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Clinical Features and Influencing Factors for the Prognosis of Patients With Sudden Deafness.
Lin, Wei; Xiong, Gaoyun; Yan, Kailei; Yu, Wumin; Xie, Xiaoxing; Xiang, Ze; Wu, Jian; Ge, Yanping; Wang, Ying.
Afiliación
  • Lin W; Department of Otolaryngology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
  • Xiong G; Department of Otolaryngology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
  • Yan K; The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
  • Yu W; Basic Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
  • Xie X; Department of Otolaryngology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
  • Xiang Z; Zhejiang University School of Medicine, Hangzhou, China.
  • Wu J; Department of Clinical Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
  • Ge Y; Department of Otolaryngology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
  • Wang Y; Department of Infection Management, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Front Neurol ; 13: 905069, 2022.
Article en En | MEDLINE | ID: mdl-35720064
Backgrounds: Studies on risk factors influencing the prognosis of patients with sudden onset deafness are lacking. Methods: 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. Results: 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 P < 0.05). Through the OPLS-DA, the sudden deafness site was found to be an indicator with the highest predictive power. Conclusions: 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza