Cargando…
SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit
BACKGROUND: Timely and accurate identification of subgroup at risk for major adverse cardiovascular events among patients presenting with acute chest pain remains a challenge. Currently available risk stratification scores are suboptimal. Recently, a new scoring system called the Symptoms, history o...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453257/ https://www.ncbi.nlm.nih.gov/pubmed/36160811 http://dx.doi.org/10.4330/wjc.v14.i8.454 |
_version_ | 1784785102975270912 |
---|---|
author | Antwi-Amoabeng, Daniel Roongsritong, Chanwit Taha, Moutaz Beutler, Bryce David Awad, Munadel Hanfy, Ahmed Ghuman, Jasmine Manasewitsch, Nicholas T Singh, Sahajpreet Quang, Claire Gullapalli, Nageshwara |
author_facet | Antwi-Amoabeng, Daniel Roongsritong, Chanwit Taha, Moutaz Beutler, Bryce David Awad, Munadel Hanfy, Ahmed Ghuman, Jasmine Manasewitsch, Nicholas T Singh, Sahajpreet Quang, Claire Gullapalli, Nageshwara |
author_sort | Antwi-Amoabeng, Daniel |
collection | PubMed |
description | BACKGROUND: Timely and accurate identification of subgroup at risk for major adverse cardiovascular events among patients presenting with acute chest pain remains a challenge. Currently available risk stratification scores are suboptimal. Recently, a new scoring system called the Symptoms, history of Vascular disease, Electrocardiography, Age, and Troponin (SVEAT) score has been shown to outperform the History, Electrocardiography, Age, Risk factors and Troponin (HEART) score, one of the most used risk scores in the United States. AIM: To assess the potential usefulness of the SVEAT score as a risk stratification tool by comparing its performance to HEART score in chest pain patients with low suspicion for acute coronary syndrome and admitted for overnight observation. METHODS: We retrospectively reviewed medical records of 330 consecutive patients admitted to our clinical decision unit for acute chest pain between January 1(st) to April 17(th), 2019. To avoid potential biases, investigators assigned to calculate the SVEAT, and HEART scores were blinded to the results of 30-d combined endpoint of death, acute myocardial infarction or confirmed coronary artery disease requiring revascularization or medical therapy [30-d major adverse cardiovascular event (MACE)]. An area under receiving-operator characteristic curve (AUC) for each score was then calculated. C-statistic and logistic model were used to compare predictive performance of the two scores. RESULTS: A 30-d MACE was observed in 11 patients (3.33% of the subjects). The AUC of SVEAT score (0.8876, 95%CI: 0.82-0.96) was significantly higher than the AUC of HEART score (0.7962, 95%CI: 0.71-0.88), P = 0.03. Using logistic model, SVEAT score with cut-off of 4 or less significantly predicts 30-d MACE (odd ratio 1.52, 95%CI: 1.19-1.95, P = 0.001) but not the HEART score (odd ratio 1.29, 95%CI: 0.78-2.14, P = 0.32). CONCLUSION: The SVEAT score is superior to the HEART score as a risk stratification tool for acute chest pain in low to intermediate risk patients. |
format | Online Article Text |
id | pubmed-9453257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-94532572022-09-23 SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit Antwi-Amoabeng, Daniel Roongsritong, Chanwit Taha, Moutaz Beutler, Bryce David Awad, Munadel Hanfy, Ahmed Ghuman, Jasmine Manasewitsch, Nicholas T Singh, Sahajpreet Quang, Claire Gullapalli, Nageshwara World J Cardiol Retrospective Cohort Study BACKGROUND: Timely and accurate identification of subgroup at risk for major adverse cardiovascular events among patients presenting with acute chest pain remains a challenge. Currently available risk stratification scores are suboptimal. Recently, a new scoring system called the Symptoms, history of Vascular disease, Electrocardiography, Age, and Troponin (SVEAT) score has been shown to outperform the History, Electrocardiography, Age, Risk factors and Troponin (HEART) score, one of the most used risk scores in the United States. AIM: To assess the potential usefulness of the SVEAT score as a risk stratification tool by comparing its performance to HEART score in chest pain patients with low suspicion for acute coronary syndrome and admitted for overnight observation. METHODS: We retrospectively reviewed medical records of 330 consecutive patients admitted to our clinical decision unit for acute chest pain between January 1(st) to April 17(th), 2019. To avoid potential biases, investigators assigned to calculate the SVEAT, and HEART scores were blinded to the results of 30-d combined endpoint of death, acute myocardial infarction or confirmed coronary artery disease requiring revascularization or medical therapy [30-d major adverse cardiovascular event (MACE)]. An area under receiving-operator characteristic curve (AUC) for each score was then calculated. C-statistic and logistic model were used to compare predictive performance of the two scores. RESULTS: A 30-d MACE was observed in 11 patients (3.33% of the subjects). The AUC of SVEAT score (0.8876, 95%CI: 0.82-0.96) was significantly higher than the AUC of HEART score (0.7962, 95%CI: 0.71-0.88), P = 0.03. Using logistic model, SVEAT score with cut-off of 4 or less significantly predicts 30-d MACE (odd ratio 1.52, 95%CI: 1.19-1.95, P = 0.001) but not the HEART score (odd ratio 1.29, 95%CI: 0.78-2.14, P = 0.32). CONCLUSION: The SVEAT score is superior to the HEART score as a risk stratification tool for acute chest pain in low to intermediate risk patients. Baishideng Publishing Group Inc 2022-08-26 2022-08-26 /pmc/articles/PMC9453257/ /pubmed/36160811 http://dx.doi.org/10.4330/wjc.v14.i8.454 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
spellingShingle | Retrospective Cohort Study Antwi-Amoabeng, Daniel Roongsritong, Chanwit Taha, Moutaz Beutler, Bryce David Awad, Munadel Hanfy, Ahmed Ghuman, Jasmine Manasewitsch, Nicholas T Singh, Sahajpreet Quang, Claire Gullapalli, Nageshwara SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit |
title | SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit |
title_full | SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit |
title_fullStr | SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit |
title_full_unstemmed | SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit |
title_short | SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit |
title_sort | sveat score outperforms heart score in patients admitted to a chest pain observation unit |
topic | Retrospective Cohort Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453257/ https://www.ncbi.nlm.nih.gov/pubmed/36160811 http://dx.doi.org/10.4330/wjc.v14.i8.454 |
work_keys_str_mv | AT antwiamoabengdaniel sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT roongsritongchanwit sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT tahamoutaz sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT beutlerbrycedavid sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT awadmunadel sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT hanfyahmed sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT ghumanjasmine sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT manasewitschnicholast sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT singhsahajpreet sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT quangclaire sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit AT gullapallinageshwara sveatscoreoutperformsheartscoreinpatientsadmittedtoachestpainobservationunit |