Literature DB >> 10759455

Detection of inspiratory flow limitation during sleep by computer assisted respiratory inductive plethysmography.

V Kaplan1, J N Zhang, E W Russi, K E Bloch.   

Abstract

The potential of respiratory inductive plethysmography (RIP) to detect inspiratory flow limitation during sleep was investigated. Sixteen sleep apnoea patients underwent polysomnography. Airflow by a flowmeter attached to a nasal mask, oesophageal and mask pressure were recorded along with calibrated RIP. Presence of inspiratory flow limitation was defined by constant or decreasing flow without pressure dependence throughout significant portions of inspiration, its absence by a linear or mildly alinear pressure:airflow relationship. Based on this standard, three of various computerized RIP derived parameters, with highest performance to detect flow limitation, were identified. They were combined to an inspiratory flow limitation, (IFL)-Index(RIP), which was validated prospectively in another 10 sleep apnoea patients. RIP derived fractional inspiratory time, peak to mean inspiratory flow ratio, and ribcage contribution to tidal volume had the highest accuracy to detect flow limitation (area under the receiver operating characteristic (ROC) curves 0.81, 0.76, 0.76, respectively, 160 comparisons). Prospective validation revealed an area under the ROC curve for the IFL-Index(RIP) to detect flow limitation of 0.89 (95% confidence interval 0.85 to 0.93, 200 comparisons) with sensitivity and specificity at the point of equality of 80%. It is concluded that inspiratory flow limitation may be assessed by computer assisted analysis of respiratory inductive plethysmography derived breathing patterns with clinically acceptable accuracy.

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Year:  2000        PMID: 10759455     DOI: 10.1034/j.1399-3003.2000.15.24.x

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  20 in total

1.  Accuracy and consistency of respiratory inductive plethysmography for overnight tidal volume measurement.

Authors:  J Zhang; E W Ruch; K E Bloch
Journal:  J Tongji Med Univ       Date:  2001

2.  Comparison of Apnea Detection Using Oronasal Thermal Airflow Sensor, Nasal Pressure Transducer, Respiratory Inductance Plethysmography and Tracheal Sound Sensor.

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Journal:  J Clin Sleep Med       Date:  2019-02-15       Impact factor: 4.062

3.  Automatic breath-to-breath analysis of nocturnal polysomnographic recordings.

Authors:  P J van Houdt; P P W Ossenblok; M G van Erp; K E Schreuder; R J J Krijn; P A J M Boon; P J M Cluitmans
Journal:  Med Biol Eng Comput       Date:  2011-03-30       Impact factor: 2.602

4.  Validation of Respiratory Inductance Plethysmography for Measuring Tidal Volume in Swine.

Authors:  Zhenbo Su; Jun Oto; Jingwen Wang; William R Kimball; Christopher T Chenelle; Robert M Kacmarek; David R King; Yandong Jiang; Michael J Duggan
Journal:  Comp Med       Date:  2015-06       Impact factor: 0.982

5.  Evaluating Risk Factors for Pediatric Post-extubation Upper Airway Obstruction Using a Physiology-based Tool.

Authors:  Robinder G Khemani; Justin Hotz; Rica Morzov; Rutger Flink; Asavari Kamerkar; Patrick A Ross; Christopher J L Newth
Journal:  Am J Respir Crit Care Med       Date:  2016-01-15       Impact factor: 21.405

6.  Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine.

Authors:  Richard B Berry; Rohit Budhiraja; Daniel J Gottlieb; David Gozal; Conrad Iber; Vishesh K Kapur; Carole L Marcus; Reena Mehra; Sairam Parthasarathy; Stuart F Quan; Susan Redline; Kingman P Strohl; Sally L Davidson Ward; Michelle M Tangredi
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

7.  Pediatric upper airway obstruction: interobserver variability is the road to perdition.

Authors:  Robinder G Khemani; James B Schneider; Rica Morzov; Barry Markovitz; Christopher J L Newth
Journal:  J Crit Care       Date:  2013-01-18       Impact factor: 3.425

Review 8.  Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review.

Authors:  Diego Alvarez-Estevez; Vicente Moret-Bonillo
Journal:  Sleep Disord       Date:  2015-07-21

9.  Quantifying the magnitude of pharyngeal obstruction during sleep using airflow shape.

Authors:  Dwayne L Mann; Philip I Terrill; Ali Azarbarzin; Sara Mariani; Angelo Franciosini; Alessandra Camassa; Thomas Georgeson; Melania Marques; Luigi Taranto-Montemurro; Ludovico Messineo; Susan Redline; Andrew Wellman; Scott A Sands
Journal:  Eur Respir J       Date:  2019-07-04       Impact factor: 16.671

10.  Reference equations for tidal breathing parameters using structured light plethysmography.

Authors:  Shayan Motamedi-Fakhr; Richard Iles; Nicki Barker; John Alexander; Brendan G Cooper
Journal:  ERJ Open Res       Date:  2021-06-07
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