Literature DB >> 28419320

Therapeutic CPAP Level Predicts Upper Airway Collapsibility in Patients With Obstructive Sleep Apnea.

Shane A Landry1,2, Simon A Joosten3,4,5, Danny J Eckert6,7, Amy S Jordan6,8,9, Scott A Sands6,10, David P White6, Atul Malhotra6,11, Andrew Wellman6, Garun S Hamilton3,4,5, Bradley A Edwards1,2,6.   

Abstract

Study
Objectives: Upper airway collapsibility is a key determinant of obstructive sleep apnea (OSA) which can influence the efficacy of certain non-continuous positive airway pressure (CPAP) treatments for OSA. However, there is no simple way to measure this variable clinically. The present study aimed to develop a clinically implementable tool to evaluate the collapsibility of a patient's upper airway.
Methods: Collapsibility, as characterized by the passive pharyngeal critical closing pressure (Pcrit), was measured in 46 patients with OSA. Associations were investigated between Pcrit and data extracted from patient history and routine polysomnography, including CPAP titration.
Results: Therapeutic CPAP level, demonstrated the strongest relationship to Pcrit (r2=0.51, p < .001) of all the variables investigated including apnea-hypopnea index, body mass index, sex, and age. Patients with a mildly collapsible upper airway (Pcrit ≤ -2 cmH2O) had a lower therapeutic CPAP level (6.2 ± 0.6 vs. 10.3 ± 0.4 cmH2O, p < .001) compared to patients with more severe collapsibility (Pcrit > -2 cmH2O). A therapeutic CPAP level ≤8.0 cmH2O was sensitive (89%) and specific (84%) for detecting a mildly collapsible upper airway. When applied to the independent validation data set (n = 74), this threshold maintained high specificity (91%) but reduced sensitivity (75%). Conclusions: Our data demonstrate that a patient's therapeutic CPAP requirement shares a strong predictive relationship with their Pcrit and may be used to accurately differentiate OSA patients with mild airway collapsibility from those with moderate-to-severe collapsibility. Although this relationship needs to be confirmed prospectively, our findings may provide clinicians with better understanding of an individual patient's OSA phenotype, which ultimately could assist in determining which patients are most likely to respond to non-CPAP therapies. © Sleep Research Society 2017. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

Entities:  

Keywords:  CPAP; Obstructive sleep apnea; Pcrit; collapsibility; phenotyping

Mesh:

Year:  2017        PMID: 28419320      PMCID: PMC6410952          DOI: 10.1093/sleep/zsx056

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  16 in total

Review 1.  Phenotyping the pathophysiology of obstructive sleep apnea using polygraphy/polysomnography: a review of the literature.

Authors:  Marcello Bosi; Andrea De Vito; Bhik Kotecha; Luca Viglietta; Alberto Braghiroli; Joerg Steier; Martino Pengo; Giovanni Sorrenti; Riccardo Gobbi; Claudio Vicini; Venerino Poletti
Journal:  Sleep Breath       Date:  2018-01-09       Impact factor: 2.816

2.  Response to a combination of oxygen and a hypnotic as treatment for obstructive sleep apnoea is predicted by a patient's therapeutic CPAP requirement.

Authors:  Shane A Landry; Simon A Joosten; Scott A Sands; David P White; Atul Malhotra; Andrew Wellman; Garun S Hamilton; Bradley A Edwards
Journal:  Respirology       Date:  2017-04-13       Impact factor: 6.424

3.  New insights into the timing and potential mechanisms of respiratory-induced cortical arousals in obstructive sleep apnea.

Authors:  Jason Amatoury; Amy S Jordan; Barbara Toson; Chinh Nguyen; Andrew Wellman; Danny J Eckert
Journal:  Sleep       Date:  2018-11-01       Impact factor: 5.849

4.  Therapeutic Positive Airway Pressure Level Predicts Response to Hypoglossal Nerve Stimulation for Obstructive Sleep Apnea.

Authors:  Clara H Lee; Everett G Seay; Benjamin K Walters; Nicholas J Scalzitti; Raj C Dedhia
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

5.  A New Metric for Precision Medicine: PAP and Hypoglossal Neurostimulation.

Authors:  Ofer Jacobowitz; B Tucker Woodson
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

6.  Quantifying the Arousal Threshold Using Polysomnography in Obstructive Sleep Apnea.

Authors:  Scott A Sands; Philip I Terrill; Bradley A Edwards; Luigi Taranto Montemurro; Ali Azarbarzin; Melania Marques; Camila M de Melo; Stephen H Loring; James P Butler; David P White; Andrew Wellman
Journal:  Sleep       Date:  2018-01-01       Impact factor: 5.849

7.  Upper airway collapsibility in patients with OSA treated with continuous positive airway pressure: a retrospective preliminary study.

Authors:  Marcello Bosi; Serena Incerti Parenti; Andrea Fiordelli; Venerino Poletti; Giulio Alessandri-Bonetti
Journal:  J Clin Sleep Med       Date:  2020-11-15       Impact factor: 4.062

8.  Influence of apnea vs hypopnea predominance in predicting mean therapeutic positive airway pressures among patients with obstructive sleep apnea.

Authors:  Jason L Yu; Yifan Liu; Akshay Tangutur; Monique Arnold; Everett G Seay; Alan R Schwartz; Raj C Dedhia
Journal:  J Clin Sleep Med       Date:  2021-11-01       Impact factor: 4.062

9.  Awake Multimodal Phenotyping for Prediction of Oral Appliance Treatment Outcome.

Authors:  Kate Sutherland; Andrew S L Chan; Joachim Ngiam; Oyku Dalci; M Ali Darendeliler; Peter A Cistulli
Journal:  J Clin Sleep Med       Date:  2018-11-15       Impact factor: 4.062

10.  A Novel Model to Estimate Key Obstructive Sleep Apnea Endotypes from Standard Polysomnography and Clinical Data and Their Contribution to Obstructive Sleep Apnea Severity.

Authors:  Ritaban Dutta; Gary Delaney; Barbara Toson; Amy S Jordan; David P White; Andrew Wellman; Danny J Eckert
Journal:  Ann Am Thorac Soc       Date:  2021-04
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