• Maxillofacial Plastic and Reconstructive Surgery
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• v.34 no.6
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• pp.426-431
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• 2012

Purpose: The aim of this study was to evaluate the effect of temporary mandibular advancement devices (MAD) in obstructive sleep apnea (OSA) patients Methods: 28 patients (male 21, female 7) undergoing temporary mandibular advancement device treatment for OSA were selected from 2011.01. to 2012.02. in the department of Oral & Maxillofacial Surgery at SamsungMedicalCenter. Treatment efficacy was determined by polysomnography (PSG) at baseline & after MAD delivery. The response group was defined as >50% Apnea-Hypopnea Index (AHI) reduction plus post-MAD AHI <10, and the non-response group was defined as <50% AHI reduction. The lateral cephalogram was analysed including SNA, SNB, UL, MPH, PAS, PASU, and PAST using V-ceph$^{TM}$ (Cybermed, USA). Results: The responsers were 23 patients, and non-responsers were 5 patients. The AHI was significantly reduced with temporary MAD ($8.08{\pm}7.93$) compared with baseline ($28.51{\pm}20.56$) in the response group (n=23). No significant difference was observed between pre MAD and post MAD except SNB on cephalometric analysis. Among 11 patients successfully treated with the temporary device, 9 patients said that using permanent device brings better effect too. Conclusion: These results indicate that the Temporary MAD could not be the only effective tools on OSA but also be used to predict patient's reactivity about permanent appliance treatment. Further studies are warranted to evaluate the relations between temporary MAD and permanent MAD.

• Journal of Oral Medicine and Pain
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• v.47 no.3
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• pp.135-143
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• 2022

Purpose: This study aimed to evaluate polysomnographic and cephalometric characteristics of patients with OSA according to obesity level based on the World Health Organization (WHO) Asian-Pacific BMI criteria. Methods: One hundred and thirty-one consecutive patients with obstructive sleep apnea (OSA) were evaluated using standard level 1 polysomnography and cephalometric analyses. The subjects were categorized into normal, overweight and obese groups according to the WHO Asian-Pacific BMI criteria. Respiratory indices and cephalometric parameters were compared among groups. Results: The 131 patients consisted of 111 males and 20 females, with a mean age of 44.1±12.4 years. The mean value of BMI was 25.3±3.4 kg/m² for all subjects, 20.6±2.2 kg/m² for normal (n=27), 24.0±0.5 kg/m² for overweight (n=33) and 27.6±2.2 kg/m² for obese (n=71). The obese group had a significantly higher apnea-hypopnea index (AHI) and respiratory arousal index and lower oxygen saturation level than the normal group (p<0.05). Total AHI, mean oxygen saturation level and respiratory arousal index were significantly correlated with BMI (p<0.001). A longer soft palate and anterior position of the hyoid bone were significantly correlated with BMI level (p ≤0.05). Conclusions: Obese patients have a higher risk of compromised craniofacial skeletal features and soft tissue structures, and severe OSA than non-obese patients.

• Journal of Biomedical Engineering Research
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• v.35 no.4
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• pp.75-80
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• 2014

This paper proposed a method that can automatically classify sleep apnea by using features extracted from pulse rate variability(PRV) signals induced from piezo snoring sensor for patients with obstructive sleep apnea(OSA). We have extracted eight features(NN, SDNN, RMSSD, NN10, NN50, LF, HF and LF/HF ratio) based on time and frequency analyses of PRV. Sleep apnea was classified by a linear discriminant analysis(LDA). A performance was evaluated using snore recordings from 13 patients with OSA (ages: $54.5{\pm}10.5$ years, body mass index: $26.3{\pm}2.5kg/m^2$, apnea-hypopnea index: $19.2{\pm}6.0/h$). The sensitivity and specificity were $78.9{\pm}0.9%$ and $78.9{\pm}0.9%$ for training set and $77.7{\pm}10.9%$ and $79.0{\pm}2.8%$ for test set, respectively. Our study demonstrated the feasibility of implementing a piezo snoring sensor based on a portable device as a simple and cost-effective solution for contributing to the OSA screening.

• Journal of Sleep Medicine
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• v.15 no.2
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• pp.55-61
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• 2018

Objectives: Despite the accumulating evidence of the effectiveness of positive airway pressure (PAP) therapy in obstructive sleep apnea (OSA) syndrome, adherence to PAP therapy is not high. Several factors reportedly affect PAP adherence; however, it remains unclear whether patients' symptoms were detrimental to adherence rate. This study is aimed at investigating the relationship between insomnia symptoms and adherence. Methods: Retrospective analyses were performed in 359 patients with OSA (mean age $58.4{\pm}13.2$ years; females, n=80). Logistic regression analyses were performed between PAP adherence with clinical factors and questionnaires, such as Epworth Sleepiness Scale, Insomnia Severity Index, and Beck Depression Inventory (BDI). Results: PAP adherence was defined as the use of PAP for ${\geq}4h$ per night on 70% of nights during 30 consecutive days. The median follow-up time was 55 days (interquartile range, 30-119 days), and 54.3% showed poor adherence. Non-adherent patients showed more severe sleep onset insomnia, higher BDI, and higher nadir oxygen saturation ($SaO_2$). Patients with good adherence had higher apnea-hypopnea index, oxygen desaturation index, and respiratory arousal to total arousal ratio. Sleep onset insomnia [odds ratio (OR)=1.792, p=0.012], BDI (OR = 1.055, p=0.026), and nadir $SaO_2$ (OR=1.043, p=0.040) were independently associated with PAP non-adherence. Conclusions: Not the severity of insomnia but sleep onset insomnia was associated with PAP adherence, as well as depressive mood. It suggests that different interventions for reducing insomnia and depressive mood are needed to increase PAP adherence in patients with OSA.

• Sleep Medicine and Psychophysiology
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• v.18 no.2
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• pp.72-75
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• 2011

Sleep disorders such as insomnia, obstructive sleep apnea (OSA), and restless legs syndrome (RLS) are very common disorders and may cause significant burden in terms of individual as well as societal aspects. Sleep insufficiency from such sleep disorders may cause deleterious effects on daily work life and may be associated with other major medical or psychiatric disorders including cardiovascular disease, diabetes mellitus, depression, and anxiety disorder. Various motor or occupational accident may result from the sleep problems. In addition, recent researches provide the method to evaluate the lost productivity time in terms of absenteeism and presenteeism. Moreover, several studies on cost-effectiveness of treatment of sleep disorders show that it is cost-effective.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.42 no.3 s.303
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• pp.47-52
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• 2005

Obstructive Sleep Apnea (OSA) is a representative symptom of sleep disorder caused by the obstruction of upper airway. Because OSA causes not only excessive daytime sleepiness and fatigue, hypertension and arrhythmia but also cardiac arrest and sudden death during sleep in the severe case, it is very important to detect the occurrence and the frequency of OSA. OSA is usually diagnosed through the laboratory-based Polysomnography (PSG) which is uncomfortable and expensive. Therefore researches to improve the disadvantages of PSG are needed and studies for the detection of OSA using only one or two parameters are being made as alternatives to PSG. In this paper, we developed an algorithm for the detection of OSA based on Heart Rate Variability (HRV). The proposed method is applied to the ECG data sets provided from PhysioNet which consist of learning set and training set. We extracted features for the detection of OSA such as average and standard deviation of 1 minute R-R interval, power spectrum of R-R interval and S-peak amplitude from data sets. These features are applied to the input of neural network. As a result, we obtained sensitivity of $89.66\%$ and specificity of $95.25\%$. It shows that the features suggested in this study are useful to detect OSA.

• Korean Journal of Health Psychology
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• v.16 no.3
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• pp.557-575
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• 2011

This study tried to examine the characteristics of attention deficits in patients with Obstructive Sleep Apenea(OSA) with different age levels, and to examine which indices of polysomnograms might be related to the indices of attention deficits in OSAs. Two age-level groups and a normal control group were subjected to two computerized attention tests, including a continuous performance test(CPT) and a change blindness task(CBT). In addition, the three groups were subjected to a Polysomnography to extract several sub-indicators of polysomnogram, and an Epworth Sleepiness Scale which measures subjective sleepiness. As results, the OSAs showed significantly more omission and commission errors in CPT, and they showed lower accuracy in CBT compared to the normal group. The results of a correlational analysis showed that attention deficits in OSA are significantly correlated with arterial oxygen saturation among sub-indicators of polysomnograms. In conclusion, OSAs seems to be less attentive, having difficulties in response inhibition, and having deficiencies in noticing important environmental changes. Age seems to make these deficiencies even worse. Especially, the relationship between attention deficiency and hypoxia which could cause irreversible cerebrum damage has an implication in cognitive impairment prevention through early treatment.

• 한국전산유체공학회:학술대회논문집
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• 2008.03b
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• pp.492-495
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• 2008

As the obesity patients increase recently, breath disease such an OSA(obstructive sleep apnea) is also increasing. When the breath disease occurs, the risk comes to be high. Dependence degree the PAP(positive airway pressure) is also coming to be high. The mechanical simulator is composed cylinder, valve, ball screw and the motor that they correspond to the lung and airway, the diaphragm of the human. In order to confirm the characteristic of the motor and the valve, it accomplished an test. The simulator traces breath pattern against the normal breath and the OSA.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.42
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• pp.1.1-1.8
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• 2020

Considering psychosocial needs of patients, it is not surprising that surgery-first approach (SFA) is becoming more popular than ever. Although the concept of SFA was introduced a few decades ago, the limitation of analysis method based on two-dimensional images makes surgeons reluctant to choose SFA. Recently, the advancement of three-dimensional technology allows us to perform SFA even without minimal pre-surgical orthodontic treatment, and the prediction of surgical outcome became more accurate, especially in obstructive sleep apnea (OSA) patients to whom the advantages of SFA should be more significant. Here, we describe the current trend of SFA and its implication in OSA patients.

• Tuberculosis and Respiratory Diseases
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• v.47 no.2
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• pp.218-230
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• 1999

Background: Craniofacial anatomic abnormalities related to structural narrowing of the upper airway have been reported in patients with obstructive sleep apnea syndrome. In this study, we evaluated the craniofacial anatomic characteristics of Korean patients with obstructive sleep apnea syndrome, and the role of cephalometric analysis in the prediction of abnormal breathing during sleep. Methods: Thirty-nine patients with obstructive sleep apnea syndrome(OSAS), 39 simple snorers(simple snorers) and 20 controls(control) had cephalometric analysis using the technique of Riley et al, and underwent standardized polysomnographic recordings. Different variables, including sex, body mass index, cephalometric and polysomnographic data, were statistically analyzed. Results: Pm-UPW and V-LPW distances were significantly shorter in OSAS when compared with simple snorers or control. PAS in simple snorers was shorter than in control. ANS-Gn distance in OSAS was significantly longer than in control. PNS-P distance in OSAS or simple snorers was significantly longer than in control. MP-H distance in OSAS was significantly longer than in simple snorers or control and MP-H distance in simple snorers was also longer than in control. NL/Pm-P angle in OSAS was lesser than in control. MP-H distance in OSAS or in the combined groups of OSAS and simple snorers was significantly correlated with apneahypopnea index(AHI). PNS-P distance in the combined groups of OSAS and simple snorers was correlated with AHI. In male of all subjects, body mass index was significantly correlated with PNS-P or MP-H distance. Conclusion: Cephalometric analysis can be useful tool in determining the craniofacial anatomic abnormalities in patients with obstructive sleep apnea syndrome. Cephalometric parameters, especially MP-H distance, can be useful for predicting frequency of narrowing or obstruction of upper airway during sleep.