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Association of different biomarkers of renal function with D-dimer levels in patients with type 1 diabetes mellitus (renal biomarkers and D-dimer in diabetes)

机译:1型糖尿病患者D-二聚体水平的不同生物标志物与糖尿病患者(糖尿病肾生物标志物和D-二聚体)的肾功能

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摘要

ABSTRACT Objective This study aimed to evaluate the association between different renal biomarkers with D-Dimer levels in diabetes mellitus (DM1) patients group classified as: low D-Dimer levels (< 318 ng/mL), which included first and second D-Dimer tertiles, and high D-Dimer levels (≥ 318 ng/mL), which included third D-Dimer tertile. Materials and methods D-Dimer and cystatin C were measured by ELISA. Creatinine and urea were determined by enzymatic method. Estimated glomerular filtration rate (eGFR) was calculated using CKD-EPI equation. Albuminuria was assessed by immunoturbidimetry. Presence of renal disease was evaluated using each renal biomarker: creatinine, urea, cystatin C, eGFR and albuminuria. Bivariate logistic regression analysis was performed to assess which renal biomarkers are associated with high D-Dimer levels and odds ratio was calculated. After, multivariate logistic regression analysis was performed to assess which renal biomarkers are associated with high D-Dimer levels (after adjusting for sex and age) and odds ratio was calculated. Results Cystatin C presented a better association [OR of 9.8 (3.8–25.5)] with high D-Dimer levels than albuminuria, creatinine, eGFR and urea [OR of 5.3 (2.2–12.9), 8.4 (2.5–25.4), 9.1 (2.6–31.4) and 3.5 (1.4–8.4), respectively] after adjusting for sex and age. All biomarkers showed a good association with D-Dimer levels, and consequently, with hypercoagulability status, and cystatin C showed the best association among them. Conclusion Therefore, cystatin C might be useful to detect patients with incipient diabetic kidney disease that present an increased risk of cardiovascular disease, contributing to an early adoption of reno and cardioprotective therapies.
机译:摘要目的本研究旨在评估不同肾脏生物标志物与糖尿病(DM1)患者组的D-二聚体水平之间的关联分类为:低D-二聚体水平(<318 ng / mL),包括第一和第二D-二聚体截头,和高D-二聚体水平(≥318ng/ ml),其中包括第三D-二聚体塔利亚杆菌。通过ELISA测量材料和方法D-二聚体和胱抑素C.通过酶法测定肌酐和尿素。使用CKD-EPI方程计算估计的肾小球过滤速率(EGFR)。通过免疫浊法评估白蛋白尿。使用每种肾脏生物标志物评估肾病的存在:肌酐,尿素,胱抑素C,EGFR和白蛋白尿。进行双变量物流回归分析以评估哪种肾生物标志物与高D-二聚体水平相关,并且计算了多项比率。之后,进行多元逻辑回归分析以评估哪些肾生物标志物与高D-二聚体水平相关(调整性和年龄后),计算差距。结果Cystatin C呈现出更好的关联[或9.8(3.8-25.5)],具有比白粉尿,肌酐,EGFR和尿素的高D-二聚体水平[或5.3(2.2-12.9),8.4(2.5-25.4),9.1( 2.6-31.4)和3.5(1.4-8.4),分别调整性和年龄后。所有生物标志物都表现出与D-二聚体水平的良好关系,因此,具有高凝血性状态,胱抑素C显示最佳关联。结论因此,胱抑素C可能有助于检测诱导糖尿病肾病的患者,该糖尿病肾脏疾病提高心血管疾病风险增加,有助于早期采用雷诺和心脏保护疗法。

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