The Utility of Three Screening Questionnaires for Obstructive Sleep Apnea in a Sleep Clinic Setting
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Purpose: The aim of this study was to determine the diagnostic value of three screening questionnaires in identifying Korean patients at high risk for obstructive sleep apnea (OSA) in a sleep clinic setting in Korea. Materials and Methods: Data were collected from 592 adult patients with suspected OSA who visited a sleep center. All patients completed the Sleep Apnea of Sleep Disorder Questionnaire(SA-SDQ), the Berlin questionnaire, and the STOP-Bang questionnaire. EstimatedOSA risk was compared to a diagnosis of OSA. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated for each questionnaire. Results: The prevalence of OSA was 83.6% using an apnea-hypopneaindex (AHI) ≥5/h and 58.4% for an AHI ≥15/h. The STOP-Bang questionnairehad a high sensitivity (97% for AHI ≥5/h, 98% for AHI ≥15/h), but the specificitywas low (19% and 11%, respectively). In contrast, the sensitivity of the SA-SDQ was not high enough (68% for AHI ≥5/h, 74% for AHI ≥15/h) to be useful in a clinical setting, whereas the specificity was relatively good (66% and 61%, respectively). The sensitivity and specificity values of the Berlin questionnaire fell between those of the STOP-Bang questionnaire and the SA-SDQ. Conclusion: The STOP-Bang questionnaire may be useful for screening OSA in a sleep clinic setting, but its specificity is lower than the acceptable level for this purpose. A new screening questionnaire with a high sensitivity and acceptable specificity is thereforeneeded in a sleep clinic setting.
Abstract
Purpose: The aim of this study was to determine the diagnostic value of three screening questionnaires in identifying Korean patients at high risk for obstructive sleep apnea (OSA) in a sleep clinic setting in Korea. Materials and Methods: Data were collected from 592 adult patients with suspected OSA who visited a sleep center. All patients completed the Sleep Apnea of Sleep Disorder Questionnaire(SA-SDQ), the Berlin questionnaire, and the STOP-Bang questionnaire. EstimatedOSA risk was compared to a diagnosis of OSA. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated for each questionnaire. Results: The prevalence of OSA was 83.6% using an apnea-hypopneaindex (AHI) ≥5/h and 58.4% for an AHI ≥15/h. The STOP-Bang questionnairehad a high sensitivity (97% for AHI ≥5/h, 98% for AHI ≥15/h), but the specificitywas low (19% and 11%, respectively). In contrast, the sensitivity of the SA-SDQ was not high enough (68% for AHI ≥5/h, 74% for AHI ≥15/h) to be useful in a clinical setting, whereas the specificity was relatively good (66% and 61%, respectively). The sensitivity and specificity values of the Berlin questionnaire fell between those of the STOP-Bang questionnaire and the SA-SDQ. Conclusion: The STOP-Bang questionnaire may be useful for screening OSA in a sleep clinic setting, but its specificity is lower than the acceptable level for this purpose. A new screening questionnaire with a high sensitivity and acceptable specificity is thereforeneeded in a sleep clinic setting.
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