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Atrial fibrillation-specific refinement of the STOP-Bang sleep apnoea screening questionnaire: Insights from the Virtual-SAFARI study

FUNDING ACKNOWLEDGEMENTS: Type of funding sources: None. PURPOSE: Sleep-disordered breathing (SDB) is prevalent in up to 50% of patients undergoing atrial fibrillation (AF) ablation. Currently, it remains unclear whether all AF patients should be systematically screened for SDB, or whether pre-selec...

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Detalles Bibliográficos
Autores principales: Verhaert, D V M, Betz, K, Gawalko, M, Hermans, A N L, Habibi, Z, Pluymaekers, N A H A, Van Der Velden, R, Hereijgers, M J M, Simons, S O, Westra, S W, Lankveld, T A R, Schotten, U, Vernooy, K, Hendriks, J M, Linz, D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207343/
http://dx.doi.org/10.1093/europace/euad122.672
Descripción
Sumario:FUNDING ACKNOWLEDGEMENTS: Type of funding sources: None. PURPOSE: Sleep-disordered breathing (SDB) is prevalent in up to 50% of patients undergoing atrial fibrillation (AF) ablation. Currently, it remains unclear whether all AF patients should be systematically screened for SDB, or whether pre-selection of patients requiring screening can be improved. We aimed 1) to assess the accuracy of the STOP-Bang screening questionnaire as a tool for detecting SDB in patients scheduled for AF ablation; and 2) to develop a refined, AF-specific version of the STOP-Bang to improve pre-selection. METHODS: Consecutive patients scheduled for AF ablation without a previous history of SDB and/or SDB screening were included. Patients were digitally referred to the previously described Virtual-SAFARI SDB screening and management pathway1 including a home sleep test using polygraphy. An apnoea-hypopnoea-index (AHI) of ≥15 was interpreted as moderate-to-severe SDB. The accuracy of the STOP-Bang questionnaire (Snoring, Tiredness, Observed apneas, blood Pressure, BMI ≥35 kg/m², Age, Neck circumference, and Gender) was evaluated. Logistic regression was used to assess characteristics within and outside the STOP-Bang questionnaire associated with moderate-to-severe SDB. These characteristics were used to refine the STOP-Bang specifically for AF patients. RESULTS: Of 206 included patients, 51% was diagnosed with moderate-to-severe SDB. The STOP-Bang questionnaire performed poorly in detecting SDB, with an area under the receiver operating characteristic curve (AUROC) of 0.647 (0.573-0.721). AF-specific refinement of the STOP-BANG resulted in the BOSS-GAP score. Therein, tiredness and neck circumference were removed, while body mass index with cut-off point ≥27 kg/m² and previous stroke or transient ischaemic attack were added. The BOSS-GAP questionnaire performed better with an AUROC of 0.738 (0.672-0.805) in the overall population. CONCLUSION: The STOP-Bang questionnaire showed limited value when used as a pre-selection tool for SDB screening. The refined, AF-specific BOSS-GAP questionnaire demonstrated slightly improved, but still limited accuracy in identifying AF patients with SDB. Whether questionnaires bring an advantage in pre-selection for SDB screening compared to structural screening in patients with AF, requires further study. [Figure: see text] [Figure: see text]