Abstract: Objective: To evaluate the predictive significance of the simplified Chinese STOP-Bang(S-B) scoring model in predicting obstructive sleep apnea hypopnea syndrome(OSAHS).Method: A total of 114 cases with suspected OSAHS were included in this study. S-B questionnaire was filled before polysomnography(PSG) monitoring. According to the PSG monitoring results the patients were divided into simple snoring, mild, moderate and severe OSAHS groups. The average S-B scores and the ratio of patients with S-B score ≥3 were compared among the four groups respectively. The accuracy of S-B scoring model was analyzed and predictive significance was evaluated.Result: Eighty nine of 114(78.1%) patients were classified as being at high risk of OSAHS by S-B scoring. The S-B scores showed an accrescent tendency as the severity of OSAHS increased. The scores in the four groups were 2.74±1.39,3.25±1.16,4.30±1.20,4.79±1.41 respectively. Significant difference in S-B scores was found between severe OSAHS group and the other three groups respectively(P<0.01), and also between moderate OSAHS group and mild OSAHS/simple snoring group(P<0.01). The ratio of patients with high risk of OSAHS predicted by S-B scoring in OSAHS group(85.7%) was significantly higher than that in simple snoring group(47.8%)(P<0.01). The sensitivities of S-B scoring model for AHI≥5,≥15 and ≥30 were 85.7%,92.5% and 100%, respectively; the negative predictive values were 48.0%,80.0% and 100%. The coincidence rate of S-B scoring model with golden standard to diagnose OSAHS was 78.9%. The area under the ROC curve at AHI cutoff of greater than or equal to 5 was 0.774.Conclusion: S-B scoring model can be used to evaluate patients with high risk of OSAHS. It is a concise and easy-to-use tool to screen and predict moderate and severe OSAHS with relative high sensitivity and negative predictive value.