Lingineni Varun Bhaskar, Mangudkar Sangram, Gokhale Vijayashree S, Malik Satbir, Yadav Ponvijaya
General Medicine, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, IND.
Cureus. 2024 Jul 21;16(7):e65018. doi: 10.7759/cureus.65018. eCollection 2024 Jul.
Diabetes mellitus (DM) is a common metabolic disorder characterized by hyperglycemia, leading to chronic complications, notably cardiovascular diseases such as coronary artery disease (CAD). Diabetic retinopathy (DR), a leading cause of blindness, may serve as a non-invasive marker for CAD. This study investigates the correlation between DR and CAD to explore its diagnostic potential in diabetic populations.
A cross-sectional study was conducted over one year in a general hospital, involving 100 type 2 DM patients with retinopathy. DR was classified as mild non-proliferative diabetic retinopathy (NPDR), moderate NPDR, severe NPDR, or proliferative retinopathy, based on fundus examinations. Data on age, duration of diabetes, cholesterol levels, glycated hemoglobin (HbA1C), and ECG (electrocardiography) findings were collected. Statistical analysis included frequency analysis, chi-square tests for association between categorical variables, and significance testing with p-values. Data were analyzed using IBM SPSS Statistics for Windows, Version 20.0 (Released 2011; IBM Corp., Armonk, New York, United States). Descriptive statistics were characterized by categorical and continuous variables. The chi-square test determined associations between qualitative variables, with significance set at p<0.05.
The mean age of patients was 57.13 ± 8.51 years. Age and duration of diabetes were significant predictors of retinopathy severity (p<0.001). Proliferative retinopathy was found exclusively in patients over 70 years. Lower cholesterol levels (<200 mg/dL) were significantly associated with less severe retinopathy (p=0.033), whereas higher cholesterol levels (>200 mg/dL) did not show a statistically significant association with retinopathy severity (p=0.772). Patients with HbA1C levels between 6.5% and 8.5% predominantly had milder forms of retinopathy, as indicated by the significant p-value (<0.001). In contrast, patients with HbA1C levels above 8.5% are more likely to have severe NPDR or proliferative diabetic retinopathy (PDR), but this association was not statistically significant (p=0.582). ECG abnormalities increased with retinopathy severity (p=0.002). Hypertension was significantly linked to cardiac changes in retinopathy patients (p<0.001), while smoking and family history of CAD were not significant factors. This study's cross-sectional design limits causality inference. The single-center sample of 100 patients may not be broadly generalizable. Reliance on self-reported data introduces potential recall bias, and confounding factors such as diet, physical activity, and additional comorbidities were not accounted for. The lack of a control group further limits comparative analysis. Future longitudinal studies with larger, diverse samples are needed.
Retinopathy in DM patients is significantly associated with cardiac changes and other risk factors such as hypertension, dyslipidemia, and poor glycemic control. Aggressive management of these factors is essential. Retinopathy can serve as a predictor of CAD in diabetic patients.
糖尿病(DM)是一种常见的代谢紊乱疾病,其特征为高血糖,可导致慢性并发症,尤其是心血管疾病,如冠状动脉疾病(CAD)。糖尿病视网膜病变(DR)是导致失明的主要原因之一,可能作为CAD的一种非侵入性标志物。本研究旨在调查DR与CAD之间的相关性,以探索其在糖尿病患者群体中的诊断潜力。
在一家综合医院进行了为期一年的横断面研究,纳入100例患有视网膜病变的2型糖尿病患者。根据眼底检查结果,将DR分为轻度非增殖性糖尿病视网膜病变(NPDR)、中度NPDR、重度NPDR或增殖性视网膜病变。收集了患者的年龄、糖尿病病程、胆固醇水平、糖化血红蛋白(HbA1C)以及心电图(ECG)检查结果等数据。统计分析包括频率分析、分类变量之间关联的卡方检验以及p值显著性检验。使用IBM SPSS Statistics for Windows 20.0版本(2011年发布;IBM公司,美国纽约州阿蒙克)对数据进行分析。描述性统计以分类变量和连续变量表示。卡方检验确定定性变量之间的关联,显著性设定为p<0.05。
患者的平均年龄为57.13±8.51岁。年龄和糖尿病病程是视网膜病变严重程度的显著预测因素(p<0.001)。增殖性视网膜病变仅在70岁以上的患者中发现。较低的胆固醇水平(<200mg/dL)与较轻的视网膜病变显著相关(p=0.033),而较高的胆固醇水平(>200mg/dL)与视网膜病变严重程度无统计学显著关联(p=0.772)。HbA1C水平在6.5%至8.5%之间的患者主要患有较轻形式的视网膜病变,p值具有显著性(<0.001)。相比之下,HbA1C水平高于8.5%的患者更有可能患有重度NPDR或增殖性糖尿病视网膜病变(PDR),但这种关联无统计学显著性(p=0.582)。ECG异常随着视网膜病变严重程度的增加而增加(p=0.002)。高血压与视网膜病变患者的心脏变化显著相关(p<0.001),而吸烟和CAD家族史并非显著因素。本研究的横断面设计限制了因果关系推断。100例患者的单中心样本可能无法广泛推广。依赖自我报告数据可能会引入潜在的回忆偏差,并且未考虑饮食、身体活动和其他合并症等混杂因素。缺乏对照组进一步限制了比较分析。未来需要进行更大规模、更多样化样本的纵向研究。
糖尿病患者的视网膜病变与心脏变化以及高血压、血脂异常和血糖控制不佳等其他危险因素显著相关。积极管理这些因素至关重要。视网膜病变可作为糖尿病患者CAD的预测指标。