Discrepancy in Polysomnography Scoring for a Patient with Obstructive Sleep Apnea Hypopnea Syndrome

Suzuki, Masuko; Saigusa, Hanako; Chiba, Shintaro; Yagi, Tomoko; Shibasaki, Kana; Hayashi, Mineko; Suzuki, Michiko; Moriyama, Kiyoshi; Kodera, Kazuoki

doi:10.1620/tjem.206.353

Cited by 18 publications

(9 citation statements)

References 14 publications

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“…Lower values indicate stability whereas higher values indicate greater night-to-night variability (Rowe et al, 2008). Several other researchers have, in recent years, also recognized the utility of this variability measure of sleep Merklinger-Gruchala, Ellison, Lipson, Thune, & Jasienska, 2008;Suzuki et al, 2005;Tryon, 2005).…”

Section: Instrumentsmentioning

confidence: 99%

The Relationships between Life Satisfaction and Sleep Quality, Sleep Duration and Variability of Sleep in University Students

Ness

Saksvik‐Lehouillier

2018

Journal of European Psychology Students

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Life satisfaction is commonly used as an indicator of general well-being (Diener, Emmons, Larsen, & Griffin, 1985), and has been found to be related to perceived stress, reported level of social support, and self-efficacy in university students (Coffman & Gilligan, 2002). However, few studies have looked at how life satisfaction relates to different aspects of sleep in student populations (Lund, Reider, Whiting, & Prichard, 2010), even though the importance of sleep for well-being has been documented in other populations. Paunio and colleagues (2009) found in a nationwide cohort study including 18 631 Finnish twins, that poor sleep can predict life dissatisfaction. Similarly, a longitudinal study by Kalak, Lemola, Brand, Holsboer-Trachsler, and Grob (2014) found that sleep duration in Swiss and Norwegian adolescents prospectively predicted psychological well-being (as measured by the Bern well-being questionnaire for adolescents-subscale). Considering that sleep problems have been found to also be present at alarming levels in college and university students (Buboltz, Brown, & Soper, 2001; Lund et al., 2010), more research regarding the relationship between sleep variables and well-being in college and university students is needed. Life Satisfaction Definitions of well-being and happiness can be grouped into three categories: normative, affective and cognitive (Diener, 1984). Only the two latter categories, the affec-tive and cognitive, consider the individual's own assessments, and is therefore relevant to subjective well-being. The affective category of happiness focuses on positive and negative affect, and has more resemblance to how we use the word happiness in everyday discourse. The cognitive category on the other hand, includes definitions that have focused on what make individuals evaluate their life in positive terms. One type of well-being, life satisfaction, falls into this cognitive category of happiness according to Shin & Johnson (1978) and is defined as a judgmental process where individuals assess the quality of their life by using their own criteria. Importantly, the judgement of the degree to which people are satisfied with their life is based on a comparison with a standard set by the individual him or herself, and is not externally imposed (Diener et al., 1985). Another construct that has been used when studying well-being is quality of life. Although this construct has been given countless definitions, it seems to often be defined in a broader way than life satisfaction and concerns the general well-being of people and societies (Felce & Perry, 1995). However, it is also sometimes used interchangeably with life satisfaction (e.g., Frisch, Cornell, Villanueva, & Retzlaff, 1992). In the current study, only life satisfaction, as defined above, is used. Sleep As sleep is a complex phenomenon, it can be helpful to consider which aspects of sleep one is interested in when studying its relationships to other concepts. Using more than one aspect of sleep also allows for a comprehensive assessment of...

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Section: Instrumentsmentioning

confidence: 99%

The Relationships between Life Satisfaction and Sleep Quality, Sleep Duration and Variability of Sleep in University Students

Ness

Saksvik‐Lehouillier

2018

Journal of European Psychology Students

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“…Overnight sleep studies, diagnostic PSG, and manual CPAP titration were carried out as published previously (Suzuki et al 2005). Briefly, we simultaneously performed electroencephalography (EEG, C4/A1, C3/A2), electrooculography (EOG), submental electromyography (EMG), and electrocardiography (ECG) using surface electrodes, and measured air flow at the nose and mouth using a thermistor, respiratory movements of the rib cage and abdomen by inductive plethysmography, and percutaneous arterial oxygen saturation (SpO 2 ) using a finger pulse oximeter.…”

Section: Polysomnography and Titrationmentioning

confidence: 99%

Prevalence of Complex Sleep Apnea Among Japanese Patients with Sleep Apnea Syndrome

Endo

Suzuki

Inoue

et al. 2008

Tohoku J. Exp. Med.

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Sleep apnea syndrome (SAS) is basically divided into two types: obstructive and central SAS. Recently, the concept of complex SAS has been advocated. Complex SAS is defined as SAS that initially manifests as primarily obstructive SAS, but is characterized by the frequent central apneas after the removal of upper airway obstruction. To determine the prevalence and clinical significance of complex SAS among Japanese patients with SAS, 1,312 patients with SAS were enrolled in this study. Diagnosis of central SAS was made based on diagnostic polysomnography, and differentiation of obstructive SAS from complex SAS was made from polysomnographic findings for treatment with continuous positive airway pressure, which resolved upper airway obstruction. As a result, obstructive SAS was found in 1,232 of 1,312 patients with SAS (93.9%) and central SAS was found in 14 patients (1.1%). The overall prevalence of complex SAS was 5.0% (n = 66). The prevalence of complex SAS among 1,218 male and 94 female patients with SAS were 5.3% and 1.1%, respectively. Patients with complex SAS had significantly higher apnea/ hypopnea indices than patients with either obstructive or central SAS, but were similar in both mean age and average body mass index to obstructive SAS patients. There were no significant between-group differences in numbers of patients with clinical complications including hypertension, cardiac diseases, or cerebrovascular diseases. In conclusion, the prevalence of complex SAS in Japanese SAS patients is 5.0%, which is lower than previously reported prevalence of complex SAS in the USA and Australia. obstructive sleep apnea syndrome; central sleep apnea syndrome; hypertension; cardiac disease; cerebrovascular disease.

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“…However, not only between hypopneas and normal breathings, but also between apneas and hypopneas does interchangeable misidentification sometimes occur because of variability in the definitions of the degree of reduction of the airflow or respiratory effort when scoring breathing events [7]. On the other hand, the Pes swing at the inspiratory peak during sleep is an absolute value and rarely influenced by the differences in the scorers or methods of detection.…”

Section: Severity Of Sleep-related Breathing Eventsmentioning

confidence: 99%

Digital recording and analysis of esophageal pressure for patients with obstructive sleep apnea–hypopnea syndrome

et al. 2005

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To evaluate sleep-related obstructive breathing events in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS), we developed a technique for digital recording and analysis of esophageal pressure (Pes) and elucidated the Pes parameters. Pes was recorded overnight with a microtip-type pressure transducer in 74 patients with OSAHS. Simultaneously, in all patients digital polysomnography was recorded. The mean nadir end-apneic Pes swing (Pes Nadir) ranged from -20.2 to -147.4 cmH(2)O, with a mean of -53.6+/-2.9 cmH(2)O. Correlation of the mean Pes Nadir indicated a linear relationship with the mean ratio of maximal Pes swing to apnea duration (r(2)=0.70) and the mean area of the Pes (Pes Area) (r(2)=0.82). Significant correlations were noted between the mean Pes Nadir and apnea-hypopnea index (AHI, ranging from 7.9 to 109.5 per hour; r(2)=0.66), minimum SpO(2) (r(2)=0.60), oxygen desaturation index (ODI) of more than 3 (r(2)=0.65), arousal index (r(2)=0.54), and between the mean Pes Area and AHI (r(2)=0.63), minimum percutaneous arterial oxygen saturation (SpO(2); r(2)=0.57), ODI (r(2)=0.69), and arousal index (r(2)=0.41). Pes parameters were found to be significant in the evaluation of the severity of the respiratory effort during the sleep-related obstructive breathing events for patients with OSAHS.

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Discrepancy in Polysomnography Scoring for a Patient with Obstructive Sleep Apnea Hypopnea Syndrome

Cited by 18 publications

References 14 publications

The Relationships between Life Satisfaction and Sleep Quality, Sleep Duration and Variability of Sleep in University Students

The Relationships between Life Satisfaction and Sleep Quality, Sleep Duration and Variability of Sleep in University Students

Prevalence of Complex Sleep Apnea Among Japanese Patients with Sleep Apnea Syndrome

Digital recording and analysis of esophageal pressure for patients with obstructive sleep apnea–hypopnea syndrome

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