Cargando…

A comparative analysis of risk stratification tools for emergency department patients with chest pain

BACKGROUND: Appropriate disposition of emergency department (ED) patients with chest pain is dependent on clinical evaluation of risk. A number of chest pain risk stratification tools have been proposed. The aim of this study was to compare the predictive performance for major adverse cardiac events...

Descripción completa

Detalles Bibliográficos
Autores principales: Burkett, Ellen, Marwick, Thomas, Thom, Ogilvie, Kelly, Anne-Maree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922183/
https://www.ncbi.nlm.nih.gov/pubmed/24506937
http://dx.doi.org/10.1186/1865-1380-7-10
_version_ 1782303419448426496
author Burkett, Ellen
Marwick, Thomas
Thom, Ogilvie
Kelly, Anne-Maree
author_facet Burkett, Ellen
Marwick, Thomas
Thom, Ogilvie
Kelly, Anne-Maree
author_sort Burkett, Ellen
collection PubMed
description BACKGROUND: Appropriate disposition of emergency department (ED) patients with chest pain is dependent on clinical evaluation of risk. A number of chest pain risk stratification tools have been proposed. The aim of this study was to compare the predictive performance for major adverse cardiac events (MACE) using risk assessment tools from the National Heart Foundation of Australia (HFA), the Goldman risk score and the Thrombolysis in Myocardial Infarction risk score (TIMI RS). METHODS: This prospective observational study evaluated ED patients aged ≥30 years with non-traumatic chest pain for which no definitive non-ischemic cause was found. Data collected included demographic and clinical information, investigation findings and occurrence of MACE by 30 days. The outcome of interest was the comparative predictive performance of the risk tools for MACE at 30 days, as analyzed by receiver operator curves (ROC). RESULTS: Two hundred eighty-one patients were studied; the rate of MACE was 14.1%. Area under the curve (AUC) of the HFA, TIMI RS and Goldman tools for the endpoint of MACE was 0.54, 0.71 and 0.67, respectively, with the difference between the tools in predictive ability for MACE being highly significant [chi(2) (3) = 67.21, N = 276, p < 0.0001]. CONCLUSION: The TIMI RS and Goldman tools performed better than the HFA in this undifferentiated ED chest pain population, but selection of cutoffs balancing sensitivity and specificity was problematic. There is an urgent need for validated risk stratification tools specific for the ED chest pain population.
format Online
Article
Text
id pubmed-3922183
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Springer
record_format MEDLINE/PubMed
spelling pubmed-39221832014-02-20 A comparative analysis of risk stratification tools for emergency department patients with chest pain Burkett, Ellen Marwick, Thomas Thom, Ogilvie Kelly, Anne-Maree Int J Emerg Med Original Research BACKGROUND: Appropriate disposition of emergency department (ED) patients with chest pain is dependent on clinical evaluation of risk. A number of chest pain risk stratification tools have been proposed. The aim of this study was to compare the predictive performance for major adverse cardiac events (MACE) using risk assessment tools from the National Heart Foundation of Australia (HFA), the Goldman risk score and the Thrombolysis in Myocardial Infarction risk score (TIMI RS). METHODS: This prospective observational study evaluated ED patients aged ≥30 years with non-traumatic chest pain for which no definitive non-ischemic cause was found. Data collected included demographic and clinical information, investigation findings and occurrence of MACE by 30 days. The outcome of interest was the comparative predictive performance of the risk tools for MACE at 30 days, as analyzed by receiver operator curves (ROC). RESULTS: Two hundred eighty-one patients were studied; the rate of MACE was 14.1%. Area under the curve (AUC) of the HFA, TIMI RS and Goldman tools for the endpoint of MACE was 0.54, 0.71 and 0.67, respectively, with the difference between the tools in predictive ability for MACE being highly significant [chi(2) (3) = 67.21, N = 276, p < 0.0001]. CONCLUSION: The TIMI RS and Goldman tools performed better than the HFA in this undifferentiated ED chest pain population, but selection of cutoffs balancing sensitivity and specificity was problematic. There is an urgent need for validated risk stratification tools specific for the ED chest pain population. Springer 2014-02-07 /pmc/articles/PMC3922183/ /pubmed/24506937 http://dx.doi.org/10.1186/1865-1380-7-10 Text en Copyright © 2014 Burkett et al.; licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Burkett, Ellen
Marwick, Thomas
Thom, Ogilvie
Kelly, Anne-Maree
A comparative analysis of risk stratification tools for emergency department patients with chest pain
title A comparative analysis of risk stratification tools for emergency department patients with chest pain
title_full A comparative analysis of risk stratification tools for emergency department patients with chest pain
title_fullStr A comparative analysis of risk stratification tools for emergency department patients with chest pain
title_full_unstemmed A comparative analysis of risk stratification tools for emergency department patients with chest pain
title_short A comparative analysis of risk stratification tools for emergency department patients with chest pain
title_sort comparative analysis of risk stratification tools for emergency department patients with chest pain
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922183/
https://www.ncbi.nlm.nih.gov/pubmed/24506937
http://dx.doi.org/10.1186/1865-1380-7-10
work_keys_str_mv AT burkettellen acomparativeanalysisofriskstratificationtoolsforemergencydepartmentpatientswithchestpain
AT marwickthomas acomparativeanalysisofriskstratificationtoolsforemergencydepartmentpatientswithchestpain
AT thomogilvie acomparativeanalysisofriskstratificationtoolsforemergencydepartmentpatientswithchestpain
AT kellyannemaree acomparativeanalysisofriskstratificationtoolsforemergencydepartmentpatientswithchestpain
AT burkettellen comparativeanalysisofriskstratificationtoolsforemergencydepartmentpatientswithchestpain
AT marwickthomas comparativeanalysisofriskstratificationtoolsforemergencydepartmentpatientswithchestpain
AT thomogilvie comparativeanalysisofriskstratificationtoolsforemergencydepartmentpatientswithchestpain
AT kellyannemaree comparativeanalysisofriskstratificationtoolsforemergencydepartmentpatientswithchestpain