Performance of instruments aimed at detecting obstructive sleep apnea syndrome among individuals in Chile

Labarca, Gonzalo; Dreyse, Jorge; Salas, Constanza; Gaete, María Inés; Jorquera, Jorge

doi:10.1590/1806-3713/e20190015

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…O questionário foi avaliado de acordo com uma validação prévia na população do Chile. (7,8) Os sintomas relacionados ao sono (ronco, cansaço e apneia observada) foram registrados por autorrelato ou resposta do parceiro. A pressão arterial foi medida com esfigmomanômetro de mercúrio padrão no braço esquerdo após 10 min de repouso, de acordo com as diretrizes atuais da American Heart Association.…”

Section: Métodosunclassified

“…Dada a excelente sensibilidade, o questionário STOP-Bang tem sido proposto como ferramenta de triagem em diversos estudos epidemiológicos. (7,8) A combinação de AOS com outras comorbidades cardiovasculares significativas incluídas no questionário STOP-Bang sugere que esse poderia ajudar a identificar a população com maior risco de mortalidade em médio prazo, especialmente em pacientes hospitalizados. O objetivo do presente estudo foi avaliar a associação entre o risco de AOS medido pelo questionário STOP-Bang e o risco de mortalidade por todas as causas e mortalidade cardiovascular em pacientes hospitalizados.…”

Section: Introductionunclassified

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Association between cardiovascular mortality and STOP-Bang questionnaire scores in a cohort of hospitalized patients: a prospective study

Valdivia

Schmidt

et al. 2021

J Bras Pneumol.

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Objective: Obstructive sleep apnea (OSA) is associated with an increased risk of mortality and cardiometabolic diseases. The STOP-Bang questionnaire is a tool to screen populations at risk of OSA and prioritize complementary studies. Our objective was to evaluate the clinical utility of this questionnaire in identifying patients at an increased risk of mortality after discharge in a cohort of hospitalized patients. Methods: This was a prospective cohort study involving consecutive patients admitted to an internal medicine unit between May and June of 2017 who were reevaluated three years after discharge. At baseline, we collected data on comorbidities (hypertension, obesity, diabetes, and fasting lipid profile) and calculated STOP-Bang scores, defining the risk of OSA (0-2 score, no risk; = 3 score, risk of OSA; and = 5 score, risk of moderate-to-severe OSA), which determined the study groups. We also recorded data regarding all-cause and cardiovascular mortality at the end of the follow-up period. Results: The sample comprised 435 patients. Of those, 352 (80.9%) and 182 (41.8%) had STOP-Bang scores = 3 and = 5, respectively. When compared with the group with STOP-Bang scores of 0-2, the two groups showed higher prevalences of obesity, hypertension, diabetes, and dyslipidemia. Multivariate analysis showed an independent association between cardiovascular mortality and STOP-Bang score = 5 (adjusted hazard ratio = 3.12 [95% CI, 1.39-7.03]; p = 0.01). Additionally, previous coronary heart disease was also associated with cardiovascular mortality. Conclusions: In this cohort of hospitalized patients, STOP-Bang scores = 5 were able to identify patients at an increased risk of cardiovascular mortality three years after discharge.

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Section: Métodosunclassified

Section: Introductionunclassified

Association between cardiovascular mortality and STOP-Bang questionnaire scores in a cohort of hospitalized patients: a prospective study

Valdivia

Schmidt

et al. 2021

J Bras Pneumol.

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“…The following sleep-related questionnaires were completed by all participants: Epworth Sleepiness Scale (ESS), Insomnia by the International Severity index ( 29 ), and STOP-BANG questionnaire ( 30 ). A home sleep apnea test (HSAT) was performed using an Apnea Link Air (ResMed, Australia) in addition to a 7 days wrist actigraphy (condor Ins, Brazil), following the current recommendations and requirements of the American Academy of Sleep Medicine (AASM) for level III studies ( 31 ).…”

Section: Methodsmentioning

confidence: 99%

Impact of Obstructive Sleep Apnea (OSA) in COVID-19 Survivors, Symptoms Changes Between 4-Months and 1 Year After the COVID-19 Infection

et al. 2022

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ObjectiveTo determine the association between Obstructive Sleep Apnea (OSA) with long-term symptoms and inflammatory cytokines, exploring the changes between 4-months and 1-year after COVID-19 infection.MethodsWe conducted an observational, prospective cohort study, including patients ≥18 years old with confirmed diagnosis of COVID-19 between April to July 2020. All participants underwent two clinical follow-up visits, the first at 4-months (Visit 1) and the second at 1 year, after SARS-CoV-2 infection (Visit 2). Plasma glucose, total cholesterol, HDL, and triglycerides. Regarding pulmonary function, spirometry and lung diffusion capacity tests were assessed. For mental and neurocognitive evaluation, a short-form (SF-12), Beck depression and Hospital-Anxiety depression questionnaires were conducted at both time-points, whereas the Montreal Cognitive assessment was conducted during the second follow-up. Regarding to sleep evaluation, Epworth Sleepiness Scale, Insomnia Severity index and STOP-BANG questionnaire were conducted. Additionally, a home sleep apnea test and 7-day wrist actigraphy were performed in all participants. Inflammatory cytokines were measured using an inflammatory cytokine bead array kit. p-values < 0.05 were considered statistically significant and statistical analyses were performed using R software.ResultsA total of 60 patients were included in the first follow-up, from which 57 completed the second follow-up. The mean age was 46.4 years-old (SD ± 13.1) and 53.3% were male. 30% of cases reported mild COVID-19 infection, 28.3% with moderate illness, and 41.6% with severe illness. Moreover, 56.6% of them were admitted to the ICU. Regarding to metabolic values, the OSA group showed higher values of insulin resistance (IR) (27%), systolic blood pressure (SBP) 135.2 (±19.1), dyslipidemia (67.5%), total cholesterol 202.1 (±60.5), triglycerides 176.1 (±119.0) and HOMA-IR 9.0 (±18.8) in comparison with the non-OSA group. 1 year after COVID-19 infection, DLCO test remains abnormal in OSA patients (25% OSA vs. 3.6% non-OSA, p = 0.02). Finally, those participants with OSA who develop ARDS reported an adjusted OR 20.4 (95%-CI, 1.04–504) risk of neurocognitive impairment.DiscussionAmong patients with previous COVID-19, OSA impact the development of incident glycemic, neurocognitive impairment, and abnormal functional pulmonary changes that persist up to 1 year since acute phase.

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“…22 In addition, we collected data from the Spanish versions of the Epworth Sleepiness Scale (ESS). [23][24][25] To conduct the HSAT, we used a validated type-3 sleep test (using the Embletta Multi Parameter Recorder, Natus Medical, Inc., Middleton, WI, United States), including nasal pressure assessment (measuring airflow), thoracic and abdominal inductance plethysmography, body position assessment, audio assessment via a microphone, and pulse oximetry. The device presented rates of 92.4% of sensitivity and of 85.7% of specificity in quantifying AHI when compared to polysomnography (PSG) in patients with suspected OSA syndrome.…”

Section: Sleep Assessmentmentioning

confidence: 99%

Clinical Application of the Multicomponent Grading System for Sleep Apnea Classification and Incident Cardiovascular Mortality

Jorquera,

Dreyse,

Salas

et al. 2023

Sleep Sci

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Objective 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). Materials and Methods 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). Within-group comparisons were performed using analysis of variance (ANOVA) and post hoc tests. The associations between groups and incident cardiovascular mortality were determined through the Mantel-Cox and Cox proportional hazard ratios (HRs) adjusted by covariables. Results A total of 1,300 OSA patients were included (Baveno A: 27.7%; B: 28%; C: 16.8%; and D: 27.5%). The follow-up was of 5.4 years. Compared to Baveno A, the fully-adjusted risk of cardiovascular mortality with Baveno B presented an HR of 1.38 (95% confidence interval [95%CI]: 0.14–13.5; p = 0.78); with Baveno C, it was of 1.71 (95%CI: 0.18–16.2; p = 0.63); and, with Baveno D, of 1.04 (95%CI: 0.12–9.2; p = 0.98). We found no interactions involving Baveno group, sex and OSA severity. Discussion Among OSA patients, the Baveno classification can describe different subgroups. However, its utility in identifying incident cardiovascular mortality is unclear. Long-term follow-up studies and the inclusion of demographic variables in the classification could improve its ability to detect a high-risk phenotype associated with cardiovascular mortality. Conclusion The Baveno classification serves as a valuable method for categorizing varying groups of patients afflicted with OSA. Nevertheless, its precision in identifying occurrence of cardiovascular mortality is still unclear.

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Performance of instruments aimed at detecting obstructive sleep apnea syndrome among individuals in Chile

Cited by 11 publications

References 13 publications

Association between cardiovascular mortality and STOP-Bang questionnaire scores in a cohort of hospitalized patients: a prospective study

Association between cardiovascular mortality and STOP-Bang questionnaire scores in a cohort of hospitalized patients: a prospective study

Impact of Obstructive Sleep Apnea (OSA) in COVID-19 Survivors, Symptoms Changes Between 4-Months and 1 Year After the COVID-19 Infection

Clinical Application of the Multicomponent Grading System for Sleep Apnea Classification and Incident Cardiovascular Mortality

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