Cargando…

Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke

OBJECTIVE: Prognosis of stroke is negatively affected by complications, in particular stroke-associated pneumonia (SAP). We hypothesized that inflammatory and stress biomarkers predict SAP during hospitalization and outcome 3 months after stroke. METHODS: We pooled the clinical data of 2 acute strok...

Descripción completa

Detalles Bibliográficos
Autores principales: Hotter, Benjamin, Hoffmann, Sarah, Ulm, Lena, Montaner, Joan, Bustamante, Alejandro, Meisel, Christian, Meisel, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051196/
https://www.ncbi.nlm.nih.gov/pubmed/32098866
http://dx.doi.org/10.1212/NXI.0000000000000692
_version_ 1783502728123645952
author Hotter, Benjamin
Hoffmann, Sarah
Ulm, Lena
Montaner, Joan
Bustamante, Alejandro
Meisel, Christian
Meisel, Andreas
author_facet Hotter, Benjamin
Hoffmann, Sarah
Ulm, Lena
Montaner, Joan
Bustamante, Alejandro
Meisel, Christian
Meisel, Andreas
author_sort Hotter, Benjamin
collection PubMed
description OBJECTIVE: Prognosis of stroke is negatively affected by complications, in particular stroke-associated pneumonia (SAP). We hypothesized that inflammatory and stress biomarkers predict SAP during hospitalization and outcome 3 months after stroke. METHODS: We pooled the clinical data of 2 acute stroke studies with identical assessment: the STRoke Adverse outcome is associated WIth NoSoKomial Infections (STRAWINSKI) and PREDICT studies. Measurement of biomarkers (ultrasensitive procalcitonin [PCTus]; midregional pro-adrenomedullin; midregional pro-atrial natriuretic peptide [MRproANP]; ultrasensitive copeptin [CPus]; C-terminal pro-endothelin) was performed from serum samples drawn on the first 4 days of hospital admission. RESULTS: The combined cohort consists of 573 cases with available backup samples to perform the analysis. SAP was associated with increased admission and maximum levels of all biomarkers. Furthermore, all biomarkers were associated with death and correlated with functional outcome 3 months after stroke. The multivariate logistic regression model retained ultrasensitive CPus and PCTus beyond clinical risk factors for predicting SAP, improving the receiver operating characteristic area under the curve (AUC) from 0.837 to 0.876. In contrast, the biomarkers did not improve the prediction of death and functional outcome in the multivariate model. Cardioembolic strokes were significantly associated with higher values of all biomarkers, whereas discrimination was best for MRproANP (AUC = 0.811 for maximum value). CONCLUSIONS: The tested biomarkers are associated with SAP and poor functional outcome. However, these biomarkers only slightly improve prediction of SAP and do not improve long-term outcome prediction over clinical parameters. MRproANP showed the best discrimination for identifying cardioembolic stroke, warranting further studies to confirm our finding. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov NCT01264549 and NCT01079728.
format Online
Article
Text
id pubmed-7051196
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-70511962020-03-13 Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke Hotter, Benjamin Hoffmann, Sarah Ulm, Lena Montaner, Joan Bustamante, Alejandro Meisel, Christian Meisel, Andreas Neurol Neuroimmunol Neuroinflamm Article OBJECTIVE: Prognosis of stroke is negatively affected by complications, in particular stroke-associated pneumonia (SAP). We hypothesized that inflammatory and stress biomarkers predict SAP during hospitalization and outcome 3 months after stroke. METHODS: We pooled the clinical data of 2 acute stroke studies with identical assessment: the STRoke Adverse outcome is associated WIth NoSoKomial Infections (STRAWINSKI) and PREDICT studies. Measurement of biomarkers (ultrasensitive procalcitonin [PCTus]; midregional pro-adrenomedullin; midregional pro-atrial natriuretic peptide [MRproANP]; ultrasensitive copeptin [CPus]; C-terminal pro-endothelin) was performed from serum samples drawn on the first 4 days of hospital admission. RESULTS: The combined cohort consists of 573 cases with available backup samples to perform the analysis. SAP was associated with increased admission and maximum levels of all biomarkers. Furthermore, all biomarkers were associated with death and correlated with functional outcome 3 months after stroke. The multivariate logistic regression model retained ultrasensitive CPus and PCTus beyond clinical risk factors for predicting SAP, improving the receiver operating characteristic area under the curve (AUC) from 0.837 to 0.876. In contrast, the biomarkers did not improve the prediction of death and functional outcome in the multivariate model. Cardioembolic strokes were significantly associated with higher values of all biomarkers, whereas discrimination was best for MRproANP (AUC = 0.811 for maximum value). CONCLUSIONS: The tested biomarkers are associated with SAP and poor functional outcome. However, these biomarkers only slightly improve prediction of SAP and do not improve long-term outcome prediction over clinical parameters. MRproANP showed the best discrimination for identifying cardioembolic stroke, warranting further studies to confirm our finding. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov NCT01264549 and NCT01079728. Lippincott Williams & Wilkins 2020-02-25 /pmc/articles/PMC7051196/ /pubmed/32098866 http://dx.doi.org/10.1212/NXI.0000000000000692 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Hotter, Benjamin
Hoffmann, Sarah
Ulm, Lena
Montaner, Joan
Bustamante, Alejandro
Meisel, Christian
Meisel, Andreas
Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke
title Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke
title_full Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke
title_fullStr Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke
title_full_unstemmed Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke
title_short Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke
title_sort inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: biomarkers for predicting pneumonia, functional outcome, and death after stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051196/
https://www.ncbi.nlm.nih.gov/pubmed/32098866
http://dx.doi.org/10.1212/NXI.0000000000000692
work_keys_str_mv AT hotterbenjamin inflammatoryandstressmarkerspredictingpneumoniaoutcomeandetiologyinpatientswithstrokebiomarkersforpredictingpneumoniafunctionaloutcomeanddeathafterstroke
AT hoffmannsarah inflammatoryandstressmarkerspredictingpneumoniaoutcomeandetiologyinpatientswithstrokebiomarkersforpredictingpneumoniafunctionaloutcomeanddeathafterstroke
AT ulmlena inflammatoryandstressmarkerspredictingpneumoniaoutcomeandetiologyinpatientswithstrokebiomarkersforpredictingpneumoniafunctionaloutcomeanddeathafterstroke
AT montanerjoan inflammatoryandstressmarkerspredictingpneumoniaoutcomeandetiologyinpatientswithstrokebiomarkersforpredictingpneumoniafunctionaloutcomeanddeathafterstroke
AT bustamantealejandro inflammatoryandstressmarkerspredictingpneumoniaoutcomeandetiologyinpatientswithstrokebiomarkersforpredictingpneumoniafunctionaloutcomeanddeathafterstroke
AT meiselchristian inflammatoryandstressmarkerspredictingpneumoniaoutcomeandetiologyinpatientswithstrokebiomarkersforpredictingpneumoniafunctionaloutcomeanddeathafterstroke
AT meiselandreas inflammatoryandstressmarkerspredictingpneumoniaoutcomeandetiologyinpatientswithstrokebiomarkersforpredictingpneumoniafunctionaloutcomeanddeathafterstroke