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Construction and verification of visual disability risk prediction model in patients with diabetic retinopathy
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Xu-ting DONG1, Xiao-hu WANG2, Fang XU2, Ting GU2, Pin-ting CHEN2
Modern Preventive Medicine | 2024, 51(2) : 328 - 334
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Modern Preventive Medicine | 2024, 51(2): 328-334
Disease Control and Prevention
Construction and verification of visual disability risk prediction model in patients with diabetic retinopathy
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Xu-ting DONG1, Xiao-hu WANG2, Fang XU2, Ting GU2, Pin-ting CHEN2
Affiliations
  • AnHui College of Traditional Chinese Medicine, Wuhu, AnHui 241000, China
Published: 2024-01-25 doi: 10.20043/j.cnki.MPM.202306321
Outline
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Objective

To establish a model for predicting the risk of visual disability in patients with diabetic retinopathy and verify it externally.

Methods

A total of 383 DR Patients who received ophthalmology treatment in a tertiary eye hospital in Anhui Province from April to December 2022 were conveniently selected as the modeling group to construct a visual disability risk prediction model and test the prediction effect. It was convenient to select 165 patients with diabetic retinopathy from January 2023 to April 2023 in this hospital as the verification group for external verification.

Results

The incidence of visual disability in the modeling group was 51.70%. Gender, living style, whether suffering from other chronic diseases, regular revisit, DR Stage, number of diseased eyes, intraocular pressure value and family history of diabetes were the influencing factors(P< 0.05). The final regression equation was as follows: Logit(P) =-8.825+0.797×sex-0.874×residence style+1.504×whether you have other chronic diseases-0.871×whether you have regular follow-up visits +0.743×DR Stage+1.250×number of diseased eyes+0.166×intraocular pressure value +0.920×family history of diabetes. The Hosmer-Lemeshow test of the modeling group showed that x2=12.861, P=0.117, area under ROC curve was 0.838, 95% CI(0.795, 0.882), sensitivity was 0.737, specificity was 0.809. The Hosmer-Lemeshow test of the verification group showed that x2=15.141, P=0.056, area under ROC curve was 0.785, 95%CI was 0.704 - 0.866, sensitivity was 0.795, specificity was 0.727, accuracy was 75.76%.

Conclusion

The prediction effect of this model is good, and it can provide reference for clinical evaluation of the risk of visual disability in diabetic retinopathy patients.

Diabetic retinopathy  /  Visual disability  /  Risk  /  Prediction model
Xu-ting DONG, Xiao-hu WANG, Fang XU, Ting GU, Pin-ting CHEN. Construction and verification of visual disability risk prediction model in patients with diabetic retinopathy[J]. Modern Preventive Medicine, 2024 , 51 (2) : 328 -334 . DOI: 10.20043/j.cnki.MPM.202306321
Year 2024 volume 51 Issue 2
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Article Info
doi: 10.20043/j.cnki.MPM.202306321
  • Receive Date:2023-06-17
  • Online Date:2026-03-19
  • Published:2024-01-25
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  • Received:2023-06-17
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    AnHui College of Traditional Chinese Medicine, Wuhu, AnHui 241000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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