scholarly journals 0592 Prevalence of Sleep Apnea in Patients with Tracheobronchomalacia

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A226-A227
Author(s):  
S Chopra ◽  
S Luthra ◽  
L Dalal ◽  
M Blattner ◽  
J August ◽  
...  
Keyword(s):  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Chart Review ◽  
Medical Center ◽  
Retrospective Chart Review ◽  
Apnea Hypopnea Index ◽  
Respiratory Disturbance ◽  
Trachea And Bronchi ◽  
Severe Sleep Apnea ◽  
Disordered Breathing

Abstract Introduction Tracheobronchomalacia (TBM) is a pathologic weakness in the trachea and bronchi leading to excessive dynamic narrowing of the airway. A relationship between sleep disordered breathing (SDB) and TBM has been observed before. SBD may be an important contributor to development or progression of TBM. The objective was to determine the Prevalence and characteristics of sleep disordered breathing in patients with tracheobronchomalacia. Methods We performed a retrospective chart review of patients who have been diagnosed with tracheobronchomalacia and who also underwent a polysomnogram (PSG) at the AASM - accredited Sleep Center of Beth Israel Deaconess Medical Center. Results In our 24 patient cohort of TBM, 71% were females, mean age 55 years (SD ± 12.3 years) and mean BMI 31.7 kg/m2 (SD ± 9.4 kg/m2). In patients with TBM we found a sleep apnea prevalence of 62.5% (n= 15), defined as an apnea-hypopnea index>5/hour (hour) with a desaturation greater than 4%. Of the 15 patients, 73.3% (n = 11) had mild sleep apnea, 20% (n = 3) had moderate sleep apnea, 6.6% (n = 1) had severe sleep apnea, defined per the AASM criteria with oxygen desaturation greater than 4%. The TBM cohort had a mean sleep efficiency of 72.7% (SD ± 22.2%) with a mean REM of 16.3% (SD ± 9.8 %). Other characteristics included a median AHI 3% of 19.9/hour (95% CI 3.9 - 25.0), median AHI 4% of 5.5/hour (95% CI 3.9 - 9.3), Respiratory disturbance index of 22/hour (95% CI 15.1 to 28.4). No unique challenges for treatment with positive airway pressure were noted. Conclusion Sleep apnea may be more common in patients with tracheobronchomalacia and could be regularly screened. Support none

scholarly journals 0897 Sleep Disordered Breathing In Pediatric Patients With Turner Syndrome

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A341-A342
Author(s):  
Y A Yu ◽  
B V Vaughn
Keyword(s):  
Sleep Apnea ◽  
Turner Syndrome ◽  
Sleep Disordered Breathing ◽  
Pediatric Patients ◽  
Genetic Disorder ◽  
Case Series ◽  
Growth Failure ◽  
Retrospective Chart Review ◽  
Upper Airway Resistance Syndrome ◽  
Disordered Breathing

Abstract Introduction Turner syndrome (TS) is a common genetic disorder that affects phenotypic females with partial or complete absence of one X chromosome. It typically presents with characteristic facial appearance, neck webbing, lymphedema, linear growth failure, and ovarian insufficiency. TS is also associated with other disorders, though sleep related disorders are not commonly reported. We present a case series of pediatric patients diagnosed with TS and assess their risk for sleep disordered breathing. Methods This study utilized retrospective chart review of the electronic medical record at the University of North Carolina at Chapel Hill from April 2014 to January 2019. Only pediatric patients under the age of 18 years who had previously undergone polysomnography and carrying the diagnosis of Turner syndrome were included in this study. Polysomnography results were reviewed. Results Retrospective chart analysis yielded ten (10) patients who qualified for inclusion. The mean age was 8.3 years (age range 1-15 years). Nine (9) patients were found to have sleep disordered breathing ranging from upper airway resistance syndrome to moderate sleep apnea (AHI range 1.2 to 6.2). Six (6) patients were found to have elevated periodic limb movement indices (PLM index range 5.1 to 30). Parasomnias and hypoventilation were not seen. Conclusion Our case series illustrates that sleep disordered breathing may be more common in TS than previously realized. Eklund et al. found that females with TS had more retrognathic mandibles and maxillas, shorter mandibles, and larger cranial base angles. These findings may indicate elevated risk of sleep apnea. Further studies are needed to define the overall risk of sleep disordered breathing in TS. Support None.

574 Sleep-disordered breathing symptoms in children who co-sleep: Are caregivers better reporters?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A226-A227
Author(s):  
Nimra Alvi ◽  
Allison Clarke ◽  
Pallavi Patwari
Keyword(s):  
Sleep Disordered Breathing ◽  
Chart Review ◽  
Retrospective Chart Review ◽  
Caregiver Distress ◽  
Inclusion Criteria ◽  
Demographic Information ◽  
Older Children ◽  
Obstructive Sleep ◽  
Morbid Conditions ◽  
Disordered Breathing

Abstract Introduction Medical consensus advises against co-sleeping for infants to protect against SIDS, but co-sleeping in older children is often dismissed if not associated with caregiver distress. While some families may choose to co-sleep due to cultural, circumstantial, or psychosocial factors, this choice can also be due to medical concerns warranting greater caregiver attention. We aimed to explore characteristics of co-sleeping children referred for sleep disordered breathing and hypothesized that children with polysomnogram confirmed obstructive sleep apnea (OSA) would have higher caregiver-reported sleep disordered breathing symptoms as compared to children without confirmed OSA. Methods Caregivers who accompanied their child for polysomnogram were asked to complete a questionnaire that included sleep-related symptoms of sleep-disordered breathing (snoring, apnea, gasping/choking), restlessness, and parasomnias. Inclusion criteria are age >1.0 years and <18 years, baseline study for sleep disordered breathing, and completed questionnaire. Retrospective chart review included demographic information, BMI, co-morbid conditions, and polysomnogram results. The cohort was divided into 2 groups based on polysomnogram confirmed diagnosis of “snoring” or “OSA”. Results Of 75 co-sleeping children, 27 (36%) had a diagnosis of snoring and 48 (64%) of OSA. The cohort was similar in age, gender, and insurance type for snoring and OSA groups (Average 5.7 +/- 2.6 yrs and 5.4 +/- 2.9 yrs, respectively; 41% and 35% female, respectively; 44% and 50% Medicaid, respectively). Notable differences in the snoring and OSA groups were found with BMI z-score (1.6 +/- 4.6 and 1.0 +/- 1.5, respectively) and absence of co-morbid conditions (44% and 63%, respectively). Regarding reported symptoms, the snoring-group compared to OSA-group had lower report of gasping/choking (19% vs 29%), bedwetting (7% vs 13%), and nightmares (7% vs 15%); and had higher report of movement (74% vs 60%), kicking (48% vs 31%), and startle/jump (30% vs 19%). Conclusion Although we predicted that co-sleeping would be associated with increased caregiver vigilance, witnessed sleep-disordered-breathing symptoms was only higher for report of gasping/choking and did not differ significantly for report of snoring and apnea in children with and without OSA. Interestingly, co-sleeping in children without OSA appeared to be more strongly related to report of sleep disruption in the form of restless sleep. Support (if any):

Postoperative Changes in Sleep-disordered Breathing and Sleep Architecture in Patients with Obstructive Sleep Apnea

2014 ◽  
Vol 120 (2) ◽  
pp. 287-298 ◽  
Author(s):  
Frances Chung ◽  
Pu Liao ◽  
Balaji Yegneswaran ◽  
Colin M. Shapiro ◽  
Weimin Kang
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Slow Wave Sleep ◽  
Sleep Architecture ◽  
Secondary Outcome ◽  
Apnea Hypopnea Index ◽  
Postoperative Changes ◽  
Obstructive Sleep ◽  
Disordered Breathing

Abstract Background: Anesthetics, analgesics, and surgery may profoundly affect sleep architecture and aggravate sleep-related breathing disturbances. The authors hypothesized that patients with preoperative polysomnographic evidence of obstructive sleep apnea (OSA) would experience greater changes in these parameters than patients without OSA. Methods: After obtaining approvals from the Institutional Review Boards, consented patients underwent portable polysomnography preoperatively and on postoperative nights (N) 1, 3, 5, and 7 at home or in hospital. The primary and secondary outcome measurements were polysomnographic parameters of sleep-disordered breathing and sleep architecture. Results: Of the 58 patients completed the study, 38 patients had OSA (apnea hypopnea index [AHI] >5) with median preoperative AHI of 18 events per hour and 20 non-OSA patients had median preoperative AHI of 2. AHI was increased after surgery in both OSA and non-OSA patients (P < 0.05), with peak increase on postoperative N3 (OSA vs. non-OSA, 29 [14, 57] vs. 8 [2, 18], median [25th, 75th percentile], P < 0.05). Hypopnea index accounted for 72% of the postoperative increase in AHI. The central apnea index was low (median = 0) but was significantly increased on postoperative N1 in only non-OSA patients. Sleep efficiency, rapid eye movement sleep, and slow-wave sleep were decreased on N1 in both groups, with gradual recovery. Conclusions: Postoperatively, sleep architecture was disturbed and AHI was increased in both OSA and non-OSA patients. Although the disturbances in sleep architecture were greatest on postoperative N1, breathing disturbances during sleep were greatest on postoperative N3.

scholarly journals P.069 Respiratory dysfunction and sleep disordered breathing in children with Myasthenia Gravis

2018 ◽  
Vol 45 (s2) ◽  
pp. S34-S34
Author(s):  
HF Qashqari ◽  
I Narang ◽  
H Katzberg ◽  
K Vezina ◽  
A Khayat ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Myasthenia Gravis ◽  
Sleep Disordered Breathing ◽  
Pediatric Population ◽  
Respiratory Muscles ◽  
Apnea Hypopnea Index ◽  
Respiratory Dysfunction ◽  
Obstructive Sleep ◽  
Disordered Breathing

Background: Myasthenia Gravis ( MG) is an autoimmune disease that affects the neuromuscular junction. It typically presents with fluctuating muscle weakness which can affect respiratory muscles. Data about the prevalence of sleep disordered breathing in children with MG and the benefits of non-invasive ventilation outside the setting of MG crisis has not been studied so far. Methods: Eleven children between 3 and 18 years old with confirmed MG were recruited from the The Hospital for Sick Children Neuromuscular clinic in a prospective observational study. Informed consent was obtained and patients underwent PFTs, MIP/MEP, SNIP, FVC and standard polysomnography testing’s. Results: In our study, we found that 2/11 children had abnormal Apnea Hypopnea index (AHI) and were diagnosed with obstructive sleep apnea (OSA). One of them has juvenile ocular MG with mild to moderate OSA and the second child has congenital MG with mild OSA. CPAP therapy was initiated for both patients. Conclusions: In our cohort, obstructive sleep apnea rate was significantly higher in children with MG than the known prevalence in general pediatric population ( 18% vs 2-3% ). Early diagnosis and management of OSA can have great impact on children’s health and quality of life. A larger study is needed to validate our findings.

scholarly journals Sleep Disordered Breathing in Children with Mitochondrial Disease

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Ricardo A. Mosquera ◽  
Mary Kay Koenig ◽  
Rahmat B. Adejumo ◽  
Justyna Chevallier ◽  
S. Shahrukh Hashmi ◽  
...  
Keyword(s):  
Mitochondrial Disease ◽  
Sleep Disordered Breathing ◽  
Chart Review ◽  
Muscle Tone ◽  
Retrospective Chart Review ◽  
Overweight Status ◽  
Obstructive Sleep ◽  
The Common ◽  
Review Study ◽  
Disordered Breathing

A retrospective chart review study was performed to determine the presence of sleep disordered breathing (SDB) in children with primary mitochondrial disease (MD). The symptoms, sleep-related breathing, and movement abnormalities are described for 18 subjects (ages 1.5 to 18 years, 61% male) with MD who underwent polysomnography in our pediatric sleep center from 2007 to 2012. Of the 18 subjects with MD, the common indications for polysomnography were excessive somnolence or fatigue (61%,N= 11), snoring (44%,N= 8), and sleep movement complaints (17%,N= 3). Polysomnographic measurements showed SDB in 56% (N= 10) (obstructive sleep apnea in 60% (N= 6), hypoxemia in 40% (N= 4), and sleep hypoventilation in 20% (N= 2)). There was a significant association between decreased muscle tone and SDB (P: 0.043) as well as obese and overweight status with SDB (P=0.036). SDB is common in subjects with MD. Early detection of SDB, utilizing polysomnography, should be considered to assist in identification of MD patients who may benefit from sleep-related interventions.

scholarly journals 0911 Association Between Chromosomal Abnormality And Sleep Disordered Breathing Characteristics In Children With Prader Willi Syndrome

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A346-A346
Author(s):  
G Gupta ◽  
M Veeravigrom ◽  
B Felt ◽  
L O’Brien
Keyword(s):  
Sleep Disordered Breathing ◽  
Genetic Disorder ◽  
Uniparental Disomy ◽  
Retrospective Chart Review ◽  
Hormone Treatment ◽  
Apnea Hypopnea Index ◽  
Prader Willi Syndrome ◽  
Chromosomal Deletion ◽  
Arousal Index ◽  
Disordered Breathing

Abstract Introduction Prader-Willi Syndrome (PWS) is a genetic disorder caused by lack of expression of paternal genes from the chromosomal region 15 q11.2-q13. PWS is associated with excessive daytime sleepiness, sleep-disordered breathing (SDB), hypoventilation and circadian rhythm disturbance. Chromosomal deletion and uniparental disomy (UPD) are the two most common genetic etiologies of PWS. Differences in clinical features between these groups are recognized; however, limited literature exists regarding sleep characteristics. Methods The objective was to evaluate sleep characteristics of children with PWS between those with 15q11.2-q13 chromosomal deletion and those with other genetic etiologies. A retrospective chart review of in-laboratory polysomnograms (PSG) in children with PWS prior to growth hormone treatment was performed. The apnea hypopnea index (AHI), REM AHI, NREM AHI, Obstructive Apnea Index (OAI), Central Apnea Index (CAI), hypopnea index, arousal index, presence of hypoventilation, and positional AHI were assessed. Results Overall 33 PWS children were identified. Mean age was 5.9 ± 5.19 (range 1-16 years), 57% were male and 85% had SDB. Almost half (42%) had a 15q11.2-q13 chromosomal deletion. Of those without deletion, 30% had UPD. Sleep variables were similar in PWS with and without deletion: AHI (5.9±5.7 vs. 8.54±7.1; p=0.27), NREM AHI (3.3±4.6 vs. 6.2±6.3; p=0.16), CAI (1.1±1.5 vs. 1.9±3.8; p=0.43) SpO2 nadir 82.7±9.9% vs. 85.3±5.7%; p=0.36) and arousal index (10.3±7.8 vs. 15.4±7.8; p=0.09). Conclusion Sleep characteristics do not appear to clearly differ between genetic etiologies of PWS. Larger sample sizes are needed to support these findings. Support  

scholarly journals 1208 Sleep Stage Prediction And Sleep Disordered Breathing Detection Using Raw Actigraphy And Photoplethysmography From Wearable Consumer Device

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A461-A462
Author(s):  
M Olsen ◽  
H Sorensen ◽  
P Jennum ◽  
E Mignot
Keyword(s):  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Data Driven ◽  
Sensor Data ◽  
Sleep Stages ◽  
Apnea Hypopnea Index ◽  
Low Resolution ◽  
Automatic Data ◽  
Consumer Device ◽  
Disordered Breathing

Abstract Introduction Wearable, multisensory consumer devices that estimate sleep are prevalent and hold great potential. Most validated actigraphic prediction studies of sleep stages (SS) have only used low resolution (30 sec) data and the Cole-Kripke algorithm. Other algorithms are often proprietary and not accessible or validated. We present an automatic, data-driven deep learning algorithm that process raw actigraphy (ACC) and photoplethysmography (PPG) using a low-cost consumer device at high (25Hz) and low resolution to predict SS and to detect sleep disordered breathing (SDB) events. Methods Our automatic, data-driven algorithm is a deep neural network trained and evaluated to predict SS and SDB events on 236 recordings of ACC data from a wrist-worn accelerometer and PPG data from the overlapping PSG. The network was tested on raw ACC and PPG data, which was collected at 25 Hz using the HUAMI Arc2 wristband from 39 participants that underwent a nocturnal polysomnography (PSG). Results Overall accuracy (Acc), recall (Re), specificity (Sp), and kappa (κ) per subject on the test dataset the prediction of wake, NREM, REM was Acc=76.6%, Re=72.4%, Sp=78.0%, kappa=0.42. On average, we found a 7 % higher performance using the raw sensor data as input instead of processed, low resolution inputs. PPG was especially useful for REM detection. The network assigned 55.6% of patients to the correct SDB severity group when using an apnea-hypopnea index above 15. Conclusion Current results show that SS prediction is significantly improved when using the raw sensor data; it indicates that the system holds promise as a potential pervasive monitoring device for patients with chronic sleep disorders. In contrast the system did not show potential as a sleep apnea screening tool. Additional studies are ongoing to examine the effects of pathology such as sleep apnea and periodic leg movement on SS prediction. Support Technical University of Denmark; University of Copenhagen, Copenhagen Center for Health Technology, Klarman Family Foundation.

scholarly journals Prevalence of sleep-disordered breathing after stroke and TIA

Neurology ◽  
2019 ◽  
Vol 92 (7) ◽  
pp. e648-e654 ◽  
Author(s):  
Andrea Seiler ◽  
Millene Camilo ◽  
Lyudmila Korostovtseva ◽  
Alan G. Haynes ◽  
Anne-Kathrin Brill ◽  
...  
Keyword(s):  
Sleep Apnea ◽  
Confidence Interval ◽  
Sleep Disordered Breathing ◽  
Meta Analysis ◽  
Chronic Phase ◽  
Cochrane Library ◽  
Apnea Hypopnea Index ◽  
Apnea Test ◽  
Registration Number ◽  
Disordered Breathing

ObjectiveTo perform a systematic review and meta-analysis on the prevalence of sleep-disordered breathing (SDB) after stroke.MethodsWe searched PubMed, Embase (Ovid), the Cochrane Library, and CINAHL (from their commencements to April 7, 2017) for clinical studies reporting prevalence and/or severity of SDB after stroke or TIA. Only sleep apnea tests performed with full polysomnography and diagnostic devices of the American Academy of Sleep Medicine categories I–IV were included. We conducted random-effects meta-analysis. PROSPERO registration number: CRD42017072339.ResultsThe initial search identified 5,211 publications. Eighty-nine studies (including 7,096 patients) met inclusion criteria. Fifty-four studies were performed in the acute phase after stroke (after less than 1 month), 23 studies in the subacute phase (after 1–3 months), and 12 studies in the chronic phase (after more than 3 months). Mean apnea-hypopnea index was 26.0/h (SD 21.7–31.2). Prevalence of SDB with apnea-hypopnea index greater than 5/h and greater than 30/h was found in 71% (95% confidence interval 66.6%–74.8%) and 30% (95% confidence interval 24.4%–35.5%) of patients, respectively. Severity and prevalence of SDB were similar in all examined phases after stroke, irrespective of the type of sleep apnea test performed. Heterogeneity between studies (I2) was mostly high.ConclusionThe high prevalence of SDB after stroke and TIA, which persists over time, is important in light of recent studies reporting the (1) feasibility and (2) efficacy of SDB treatment in this clinical setting.

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