关键词: Central macular thickness Logistic regression Proliferative diabetic retinopathy ROC curve Risk factor Type-2 diabetes mellitus

来  源:   DOI:10.12669/pjms.40.4.7726   PDF(Pubmed)

Abstract:
UNASSIGNED: To investigate the relevant risk factors of proliferative diabetic retinopathy (PDR) in patients with Type-2 diabetes mellitus (T2DM) and their correlations with the central macular thickness (CMT).
UNASSIGNED: This is a retrospective study. The clinical data of 300 patients with T2DM were collected and divided into a PDR group (observation group) and non-PDR group (control group) according to the occurrence of PDR in Aier Eye Hospital (Taiyuan) from February 2019 to February 2022. The relevant risk factors were screened out through the t test and the χ2 test, and analyzed by logistic regression.
UNASSIGNED: Logistic regression analysis showed that systolic blood pressure, diastolic blood pressure, course of diabetes, fasting blood glucose (FBG), two hours postprandial blood glucose (two hours PBG) and urinary albumin were independent risk factors for T2DM complicated with PDR. ROC curve revealed that systolic blood pressure, course of diabetes and urinary albumin had the highest diagnostic efficiency. Correlation analysis demonstrated that CMT was positively correlated with systolic blood pressure, course of diabetes, HbA1c level and urinary albumin level.
UNASSIGNED: For patients with T2DM, blood pressure, course of diabetes, FBG, 2hPBG and urinary albumin are independent risk factors for PDR, and increased systolic blood pressure, course of diabetes, HbA1c level and urinary albumin level will increase CMT. Combining the above indexes to predict the occurrence of PDR has a synergistic effect, and the increase in systolic blood pressure, course of diabetes, HbA1c level and urinary albumin level will increase the CMT of the patients.
摘要:
探讨2型糖尿病(T2DM)患者发生增生性糖尿病视网膜病变(PDR)的相关危险因素及其与黄斑中心厚度(CMT)的相关性。
这是一项回顾性研究。收集2019年2月至2022年2月在爱尔眼科医院(太原)就诊的300例T2DM患者的临床资料,根据PDR发生情况分为PDR组(观察组)和非PDR组(对照组)。通过t检验和χ2检验筛选出相关危险因素,并进行Logistic回归分析。
Logistic回归分析显示收缩压、舒张压,糖尿病的病程,空腹血糖(FBG),餐后2小时血糖(2小时PBG)和尿白蛋白是T2DM合并PDR的独立危险因素。ROC曲线显示收缩压,糖尿病病程和尿白蛋白的诊断效率最高.相关分析显示CMT与收缩压呈正相关,糖尿病的病程,HbA1c水平和尿白蛋白水平。
对于T2DM患者,血压,糖尿病的病程,FBG,2hPBG和尿白蛋白是PDR的独立危险因素,收缩压升高,糖尿病的病程,HbA1c水平和尿白蛋白水平会增加CMT。综合上述指标预测PDR的发生具有协同作用,收缩压的升高,糖尿病的病程,HbA1c水平和尿白蛋白水平会增加患者的CMT。
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