Diagnostic Accuracy of Three Screening Questionnaires for Predicting Moderate to Severe Obstructive Sleep Apnea in Patients With Morbid Obesity

Objective: This study aimed to evaluate the accuracy of the Epworth Sleepiness Scale (ESS), STOP-BANG, and Berlin Questionnaire (BQ) in detecting moderate to severe obstructive sleep apnea (OSA) in patients with morbid obesity. Methods: A cross-sectional study was conducted in adults with morbid obesity who were suspected of having OSA. Morbid obesity was defined as a body mass index (BMI) of ≥37 kg/m<sup>2</sup> or ≥32 kg/m<sup>2</sup> with diabetes or two obesity-related comorbidities. ESS, STOP-BANG, and BQ were assessed prior to polysomnography. Results: A total of 205 subjects (40.5% male) were included, with a mean age of 43.2±14.3 years and a BMI of 40.9±5.3 kg/m<sup>2</sup> . Neck circumference (NC) averaged 42.48±4.14 cm. The apnea-hypopnea index (AHI) was 59.4±39.2 events/h. The severity of OSA was: mild (9.8%), moderate (14.6%), and severe (73.2%). Optimal cutoff values for ESS, STOP-BANG, and BQ in detecting moderate to severe OSA were 6.5, 4.5, and 1.5, respectively. Sensitivity levels were 61.7%, 67.2%, and 88.9%, with specificity levels of 52.0%, 36.0%, and 36.0%, respectively. The area under the receiver operating characteristic curve values for ESS, STOP-BANG, and BQ were 0.624, 0.656, and 0.649, respectively. The predictive equation for AHI (events/h) was calculated as: -12.041 + (12.636×BQ scores) + (1.227×BMI) + (1.622×NC) - (0.991×lowest SpO<sub>2</sub>). Conclusion: BQ demonstrated the highest sensitivity, while ESS exhibits the highest specificity for predicting moderate to severe OSA in patients with morbid obesity. These questionnaires could serve as predictive tools for screening OSA in this population.

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Publication Details

Journal
Chronobiology in Medicine
Published
2025-03-31
DOI
https://doi.org/10.33069/cim.2024.0037
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
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article

Diagnostic Accuracy of Three Screening Questionnaires for Predicting Moderate to Severe Obstructive Sleep Apnea in Patients With Morbid Obesity

Ailada Chinnalai, Narongkorn Saiphoklang, Natapan Chinnalai
Chronobiology in Medicine
Cardiovascular Disease and Adiposity
article

Diagnostic Accuracy of Three Screening Questionnaires for Predicting Moderate to Severe Obstructive Sleep Apnea in Patients With Morbid Obesity

Ailada Chinnalai, Narongkorn Saiphoklang, Natapan Chinnalai
article en

Abstract

Objective: This study aimed to evaluate the accuracy of the Epworth Sleepiness Scale (ESS), STOP-BANG, and Berlin Questionnaire (BQ) in detecting moderate to severe obstructive sleep apnea (OSA) in patients with morbid obesity. Methods: A cross-sectional study was conducted in adults with morbid obesity who were suspected of having OSA. Morbid obesity was defined as a body mass index (BMI) of ≥37 kg/m<sup>2</sup> or ≥32 kg/m<sup>2</sup> with diabetes or two obesity-related comorbidities. ESS, STOP-BANG, and BQ were assessed prior to polysomnography. Results: A total of 205 subjects (40.5% male) were included, with a mean age of 43.2±14.3 years and a BMI of 40.9±5.3 kg/m<sup>2</sup> . Neck circumference (NC) averaged 42.48±4.14 cm. The apnea-hypopnea index (AHI) was 59.4±39.2 events/h. The severity of OSA was: mild (9.8%), moderate (14.6%), and severe (73.2%). Optimal cutoff values for ESS, STOP-BANG, and BQ in detecting moderate to severe OSA were 6.5, 4.5, and 1.5, respectively. Sensitivity levels were 61.7%, 67.2%, and 88.9%, with specificity levels of 52.0%, 36.0%, and 36.0%, respectively. The area under the receiver operating characteristic curve values for ESS, STOP-BANG, and BQ were 0.624, 0.656, and 0.649, respectively. The predictive equation for AHI (events/h) was calculated as: -12.041 + (12.636×BQ scores) + (1.227×BMI) + (1.622×NC) - (0.991×lowest SpO<sub>2</sub>). Conclusion: BQ demonstrated the highest sensitivity, while ESS exhibits the highest specificity for predicting moderate to severe OSA in patients with morbid obesity. These questionnaires could serve as predictive tools for screening OSA in this population.

Chronobiology in MedicineVol. 7(1)
Openalex Percentile: Top 89%
Cardiovascular Disease and Adiposity
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