Sleep apnea: Clinical investigations in humans

Banno, Katsuhisa; Kryger, Meir H.

doi:10.1016/j.sleep.2007.03.003

Cited by 188 publications

(136 citation statements)

References 262 publications

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“…In middle-aged adults, obesity is the major risk factor for sleep apnea. (5,26) We found that sleep apnea was associated with hypertension and diabetes but not with other comorbidities or lifestyle. A populationbased case-control study in which patients with sleep apnea were matched to controls for age, gender, zip code, and physician they had seen in the last 2 years revealed that treatment for cardiovascular diseases in general was more common among the patients with sleep apnea, as was treatment for arterial hypertension, congestive heart failure, cardiac arrhythmia, and chronic obstructive airway disease.…”

Section: Discussionmentioning

confidence: 82%

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

et al. 2011

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Objective: To test a prediction model for sleep apnea based on clinical and sociodemographic variables in a population suspected of having sleep disorders and submitted to polysomnography. Methods: We included 323 consecutive patients submitted to polysomnography because of the clinical suspicion of having sleep disorders. We used a questionnaire with sociodemographic questions and the Epworth sleepiness scale. Blood pressure, weight, height, and SpO 2 were measured. Multiple linear regression was used in order to create a prediction model for sleep apnea, the apnea-hypopnea index (AHI) being the dependent variable. Multinomial logistic regression was used in order to identify factors independently associated with the severity of apnea (mild, moderate, or severe) in comparison with the absence of apnea. Results: The prevalence of sleep apnea in the study population was 71.2%. Sleep apnea was more prevalent in men than in women (81.2% vs. 56.8%; p < 0.001). The multiple linear regression model, using log AHI as the dependent variable, was composed of the following independent variables: neck circumference, witnessed apnea, age, BMI, and allergic rhinitis. The best-fit linear regression model explained 39% of the AHI variation. In the multinomial logistic regression, mild apnea was associated with BMI and neck circumference, whereas severe apnea was associated with age, BMI, neck circumference, and witnessed apnea. Conclusions: Although the use of clinical prediction models for sleep apnea does not replace polysomnography as a tool for its diagnosis, they can optimize the process of deciding when polysomnography is indicated and increase the chance of obtaining positive polysomnography findings.Keywords: Sleep apnea syndromes; Polysomnography; Sleep apnea, obstructive; Body mass index. ResumoObjetivo: Testar um modelo de predição para apneia do sono a partir de variáveis sociodemográficas e clínicas em uma população com suspeita de distúrbio do sono e submetida à polissonografia. Métodos: Foram incluídos no estudo 323 pacientes consecutivos submetidos à polissonografia por suspeita clínica de distúrbio do sono. Utilizou-se um questionário com questões sociodemográficas e a escala de sonolência de Epworth. Foram medidos pressão arterial, peso, altura e SpO 2 . A regressão linear múltipla, tendo o índice de apneia-hipopneia (IAH) como variável dependente, foi utilizada para construir um modelo de predição de apneia do sono. A regressão logística multinomial foi realizada para verificar fatores associados de forma independente à gravidade da apneia (leve, moderada ou grave) em comparação à ausência de apneia. Resultados: A prevalência de apneia do sono na população de estudo foi de 71,2%, e foi mais prevalente nos homens que nas mulheres (81,2% vs. 56,8%; p < 0,001). O modelo de regressão linear múltipla, com o log IAH como variável dependente, foi composto pelas seguintes variáveis independentes: circunferência do pescoço, apneia testemunhada, idade, IMC e presença de rinite alérgica. O melhor modelo de reg...

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Section: Discussionmentioning

confidence: 82%

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

et al. 2011

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“…Therefore it is of clinical relevance to measure complex higher order cognitive functions with techniques which are sensitive to subtle deficits [25]. This could also be the case of some sleep disorders causing mild cognitive deficits which are demonstrated to benefit from some treatments, such as modafinil for narcolepsy [26] and continuous positive airway pressure for obstructive sleep apnoea syndrome [27]. The N100, the MMN and the P3a components which are elicited in passive task conditions can be used also with patients who are not able to fully cooperate because of their motor or cognitive-behavioral impairment [6].…”

Section: Discussionmentioning

confidence: 99%

Stability of Auditory Discrimination and Novelty Processing in Physiological Aging

Raggi

Tasca

Rundo

et al. 2013

Behavioural Neurology

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Abstract. Complex higher-order cognitive functions and their possible changes with aging are mandatory objectives of cognitive neuroscience. Event-related potentials (ERPs) allow investigators to probe the earliest stages of information processing. N100, Mismatch negativity (MMN) and P3a are auditory ERP components that reflect automatic sensory discrimination. The aim of the present study was to determine if N100, MMN and P3a parameters are stable in healthy aged subjects, compared to those of normal young adults. Normal young adults and older participants were assessed using standardized cognitive functional instruments and their ERPs were obtained with an auditory stimulation at two different interstimulus intervals, during a passive paradigm. All individuals were within the normal range on cognitive tests. No significant differences were found for any ERP parameters obtained from the two age groups. This study shows that aging is characterized by a stability of the auditory discrimination and novelty processing. This is important for the arrangement of normative for the detection of subtle preclinical changes due to abnormal brain aging.

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“…The disturbed breathing might lead to fragmented sleep, in turn causing nocturnal [2] as well as daytime [3] symptoms. The prevalence of OSA is estimated to lie between 3% and 28%, the large variance explained by differences in diagnostic approaches and definitions of OSA [4] and [5].…”

Section: Introductionmentioning

confidence: 99%

Perceived informational needs, side-effects and their consequences on adherence—A comparison between CPAP treated patients with OSAS and healthcare personnel

Broström

Strömberg

Ulander

et al. 2009

Patient Education and Counseling

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ObjectiveTo compare perceptions among continuous positive airway pressure (CPAP) treated patients with obstructive sleep apnoea syndrome (OSAS) and healthcare personnel with regard to informational needs, side-effects and their consequences on adherence. MethodsA cross-sectional descriptive design was used including 350 CPAP treated OSAS patients from three Swedish hospitals and 105 healthcare personnel from 26 Swedish hospitals. Data collection was performed using two questionnaires covering informational needs, side-effects and adherence to CPAP. ResultsBoth groups perceived all surveyed informational areas as very important. Patients perceived the possibilities to learn as significantly greater in all areas (p < 0.001) compared to healthcare personnel, and scored significantly higher regarding positive effects on adherence of information about pathophysiology (p < 0.05), self-care (p < 0.001) and troubleshooting (p < 0.01). A total of 11 out of 15 surveyed side-effects were perceived to be more frequent by healthcare personnel (p < 0.01-p < 0.001). They also scored all side-effects to cause greater problems and decrease the CPAP use to a greater extent (p < 0.001). ConclusionKnowledge about these differences between patients and healthcare personnel regarding educational needs, side-effects and their effects on adherence can be important when designing educational programmes to increase CPAP adherence. Practice implicationsMeasurement of these parameters before, during and after educational programs are suggested.

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Sleep apnea: Clinical investigations in humans

Cited by 188 publications

References 262 publications

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

Stability of Auditory Discrimination and Novelty Processing in Physiological Aging

Perceived informational needs, side-effects and their consequences on adherence—A comparison between CPAP treated patients with OSAS and healthcare personnel

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