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Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death
This study aimed to develop a risk prediction model for epilepsy-related death in adults. In this age- and sex-matched case-control study, we compared adults (aged ≥16 years) who had epilepsy-related death between 2009 and 2016 to living adults with epilepsy in Scotland. Cases were identified from v...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232261/ https://www.ncbi.nlm.nih.gov/pubmed/36477471 http://dx.doi.org/10.1093/brain/awac463 |
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author | Mbizvo, Gashirai K Schnier, Christian Simpson, Colin R Duncan, Susan E Chin, Richard F M |
author_facet | Mbizvo, Gashirai K Schnier, Christian Simpson, Colin R Duncan, Susan E Chin, Richard F M |
author_sort | Mbizvo, Gashirai K |
collection | PubMed |
description | This study aimed to develop a risk prediction model for epilepsy-related death in adults. In this age- and sex-matched case-control study, we compared adults (aged ≥16 years) who had epilepsy-related death between 2009 and 2016 to living adults with epilepsy in Scotland. Cases were identified from validated administrative national datasets linked to mortality records. ICD-10 cause-of-death coding was used to define epilepsy-related death. Controls were recruited from a research database and epilepsy clinics. Clinical data from medical records were abstracted and used to undertake univariable and multivariable conditional logistic regression to develop a risk prediction model consisting of four variables chosen a priori. A weighted sum of the factors present was taken to create a risk index—the Scottish Epilepsy Deaths Study Score. Odds ratios were estimated with 95% confidence intervals (CIs). Here, 224 deceased cases (mean age 48 years, 114 male) and 224 matched living controls were compared. In univariable analysis, predictors of epilepsy-related death were recent epilepsy-related accident and emergency attendance (odds ratio 5.1, 95% CI 3.2–8.3), living in deprived areas (odds ratio 2.5, 95% CI 1.6–4.0), developmental epilepsy (odds ratio 3.1, 95% CI 1.7–5.7), raised Charlson Comorbidity Index score (odds ratio 2.5, 95% CI 1.2–5.2), alcohol abuse (odds ratio 4.4, 95% CI 2.2–9.2), absent recent neurology review (odds ratio 3.8, 95% CI 2.4–6.1) and generalized epilepsy (odds ratio 1.9, 95% CI 1.2–3.0). Scottish Epilepsy Deaths Study Score model variables were derived from the first four listed before, with Charlson Comorbidity Index ≥2 given 1 point, living in the two most deprived areas given 2 points, having an inherited or congenital aetiology or risk factor for developing epilepsy given 2 points and recent epilepsy-related accident and emergency attendance given 3 points. Compared to having a Scottish Epilepsy Deaths Study Score of 0, those with a Scottish Epilepsy Deaths Study Score of 1 remained low risk, with odds ratio 1.6 (95% CI 0.5–4.8). Those with a Scottish Epilepsy Deaths Study Score of 2–3 had moderate risk, with odds ratio 2.8 (95% CI 1.3–6.2). Those with a Scottish Epilepsy Deaths Study Score of 4–5 and 6–8 were high risk, with odds ratio 14.4 (95% CI 5.9–35.2) and 24.0 (95% CI 8.1–71.2), respectively. The Scottish Epilepsy Deaths Study Score may be a helpful tool for identifying adults at high risk of epilepsy-related death and requires external validation. |
format | Online Article Text |
id | pubmed-10232261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102322612023-06-01 Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death Mbizvo, Gashirai K Schnier, Christian Simpson, Colin R Duncan, Susan E Chin, Richard F M Brain Original Article This study aimed to develop a risk prediction model for epilepsy-related death in adults. In this age- and sex-matched case-control study, we compared adults (aged ≥16 years) who had epilepsy-related death between 2009 and 2016 to living adults with epilepsy in Scotland. Cases were identified from validated administrative national datasets linked to mortality records. ICD-10 cause-of-death coding was used to define epilepsy-related death. Controls were recruited from a research database and epilepsy clinics. Clinical data from medical records were abstracted and used to undertake univariable and multivariable conditional logistic regression to develop a risk prediction model consisting of four variables chosen a priori. A weighted sum of the factors present was taken to create a risk index—the Scottish Epilepsy Deaths Study Score. Odds ratios were estimated with 95% confidence intervals (CIs). Here, 224 deceased cases (mean age 48 years, 114 male) and 224 matched living controls were compared. In univariable analysis, predictors of epilepsy-related death were recent epilepsy-related accident and emergency attendance (odds ratio 5.1, 95% CI 3.2–8.3), living in deprived areas (odds ratio 2.5, 95% CI 1.6–4.0), developmental epilepsy (odds ratio 3.1, 95% CI 1.7–5.7), raised Charlson Comorbidity Index score (odds ratio 2.5, 95% CI 1.2–5.2), alcohol abuse (odds ratio 4.4, 95% CI 2.2–9.2), absent recent neurology review (odds ratio 3.8, 95% CI 2.4–6.1) and generalized epilepsy (odds ratio 1.9, 95% CI 1.2–3.0). Scottish Epilepsy Deaths Study Score model variables were derived from the first four listed before, with Charlson Comorbidity Index ≥2 given 1 point, living in the two most deprived areas given 2 points, having an inherited or congenital aetiology or risk factor for developing epilepsy given 2 points and recent epilepsy-related accident and emergency attendance given 3 points. Compared to having a Scottish Epilepsy Deaths Study Score of 0, those with a Scottish Epilepsy Deaths Study Score of 1 remained low risk, with odds ratio 1.6 (95% CI 0.5–4.8). Those with a Scottish Epilepsy Deaths Study Score of 2–3 had moderate risk, with odds ratio 2.8 (95% CI 1.3–6.2). Those with a Scottish Epilepsy Deaths Study Score of 4–5 and 6–8 were high risk, with odds ratio 14.4 (95% CI 5.9–35.2) and 24.0 (95% CI 8.1–71.2), respectively. The Scottish Epilepsy Deaths Study Score may be a helpful tool for identifying adults at high risk of epilepsy-related death and requires external validation. Oxford University Press 2022-12-07 /pmc/articles/PMC10232261/ /pubmed/36477471 http://dx.doi.org/10.1093/brain/awac463 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Mbizvo, Gashirai K Schnier, Christian Simpson, Colin R Duncan, Susan E Chin, Richard F M Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death |
title | Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death |
title_full | Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death |
title_fullStr | Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death |
title_full_unstemmed | Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death |
title_short | Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death |
title_sort | case-control study developing scottish epilepsy deaths study score to predict epilepsy-related death |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232261/ https://www.ncbi.nlm.nih.gov/pubmed/36477471 http://dx.doi.org/10.1093/brain/awac463 |
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