Analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapy
PurposeThis study explored the clinical characteristics of patients with tinnitus who responded to sound therapy and established a predictive model to evaluate the effectiveness of this therapy according to the clinical characteristics.MethodsA retrospective analysis was performed on 991 subjective...
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2024.1515953/full |
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| author | Hao Yuan Peng-Wei Ma Jia-Wei Chen Wei-Long Wang Wei Gao Pei-Heng Lu Xue-Rui Ding Yu-Qiang Lun Zi Wang Lian-Jun Lu |
| author_facet | Hao Yuan Peng-Wei Ma Jia-Wei Chen Wei-Long Wang Wei Gao Pei-Heng Lu Xue-Rui Ding Yu-Qiang Lun Zi Wang Lian-Jun Lu |
| author_sort | Hao Yuan |
| collection | DOAJ |
| description | PurposeThis study explored the clinical characteristics of patients with tinnitus who responded to sound therapy and established a predictive model to evaluate the effectiveness of this therapy according to the clinical characteristics.MethodsA retrospective analysis was performed on 991 subjective tinnitus patients who received compound sound therapy in the Department of Otolaryngology of the local hospital from November 2019 to January 2022.ResultsWe found that tinnitus patients with different therapeutic effects had significant differences in the tinnitus side (p = 0.007), tone loudness distortion feedback test (FBT) (p = 0.000), residual inhibition test (RIT) (p = 0.000), tinnitus frequency (p = 0.012) and sensation level (p = 0.023). The corresponding variables were screened by univariate logistic regression, and the selected variables were analyzed using multivariate logistic regression. The results showed that FBT (p = 0.003), RIT (p = 0.000) and tinnitus frequency (p = 0.029) were independent risk factors affecting the efficacy of compound sound therapy. A predictive model and nomogram for the efficacy of compound sound therapy for tinnitus were constructed based on independent risk factors. The area under the curve (AUC) of the model constructed in this study was 0.766 (95% CI = 0.725–0.807), indicating a certain prediction ability. The calibration curve revealed that the predicted results were in good agreement with the actual results.ConclusionThe model can predict the prognosis of tinnitus in patients receiving compound sound therapy and help otolaryngologists make the best clinical decisions regarding tinnitus treatment. |
| format | Article |
| id | doaj-art-72c85969fc67495db4b1cd8ebe6fe026 |
| institution | OA Journals |
| issn | 1664-2295 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-72c85969fc67495db4b1cd8ebe6fe0262025-08-20T02:20:55ZengFrontiers Media S.A.Frontiers in Neurology1664-22952024-12-011510.3389/fneur.2024.15159531515953Analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapyHao YuanPeng-Wei MaJia-Wei ChenWei-Long WangWei GaoPei-Heng LuXue-Rui DingYu-Qiang LunZi WangLian-Jun LuPurposeThis study explored the clinical characteristics of patients with tinnitus who responded to sound therapy and established a predictive model to evaluate the effectiveness of this therapy according to the clinical characteristics.MethodsA retrospective analysis was performed on 991 subjective tinnitus patients who received compound sound therapy in the Department of Otolaryngology of the local hospital from November 2019 to January 2022.ResultsWe found that tinnitus patients with different therapeutic effects had significant differences in the tinnitus side (p = 0.007), tone loudness distortion feedback test (FBT) (p = 0.000), residual inhibition test (RIT) (p = 0.000), tinnitus frequency (p = 0.012) and sensation level (p = 0.023). The corresponding variables were screened by univariate logistic regression, and the selected variables were analyzed using multivariate logistic regression. The results showed that FBT (p = 0.003), RIT (p = 0.000) and tinnitus frequency (p = 0.029) were independent risk factors affecting the efficacy of compound sound therapy. A predictive model and nomogram for the efficacy of compound sound therapy for tinnitus were constructed based on independent risk factors. The area under the curve (AUC) of the model constructed in this study was 0.766 (95% CI = 0.725–0.807), indicating a certain prediction ability. The calibration curve revealed that the predicted results were in good agreement with the actual results.ConclusionThe model can predict the prognosis of tinnitus in patients receiving compound sound therapy and help otolaryngologists make the best clinical decisions regarding tinnitus treatment.https://www.frontiersin.org/articles/10.3389/fneur.2024.1515953/fulltinnitussound therapyprognosisoutcome predictionnomogram |
| spellingShingle | Hao Yuan Peng-Wei Ma Jia-Wei Chen Wei-Long Wang Wei Gao Pei-Heng Lu Xue-Rui Ding Yu-Qiang Lun Zi Wang Lian-Jun Lu Analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapy Frontiers in Neurology tinnitus sound therapy prognosis outcome prediction nomogram |
| title | Analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapy |
| title_full | Analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapy |
| title_fullStr | Analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapy |
| title_full_unstemmed | Analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapy |
| title_short | Analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapy |
| title_sort | analysis of clinical characteristics and predictive model for effective treatment of tinnitus in patients with transient compound sound therapy |
| topic | tinnitus sound therapy prognosis outcome prediction nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2024.1515953/full |
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