| Full text | |
| Author(s): |
Tempaku, Priscila Farias
[1]
;
e Silva, Luciana Oliveira
[1]
;
Guimaraes, Thais Moura
[1]
;
Vidigal, Tatiana de Aguiar
[1]
;
D'Almeida, Vania
[1]
;
Andersen, Monica Levy
[1]
;
Bittencourt, Lia
[1]
;
Tufik, Sergio
[1]
Total Authors: 8
|
| Affiliation: | [1] Univ Fed Sao Paulo, Dept Psicobiol, Rua Napoleao de Barros 925, BR-04024002 Sao Paulo, SP - Brazil
Total Affiliations: 1
|
| Document type: | Journal article |
| Source: | Sleep and Breathing; JAN 2022. |
| Web of Science Citations: | 0 |
| Abstract | |
Purpose The identification of subgroups of obstructive sleep apnea (OSA) is critical to understand disease outcome and treatment response and ultimately develop optimal care strategies customized for each subgroup. In this sense, we aimed to perform a cluster analysis to identify subgroups of individuals with OSA based on clinical parameters in the Epidemiological Sleep Study of Sao Paulo city (EPISONO). We aimed to analyze whether or not subgroups remain after 8 years, since there is not any evidence showing if these subtypes of clinical presentation of OSA in the same population can change overtime. Methods We used data derived from EPISONO cohort, which was followed over 8 years after baseline evaluation. All individuals underwent polysomnography, answered questionnaires, and had their blood collected for biochemical examinations. OSA was defined according to AHI >= 15 events/h. Cluster analysis was performed using latent class analysis (LCA). Results Of the 1042 individuals in the EPISONO cohort, 68% agreed to participate in the follow-up study (n = 712), and 704 were included in the analysis. We were able to replicate the OSA 3-cluster solution observed in previous studies: disturbed sleep, minimally symptomatic and excessively sleepy in both baseline (36%, 45% and 19%, respectively) and follow-up studies (42%, 43%, and 15%, respectively). The optimal cluster solution for our sample based on Bayesian information criterion (BIC) was 2 cluster for baseline (disturbed sleep and excessively sleepy) and 3 clusters for follow-up (disturbed sleep, minimally symptomatic, and excessively sleepy). A total of 45% of the participants migrated clusters between the two evaluations (and the factor associated with this was a greater delta-AHI (B = - 0.033, df = 1, p = 0.003). Conclusions The results replicate and confirm previously identified clinical clusters in OSA which remain in the longitudinal analysis, with some percentage of migration between clusters. (AU) | |
| FAPESP's process: | 18/00955-4 - Study of the effect of obstructive sleep apnea on the telomere length and its associated mechanisms |
| Grantee: | Priscila Farias Tempaku |
| Support Opportunities: | Scholarships in Brazil - Doctorate |