To evaluate the clinical utility of the Baveno classification in predicting incident cardiovascular mortality after five years of follow-up in a clinic-based cohort of patients with obstructive sleep apnea (OSA). We evaluated the reproducibility of the Baveno classification using data from the Santiago Obstructive Sleep Apnea (SantOSA) study. The groups were labeled Baveno A (minor symptoms and comorbidities), B (severe symptoms and minor comorbidities), C (minor symptoms and severe comorbidities), and D (severe symptoms and comorbidities).
View Article and Find Full Text PDFBackground: Previous studies reported a strong association between sleepiness-related symptoms and comorbidities with poor cardiovascular outcomes among patients with moderate to severe OSA (msOSA). However, the validation of these associations in the Hispanic population from South America and the ability to predict incident cardiovascular disease remain unclear.
Research Question: In Hispanic patients with msOSA, are four different cluster analyses reproducible and able to predict incident cardiovascular mortality?
Study Design And Methods: Using the SantOSA cohort, we reproduced four cluster analyses (Sleep Heart Health Study [SHHS], Icelandic Sleep Apnea Cohort [ISAC], Sleep Apnea Cardiovascular Endpoints [SAVE], and The Institute de Recherche en Sante Respiratoire des Pays de la Loire [IRSR] cohorts) following a cluster analysis similar to each training dataset.
Introduction: Patients with obstructive sleep apnea (OSA) and comorbid diabetes mellitus (DM) are reported to have an increased risk of cardiovascular (CV) outcomes; however, data on CV mortality are scant.
Aim: This study aimed to evaluate if patients with comorbid OSA and DM have an increased risk of CV mortality that is higher than the two diseases in isolation.
Methods: In this prospective cohort study, we included patients referred for a sleep study with and without DM at baseline.
Unlabelled: It is unclear if oximetric parameters, such as total time of SpO < 90%, (T90), oxygen desaturation index-3% (ODI), minimum SpO , are able to describe a high-risk subtype of cardiovascular (CV) comorbidities in patients with Obstructive sleep apnea (OSA) beyond the apnea-hypopnea index.
Objective: To analyzed oximetric variables in patients with moderate-severe OSA to assess their predictive value regarding as hypertension, type 2 diabetes mellitus (T2DM), coronary heart disease (CHD) and CV mortality.
Methods: Using data from SantOSA cohort, we develop receiver operating characteristic curve and area under the curve (AUC) for each parameter, defining the proposed cutoff point in a training set.
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.
Introduction: Patients with moderate to severe obstructive sleep apnea (OSA) have an increased risk of cardiovascular comorbidities and mortality. Although different subtypes of OSA have been described, data about oximetric parameters and their suitability to identify a different phenotype are scant. In this study, we evaluate the association between moderate to severe OSA and oximetric parameters included in the home sleep apnea test (HSAT) and the risks of all-cause mortality, cardiovascular mortality, and cancer mortality.
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