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A prognostic scoring system for arm exercise stress testing

OBJECTIVE: Arm exercise stress testing may be an equivalent or better predictor of mortality outcome than pharmacological stress imaging for the ≥50% for patients unable to perform leg exercise. Thus, our objective was to develop an arm exercise ECG stress test scoring system, analogous to the Duke...

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Autores principales: Xie, Yan, Xian, Hong, Chandiramani, Pooja, Bainter, Emily, Wan, Leping, Martin, Wade H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716453/
https://www.ncbi.nlm.nih.gov/pubmed/26835142
http://dx.doi.org/10.1136/openhrt-2015-000333
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author Xie, Yan
Xian, Hong
Chandiramani, Pooja
Bainter, Emily
Wan, Leping
Martin, Wade H
author_facet Xie, Yan
Xian, Hong
Chandiramani, Pooja
Bainter, Emily
Wan, Leping
Martin, Wade H
author_sort Xie, Yan
collection PubMed
description OBJECTIVE: Arm exercise stress testing may be an equivalent or better predictor of mortality outcome than pharmacological stress imaging for the ≥50% for patients unable to perform leg exercise. Thus, our objective was to develop an arm exercise ECG stress test scoring system, analogous to the Duke Treadmill Score, for predicting outcome in these individuals. METHODS: In this retrospective observational cohort study, arm exercise ECG stress tests were performed in 443 consecutive veterans aged 64.1 (11.1) years. (mean (SD)) between 1997 and 2002. From multivariate Cox models, arm exercise scores were developed for prediction of 5-year and 12-year all-cause and cardiovascular mortality and 5-year cardiovascular mortality or myocardial infarction (MI). RESULTS: Arm exercise capacity in resting metabolic equivalents (METs), 1 min heart rate recovery (HRR) and ST segment depression ≥1 mm were the stress test variables independently associated with all-cause and cardiovascular mortality by step-wise Cox analysis (all p<0.01). A score based on the relation HRR (bpm)+7.3×METs−10.5×ST depression (0=no; 1=yes) prognosticated 5-year cardiovascular mortality with a C-statistic of 0.81 before and 0.88 after adjustment for significant demographic and clinical covariates. Arm exercise scores for the other outcome end points yielded C-statistic values of 0.77–0.79 before and 0.82–0.86 after adjustment for significant covariates versus 0.64–0.72 for best fit pharmacological myocardial perfusion imaging models in a cohort of 1730 veterans who were evaluated over the same time period. CONCLUSIONS: Arm exercise scores, analogous to the Duke Treadmill Score, have good power for prediction of mortality or MI in patients who cannot perform leg exercise.
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spelling pubmed-47164532016-01-29 A prognostic scoring system for arm exercise stress testing Xie, Yan Xian, Hong Chandiramani, Pooja Bainter, Emily Wan, Leping Martin, Wade H Open Heart Special Populations OBJECTIVE: Arm exercise stress testing may be an equivalent or better predictor of mortality outcome than pharmacological stress imaging for the ≥50% for patients unable to perform leg exercise. Thus, our objective was to develop an arm exercise ECG stress test scoring system, analogous to the Duke Treadmill Score, for predicting outcome in these individuals. METHODS: In this retrospective observational cohort study, arm exercise ECG stress tests were performed in 443 consecutive veterans aged 64.1 (11.1) years. (mean (SD)) between 1997 and 2002. From multivariate Cox models, arm exercise scores were developed for prediction of 5-year and 12-year all-cause and cardiovascular mortality and 5-year cardiovascular mortality or myocardial infarction (MI). RESULTS: Arm exercise capacity in resting metabolic equivalents (METs), 1 min heart rate recovery (HRR) and ST segment depression ≥1 mm were the stress test variables independently associated with all-cause and cardiovascular mortality by step-wise Cox analysis (all p<0.01). A score based on the relation HRR (bpm)+7.3×METs−10.5×ST depression (0=no; 1=yes) prognosticated 5-year cardiovascular mortality with a C-statistic of 0.81 before and 0.88 after adjustment for significant demographic and clinical covariates. Arm exercise scores for the other outcome end points yielded C-statistic values of 0.77–0.79 before and 0.82–0.86 after adjustment for significant covariates versus 0.64–0.72 for best fit pharmacological myocardial perfusion imaging models in a cohort of 1730 veterans who were evaluated over the same time period. CONCLUSIONS: Arm exercise scores, analogous to the Duke Treadmill Score, have good power for prediction of mortality or MI in patients who cannot perform leg exercise. BMJ Publishing Group 2016-01-12 /pmc/articles/PMC4716453/ /pubmed/26835142 http://dx.doi.org/10.1136/openhrt-2015-000333 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Special Populations
Xie, Yan
Xian, Hong
Chandiramani, Pooja
Bainter, Emily
Wan, Leping
Martin, Wade H
A prognostic scoring system for arm exercise stress testing
title A prognostic scoring system for arm exercise stress testing
title_full A prognostic scoring system for arm exercise stress testing
title_fullStr A prognostic scoring system for arm exercise stress testing
title_full_unstemmed A prognostic scoring system for arm exercise stress testing
title_short A prognostic scoring system for arm exercise stress testing
title_sort prognostic scoring system for arm exercise stress testing
topic Special Populations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716453/
https://www.ncbi.nlm.nih.gov/pubmed/26835142
http://dx.doi.org/10.1136/openhrt-2015-000333
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