Research on Establishing Corneal Edema after Phacoemulsification Prediction Model Based on Variable Selection with Copula Entropy
Background: Corneal edema (CE) affects the outcome of phacoemulsification. Effective ways to predict the CE after phacoemulsification are needed. Methods: On the basis of data from patients conforming to the protocol of the AGSPC trial, 17 variables were selected to predict CE after phacoemulsificat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/12/4/1290 |
| _version_ | 1797620251863547904 |
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| author | Yu Luo Guangcan Xu Hongyu Li Tianju Ma Zi Ye Zhaohui Li |
| author_facet | Yu Luo Guangcan Xu Hongyu Li Tianju Ma Zi Ye Zhaohui Li |
| author_sort | Yu Luo |
| collection | DOAJ |
| description | Background: Corneal edema (CE) affects the outcome of phacoemulsification. Effective ways to predict the CE after phacoemulsification are needed. Methods: On the basis of data from patients conforming to the protocol of the AGSPC trial, 17 variables were selected to predict CE after phacoemulsification by constructing a CE nomogram through multivariate logistic regression, which was improved via variable selection with copula entropy. The prediction models were evaluated using predictive accuracy, the area under the receiver operating characteristic curve (AUC), and decision curve analysis (DCA). Results: Data from 178 patients were used to construct prediction models. After copula entropy variable selection, which shifted the variables used for prediction in the CE nomogram from diabetes, best corrected visual acuity (BCVA), lens thickness and cumulative dissipated energy (CDE) to CDE and BCVA in the Copula nomogram, there was no significant change in predictive accuracy (0.9039 vs. 0.9098). There was also no significant difference in AUCs between the CE nomogram and the Copula nomogram (0.9637, 95% CI 0.9329–0.9946 vs. 0.9512, 95% CI 0.9075–0.9949; <i>p</i> = 0.2221). DCA suggested that the Copula nomogram has clinical application. Conclusions: This study obtained a nomogram with good performance to predict CE after phacoemulsification, and showed the improvement of copula entropy for nomogram models. |
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| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-11T08:38:30Z |
| publishDate | 2023-02-01 |
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| series | Journal of Clinical Medicine |
| spelling | doaj.art-36485c5de0cf4c92a3cd04f0e2fb524a2023-11-16T21:17:30ZengMDPI AGJournal of Clinical Medicine2077-03832023-02-01124129010.3390/jcm12041290Research on Establishing Corneal Edema after Phacoemulsification Prediction Model Based on Variable Selection with Copula EntropyYu Luo0Guangcan Xu1Hongyu Li2Tianju Ma3Zi Ye4Zhaohui Li5Medical School of Chinese People’s Liberation Army, No. 28 Fuxing Road, Haidian District, Beijing 100853, ChinaDepartment of Ophthalmology, Chinese People’s Liberation Army General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, ChinaMedical School of Chinese People’s Liberation Army, No. 28 Fuxing Road, Haidian District, Beijing 100853, ChinaDepartment of Ophthalmology, Chinese People’s Liberation Army General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, ChinaDepartment of Ophthalmology, Chinese People’s Liberation Army General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, ChinaMedical School of Chinese People’s Liberation Army, No. 28 Fuxing Road, Haidian District, Beijing 100853, ChinaBackground: Corneal edema (CE) affects the outcome of phacoemulsification. Effective ways to predict the CE after phacoemulsification are needed. Methods: On the basis of data from patients conforming to the protocol of the AGSPC trial, 17 variables were selected to predict CE after phacoemulsification by constructing a CE nomogram through multivariate logistic regression, which was improved via variable selection with copula entropy. The prediction models were evaluated using predictive accuracy, the area under the receiver operating characteristic curve (AUC), and decision curve analysis (DCA). Results: Data from 178 patients were used to construct prediction models. After copula entropy variable selection, which shifted the variables used for prediction in the CE nomogram from diabetes, best corrected visual acuity (BCVA), lens thickness and cumulative dissipated energy (CDE) to CDE and BCVA in the Copula nomogram, there was no significant change in predictive accuracy (0.9039 vs. 0.9098). There was also no significant difference in AUCs between the CE nomogram and the Copula nomogram (0.9637, 95% CI 0.9329–0.9946 vs. 0.9512, 95% CI 0.9075–0.9949; <i>p</i> = 0.2221). DCA suggested that the Copula nomogram has clinical application. Conclusions: This study obtained a nomogram with good performance to predict CE after phacoemulsification, and showed the improvement of copula entropy for nomogram models.https://www.mdpi.com/2077-0383/12/4/1290corneal edemaphacoemulsificationnomogramprediction modelcopula entropy |
| spellingShingle | Yu Luo Guangcan Xu Hongyu Li Tianju Ma Zi Ye Zhaohui Li Research on Establishing Corneal Edema after Phacoemulsification Prediction Model Based on Variable Selection with Copula Entropy Journal of Clinical Medicine corneal edema phacoemulsification nomogram prediction model copula entropy |
| title | Research on Establishing Corneal Edema after Phacoemulsification Prediction Model Based on Variable Selection with Copula Entropy |
| title_full | Research on Establishing Corneal Edema after Phacoemulsification Prediction Model Based on Variable Selection with Copula Entropy |
| title_fullStr | Research on Establishing Corneal Edema after Phacoemulsification Prediction Model Based on Variable Selection with Copula Entropy |
| title_full_unstemmed | Research on Establishing Corneal Edema after Phacoemulsification Prediction Model Based on Variable Selection with Copula Entropy |
| title_short | Research on Establishing Corneal Edema after Phacoemulsification Prediction Model Based on Variable Selection with Copula Entropy |
| title_sort | research on establishing corneal edema after phacoemulsification prediction model based on variable selection with copula entropy |
| topic | corneal edema phacoemulsification nomogram prediction model copula entropy |
| url | https://www.mdpi.com/2077-0383/12/4/1290 |
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