Lin Wei, Xiong Gaoyun, Yan Kailei, Yu Wumin, Xie Xiaoxing, Xiang Ze, Wu Jian, Ge Yanping, Wang Ying
Department of Otolaryngology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Front Neurol. 2022 Jun 2;13:905069. doi: 10.3389/fneur.2022.905069. eCollection 2022.
Studies on risk factors influencing the prognosis of patients with sudden onset deafness are lacking.
From March 2018 to March 2021, 500 patients, from the Tongde Hospital in Zhejiang Province, with sudden onset deafness were enrolled. We collected clinical information from the hospital medical records, including certain demographic characteristics, information related to sudden-onset deafness, and laboratory parameters. Univariate and multivariate analyses were performed to determine independent prognostic risk factors for patients with sudden deafness. Additionally, we also employed orthogonal partial least squares discriminant analysis (OPLS-DA) to analyze the data of these enrolled patients.
The baseline clinical characteristics of the enrolled patients were analyzed. Based on their prognoses, the included patients were divided into the overall effective and ineffective groups. Between these two groups, the univariate and multivariate analyses were performed. Age, type of hearing curve at the initial diagnosis, acute phase, and sudden deafness site were found to be independently associated with the prognoses of patients with sudden deafness (all < 0.05). Through the OPLS-DA, the sudden deafness site was found to be an indicator with the highest predictive power.
Age, type of hearing curve at the initial diagnosis, acute phase, and sudden deafness site were all independently correlated with the prognoses of patients with sudden deafness and, therefore, need to be emphasized.
缺乏关于影响突发性耳聋患者预后危险因素的研究。
2018年3月至2021年3月，纳入浙江省同德医院500例突发性耳聋患者。我们从医院病历中收集临床信息，包括某些人口统计学特征、与突发性耳聋相关的信息以及实验室参数。进行单因素和多因素分析以确定突发性耳聋患者的独立预后危险因素。此外，我们还采用正交偏最小二乘判别分析（OPLS-DA）对这些纳入患者的数据进行分析。
分析纳入患者的基线临床特征。根据预后情况，将纳入患者分为总体有效组和无效组。在这两组之间进行单因素和多因素分析。发现年龄、初诊时听力曲线类型、急性期和突发性耳聋部位与突发性耳聋患者的预后独立相关（均P<0.05）。通过OPLS-DA发现，突发性耳聋部位是预测能力最高的指标。
年龄、初诊时听力曲线类型、急性期和突发性耳聋部位均与突发性耳聋患者的预后独立相关，因此需要予以重视。
