Literature DB >> 33451313

Mask side-effects in long-term CPAP-patients impact adherence and sleepiness: the InterfaceVent real-life study.

Marie-Caroline Rotty1,2, Carey M Suehs3,4, Jean-Pierre Mallet2,3, Christian Martinez2, Jean-Christian Borel5, Claudio Rabec6, Fanny Bertelli1,2, Arnaud Bourdin2,3,7, Nicolas Molinari1,3, Dany Jaffuel8,9,10,11.   

Abstract

BACKGROUND: For some patients, Continuous Positive Airway Pressure (CPAP) remains an uncomfortable therapy despite the constant development of technological innovations. To date, no real life study has investigated the relationship between mask related side-effects (MRSEs) and CPAP-non-adherence (defined as < 4 h/day) or residual-excessive-sleepiness (RES, Epworth-Sleepiness-Scale (ESS) score ≥ 11) in the long-term.
METHODS: The InterfaceVent-CPAP study is a prospective real-life cross-sectional study conducted in an apneic adult cohort undergoing at least 3 months of CPAP with unrestricted mask-access (34 different masks). MRSEs were evaluated using visual-analogue-scales, CPAP-data using CPAP-software, sleepiness using ESS.
RESULTS: 1484 patients were included in the analysis (72.2% male, median age 67 years (IQ25-75: 60-74), initial Apnea-Hypopnea-Index (AHI) of 39 (31-56)/h, residual AHIflow was 1.9 (0.9-4) events/h), CPAP-treatment lasted 4.4 (2.0-9.7) years, CPAP-usage was 6.8 (5.5-7.8) h/day, the prevalence of CPAP-non-adherence was 8.6%, and the prevalence of RES was 16.17%. Leak-related side-effects were the most prevalent side-effects (patient-reported leaks concerned 75.4% of responders and had no correlation with CPAP-reported-leaks). Multivariable logistic regression analyses evaluating explanatory-variable (demographic data, device/mask data and MRSEs) effects on variables-of-interest (CPAP-non-adherence and RES), indicated for patient-MRSEs significant associations between: (i) CPAP-non-adherence and dry-mouth (p = 0.004); (ii) RES and patient-reported leaks (p = 0.007), noisy mask (p < 0.001), dry nose (p < 0.001) and harness pain (p = 0.043).
CONCLUSION: In long-term CPAP-treated patients, leak-related side-effects remain the most prevalent side-effects, but patient-reported leaks cannot be predicted by CPAP-reported-leaks. Patient-MRSEs can be independently associated with CPAP-non-adherence and RES, thus implying a complementary role for MRSE questionnaires alongside CPAP-device-reported-data for patient monitoring. Trial registration InterfaceVent is registered with ClinicalTrials.gov (NCT03013283).

Entities:  

Keywords:  Leaks; Side-effects; Sleep apnea; Telemedicine

Mesh:

Year:  2021        PMID: 33451313      PMCID: PMC7809735          DOI: 10.1186/s12931-021-01618-x

Source DB:  PubMed          Journal:  Respir Res        ISSN: 1465-9921


  33 in total

Review 1.  Improving CPAP use by patients with the sleep apnoea/hypopnoea syndrome (SAHS).

Authors:  Heather M Engleman; Matt R Wild
Journal:  Sleep Med Rev       Date:  2003-02       Impact factor: 11.609

Review 2.  Factors that influence CPAP adherence: an overview.

Authors:  Gilla K Shapiro; Colin M Shapiro
Journal:  Sleep Breath       Date:  2010-07-27       Impact factor: 2.816

3.  A French survey of 3,225 patients treated with CPAP for obstructive sleep apnoea: benefits, tolerance, compliance and quality of life.

Authors:  N Meslier; T Lebrun; V Grillier-Lanoir; N Rolland; C Henderick; J C Sailly; J L Racineux
Journal:  Eur Respir J       Date:  1998-07       Impact factor: 16.671

4.  Telematic Multi-physician Decision-making for Improving CPAP Prescription in Sleep Apnoea.

Authors:  Ramon Farré; Daniel Navajas; David Gozal; Josep M Montserrat
Journal:  Arch Bronconeumol (Engl Ed)       Date:  2019-05-18       Impact factor: 4.872

5.  Telemedicine in Sleep Apnea: A Simple Approach for Nasal Pressure (CPAP) Treatment.

Authors:  Onintza Garmendia; Monique C Suarez-Giron; Marta Torres; Josep M Montserrat
Journal:  Arch Bronconeumol (Engl Ed)       Date:  2018-03-09       Impact factor: 4.872

6.  CPAP interface: satisfaction and side effects.

Authors:  Adel Bachour; Pirjo Vitikainen; Paula Virkkula; Paula Maasilta
Journal:  Sleep Breath       Date:  2012-07-05       Impact factor: 2.816

7.  Predictors of long-term compliance with continuous positive airway pressure.

Authors:  Malcolm Kohler; Debbie Smith; Victoria Tippett; John R Stradling
Journal:  Thorax       Date:  2010-09       Impact factor: 9.139

8.  Predictors of long-term adherence to continuous positive airway pressure in patients with obstructive sleep apnea and cardiovascular disease.

Authors:  Emer Van Ryswyk; Craig S Anderson; Nicholas A Antic; Ferran Barbe; Lia Bittencourt; Ruth Freed; Emma Heeley; Zhihong Liu; Kelly A Loffler; Geraldo Lorenzi-Filho; Yuanming Luo; Maria J Masdeu Margalef; R Doug McEvoy; Olga Mediano; Sutapa Mukherjee; Qiong Ou; Richard Woodman; Xilong Zhang; Ching Li Chai-Coetzer
Journal:  Sleep       Date:  2019-10-09       Impact factor: 5.849

9.  Long-term adherence to continuous positive airway pressure therapy in non-sleepy sleep apnea patients.

Authors:  Francisco Campos-Rodriguez; Montserrat Martinez-Alonso; Manuel Sanchez-de-la-Torre; Ferran Barbe
Journal:  Sleep Med       Date:  2015-10-20       Impact factor: 3.492

10.  Compliance and side effects in sleep apnea patients treated with nasal continuous positive airway pressure.

Authors:  G Nino-Murcia; C C McCann; D L Bliwise; C Guilleminault; W C Dement
Journal:  West J Med       Date:  1989-02
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  4 in total

Review 1.  Nasal pillow vs. standard nasal mask for treatment of OSA: a systematic review and meta-analysis.

Authors:  Bo Deng; Fei Lai; Manman Zhang; Chenyili Xiong; Feng Chen; Heng Zhang; Yuanyuan Ma; Daiying Zhou
Journal:  Sleep Breath       Date:  2022-10-10       Impact factor: 2.655

2.  Pilot Study of a New Mandibular Advancement Device.

Authors:  Marzia Segù; Giovanna Campagnoli; Marco Di Blasio; Antonio Santagostini; Matteo Pollis; Luca Levrini
Journal:  Dent J (Basel)       Date:  2022-06-06

3.  Apnoea-hypopnoea indices determined via continuous positive airway pressure (AHI-CPAPflow) versus those determined by polysomnography (AHI-PSGgold): a protocol for a systematic review and meta-analysis.

Authors:  Fanny Bertelli; Carey Meredith Suehs; Jean Pierre Mallet; Marie Caroline Rotty; Jean Louis Pepin; Frédéric Gagnadoux; Eric Matzner-Lober; A Bourdin; Nicolas Molinari; Dany Jaffuel
Journal:  BMJ Open       Date:  2021-05-10       Impact factor: 2.692

4.  Analysis of risk factors for air leakage in auto-titrating positive airway pressure users: a single-center study.

Authors:  Yun Jin Kang; Jin-Hee Cho; Chan-Soon Park
Journal:  J Clin Sleep Med       Date:  2022-01-01       Impact factor: 4.062

  4 in total

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