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Implantable cardiac devices in sleep apnoea diagnosis: A systematic review and meta-analysis.

Authors :
Ben Messaoud R
Khouri C
Pépin JL
Cracowski JL
Tamisier R
Barbieri F
Heidbreder A
Joyeux-Faure M
Defaye P
Source :
International journal of cardiology [Int J Cardiol] 2022 Feb 01; Vol. 348, pp. 76-82. Date of Electronic Publication: 2021 Dec 11.
Publication Year :
2022

Abstract

Background: A particularly high burden of sleep apnoea is reported in patients treated with cardiac implants such as pacemakers and defibrillators. Sleep apnoea diagnosis remains a complex procedure mainly based on sleep and respiratory indices captured by polysomnography (PSG) or respiratory polygraphy (PG).<br />Aim: We aimed to evaluate the performance of implantable cardiac devices for sleep apnoea diagnosis compared to reference methods.<br />Method: Systematic structured literature searches were performed in PubMed, Embase and. Cochrane Library was performed to identify relevant studies. Quantitative characteristics of the studies were summarized and a qualitative synthesis was performed by a randomized bivariate meta-analysis and completed by pre-specified sensitivity analyses for different implant types and brands.<br />Results: 16 studies involving 999 patients met inclusion criteria and were included in the meta-analysis. The majority of patients were men, of mean age of 64 ± 4.6 years. Sensitivity of cardiac implants for sleep apnoea diagnosis ranged from 60 to 100%, specificity from 50 to 100% with a prevalence of sleep apnoea varying from 22 to 91%. For an apnoea-hypopnoea index threshold ≥30 events/h during polysomnography (corresponding to severe sleep apnoea), the overall performance of the implants was relevant with a sensitivity of 78% and a specificity of 79%. Subgroup analyses on implant type and brand provided no additional information owing to the small number of studies.<br />Conclusion: The respiratory disturbance index provided by cardiac implants is clinically relevant and might improve access to sleep apnoea diagnosis in at-risk cardiovascular populations. PROSPERO Registration number: CRD42020181656.<br /> (Copyright © 2021 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1874-1754
Volume :
348
Database :
MEDLINE
Journal :
International journal of cardiology
Publication Type :
Academic Journal
Accession number :
34906614
Full Text :
https://doi.org/10.1016/j.ijcard.2021.12.014