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    Utility of the STOP and STOP-BANG Questionnaires in a Pre-Screened Population Presenting for Overnight Polysomnography
    Lavercombe, M ; Hocking, V ; Clarence, M ; Thien, F (Sleep and Biological Rhythms, 2009)
    Obstructive Sleep Apnoea (OSA) is a common condition, the diagnosis of which is often delayed by prolonged waiting lists at the point of referral or in the sleep laboratory. Clinical prediction tools may become useful in triaging assessment and management of this condition. Recent publications have proposed and validated two new pre-operative screening tools for Obstructive Sleep Apnoea (OSA) in surgical patients (STOP and STOP-BANG). These screening tools have not been examined in a general sleep population. Methods: All patients attending for in-laboratory polysomnography at Box Hill Hospital during the study period were asked to complete the STOP questionnaire, and sleep scientists recorded the biometric data required for the BANG component. Polysomnography proceeded with sleep staging and event scoring performed according to the Chicago Criteria. Risk stratification by the STOP and STOP-BANG tools was combined with total Respiratory Disturbance Index from polysomnogram reports. Results: 69 patients have been recruited, although data continues to be collected. As expected, there is a predominance of moderate and severe OSA in this cohort (45/69, 65%). The STOP-BANG tool maintains higher sensitivity, negative predictive value and odds ratios than the STOP tool at each degree of OSA severity examined. Receiver operating characteristic curves demonstrate superiority of the STOP-BANG tool for RDI > 15, when compared with STOP-BANG for RDI > 30 and STOP at both RDI cut-offs. Conclusions: With ongoing data collection we hope to confirm trends seen in predictive values with these tools. Removal of less discriminatory criteria may improve their statistical usefulness, perhaps allowing development into risk stratification tools that will assist in triaging investigation and management of patients with suspected OSA.
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    Sleep & Physiology SIG
    Lavercombe, M ; Hocking, V ; Clarence, M ; Thien, F (Wiley, 2009-04)
    Obstructive Sleep Apnoea (OSA) is a common condition, the diagnosis of which is often delayed by prolonged waiting lists at the point of referral or in the sleep laboratory. Clinical prediction tools may become useful in triaging assessment and management of this condition. Recent publications have proposed and validated two new pre-operative screening tools for Obstructive Sleep Apnoea (OSA) in surgical patients (STOP and STOP-BANG). These screening tools have not been examined in a general sleep population. Methods All patients attending for in-laboratory polysomnography at Box Hill Hospital during the study period were asked to complete the STOP question-naire, and sleep scientists recorded the biometric data required for the BANG component. Polysomnography proceeded with sleep staging and event scoring performed according to the Chicago Criteria. Risk stratification by the STOP and STOP-BANG tools was combined with total Respiratory Disturbance Index from polysomnogram reports. Results 25 patients have been reviewed, although data continues to be collected. There is a high prevalence of moderate or severe OSA within this population (22/25, 88%). The STOP-BANG tool maintains higher sensitivity, negative predictive value and odds ratios than the STOP tool at each degree of OSA severity examined. Conclusions With ongoing data collection we hope to confirm trends seen in predictive values with these tools. Removal of less discriminatory criteria may improve their statistical usefulness, perhaps allowing development into risk stratification tools that will assist in triaging investigation and management of patients with suspected OSA.