Can functional cardiac age be predicted from the ECG in a normal healthy population?

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

We hypothesized that in a normal healthy population changes in several ECG parameters together might reliably characterize the functional age of the heart. Data from 377 healthy subjects (209 men, 168 women, aged 4 to 75 years) were included in the study. In all subjects, ECG recordings (resting 5-minute 12-lead high fidelity ECG) were evaluated via custom software programs to calculate up to 120 different conventional and advanced ECG parameters. Using factor analysis, those 5 parameters that exhibited the highest linear correlations with age and that were mutually the least correlated were evaluated by multiple linear regression analysis to predict the functional electrical age of the heart. Ignoring small differences between males and females, functional electrical age was best predicted (R2 of 0.76, P < 0.001) by multiple linear regression analysis incorporating the RR-interval normalized high frequency variability of RRV; the RR-interval normalized value of a QT variability parameter called QTcor; the mean high frequency QRS (150-250 Hz) amplitude; the mean ST segment level at the J point; and the body mass index. In apparently healthy subjects, functional cardiac age can be estimated by multiple linear regression analysis of mostly advanced ECG parameters.

Details

Authors
Organisations
External organisations
  • University of Ljubljana
  • National Aeronautics and Space Administration (NASA)
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cardiac and Cardiovascular Systems
Original languageEnglish
Title of host publicationComputing in Cardiology 2012, CinC 2012
Pages101-104
Number of pages4
Volume39
Publication statusPublished - 2012
Publication categoryResearch
Peer-reviewedYes
Event39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland
Duration: 2012 Sep 92012 Sep 12

Conference

Conference39th Computing in Cardiology Conference, CinC 2012
CountryPoland
CityKrakow
Period2012/09/092012/09/12