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Polyscore of Non-invasive Cardiac Risk Factors
Alexander Steger1, Alexander Müller1, Petra Barthel1
1Klinik für Innere Medizin I, Technische Universität München, Munich, Germany.
Insights
A new Polyscore combining seven non-invasive cardiac risk predictors accurately identifies high-risk patients after myocardial infarction. This simple score aids in stratifying cardiac patients for better risk assessment and management.
Area of Science:
- Cardiology
- Biomedical Engineering
- Clinical Risk Assessment
Background:
- Non-invasive risk stratification in cardiac patients is crucial for improving outcomes.
- Existing methods often focus on single predictors or limited combinations.
- There is a need for enhanced accuracy in identifying high-risk cardiac patient groups.
Purpose of the Study:
- To introduce and evaluate a novel combination score, the Polyscore, for non-invasive cardiac risk stratification.
- To assess the Polyscore's ability to predict mortality in survivors of acute myocardial infarction.
- To determine if combining seven autonomic cardiovascular regulation indices improves risk assessment accuracy.
Main Methods:
- Developed the Polyscore by combining seven non-invasive risk stratifiers of autonomic cardiovascular control.
- Assessed the Polyscore in 941 acute myocardial infarction survivors using 30-minute simultaneous recordings (ECG, blood pressure, respiration).
- Analyzed the association between Polyscore strata and 5-year mortality rates using hazard ratios and Kaplan-Meier analysis.
Main Results:
- The Polyscore, ranging from 0 to 7, showed an almost exponential increase in mortality hazard ratios with higher scores (p < 0.0001).
- Distinct low-risk (Polyscore ≤ 2), intermediate-risk (Polyscore 3-4), and high-risk (Polyscore ≥ 5) groups were identified.
- The Polyscore demonstrated significant differences in Kaplan-Meier mortality probabilities across risk strata.
Conclusions:
- The Polyscore is a promising, simple, and non-invasive tool for cardiac risk stratification.
- It effectively identifies varying mortality risks in post-myocardial infarction patients.
- The Polyscore's short recording duration makes it suitable for clinical application and population screening, pending prospective validation.
Abstract:
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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