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Frequency of flow limitation using airflow shape.
Mann, Dwayne L; Georgeson, Thomas; Landry, Shane A; Edwards, Bradley A; Azarbarzin, Ali; Vena, Daniel; Hess, Lauren B; Wellman, Andrew; Redline, Susan; Sands, Scott A; Terrill, Philip I.
Afiliação
  • Mann DL; School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia.
  • Georgeson T; Institute for Social Science Research, University of Queensland, Brisbane, Australia.
  • Landry SA; Department of Physiology, School of Biomedical Sciences and Biomedical Discovery Institute, Monash University, Melbourne, Australia.
  • Edwards BA; School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia.
  • Azarbarzin A; Faculty of Medicine, University of Queensland, Brisbane, Australia.
  • Vena D; Department of Physiology, School of Biomedical Sciences and Biomedical Discovery Institute, Monash University, Melbourne, Australia.
  • Hess LB; School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia.
  • Wellman A; Department of Physiology, School of Biomedical Sciences and Biomedical Discovery Institute, Monash University, Melbourne, Australia.
  • Redline S; School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia.
  • Sands SA; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, MA, USA.
  • Terrill PI; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, MA, USA.
Sleep ; 44(12)2021 12 10.
Article em En | MEDLINE | ID: mdl-34240221
STUDY OBJECTIVES: The presence of flow limitation during sleep is associated with adverse health consequences independent of obstructive sleep apnea (OSA) severity (apnea-hypopnea index, AHI), but remains extremely challenging to quantify. Here we present a unique library and an accompanying automated method that we apply to investigate flow limitation during sleep. METHODS: A library of 117,871 breaths (N = 40 participants) were visually classified (certain flow limitation, possible flow limitation, normal) using airflow shape and physiological signals (ventilatory drive per intra-esophageal diaphragm EMG). An ordinal regression model was developed to quantify flow limitation certainty using flow-shape features (e.g. flattening, scooping); breath-by-breath agreement (Cohen's ƙ); and overnight flow limitation frequency (R2, %breaths in certain or possible categories during sleep) were compared against visual scoring. Subsequent application examined flow limitation frequency during arousals and stable breathing, and associations with ventilatory drive. RESULTS: The model (23 features) assessed flow limitation with good agreement (breath-by-breath ƙ = 0.572, p < 0.001) and minimal error (overnight flow limitation frequency R2 = 0.86, error = 7.2%). Flow limitation frequency was largely independent of AHI (R2 = 0.16) and varied widely within individuals with OSA (74[32-95]%breaths, mean[range], AHI > 15/h, N = 22). Flow limitation was unexpectedly frequent but variable during arousals (40[5-85]%breaths) and stable breathing (58[12-91]%breaths), and was associated with elevated ventilatory drive (R2 = 0.26-0.29; R2 < 0.01 AHI v. drive). CONCLUSIONS: Our method enables quantification of flow limitation frequency, a key aspect of obstructive sleep-disordered breathing that is independent of the AHI and often unavailable. Flow limitation frequency varies widely between individuals, is prevalent during arousals and stable breathing, and reveals elevated ventilatory drive. Clinical trial registration: The current observational physiology study does not qualify as a clinical trial.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article