Literature DB >> 32771926

A clinic-based cluster analysis in patients with moderate-severe obstructive sleep apnea (OSA) in Chile.

Gonzalo Labarca1, Jorge Dreyse2, Constanza Salas2, Alexia Schmidt3, Francisca Rivera3, Francisca Letelier2, Jorge Jorquera2, Ferran Barbe4.   

Abstract

RATIONALE: Patients commonly report differences in either clinical or symptomatic profiles, despite having the same severity of obstructive sleep apnea (OSA).
OBJECTIVE: To identify clinical and symptomatic phenotypes and to evaluate cardiovascular mortality in each phenotype.
METHODS: Data from 1370 participants (788 with moderate-severe OSA and 582 controls as a reference group) were extracted using the SantOSA database. Sixteen variables were analyzed using latent class analysis to define clinical subtypes. The association between subtypes and cardiovascular mortality was evaluated using Kaplan-Meier survival analysis and the Cox proportional hazards model. Adjusted hazard ratios (HRs) with confidence intervals (CIs) were modified by cardiovascular confounders.
RESULTS: The median observation period was 5.2 years. We found four clusters: cluster #1: symptomatic men with major comorbidities (n = 252); cluster #2: symptomatic women with comorbidities (n = 154); cluster #3: asymptomatic men with comorbidities (n = 143); and cluster #4: symptomatic young men without major comorbidities (n = 239). In cluster #1, mortality was 4.76% and was independently associated with age (HR 1.12; CI 1.07-1.17), type 2 diabetes mellitus (HR 3.37; CI 1.29-8.78) and coronary heart disease (HR 3.85; CI 1.27-11.56); in cluster #2, mortality was 3.89% and was independently associated with age (HR 1.12; CI 1.06-1.19) and the oxygen desaturation index (ODI, HR 1.02; CI 1.01-1.04); and in cluster #3, mortality was 3.49% (HR 3.50; CI 1.03-11.90) and was independently associated with age (HR 1.19; CI 1.10-1.29). In cluster #4, mortality was 1.25% and showed nonsignificant associations.
CONCLUSION: In patients with moderate-severe OSA, we described four phenotypes of patients according to clinical features with different risks of cardiovascular mortality. STUDY REGISTER: ISRCTN62293645.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease; Clinical subtypes; Obstructive; Sleep apnea

Mesh:

Year:  2020        PMID: 32771926     DOI: 10.1016/j.sleep.2020.04.001

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  3 in total

1.  Comorbidity clusters in patients with moderate-to-severe OSA.

Authors:  Dries Testelmans; M A Spruit; B Vrijsen; M Sastry; C Belge; A Kalkanis; S Gaffron; E F M Wouters; B Buyse
Journal:  Sleep Breath       Date:  2021-05-03       Impact factor: 2.816

2.  Multidimensional assessment and cluster analysis for OSA phenotyping.

Authors:  Xiao Lei Zhang; Li Zhang; Yi Ming Li; Bo Yun Xiang; Teng Han; Yan Wang; Chen Wang
Journal:  J Clin Sleep Med       Date:  2022-07-01       Impact factor: 4.324

3.  Editorial: Systemic involvement in obstructive sleep apnea: Personalized medicine to improve health outcomes.

Authors:  Gonzalo Labarca; Manuel Sanchez-de-la Torre; Jorge Jorquera
Journal:  Front Med (Lausanne)       Date:  2022-08-16
  3 in total

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