scholarly journals Impact of upper airway configuration assessed by CT on CPAP titration in OSA patients during Müller's maneuver

2019 ◽  
Author(s):  
Qichang Lin ◽  
Han-Sheng Xie ◽  
Jie-feng Huang ◽  
Jian-Ming Zhao ◽  
Ai-Ming Zeng ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Upper Airway ◽  
Apnea Hypopnea Index ◽  
Regression Analyses ◽  
Anthropometric Parameters ◽  
Airway Anatomy ◽  
Cpap Titration ◽  
Obstructive Sleep ◽  
Muller’S Maneuver

Abstract Objectives Continuous positive airway pressure (CPAP) is the current gold-standard treatment for moderate to severe obstructive sleep apnea (OSA), and upper airway anatomy plays an increasingly important role in evaluating the efficacy of CPAP therapy. The aim of this observational study was to investigate the influence of upper airway anatomy on CPAP titration in OSA patients assessed by computed tomography (CT) during Müller's maneuver. Methods Consecutive patients under investigation for OSA by undergoing polysomnography and CT scan of the upper airway while awake were enrolled. Successful full-night manual titration was performed to determine the optimal CPAP pressure level for OSA patients in supine position using a nasal mask. Results A total of 157 subjects (134 males and 23 females) were included. Both apnea–hypopnea index (AHI) and LaSO2 significantly correlated with CPAP titration level, upper airway length (UAL), distance from mandibular plane to hyoid bone (MPH), and neck circumference (all p<0.05). There were significant positive correlations between CPAP titration level and UAL (r=0.348, p=0.000) and MPH (r=0.313, p=0.002). Stepwise multiple linear regression analyses were performed to evaluate the independent predictors of AHI, LaSO2, and CPAP titration level. CPAP titration level was identified as an independent explanatory variable for AHI and LaSO2 after adjustment for confounders. Multiple linear regression analyses also indicated that body mass index (BMI) and UAL were independently associated with CPAP titration level (all p<0.05). Conclusions Upper airway abnormalities combined with anthropometric parameters play important roles in CPAP titration for OSA patients, providing additional insight into the factors influencing OSA treatment strategies. UAL and BMI should be taken into consideration when choosing CPAP titration level to improve CPAP compliance.

scholarly journals An assessment of a simple clinical technique to estimate pharyngeal collapsibility in people with obstructive sleep apnea

SLEEP ◽  
2020 ◽  
Vol 43 (10) ◽  
Author(s):  
Amal M Osman ◽  
Benjamin K Tong ◽  
Shane A Landry ◽  
Bradley A Edwards ◽  
Simon A Joosten ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Characteristic Curve ◽  
Upper Airway ◽  
Clinical Intervention ◽  
Apnea Hypopnea Index ◽  
Cpap Titration ◽  
Obstructive Sleep ◽  
Airway Collapsibility ◽  
Upper Airway Collapsibility

Abstract Study Objectives Quantification of upper airway collapsibility in obstructive sleep apnea (OSA) could help inform targeted therapy decisions. However, current techniques are clinically impractical. The primary aim of this study was to assess if a simple, novel technique could be implemented as part of a continuous positive airway pressure (CPAP) titration study to assess pharyngeal collapsibility. Methods A total of 35 participants (15 female) with OSA (mean ± SD apnea–hypopnea index = 35 ± 19 events/h) were studied. Participants first completed a simple clinical intervention during a routine CPAP titration, where CPAP was transiently turned off from the therapeutic pressure for ≤5 breaths/efforts on ≥5 occasions during stable non-rapid eye movement (non-REM) sleep for quantitative assessment of airflow responses (%peak inspiratory flow [PIF] from preceding 5 breaths). Participants then underwent an overnight physiology study to determine the pharyngeal critical closing pressure (Pcrit) and repeat transient drops to zero CPAP to assess airflow response reproducibility. Results Mean PIF of breaths 3–5 during zero CPAP on the simple clinical intervention versus the physiology night were similar (34 ± 29% vs. 28 ± 30% on therapeutic CPAP, p = 0.2; range 0%–90% vs. 0%–95%). Pcrit was −1.0 ± 2.5 cmH2O (range −6 to 5 cmH2O). Mean PIF during zero CPAP on the simple clinical intervention and the physiology night correlated with Pcrit (r = −0.7 and −0.9, respectively, p &lt; 0.0001). Receiver operating characteristic curve analysis indicated significant diagnostic utility for the simple intervention to predict Pcrit &lt; −2 and &lt; 0 cmH2O (AUC = 0.81 and 0.92), respectively. Conclusions A simple CPAP intervention can successfully discriminate between patients with and without mild to moderately collapsible pharyngeal airways. This scalable approach may help select individuals most likely to respond to non-CPAP therapies.

scholarly journals 1057 Evaluating Differences In Upper Airway Anatomy Between Diabetic And Non-diabetic OSA Patients

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A401-A402
Author(s):  
N Ihemeremadu ◽  
N Lavi-Romer ◽  
Y Zang ◽  
B Keenan ◽  
R Schwab
Keyword(s):  
Sleep Apnea ◽  
Soft Tissue ◽  
Soft Tissues ◽  
Three Dimensional ◽  
Upper Airway ◽  
Apnea Hypopnea Index ◽  
Diabetic Patients ◽  
Linear Regression Models ◽  
Airway Anatomy ◽  
Obstructive Sleep

Abstract Introduction Studies show that OSA is linked to impaired glucose tolerance, insulin resistance, and the onset of diabetes. We hypothesized that diabetic OSA patients will have higher apnea-hypopnea index (AHI) values than OSA patients without diabetes after adjusting for age and body mass index (BMI) and that this difference can be explained through increases in upper airway structures between diabetic and non-diabetic OSA patients. Methods This study evaluated differences in upper airway and craniofacial dimensions and volume of the pharyngeal soft tissues between diabetic and non-diabetic patients with obstructive sleep apnea (OSA) using magnetic resonance imaging (MRI). Airway sizes, soft tissue volumes and craniofacial dimensions were quantified using three-dimensional MRI in OSA patients without diabetes (n=237) and OSA patients with diabetes (n=64). Comparisons in upper airway measures among diabetics and non-diabetics were performed using linear regression models controlling for age, sex, BMI, race, and AHI. Results Among study participants, diabetic OSA patients were older than non-diabetic OSA patients (54.2±10.1 vs. 47.3±11.1 years; p&lt;0.0001). No significant differences were found between diabetic and non-diabetic OSA patients with respect to BMI (39.8±7.0 vs. 38.4±8.8 kg/m2; p=0.207) or AHI (45.0±31.0 vs. 38.8±27.8 events/hour; p=0.154). In covariate adjusted models, non-diabetic OSA patients also had smaller RP minimum airway area (adjusted difference [95% CI] = -3119 [-5359, 879] mm2; p=0.0066) and RP minimum AP distance (-16.0 mm [-29.6, -2.5]; p=0.021) compared to diabetic OSA patients. No differences were observed in soft tissue volumes or craniofacial dimensions. Conclusion While diabetics had higher average AHI, we observed no significant differences in AHI between diabetic and non-diabetic patients with sleep apnea. In general, upper airway anatomy was similar between diabetic and non-diabetics apneics, controlling for demographic factors and AHI. Future studies should examine dynamic changes, in addition to static upper airway anatomy, in diabetic and non-diabetics apneics. Support  

Clinical Protocol in the Multidisciplinary Setting

2021 ◽  
pp. 65-82
Author(s):  
Jonathan Waxman ◽  
Kerolos Shenouda ◽  
Ho-sheng Lin ◽  
Safwan Badr
Keyword(s):  
Physical Examination ◽  
Upper Airway ◽  
Apnea Hypopnea Index ◽  
Drug Induced ◽  
Upper Airway Stimulation ◽  
Airway Narrowing ◽  
Airway Anatomy ◽  
Airway Collapse ◽  
Upper Airway Collapse ◽  
Obstructive Sleep

This chapter describes a presurgical protocol for patients with moderate to severe obstructive sleep apnea (OSA) who plan to undergo treatment with upper airway stimulation (UAStim). Patients must receive an initial evaluation including a medical and sleep history and physical examination focused on characteristics suggestive of upper airway narrowing. Criteria related to UAStim therapy and possible exclusion from implantation may be considered at this point. Some patients may be referred to a sleep specialist, but all must undergo in-laboratory or at-home polysomnography to diagnose OSA. Following an OSA diagnosis, treatment with continuous or auto-titrating positive airway pressure should be initiated. Unfortunately, CPAP adherence is low, and while there are several nonsurgical alternatives, many patients who are unable or unwilling to use CPAP will seek surgical treatment. Patients who are referred to otolaryngology for evaluation for UAStim therapy should undergo a medical and sleep history and physical examination including flexible fiberoptic laryngoscopy to evaluate upper airway anatomy. Patients must next undergo drug-induced sleep endoscopy (DISE), during which the upper airway is directly visualized in the operating room with fiberoptic endoscopy under sedation. The most common classification system to describe the location and pattern of upper airway collapse observed during DISE is the Velum, Oropharyngeal walls, Tonsils, Epiglottis (VOTE) system. Patients older than 22 years of age, with an apnea–hypopnea index between 15 and 64 (with central/mixed apneas <25% of the total), a body mass index <32 m/kg2, and without palatal complete concentric collapse may be offered UAStim treatment.

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.

Predicting critical closing pressure in children with obstructive sleep apnea using fluid structure interaction simulations

2021 ◽  
Author(s):  
Goutham Mylavarapu ◽  
Ephraim Gutmark ◽  
Sally Shott ◽  
Robert J. Fleck ◽  
Mohamed Mahmoud ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Upper Airway ◽  
Dynamic Mri ◽  
Patient Specific ◽  
Apnea Hypopnea Index ◽  
Structure Interaction ◽  
Obstructive Sleep ◽  
Mri Scans ◽  
Closing Pressure

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.

scholarly journals Thyroid Function Changes and Pubertal Progress in Females: A Longitudinal Study in Iodine-Sufficient Areas of East China

2021 ◽  
Vol 12 ◽  
Author(s):  
Yingying Wang ◽  
Dandan He ◽  
Chaowei Fu ◽  
Xiaolian Dong ◽  
Feng Jiang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Thyroid Function ◽  
Pubertal Development ◽  
Thyroid Stimulating Hormone ◽  
East China ◽  
Regression Analyses ◽  
Free Triiodothyronine ◽  
Serum Tsh

BackgroundThe onset of puberty is influenced by thyroid function, and thyroid hormones (THs) fluctuate substantially during the period of pubertal development. However, it needs to be further clarified how THs change at specific puberty stages and how it influences pubertal development in girls. So far, longitudinal data from China are scarce.MethodsA cohort study was conducted among girls during puberty in iodine-sufficient regions of East China between 2017 to 2019. Serum thyroid stimulating hormone (TSH), free triiodothyronine (FT3), and free thyroxine (FT4) were determined for each participant. Thyroid homeostasis structure parameters (THSPs), including the ratio of FT4 to FT3 (FT4/FT3), Jostel’s TSH index (TSHI), and thyroid feedback quantile-based index (TFQI), were calculated. Puberty category scores (PCS), calculated based on the Puberty Development Scale (PDS), was used to assess the stage of puberty. Girls were grouped into three categories according to PCS changes (△PCS) and six categories according puberty stage (BPFP: pre-pubertal at both baseline and follow-up; BPFL: pre-pubertal at baseline and late-pubertal at follow-up, respectively; BPFT: pre-pubertal at baseline and post-pubertal at follow-up, respectively; BLFL: late-pubertal at both baseline and follow-up; BLFT: late-pubertal at baseline and post-pubertal at follow-up, respectively; BTFT: post-pubertal at both baseline and follow-up). Multiple linear regression analyses were used to evaluate the associations of THs changes with pubertal progress.ResultsThe levels of serum TSH and FT3 decreased while serum FT4 increased during the study period (P&lt;0.001). In multiple linear regression analyses, after adjustment for covariables, FT3 decreased by an additional 0.24 pmol/L (95% CI: -0.47 to -0.01) in the higher △PCS group than the lower △PCS group. Compared with the BLFL group, the BPFT group showed an additional decline in FT3 (β= -0.39 pmol/L, 95%CI: -0.73 to -0.04), the BTFT group showed a lower decline in TSH (β=0.50 mU/L, 95% CI: 0.21 to 0.80) and a lower decline in TSHI (β=0.24, 95%CI: 0.06 to 0.41), respectively. There was no association of △FT4 or △TFQI with △PCS or the puberty pattern.ConclusionsSerum TSH and FT3 decreased while serum FT4 increased among girls during puberty. Both the initial stage and the velocity of pubertal development were related to thyroid hormone fluctuations.

433 Insomnia and Restless Legs Syndrome in Patients with Upper Airway Stimulation Therapy

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A171-A172
Author(s):  
Mohammed Jomha ◽  
Shalini Manchanda ◽  
Stephanie Stahl ◽  
Noah Parker
Keyword(s):  
Restless Legs Syndrome ◽  
Statistical Significance ◽  
Upper Airway ◽  
Post Treatment ◽  
Apnea Hypopnea Index ◽  
Upper Airway Stimulation ◽  
Therapy Adherence ◽  
Restless Legs ◽  
Obstructive Sleep ◽  
Pre Treatment

Abstract Introduction Insomnia and restless legs syndrome (RLS) are common sleep disorders that may impact obstructive sleep apnea (OSA) treatment. To our knowledge, no studies have investigated whether these comorbidities affect upper airway stimulation (UAS) therapy adherence and outcomes. This study aims to explore possible effects of insomnia and RLS in patients using UAS therapy. Methods All patients who underwent UAS system implantation for treatment of OSA at our facility were retrospectively studied. Pre- and post-implant histories and data, including diagnostic sleep testing, otolaryngology evaluation, activation results, and treatment evaluation, were analyzed. Patients with no insomnia or RLS were compared to patients with insomnia, RLS, or both. Apnea-hypopnea index (AHI), Epworth Sleepiness Scale (ESS), and adherence were compared pre- and post-treatment for each group. Results Sixty-four patients who have undergone UAS implantation at our center have completed post-treatment in-lab titration and evaluation of their UAS system. Insomnia was present in 47%, RLS in 28%, and both insomnia and RLS in 14%. In all groups, the overall AHI during in-lab titration was &gt;50% lower than the pre-treatment AHI (16.1+/-14.3/h vs 32.5+/-13.1/h, p&lt;0.001). While the trend in AHI reductions suggested a lower AHI in those without insomnia or RLS, the reduction did not reach statistical significance (no insomnia or RLS 15.7+/-12.9/h, insomnia 16.9+/-16.7/h, RLS 19.0+/-15.5/h, both insomnia and RLS 23.4+/-18.4/h). UAS therapy usage was reduced in patients with RLS (3.9+/-2.6 h/night, p=0.029) and in patients with both insomnia and RLS (3.9+/-1.3 h/night, p=0.046) compared to patients with neither comorbidity (5.9+/-1.9 h/night). Mean reduction in ESS was similar across groups, averaging from 11+/-5 pre-treatment to 7+/-5 post-treatment (p&lt;0.001). Conclusion Insomnia and RLS are common in patients using UAS therapy for OSA. Pre- and post-treatment residual AHI and ESS significantly improved in all patient groups assessed. A decrease in UAS usage was present in patients with RLS and both RLS and insomnia. Our study suggests that identification and treatment of RLS and insomnia may play an important role for UAS therapy adherence and efficacy, thus, optimizing care. Support (if any):

Upper Airway Effective Compliance during Wakefulness and Sleep in Obese Adolescents Studied via 2-Dimensional Dynamic MRI and Semi-automated Image Segmentation

2021 ◽  
Author(s):  
Kok Ren Choy ◽  
Sanghun Sin ◽  
Yubing Tong ◽  
Jayaram K. Udupa ◽  
Dirk M. Luchtenburg ◽  
...  
Keyword(s):  
Upper Airway ◽  
Dynamic Mri ◽  
Cross Sectional Area ◽  
Apnea Hypopnea Index ◽  
Morphological Operations ◽  
Sectional Area ◽  
Cross Sectional ◽  
Automated Method ◽  
Obstructive Sleep ◽  
Effective Compliance

Novel biomarkers of upper airway biomechanics may improve diagnosis of Obstructive Sleep Apnea Syndrome (OSAS). Upper airway effective compliance (EC), the slope of cross-sectional area versus pressure estimated using computational fluid dynamics (CFD), correlates with apnea-hypopnea index (AHI) and critical closing pressure (Pcrit). The study objectives are to develop a fast, simplified method for estimating EC using dynamic MRI and physiological measurements, and to explore the hypothesis that OSAS severity correlates with mechanical compliance during wakefulness and sleep. Five obese children with OSAS and five obese control subjects age 12-17 underwent anterior rhinomanometry, polysomnography and dynamic MRI with synchronized airflow measurement during wakefulness and sleep. Airway cross-section in retropalatal and retroglossal section images was segmented using a novel semi-automated method that uses optimized singular-value decomposition (SVD) image filtering and k-means clustering combined with morphological operations. Pressure was estimated using rhinomanometry Rohrer coefficients and flow rate, and EC calculated from the area-pressure slope during five normal breaths. Correlations between apnea-hypopnea index (AHI), EC, and cross-sectional area (CSA) change were calculated using Spearman rank correlation. The semi-automated method efficiently segmented the airway with average Dice Coefficient above 89% compared to expert manual segmentation. AHI correlated positively with EC at the retroglossal site during sleep (rs=0.74, p=0.014), and with change of EC from wake to sleep at the retroglossal site (rs=0.77, p=0.01). CSA change alone did not correlate significantly with AHI. EC, a mechanical biomarker which includes both CSA change and pressure variation, is a potential diagnostic biomarker for studying and managing OSAS.

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