Pregled bibliografske jedinice broj: 1151048
Clusters of sleep apnoea phenotypes: A large pan-European study from the European Sleep Apnoea Database (ESADA)
Clusters of sleep apnoea phenotypes: A large pan-European study from the European Sleep Apnoea Database (ESADA) // Respirology, 26 (2021), 4; 378-387 doi:10.1111/resp.13969 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1151048 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Clusters of sleep apnoea phenotypes: A large
pan-European study from the European Sleep
Apnoea Database (ESADA)
Autori
Bailly, Sébastien Bailly ; Grote, Ludger ; Hedner, Jan ; ... ; Đogaš, Zoran ; ...et al.
Kolaboracija
ESADA Study Group
Izvornik
Respirology (1323-7799) 26
(2021), 4;
378-387
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
cluster analysis ; international database ; personalized medicine ; phenotypes ; sleep apnoea.
Sažetak
Background and objective: To personalize OSA management, several studies have attempted to better capture disease heterogeneity by clustering methods. The aim of this study was to conduct a cluster analysis of 23 000 OSA patients at diagnosis using the multinational ESADA. Methods: Data from 34 centres contributing to ESADA were used. An LCA was applied to identify OSA phenotypes in this European population representing broad geographical variations. Many variables, including symptoms, comorbidities and polysomnographic data, were included. Prescribed medications were classified according to the ATC classification and this information was used for comorbidity confirmation. Results: Eight clusters were identified. Four clusters were gender-based corresponding to 54% of patients, with two clusters consisting only of men and two clusters only of women. The remaining four clusters were mainly men with various combinations of age range, BMI, AHI and comorbidities. The preferred type of OSA treatment (PAP or mandibular advancement) varied between clusters. Conclusion: Eight distinct clinical OSA phenotypes were identified in a large pan- European database highlighting the importance of gender-based phenotypes and the impact of these subtypes on treatment prescription. The impact of cluster on long-term treatment adherence and prognosis remains to be studied using the ESADA follow-up data set.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Split,
Sveučilište u Splitu
Profili:
Zoran Đogaš
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE