Literature DB >> 10767240

Predicting effective continuous positive airway pressure.

Z Oliver1, V Hoffstein.   

Abstract

PURPOSE: The purpose of this study was to compare the pressure required to abolish apneas as predicted from a previously derived algorithm (Ppred) with the true effective pressure (Peff) determined during a continuous positive airway pressure (CPAP) titration study.
SETTING: Sleep clinic of a university hospital.
METHODS: We prospectively studied 329 patients with sleep apnea undergoing CPAP titration. The following protocol was employed. Titration began at a pressure (Ppred) calculated from a previously derived equation based on body mass index, neck circumference, and apnea/hypopnea index (AHI). If AHI at Ppred was > 10, the pressure was increased in steps of 1 cm H(2)O until AHI became < 10. If, on the other hand, AHI at Ppred was < 10, the pressure was reduced in increments of 1 cm H(2)O until AHI became > 10. The lowest pressure that abolishes sleep apnea is defined as the Peff. Paired t tests, linear correlation, and distribution of (Ppred - Peff) were used to compare Peff and Ppred.
RESULTS: Successful titration was accomplished in 276 patients (84%). Mean Ppred was similar to mean Peff (8.1 +/- 2.2 vs 8.1 +/- 2.6 cm H(2)O, respectively). There was a significant correlation between these two pressures (r = 0.73; p = 0.0001). Examination of the distribution of (Peff - Ppred) revealed that in 63% of patients, Ppred was within +/- 1 cm H(2)O of Peff; in 83% of patients, the two measures were within +/- 2 cm H(2)O; and in 95%, within +/- 3 cm H(2)O.
CONCLUSION: We conclude that pressure predicted from an algorithm based on simple anthropometric and sleep variables constitutes a good starting point for CPAP titration, allowing the optimum pressure to be achieved with only a few incremental changes.

Entities:  

Mesh:

Year:  2000        PMID: 10767240     DOI: 10.1378/chest.117.4.1061

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  15 in total

1.  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

2.  [Therapy for sleep-related breathing disorders using positive airway pressure. Data from an HNO sleep laboratory].

Authors:  N Stasche; B Lüer-Groel; H Schmidt; M Bärmann
Journal:  HNO       Date:  2006-01       Impact factor: 1.284

Review 3.  Continuous positive airway pressure treatment for sleep apnea in older adults.

Authors:  Terri E Weaver; Eileen R Chasens
Journal:  Sleep Med Rev       Date:  2007-02-01       Impact factor: 11.609

4.  A new predictive model for continuous positive airway pressure in the treatment of obstructive sleep apnea.

Authors:  Matthew R Ebben; Mariya Narizhnaya; Ana C Krieger
Journal:  Sleep Breath       Date:  2016-11-22       Impact factor: 2.816

5.  Is automatic CPAP titration as effective as manual CPAP titration in OSAHS patients? A meta-analysis.

Authors:  Weijie Gao; Yinghui Jin; Yan Wang; Mei Sun; Baoyuan Chen; Ning Zhou; Yuan Deng
Journal:  Sleep Breath       Date:  2011-02-24       Impact factor: 2.816

6.  The use of a predicted CPAP equation improves CPAP titration success.

Authors:  James A Rowley; Abdul G S Tarbichi; M Safwan Badr
Journal:  Sleep Breath       Date:  2005-03       Impact factor: 2.816

Review 7.  Prediction of continuous positive airway pressure in obstructive sleep apnea.

Authors:  José S Loredo; Charles Berry; Richard A Nelesen; Joel E Dimsdale
Journal:  Sleep Breath       Date:  2007-03       Impact factor: 2.816

8.  An empirical continuous positive airway pressure trial for suspected obstructive sleep apnea.

Authors:  Robert P Skomro; David J Cotton; John A Gjevre; Vaneeta K Grover; Brian D McNab; John K Reid; Heather A Ward
Journal:  Can Respir J       Date:  2007-04       Impact factor: 2.409

9.  Clinical guidelines for the manual titration of positive airway pressure in patients with obstructive sleep apnea.

Authors:  Clete A Kushida; Alejandro Chediak; Richard B Berry; Lee K Brown; David Gozal; Conrad Iber; Sairam Parthasarathy; Stuart F Quan; James A Rowley
Journal:  J Clin Sleep Med       Date:  2008-04-15       Impact factor: 4.062

10.  Predicting optimal CPAP by neural network reduces titration failure: a randomized study.

Authors:  Ali El Solh; Morohunfolu Akinnusi; Anil Patel; Abid Bhat; Rachel TenBrock
Journal:  Sleep Breath       Date:  2009-03-04       Impact factor: 2.816

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.