Literature DB >> 28665698

An Official American Thoracic Society Workshop Report: Noninvasive Identification of Inspiratory Flow Limitation in Sleep Studies.

Sushmita Pamidi, Susan Redline, David Rapoport, Indu Ayappa, Luciana Palombini, Ramon Farre, Jason Kirkness, Jean-Louis Pépin, Olli Polo, Andrew Wellman, R John Kimoff.   

Abstract

This report summarizes the proceedings of the American Thoracic Society Workshop on the Noninvasive Identification of Inspiratory Flow Limitation in Sleep Studies held on May 16, 2015, in Denver, Colorado. The goal of the workshop was to discuss methods for standardizing the scoring of flow limitation from nasal cannula pressure tracings. The workshop began with presentations on the physiology underlying flow limitation, existing methods of scoring flow limitation, the effects of signal acquisition and filtering on flow shapes, and a review of the literature examining the adverse outcomes related to flow limitation. After these presentations, the results from online scoring exercises, which were crowdsourced to workshop participants in advance of the workshop, were reviewed and discussed. Break-out sessions were then held to discuss potential algorithms for scoring flow limitation. Based on these discussions, subsequent online scoring exercises, and webinars after the workshop, a consensus-based set of recommendations for a scoring algorithm for flow limitation was developed. Key conclusions from the workshop were: (1) a standardized and automated approach to scoring flow limitation is needed to provide a metric of nonepisodic elevated upper airway resistance, which can then be related to clinical outcomes in large cohorts and patient groups; (2) at this time, the most feasible method for standardization is by proposing a consensus-based framework, which includes scoring rules, developed by experts (3) hardware and software settings of acquisition devices, including filter settings, affect the shape of the flow curve, and should be clearly specified; and (4) a priority for future research is the generation of an open-source, expert-derived training set to encourage and support validation of automated flow limitation scoring algorithms.

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Year:  2017        PMID: 28665698      PMCID: PMC5566295          DOI: 10.1513/AnnalsATS.201704-318WS

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  56 in total

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Authors:  Luciana O Palombini; Sergio Tufik; David M Rapoport; Indu A Ayappa; Christian Guilleminault; Luciana B M de Godoy; Laura S Castro; Lia Bittencourt
Journal:  Sleep       Date:  2013-11-01       Impact factor: 5.849

5.  The classical Starling resistor model often does not predict inspiratory airflow patterns in the human upper airway.

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  10 in total

1.  Flow limitation/obstruction with recovery breath (FLOW) event for improved scoring of mild obstructive sleep apnea without electroencephalography.

Authors:  Karin Gardner Johnson; Douglas Clark Johnson; Robert Joseph Thomas; Edward Feldmann; Peter K Lindenauer; Paul Visintainer; Meir H Kryger
Journal:  Sleep Med       Date:  2018-11-30       Impact factor: 3.492

2.  Pulse transit time in pregnancy: a new way to diagnose and classify sleep disordered breathing?

Authors:  Brittany N Link; Celine Eid; Maggie H Bublitz; Martino F Pengo; Myriam Salameh; Karin S Ludwig; Richard P Millman; Lance Dworkin; Ghada Bourjeily
Journal:  Sleep       Date:  2019-05-01       Impact factor: 5.849

3.  Retropalatal and retroglossal airway compliance in patients with obstructive sleep apnea.

Authors:  Melania Marques; Pedro R Genta; Ali Azarbarzin; Scott A Sands; Luigi Taranto-Montemurro; Ludovico Messineo; David P White; Andrew Wellman
Journal:  Respir Physiol Neurobiol       Date:  2018-06-18       Impact factor: 1.931

4.  Quantification of airway conductance from noninvasive ventilatory drive in patients with sleep apnea.

Authors:  Thomas M Tolbert; Ankit Parekh; Scott A Sands; Anne M Mooney; Indu Ayappa; David M Rapoport
Journal:  J Appl Physiol (1985)       Date:  2021-09-09

5.  Correlates and consequences of central sleep apnea in a national sample of US veterans.

Authors:  David Ratz; Wyndy Wiitala; M Safwan Badr; Jennifer Burns; Susmita Chowdhuri
Journal:  Sleep       Date:  2018-09-01       Impact factor: 5.849

6.  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

7.  Altered K-complex morphology during sustained inspiratory airflow limitation is associated with next-day lapses in vigilance in obstructive sleep apnea.

Authors:  Ankit Parekh; Korey Kam; Anna E Mullins; Bresne Castillo; Asem Berkalieva; Madhu Mazumdar; Andrew W Varga; Danny J Eckert; David M Rapoport; Indu Ayappa
Journal:  Sleep       Date:  2021-07-09       Impact factor: 5.849

8.  Airflow limitation in a collapsible model of the human pharynx: physical mechanisms studied with fluid-structure interaction simulations and experiments.

Authors:  Trung B Le; Masoud G Moghaddam; B Tucker Woodson; Guilherme J M Garcia
Journal:  Physiol Rep       Date:  2019-05

9.  Mandibular Movements are a Reliable Noninvasive Alternative to Esophageal Pressure for Measuring Respiratory Effort in Patients with Sleep Apnea Syndrome.

Authors:  Jean-Louis Pepin; Nhat-Nam Le-Dong; Valérie Cuthbert; Nathalie Coumans; Renaud Tamisier; Atul Malhotra; Jean-Benoit Martinot
Journal:  Nat Sci Sleep       Date:  2022-04-13

10.  Frequency of flow limitation using airflow shape.

Authors:  Dwayne L Mann; Thomas Georgeson; Shane A Landry; Bradley A Edwards; Ali Azarbarzin; Daniel Vena; Lauren B Hess; Andrew Wellman; Susan Redline; Scott A Sands; Philip I Terrill
Journal:  Sleep       Date:  2021-12-10       Impact factor: 6.313

  10 in total

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