Hypertension prevalence in obstructive sleep apnoea and sex: a population-based case–control study

Hedner, Jan; Bengtsson-Boström, Kristina; Peker, Yüksel; Grote, Ludger; Råstam, Lennart; Lindblad, Ulf

doi:10.1183/09031936.06.00042105

Cited by 134 publications

(83 citation statements)

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“…In our cohort, 21.6% of the subjects had an AHI o15 events?h -1 , which is higher than in the general population [9], but comparable to populations with heart failure [24], arterial hypertension [28] or coronary artery disease [10], as reported previously. Our data confirm the established impact of cardiac frequency, BMI and LVM on diastolic function.…”

Section: Discussionsupporting

confidence: 53%

Impact of obstructive sleep apnoea on diastolic function

et al. 2012

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We investigated whether obstructive sleep apnoea (OSA) independently affects diastolic function in a primary care cohort of patients with cardiovascular risk factors.378 study participants with risk factors for diastolic dysfunction were prospectively included and a polygraphy was performed in all patients. Diastolic dysfunction was assessed by comprehensive echocardiography including tissue Doppler. Sleep apnoea was classified according to apnoea/ hypopnoea index (AHI) as none (AHI ,5 events?h ). Patients with central sleep apnoea (n514) and patients with previously diagnosed sleep apnoea (n512) were excluded. In the remaining 352 subjects, 21.6% had an AHI o15 events?h -1 . The prevalence of diastolic dysfunction increased with the severity of sleep apnoea from 44.8% (none) to 56.8% (mild) to 69.7% (moderate-to-severe sleep apnoea) (p50.002). The degree of diastolic dysfunction also increased with sleep apnoea severity (p50.004). In univariate regression analysis, age, desaturation index, AHI, cardiac frequency, angiotensin receptor 1 antagonist therapy, body mass index (BMI) and left ventricular mass were associated with diastolic dysfunction. In multivariate regression analysis, only age, BMI, AHI and cardiac frequency were independently associated with diastolic dysfunction.Moderate-to-severe OSA is independently associated with diastolic dysfunction in patients with classical risk factors for diastolic dysfunction.

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Section: Discussionsupporting

confidence: 53%

Impact of obstructive sleep apnoea on diastolic function

et al. 2012

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“…Statistically signifiof hours of sleep. Based on the AHI, OSAHS severity was classified as mild (<15), moderate (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) or severe (>30). (14) Data were stored and analyzed using the program Statistical Package for Social Sciences, version 14.0 (SPSS Inc, Chicago, IL, USA).…”

Section: Methodsmentioning

confidence: 99%

Síndrome das apnéias-hipopnéias obstrutivas do sono: associação com gênero e obesidade e fatores relacionados à sonolência

2008

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Objective: To study the effects that gender and obesity have on excessive daytime sleepiness (EDS) in individuals with obstructive sleep apnea-hypopnea syndrome (OSAHS), as well as to identify factors associated with EDS in such individuals. Methods: A total of 300 consecutive patients who completed the clinical evaluation satisfactorily and whose polysomnography showed an apnea-hypopnea index (AHI) > 10 events/hour of sleep were selected from a sleep clinic population for inclusion in the study. Results: Mean age was 47 ± 11 years, and mean AHI was 52.1 ± 29.2 events/hour of sleep. Females presented higher mean age, lower EDS scores and less time in apnea . Mean EDS score was 14.7 ± 7.2. The EDS score correlated best with body movements (r = 0.43; p < 0.01), respiratory events during sleep (r = 0.40; p < 0.01), duration of apnea (r = 0.40; p < 0.01), peripheral oxygen saturation (SpO 2 ; r = -0.38; p < 0.01) and AHI (r = 0.37; p < 0.01). Mean body mass index (BMI) was 30.2 ± 5.3 kg/m 2 . Overweight, obesity and morbid obesity were observed in 41, 44 and 5.3% of cases, respectively. Disease severity correlated most strongly with BMI (r = 0.51; p < 0.01). Conclusions: Higher mean age, lower EDS scores and less time spent in sleep apnea time in apnea were associated with being female. Fragmented sleep, number/duration of respiratory events during sleep, SpO 2 levels and obesity were associated with sleepiness. The BMI had a significant effect on OSAHS severity.Keywords: Sleep apnea, obstructive; Sleep apnea syndromes; Polysomnography; Sleep stages; Obesity. ResumoObjetivo: Estudar os efeitos de gênero e obesidade e identificar fatores relacionados à sonolência diurna excessiva (SDE) em indivíduos com síndrome das apnéias-hipopnéias obstrutivas do sono (SAHOS). Métodos: Foram selecionados para inclusão no estudo 300 pacientes consecutivos, atendidos em clínica do sono, com índice de apnéia/hipopnéia (IAH) > 10 eventos/hora de sono, que completaram adequadamente a avaliação clínica. Resultados: A média de idade foi de 47 ± 11 anos e o IAH médio foi de 52,1 ± 29,2 eventos/hora de sono. As mulheres apresentaram maior média de idade, menos sonolência e menos tempo em apnéia. O escore médio de SDE foi de 14,7 ± 7,2. O escore de SDE correlacionou-se melhor com movimentos corpóreos (r = 0,43; p < 0,01), eventos respiratórios durante o sono (r = 0,40; p < 0,01), tempo em apnéia (r = 0,40; p < 0,01), valores mínimos da saturação periférica de oxigênio (SpO 2 ; r = -0,38; p < 0,01) e IAH (r = 0,37; p < 0,01). O índice de massa corpórea (IMC) médio foi de 30,2 ± 5,3 kg/m 2 . Sobrepeso, obesidade e obesidade mórbida foram observados em, respectivamente, 41, 44 e 5,3% dos casos. A gravidade da doença correlacionou-se melhor com IMC (r = 0,51; p < 0,01). Conclusões: Maior média de idade, menor escore de SDE e menor tempo em apnéia foram associados ao gênero feminino. Fragmentação do sono, número e duração de eventos respiratórios durante o sono, níveis de SpO 2 e obesidade se associaram à sonolência. O IMC teve efeito significat...

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“…The original population cohort included normotensive subjects (random population sample) and patients with hypertension. 13 Signed IRB-approved consent forms were obtained prior to enrollment in each institution.…”

Section: Overview Of Study Designmentioning

confidence: 99%

Sleep Staging Based on Autonomic Signals: A Multi-Center Validation Study

Hedner

White

Malhotra

et al. 2011

Journal of Clinical Sleep Medicine

123

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Study Objectives: One of the most important caveats of ambulatory devices is the inability to record and stage sleep. We assessed an algorithm determining 4 different stages: wake, light sleep, deep sleep, and REM sleep using signals derived from the portable monitor Watch-PAT100 (PAT recorder). Methods: Participants (38 normal subjects and 189 patients with obstructive sleep apnea [OSA]) underwent simultaneous overnight recordings with polysomnography (PSG) and the PAT recorder in a study originally designed to assess the accuracy of the PAT recorder in diagnosing OSA. Light/deep sleep and REM sleep from the PAT recorder recording were automatically scored based on features extracted from time series of peripheral arterial tone amplitudes and inter pulse periods. The PSG scored sleep stages 1 and 2 were classified as light sleep for epoch-by-epoch comparisons. Results:The overall agreement in detecting light/deep and REM sleep were 88.6% ± 5.9% and 88.7% ± 5.5%, respectively. There was a good agreement between PSG and the PAT recorder in quantifying sleep efficiency (78.4% ± 9.9% vs. 78.8% ± 13.4%), REM latency (237 ± 148 vs. 225 ± 159 epochs), and REM percentage (14.4% ± 6.5% vs. 19.3% ± 8.7%). OSA severity did not affect the sensitivity and specificity of the algorithm. The Cohen κ coefficient for detecting all sleep stages: sleep from wake, REM from NREM sleep, and deep from light sleep were 0.48, 0.55, 0.59, and 0.46, respectively. Conclusions: Analysis of autonomic signals from the PAT recorder can detect sleep stages with moderate agreement to more standard techniques in normal subjects and OSA patients. This novel algorithm may provide insights on sleep and sleep architecture when applying the PAT recorder for OSA diagnosis.

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Hypertension prevalence in obstructive sleep apnoea and sex: a population-based case–control study

Cited by 134 publications

References 49 publications

Impact of obstructive sleep apnoea on diastolic function

Impact of obstructive sleep apnoea on diastolic function

Síndrome das apnéias-hipopnéias obstrutivas do sono: associação com gênero e obesidade e fatores relacionados à sonolência

Sleep Staging Based on Autonomic Signals: A Multi-Center Validation Study

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