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Predictive value of weight gain and airway obstruction in isolated Robin sequence

Bart M Stubenitsky1, Helena O B Taylor, Daniel Peters

  • 1HSC Centre for Craniofacial Care and Research, Division of Plastic Surgery, Hospital for Sick Children, Toronto, Ontario, Canada.

The Cleft Palate-Craniofacial Journal : Official Publication of the American Cleft Palate-Craniofacial Association
|July 2, 2010
PubMed

Insights

Weight gain and nasopharyngeal tube use in newborns with Robin sequence predict hospital stay duration. This helps in planning treatment and managing expectations for infants with this airway obstruction condition.

Area of Science:

  • Pediatric Otolaryngology
  • Neonatal Care
  • Genetics and Rare Diseases

Background:

  • Isolated Robin sequence presents challenges in managing airway obstruction and feeding difficulties in newborns.
  • Lack of clear treatment guidelines can result in extended hospital stays and delayed interventions.
  • Effective risk stratification is crucial for optimizing treatment strategies.

Purpose of the Study:

  • To identify prognostic factors for prolonged hospital stay in infants with isolated Robin sequence.
  • To establish reliable predictors for length of hospitalization.

Main Methods:

  • Retrospective multivariate analysis of 46 patients with isolated Robin sequence.
  • Data collected over the initial 4 weeks post-admission included hospital stay duration, airway obstruction management, respiratory rate, feeding difficulty management, and reflux therapy.

Main Results:

  • A correlation was observed between length of hospital stay, airway management, and weight gain within the first 4 weeks.
  • No significant correlation was found between hospital stay duration and respiratory rate, supplemental oxygen needs, or reflux therapy.

Conclusions:

  • Risk stratification is feasible for neonates with isolated Robin sequence.
  • Delayed weight gain in Robin sequence is linked to the severity of airway obstruction.
  • Nasopharyngeal tube requirement and initial weight gain are reliable predictors of hospital stay duration, aiding in planning and setting expectations.
Abstract

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