Document Detail


Feasibility of noninvasive single-channel automated differentiation of obstructive and central hypopneas with nasal airflow.
MedLine Citation:
PMID:  22987059     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: The identification of obstructive and central hypopneas is considered challenging in clinical practice. Presently, obstructive and central hypopneas are usually not differentiated or scores lack reliability due to the technical limitations of standard polysomnography. Esophageal pressure measurement is the gold-standard for identifying these events but its invasiveness deters its usage in daily practice.
OBJECTIVES: To determine the feasibility and efficacy of an automatic noninvasive analysis method for the differentiation of obstructive and central hypopneas based solely on a single-channel nasal airflow signal. The obtained results are compared with gold-standard esophageal pressure scores.
METHODS: A total of 41 patients underwent full night polysomnography with systematic esophageal pressure recording. Two experts in sleep medicine independently differentiated hypopneas with the gold-standard esophageal pressure signal. Features were automatically extracted from the nasal airflow signal of each annotated hypopnea to train and test the automatic analysis method. Interscorer agreement between automatic and visual scorers was measured with Cohen's kappa statistic (ĸ).
RESULTS: A total of 1,237 hypopneas were visually differentiated. The automatic analysis achieved an interscorer agreement of ĸ = 0.37 and an accuracy of 69% for scorer A, ĸ = 0.40 and 70% for scorer B and ĸ = 0.41 and 71% for the agreed scores of scorers A and B.
CONCLUSIONS: The promising results obtained in this pilot study demonstrate the feasibility of noninvasive single-channel hypopnea differentiation. Further development of this method may help improving initial diagnosis with home screening devices and offering a means of therapy selection and/or control.
Authors:
C Morgenstern; W J Randerath; M Schwaibold; A Bolz; R Jané
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Publication Detail:
Type:  Controlled Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-09-11
Journal Detail:
Title:  Respiration; international review of thoracic diseases     Volume:  85     ISSN:  1423-0356     ISO Abbreviation:  Respiration     Publication Date:  2013  
Date Detail:
Created Date:  2013-04-03     Completed Date:  2013-10-01     Revised Date:  2014-07-31    
Medline Journal Info:
Nlm Unique ID:  0137356     Medline TA:  Respiration     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  312-8     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 S. Karger AG, Basel.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Algorithms
Diagnosis, Computer-Assisted
Diagnosis, Differential
Female
Humans
Male
Middle Aged
Nasal Cavity
Pilot Projects
Polysomnography
Pulmonary Ventilation / physiology*
Reproducibility of Results
Sleep Apnea, Central / diagnosis*,  physiopathology*
Sleep Apnea, Obstructive / diagnosis*,  physiopathology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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