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Updated: Oct 10, 2025
Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
Published on: January 25, 2016
[Construction and evaluation of a model for predicting ischemic stroke risk in patients with sudden sensorineural
Fengxiang Bao1, Chengjun Yang2, Guohui Zhou3
1Department of Otolaryngology Head and Neck Surgery，the First Affiliated Hospital of Kangda College of Nanjing Medical University，the Affiliated Lianyungang Hospital of Xuzhou Medical University，the First People's Hospital of Lianyungang，Lianyungang，222061，China.
Insights
This study developed a risk prediction model for sudden sensorineural hearing loss (SNHL) complicated with ischemic stroke. The model effectively identifies patients at risk, aiding early clinical screening and intervention.
Area of Science:
- Neurology
- Otolaryngology
- Cardiology
Background:
- Sudden sensorineural hearing loss (SNHL) can be complicated by ischemic stroke, necessitating risk identification.
- Predicting the risk of ischemic stroke in SNHL patients is crucial for timely intervention.
Purpose of the Study:
- To identify factors associated with SNHL complicated by ischemic stroke.
- To construct and validate a predictive model for ischemic stroke risk in SNHL patients.
Main Methods:
- Retrospective analysis of 901 SNHL patients (2017-2020).
- Univariate and multivariate logistic regression to identify independent risk factors.
- Development and internal validation of a risk prediction model using a 7:3 ratio split (modeling vs. validation groups).
- Evaluation of model performance using Hosmer-Lemeshow tests and ROC curves.
Main Results:
- Key independent risk factors identified: Age, NEUR, homocysteine (Hcy), FIB, TC-HDL-C, and cervical vascular plaque.
- The prediction model demonstrated good performance with an area under the ROC curve of 0.846 in the modeling group and 0.847 in the validation group.
- The model showed high sensitivity and specificity for predicting ischemic stroke risk in SNHL patients.
Conclusions:
- A novel risk prediction model for ischemic stroke in SNHL patients has been developed.
- The model exhibits strong predictive efficiency, supporting its use in clinical settings.
- This tool can assist in early screening and intervention for SNHL patients at risk of ischemic stroke.
Abstract:
Objective:To explore the related factors of sudden sensorineural hearing loss complicated with ischemic stroke, construct the risk prediction model, and verify the prediction effect of the model. Methods:A retrospective analysis was performed on 901 sudden sensorineural hearing loss patients hospitalized from January 2017 to December 2020, The patients were divided into the ischemic stroke group（100 cases） and the sudden deafness group（801 cases） according to whether they were complicated with ischemic stroke, The independent correlation factors of sudden deafness complicated with ischemic stroke were screened by univariate analysis and multivariate Logistic regression model, and the risk prediction model and internal verification were established. The original data were randomly divided into the modeling group（631 cases） and the validation group（270 cases） at a 7∶3 ratio. Hosmer-Lemeshow and receiver operating characteristic curve were used to test the goodness of fit and predictive effect of the model, and 270 patients were included again in the application research of the model and to test the prediction effect of the model. Results:The results of single factor analysis showed that age, NEUR, NC, NLR, PLR, TC, HDL-C, BUN, TC-HDL-C, TG/HDL-C, LDL-C/HDL-C, Hcy, FIB and cervical vascular plaque were related factors of sudden sensorineural hearing loss complicated with ischemic stroke（P<0.05）. Age（OR=2.816）, NEUR（OR=2.707）, Hcy（OR=88.833）, FIB（OR=1.389）, TC-HDL-C（OR=1.613）, cervical vascular plaque（OR=2.862） are the independent risk factors of SNHL complicated with ischemic stroke. These 6 factors are used to construct a prediction model. Hosmer-lemeshow test results, the area under the ROC curve of the modeling group was 0.846, P=0.555, Youden index was 0.564, sensitivity was 0.820, and specificity was 0.744. In the validation group, the area under ROC curve was 0.847, P=0.288, Youden index was 0.432, sensitivity was 0.783, and specificity was 0.649. Conclusion:The risk prediction model constructed in this study shows good prediction efficiency. which can provide references for the clinical screening of ischemic stroke risks in patients with sudden sensorineural hearing loss and early interventions in early stage.
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