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Polyscore of Non-invasive Cardiac Risk Factors

Non-invasive risk stratification of cardiac patients has been the subject of numerous studies. Most of these investigations either researched unique risk predictors or compared the predictive power of different predictors. Fewer studies suggested a combination of a small number of non-invasive indic...

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Autores principales: Steger, Alexander, Müller, Alexander, Barthel, Petra, Dommasch, Michael, Huster, Katharina Maria, Hnatkova, Katerina, Sinnecker, Daniel, Hapfelmeier, Alexander, Malik, Marek, Schmidt, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369149/
https://www.ncbi.nlm.nih.gov/pubmed/30778303
http://dx.doi.org/10.3389/fphys.2019.00049
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author Steger, Alexander
Müller, Alexander
Barthel, Petra
Dommasch, Michael
Huster, Katharina Maria
Hnatkova, Katerina
Sinnecker, Daniel
Hapfelmeier, Alexander
Malik, Marek
Schmidt, Georg
author_facet Steger, Alexander
Müller, Alexander
Barthel, Petra
Dommasch, Michael
Huster, Katharina Maria
Hnatkova, Katerina
Sinnecker, Daniel
Hapfelmeier, Alexander
Malik, Marek
Schmidt, Georg
author_sort Steger, Alexander
collection PubMed
description Non-invasive risk stratification of cardiac patients has been the subject of numerous studies. Most of these investigations either researched unique risk predictors or compared the predictive power of different predictors. Fewer studies suggested a combination of a small number of non-invasive indices to increase the accuracy of high-risk group selection. To advance non-invasive risk assessment of cardiac patients, we propose a combination score (termed the Polyscore) of seven different cardiac risk stratifiers that predominantly quantify autonomic cardiovascular control and regulation, namely the slope of heart rate turbulence, deceleration capacity of heart rate, non-invasively assessed baroreflex sensitivity, resting respiration frequency, expiration triggered sinus arrhythmia, post-ectopic potentiation of systolic blood pressure, and frequency of supraventricular and ventricular ectopic beats. These risk stratification tests have previously been researched and their dichotomies defining abnormal results have been derived from previous reports. The Polyscore combination was defined as the number of positive tests among these seven risk predictors, giving a numerical scale which ranges from 0 (all tests normal) to 7 (all tests abnormal). The Polyscore was tested in a population of 941 contemporarily treated survivors of acute myocardial infarction (median age 61 years, 182 females) of whom 72 (7.65%) died during a 5-year follow-up. In these patients, all the risk predictors combined in the Polyscore were assessed during in-hospital 30-min simultaneous non-invasive recordings of high-frequency orthogonal electrocardiogram, continuous blood pressure and respiration. Compared to Polyscore 0 stratum, the hazard ratios of mortality during follow-up increased almost exponentially in strata 1 through 7 (vs. stratus 0, the hazard ratios were 1.37, 1.96, 7.03, 15.0, 35.7, 48.2, and 114, in strata 1 to 7, respectively; p < 0.0001). This allowed selecting low-risk (Polyscore ≤ 2), intermediate risk (Polyscore 3 or 4) and high-risk (Polyscore ≥ 5) sub-groups of the population that differed greatly in the Kaplan–Meier probabilities of mortality during follow-up. Since the Polyscore was derived from recordings of only 30-min duration, it can be reasonably applied in different clinical situations including population-wide screening. We can therefore conclude that the Polyscore is a reasonable method for cardiac risk stratification that is ready for prospective validation in future independent studies.
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spelling pubmed-63691492019-02-18 Polyscore of Non-invasive Cardiac Risk Factors Steger, Alexander Müller, Alexander Barthel, Petra Dommasch, Michael Huster, Katharina Maria Hnatkova, Katerina Sinnecker, Daniel Hapfelmeier, Alexander Malik, Marek Schmidt, Georg Front Physiol Physiology Non-invasive risk stratification of cardiac patients has been the subject of numerous studies. Most of these investigations either researched unique risk predictors or compared the predictive power of different predictors. Fewer studies suggested a combination of a small number of non-invasive indices to increase the accuracy of high-risk group selection. To advance non-invasive risk assessment of cardiac patients, we propose a combination score (termed the Polyscore) of seven different cardiac risk stratifiers that predominantly quantify autonomic cardiovascular control and regulation, namely the slope of heart rate turbulence, deceleration capacity of heart rate, non-invasively assessed baroreflex sensitivity, resting respiration frequency, expiration triggered sinus arrhythmia, post-ectopic potentiation of systolic blood pressure, and frequency of supraventricular and ventricular ectopic beats. These risk stratification tests have previously been researched and their dichotomies defining abnormal results have been derived from previous reports. The Polyscore combination was defined as the number of positive tests among these seven risk predictors, giving a numerical scale which ranges from 0 (all tests normal) to 7 (all tests abnormal). The Polyscore was tested in a population of 941 contemporarily treated survivors of acute myocardial infarction (median age 61 years, 182 females) of whom 72 (7.65%) died during a 5-year follow-up. In these patients, all the risk predictors combined in the Polyscore were assessed during in-hospital 30-min simultaneous non-invasive recordings of high-frequency orthogonal electrocardiogram, continuous blood pressure and respiration. Compared to Polyscore 0 stratum, the hazard ratios of mortality during follow-up increased almost exponentially in strata 1 through 7 (vs. stratus 0, the hazard ratios were 1.37, 1.96, 7.03, 15.0, 35.7, 48.2, and 114, in strata 1 to 7, respectively; p < 0.0001). This allowed selecting low-risk (Polyscore ≤ 2), intermediate risk (Polyscore 3 or 4) and high-risk (Polyscore ≥ 5) sub-groups of the population that differed greatly in the Kaplan–Meier probabilities of mortality during follow-up. Since the Polyscore was derived from recordings of only 30-min duration, it can be reasonably applied in different clinical situations including population-wide screening. We can therefore conclude that the Polyscore is a reasonable method for cardiac risk stratification that is ready for prospective validation in future independent studies. Frontiers Media S.A. 2019-02-04 /pmc/articles/PMC6369149/ /pubmed/30778303 http://dx.doi.org/10.3389/fphys.2019.00049 Text en Copyright © 2019 Steger, Müller, Barthel, Dommasch, Huster, Hnatkova, Sinnecker, Hapfelmeier, Malik and Schmidt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Steger, Alexander
Müller, Alexander
Barthel, Petra
Dommasch, Michael
Huster, Katharina Maria
Hnatkova, Katerina
Sinnecker, Daniel
Hapfelmeier, Alexander
Malik, Marek
Schmidt, Georg
Polyscore of Non-invasive Cardiac Risk Factors
title Polyscore of Non-invasive Cardiac Risk Factors
title_full Polyscore of Non-invasive Cardiac Risk Factors
title_fullStr Polyscore of Non-invasive Cardiac Risk Factors
title_full_unstemmed Polyscore of Non-invasive Cardiac Risk Factors
title_short Polyscore of Non-invasive Cardiac Risk Factors
title_sort polyscore of non-invasive cardiac risk factors
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369149/
https://www.ncbi.nlm.nih.gov/pubmed/30778303
http://dx.doi.org/10.3389/fphys.2019.00049
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