Publication detail

Patients Compliance: Ten Years History Data Analysis

MEZINA, A. GENZOR, S. BURGET, R. MIZERA, J. MYŠKA, V. ŠTÝBNAR, M.

Original Title

Patients Compliance: Ten Years History Data Analysis

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Introduction: Continuous positive airway pressure (CPAP) remains to be the most effective therapy for obstructive sleep apnoea syndrome (OSAS). Long-term adherence is extremely important. The aim of this study was to assess ten-year adherence to CPAP and to define factors influencing it. Methods: All subjects involved were consecutive patients of Sleep Laboratory of Department of Respiratory Diseases, Olomouc. Anthropometric data, night sleep testing and detailed history have been completed. The data about CPAP adherence have been obtained through device memory. Subjects who completely refused the therapy have been assigned to the group A, and subjects with good CPAP adherence (with 4 or more hours use per night in average) were assigned to group B and followed-up for 10 years. Patients who died during the follow-up and those with CPAP usage less than 4 hours per night have been excluded. To analyse data, we used standard statistical tools and predictive machine learning tools. Statistical significance has been evaluated with alpha level 0.05. Results: Group A consisted of 106 individuals and group B of 166 subjects. Factors with impact on CPAP adherence were age, sleepiness, microsleep, fibrosis, smoking, AHI (apnea-hypopnea index) and mean night saturation. In total seven predictive machine learning algorithms have been examined together with its statistical evaluation. Several interesting frequent patterns were identified, e.g., people of age ≥68 and AHI ≥37.8 cm typically have good adherence. Conclusion: Good adherence to CPAP therapy in OSAS patients is essential. According to our results, higher age and OSAS severity predicts higher CPAP usage. Obesity, CAD and fibrosis predicts poor CPAP usage. Machine learging may help to found new predictors of CPAP adherence.

Keywords

Comorbidities and complications of sleep disordered breathing; Obstructive sleep apnoea; Other therapies and interventions;

Authors

MEZINA, A.; GENZOR, S.; BURGET, R.; MIZERA, J.; MYŠKA, V.; ŠTÝBNAR, M.

Released

20. 4. 2023

Publisher

European Respiratory Society

Location

Prague

ISBN

2312-0541

Periodical

ERJ Open Research

Year of study

9

Number

11

State

United Kingdom of Great Britain and Northern Ireland

Pages count

1

URL

https://openres.ersjournals.com/content/9/suppl_11/10.abstract

BibTex

@inproceedings{BUT184307,
  author="Anzhelika {Mezina} and Samuel {Genzor} and Radim {Burget} and Jan {Mizera} and Vojtěch {Myška} and Michal {Štýbnar}",
  title="Patients Compliance: Ten Years History Data Analysis",
  year="2023",
  journal="ERJ Open Research",
  volume="9",
  number="11",
  pages="1",
  publisher="European Respiratory Society",
  address="Prague",
  doi="10.1183/23120541.sleepandbreathing-2023.10",
  issn="2312-0541",
  url="https://openres.ersjournals.com/content/9/suppl_11/10.abstract"
}