• Korean Journal of Clinical Laboratory Science
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• v.39 no.3
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• pp.264-270
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• 2007

Obstructive sleep apnea syndrome (OSAS) is defined by sleep apnea with decreased oxygen saturation, excessive snoring with daytime sleepiness, and frequent awakening during the night time sleep. The present study was performed to investigate how apnea-hypopnea, that possibly causes breathing disturbance during sleep, can affect sleep pattern in patients with OSAS. We included 115 patients (92 men, 23 women) who underwent a polysomnography from January 2006 to May 2007. As the frequency of sleep apnea-hypopnea increases, the proportion of non-rapid eye movement (REM) sleep (p<0.001), and stage I sleep (p<0.001) increased, while that of stage II sleep (p<0.001), stage III and IV sleep (p<0.01), and REM sleep (p<0.05) decreased. Furthermore, sleep apnea-hypopnea was closely correlated with REM sleep (r=0.314, p<0.001), stage I sleep (r=0.719, p<0.001), stage II sleep (p=-0.342, p<0.05), stage III and IV sleep (r=-0.414, p<0.001), and REM sleep (r=-0.342, p<0.05). Stage I sleep could account for the 51% of the variance of apnea-hyponea. Our study shows sleep apnea-hypopnea affects sleep pattern in pattern with OSAS significantly, and the change of stage I sleep is the most important factor in estimating the disturbance of sleep pattern.

• Korean Journal of Clinical Laboratory Science
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• v.38 no.3
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• pp.212-217
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• 2006

Obstructive sleep apena syndrome (OSAS) is accompanied by the following symptoms: apnea caused by upper respiratory tract obstruction while sleeping, repetitive lowering of $SpO_2$, severely affected excessive daytime sleepiness (EDS), suffocation/frequent awakeness while sleeping, daytime lethargy, and lack of concentration. OSAS was investigated with sex, age, body weight, body mass index (BMI), neck circumference and snoring sound as clinical characteristics and the anticipating factors of OSAS were studied in relation with the apnea-hypopnea index (AHI). The subjects were 42 people (male 34/female 8) who visited the clinic due to snoring and had polysomnography evaluation. AHI was differenciated into normal (less than 0~5/hr), mild (5~15/hr), moderate (15~30/hr) and severe (more than 30/hr). As the apnea-hypopnea index (AHI) gets higher, the snoring sound was louder (p<0.01), neck circumference was thicker (p<0.05) and also there were relative correlations with body weight (p<0.01), body mass index (p<0.05), snoring sound (p<0.01) and neck circumference (p<0.01). Since the snoring sound and neck circumference explained 32.8% of the AHI distribution, if the patient was severely snoring or had a thick neck circumference due to obesity, the apnea-hypopnea index showed a predisposition to the obstructive sleep apnea syndrome.

• Imaging Science in Dentistry
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• v.54 no.2
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• pp.147-157
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• 2024

Purpose: The aim of this study was to explore the correlations of cone-beam computed tomographic findings with the apnea-hypopnea index in patients with obstructive sleep apnea. Materials and Methods: Forty patients with obstructive sleep apnea were selected from the ear-nose-throat (ENT) outpatient clinic, Faculty of Medicine, Mansoura University. Cone-beam computed tomography was performed for each patient at the end of both inspiration and expiration. Polysomnography was carried out, and the apnea-hypopnea index was obtained. Linear measurements, including cross-sectional area and the SNA and SNB angles, were obtained. Four oral and maxillofacial radiologists categorized pharyngeal and retropalatal airway morphology and calculated the airway length and volume. Continuous data were tested for normality using the Kolmogorov-Smirnov test and reported as the mean and standard deviation or as the median and range. Categorical data were presented as numbers and percentages, and the significance level was set at P<0.05. Results: The minimal value of the cross-sectional area, SNB angle, and airway morphology at the end of inspiration demonstrated a statistically significant association (P<0.05) with the apnea-hypopnea index, with excellent agreement. No statistically significant difference was found in the airway volume, other linear measurements, or retropalatal airway morphology. Conclusion: Cone-beam computed tomographic measurements in obstructive sleep apnea patients may be used as a supplement to a novel radiographic classification corresponding to the established clinical apnea-hypopnea index classification.

• Sleep Medicine and Psychophysiology
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• v.15 no.2
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• pp.67-70
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• 2008

Overlap syndrome can be defined as a coexistence of chronic obstructive pulmonary disease (COPD) and sleep apnea-hypopnea syndrome (SAHS). The association of COPD and SAHS has been suspected because of the frequency of both diseases. Prevalence of COPD and SAHS is respectively 10 and 5% of the adult population over 40 years of age. However, a recent study has shown that the prevalence of SAHS is not higher in COPD than in the general population. The coexistence of the two diseases is only due to chance. SAHS does not affect the pathophysiology of COPD and vice versa. Prevalence of overlap syndrome is expected to occur in about 0.5% of the adult population over 40 years of age. Patients with overlap syndrome have a more profound hypoxemia, hypercapnia, and pulmonary hypertension when compared with patients with SAHS alone or usual COPD patients without SAHS. To treat the overlap syndrome, nocturnal noninvasive ventilation (NIV) or nasal continuous positive airway pressure (nCPAP) can be applied with or without nocturnal oxygen supplement.

• Journal of Biomedical Engineering Research
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• v.40 no.4
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• pp.132-136
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• 2019

This study proposes an auto-titrating algorithm for auto-titrating positive airway pressure (APAP). The process of the proposed algorithm is as follows. First, sleep apnea-hypopnea and snoring events were detected using nasal pressure. Second, APAP base pressure and SDB events were used for automatic titration of optimal pressure. And, auto-titrating algorithm is built into M3 (MEK-ICS CO. Ltd., Republic of Korea) for evaluation. The detection results of SDB showed mean sensitivity (Sen.) and positive predictive value (PPV.) of 85.7% and 87.8%, respectively. The mean pressure and apnea-hypopnea index (AHI) of auto-titrating algorithm showed $13.0{\pm}5.2cmH_2O$ and $3.0{\pm}2.4$ events/h, respectively. And, paired t-test was conducted to verify whether the performance of our algorithm has no significant difference with AutoSet S9 (p>0.05). These results represent better or comparable outcomes compared to those of previous APAP devices.

• The Journal of Korean Medicine
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• v.33 no.1
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• pp.169-176
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• 2012

Objectives: Obstructive sleep apnea (OSA) is prevalent disorder, particularly among the middle-aged. In this study, we report a new approach to improve OSA using oriental medicine and acupuncture. Methods: Three men diagnosed with OSA were enrolled in this study. They took oriental medicine 3 times a day and were given acupuncture twice a week for about 4 months. Results: We analyzed apnea-hypopnea index (AHI), oxygen desaturation index (ODI), average saturation (AS) and lowest saturation (LS) before and after treatment. AHI highly decreased in all patients and ODI also decreased in two of the three patients. Conclusions: These results indicate that oriental medicine and acupuncture therapy was effective in the improvement of OSA. Further study in a larger group with severity grades is recommended.

• Korean Journal of Clinical Laboratory Science
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• v.44 no.4
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• pp.205-209
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• 2012

Obstructive sleep apnea (OSA) is the most common type of sleep apnea and is caused by obstruction of the upper airway. It is characterized by repetitive pauses in breathing during sleep despite the effort to breathe. Apnea is closely related to clinical findings and respiratory disturbance index (RDI). The total subjects were 42 (male 26, female 16) and examined by polysomography (PSG) in terms of RDI above 5 and below 5 at Mok-Dong Hospital in Ewha Womans University from January to June, 2012. The study revealed the followings: The comparison of clinical findings and RDI above 5 showed significant increase in age, BMI, and snoring sound although lowest $SpO_2$ level decreased. The correlation coefficient analysis between clinical findings and RDI showed statistically significant correlation in age, BMI, lowest $SpO_2$ although snoring sound and average $SpO_2$ showed statistically insignificant correlation.

• Korean Journal of Clinical Laboratory Science
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• v.46 no.3
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• pp.106-110
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• 2014

Obstructive sleep apnea-hypopnea (OSAH) is known to be related to nocturnal blood pressure (BP) and hypertension. The aim of this study was to evaluate the prevalence of hypertension according to the apnea-hypopnea grading. A total of 2,210 adults with snoring and obstructive sleep apnea were referred to our sleep center from July 2009 to May 2013. Clinical blood pressure (BP) was measured before sleeping (bedtime BP) and immediately after waking up in the next morning (morning BP). Subjects were classified into four groups based on the apnea-hypopnea index (AHI) from PSG as follows: control group (n=470) simple snoring and with AHI<5; mild group (n=577) with $AHI{\geq}5$ and <15; moderate group (n=508) $AHI{\geq}15$ and <30; and severe group (n=655) with $AHI{\geq}30$. The differences and correlations between BP and PSG parameters according to the AHI groups were analyzed. Patient's were classified as nomentensive (blood pressure <120/90 mmHg, n=700), prehypertensive (blood pressure < $140-120{\leq}mmHg$, n=1297) hypertensive (blood pressure ${\geq}140/90mmHg$, n=214) according to the office blood pressure measurements. The comparison of sleep parameters showed that OSA groups had a significantly higher stage N1 (control group vs. moderate OSA, severe OSA; $66.4{\pm}30.7$ vs. $85.5{\pm}36.6$, $128.4{\pm}57.3$, p<0.001) and total arousal number (control vs. moderate OSA, severe OSA; $110.7{\pm}47.7$ vs. $150.8{\pm}56.6$, $236.6{\pm}95.8$, p<0.001) compared to control group. The comparison of sleep parameters showed that OSA groups had a significantly lower stage N2 (control group vs. moderate OSA, severe OSA; $172.6{\pm}47.2$ vs. $150.7{\pm}50.5$, $120.3{\pm}57.4$, p<0.001), stage N3 (control group vs. moderate OSA, severe OSA; $38.4{\pm}33.4$ vs. $27.4{\pm}26.0$, $56.1{\pm}27.5$, p<0.001), REM (control group vs. moderate OSA, severe OSA; $64.3{\pm}25.5$ vs. $56.1{\pm}27.5$, $47.3{\pm}25.9$, p<0.001) and mean SaO2% (control group vs. moderate OSA, severe OSA; $90.0{\pm}3.5$ vs. $82.5{\pm}5.5$, $70.0{\pm}8.8$, p<0.001) compared to control group. The Apnea-hypopnea index was significantly higher in OSA groups, increased systolic and diastolic blood pressure than in the nomentensive group (bed time systolic pressure vs. AHI; <120 vs. 120-139, 140-159, >159; $17.5{\pm}18.6$ vs. $24.9{\pm}21.0$, $31.0{\pm}25.7$, $42.3{\pm}31.7$, p<0.001), (bed time diastolic pressure vs. AHI; 60-79 vs. 80-89, 90-99, >99; $19.3{\pm}19.7$ vs. $22.4{\pm}20.3$, $29.8{\pm}23.3$, $38.8{\pm}28.5$, p<0.001). AHI was positively correlated with morning systolic pressure, diastolic pressure, bed time systolic pressure and diastolic pressure (r=0.314, 0.279, 0.233 and 0.200, respectively, p<0.001). We conclude that BMI, Age, neck circumference and AHI increase with the blood pressure.

• Sleep Medicine and Psychophysiology
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• v.20 no.1
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• pp.31-34
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• 2013

Objectives: The aim of this study was to evaluate the differences in patients with positional dependent sleep apnea according to their non-supine apnea-hypopnea index (AHI, ${\geq}5$ vs. <5). Methods: 92 patients with positional sleep apnea were evaluated. The patients were divided into two groups : group I was non-supine AHI having ${\geq}5$ ; group II was non-supine AHI having less than 5. Statistical analysis was performed to find the difference between two groups. Results: In 92 patients, the number of group I patients was 11 (12%) and the number of group II patients was 81 (88%). In the severe AHI group, percentage of group I was dominated (70%) and showing a significant difference compared with the mild and moderate AHI groups (p<.05). In the severe body mass index (BMI) group, percentage of group I was dominated (54.5%) and showing a significant difference compared with of the mild and moderate BMI groups (p<.05). The percentage of group I was significantly higher than group II (p<.05) in the AHI, supine AHI, non-supine AHI and snore time. Conclusions: In patients with positional sleep apnea, severe OSA and high BMI are more common in patients with non-supine AHI${\geq}5$ than non-supine AHI<5.

• Korean Journal of Clinical Laboratory Science
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• v.39 no.2
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• pp.141-146
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• 2007

Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a disorder characterized by the repetitive collapse of the pharyngeal airway during sleep, which leads to oxygen desaturation, sleep fragmentation, daytime sleepiness, and increased risk for hypertension and stroke. We investigated the clinical factors related to the severity of OSAHS. Polysomnography was performed in three hundred and ninety five consecutive adult patients with clinical symptoms of obstructive sleep apnea syndrome. All patients completed the sleep questionnaire and the Epworth Sleepiness Scale before polysomnography. Patients were classified into four groups based on the severity of their polysomnographic data: Non-OSA group, characterized by Apnea-Hypopnea Index (AHI) < 5; mild OSA group, by AHI 5-15; moderate OSA group, by AHI 16-30; and severe OSA group, by AHI > 30. Neck circumference was also measured at the cricothyroid level. A total of 395 patients (336 men and 59 women) were studied. In the non-OSA group, there were 55 patients; their mean neck circumference was $39.63{\pm}4.24cm$ and mean BMI was $24.48{\pm}3.53$. In the mild group, there were 101 patients; their mean neck circumference was $41.93{\pm}3.75cm$ and mean BMI was $25.33{\pm}2.94$. In the moderated group, there were 93 patients; their mean neck circumference was $43.27{\pm}3.50cm$ and BMI was $25.90{\pm}2.88$. In the severe group, there were 146 patients; their mean neck circumference was $44.94{\pm}3.93cm$ and mean BMI was $26.81{\pm}3.76$. Men had significantly larger neck circumference than women ($Mean{\pm}SD$, $43.72{\pm}3.83$ vs $39.17{\pm}4.30$, p < 0.001), and higher AHI than women ($29.12{\pm}22.65$ vs $14.63{\pm}14.11$, p < 0.001). Multiple regression analysis revealed that neck circumference was the most significant predictor of AHI. Neck circumference and BMI were positively correlated with the severity of OSAHS. The severity of OSAHS was greater in men than in women.