ObjectiveTo explore the risk factors for the occurrence of obstructive sleep apnea syndrome (OSAS) in snoring children, and to establish a nomogram prediction model. MethodsA total of 175 snoring children were selected, and they were divided into snore symptom group (n=122) or OSAS group (n=53) according to the results of polysomnography. The clinical data were compared between children of the two groups. The risk factors for snoring children suffering from OSAS were analyzed by using the multivariate Logistic regression model. The nomogram prediction model was established and validated by employing the rms package of R 3.6.3 software.ResultsThere were statistically significant differences in body mass index, and statuses of tonsil hypertrophy, adenoid hypertrophy, obesity, tobacco exposure, as well as history of rhinitis/sinusitis, and family history of snoring between the two groups (P＜0.05). The results of multivariate Logistic regression analysis revealed that obesity, tonsil hypertrophy, adenoid hypertrophy, the presence of rhinitis/sinusitis history were the risk factors for snoring children suffering from OSAS (P＜0.05). The nomogram prediction model established based on the aforesaid risk factors exerted favorable discrimination, calibration, and fitting degree, with predictive value for snoring children suffering from OSAS to a certain extent.ConclusionObesity, tonsil hypertrophy, adenoid hypertrophy, the presence of rhinitis/sinusitis history are the risk factors for snoring children suffering from OSAS, and the nomogram prediction model established based on the aforementioned risk factors exerts predictive value for snoring children suffering from OSAS to a certain extent.

无