Charts and LMS tables of transfontanellar and transvertical ear-to-ear distances for gestational age

Abstract:

Introduction: To date cranial development has only been described by analyzing occipitofrontal circumference (OFC). More precise methods of determining head measurements have not been widely adopted. The use of additional measurements has the potential to better account for the three-dimensional structure of the head. Our aim was to put forward centile curves of such measurements for gestational age along with a compound head volume index. Methods: We created generalized additive models for location, scale, and shape of two ear-to-ear distances (EED), transfontanellar (fEED) and transvertical (vEED), from birth anthropometric data. Same was done for OFC, crown-heel length, and birth weight to allow for comparison of our models with growth charts by Voigt et al. and Fenton and Kim. Results: Growth charts and tables of LMS parameters for fEED and vEED were derived from 6,610 patients admitted to our NICU and 625 healthy term newborns. With increasing gestational age EEDs increase about half as fast compared to OFC in absolute terms, their relative growths are fairly similar. Discussion: Differences to the charts by Fenton and Kim are minute. Tape measurements, such as fEED or vEED can be added to routine anthropometry at little extra costs. These charts may be helpful for following and evaluating head sizes and growth of preterm and term infants in three dimensions.

Projects: SMITH - Smart Medical Information Technology for Healthcare

Publication type: Journal article

Journal: Front. Pediatr.

Publisher: Frontiers Media SA

Human Diseases: No Human Disease specified

Citation: Front. Pediatr. 10:838333

Date Published: 1st May 2022

Registered Mode: imported from a bibtex file

Authors: Nancy Arnold, Rudolf Georg Ascherl, Ulrich Herbert Thome

Help
help Submitter
Activity

Views: 485

Created: 24th Feb 2023 at 17:05

help Tags

This item has not yet been tagged.

help Attributions

None

Related items

Powered by
(v.1.13.0-master)
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies