Cardioventilatory Control in Preterm-born Children and the Risk of Obstructive Sleep Apnea

Keren Armoni Domany1,2, Md Monir Hossain3, Leonardo Nava-Guerra4

  • 11 Division of Pulmonary Medicine.

Insights

Ventilatory control phenotypes in preterm-born children predict obstructive sleep apnea (OSA) risk. Identifying these patterns can help personalize care for children susceptible to OSA.

Area of Science:

  • Pediatric Pulmonology
  • Sleep Medicine
  • Neurodevelopmental Pediatrics

Background:

  • Obstructive sleep apnea (OSA) is a significant concern in preterm-born children, yet the role of ventilatory control in its pathogenesis remains unclear.
  • Understanding ventilatory control mechanisms is crucial for identifying children at higher risk of developing OSA.

Purpose of the Study:

  • To characterize distinct phenotypes of ventilatory control associated with OSA in early childhood among preterm-born children.
  • To identify specific ventilatory control parameters that can stratify OSA risk in this population.

Main Methods:

  • Children born preterm and at term without comorbidities were enrolled and categorized into OSA and non-OSA groups based on polysomnography.
  • Ventilatory instability (loop gain, controller gain, plant gain) and brainstem maturation (cardiorespiratory coupling) were assessed.
  • Cluster analysis identified phenotypes based on controller gain, plant gain, cardiorespiratory coupling, and gestational age.

Main Results:

  • Three distinct ventilatory control phenotypes were identified, with OSA risks of 8%, 47%, and 77%.
  • A stepwise decrease in controller gain and increase in plant gain were observed across clusters, correlating with increased OSA risk.
  • Higher cardiorespiratory coupling and gestational age were associated with lower OSA risk phenotypes.

Conclusions:

  • Ventilatory control parameters, including controller gain, plant gain, cardiorespiratory coupling, and gestational age, can effectively stratify OSA risk in preterm-born children.
  • These findings support the development of personalized care strategies for children at risk of obstructive sleep apnea.
Abstract

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