A Case-control Study on High-risk Factors for Newborn Hearing Loss in Seven Cities of Shandong Province / 华中科技大学学报（医学）（英德文版）

ABSTRACT

To investigate the high-risk factors for newborn heating loss and to provide information for preventing the development of hearing loss and delaying its progression, from May 2003 to June 2006, neonates who failed to pass the universal newborn hearing screening (UNHS) were referred to Jinan Newborn Hearing Screening and Rehabilitation Center from 7 newborn heating screening centers in seven cities of Shandong province. One-to-one pair-matched case-control method was employed for statistical analysis of the basic features of definitely identified cases. High-risk factors relating to the bilateral hearing loss were evaluated by univariate and multivariate Logistic regression analysis. Our results revealed that 721 transferred newborns who didn't pass the heating screening received audiological and medical evaluation and 367 were confirmed to have heating loss. Of them,177 neonates with heating loss who met the matching requirements were included in the study as subjects. Univariate analysis showed that high-risk factors related to hearing loss incuded age of father, education backgrounds of parents, parity, birth weight, gestational weeks, craniofacial deformity,history of receiving treatment in neonatal intensive care unit (NICU), neonatal disease, family history of otopathy and family history of congenital hearing loss. Multivariate Logistic regression analysis revealed that 4 independent risk factors were related to bilateral hearing loss, including parity (OR=16.285, 95% CI 3.379-78.481), neonatal disease (OR=34.968, 95% CI 2.720-449.534),family history of congenital hearing loss (OR=69.488, 95% CI 4.417-1093.300) and birth weight (OR=0.241, 95% CI 0.090-0.648). It is concluded that parity, neonatal disease and family history of hearing loss are the promoting factors of bilateral hearing loss in neonates and appropriate intervention measures should be taken to deal with the risk factors.