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Syncope Prediction Scores in the Emergency Department

Syncope is a common clinical presentation defined as a transient loss of consciousness (TLOC) due to cerebral hypoperfusion, characterized by a rapid onset, short duration, and spontaneous complete recovery. Different clinical decision rules (CDRs) and risk stratification scores have been developed...

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Autores principales: Liang, Yan, Li, Xiulian, Tse, Gary, King, Emma, Roever, Leonardo, Li, Guangping, Liu, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896417/
https://www.ncbi.nlm.nih.gov/pubmed/35319380
http://dx.doi.org/10.2174/1573403X18666220321104129
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author Liang, Yan
Li, Xiulian
Tse, Gary
King, Emma
Roever, Leonardo
Li, Guangping
Liu, Tong
author_facet Liang, Yan
Li, Xiulian
Tse, Gary
King, Emma
Roever, Leonardo
Li, Guangping
Liu, Tong
author_sort Liang, Yan
collection PubMed
description Syncope is a common clinical presentation defined as a transient loss of consciousness (TLOC) due to cerebral hypoperfusion, characterized by a rapid onset, short duration, and spontaneous complete recovery. Different clinical decision rules (CDRs) and risk stratification scores have been developed to predict short- and long-term risks for adverse outcomes after syncope. The central theme of these prediction systems is consistent with the ESC syncope guidelines. Initial assessment according to the ESC guideline is essential until an optimal and well-validated risk score is available. The focus should be accurate risk stratification to allow prevention of adverse outcomes and optimize the use of limited healthcare resources. In this review article, we summarize and critically appraise the evidence regarding the CDRs for patients presenting with syncope.
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spelling pubmed-98964172023-11-02 Syncope Prediction Scores in the Emergency Department Liang, Yan Li, Xiulian Tse, Gary King, Emma Roever, Leonardo Li, Guangping Liu, Tong Curr Cardiol Rev Cardiology Syncope is a common clinical presentation defined as a transient loss of consciousness (TLOC) due to cerebral hypoperfusion, characterized by a rapid onset, short duration, and spontaneous complete recovery. Different clinical decision rules (CDRs) and risk stratification scores have been developed to predict short- and long-term risks for adverse outcomes after syncope. The central theme of these prediction systems is consistent with the ESC syncope guidelines. Initial assessment according to the ESC guideline is essential until an optimal and well-validated risk score is available. The focus should be accurate risk stratification to allow prevention of adverse outcomes and optimize the use of limited healthcare resources. In this review article, we summarize and critically appraise the evidence regarding the CDRs for patients presenting with syncope. Bentham Science Publishers 2022-09-16 2022-09-16 /pmc/articles/PMC9896417/ /pubmed/35319380 http://dx.doi.org/10.2174/1573403X18666220321104129 Text en © 2022 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Cardiology
Liang, Yan
Li, Xiulian
Tse, Gary
King, Emma
Roever, Leonardo
Li, Guangping
Liu, Tong
Syncope Prediction Scores in the Emergency Department
title Syncope Prediction Scores in the Emergency Department
title_full Syncope Prediction Scores in the Emergency Department
title_fullStr Syncope Prediction Scores in the Emergency Department
title_full_unstemmed Syncope Prediction Scores in the Emergency Department
title_short Syncope Prediction Scores in the Emergency Department
title_sort syncope prediction scores in the emergency department
topic Cardiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896417/
https://www.ncbi.nlm.nih.gov/pubmed/35319380
http://dx.doi.org/10.2174/1573403X18666220321104129
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