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Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study

Validated risk scoring systems in African American (AA) population are under studied. We utilized history, electrocardiogram, age, risk factors, and initial troponin (HEART) and thrombolysis in myocardial infarction (TIMI) scores to predict major adverse cardiovascular events (MACE) in non-high card...

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Autores principales: Bhattacharya, Priyanka T., Golamari, Reshma R., Vunnam, Sandhya, Moparthi, Smitha, Venkatappa, Neethi, Dollard, Denis J., Missri, Jose, Yang, Wei, Kimmel, Stephen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708799/
https://www.ncbi.nlm.nih.gov/pubmed/31393346
http://dx.doi.org/10.1097/MD.0000000000016370
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author Bhattacharya, Priyanka T.
Golamari, Reshma R.
Vunnam, Sandhya
Moparthi, Smitha
Venkatappa, Neethi
Dollard, Denis J.
Missri, Jose
Yang, Wei
Kimmel, Stephen E.
author_facet Bhattacharya, Priyanka T.
Golamari, Reshma R.
Vunnam, Sandhya
Moparthi, Smitha
Venkatappa, Neethi
Dollard, Denis J.
Missri, Jose
Yang, Wei
Kimmel, Stephen E.
author_sort Bhattacharya, Priyanka T.
collection PubMed
description Validated risk scoring systems in African American (AA) population are under studied. We utilized history, electrocardiogram, age, risk factors, and initial troponin (HEART) and thrombolysis in myocardial infarction (TIMI) scores to predict major adverse cardiovascular events (MACE) in non-high cardiovascular (CV) risk predominantly AA patient population. A retrospective emergency department (ED) charts review of 1266 chest pain patients where HEART and TIMI scores were calculated for each patient. Logistic regression model was computed to predict 6-week and 1-year MACE and 90-day cardiac readmission. Decision curve analysis (DCA) was constructed to differentiate between clinical strategies in non-high CV risk patients. Of the 817 patients included, 500 patients had low HEART score vs. 317 patients who had moderate HEART score. Six hundred sixty-three patients had low TIMI score vs. 154 patients had high TIMI score. The univariate logistic regression model shows odds ratio of predicting 6-week MACE using HEART score was 3.11 (95% confidence interval [CI] 1.43–6.76, P = .004) with increase in risk category from low to moderate vs. 2.07 (95% CI 1.18–3.63, P = .011) using TIMI score with increase in risk category from low to high and c-statistic of 0.86 vs. 0.79, respectively. DCA showed net benefit of using HEART score is equally predictive of 6-week MACE when compared to TIMI. In non-high CV risk AA patients, HEART score is better predictive tool for 6-week MACE when compared to TIMI score. Furthermore, patients presenting to ED with chest pain, the optimal strategy for a 2% to 4% miss rate threshold probability should be to discharge these patients from the ED.
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spelling pubmed-67087992019-10-01 Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study Bhattacharya, Priyanka T. Golamari, Reshma R. Vunnam, Sandhya Moparthi, Smitha Venkatappa, Neethi Dollard, Denis J. Missri, Jose Yang, Wei Kimmel, Stephen E. Medicine (Baltimore) Research Article Validated risk scoring systems in African American (AA) population are under studied. We utilized history, electrocardiogram, age, risk factors, and initial troponin (HEART) and thrombolysis in myocardial infarction (TIMI) scores to predict major adverse cardiovascular events (MACE) in non-high cardiovascular (CV) risk predominantly AA patient population. A retrospective emergency department (ED) charts review of 1266 chest pain patients where HEART and TIMI scores were calculated for each patient. Logistic regression model was computed to predict 6-week and 1-year MACE and 90-day cardiac readmission. Decision curve analysis (DCA) was constructed to differentiate between clinical strategies in non-high CV risk patients. Of the 817 patients included, 500 patients had low HEART score vs. 317 patients who had moderate HEART score. Six hundred sixty-three patients had low TIMI score vs. 154 patients had high TIMI score. The univariate logistic regression model shows odds ratio of predicting 6-week MACE using HEART score was 3.11 (95% confidence interval [CI] 1.43–6.76, P = .004) with increase in risk category from low to moderate vs. 2.07 (95% CI 1.18–3.63, P = .011) using TIMI score with increase in risk category from low to high and c-statistic of 0.86 vs. 0.79, respectively. DCA showed net benefit of using HEART score is equally predictive of 6-week MACE when compared to TIMI. In non-high CV risk AA patients, HEART score is better predictive tool for 6-week MACE when compared to TIMI score. Furthermore, patients presenting to ED with chest pain, the optimal strategy for a 2% to 4% miss rate threshold probability should be to discharge these patients from the ED. Wolters Kluwer Health 2019-08-09 /pmc/articles/PMC6708799/ /pubmed/31393346 http://dx.doi.org/10.1097/MD.0000000000016370 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Bhattacharya, Priyanka T.
Golamari, Reshma R.
Vunnam, Sandhya
Moparthi, Smitha
Venkatappa, Neethi
Dollard, Denis J.
Missri, Jose
Yang, Wei
Kimmel, Stephen E.
Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study
title Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study
title_full Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study
title_fullStr Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study
title_full_unstemmed Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study
title_short Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study
title_sort predictive risk stratification using heart (history, electrocardiogram, age, risk factors, and initial troponin) and timi (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: an african american urban community based hospital study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708799/
https://www.ncbi.nlm.nih.gov/pubmed/31393346
http://dx.doi.org/10.1097/MD.0000000000016370
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