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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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. |
format | Online Article Text |
id | pubmed-3485149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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