Cargando…

Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections

(1) Background: Patients with acute ischaemic stroke (AIS) are at high risk for stroke-associated infections (SAIs). We hypothesised that increased concentrations of systemic inflammation markers predict SAIs and unfavourable outcomes; (2) Methods: In 223 patients with AIS, blood samples were taken...

Descripción completa

Detalles Bibliográficos
Autores principales: Hasse, Isabel M. C., Grosse, Gerrit M., Schuppner, Ramona, Van Gemmeren, Till, Gabriel, Maria M., Weissenborn, Karin, Lichtinghagen, Ralf, Worthmann, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694763/
https://www.ncbi.nlm.nih.gov/pubmed/36430226
http://dx.doi.org/10.3390/ijms232213747
_version_ 1784837886608146432
author Hasse, Isabel M. C.
Grosse, Gerrit M.
Schuppner, Ramona
Van Gemmeren, Till
Gabriel, Maria M.
Weissenborn, Karin
Lichtinghagen, Ralf
Worthmann, Hans
author_facet Hasse, Isabel M. C.
Grosse, Gerrit M.
Schuppner, Ramona
Van Gemmeren, Till
Gabriel, Maria M.
Weissenborn, Karin
Lichtinghagen, Ralf
Worthmann, Hans
author_sort Hasse, Isabel M. C.
collection PubMed
description (1) Background: Patients with acute ischaemic stroke (AIS) are at high risk for stroke-associated infections (SAIs). We hypothesised that increased concentrations of systemic inflammation markers predict SAIs and unfavourable outcomes; (2) Methods: In 223 patients with AIS, blood samples were taken at ≤24 h, 3 d and 7d after a stroke, to determine IL-6, IL-10, CRP and LBP. The outcome was assessed using the modified Rankin Scale at 90 d. Patients were thoroughly examined regarding the development of SAIs; (3) Results: 47 patients developed SAIs, including 15 lower respiratory tract infections (LRTIs). IL-6 and LBP at 24 h differed, between patients with and without SAIs (IL-6: p < 0.001; LBP: p = 0.042). However, these associations could not be confirmed after adjustment for age, white blood cell count, reduced consciousness and NIHSS. When considering the subgroup of LRTIs, in patients who presented early (≤12 h after stroke, n = 139), IL-6 was independently associated with LRTIs (OR: 1.073, 95% CI: 1.002–1.148). The ROC-analysis for prediction of LRTIs showed an AUC of 0.918 for the combination of IL-6 and clinical factors; (4) Conclusions: Blood biomarkers were not predictive for total SAIs. At early stages, IL-6 was independently associated with outcome-relevant LRTIs. Further studies need to clarify the use of biochemical markers to identify patients prone to SAIs.
format Online
Article
Text
id pubmed-9694763
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96947632022-11-26 Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections Hasse, Isabel M. C. Grosse, Gerrit M. Schuppner, Ramona Van Gemmeren, Till Gabriel, Maria M. Weissenborn, Karin Lichtinghagen, Ralf Worthmann, Hans Int J Mol Sci Article (1) Background: Patients with acute ischaemic stroke (AIS) are at high risk for stroke-associated infections (SAIs). We hypothesised that increased concentrations of systemic inflammation markers predict SAIs and unfavourable outcomes; (2) Methods: In 223 patients with AIS, blood samples were taken at ≤24 h, 3 d and 7d after a stroke, to determine IL-6, IL-10, CRP and LBP. The outcome was assessed using the modified Rankin Scale at 90 d. Patients were thoroughly examined regarding the development of SAIs; (3) Results: 47 patients developed SAIs, including 15 lower respiratory tract infections (LRTIs). IL-6 and LBP at 24 h differed, between patients with and without SAIs (IL-6: p < 0.001; LBP: p = 0.042). However, these associations could not be confirmed after adjustment for age, white blood cell count, reduced consciousness and NIHSS. When considering the subgroup of LRTIs, in patients who presented early (≤12 h after stroke, n = 139), IL-6 was independently associated with LRTIs (OR: 1.073, 95% CI: 1.002–1.148). The ROC-analysis for prediction of LRTIs showed an AUC of 0.918 for the combination of IL-6 and clinical factors; (4) Conclusions: Blood biomarkers were not predictive for total SAIs. At early stages, IL-6 was independently associated with outcome-relevant LRTIs. Further studies need to clarify the use of biochemical markers to identify patients prone to SAIs. MDPI 2022-11-09 /pmc/articles/PMC9694763/ /pubmed/36430226 http://dx.doi.org/10.3390/ijms232213747 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hasse, Isabel M. C.
Grosse, Gerrit M.
Schuppner, Ramona
Van Gemmeren, Till
Gabriel, Maria M.
Weissenborn, Karin
Lichtinghagen, Ralf
Worthmann, Hans
Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections
title Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections
title_full Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections
title_fullStr Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections
title_full_unstemmed Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections
title_short Circulating Inflammatory Biomarkers in Early Prediction of Stroke-Associated Infections
title_sort circulating inflammatory biomarkers in early prediction of stroke-associated infections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694763/
https://www.ncbi.nlm.nih.gov/pubmed/36430226
http://dx.doi.org/10.3390/ijms232213747
work_keys_str_mv AT hasseisabelmc circulatinginflammatorybiomarkersinearlypredictionofstrokeassociatedinfections
AT grossegerritm circulatinginflammatorybiomarkersinearlypredictionofstrokeassociatedinfections
AT schuppnerramona circulatinginflammatorybiomarkersinearlypredictionofstrokeassociatedinfections
AT vangemmerentill circulatinginflammatorybiomarkersinearlypredictionofstrokeassociatedinfections
AT gabrielmariam circulatinginflammatorybiomarkersinearlypredictionofstrokeassociatedinfections
AT weissenbornkarin circulatinginflammatorybiomarkersinearlypredictionofstrokeassociatedinfections
AT lichtinghagenralf circulatinginflammatorybiomarkersinearlypredictionofstrokeassociatedinfections
AT worthmannhans circulatinginflammatorybiomarkersinearlypredictionofstrokeassociatedinfections