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Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke

BACKGROUND: Early predictors for the development of stroke-associated infection may identify patients at high risk and reduce post-stroke infection and mortality. METHODS: In 383 prospectively enrolled acute stroke patients we assessed time point and type of post-stroke infections (i.e. pneumonia, u...

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Autores principales: Fluri, Felix, Morgenthaler, Nils G., Mueller, Beat, Christ-Crain, Mirjam, Katan, Mira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485149/
https://www.ncbi.nlm.nih.gov/pubmed/23118979
http://dx.doi.org/10.1371/journal.pone.0048309
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author Fluri, Felix
Morgenthaler, Nils G.
Mueller, Beat
Christ-Crain, Mirjam
Katan, Mira
author_facet Fluri, Felix
Morgenthaler, Nils G.
Mueller, Beat
Christ-Crain, Mirjam
Katan, Mira
author_sort Fluri, Felix
collection PubMed
description BACKGROUND: Early predictors for the development of stroke-associated infection may identify patients at high risk and reduce post-stroke infection and mortality. METHODS: In 383 prospectively enrolled acute stroke patients we assessed time point and type of post-stroke infections (i.e. pneumonia, urinary tract infection (UTI) other infection (OI)). Blood samples were collected on admission, and days 1, and 3 to assess white blood cells (WBC), monocytes, C-reactive protein (CRP), procalcitonin (PCT), and copeptin. To determine the magnitude of association with the development of infections, odds ratios (OR) were calculated for each prognostic blood marker. The discriminatory ability of different predictors was assessed, by calculating area under the receiver operating characteristic curves (AUC). Prognostic models including the three parameters with the best performance were identified. RESULTS: Of 383 patients, 66 (17.2%) developed an infection after onset of stroke. WBC, CRP, copeptin and PCT were all independent predictors of any infection, pneumonia and UTI developed at least 24 hours after measurements. The combination of the biomarkers WBC, CRP and copeptin (AUC: 0.92) and WBC, CRP and PCT (AUC: 0.90) showed a better predictive accuracy concerning the development of pneumonia during hospitalization compared to each marker by itself (p-Wald <0.0001). CONCLUSION: Among ischemic stroke patients, copeptin, PCT, WBC and CRP measured on admission were predictors of infection in general, and specifically for pneumonia and UTI within 5 days after stroke. The combination of these biomarkers improved the prediction of patients who developed an infection.
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spelling pubmed-34851492012-11-01 Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke Fluri, Felix Morgenthaler, Nils G. Mueller, Beat Christ-Crain, Mirjam Katan, Mira PLoS One Research Article BACKGROUND: Early predictors for the development of stroke-associated infection may identify patients at high risk and reduce post-stroke infection and mortality. METHODS: In 383 prospectively enrolled acute stroke patients we assessed time point and type of post-stroke infections (i.e. pneumonia, urinary tract infection (UTI) other infection (OI)). Blood samples were collected on admission, and days 1, and 3 to assess white blood cells (WBC), monocytes, C-reactive protein (CRP), procalcitonin (PCT), and copeptin. To determine the magnitude of association with the development of infections, odds ratios (OR) were calculated for each prognostic blood marker. The discriminatory ability of different predictors was assessed, by calculating area under the receiver operating characteristic curves (AUC). Prognostic models including the three parameters with the best performance were identified. RESULTS: Of 383 patients, 66 (17.2%) developed an infection after onset of stroke. WBC, CRP, copeptin and PCT were all independent predictors of any infection, pneumonia and UTI developed at least 24 hours after measurements. The combination of the biomarkers WBC, CRP and copeptin (AUC: 0.92) and WBC, CRP and PCT (AUC: 0.90) showed a better predictive accuracy concerning the development of pneumonia during hospitalization compared to each marker by itself (p-Wald <0.0001). CONCLUSION: Among ischemic stroke patients, copeptin, PCT, WBC and CRP measured on admission were predictors of infection in general, and specifically for pneumonia and UTI within 5 days after stroke. The combination of these biomarkers improved the prediction of patients who developed an infection. Public Library of Science 2012-10-31 /pmc/articles/PMC3485149/ /pubmed/23118979 http://dx.doi.org/10.1371/journal.pone.0048309 Text en © 2012 Fluri et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Fluri, Felix
Morgenthaler, Nils G.
Mueller, Beat
Christ-Crain, Mirjam
Katan, Mira
Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke
title Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke
title_full Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke
title_fullStr Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke
title_full_unstemmed Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke
title_short Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke
title_sort copeptin, procalcitonin and routine inflammatory markers–predictors of infection after stroke
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485149/
https://www.ncbi.nlm.nih.gov/pubmed/23118979
http://dx.doi.org/10.1371/journal.pone.0048309
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