Development and validation of a visual impairment prediction nomogram in chronic kidney diseases: the National Health and Nutrition Examination Survey, 1999-2008
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Corresponding Author:

Xu-Fang Sun. Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China. sunxufang2016@163.com

Fund Project:

Supported by Key Research and Development Program of Hubei Province (No.2022BCA011).

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    Abstract:

    AIM: To develop a nomogram to predict the risk of visual impairment (VI) in patients with chronic kidney disease (CKD). METHODS: Totally 897 patients with CKD were selected from the National Health and Nutrition Examination Survey (NHANES). The training and validation sets were divided in a 7:3 ratio. Multivariate logistic regression and bidirectional stepwise regression was used to select the factor of developing nomogram. The performance of the nomogram was evaluated by receiver operator characteristic curve, calibration curve and decision curve analysis (DCA). RESULTS: Age, diastolic blood pressure, glucose, serum creatinine, income at or above poverty, and history of smoking were included in the nomogram. And the area under the receiver operating characteristic curve of the training and validation sets were 0.684 and 0.640, respectively. The fit of the model was demonstrated the calibration curve, and DCA showed the value of clinical application. CONCLUSION: The nomogram may help to screening the probability of VI in patients with CKD. Larger samples are needed to validate and improve the model to increase its efficacy.

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Yu-He Tan, Jia-Qi Li, Xu-Fang Sun. ,/et al.Development and validation of a visual impairment prediction nomogram in chronic kidney diseases: the National Health and Nutrition Examination Survey, 1999-2008. Int J Ophthalmol, 2025,18(5):919-924

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Publication History
  • Received:August 28,2024
  • Revised:November 10,2024
  • Online: May 18,2025