Development and validation for multifactor prediction model of sudden sensorineural hearing loss
BackgroundSudden sensorineural hearing loss (SSNHL) is a global problem threatening human health. Early and rapid diagnosis contributes to effective treatment. However, there is a lack of effective SSNHL prediction models.MethodsA retrospective study of SSNHL patients from Fujian Geriatric Hospital...
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Frontiers Media S.A.
2023-05-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2023.1134564/full |
| _version_ | 1797824081316282368 |
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| author | Chaojun Zeng Chaojun Zeng Chaojun Zeng Yunhua Yang Shuna Huang Shuna Huang Wenjuan He Zhang Cai Dongdong Huang Chang Lin Chang Lin Junying Chen Junying Chen |
| author_facet | Chaojun Zeng Chaojun Zeng Chaojun Zeng Yunhua Yang Shuna Huang Shuna Huang Wenjuan He Zhang Cai Dongdong Huang Chang Lin Chang Lin Junying Chen Junying Chen |
| author_sort | Chaojun Zeng |
| collection | DOAJ |
| description | BackgroundSudden sensorineural hearing loss (SSNHL) is a global problem threatening human health. Early and rapid diagnosis contributes to effective treatment. However, there is a lack of effective SSNHL prediction models.MethodsA retrospective study of SSNHL patients from Fujian Geriatric Hospital (the development cohort with 77 participants) was conducted and data from First Hospital of Putian City (the validation cohort with 57 participants) from January 2018 to December 2021 were validated. Basic characteristics and the results of the conventional coagulation test (CCT) and the blood routine test (BRT) were then evaluated. Binary logistic regression was used to develop a prediction model to identify variables significantly associated with SSNHL, which were then included in the nomogram. The discrimination and calibration ability of the nomogram was evaluated by receiver operating characteristic (ROC), calibration plot, and decision curve analysis both in the development and validation cohorts. Delong’s test was used to calculate the difference in ROC curves between the two cohorts.ResultsThrombin time (TT), red blood cell (RBC), and granulocyte–lymphocyte ratio (GLR) were found to be associated with the diagnosis of SSNHL. A prediction nomogram was constructed using these three predictors. The AUC in the development and validation cohorts was 0.871 (95% CI: 0.789–0.953) and 0.759 (95% CI: 0.635–0.883), respectively. Delong’s test showed no significant difference in the ROC curves between the two groups (D = 1.482, p = 0.141).ConclusionIn this study, a multifactor prediction model for SSNHL was established and validated. The factors included in the model could be easily and quickly accessed, which could help physicians make early diagnosis and clinical treatment decisions. |
| first_indexed | 2024-03-13T10:33:41Z |
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| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-03-13T10:33:41Z |
| publishDate | 2023-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-0e2051080d3e4e1eabdb7f468645ed932023-05-18T07:34:42ZengFrontiers Media S.A.Frontiers in Neurology1664-22952023-05-011410.3389/fneur.2023.11345641134564Development and validation for multifactor prediction model of sudden sensorineural hearing lossChaojun Zeng0Chaojun Zeng1Chaojun Zeng2Yunhua Yang3Shuna Huang4Shuna Huang5Wenjuan He6Zhang Cai7Dongdong Huang8Chang Lin9Chang Lin10Junying Chen11Junying Chen12Department of Otorhinolaryngology Head and Neck Surgery, Fujian Institute of Otorhinolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaNational Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, First Hospital of Putian City, Putian, Fujian, ChinaDepartment of Otolaryngology, Fujian Provincial Geriatric Hospital, Fuzhou, ChinaNational Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaDepartment of Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaClinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, First Hospital of Putian City, Putian, Fujian, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, First Hospital of Putian City, Putian, Fujian, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, Fujian Institute of Otorhinolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaNational Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaNational Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaCentral Laboratory, Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, ChinaBackgroundSudden sensorineural hearing loss (SSNHL) is a global problem threatening human health. Early and rapid diagnosis contributes to effective treatment. However, there is a lack of effective SSNHL prediction models.MethodsA retrospective study of SSNHL patients from Fujian Geriatric Hospital (the development cohort with 77 participants) was conducted and data from First Hospital of Putian City (the validation cohort with 57 participants) from January 2018 to December 2021 were validated. Basic characteristics and the results of the conventional coagulation test (CCT) and the blood routine test (BRT) were then evaluated. Binary logistic regression was used to develop a prediction model to identify variables significantly associated with SSNHL, which were then included in the nomogram. The discrimination and calibration ability of the nomogram was evaluated by receiver operating characteristic (ROC), calibration plot, and decision curve analysis both in the development and validation cohorts. Delong’s test was used to calculate the difference in ROC curves between the two cohorts.ResultsThrombin time (TT), red blood cell (RBC), and granulocyte–lymphocyte ratio (GLR) were found to be associated with the diagnosis of SSNHL. A prediction nomogram was constructed using these three predictors. The AUC in the development and validation cohorts was 0.871 (95% CI: 0.789–0.953) and 0.759 (95% CI: 0.635–0.883), respectively. Delong’s test showed no significant difference in the ROC curves between the two groups (D = 1.482, p = 0.141).ConclusionIn this study, a multifactor prediction model for SSNHL was established and validated. The factors included in the model could be easily and quickly accessed, which could help physicians make early diagnosis and clinical treatment decisions.https://www.frontiersin.org/articles/10.3389/fneur.2023.1134564/fullsudden sensorineural hearing losspredictionnomogramthrombin timered blood cellgranulocyte lymphocyte ratio |
| spellingShingle | Chaojun Zeng Chaojun Zeng Chaojun Zeng Yunhua Yang Shuna Huang Shuna Huang Wenjuan He Zhang Cai Dongdong Huang Chang Lin Chang Lin Junying Chen Junying Chen Development and validation for multifactor prediction model of sudden sensorineural hearing loss Frontiers in Neurology sudden sensorineural hearing loss prediction nomogram thrombin time red blood cell granulocyte lymphocyte ratio |
| title | Development and validation for multifactor prediction model of sudden sensorineural hearing loss |
| title_full | Development and validation for multifactor prediction model of sudden sensorineural hearing loss |
| title_fullStr | Development and validation for multifactor prediction model of sudden sensorineural hearing loss |
| title_full_unstemmed | Development and validation for multifactor prediction model of sudden sensorineural hearing loss |
| title_short | Development and validation for multifactor prediction model of sudden sensorineural hearing loss |
| title_sort | development and validation for multifactor prediction model of sudden sensorineural hearing loss |
| topic | sudden sensorineural hearing loss prediction nomogram thrombin time red blood cell granulocyte lymphocyte ratio |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2023.1134564/full |
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