scholarly journals Assessment of Screening for Nasal Obstruction among Sleep Dentistry Outpatients with Obstructive Sleep Apnea

2020 ◽  
Vol 8 (4) ◽  
pp. 119
Author(s):  
Arisa Sawa ◽  
Hiroshi Suzuki ◽  
Hideo Niwa ◽  
Sumito Oguchi ◽  
Tatsuo Yagi ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Nasal Obstruction ◽  
Standard Technique ◽  
Apnea Hypopnea Index ◽  
Nasal Airflow ◽  
Nose Scale ◽  
Symptom Evaluation ◽  
Obstructive Sleep ◽  
Scale Scores

Oral appliances (OA), a common treatment modality for obstructive sleep apnea (OSA), are not suitable for patients with nasal obstruction. Rhinomanometry, the gold standard technique to assess nasal airway resistance, is not readily available in sleep dentistry clinics. We demonstrate the use of a portable lightweight peak nasal inspiratory flow (PNIF) rate meter to objectively assess nasal airflow and utilized the Nasal Obstruction Symptom Evaluation (NOSE) scale to subjectively assess nasal obstruction in 97 patients with OSA and 105 healthy controls. We examined the correlations between the following variables between the groups: demographics, body mass index, PNIF, NOSE scale scores, apnea–hypopnea index (AHI), minimum SpO2 (SpO2min), Mallampati classification, and Epworth Sleepiness Scale (ESS) scores. Patients with OSA had significantly lower PNIF values and higher NOSE scores than controls. In the patient group, PNIF was not significantly correlated with AHI, SpO2min, Mallampati classification, or NOSE or ESS scores. Lower PNIF values and higher NOSE scores suggested impaired nasal airflow in the OSA group. As daytime PNIF measurement bears no relationship to AHI, this cannot be used alone in predicting the suitability of treatment for OSA with OA but can be used as an adjunct for making clinical decisions.

Aerodynamics Analysis of the Impact of Nasal Surgery on Patients with Obstructive Sleep Apnea and Nasal Obstruction

ORL ◽  
2021 ◽  
pp. 1-8
Author(s):  
Lifeng Li ◽  
Demin Han ◽  
Hongrui Zang ◽  
Nyall R. London
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Nasal Obstruction ◽  
Upper Airway ◽  
Apnea Hypopnea Index ◽  
Nasal Surgery ◽  
Subjective Sleep Quality ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
The Impact

<b><i>Objective:</i></b> The purpose of this study was to evaluate the effects of nasal surgery on airflow characteristics in patients with obstructive sleep apnea (OSA) by comparing the alterations of airflow characteristics within the nasal and palatopharyngeal cavities. <b><i>Methods:</i></b> Thirty patients with OSA and nasal obstruction who underwent nasal surgery were enrolled. A pre- and postoperative 3-dimensional model was constructed, and alterations of airflow characteristics were assessed using the method of computational fluid dynamics. The other subjective and objective clinical indices were also assessed. <b><i>Results:</i></b> By comparison with the preoperative value, all postoperative subjective symptoms statistically improved (<i>p</i> &#x3c; 0.05), while the Apnea-Hypopnea Index (AHI) changed little (<i>p</i> = 0.492); the postoperative airflow velocity and pressure in both nasal and palatopharyngeal cavities, nasal and palatopharyngeal pressure differences, and total upper airway resistance statistically decreased (all <i>p</i> &#x3c; 0.01). A significant difference was derived for correlation between the alteration of simulation metrics with subjective improvements (<i>p</i> &#x3c; 0.05), except with the AHI (<i>p</i> &#x3e; 0.05). <b><i>Conclusion:</i></b> Nasal surgery can decrease the total resistance of the upper airway and increase the nasal airflow volume and subjective sleep quality in patients with OSA and nasal obstruction. The altered airflow characteristics might contribute to the postoperative reduction of pharyngeal collapse in a subset of OSA patients.

scholarly journals Do the turbinates play an important role in obstructive sleep apnea syndrome? – Our experience

2016 ◽  
Vol 6 (22) ◽  
pp. 93-98
Author(s):  
Nicoleta Dumitrescu ◽  
Raluca Enache ◽  
Codrut Sarafoleanu
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
Apnea Hypopnea Index ◽  
Nasal Airflow ◽  
Nasal Surgery ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
Apnea Syndrome

Abstract BACKGROUND. Nasal obstruction may trigger obstructive sleep apnea syndrome (OSAS) and it is considered to be a cofactor in its pathophysiology. However, the relation between cause and effect still remains a matter of debate. MATERIAL AND METHODS. 18 patients diagnosed with chronic hypertrophic rhinitis and obstructive sleep apnea syndrome were included in the present study. All patients underwent nasal surgery as the single treatment for their sleep breathing disorders. Rhinomanometric (total nasal airflow, logReff, logVR) and polygraphic parameters (apnea-hypopnea index - AHI, snore flags index – SFI) were evaluated pre- and 2 months postoperatively. RESULTS. There was a statistically significant difference between the values of the preoperative and postoperative total nasal airflow (p-value<0.0001). In case of AHI, there was a decrease in its value from 31.56 preoperatively to 30.03 postoperatively, but the difference was not statistically significant (p=0.937). The SFI, on the other hand, presented a significant decrease (p=0.05), from a mean value of 93.15 preoperatively to 56.02 after the surgery. The correlation of the total nasal airflow with AHI and SFI, revealed that nasal surgery had an important impact upon snoring characteristics (r=0.24) and less upon OSAS severity (r=0.21). CONCLUSION. The nasal cavity obstruction contributes less to OSAS, but still represents a disorder that needs to be corrected in case of such patients. Turbinates reduction surgery may be applied in the treatment of OSAS and combined with palate and/or tongue surgery.

scholarly journals The Nasal Obstruction Symptom Evaluation Survey as a Screening Tool for Obstructive Sleep Apnea

2011 ◽  
Vol 137 (2) ◽  
pp. 119 ◽  
Author(s):  
Lisa Ishii ◽  
Andres Godoy ◽  
Stacey L. Ishman ◽  
Christine G. Gourin ◽  
Masaru Ishii
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Nasal Obstruction ◽  
Screening Tool ◽  
Symptom Evaluation ◽  
Obstructive Sleep ◽  
Evaluation Survey

scholarly journals Comparison of Anterior Palatoplasty and Uvulopalatal Flap Placement for Treating Mild and Moderate Obstructive Sleep Apnea

2018 ◽  
Vol 97 (3) ◽  
pp. 69-78 ◽  
Author(s):  
Süheyl Haytoğlu ◽  
Osman Kürşat Arikan ◽  
Nuray Bayar Muluk ◽  
Birgül Tuhanioğlu ◽  
Mustafa Çörtük
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Apnea Syndrome ◽  
Apnea Hypopnea Index ◽  
Obstructive Sleep ◽  
Flap Procedure ◽  
Scale Scores ◽  
Vas Scores ◽  
The Difference ◽  
Anterior Palatoplasty

We prospectively compared the efficacy of anterior palatoplasty and the uvulopalatal flap procedure for the treatment of patients with mild and moderate obstructive sleep apnea syndrome (OSAS). Our study group was made up of 45 patients who had been randomly assigned to undergo one of the two procedures. Palatoplasty was performed on 22 patients—12 men and 10 women, aged 28 to 49 years (mean: 39.2)—and the flap procedure was performed on 23 patients—14 men and 9 women, aged 28 to 56 years (mean: 41.3). Our primary outcomes measure was the difference in pre- and postoperative apnea-hypopnea index (AHI) as determined by polysomnography at 6 months after surgery. Surgical success was observed in 18 of the 22 palatoplasty patients (81.8%) and in 19 of the 23 flap patients (82.6%). Compared with the preoperative values, mean AHIs declined from 17.5 to 8.1 in the former group and from 18.5 to 8.6 in the latter; the improvement in both groups was statistically significant (p < 0.001). In addition, significant postoperative improvements in both groups were seen in mean visual analog scale (VAS) scores for snoring, in Pittsburgh Sleep Quality Index values, and in Epworth Sleepiness Scale scores (p < 0.001 for all). VAS scores for pain at rest were significantly lower in the palatoplasty group than in the flap group at 2, 4, and 8 hours postoperatively and on postoperative days 4 through 7 (p < 0.002). Likewise, VAS scores for pain during swallowing were significantly lower in the palatoplasty group at 2, 4, 8, and 16 hours and on days 4 through 7 (p < 0.009). We conclude that both anterior palatoplasty and uvulopalatal flap procedures are effective for the treatment of mild and moderate OSAS in patients with retropalatal obstruction. However, our comparison of postoperative pain scores revealed that anterior palatoplasty was associated with significantly less morbidity.

Clinical Predictors of Pediatric Obstructive Sleep Apnea Syndrome

2018 ◽  
Vol 127 (9) ◽  
pp. 608-613 ◽  
Author(s):  
Chi-Chih Lai ◽  
Pei-Wen Lin ◽  
Hsin-Ching Lin ◽  
Michael Friedman ◽  
Hsueh-Wen Chang ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Nasal Obstruction ◽  
Linear Regression Analysis ◽  
Mouth Breathing ◽  
Apnea Hypopnea Index ◽  
Physical Factors ◽  
Z Score ◽  
Adequate Model ◽  
Obstructive Sleep

Objective: To develop an adequate model using reliable clinical and physical factors to predict pediatric obstructive sleep apnea/hypopnea syndrome (OSAS). Methods: Complete anthropometric measurements including BMI z score, tonsil size grading, and updated Friedman tongue position (uFTP) were evaluated. Subjective assessments of clinical symptoms/signs, including snoring visual analog scale (VAS), nasal obstruction, and mouth breathing, were recorded. Results: Eighty-eight children (57 boys and 31 girls, mean age = 9.0 years) were confirmed to have OSAS by comprehensive polysomnography (PSG). When the aforementioned variables were analyzed individually, the results indicated that snoring VAS, nasal obstruction, mouth breathing, and BMI z score were reliable predictors of apnea/hypopnea index (AHI/h) values (correlation coefficient r = 0.386, P < .001; r = 0.416, P < .001; r = 0.255, P = .02; and r = 0.243, P = .02, respectively). When all significant factors were included in the stepwise multiple linear regression analysis, the final predictive model is: Pediatric AHI = 0.108 + 0.103 snoring VAS + 0.894 nasal obstruction + 0.207 BMI z score ( F = 4.06, P = .01). Conclusion: The proposed noninvasive, simple, inexpensive, and easy to perform screening tool could be used to predict pediatric OSAS. An abnormal calculated AHI may prompt clinical physicians to conduct further PSG diagnostics and treatment.

Improvement in Obstructive Sleep Apnea (OSA) in Super Morbidly Obese Patients After Bariatric Surgery

2020 ◽  
Vol 103 (8) ◽  
pp. 725-728
Keyword(s):  
Bariatric Surgery ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Lifestyle Modification ◽  
Apnea Hypopnea Index ◽  
Morbidly Obese ◽  
Obese Patients ◽  
Obstructive Sleep ◽  
Objective Evidence

Background: Lifestyle modification is the mainstay therapy for obese patients with obstructive sleep apnea (OSA). However, most of these patients are unable to lose the necessary weight, and bariatric surgery (BS) has been proven to be an effective modality in selected cases. Objective: To provide objective evidence that BS can improve OSA severity. Materials and Methods: A prospective study was conducted in super morbidly obese patients (body mass index [BMI] greater than 40 kg/m² or BMI greater than 35 kg/m² with uncontrolled comorbidities) scheduled for BS. Polysomnography (PSG) was performed for preoperative assessment and OSA was treated accordingly. After successful surgery, patients were invited to perform follow-up PSG at 3, 6, and 12 months. Results: Twenty-four patients with a mean age of 35.0±14.0 years were enrolled. After a mean follow-up period of 7.8±3.4 months, the mean BMI, Epworth sleepiness scale (ESS), and apnea-hypopnea index (AHI) significantly decreased from 51.6±8.7 to 38.2±6.8 kg/m² (p<0.001), from 8.7±5.9 to 4.7±3.5 (p=0.003), and from 87.6±38.9 to 28.5±21.5 events/hour (p<0.001), respectively. Conclusion: BS was shown to dramatically improve clinical and sleep parameters in super morbidly obese patients. Keywords: Morbid obesity, Bariatric surgery, Obstructive sleep apnea (OSA)

scholarly journals High Plasma Cystine Levels Are Associated with Blood Pressure and Reversed by CPAP in Patients with Obstructive Sleep Apnea

2021 ◽  
Vol 10 (7) ◽  
pp. 1387
Author(s):  
Raphael Boneberg ◽  
Anita Pardun ◽  
Lena Hannemann ◽  
Olaf Hildebrandt ◽  
Ulrich Koehler ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Mononuclear Cells ◽  
Vascular Risk Factor ◽  
High Plasma ◽  
Apnea Hypopnea Index ◽  
Hypoxic Stress ◽  
Peripheral Blood Mononuclear ◽  
Obstructive Sleep

Obstructive sleep apnea (OSA) independent of obesity (OBS) imposes severe cardiovascular risk. To what extent plasma cystine concentration (CySS), a novel pro-oxidative vascular risk factor, is increased in OSA with or without OBS is presently unknown. We therefore studied CySS together with the redox state and precursor amino acids of glutathione (GSH) in peripheral blood mononuclear cells (PBMC) in untreated male patients with OSA (apnea-hypopnea-index (AHI) > 15 h−1, n = 28) compared to healthy male controls (n = 25) stratifying for BMI ≥ or < 30 kg m−2. Fifteen OSA patients were reassessed after 3–5-months CPAP. CySS correlated with cumulative time at an O2-saturation <90% (Tu90%) (r = 0.34, p < 0.05) beside BMI (r = 0.58, p < 0.001) and was higher in subjects with “hypoxic stress” (59.4 ± 2.0 vs. 50.1 ± 2.7 µM, p < 0.01) defined as Tu90% ≥ 15.2 min (corresponding to AHI ≥ 15 h−1). Moreover, CySS significantly correlated with systolic (r = 0.32, p < 0.05) and diastolic (r = 0.31, p < 0.05) blood pressure. CPAP significantly lowered CySS along with blood pressure at unchanged BMI. Unexpectedly, GSH antioxidant capacity in PBMC was increased with OSA and reversed with CPAP. Plasma CySS levels are increased with OSA-related hypoxic stress and associated with higher blood pressure. CPAP decreases both CySS and blood pressure. The role of CySS in OSA-related vascular endpoints and their prevention by CPAP warrants further studies.

scholarly journals Altered K-complex morphology during sustained inspiratory airflow limitation is associated with next-day lapses in vigilance in obstructive sleep apnea

SLEEP ◽  
2021 ◽  
Author(s):  
Ankit Parekh ◽  
Korey Kam ◽  
Anna E Mullins ◽  
Bresne Castillo ◽  
Asem Berkalieva ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Spectral Characteristics ◽  
Sleep Time ◽  
Airflow Limitation ◽  
Apnea Hypopnea Index ◽  
Complex Morphology ◽  
Obstructive Sleep ◽  
Inspiratory Airflow Limitation ◽  
Psychomotor Vigilance

Abstract Study Objectives Determine if changes in K-complexes associated with sustained inspiratory airflow limitation (SIFL) during N2 sleep are associated with next-day vigilance and objective sleepiness. Methods Data from thirty subjects with moderate-to-severe obstructive sleep apnea who completed three in-lab polysomnograms: diagnostic, on therapeutic continuous positive airway pressure (CPAP), and on suboptimal CPAP (4 cmH2O below optimal titrated CPAP level) were analyzed. Four 20-min psychomotor vigilance tests (PVT) were performed after each PSG, every 2 h. Changes in the proportion of spontaneous K-complexes and spectral characteristics surrounding K-complexes were evaluated for K-complexes associated with both delta (∆SWAK), alpha (∆αK) frequencies. Results Suboptimal CPAP induced SIFL (14.7 (20.9) vs 2.9 (9.2); %total sleep time, p &lt; 0.001) with a small increase in apnea–hypopnea index (AHI3A: 6.5 (7.7) vs 1.9 (2.3); p &lt; 0.01) versus optimal CPAP. K-complex density (num./min of stage N2) was higher on suboptimal CPAP (0.97 ± 0.7 vs 0.65±0.5, #/min, mean ± SD, p &lt; 0.01) above and beyond the effect of age, sex, AHI3A, and duration of SIFL. A decrease in ∆SWAK with suboptimal CPAP was associated with increased PVT lapses and explained 17% of additional variance in PVT lapses. Within-night during suboptimal CPAP K-complexes appeared to alternate between promoting sleep and as arousal surrogates. Electroencephalographic changes were not associated with objective sleepiness. Conclusions Sustained inspiratory airflow limitation is associated with altered K-complex morphology including the increased occurrence of K-complexes with bursts of alpha as arousal surrogates. These findings suggest that sustained inspiratory flow limitation may be associated with nonvisible sleep fragmentation and contribute to increased lapses in vigilance.

scholarly journals Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study

2021 ◽  
Author(s):  
Satoru Tsuiki ◽  
Takuya Nagaoka ◽  
Tatsuya Fukuda ◽  
Yuki Sakamoto ◽  
Fernanda R. Almeida ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Convolutional Neural Network ◽  
Deep Convolutional Neural Network ◽  
Apnea Hypopnea Index ◽  
Cephalometric Analysis ◽  
Obstructive Sleep ◽  
Main Region

Abstract Purpose In 2-dimensional lateral cephalometric radiographs, patients with severe obstructive sleep apnea (OSA) exhibit a more crowded oropharynx in comparison with non-OSA. We tested the hypothesis that machine learning, an application of artificial intelligence (AI), could be used to detect patients with severe OSA based on 2-dimensional images. Methods A deep convolutional neural network was developed (n = 1258; 90%) and tested (n = 131; 10%) using data from 1389 (100%) lateral cephalometric radiographs obtained from individuals diagnosed with severe OSA (n = 867; apnea hypopnea index > 30 events/h sleep) or non-OSA (n = 522; apnea hypopnea index < 5 events/h sleep) at a single center for sleep disorders. Three kinds of data sets were prepared by changing the area of interest using a single image: the original image without any modification (full image), an image containing a facial profile, upper airway, and craniofacial soft/hard tissues (main region), and an image containing part of the occipital region (head only). A radiologist also performed a conventional manual cephalometric analysis of the full image for comparison. Results The sensitivity/specificity was 0.87/0.82 for full image, 0.88/0.75 for main region, 0.71/0.63 for head only, and 0.54/0.80 for the manual analysis. The area under the receiver-operating characteristic curve was the highest for main region 0.92, for full image 0.89, for head only 0.70, and for manual cephalometric analysis 0.75. Conclusions A deep convolutional neural network identified individuals with severe OSA with high accuracy. Future research on this concept using AI and images can be further encouraged when discussing triage of OSA.

Sign in / Sign up

Export Citation Format

Share Document