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Patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians

BACKGROUND AND PURPOSE: In neurorehabilitation clinical practice, assessment is usually more oriented to evaluate patient’s present status, than to plan interventions according to predicted outcomes. Therefore, we conducted an extensive review of current prognostic models available in the literature...

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Detalles Bibliográficos
Autores principales: Salvalaggio, Silvia, Boccuni, Leonardo, Turolla, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278330/
https://www.ncbi.nlm.nih.gov/pubmed/37337288
http://dx.doi.org/10.1186/s40945-023-00167-4
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author Salvalaggio, Silvia
Boccuni, Leonardo
Turolla, Andrea
author_facet Salvalaggio, Silvia
Boccuni, Leonardo
Turolla, Andrea
author_sort Salvalaggio, Silvia
collection PubMed
description BACKGROUND AND PURPOSE: In neurorehabilitation clinical practice, assessment is usually more oriented to evaluate patient’s present status, than to plan interventions according to predicted outcomes. Therefore, we conducted an extensive review of current prognostic models available in the literature for recovery prediction of many functions and constructs, after stroke. We reported results in the form of a practical guide for clinicians, with the aim of promoting the culture of early clinical assessment for patient stratification, according to expected outcome. SUMMARY OF KEY POINTS: To define a roadmap for clinicians, a stepwise sequence of five actions has been developed, from collecting information of past medical history to the adoption of validated prediction tools. Furthermore, a clinically-oriented organization of available prediction tools for recovery after stroke have been proposed for motor, language, physiological and independency functions. Finally, biomarkers and online resources with prognostic value have been reviewed, to give the most updated state of the art on prediction tools after stroke. RECOMMENDATIONS FOR CLINICAL PRACTICE: Clinical assessment should be directed both towards the objective evaluation of the present health status, and to the prediction of expected recovery. The use of specific outcome measures with predictive value is recommended to help clinicians with the definition of sound therapeutic goals.
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spelling pubmed-102783302023-06-20 Patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians Salvalaggio, Silvia Boccuni, Leonardo Turolla, Andrea Arch Physiother Masterclass BACKGROUND AND PURPOSE: In neurorehabilitation clinical practice, assessment is usually more oriented to evaluate patient’s present status, than to plan interventions according to predicted outcomes. Therefore, we conducted an extensive review of current prognostic models available in the literature for recovery prediction of many functions and constructs, after stroke. We reported results in the form of a practical guide for clinicians, with the aim of promoting the culture of early clinical assessment for patient stratification, according to expected outcome. SUMMARY OF KEY POINTS: To define a roadmap for clinicians, a stepwise sequence of five actions has been developed, from collecting information of past medical history to the adoption of validated prediction tools. Furthermore, a clinically-oriented organization of available prediction tools for recovery after stroke have been proposed for motor, language, physiological and independency functions. Finally, biomarkers and online resources with prognostic value have been reviewed, to give the most updated state of the art on prediction tools after stroke. RECOMMENDATIONS FOR CLINICAL PRACTICE: Clinical assessment should be directed both towards the objective evaluation of the present health status, and to the prediction of expected recovery. The use of specific outcome measures with predictive value is recommended to help clinicians with the definition of sound therapeutic goals. BioMed Central 2023-06-19 /pmc/articles/PMC10278330/ /pubmed/37337288 http://dx.doi.org/10.1186/s40945-023-00167-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Masterclass
Salvalaggio, Silvia
Boccuni, Leonardo
Turolla, Andrea
Patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians
title Patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians
title_full Patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians
title_fullStr Patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians
title_full_unstemmed Patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians
title_short Patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians
title_sort patient’s assessment and prediction of recovery after stroke: a roadmap for clinicians
topic Masterclass
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278330/
https://www.ncbi.nlm.nih.gov/pubmed/37337288
http://dx.doi.org/10.1186/s40945-023-00167-4
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