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Predictive value of the Status Epilepticus Severity Score (STESS) and its components for long-term survival
BACKGROUND: The “Status Epilepticus Severity Score” (STESS) is the most important clinical score to predict in-hospital mortality of patients with status epilepticus (SE), but its prognostic relevance for long-term survival is unknown. This study therefore examined if STESS and its components retain...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097843/ https://www.ncbi.nlm.nih.gov/pubmed/27816063 http://dx.doi.org/10.1186/s12883-016-0730-0 |
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author | Aukland, Preben Lando, Martin Vilholm, Ole Christiansen, Elsebeth Bruun Beier, Christoph Patrick |
author_facet | Aukland, Preben Lando, Martin Vilholm, Ole Christiansen, Elsebeth Bruun Beier, Christoph Patrick |
author_sort | Aukland, Preben |
collection | PubMed |
description | BACKGROUND: The “Status Epilepticus Severity Score” (STESS) is the most important clinical score to predict in-hospital mortality of patients with status epilepticus (SE), but its prognostic relevance for long-term survival is unknown. This study therefore examined if STESS and its components retain their prognostic relevance beyond acute treatment. METHODS: One hundred twenty-five non-anoxic patients with SE were retrospectively identified in two hospitals between 2008 and 2014 (39.2 % refractory SE). Patients’ treatment, demographic data, date of death, aetiology of SE, and the components of the STESS (age, history of seizures, level of consciousness and worst seizure type) were determined based on the patients’ records. RESULTS: In 94.4 % of patients, SE was treated successfully; in-hospital mortality rate was 12 %. The overall mortality was 42 % after median follow-up of 28.1 months. The survival plateaued after about 3 years, all patients with progressive brain diseases (n = 4) died within one year. In-hospital mortality correlated highly significantly with STESS, the optimal cut-off was 4. With respect to long-term outcome, STESS correlated significantly with overall mortality though with lower odds ratios. When looking only at patients that survived the acute phase of treatment, only the STESS components “level of consciousness” (at admission), “coma” as worst seizure type, and “age” reached a statistical significant association with mortality. In these patients, STESS with a cut-off of 4 was not significantly associated with survival/mortality. Aetiology of SE was insufficient to explain the weak association and the high mortality after discharge alone. CONCLUSION: STESS at onset of SE reliably assessed in-hospital mortality, and was indicative for overall survival. However, STESS did not allow correct estimation of mortality after discharge. The high mortality after discharge and high overall mortality of patients diagnosed with SE was not explained by progressive brain disorders alone. Further research is needed to understand the causes for high overall mortality after SE and putative prognostic factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12883-016-0730-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5097843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50978432016-11-08 Predictive value of the Status Epilepticus Severity Score (STESS) and its components for long-term survival Aukland, Preben Lando, Martin Vilholm, Ole Christiansen, Elsebeth Bruun Beier, Christoph Patrick BMC Neurol Research Article BACKGROUND: The “Status Epilepticus Severity Score” (STESS) is the most important clinical score to predict in-hospital mortality of patients with status epilepticus (SE), but its prognostic relevance for long-term survival is unknown. This study therefore examined if STESS and its components retain their prognostic relevance beyond acute treatment. METHODS: One hundred twenty-five non-anoxic patients with SE were retrospectively identified in two hospitals between 2008 and 2014 (39.2 % refractory SE). Patients’ treatment, demographic data, date of death, aetiology of SE, and the components of the STESS (age, history of seizures, level of consciousness and worst seizure type) were determined based on the patients’ records. RESULTS: In 94.4 % of patients, SE was treated successfully; in-hospital mortality rate was 12 %. The overall mortality was 42 % after median follow-up of 28.1 months. The survival plateaued after about 3 years, all patients with progressive brain diseases (n = 4) died within one year. In-hospital mortality correlated highly significantly with STESS, the optimal cut-off was 4. With respect to long-term outcome, STESS correlated significantly with overall mortality though with lower odds ratios. When looking only at patients that survived the acute phase of treatment, only the STESS components “level of consciousness” (at admission), “coma” as worst seizure type, and “age” reached a statistical significant association with mortality. In these patients, STESS with a cut-off of 4 was not significantly associated with survival/mortality. Aetiology of SE was insufficient to explain the weak association and the high mortality after discharge alone. CONCLUSION: STESS at onset of SE reliably assessed in-hospital mortality, and was indicative for overall survival. However, STESS did not allow correct estimation of mortality after discharge. The high mortality after discharge and high overall mortality of patients diagnosed with SE was not explained by progressive brain disorders alone. Further research is needed to understand the causes for high overall mortality after SE and putative prognostic factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12883-016-0730-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-05 /pmc/articles/PMC5097843/ /pubmed/27816063 http://dx.doi.org/10.1186/s12883-016-0730-0 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Research Article Aukland, Preben Lando, Martin Vilholm, Ole Christiansen, Elsebeth Bruun Beier, Christoph Patrick Predictive value of the Status Epilepticus Severity Score (STESS) and its components for long-term survival |
title | Predictive value of the Status Epilepticus Severity Score (STESS) and its components for long-term survival |
title_full | Predictive value of the Status Epilepticus Severity Score (STESS) and its components for long-term survival |
title_fullStr | Predictive value of the Status Epilepticus Severity Score (STESS) and its components for long-term survival |
title_full_unstemmed | Predictive value of the Status Epilepticus Severity Score (STESS) and its components for long-term survival |
title_short | Predictive value of the Status Epilepticus Severity Score (STESS) and its components for long-term survival |
title_sort | predictive value of the status epilepticus severity score (stess) and its components for long-term survival |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097843/ https://www.ncbi.nlm.nih.gov/pubmed/27816063 http://dx.doi.org/10.1186/s12883-016-0730-0 |
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