Scaling Echocardiographic Cardiac Dimensions to Body Size: A Bayesian Analysis in Healthy Men and Women

Ignacio Iglesias-Garriz1, David Alonso2, Carmen Garrote2

  • 1Department of Cardiology, Complejo Asistencial Universitario de Leon, Leon, Spain. jiiglesias@saludcastillayleon.es.

Insights

Accurate cardiac dimension scaling is crucial for clinical cardiology. This study found that optimal allometric coefficients (ACs) for scaling differ from standard isometric assumptions, impacting size estimations.

Area of Science:

  • Cardiology
  • Biometry
  • Physiology

Background:

  • Accurate scaling of cardiac dimensions is vital for clinical cardiology decisions.
  • Current normalization methods often assume an isometric relationship between cardiac size and body size.
  • Investigating optimal allometric coefficients (ACs) is necessary for precise scaling.

Purpose of the Study:

  • To determine the best allometric coefficients (ACs) for scaling various cardiac dimensions.
  • To compare these ACs with traditional isometric coefficients.
  • To assess the impact of using incorrect scaling factors on cardiac structure size estimations.

Main Methods:

  • Ninety-seven healthy volunteers were analyzed.
  • Cardiac dimensions scaled included left atrial volume, left ventricular volumes (end-diastolic and end-systolic), and tricuspid annulus diameter.
  • Bayesian statistical analysis was employed with isometric coefficients as priors.

Main Results:

  • Linear correlations between cardiac dimensions and body size varied, with modest ranges observed.
  • Allometric coefficients (ACs) differed across cardiac dimensions and body size measurements.
  • For left atrial volume-weight and end-diastolic volume-height, isometric coefficients fell outside the 95% highest density interval, indicating non-isometric relationships.

Conclusions:

  • The determined allometric coefficients (ACs) for cardiac structure scaling differ from standard isometric coefficients and often from 1.
  • These findings necessitate consideration when normalizing cardiac structures to body size in clinical practice.
  • Failure to use appropriate ACs can lead to significant errors in cardiac size estimations.
Abstract