Literature DB >> 8049834

Predicting nasal continuous positive airway pressure.

V Hoffstein1, S Mateika.   

Abstract

We recently proposed an equation predicting the optimal level of continuous positive airway pressure (CPAP) that abolishes sleep apnea from three simple and easily available parameters: body mass index (BMI), neck circumference, and apnea/hypopnea index (AHI). The present study was designed to validate this equation in a prospective group of patients with sleep apnea returning to the sleep laboratory for CPAP titration study. We studied 26 patients and found that the optimal CPAP was equal to the predicted value in 10 of 26 patients, within +/- 1 cm H2O of the predicted value in another 10 of 26 patients, within +/- 2 cm H2O in four of 26 patients, and outside +/- 4 cm H2O in the remaining two patients. We conclude that (1) optimal CPAP can be predicted to within +/- 2 cm H2O from a few simple measurements, and (2) using predicted CPAP as a starting pressure for CPAP titration, it may be possible to optimize and/or shorten the titration study--a fact with significant implications for reducing the cost of "diagnosis-to-treatment" polysomnography.

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Year:  1994        PMID: 8049834     DOI: 10.1164/ajrccm.150.2.8049834

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  27 in total

1.  Effects of continuous positive airway pressure on upper airway inspiratory dynamics in awake patients with sleep-disordered breathing.

Authors:  E Vérin; T Similowski; F Sériès
Journal:  J Physiol       Date:  2003-01-01       Impact factor: 5.182

2.  Determination of new prediction formula for nasal continuous positive airway pressure in Turkish patients with obstructive sleep apnea syndrome.

Authors:  Ozen K Basoglu; Mehmet Sezai Tasbakan
Journal:  Sleep Breath       Date:  2011-11-12       Impact factor: 2.816

3.  Prediction formulas for nasal continuous positive airway pressure in patients with obstructive sleep apnea syndrome.

Authors:  Sophia E Schiza; Izolde Bouloukaki
Journal:  Sleep Breath       Date:  2011-11-09       Impact factor: 2.816

4.  Predictive equations for CPAP titration in OSAS patients.

Authors:  Donato Lacedonia; Roberto Sabato; Giovanna E Carpagnano; Pierluigi Carratù; Antonio Falcone; Felice Gadaleta; Onofrio Resta; Maria P Foschino Barbaro
Journal:  Sleep Breath       Date:  2011-01-06       Impact factor: 2.816

5.  Long-term continuous positive airway pressure therapy improves cardiac autonomic tone during sleep in patients with obstructive sleep apnea.

Authors:  Jose-Alberto Palma; Jorge Iriarte; Secundino Fernandez; Manuel Alegre; Miguel Valencia; Julio Artieda; Elena Urrestarazu
Journal:  Clin Auton Res       Date:  2015-05-23       Impact factor: 4.435

6.  CPAP pressure for prediction of oral appliance treatment response in obstructive sleep apnea.

Authors:  Kate Sutherland; Craig L Phillips; Amanda Davies; Vasanth K Srinivasan; Oyku Dalci; Brendon J Yee; M Ali Darendeliler; Ronald R Grunstein; Peter A Cistulli
Journal:  J Clin Sleep Med       Date:  2014-09-15       Impact factor: 4.062

7.  Comparison of three ways to determine and deliver pressure during nasal CPAP therapy for obstructive sleep apnoea.

Authors:  S D West; D R Jones; J R Stradling
Journal:  Thorax       Date:  2005-10-27       Impact factor: 9.139

8.  Utility of formulas predicting the optimal nasal continuous positive airway pressure in a Greek population.

Authors:  Sophia E Schiza; Izolde Bouloukaki; Charalampos Mermigkis; Panagiotis Panagou; Nikolaos Tzanakis; Violeta Moniaki; Eleni Tzortzaki; Nikolaos M Siafakas
Journal:  Sleep Breath       Date:  2010-04-28       Impact factor: 2.816

9.  Multinight recording and analysis of continuous positive airway pressure airflow in the home for titration and management of sleep disordered breathing.

Authors:  Cynthia Y Callahan; Robert G Norman; Zachary Taxin; Anne M Mooney; David M Rapoport; Indu Ayappa
Journal:  Sleep       Date:  2013-04-01       Impact factor: 5.849

10.  Agreement between 95th percentile pressure based on a 7-night auto-adjusting positive airway pressure trial vs. equation-based predictions in sleep apnea.

Authors:  Luis Torre-Bouscoulet; Armando Castorena-Maldonado; Elodia López-Escárcega; Juan Carlos Vázquez-García; Rogelio Pérez-Padilla
Journal:  J Clin Sleep Med       Date:  2009-08-15       Impact factor: 4.062

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