A study in the September issue of the
European Respiratory Journal demonstrates that epiglottic collapse can be identified from airflow signals measured during sleep studies. The authors suggest that this may enable clinicians to use clinical data to characterise underlying physiology – it may also improve treatment decisions. Read the full article
here or visit
erj.ersjournals.com to discover more in the September issue.
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