Normal aortic dimensions and flow in 168 children and young adults

Tuija Poutanen1, Tero Tikanoja, Heikki Sairanen

  • 1Department of Paediatrics, Kuopio University Hospital, Kuopio, Finland. tuija.poutanen@koti.tpo.fi

Insights

This study establishes normal aortic dimensions and flow velocities in healthy children and young adults using echocardiography. These findings provide crucial reference data for diagnosing aortic root dilatation in pediatric patients.

Area of Science:

  • Pediatric Cardiology
  • Cardiovascular Imaging
  • Echocardiography

Background:

  • Accurate knowledge of normal aortic dimensions is essential for evaluating pediatric patients with aortic root dilatation.
  • Establishing normative data is critical for identifying abnormalities in children and young adults.

Purpose of the Study:

  • To establish normal values for aortic dimensions using two-dimensional echocardiography (2DE).
  • To determine normal values for aortic flow velocities with Doppler echocardiography.
  • To provide reference data for healthy children and young adults.

Main Methods:

  • One hundred sixty-eight healthy children and young adults were evaluated by a single observer.
  • Digitized two-dimensional (2DE) and Doppler echocardiography were employed.
  • Measurements were taken at multiple aortic levels, including the annulus, sinuses, sinotubular junction, and along the ascending and descending aorta.

Main Results:

  • Aortic dimensions, normalized to body surface area (BSA), were larger in smaller children.
  • BSA was the strongest predictor of aortic dimensions (r > 0.84, P < 0.001).
  • Flow velocities in the descending aorta were significantly higher than in the ascending aorta (P < 0.001).

Conclusions:

  • The study provides comprehensive reference data for aortic dimensions and flow velocities in a healthy pediatric and young adult population.
  • These normative values, obtained via 2DE and Doppler echocardiography, are vital for clinical use and future research in pediatric cardiovascular abnormalities.
  • The data will aid in the accurate assessment of conditions like aortic root dilatation.
Abstract

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