Role of lymphocyte-to-monocyte ratio as a predictive marker for diabetic coronary artery disease: A cross-sectional study.

Pradeep Kumar Dabla, Dharmsheel Shrivastav, Pratishtha Mehra, Vimal Mehta
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Abstract

Background: The lymphocyte to monocyte ratio (LMR) is considered a marker of systemic inflammation in cardiovascular disease and acts as predictor of mortality in coronary artery disease.

Aim: To investigate the predictive role of LMR in diabetic coronary artery disease patients.

Methods: This cross-sectional study was conducted at tertiary care super-specialty hospital at New Delhi, India. A total of 200 angiography-proven coronary artery disease (CAD) patients were enrolled and grouped into two categories: Group I [CAD patients with type 2 diabetes mellitus (T2DM) and glycated hemoglobin (HbA1c) levels ≥ 6.5%], and Group II (CAD patients without T2DM and HbA1c levels < 6.5%). Serum lipoproteins, HbA1c, and complete blood count of enrolled patients were analyzed using fully automatic analyzers.

Results: The logistic regression analysis showed an odds ratio of 1.48 (95%CI: 1.28-1.72, P < 0.05) for diabetic coronary artery disease patients (Group I) in unadjusted model. After adjusting for age, gender, diet, smoking, and hypertension history, the odds ratio increased to 1.49 (95%CI: 1.29-1.74, P < 0.01) in close association with LMR. Further adjustment for high cholesterol and triglycerides yielded the same odds ratio of 1.49 (95%CI: 1.27-1.75, P < 0.01). Receiver operating characteristic curve analysis revealed 74% sensitivity, 64% specificity, and 0.74 area under the curve (95%CI: 0.67-0.80, P < 0.001), suggesting moderate predictive accuracy for diabetic CAD patients.

Conclusion: LMR showed positive association with diabetic coronary artery disease, with moderate predictive accuracy. These findings have implications for improving CAD management in diabetics, necessitating further research and targeted interventions.

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淋巴细胞与单核细胞比值作为糖尿病冠心病预测标志物的作用:一项横断面研究。
背景:淋巴细胞与单核细胞比值(LMR)被认为是心血管疾病全身炎症的标志物,也是冠心病死亡率的预测指标:这项横断面研究在印度新德里的三级超级专科医院进行。共招募了 200 名经血管造影证实的冠状动脉疾病(CAD)患者,并将其分为两组:第一组[患有 2 型糖尿病 (T2DM)且糖化血红蛋白 (HbA1c) 水平≥ 6.5% 的 CAD 患者]和第二组(无 T2DM 且 HbA1c 水平 < 6.5% 的 CAD 患者)。使用全自动分析仪对入选患者的血清脂蛋白、HbA1c和全血细胞计数进行分析:逻辑回归分析显示,在未经调整的模型中,糖尿病冠心病患者(I 组)的几率比为 1.48(95%CI:1.28-1.72,P<0.05)。在对年龄、性别、饮食、吸烟和高血压病史进行调整后,几率上升至 1.49(95%CI:1.29-1.74,P < 0.01),与 LMR 密切相关。进一步调整高胆固醇和甘油三酯后,几率比为 1.49(95%CI:1.27-1.75,P < 0.01)。接收者操作特征曲线分析显示,敏感性为74%,特异性为64%,曲线下面积为0.74(95%CI:0.67-0.80,P < 0.001),表明对糖尿病CAD患者的预测准确性适中:结论:LMR 与糖尿病冠状动脉疾病呈正相关,预测准确性中等。这些发现对改善糖尿病患者的冠状动脉疾病管理具有重要意义,需要进一步研究并采取有针对性的干预措施。
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