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Development and validation of the Dutch Stroke Score for predicting disability and functional outcome after ischemic stroke: A tool to support efficient discharge planning

INTRODUCTION: We aimed to develop and validate a prognostic score for disability at discharge and functional outcome at three months in patients with acute ischemic stroke based on clinical information available on admission. PATIENTS AND METHODS: The Dutch Stroke Score (DSS) was developed in 1227 p...

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Autores principales: de Ridder, Inger R, Dijkland, Simone A, Scheele, Maaike, den Hertog, Heleen M, Dirks, Maaike, Westendorp, Willeke F, Nederkoorn, Paul J, van de Beek, Diederik, Ribbers, Gerard M, Steyerberg, Ewout W, Lingsma, Hester F, Dippel, Diederik WJ
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992735/
https://www.ncbi.nlm.nih.gov/pubmed/29900414
http://dx.doi.org/10.1177/2396987318754591
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author de Ridder, Inger R
Dijkland, Simone A
Scheele, Maaike
den Hertog, Heleen M
Dirks, Maaike
Westendorp, Willeke F
Nederkoorn, Paul J
van de Beek, Diederik
Ribbers, Gerard M
Steyerberg, Ewout W
Lingsma, Hester F
Dippel, Diederik WJ
author_facet de Ridder, Inger R
Dijkland, Simone A
Scheele, Maaike
den Hertog, Heleen M
Dirks, Maaike
Westendorp, Willeke F
Nederkoorn, Paul J
van de Beek, Diederik
Ribbers, Gerard M
Steyerberg, Ewout W
Lingsma, Hester F
Dippel, Diederik WJ
author_sort de Ridder, Inger R
collection PubMed
description INTRODUCTION: We aimed to develop and validate a prognostic score for disability at discharge and functional outcome at three months in patients with acute ischemic stroke based on clinical information available on admission. PATIENTS AND METHODS: The Dutch Stroke Score (DSS) was developed in 1227 patients with ischemic stroke included in the Paracetamol (Acetaminophen) In Stroke study. Predictors for Barthel Index (BI) at discharge (‘DSS-discharge’) and modified Rankin Scale (mRS) at three months (‘DSS-3 months’) were identified in multivariable ordinal regression. The models were internally validated with bootstrapping techniques. The DSS-3 months was externally validated in the PRomoting ACute Thrombolysis in Ischemic StrokE study (1589 patients) and the Preventive Antibiotics in Stroke Study (2107 patients). Model performance was assessed in terms of discrimination, expressed by the area under the receiver operating characteristic curve (AUC), and calibration. RESULTS: At model development, the strongest predictors of Barthel Index at discharge were age per decade over 60 (odds ratio = 1.55, 95% confidence interval (CI) 1.41–1.68), National Institutes of Health Stroke Scale (odds ratio = 1.24 per point, 95% CI 1.22–1.26) and diabetes (odds ratio = 1.62, 95% CI 1.32–1.91). The internally validated AUC was 0.76 (95% CI 0.75–0.79). The DSS-3 months, additionally consisting of previous stroke and atrial fibrillation, performed similarly at internal (AUC 0.75, 95% CI 0.74–0.77) and external validation (AUC 0.74 in PRomoting ACute Thrombolysis in Ischemic StrokE (95% CI 0.72–0.76) and 0.69 in Preventive Antibiotics in Stroke Study (95% CI 0.69–0.72)). Observed outcome was slightly better than predicted. Discussion: The DSS had satisfactory performance in predicting BI at discharge and mRS at three months in ischemic stroke patients. CONCLUSION: If further validated, the DSS may contribute to efficient stroke unit discharge planning alongside patients' contextual factors and therapeutic needs.
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spelling pubmed-59927352018-06-11 Development and validation of the Dutch Stroke Score for predicting disability and functional outcome after ischemic stroke: A tool to support efficient discharge planning de Ridder, Inger R Dijkland, Simone A Scheele, Maaike den Hertog, Heleen M Dirks, Maaike Westendorp, Willeke F Nederkoorn, Paul J van de Beek, Diederik Ribbers, Gerard M Steyerberg, Ewout W Lingsma, Hester F Dippel, Diederik WJ Eur Stroke J Original Research Articles INTRODUCTION: We aimed to develop and validate a prognostic score for disability at discharge and functional outcome at three months in patients with acute ischemic stroke based on clinical information available on admission. PATIENTS AND METHODS: The Dutch Stroke Score (DSS) was developed in 1227 patients with ischemic stroke included in the Paracetamol (Acetaminophen) In Stroke study. Predictors for Barthel Index (BI) at discharge (‘DSS-discharge’) and modified Rankin Scale (mRS) at three months (‘DSS-3 months’) were identified in multivariable ordinal regression. The models were internally validated with bootstrapping techniques. The DSS-3 months was externally validated in the PRomoting ACute Thrombolysis in Ischemic StrokE study (1589 patients) and the Preventive Antibiotics in Stroke Study (2107 patients). Model performance was assessed in terms of discrimination, expressed by the area under the receiver operating characteristic curve (AUC), and calibration. RESULTS: At model development, the strongest predictors of Barthel Index at discharge were age per decade over 60 (odds ratio = 1.55, 95% confidence interval (CI) 1.41–1.68), National Institutes of Health Stroke Scale (odds ratio = 1.24 per point, 95% CI 1.22–1.26) and diabetes (odds ratio = 1.62, 95% CI 1.32–1.91). The internally validated AUC was 0.76 (95% CI 0.75–0.79). The DSS-3 months, additionally consisting of previous stroke and atrial fibrillation, performed similarly at internal (AUC 0.75, 95% CI 0.74–0.77) and external validation (AUC 0.74 in PRomoting ACute Thrombolysis in Ischemic StrokE (95% CI 0.72–0.76) and 0.69 in Preventive Antibiotics in Stroke Study (95% CI 0.69–0.72)). Observed outcome was slightly better than predicted. Discussion: The DSS had satisfactory performance in predicting BI at discharge and mRS at three months in ischemic stroke patients. CONCLUSION: If further validated, the DSS may contribute to efficient stroke unit discharge planning alongside patients' contextual factors and therapeutic needs. SAGE Publications 2018-01-25 2018-06 /pmc/articles/PMC5992735/ /pubmed/29900414 http://dx.doi.org/10.1177/2396987318754591 Text en © European Stroke Organisation 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Articles
de Ridder, Inger R
Dijkland, Simone A
Scheele, Maaike
den Hertog, Heleen M
Dirks, Maaike
Westendorp, Willeke F
Nederkoorn, Paul J
van de Beek, Diederik
Ribbers, Gerard M
Steyerberg, Ewout W
Lingsma, Hester F
Dippel, Diederik WJ
Development and validation of the Dutch Stroke Score for predicting disability and functional outcome after ischemic stroke: A tool to support efficient discharge planning
title Development and validation of the Dutch Stroke Score for predicting disability and functional outcome after ischemic stroke: A tool to support efficient discharge planning
title_full Development and validation of the Dutch Stroke Score for predicting disability and functional outcome after ischemic stroke: A tool to support efficient discharge planning
title_fullStr Development and validation of the Dutch Stroke Score for predicting disability and functional outcome after ischemic stroke: A tool to support efficient discharge planning
title_full_unstemmed Development and validation of the Dutch Stroke Score for predicting disability and functional outcome after ischemic stroke: A tool to support efficient discharge planning
title_short Development and validation of the Dutch Stroke Score for predicting disability and functional outcome after ischemic stroke: A tool to support efficient discharge planning
title_sort development and validation of the dutch stroke score for predicting disability and functional outcome after ischemic stroke: a tool to support efficient discharge planning
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992735/
https://www.ncbi.nlm.nih.gov/pubmed/29900414
http://dx.doi.org/10.1177/2396987318754591
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