Prediction of uncuffed tracheal tube sizes in children and infants using age/weight-based formulae: A retrospective cross-sectional study-Reference-Cited by-同舟云学术

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Prediction of uncuffed tracheal tube sizes in children and infants using age/weight-based formulae: A retrospective cross-sectional study

Published:2019-07 Issue: Volume:122 Page:105-110
ISSN:0165-5876
Container-title:International Journal of Pediatric Otorhinolaryngology
language:en
Short-container-title:International Journal of Pediatric Otorhinolaryngology

Author:

Oofuvong Maliwan,Nuanjun Kanjana,Sangkaew Tidarut,McNeil Edward

Funder

Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand

Publisher

Elsevier BV

Subject

Otorhinolaryngology,General Medicine,Pediatrics, Perinatology, and Child Health

Reference19 articles.

1. Pediatric formulas for the anesthesiologist;Cole;Am. J. Dis. Child.,1957

2. Endotracheal tube sizes for children;Keep;Anaesthesia,1974

3. Prediction of tracheal tube size in children using multiple variables;Eck;Paediatr. Anaesth.,2002

4. Variation in subglottic size in children;Mostafa;Proc. Roy. Soc. Med.,1976

5. How reliable is length based determination of body weight and tracheal tube size in the paediatric age group? The Broselow tape reconsidered;Hofer;Br. J. Anaesth.,2002

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1. Effect of varying cuff sizes with identical inner diameter on endotracheal intubation in critically ill adults: A sealed tracheal controlled trial;Medicine;2024-06-14

2. The development of prediction model for cuffed tracheal tube size from the middle finger in pediatrics: a concise and feasible approach;Translational Pediatrics;2023-12

3. Prediction of endotracheal tube size in pediatric patients: Development and validation of machine learning models;Frontiers in Pediatrics;2022-10-20

4. Ultrasonography measurement of glottic transverse diameter and subglottic diameter to predict endotracheal tube size in children: a prospective cohort study;Scientific Reports;2022-09-08

5. Prediction of Endotracheal Tube Size in Pediatric Patients: Development and Validation of Machine Learning Models;SSRN Electronic Journal;2022

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