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Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis

INTRODUCTION: Candidemia in critically ill patients is usually a severe and life-threatening condition with a high crude mortality. Very few studies have focused on the impact of candidemia on ICU patient outcome and attributable mortality still remains controversial. This study was carried out to d...

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Autores principales: González de Molina, Francisco J, León, Cristóbal, Ruiz-Santana, Sergio, Saavedra, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3580662/
https://www.ncbi.nlm.nih.gov/pubmed/22698004
http://dx.doi.org/10.1186/cc11388
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author González de Molina, Francisco J
León, Cristóbal
Ruiz-Santana, Sergio
Saavedra, Pedro
author_facet González de Molina, Francisco J
León, Cristóbal
Ruiz-Santana, Sergio
Saavedra, Pedro
author_sort González de Molina, Francisco J
collection PubMed
description INTRODUCTION: Candidemia in critically ill patients is usually a severe and life-threatening condition with a high crude mortality. Very few studies have focused on the impact of candidemia on ICU patient outcome and attributable mortality still remains controversial. This study was carried out to determine the attributable mortality of ICU-acquired candidemia in critically ill patients using propensity score matching analysis. METHODS: A prospective observational study was conducted of all consecutive non-neutropenic adult patients admitted for at least seven days to 36 ICUs in Spain, France, and Argentina between April 2006 and June 2007. The probability of developing candidemia was estimated using a multivariate logistic regression model. Each patient with ICU-acquired candidemia was matched with two control patients with the nearest available Mahalanobis metric matching within the calipers defined by the propensity score. Standardized differences tests (SDT) for each variable before and after matching were calculated. Attributable mortality was determined by a modified Poisson regression model adjusted by those variables that still presented certain misalignments defined as a SDT > 10%. RESULTS: Thirty-eight candidemias were diagnosed in 1,107 patients (34.3 episodes/1,000 ICU patients). Patients with and without candidemia had an ICU crude mortality of 52.6% versus 20.6% (P < 0.001) and a crude hospital mortality of 55.3% versus 29.6% (P = 0.01), respectively. In the propensity matched analysis, the corresponding figures were 51.4% versus 37.1% (P = 0.222) and 54.3% versus 50% (P = 0.680). After controlling residual confusion by the Poisson regression model, the relative risk (RR) of ICU- and hospital-attributable mortality from candidemia was RR 1.298 (95% confidence interval (CI) 0.88 to 1.98) and RR 1.096 (95% CI 0.68 to 1.69), respectively. CONCLUSIONS: ICU-acquired candidemia in critically ill patients is not associated with an increase in either ICU or hospital mortality.
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spelling pubmed-35806622013-02-26 Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis González de Molina, Francisco J León, Cristóbal Ruiz-Santana, Sergio Saavedra, Pedro Crit Care Research INTRODUCTION: Candidemia in critically ill patients is usually a severe and life-threatening condition with a high crude mortality. Very few studies have focused on the impact of candidemia on ICU patient outcome and attributable mortality still remains controversial. This study was carried out to determine the attributable mortality of ICU-acquired candidemia in critically ill patients using propensity score matching analysis. METHODS: A prospective observational study was conducted of all consecutive non-neutropenic adult patients admitted for at least seven days to 36 ICUs in Spain, France, and Argentina between April 2006 and June 2007. The probability of developing candidemia was estimated using a multivariate logistic regression model. Each patient with ICU-acquired candidemia was matched with two control patients with the nearest available Mahalanobis metric matching within the calipers defined by the propensity score. Standardized differences tests (SDT) for each variable before and after matching were calculated. Attributable mortality was determined by a modified Poisson regression model adjusted by those variables that still presented certain misalignments defined as a SDT > 10%. RESULTS: Thirty-eight candidemias were diagnosed in 1,107 patients (34.3 episodes/1,000 ICU patients). Patients with and without candidemia had an ICU crude mortality of 52.6% versus 20.6% (P < 0.001) and a crude hospital mortality of 55.3% versus 29.6% (P = 0.01), respectively. In the propensity matched analysis, the corresponding figures were 51.4% versus 37.1% (P = 0.222) and 54.3% versus 50% (P = 0.680). After controlling residual confusion by the Poisson regression model, the relative risk (RR) of ICU- and hospital-attributable mortality from candidemia was RR 1.298 (95% confidence interval (CI) 0.88 to 1.98) and RR 1.096 (95% CI 0.68 to 1.69), respectively. CONCLUSIONS: ICU-acquired candidemia in critically ill patients is not associated with an increase in either ICU or hospital mortality. BioMed Central 2012 2012-06-14 /pmc/articles/PMC3580662/ /pubmed/22698004 http://dx.doi.org/10.1186/cc11388 Text en Copyright ©2012 González de Molina et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
González de Molina, Francisco J
León, Cristóbal
Ruiz-Santana, Sergio
Saavedra, Pedro
Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis
title Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis
title_full Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis
title_fullStr Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis
title_full_unstemmed Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis
title_short Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis
title_sort assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3580662/
https://www.ncbi.nlm.nih.gov/pubmed/22698004
http://dx.doi.org/10.1186/cc11388
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