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Audiology

Development of clinical predictive nomograms for prognosis of idiopathic sudden sensorineural hearing loss

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Received 21 Apr 2024, Accepted 03 Jun 2024, Published online: 26 Jun 2024
 

Abstract

Background

The outcome of clinical treatment for idiopathic sudden sensorineural hearing loss (ISSNHL) is frequently the primary concern.

Aim

For the convenient prediction of reference prognosis outcomes in patients with ISSNHL.

Materials and methods

Patients diagnosed with ISSNHL who were admitted to the otorhinolaryngology ward of Zhejiang Provincial Hospital of Traditional Chinese Medicine from January 2020 to December 2023 were included. Univariate and multivariate logistic regression analyses were employed to identify independent prognostic factors for the treatment outcome of ISSNHL, which were subsequently used to develop nomograms. Discrimination, calibration, and clinical utility were assessed to evaluate the performance of the ISSNHL nomograms.

Results

371 ISSNHL patients were enrolled in this study. Multivariable logistic regression analysis showed that history of deafness, aural fullness, time of onset, and age were independent prognostic factors for ISSNHL patients, with statistically significant regression coefficients. Predictive nomograms were developed with excellent discrimination, calibration, and clinical value.

Conclusions

Leveraging data from ISSNHL patients, we developed a predictive nomogram to assess prognostic factors upon admission. This nomogram facilitates clinicians in approximating the likelihood of favorable prognosis.

Significance

By accumulating clinical data from ISSNHL patients, it’s anticipated that the possibility of recovery following treatment can be determined.

Chinese Abstract

背景

人们往往主要关注的是特发性突发性神经性听力损失(ISSNHL)的临床治疗结果。

目的

为了方便预测 ISSNHL 患者的参考预后结果。

材料和方法

纳入在 2020 年 1 月至 2023 年 12 月期间入住浙江省中医院耳鼻咽喉科病房的确诊为 ISSNHL 的患者。采用单变量和多变量逻辑回归分析来确定 ISSNHL 治疗结果的独立预后因素。这些因素随后用于绘制列线图。评估了鉴别力、校准和临床效用, 以评估 ISSNHL 列线图的性能。

结果

本研究纳入了 371 名 ISSNHL 患者。多变量逻辑回归分析显示, 耳聋史、耳胀、发病时间和年龄是 ISSNHL 患者的独立预后因素, 且回归系数具有统计学意义。所绘制的预测列线图具有很强的鉴别性、校准性和临床价值。

结论

我们用 ISSNHL 患者的数据, 在他们入院时绘制了一张预测列线图来评估预后因素。该列线图有助于临床医生估计良好预后的可能性。

意义

通过积累 ISSNHL 患者的临床数据, 预计可以确定治疗后康复的可能性。

Acknowledgements

Thanks to the owners of the materials, literature and research ideas that grant the right to reprint and cite.

Disclosure statement

No potential conflict of interest was reported by the author(s).

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