factors affecting this difference. The aim of this study was to investigate the factors predictive of failure of medical treatment in patients with pleural infection. METHODS: A cohort of 127 consecutive patients who were admitted to the hospital with pleural infection was studied. Clinical manifestations and laboratory findings in patients in whom medical treatment succeeded or failed were reviewed. RESULTS: In univariate analysis, the significant factors associated with medical treatment outcome were age, smoking history, duration of chief complaint, serum albumin level, and pleural fluid glucose and lactate dehydrogenase levels (p < 0.05). Multivariate logistic regression analysis identified age and duration of chief complaint as independent predictive factors for failure of medical treatment, with odds ratios of 0.871 (p = 0.013) and 0.797 (p = 0.026), respectively. Receiver operating characteristic curve analysis determined cutoff values of 50.5 years for age and 4.5 days for duration of chief complaint. CONCLUSIONS: We demonstrated that a younger age < 50.5 years and shorter duration of chief complaint < 4.5 days were independent predictive factors for the failure of medical treatment in patients with pleural infection. This suggests their role as evaluative criteria in setting indications for the optimal treatment in patients with pleural infection. A larger, prospective study is required to confirm these findings.
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spelling pubmed-41647242014-09-16 Factors predictive of the failure of medical treatment in patients with pleural infection Kim, Sung-Kyoung Kang, Chul Ung Song, So Hyang Cho, Deog Gon Cho, Kyu Do Kim, Chi Hong Korean J Intern Med Original Article BACKGROUND/AIMS: The clinical outcomes of some patients with pleural infection may be favorable with medical treatment alone, but in others, the disease progresses and requires additional surgical treatment. However, little is known about the factors affecting this difference. The aim of this study was to investigate the factors predictive of failure of medical treatment in patients with pleural infection. METHODS: A cohort of 127 consecutive patients who were admitted to the hospital with pleural infection was studied. Clinical manifestations and laboratory findings in patients in whom medical treatment succeeded or failed were reviewed. RESULTS: In univariate analysis, the significant factors associated with medical treatment outcome were age, smoking history, duration of chief complaint, serum albumin level, and pleural fluid glucose and lactate dehydrogenase levels (p < 0.05). Multivariate logistic regression analysis identified age and duration of chief complaint as independent predictive factors for failure of medical treatment, with odds ratios of 0.871 (p = 0.013) and 0.797 (p = 0.026), respectively. Receiver operating characteristic curve analysis determined cutoff values of 50.5 years for age and 4.5 days for duration of chief complaint. CONCLUSIONS: We demonstrated that a younger age < 50.5 years and shorter duration of chief complaint < 4.5 days were independent predictive factors for the failure of medical treatment in patients with pleural infection. This suggests their role as evaluative criteria in setting indications for the optimal treatment in patients with pleural infection. A larger, prospective study is required to confirm these findings. The Korean Association of Internal Medicine 2014-09 2014-08-28 /pmc/articles/PMC4164724/ /pubmed/25228836 http://dx.doi.org/10.3904/kjim.2014.29.5.603 Text en Copyright © 2014 The Korean Association of Internal Medicine http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Sung-Kyoung
Kang, Chul Ung
Song, So Hyang
Cho, Deog Gon
Cho, Kyu Do
Kim, Chi Hong
Factors predictive of the failure of medical treatment in patients with pleural infection
title Factors predictive of the failure of medical treatment in patients with pleural infection
title_full Factors predictive of the failure of medical treatment in patients with pleural infection
title_fullStr Factors predictive of the failure of medical treatment in patients with pleural infection
title_full_unstemmed Factors predictive of the failure of medical treatment in patients with pleural infection
title_short Factors predictive of the failure of medical treatment in patients with pleural infection
title_sort factors predictive of the failure of medical treatment in patients with pleural infection
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164724/
https://www.ncbi.nlm.nih.gov/pubmed/25228836
http://dx.doi.org/10.3904/kjim.2014.29.5.603
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