Evaluation of a new device for home cardiorespiratory recording in children

Patrick J P Poels1, Anne G M Schilder, Sandra van den Berg

  • 1Julius Center for Health Sciences and General Practice, the Department of Otorhinolaryngology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3508 AB Utrecht, the Netherlands.

Insights

A new home cardiorespiratory recording device (HCRD) showed low success rates for unattended pediatric sleep apnea diagnosis. Only 29% of recordings were successful, with nasal cannula signals being the poorest quality.

Area of Science:

  • Pediatric Sleep Medicine
  • Medical Device Technology

Background:

  • Home cardiorespiratory recording devices (HCRD) offer potential for diagnosing sleep-disordered breathing in children.
  • Assessing the feasibility of novel HCRDs is crucial for improving accessibility to diagnosis.

Purpose of the Study:

  • To evaluate the feasibility of using a new home cardiorespiratory recording device (HCRD) in children for diagnosing sleep-disordered breathing.
  • To determine the technical success rate of unattended, single-night recordings in a pediatric population.

Main Methods:

  • A cross-sectional study involving consecutive children scheduled for adenotonsillectomy.
  • Single-night unattended home cardiorespiratory recordings were performed using the HCRD prior to surgery.
  • Key outcomes included the number of technically acceptable and successful recordings with artifact-free signals.

Main Results:

  • Only 24 out of 53 eligible children participated, with caregiver refusal being the primary barrier.
  • Technically acceptable recordings were achieved in 75% of participants.
  • However, only 29% of recordings met the criteria for successful diagnosis, with nasal cannula signals exhibiting the lowest quality.

Conclusions:

  • Single-night unattended home cardiorespiratory recordings using this HCRD did not meet expectations based on strict scoring criteria.
  • Further refinement of HCRD technology and methodology is needed to improve diagnostic accuracy in pediatric sleep apnea evaluations.
Abstract

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