基于多指标的糖尿病患者视网膜病变预测评估模型研究

doi:10.3969/j.issn.1006-5253.2023.06.001

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Abstract Objective To make a statistical analysis and study on disease prediction based on the data of disease, physiological and biochemical indicators in the data warehouse of diabetic patients.Methods Through the chi-square test, Cochran-Armitage trends, and nonparametric test, the differences in demographic characteristics, chronic disease comorbidity, physiological and biochemical indexes distribution of diabetic retinopathy were statistically inferred. Fisher discriminant analysis was used to screen the value of diabetic retinopathy.Results In diabetic patients in the lower age group, the coincidence of retinopathy was higher in diabetic patients with hypertension, stroke, fatty liver, kidney disease, kidney failure, lower limb artery disease, and blood disease, and the difference was statistically significant (P＜0.05). The coincidence of retinopathy in diabetic patients increased with the increase of the types of common diseases (χ²=50.527, P<0.001). Nephropathy, renal failure, hematopathy, lower extremity artery disease, other endocrine diseases and multipathic comorbidities were adverse factors for diabetic retinopathy. Urinary microprotein and glycosylated hemoglobin indexes were important for predicting retinopathy in diabetic patients.Conclusion There are statistical differences in the disease, physiological and biochemical indexes of diabetic patients with retinopathy. By the data of chronic disease comorbidities, physiological and biochemical indexes of diabetic patients can better predict whether retinopathy is complicated or not.

Key words： diabetic retinopathy disease prediction Fisher discriminant analysis

Received: 07 June 2023

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	Articles by authors
	Zhang Juanjuan
	Zhao Yan
	Xu Wang
	Qiu Fangyuan
	Xu Jianqiang

Cite this article:

Zhang Juanjuan,Zhao Yan,Xu Wang, et al. Prediction and evaluation model of diabetic retinopathy based on multiple indicators[J]. journal1, 2023, 30(6): 401-407.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2023.06.001 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2023/V30/I6/401

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