scholarly journals Utility of the Pediatric Sleep Questionnaire and Pulse Oximetry as Screening Tools in Pediatric Patients with Suspected Obstructive Sleep Apnea Syndrome

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Jose A. Peña-Zarza ◽  
Borja Osona-Rodriguez de Torres ◽  
Jose Antonio Gil-Sanchez ◽  
Joan Figuerola-Mulet

Objective. To assess the screening tools in snoring patients.Material and Methods. A retrospective review of data was conducted from children between 2 and 15 years old who were referred on suspicion of obstructive sleep apnea-hypopnea (OSAH) between June 2008 and June 2011. We excluded patients with significant comorbidities. Pediatric Sleep Questionnaire (PSQ), physical exam (PE), and pulse-oximetry data were collected and correlated with the results of the nightly polygraph at home.Results. We selected 98 patients. The 22-item version of the PSQ had sensitivity of 96% and specificity of 36.8%. The overall value of the clinic predictor of OSAH (PSQ and PE together) exhibited an increased specificity 57.6% with 94.6% of sensitivity. The nocturnal home oximetry method used alone was very specific, 92.1%, but had a lower sensitivity, 77.1%. The set of clinical assessment tools used together with pulse-oximetry screening provided excellent specificity 98.1% and a positive predictive value 94.1% globally. The performance of this screening tool is related with the severity of OSAH and accuracy is better in moderate and severe cases.Conclusion. The combination of clinical assessment and pulse-oximetry screening can provide a sufficient diagnostic approach for pediatric patients with suspected OSAH at least in moderate and severe cases.

2019 ◽  
Vol 8 ◽  
pp. 216495611984712
Author(s):  
Stephanie D Clark ◽  
Bradley R Salonen ◽  
Neha V Reddy BS ◽  
Arya B Mohabbat

Objective To assess whether the Berlin Sleep Questionnaire and the Snoring, Tired, Observed, Pressure, Body mass, Age, Neck, and Gender questionnaire (STOP-BANG) might be suitable replacements for an overnight sleep pulse oximetry as screening tools for sleep disordered breathing in patients with fibromyalgia. Participants: From June 8, 2018 through July 25, 2018, adult patients with a confirmed diagnosis of fibromyalgia (via the 1990 and/or 2010 American College of Rheumatology Fibromyalgia Classification Criteria) who attended Mayo Clinic’s Fibromyalgia Treatment Program were invited to participate in the study. Methods: The design was a prospective comparative study with a retrospective chart review component. Participants completed 2 validated surveys: the Berlin Sleep Questionnaire and the STOP-BANG. Medical records were reviewed for demographic information and overnight pulse oximetry test results. Results: Results from both questionnaires indicate that there is an association between sleep apnea risk category (defined by questionnaire) and oximetry results. Fisher’s exact test for STOP-BANG and Berlin Sleep Questionnaire are statistically significant ( P < .001), indicating that participants at high risk for sleep apnea (based on the questionnaires) had a greater prevalence of abnormal oximetry results than those at low risk for sleep apnea. Participants who were classified as high risk (85.7%) or intermediate risk (61.5%) on the STOP-BANG questionnaire for sleep apnea had abnormal oximetry results. Participants who scored as high risk (85.7%) for sleep apnea on the Berlin Sleep Questionnaire had abnormal oximetry results. Conclusions: In patients with fibromyalgia, the Berlin Sleep Questionnaire and the STOP-BANG questionnaires could be beneficial in determining the probability of obstructive sleep apnea and the subsequent need for pulse oximetry testing, in higher risk patients.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A166-A166
Author(s):  
Ankita Paul ◽  
Karen Wong ◽  
Anup Das ◽  
Diane Lim ◽  
Miranda Tan

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):


2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Pi-Chang Lee ◽  
Betau Hwang ◽  
Wen-Jue Soong ◽  
C. C. Laura Meng

Background.The prevalence of obstructive sleep apnea (OSA) in the pediatric population is currently estimated at 1-2% of all children. The purpose of this study was to investigate the clinical and hemodynamic characteristics in pediatric patients with cor pulmonale and OSA.Methods.Thirty children with the diagnosis of OSA were included. These patients consisted of 26 male and 4 female children with a mean age of 7 ± 4 years old. Five of those children were found to be associated with cor pulmonale, and 25 had OSA but without cor pulmonale.Results.The arousal index was much higher in children with OSA and cor pulmonale. The children with OSA and cor pulmonale had much lower mean and minimal oxygen saturation and a higher incidence of bradycardia events. All 5 patients with OSA and cor pulmonale underwent an adenotonsillectomy, and the pulmonary arterial pressure dropped significantly after the surgery.Conclusion.This study demonstrated that the OSA pediatric patients with cor pulmonale had the different clinical manifestations and hemodynamic characteristics from those without cor pulmonale. The adenotonsillectomy had excellent results in both the OSA pediatric patients with and without cor pulmonale.


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