基于血浆脂蛋白的轻度糖尿病视网膜病变患者视力威胁糖尿病视网膜病变预测模型。

IF 3.6 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Journal of Diabetes Research Pub Date : 2023-10-25 eCollection Date: 2023-01-01 DOI:10.1155/2023/8831609
Yaxin An, Bin Cao, Kun Li, Yongsong Xu, Wenying Zhao, Dong Zhao, Jing Ke
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引用次数: 0

摘要

背景:越来越多的证据表明脂肪因子与糖尿病视网膜病变(DR)之间存在联系。本研究旨在探讨2型糖尿病(T2DM)高危人群中视力威胁性DR(STDR)的危险因素,并建立预测STDR的预后模型。方法:采用酶联免疫吸附法测定血浆脂肪因子浓度。在病例对照组中,进行主成分分析(PCA)以选择STDR的最佳预测细胞因子,包括严重非增殖性DR(NPDR)和增殖性DR。使用支持向量机(SVM)检查基线血浆脂肪因子的可能组合,以区分轻度NPDR患者,他们后来会发展为STDR。一个随访期为3年的个体前瞻性队列用于外部验证。结果:在涉及306名T2DM患者的训练和测试中,STDR组的血浆脂联素(APN)、瘦素和脂肪酸结合蛋白4(FABP4)的中位水平显著高于轻度NPDR组。除adipsin外,其他三种脂肪因子,FABP4、APN和瘦素,均通过PCA进行筛选并整合到SVM中。多元SVM分类模型的准确性在训练集(AUC=0.81,灵敏度=71%,特异度=91%)和测试集(AUC=0.77,灵敏度=61%,特异性=92%)中都是可接受的。110名患有轻度NPDR的T2DM患者(STDR的高危人群)被纳入外部验证。基于SVM,计算每个患者的风险。高危组STDR发生率高于低危组,分别按APN、FABP4和瘦素的中值进行分组。使用SVM在单个队列中验证了该模型,AUC、敏感性和特异性分别达到0.77、64%和91%。结论:脂联素、瘦素和FABP4被证明与DR的严重程度有关,可能是STDR的良好预测因子,表明脂肪因子可能在DR发展的病理生理学中发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Prediction Model for Sight-Threatening Diabetic Retinopathy Based on Plasma Adipokines among Patients with Mild Diabetic Retinopathy.

A Prediction Model for Sight-Threatening Diabetic Retinopathy Based on Plasma Adipokines among Patients with Mild Diabetic Retinopathy.

A Prediction Model for Sight-Threatening Diabetic Retinopathy Based on Plasma Adipokines among Patients with Mild Diabetic Retinopathy.

A Prediction Model for Sight-Threatening Diabetic Retinopathy Based on Plasma Adipokines among Patients with Mild Diabetic Retinopathy.

Background: Accumulating evidence has suggested a link between adipokines and diabetic retinopathy (DR). This study is aimed at investigating the risk factors for sight-threatening DR (STDR) and establishing a prognostic model for predicting STDR among a high-risk population of patients with type 2 diabetes mellitus (T2DM).

Methods: Plasma concentrations of adipokines were determined by enzyme-linked immunosorbent assay. In the case-control set, principal component analysis (PCA) was performed to select optimal predictive cytokines for STDR, involving severe nonproliferative DR (NPDR) and proliferative DR. Support vector machine (SVM) was used to examine the possible combination of baseline plasma adipokines to discriminate the patients with mild NPDR who will later develop STDR. An individual prospective cohort with a follow-up period of 3 years was used for the external validation.

Results: In both training and testing sets, involving 306 patients with T2DM, median levels of plasma adiponectin (APN), leptin, and fatty acid-binding protein 4 (FABP4) were significantly higher in the STDR group than those in mild NPDR. Except for adipsin, the other three adipokines, FABP4, APN, and leptin, were selected by PCA and integrated into SVM. The accuracy of the multivariate SVM classification model was acceptable in both the training set (AUC = 0.81, sensitivity = 71%, and specificity = 91%) and the testing set (AUC = 0.77, sensitivity = 61%, and specificity = 92%). 110 T2DM patients with mild NPDR, the high-risk population of STDR, were enrolled for external validation. Based on the SVM, the risk of each patient was calculated. More STDR occurred in the high-risk group than in the low-risk group, which were grouped by the median value of APN, FABP4, and leptin, respectively. The model was validated in an individual cohort using SVM with the AUC, sensitivity, and specificity reaching 0.77, 64%, and 91%, respectively.

Conclusions: Adiponectin, leptin, and FABP4 were demonstrated to be associated with the severity of DR and maybe good predictors for STDR, suggesting that adipokines may play an important role in the pathophysiology of DR development.

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来源期刊
Journal of Diabetes Research
Journal of Diabetes Research ENDOCRINOLOGY & METABOLISM-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
8.40
自引率
2.30%
发文量
152
审稿时长
14 weeks
期刊介绍: Journal of Diabetes Research is a peer-reviewed, Open Access journal that publishes research articles, review articles, and clinical studies related to type 1 and type 2 diabetes. The journal welcomes submissions focusing on the epidemiology, etiology, pathogenesis, management, and prevention of diabetes, as well as associated complications, such as diabetic retinopathy, neuropathy and nephropathy.
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