UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Three-Dimensional Imaging-Based Web Application for Predicting Tracheal Tube Depth in Preterm Neonates

Tupprasoot, R; Langan, D; Hutchinson, JC; Barrett, H; Sury, MR; Arthurs, OJ; (2017) Three-Dimensional Imaging-Based Web Application for Predicting Tracheal Tube Depth in Preterm Neonates. Neonatology , 111 (4) pp. 376-382. 10.1159/000455036. Green open access

[img]
Preview
Text
Arthurs_Trachea manuscript 23-11-16 copy.pdf - ["content_typename_Accepted version" not defined]

Download (299kB) | Preview

Abstract

BACKGROUND: Positioning a tracheal tube (TT) to the correct depth in preterm infants is challenging. Currently, there is no reliable single-predictor model for neonates applicable to the whole range of size or age. OBJECTIVE: In this study, we used post-mortem magnetic resonance imaging (PMMRI) of preterm infants to measure tracheal dimensions and to develop a clinical guide for TT positioning. METHODS: We measured tracheal length (TL) and tracheal diameter (TD) in a cohort of normal neonates and foetuses that underwent PMMRI (cause of death unexplained). The distance between the lips and the mid-tracheal point, i.e., the mid-tracheal length (mid-TL), and the TD measurement were obtained. We produced univariate prediction models of mid-TL and TD, using gestational age (GA), foot length (FL), crown-rump length (CRL) and body weight (BW) as potential predictors, as well as multiple prediction models for mid-TL. RESULTS: Tracheal measurements were performed in 117 cases, with a mean GA of 28.8 weeks (range 14-42 weeks). The best linear association was between mid-TL and FL (mid-TL = FL × 0.914 + 1.859; R2 = 0.94), but was improved by multivariate regression models. We developed a prediction tool using only GA and BW (R2 = 0.92), and all four predictors (GA, BW, FL and CRL; R2 = 0.94) which is now available as a web-based application via the Internet. CONCLUSION: Post-mortem imaging data provide estimates of TT insertion depth. Our prediction tool based on age and BW can be used at the bedside and is ready to be tested in clinical practice.

Type: Article
Title: Three-Dimensional Imaging-Based Web Application for Predicting Tracheal Tube Depth in Preterm Neonates
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.1159/000455036
Publisher version: http://doi.org/10.1159/000455036
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Airway, Trachea, Post-mortem magnetic resonance imaging, Foetus
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health > ICH Developmental Neurosciences Prog
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > UCL GOS Institute of Child Health > ICH Pop, Policy and Practice Prog
URI: http://discovery.ucl.ac.uk/id/eprint/1539664
Downloads since deposit
61Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item