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Study protocol: prediction of stroke associated infections by markers of autonomic control
BACKGROUND: Infection is the most important complication after acute stroke. This is substantially based on a stroke-induced immunosuppression. Heart rate variability (HRV) represents the autonomic nervous system activity in connection with stroke-induced immunomodulation and infections. We demonstr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900463/ https://www.ncbi.nlm.nih.gov/pubmed/24410797 http://dx.doi.org/10.1186/1471-2377-14-9 |
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author | Brämer, Dirk Hoyer, Heike Günther, Albrecht Nowack, Samuel Brunkhorst, Frank M Witte, Otto W Hoyer, Dirk |
author_facet | Brämer, Dirk Hoyer, Heike Günther, Albrecht Nowack, Samuel Brunkhorst, Frank M Witte, Otto W Hoyer, Dirk |
author_sort | Brämer, Dirk |
collection | PubMed |
description | BACKGROUND: Infection is the most important complication after acute stroke. This is substantially based on a stroke-induced immunosuppression. Heart rate variability (HRV) represents the autonomic nervous system activity in connection with stroke-induced immunomodulation and infections. We demonstrated in a feasibility study that HRV indices obtained in patients without acute post-stroke infections can predict infections in the subsequent sub-acute phase. METHODS/DESIGN: The study PRED-SEP is a prospective observational study. Adult patients with acute ischemic infarction in the territory of the middle cerebral artery and severe neurological deficit (National Institutes of Health Stroke Scale: NIHSS ≥ 8) are recruited. Primary endpoint is the development of infections, secondary endpoints are SIRS and severe sepsis in the sub-acute phase (day 3–5) after stroke and the functional outcome after 3 months. Infection is defined according to the PANTHERIS study and comprises pneumonia, urinary tract infection and infections without determined focus. SIRS and severe sepsis are defined according to German Sepsis Society guidelines. Functional outcome is measured by lethality and neurological scores (modified Rankin Scale, Barthel Index). Prognostic factors are HRV risk indices calculated from selected intervals of 24 h ECG measurements within 48 hours after symptom onset. It is planned to recruit 240 patients. HRV risk indices (predictors) will be calculated according to standards and procedures previously developed and published by the authors. The predictive effects of HRV indices on infections will be estimated by fitting logistic regression models and estimating odds ratios with 95% confidence intervals. A prespecified modelling procedure will be applied to estimate unadjusted and confounder adjusted odds ratios. Secondary endpoints will be analysed in the same way. The functional outcome scales will be dichotomized. The association between HRV indices and pro- and anti-inflammatory markers will be quantified by calculating the appropriate correlation coefficients according to scale (Person or Spearman). DISCUSSION: Since a general prophylactic antibiotic treatment after stroke is not recommended, results of this study could have essential implications for an early identification and hence, timely appropriate treating of stroke-induced infections. TRIAL REGISTRATION: Prädiktoren für die Sepsis - Pred Sep, German Clinical Trials Register: DRKS00003392. |
format | Online Article Text |
id | pubmed-3900463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39004632014-01-24 Study protocol: prediction of stroke associated infections by markers of autonomic control Brämer, Dirk Hoyer, Heike Günther, Albrecht Nowack, Samuel Brunkhorst, Frank M Witte, Otto W Hoyer, Dirk BMC Neurol Study Protocol BACKGROUND: Infection is the most important complication after acute stroke. This is substantially based on a stroke-induced immunosuppression. Heart rate variability (HRV) represents the autonomic nervous system activity in connection with stroke-induced immunomodulation and infections. We demonstrated in a feasibility study that HRV indices obtained in patients without acute post-stroke infections can predict infections in the subsequent sub-acute phase. METHODS/DESIGN: The study PRED-SEP is a prospective observational study. Adult patients with acute ischemic infarction in the territory of the middle cerebral artery and severe neurological deficit (National Institutes of Health Stroke Scale: NIHSS ≥ 8) are recruited. Primary endpoint is the development of infections, secondary endpoints are SIRS and severe sepsis in the sub-acute phase (day 3–5) after stroke and the functional outcome after 3 months. Infection is defined according to the PANTHERIS study and comprises pneumonia, urinary tract infection and infections without determined focus. SIRS and severe sepsis are defined according to German Sepsis Society guidelines. Functional outcome is measured by lethality and neurological scores (modified Rankin Scale, Barthel Index). Prognostic factors are HRV risk indices calculated from selected intervals of 24 h ECG measurements within 48 hours after symptom onset. It is planned to recruit 240 patients. HRV risk indices (predictors) will be calculated according to standards and procedures previously developed and published by the authors. The predictive effects of HRV indices on infections will be estimated by fitting logistic regression models and estimating odds ratios with 95% confidence intervals. A prespecified modelling procedure will be applied to estimate unadjusted and confounder adjusted odds ratios. Secondary endpoints will be analysed in the same way. The functional outcome scales will be dichotomized. The association between HRV indices and pro- and anti-inflammatory markers will be quantified by calculating the appropriate correlation coefficients according to scale (Person or Spearman). DISCUSSION: Since a general prophylactic antibiotic treatment after stroke is not recommended, results of this study could have essential implications for an early identification and hence, timely appropriate treating of stroke-induced infections. TRIAL REGISTRATION: Prädiktoren für die Sepsis - Pred Sep, German Clinical Trials Register: DRKS00003392. BioMed Central 2014-01-13 /pmc/articles/PMC3900463/ /pubmed/24410797 http://dx.doi.org/10.1186/1471-2377-14-9 Text en Copyright © 2014 Brämer 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Study Protocol Brämer, Dirk Hoyer, Heike Günther, Albrecht Nowack, Samuel Brunkhorst, Frank M Witte, Otto W Hoyer, Dirk Study protocol: prediction of stroke associated infections by markers of autonomic control |
title | Study protocol: prediction of stroke associated infections by markers of autonomic control |
title_full | Study protocol: prediction of stroke associated infections by markers of autonomic control |
title_fullStr | Study protocol: prediction of stroke associated infections by markers of autonomic control |
title_full_unstemmed | Study protocol: prediction of stroke associated infections by markers of autonomic control |
title_short | Study protocol: prediction of stroke associated infections by markers of autonomic control |
title_sort | study protocol: prediction of stroke associated infections by markers of autonomic control |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900463/ https://www.ncbi.nlm.nih.gov/pubmed/24410797 http://dx.doi.org/10.1186/1471-2377-14-9 |
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