Logistic regression analysis and risk model construction of choroidopathy sec-ondary to high myopia
10.13389/j.cnki.rao.2024.0010
- VernacularTitle:高度近视继发脉络膜病变的相关因素Logistic回归分析及风险模型构建
- Author:
Xiaohan HUANG
1
;
Shaohua TANG
Author Information
1. 102202 北京市,首都医科大学附属北京积水潭医院眼科
- Keywords:
high myopia;
choroidal atrophy;
choroidal neovascularization;
Logistic regression;
Nomogram model;
transforming growth factor β1
- From:
Recent Advances in Ophthalmology
2024;44(1):52-57
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the influencing factors of choroidopathy(choroidal atrophy and choroidal neovas-cularization)secondary to high myopia based on Logistic regression analysis and to construct a Nomogram risk prediction model based on the related factors,so as to provide guidance for clinical treatment.Methods A total of 340 patients(680 eyes)with high myopia admitted to Beijing Jishuitan Hospital from January 2021 to January 2023 were selected and di-vided into group A(170 patients,340 eyes)and group B(170 patients,340 eyes).The incidence of choroidopathy in the two groups was compared.The groups A and B were divided into two subgroups,subgroup a and subgroup b,according to whether choroidopathy occurred or not.Multivariate Logistic regression analysis was carried out to explore the influencing factors of choroidopathy secondary to high myopia.A Nomogram risk prediction model for choroidopathy secondary to high myopia was constructed based on the influencing factors and externally validated.Results In groups A and B,the age,proportion of diabetes mellitus,axial length,and level of seruim transforming growth factor β1(TGF-β1)of patients in subgroup a were higher than those in the subgroup b,and the diopter was lower than that in the subgroup b(all P＜0.05).The Logistic regression analysis showed that age,diabetes mellitus,axial length and serum TGF-β1 level were independent risk factors for choroidopathy secondary to high myopia,and diopter was a protective factor(all P＜0.05).Age,diabetes mellitus,axial length and serum TGF-β1 level were positively correlated risk factors for choroidopathy secondary to high myopia,and diopter was a negatively correlated risk factor(all P＜0.05).The area under the curve of the Nomogram risk prediction model for predicting choroidopathy secondary to high myopia was 0.818,and the calibration was good.Con-clusion Age,diabetes mellitus,axial length,diopter and serum TGF-β1 level are the influential factors for choroidopa-thy secondary to high myopia.The Nomogram risk prediction model established based on these factors has a certain value for predicting choroidopathy secondary to high myopia.The clinical therapeutic schedules should be made based on this model to reduce the risk of secondary choroidopathy.
