Chest
Clinical Investigations: Sleep and BreathingPulse Transit Time Improves Detection of Sleep Respiratory Events and Microarousals in Children
Section snippets
Patients
Eighteen unselected consecutive children referred for suspected sleep-disordered breathing were prospectively included in the study.
Polysomnography
All children underwent full-night polysomnography. Continuous recordings were taken of EEG with electrode positions C3/A2-C4/A1-Cz/O1 of the international 10–20 electrode placement system, eye movements, chin electromyogram, and ECG with modified V2 lead. Airflow was measured with NP, associated with the sum of buccal and nasal thermistor signals. Respiration was
Patients
On the 18 children initially included, 2 children were finally not taken into account for data analysis because of technical problems during PTT recordings. Population characteristics and main polysomnographic data are summarized in Table 1. Snoring was a constant symptom. Fifty percent of the children exhibited mouth breathing during wakefulness, 44% had daytime sleepiness, and 6% had enuresis. Six of the 16 children were obese (body mass index above the 18th percentile). None of the children
Optimization of the Detection of Subtle Respiratory Events by the Use of PTT
In adults, NP as a tool for quantifying airflow has demonstrated its ability to markedly increase the detection of nonapneic events compared to thermistors.2, 3 Mouth breathing is a clinical finding reported in up to 90% of children presenting with suspected obstructive sleep apnea.15, 16 Thus, this signal could be less accurate in children with predominant mouth breathing. In the current study, the NP signal was not interpretable for a 20% of the total duration of polysomnographic recordings.
Conclusion
Using PTT with other respiratory signals including NP allowed a better identification of significant respiratory events, particularly in the mild-to-moderate spectrum of the disease. Using PTT also improved the detection of arousals in REM and SWS. These AAs seem to better correlate with the number of respiratory events. Whether this kind of sleep fragmentation is also responsible for specific daytime consequences remain to be demonstrated. PTT signal could also help in identifying and
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Clinical research funding was provided by PHRC 1997, Ministeère de la recherche (249/97)