Neck circumference percentile: A screening tool for pediatric obstructive sleep apnea

2014 ◽  
Vol 50 (2) ◽  
pp. 196-201 ◽  
Author(s):  
Sherri Katz ◽  
Kimmo Murto ◽  
Nicholas Barrowman ◽  
Janine Clarke ◽  
Lynda Hoey ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Screening Tool ◽  
Neck Circumference ◽  
Obstructive Sleep

scholarly journals Implementing an educational program to increase preoperative screening for obstructive sleep apnea using the stop-bang questionnaire

2016 ◽  
Vol 5 (1) ◽  
pp. 56 ◽  
Author(s):  
Adam Davies ◽  
Monaghan W. Patrick ◽  
Hogan Gerard
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Technology Acceptance ◽  
Registered Nurse ◽  
Screening Tool ◽  
Perioperative Complications ◽  
Nurse Anesthetists ◽  
Perceived Usefulness ◽  
Obstructive Sleep ◽  
Registered Nurse Anesthetists

<p><strong>Background:</strong> Obstructive sleep apnea (OSA) is a potentially fatal disease process that has been linked to higher rates of morbidity and mortality as well as increased perioperative complications. OSA is characterized by repetitive pauses in breathing during sleep. Greater than 92% of women and 82% of men who are plagued by moderate to severe sleep apnea are undiagnosed and may go unrecognized in the perioperative setting. The gap between a high prevalence of undiagnosed OSA in the adult population and the low level of clinical recognition has been well-documented. The term “STOP-BANG” is an acronym for eight independent elements predictive of OSA—three are OSA-related symptoms, three are physiological measurements, and two are patient characteristics.</p><p><strong>Methods:</strong> This project used a quasi-experimental design using a 16-question self-developed survey based on the technology acceptance model (TAM). Participants were asked to read an educational pamphlet on OSA and then complete the survey.</p><p><strong>Results:</strong> This study found strong evidence to suggest that among Certified Registered Nurse Anesthetists (CRNAs) and Student Registered Nurse Anesthetists (SRNAs), those with higher scores on Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Attitude toward Use (AT), tend to have a higher Behavioral Intention to Use (BIU) the STOP-BANG screening tool.</p><p><strong>Conclusions:</strong> The results suggest that programs targeted at raising CRNAs’ and SRNAs’ PEOU, PU, and AT regarding the STOP-BANG questionnaire will culminate in increased use of the STOP-BANG screening tool. The use of this screening tool will detect patients previously unidentified as having OSA, and ultimately prevent perioperative complications associated with this disease.</p>

scholarly journals Validation of the Spanish Version of the STOP-Bang Questionnaire: Usefulness as a Screening Tool for Obstructive Sleep Apnea in Adults

2020 ◽  
pp. 014556132093233
Author(s):  
Beatriz Delgado-Vargas ◽  
Leticia Acle-Cervera ◽  
Gianmarco Narciso López
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Screening Tool ◽  
Sleep Apnea Syndrome ◽  
Spanish Version ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
Good Internal Consistency ◽  
The Mean ◽  
Apnea Syndrome

Objectives: Obstructive sleep apnea syndrome (OSAS) is an increasing health problem, the diagnosis of which is generally delayed due to long waiting lists for the tests used to identify it. Therefore, tools that help on classifying patients at higher risk of suffering this syndrome have been developed. Methods: One hundred ninety-three consecutive patients, with and without OSAS, filled in the Spanish version of the STOP-Bang questionnaire in Hospital Universitario de Torrejón (Spain). Polysomnographies were performed to diagnose the presence and severity of the OSAS. Statistics analysis of the demographic characteristics of the sample and the questionnaire results was performed. Results: Most patients were male (73%) and the mean age was 50.4 years (ranging from 19-77 years). Cronbach α coefficient in the sample was 0.8072. A statistically significant difference was noted in the questionnaire scores between patients with OSAS and those without the syndrome. Conclusions: The Spanish version of the STOP-Bang questionnaire possess a good internal consistency that allows us to rely on it as a screening tool for patients with OSAS. In our sample, a difference in the questionnaire score was appreciated between patients with and without the syndrome, which strongly supports the utility of the questionnaire for its purpose.

scholarly journals Cardiorespiratory Polygraphy for Detection of Obstructive Sleep Apnea in Patients With Atrial Fibrillation

2021 ◽  
Vol 8 ◽  
Author(s):  
Michiel Delesie ◽  
Lieselotte Knaepen ◽  
Johan Verbraecken ◽  
Karolien Weytjens ◽  
Paul Dendale ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Screening Tool ◽  
Area Under The Curve ◽  
Screening Tools ◽  
Apnea Hypopnea Index ◽  
Automated Algorithm ◽  
Obstructive Sleep ◽  
At Home

Background: Obstructive sleep apnea (OSA) is a modifiable risk factor of atrial fibrillation (AF) but is underdiagnosed in these patients due to absence of good OSA screening pathways. Polysomnography (PSG) is the gold standard for diagnosing OSA but too resource-intensive as a screening tool. We explored whether cardiorespiratory polygraphy (PG) devices using an automated algorithm for Apnea-Hypopnea Index (AHI) determination can meet the requirements of a good screening tool in AF patients.Methods: This prospective study validated the performance of three PGs [ApneaLink Air (ALA), SOMNOtouch RESP (STR) and SpiderSAS (SpS)] in consecutive AF patients who were referred for PSG evaluation. Patients wore one of the three PGs simultaneously with PSG, and a different PG during each of three consecutive nights at home. Severity of OSA was classified according to the AHI during PSG (&lt;5 = no OSA, 5–14 = mild, 15–30 = moderate, &gt;30 = severe).Results: Of the 100 included AF patients, PSG diagnosed at least moderate in 69% and severe OSA in 33%. Successful PG execution at home was obtained in 79.1, 80.2 and 86.8% of patients with the ALA, STR and SpS, respectively. For the detection of clinically relevant OSA (AHI ≥ 15), an area under the curve of 0.802, 0.772 and 0.803 was calculated for the ALA, STR and SpS, respectively.Conclusions: This study indicates that home-worn PGs with an automated AHI algorithm can be used as OSA screening tools in AF patients. Based on an appropriate AHI cut-off value for each PG, the device can guide referral for definite PSG diagnosis.

The importance of screening questionnaires in detecting the severity of obstructive sleep apnea

2021 ◽  
Vol 70 (2) ◽  
pp. 75-81
Author(s):  
Šárka Solecká ◽  
Jan Betka ◽  
Karel Matler ◽  
Hana Tomášková
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Pittsburgh Sleep Quality Index ◽  
Neck Circumference ◽  
Berlin Questionnaire ◽  
Hip Circumference ◽  
Obstructive Sleep ◽  
Screening Questionnaires ◽  
Stop Questionnaire

ntroduction: The aim of this study is to compare the importance of screening questionnaires and risk factors in detecting the severity of obstructive sleep apnea (OSA). Methods: The study included 47 patients with suspected OSA. The patients completed 5 screening questionnaires – the Epworth Sleepiness Scale (ESS), the STOP BANG questionnaire, the STOP questionnaire, the Berlin questionnaire (BQ) and the Pittsburgh Sleep Quality Index (PSQI). Subsequently, they were examined by the limited polygraphy. AHI (number of apneas/ hypopneas per 1 hour), t90 desaturation (percentage of sleep time spent in desaturations below 90%) and ODI (number of desaturations ≥ 3% within 1 hour) were compared with questionnaire scores and selected risk factors for OSA (BMI, male gender, hypertension, age, neck circumference, abdominal circumference and abdominal/ hip circumference ratio). Results: The achieved score of any of the monitored questionnaires does not correlate with the value of AHI. BQ, STOP and STOP BANG questionnaires have the relatively highest sensitivity for OSA detection, while the sensitivity of PSQI and ESS is low. The correlation of the ESS, STOP BANG and BQ scores with the t90 desaturation, as well as the ESS and STOP BANG scores with the ODI is statistically signifi cant. The relationship of any of the selected risk factors with the AHI value has not been demonstrated. Desaturation values of t90 and ODI correlated best with BMI, neck circumference and abdominal/ hip circumference ratio. Conclusion: None of the monitored questionnaires is suitable for determining the severity of OSA, it is always necessary to perform a polygraphic or polysomnographic examination of sleep. BQ and STOPBANG are relatively most suitable for OSA screening. They both have high sensitivity and, at the same time, their score correlates with the value of nocturnal hypoxemia. Parameters measuring nocturnal hypoxemia (t90 desaturation, ODI) correlate better with risk factors than AHI. The most important parameters associated with hypoxemia are BMI, neck circumference and abdominal/ hip circumference ratio and it is appropriate to include them in the screening for OSA. Keywords: obstructive sleep apnea – Berlin questionnaire – STOP-Bang questionnaire – STOP questionnaire – Epworth sleepiness scale – Pittsburgh Sleep Quality Index

Body Mass Index (BMI) and Neck Circumference (NC) in Diagnosing Obstructive Sleep Apnea

2007 ◽  
Vol 2007 (1) ◽  
pp. 15
Author(s):  
A. Al Ansari ◽  
Hamad Al-Saey ◽  
Mansour Al-Sulaiti ◽  
S. Ganesan ◽  
H. Abdul Sattar ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Body Mass ◽  
Neck Circumference ◽  
Obstructive Sleep

scholarly journals 0572 Using Anthropometric Measures to Screen for Obstructive Sleep Apnea in the Sleep Heart Health Study Cohort

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A219-A219
Author(s):  
K D Vana ◽  
G E Silva ◽  
J D Carreon ◽  
S F Quan
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Screening Tool ◽  
Health Study ◽  
Heart Health ◽  
Height Ratio ◽  
Cut Point ◽  
Proxy Variables ◽  
Obstructive Sleep ◽  
Significant Difference

Abstract Introduction Individuals at high risk for obstructive sleep apnea (OSA) may not access sleep clinics for reasons including immobility, transportation difficulties, or living in rural areas. An easy-to-administer OSA screening tool for different body types, independent of witnessed apneas or body mass index (BMI), is lacking to identify this group quickly. We compared the sensitivities (SNs), specificities (SPs), and receiving operator curves (ROCs) of the neck circumference/height ratio (NHR) and waist circumference/height ratio (WHR) in predicting moderate and severe OSA (apnea-hypopnea index [AHI] ≥15/hr) with the SN, SP, and ROC of the derived Stop-Bang Questionnaire (dSBQ), which was created from proxy variables from the Sleep Heart Health Study (SHHS). Methods Data from the SHHS baseline evaluation were used and included participants (N=5431) who completed polysomnograms and had neck and waist circumferences, height measurements, and the SHHS proxy variables. This data then was divided randomly into 1/3 for derivation and 2/3 for validation analyses. Results No statistical differences were seen for gender, age, or ethnicity between the derivation and validation samples. In the validation sample (n=3621), the NHR cut-point of 0.21 resulted in a SN of 91% and a SP of 26% for AHI ≥15/hr. The WHR cut-point of 0.51 resulted in a SN of 91% and a SP of 21% for AHI ≥15/hr. Comparing the validation NHR and the dSBQ ROC curves showed no significant difference (AUCs=0.69 and 0.70, respectively; p=0.22). However, the ROC curve for WHR was significantly lower than for the dSBQ (AUCs=0.63 and 0.70, respectively; p&lt;0.0001). Comparing the derivation and validation ROCs showed no significant differences between NHR ROCs, p=0.81, or between WHR ROCs, p=0.67. Conclusion The NHR is a viable screening tool, independent of witnessed apneas and BMI, that can be used for different body types and is statistically comparable to the dSBQ. Support This work was supported by U01HL53938 and U01HL53938-07S (University of Arizona).

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