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

<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.

2016 ◽  
Vol 6 (22) ◽  
pp. 93-98
Author(s):  
Nicoleta Dumitrescu ◽  
Raluca Enache ◽  
Codrut Sarafoleanu

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.


2020 ◽  
Author(s):  
Ayse Didem Esen ◽  
Meltem Akpinar

Abstract Background The data concerning the association of smoking and obstructive sleep apnea (OSA) are limited. The effects of cigarette smoking on OSA still remain obscure. Objectives To reveal the impact of smoking on obstructive sleep apnea. Methods About 384 patients with the diagnosis of OSA through full night polysomnographic (PSG) examination were included to the study. The demographic data (age, sex and BMI), complaints and medical history, status of smoking as non-smokers and smokers, smoking frequency (cigarettes/day), polysomnograhic data comprising apnea hypopnea index (AHI), non-REM sleep AHI (NREM AHI), REM sleep AHI (REM AHI), minimum oxygen saturation (min SaO2) were recorded for all the subjects. Non-smokers and smokers were compared in terms of severity of OSA. Results The study population consisted of 384 subjects, 253 males and 131 females. Smoking frequency was not found correlated with OSA severity. Among smokers, males had higher severe OSA rate (P = 0.002, P &lt; 0.05). In subjects with BMI &lt; 30, severe OSA rate was higher in smokers (34.44% versus 21%) (P = 0.027, P &lt; 0.05). Conclusions Our study detected higher rate of severe OSA in male smokers and smokers with BMI &lt; 30. PSG data did not yield statistically significant difference in non-smokers and smokers. OSA severity was not found correlated with smoking frequency. Along with the study results, the impact of smoking on OSA is still controversial. Prospective studies with larger sample size may be contributive to further evaluation of the association of OSA with smoking.


2018 ◽  
Vol 6 (9) ◽  
pp. 1617-1621 ◽  
Author(s):  
Zohreh Kahramfar ◽  
Besharat Rahimi

BACKGROUND: Obstructive sleep apnea (OSA) is characterised by recurrence in upper airway obstruction during sleep. AIM: This study aimed to compare the predictive values of the Epworth Sleepiness Scale (ESS) and STOP-BANG in the desaturation of patients with mild to moderate obstructive apnea based on the apnea-hypopnea index (AHI) scale. METHODS: A group of 79 patients (43 male and 36 female) were selected. The suspected patients were introduced to the sleep clinic, and the ESS and STOP-BANG questionnaires were filled up, then subjected to polysomnography test, and the scores of the disease were also determined based on an apnoea-hypopnoea index (AHI). Finally, the desaturation rate (SO2 < 3% based on the baseline) and desaturation index were determined in patients. Consequently, the finding was compared with the results of the questionnaires. RESULTS: Patients with STOP-BANG score above 3 had significantly higher weight, oxygen desaturation index (ODI) index and average desatu, while peripheral capillary oxygen saturation (SpO2) base and average SpO2 were lower than those with scores below 3 (P < 0.05). However, there was no significant difference between the patients with the ESS questionnaire score above 10 and below 10 (P > 0.05). CONCLUSION: The results of these two questionnaires reflect the unsaturated oxygen index in the blood, and can be considered for the evaluation of the severity of the disease.


2021 ◽  
Vol 10 (13) ◽  
pp. 2880
Author(s):  
Clemens Heiser ◽  
Armin Steffen ◽  
Benedikt Hofauer ◽  
Reena Mehra ◽  
Patrick J. Strollo ◽  
...  

Background: Several single-arm prospective studies have demonstrated the safety and effectiveness of upper airway stimulation (UAS) for obstructive sleep apnea. There is limited evidence from randomized, controlled trials of the therapy benefit in terms of OSA burden and its symptoms. Methods: We conducted a multicenter, double-blinded, randomized, sham-controlled, crossover trial to examine the effect of therapeutic stimulation (Stim) versus sham stimulation (Sham) on the apnea-hypopnea index (AHI) and the Epworth Sleepiness Scale (ESS). We also examined the Functional Outcomes of Sleep Questionnaire (FOSQ) on sleep architecture. We analyzed crossover outcome measures after two weeks using repeated measures models controlling for treatment order. Results: The study randomized 89 participants 1:1 to Stim (45) versus Sham (44). After one week, the AHI response rate was 76.7% with Stim and 29.5% with Sham, a difference of 47.2% (95% CI: 24.4 to 64.9, p < 0.001) between the two groups. Similarly, ESS was 7.5 ± 4.9 with Stim and 12.0 ± 4.3 with Sham, with a significant difference of 4.6 (95% CI: 3.1 to 6.1) between the two groups. The crossover phase showed no carryover effect. Among 86 participants who completed both phases, the treatment difference between Stim vs. Sham for AHI was −15.5 (95% CI −18.3 to −12.8), for ESS it was −3.3 (95% CI −4.4 to −2.2), and for FOSQ it was 2.1 (95% CI 1.4 to 2.8). UAS effectively treated both REM and NREM sleep disordered breathing. Conclusions: In comparison with sham stimulation, therapeutic UAS reduced OSA severity, sleepiness symptoms, and improved quality of life among participants with moderate-to-severe OSA.


Author(s):  
Goutham Mylavarapu ◽  
Ephraim Gutmark ◽  
Sally Shott ◽  
Robert J. Fleck ◽  
Mohamed Mahmoud ◽  
...  

Surgical treatment of obstructive sleep apnea (OSA) in children requires knowledge of upper airway dynamics, including the closing pressure (Pcrit), a measure of airway collapsibility. We applied a Flow-Structure Interaction (FSI) computational model to estimate Pcrit in patient-specific upper airway models obtained from magnetic resonance imaging (MRI) scans. We sought to examine the agreement between measured and estimated Pcrit from FSI models in children with Down syndrome. We hypothesized that the estimated Pcrit would accurately reflect measured Pcrit during sleep and therefore reflect the severity of OSA as measured by the obstructive apnea hypopnea index (AHI). All participants (n=41) underwent polysomnography and sedated sleep MRI scans. We used Bland Altman Plots to examine the agreement between measured and estimated Pcrit. We determined associations between estimated Pcrit and OSA severity, as measured by AHI, using regression models. The agreement between passive and estimated Pcrit showed a fixed bias of -1.31 (CI=-2.78, 0.15) and a non-significant proportional bias. A weaker agreement with active Pcrit was observed. A model including AHI, gender, an interaction term for AHI and gender and neck circumference explained the largest variation (R2 = 0.61) in the relationship between AHI and estimated Pcrit. (P <0.0001). Overlap between the areas of the airway with lowest stiffness, and areas of collapse on dynamic MRI, was 77.4%±30% for the nasopharyngeal region and 78.6%±33% for the retroglossal region. The agreement between measured and estimated Pcrit and the significant association with AHI supports the validity of Pcrit estimates from the FSI model.


Author(s):  
Carlos Mena Canata ◽  
Rebeca Noemí Ruiz Vallejos

The objective of this study is to determine the impact of adenotonsillectomy on the quality of life of postoperative patients.The study is observational, cross-sectional, and retrospective. The files of all postoperative adenotonsillectomy patients in Otorhinolaryngology Service, Hospital de Clínicas, San Lorenzo Paraguay. The Obstructive sleep apnea – 18 questionnaire (OSA 18) was applied, asking patients about symptoms before and after surgery. An effective sample of 143 postoperative patients was obtained. The average age was 6.05 ± 2.08 years, 55.10% (81) were male and 44.89% (66) were female, 65.30% (96) were from urban areas and 34.69% (51) from the rural areas. The t test was performed for means of two paired samples, comparing the results of the Obstructive sleep apnea – 18 questionnaire surveys before and after surgery which presented a significant difference (p <0.05) with a tendency to improve the quality of life after surgery. It has been shown that there is a significant difference, a considerable improvement in the quality of life of patients after adenotonsillectomy.


2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Forogh Soltaninejad ◽  
Negarsadat Neshat ◽  
Mehrzad Salmasi ◽  
Babak Amra

Background: Severe obstructive sleep apnea (OSA), defined by apnea-hypopnea index (AHI) as more than 30 events per hour, was previously related to more comorbidity. However, limited studies separated the patients with AHI > 100 from those with a less severe manifestation of the disease. Objectives: The current study aimed at describing the characteristics of this subgroup and comparing them with less severe conditions. Methods: A retrospective analysis was conducted on 114 patients with OSA. Nocturnal polysomnography was used to diagnose severe OSA. Patients were categorized into two groups: (1) 60 < AHI < 100 (very severe OSA), (2) AHI ≥ 100 (extreme OSA). Demographic, medical history, and polysomnographic variables were evaluated and compared between the two groups. Results: Extreme OSA was diagnosed in 19 patients, the mean body mass index (BMI) was significantly higher in this group (39.26 ± 5.93 vs. 35.68 ± 6.45 kg/m2, P = 0.025). They also had lower minimal O2 saturation (65.68 ± 10.16 vs. 74.10 ± 8.74, P = 0.003) and more time with < 90% O2 saturation (T < 90%) (81.78 ± 22.57 vs. 58.87 ± 33.14, P = 0.01). OHS prevalence was significantly higher in the group with extreme OSA (P = 0.04). The most frequent comorbidity was hypertension, with an incidence of 60.5%, for the extreme group, although there was no significant difference between the two groups in terms of clinical associations. Conclusions: The current study results suggested that greater BMI and lower minimal O2 saturation, as well as increased T < 90%, were associated with extreme OSA, although no differences were observed in the associated diseases between the compared groups.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Krishan Patel ◽  
Hussain Basrawala ◽  
Pavan Reddy ◽  
Edwin Valladares ◽  
Vincent Grbach ◽  
...  

Introduction: Obstructive sleep apnea (OSA) is associated with increased rates of atrial fibrillation (AF). Recent randomized data suggest that traditional scoring of OSA needs to evolve to improve cardiovascular outcomes. Traditional scoring of OSA does not fully reflect pathophysiological links between OSA and AF, particularly regarding OSA-induced prolongation of p-wave duration (PWD), which is the most powerful predictor of AF occurrence. Hypothesis: We hypothesized that OSA episodes that closely follow each other (serially stacked apneas, ssOSA) exert greater effect on PWD compared to isolated OSA (iOSA) episodes. Methods: Sleeping patients (adults with mild-moderate OSA and presence of both iOSA and ssOSA, but without other cardiovascular comorbidities) undergoing diagnostic polysomnography were recorded by continuous 8-lead ECG. iOSA was defined as OSA episodes with no other episode within 30 seconds. ssOSA consisted of ≥3 consecutive apneas with inter-OSA intervals <30 seconds. PWD was defined from onset of p-wave in any ECG lead to termination in any lead (measured by digital calipers, averaged over 3 beats from first half of OSA and 3 beats from second half of OSA). Wilcoxon rank-sum test was used. Results: We analyzed 208 OSA episodes (51.0% iOSA, 49.0% ssOSA) which occurred in 12 patients (7 women; age 63.1±11.5 years; apnea hypopnea index 16.8±5.4). PWD was longer during ssOSA compared to iOSA (median 117.7ms vs 109.6ms; p<0.0001). The following variables did not differ between ssOSA and iOSA: PR interval (p=0.3139), RR interval (p=0.7531), peripheral oxygen saturation (p=0.7776). Conclusions: The impact of OSA on atrial conduction delay is exacerbated by the phenomenon of OSA stacking, which seems independent of oxygen desaturation and heart rate. Stacking of OSA episodes may be an underused and cost-efficient variable in evaluating the severity of OSA and the effectiveness of OSA treatments with the ultimate goal of reducing occurrence of AF.


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