Sleep Study | ScienceGate

Abstract Introduction Achondroplasia (ACH) occurs approximately 1 in 20,000–30,000 live births. They are prone to sleep disordered breathing specifically due to the upper airway stenosis, enlarged head circumference, combined with hypotonia and limited chest wall size associated with scoliosis at times. The co-occurrence of sleep apnea is well established and can aide in the decision for surgical intervention, however it is unclear at what age children should be evaluated for sleep apnea. Screening is often delayed as during the daytime there is no obvious gas exchange abnormalities. Due to the rareness of this disease, large studies are not available, limiting the data for discussion and analysis to develop guidelines on ideal screening age for sleep disordered breathing in children with ACH. Methods The primary aim of this study is to ascertain the presence of sleep disorder breathing and demographics of children with ACH at time of first polysomnogram (PSG) completed at one of the largest pediatric sleep lab in the country. The secondary aim of the study is to identify whether subsequent polysomnograms were completed if surgical interventions occurred and how the studies differed over time with and without intervention. Retrospective review of the PSGs from patients with ACH, completed from 2017–2019 at the Children’s Sleep Disorders Center in Dallas, TX. Clinical data, demographics, PSG findings and occurrence of interventions were collected. Results Twenty-seven patients with the diagnosis of ACH met criteria. The average age at the time of their first diagnostic PSG was at 31.6 months of age (2.7 years), of those patients 85% had obstructive sleep apnea (OSA),51% had hypoxemia and 18% had hypercapnia by their first diagnostic sleep study. Of those with OSA, 50% were severe. Majority were females, 55%. Most of our patients were Hispanic (14%), Caucasian (9%), Asian (2%), Other (2%), Black (0%). Each patient had an average of 1.9 PSGs completed. Conclusion Our findings can help create a foundation for discussion of screening guidelines. These guidelines will serve to guide primary care physicians to direct these patients to an early diagnosis and treatment of sleep disordered breathing. Support (if any):

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419 STOP-Bang Score and History of Radiation Predicts Risk of Obstructive Sleep Apnea in Cancer Patients: A Machine Learning Study

SLEEP ◽

10.1093/sleep/zsab072.418 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A166-A166

Author(s):

Ankita Paul ◽

Karen Wong ◽

Anup Das ◽

Diane Lim ◽

Miranda Tan

Keyword(s):

Machine Learning ◽

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Cancer Patients ◽

Prediction Accuracy ◽

Screening Tools ◽

Cancer Type ◽

Sleep Study ◽

Obstructive Sleep ◽

History Of

Abstract Introduction Cancer patients are at an increased risk of moderate-to-severe obstructive sleep apnea (OSA). The STOP-Bang score is a commonly used screening questionnaire to assess risk of OSA in the general population. We hypothesize that cancer-relevant features, like radiation therapy (RT), may be used to determine the risk of OSA in cancer patients. Machine learning (ML) with non-parametric regression is applied to increase the prediction accuracy of OSA risk. Methods Ten features namely STOP-Bang score, history of RT to the head/neck/thorax, cancer type, cancer stage, metastasis, hypertension, diabetes, asthma, COPD, and chronic kidney disease were extracted from a database of cancer patients with a sleep study. The ML technique, K-Nearest-Neighbor (KNN), with a range of k values (5 to 20), was chosen because, unlike Logistic Regression (LR), KNN is not presumptive of data distribution and mapping function, and supports non-linear relationships among features. A correlation heatmap was computed to identify features having high correlation with OSA. Principal Component Analysis (PCA) was performed on the correlated features and then KNN was applied on the components to predict the risk of OSA. Receiver Operating Characteristic (ROC) - Area Under Curve (AUC) and Precision-Recall curves were computed to compare and validate performance for different test sets and majority class scenarios. Results In our cohort of 174 cancer patients, the accuracy in determining OSA among cancer patients using STOP-Bang score was 82.3% (LR) and 90.69% (KNN) but reduced to 89.9% in KNN using all 10 features mentioned above. PCA + KNN application using STOP-Bang score and RT as features, increased prediction accuracy to 94.1%. We validated our ML approach using a separate cohort of 20 cancer patients; the accuracies in OSA prediction were 85.57% (LR), 91.1% (KNN), and 92.8% (PCA + KNN). Conclusion STOP-Bang score and history of RT can be useful to predict risk of OSA in cancer patients with the PCA + KNN approach. This ML technique can refine screening tools to improve prediction accuracy of OSA in cancer patients. Larger studies investigating additional features using ML may improve OSA screening accuracy in various populations Support (if any):

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Snoring: a source of noise pollution and sleep apnea predictor

SLEEP ◽

10.1093/sleep/zsz305 ◽

2019 ◽

Vol 43 (6) ◽

Cited By ~ 4

Author(s):

Mudiaga Sowho ◽

Francis Sgambati ◽

Michelle Guzman ◽

Hartmut Schneider ◽

Alan Schwartz

Keyword(s):

Sleep Apnea ◽

Operating Characteristic ◽

Area Under The Curve ◽

Noise Pollution ◽

Apnea Hypopnea Index ◽

Sleep Study ◽

Sound Levels ◽

Obstructive Sleep ◽

Single Night ◽

The Relationship

Abstract Snoring is a highly prevalent condition associated with obstructive sleep apnea (OSA) and sleep disturbance in bed partners. Objective measurements of snoring in the community, however, are limited. The present study was designed to measure sound levels produced by self-reported habitual snorers in a single night. Snorers were excluded if they reported nocturnal gasping or had severe obesity (BMI > 35 kg/m2). Sound was measured by a monitor mounted 65 cm over the head of the bed on an overnight sleep study. Snoring was defined as sound ≥40 dB(A) during flow limited inspirations. The apnea hypopnea index (AHI) and breath-by-breath peak decibel levels were measured. Snore breaths were tallied to determine the frequency and intensity of snoring. Regression models were used to determine the relationship between objective measures of snoring and OSA (AHI ≥ 5 events/h). The area under the curve (AUC) for the receiver operating characteristic (ROC) was used to predict OSA. Snoring intensity exceeded 45 dB(A) in 66% of the 162 participants studied, with 14% surpassing the 53 dB(A) threshold for noise pollution. Snoring intensity and frequency were independent predictors of OSA. AUCs for snoring intensity and frequency were 77% and 81%, respectively, and increased to 87% and 89%, respectively, with the addition of age and sex as predictors. Snoring represents a source of noise pollution in the bedroom and constitutes an important target for mitigating sound and its adverse effects on bed partners. Precise breath-by-breath identification and quantification of snoring also offers a way to risk stratify otherwise healthy snorers for OSA.

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Prognostic relevance of sleep apnea syndrome in patients with pulmonary arterial hypertension

European Heart Journal ◽

10.1093/ehjci/ehaa946.2243 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

J Precek ◽

K Vykoupil ◽

F Kovacik ◽

M Hutyra

Keyword(s):

Pulmonary Hypertension ◽

Sleep Apnea ◽

Pulmonary Arterial Hypertension ◽

General Population ◽

Arterial Hypertension ◽

Left Ventricular ◽

Sleep Study ◽

Prognostic Relevance ◽

Obstructive Sleep ◽

Pulmonary Arterial

Abstract Introduction Sleep disordered breathing (SDB) is a group of ventilatory disorders during sleep which includes obstructive sleep apnea (OSA), central sleep apnea (CSA), and sleep related hypoventilation. In patients with SDB, the prevalence of pulmonary hypertension (PH) ranges from 17% to 52%. While SDB is prevalent in the general population with recent estimates of 20% to 30%, in those with cardiovascular disease, particularly left ventricular failure, there is a higher reported prevalence of 47%. Aims The aims of this study were to determine the prevalence and prognostic relevance of sleep apnea in a cohort of patients with newly diagnosed pulmonary arterial hypertension (ESC/WHO Group 1 pulmonary hypertension). Methods We evaluated prospectively 76 patients with the pulmonary arterial hypertension (mean age 54±16 years; 45% male). All patients underwent right heart catheterisation, clinical assessments, sleep study, standard laboratory testing and evaluation of subjective sleepiness by the Epworth Sleepiness Scale. Sleep test was provided with an ApneaLink Plus, consisting of nasal pressure sensor, respiratory effort band, and pulse oximeter worn on the finger. Subjects previously treated for or diagnosed with SDB were excluded from the study. Results Sleep apnea (SA) – defined as apnea-hypopnea index (AHI) ≥5/h – was found in 59 (77.6%) of the pulmonary arterial hypertension (PAH) patients. Mean AHI in the cohort of PAH patients with SA was 26.1±16.6/h. Mean follow-up was 24 months, during which 15 (19.7%) patients died. Characteristics of parameters related to SA in groups of survivors and deceased are in table 1. From the sleep apnea-related parameters, only time with O2Sat <90% – T90 was significantly associated with mortality (AUC 0.856; 95% CI 0.693 – 1.019; p<0.001). Conclusions The presence of sleep apnea in pulmonary arterial hypertension patients is high. The prevalence of sleep apnea is higher in PAH patients than in the general population. The presence of sleep apnea in patients with PAH was not associated with worse prognosis, but noctural hypoxemia (time with O2Sat <90%) was related to poor prognosis. Sleep apnea in patients with PAH should be screened for systematically. Funding Acknowledgement Type of funding source: None

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Effects of an individualized analgesia protocol on the need for medical interventions after adenotonsillectomy in children: a randomized controlled trial

BMC Anesthesiology ◽

10.1186/s12871-021-01263-3 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Jian Guo ◽

Peijun Zhuang ◽

Kun Liu ◽

Yuanyuan Wan ◽

Xuan Wang

Keyword(s):

Median Duration ◽

Controlled Trial ◽

Pain Scale ◽

Medical Intervention ◽

Secondary Outcome ◽

Sleep Study ◽

Medical Interventions ◽

Randomized Controlled ◽

Obstructive Sleep ◽

Blinded Trial

Abstract Background It has been proposed that the dose of rescue opioids should be individually titrated to the severity of obstructive sleep apnea after adenotonsillectomy. However, a sleep study is not always available before adenotonsillectomy. This randomized, controlled and blinded trial evaluated a strategy of pain control individualized to the results of a fentanyl test, rather than the results of polysomnography, in children after adenotonsillectomy. Methods A total of 280 children (3–10 years old) undergoing elective adenotonsillectomy were randomized into an individualized protocol (IP) group or a conservative protocol (CP) group. All patients received a fentanyl test before extubation. Pain was assessed every 10 min in the recovery room, and rescue morphine was given when the Children’s Hospital of Eastern Ontario Pain Scale (CHEOPS) score was > 6. In the IP group, the dose of rescue morphine was individualized to the results of the fentanyl test (10 μg/kg in the case of a positive result and 50 μg/kg in the case of a negative result). In the CP group, the dose was fixed (25 μg/kg). The primary outcome was the percentage of patients requiring at least one medical intervention. The secondary outcome was the median duration of CHEOPS scores > 6. Results Fewer patients in the IP group than in the CP group required medical interventions [11.9% (16/134) vs 22.3% (29/130), P = 0.025]. The median duration of CHEOPS scores > 6 was shorter in the IP group than in the CP group [20 (95% CI: 17 to 23) min vs 30 (95% CI: 28 to 32) min, P < 0.001]. Conclusions Compared with a conservative dosing approach, this individualized protocol may improve analgesia without a significant increase in respiratory adverse events. Trial registration ClinicalTrials.gov NCT02990910, registered on 13/12/2016.

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Subjective and Objective Appraisal of Activity in Adults with Obstructive Sleep Apnea

Journal of Aging Research ◽

10.4061/2011/751819 ◽

2011 ◽

Vol 2011 ◽

pp. 1-6 ◽

Cited By ~ 19

Author(s):

Eileen R. Chasens ◽

Susan M. Sereika ◽

Martin P. Houze ◽

Patrick J. Strollo

Keyword(s):

Physical Activity ◽

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Epworth Sleepiness Scale ◽

Functional Outcomes ◽

Apnea Hypopnea Index ◽

Sleep Study ◽

Obstructive Sleep ◽

Subjective Sleepiness ◽

Aging Adults

Objective.This study examined the association between obstructive sleep apnea (OSA), daytime sleepiness, functional activity, and objective physical activity.Setting.Subjects (N=37) being evaluated for OSA were recruited from a sleep clinic.Participants. The sample was balanced by gender (53% male), middle-aged, primarily White, and overweight or obese with a mean BMI of 33.98 (SD=7.35;median BMI=32.30). Over 40% reported subjective sleepiness (Epworth Sleepiness Scale (ESS) ≥10) and had OSA (78% with apnea + hypopnea index (AHI) ≥5/hr).Measurements.Evaluation included questionnaires to evaluate subjective sleepiness (Epworth Sleepiness Scale (ESS)) and functional outcomes (Functional Outcomes of Sleep Questionnaire (FOSQ)), an activity monitor, and an overnight sleep study to determine OSA severity.Results.Increased subjective sleepiness was significantly associated with lower scores on the FOSQ but not with average number of steps walked per day. A multiple regression analysis showed that higher AHI values were significantly associated with lower average number of steps walked per day after controlling patient's age, sex, and ESS.Conclusion.Subjective sleepiness was associated with perceived difficulty in activity but not with objectively measured activity. However, OSA severity was associated with decreased objective physical activity in aging adults.

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