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BASET scoring: A novel simple biometric score for screening and grading obstructive sleep apnea
Abdelbaset M Saleh1, Magda A Ahmed1, Eman A El Said1
1Department of Chest Medicine, Sleep Disordered Breathing Unit, Faculty of Medicine, Mansoura University, Egypt.
The BASET score effectively screens for Obstructive Sleep Apnea (OSA), demonstrating higher accuracy than existing tools like Berlin and STOP-Bang. This validated scoring system aids in diagnosing OSA and its severity in primary care settings.
Area of Science:
- Sleep Medicine
- Diagnostic Tools
- Respiratory Disorders
Background:
- Obstructive Sleep Apnea (OSA) is a prevalent condition, significantly underdiagnosed due to limited Polysomnography (PSG) availability.
- A validated, simple diagnostic tool for primary care to predict and manage OSA is lacking, impacting clinical outcomes.
- Current screening methods have limitations in accuracy and accessibility for widespread OSA detection.
Purpose of the Study:
- To evaluate the diagnostic validity of the novel BASET scoring system for screening Obstructive Sleep Apnea (OSA).
- To assess the BASET score's capability in grading the severity of OSA.
- To compare the predictive accuracy of the BASET score against established screening tools (Berlin and STOP-Bang).
Main Methods:
- A cohort of 144 subjects with suspected OSA underwent history taking, physical examination (including BASET components: BMI, Abdominal Circumference, Snoring, Epworth Sleepiness Scale, Tongue teeth imprint), and full-night PSG.
- Receiver Operating Characteristic (ROC) analysis was employed to determine optimal cutoff points and compare the accuracy of BASET, Berlin, and STOP-Bang scores in predicting OSA.
- Internal consistency reliability of the BASET score components was assessed using Cronbach's alpha.
Main Results:
- The BASET score demonstrated high internal consistency (Cronbach's alpha = 0.846) and a strong correlation with Apnea-Hypopnea Index (AHI) (r=0.778, p<0.001).
- BASET score exhibited superior accuracy in predicting OSA (AUC=0.984) compared to STOP-Bang (AUC=0.939) and Berlin (AUC=0.901) scores.
- The BASET score was significantly associated with OSA severity grades (p<0.001), outperforming both Berlin and STOP-Bang scores in predictive accuracy.
Conclusions:
- The BASET score is a convenient, reliable, and valid tool for OSA diagnosis and severity grading.
- BASET score offers enhanced accuracy for OSA prediction compared to the Berlin and STOP-Bang scores.
- The BASET score's high validity and accuracy support its potential use in primary care for efficient OSA screening and management.
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