Polyscore of autonomic parameters for risk stratification of the elderly general population: the Polyscore study

Autor: Katerina Hnatkova, Daniel Sinnecker, Alexander Hapfelmeier, Georg Schmidt, Alexander Müller, Othmar Gotzler, Alexander Steger, Petra Barthel, Marek Malik, Katharina M. Huster, Kurt Ulm, Teresa Gotzler, Michael Dommasch, Karl-Ludwig Laugwitz
Přispěvatelé: British Heart Foundation
Rok vydání: 2020
Předmět:
Zdroj: Europace
Popis: Aims Present society is constantly ageing and elderly frequently suffer from conditions that are difficult and/or costly to treat if detected late. Effective screening of the elderly is therefore needed so that those requiring detailed clinical work-up are identified early. We present a prospective validation of a screening strategy based on a Polyscore of seven predominantly autonomic, non-invasive risk markers. Methods and results Within a population-based survey in Germany (INVADE study), participants aged ≥60 years were enrolled between August 2013 and February 2015. Seven prospectively defined Polyscore components were obtained during 30-min continuous recordings of electrocardiogram, blood pressure, and respiration. Out of 1956 subjects, 168 were excluded due to atrial fibrillation, implanted pacemaker, or unsuitable recordings. All-cause mortality over a median 4-year follow-up was prospectively defined as the primary endpoint. The Polyscore divided the investigated population (n = 1788, median age: 72 years, females: 58%) into three predefined groups with low (n = 1405, 78.6%), intermediate (n = 326, 18.2%), and high risk (n = 57, 3.2%). During the follow-up, 82 (4.6%) participants died. Mortality in the Polyscore-defined risk groups was 3.4%, 7.4%, and 17.5%, respectively (P Conclusion The Polyscore-based mortality risk assessment from short-term non-invasive recordings is effective in the elderly general population, especially those aged 60–74 years. Implementation of a comprehensive Polyscore screening of this age group is proposed to advance preventive medical care.
Databáze: OpenAIRE