Abstract
Various patterns of respiratory abnormalities characterize specific sleep-disordered breathing syndromes. Scoring rules are relatively rigid approaches to maximize standardization, but result in a trade-off by discarding both clinically and pathophysiologically relevant patterns. Data for scoring are obtained from polysomnography, cardiopulmonary recordings, and therapy devices. In the near future, consumer-wearable devices should be expected to provide respiratory data. Scoring can usefully benefit from automated approaches, which can at least complement manual/visual scoring. Besides quantitative estimates, qualitative approaches can provide phenotyping information and enable more precise therapy, especially by differentiating obstructive diseases from hypoventilation or high loop gain conditions. Several conceptual approaches improve the sophistication of scoring, including recognizing REM/NREM differences, event timing and cycle length, duty cycle and expiratory duration variability, pathological pressure cycling associated with adaptive ventilation, and considering a range of associated features besides conventional arousals to improve quantification of respiratory events.
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Thomas, R.J. (2017). Scoring of Sleep-Related Breathing Events. In: Chokroverty, S. (eds) Sleep Disorders Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6578-6_25
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DOI: https://doi.org/10.1007/978-1-4939-6578-6_25
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