跳至主要内容
临床试验/NCT01083043
NCT01083043已完成不适用

Glycemic Variability Predicts Endothelial Dysfunction

NYU Langone Health1 个研究点 分布在 1 个国家目标入组 28 人开始时间: 2006年12月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
28
试验地点
1
主要终点
Serum levels of endothelial dysfunction biomarkers and glycemic variability

研究概览

简要总结

It is well known that lowering average blood glucose decreases the risk of diabetic complications involving the small vessels, such as those found in the eyes, nerves and kidney. It is less clear however, if controlling fluctuations in blood glucose will further help to prevent such complications.

The purpose of this study is to examine the relationship between extreme fluctuations in glucose and damage to the blood vessel lining.

详细描述

Studies have shown that glycemic variability is associated with oxidative stress which in turn has been correlated with endothelial damage. Further, endothelial damage has been identified as a critical event lending way to the vascular complications seen in many disease states.

The specific aim of this study is to investigate the relationship between short-term glycemic variability and biomarkers of endothelial dysfunction while analyzing the influence of different variables and adjusting for covariates.

Data obtained from a continuous glucose monitoring system(CGMS), a device that continuously records interstitial glucose for a 72 hour period, is used to calculate glycemic variability. Serology for the determination of endothelial dysfunction biomarkers is obtained on day three.

Pearson and Spearman Rank Order correlations are utilized to determine whether there are any significant correlations between measures of glycemic variability and biomarker levels of endothelial dysfunction. Multiple regression analysis would also determine if glycemic variability predicts elevated biomarker levels even after controlling for other variables.

Provided the high prevalence of diabetic complications and their staggering socioeconomic costs, it is important to elucidate the relationship between glycemic variability and endothelial dysfunction.

研究设计

研究类型
Observational
观察模型
Case Only
时间视角
Prospective

入排标准

年龄范围
18 Years 至 65 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adult subjects with Type 2 Diabetes Mellitus and glycosylated hemoglobin <8.0%

排除标准

  • Age <18 or >65
  • Baseline glycosylated hemoglobin <6.0% or >8.0%
  • Winthrop University Hospital Employee or Staff member
  • Vulnerable subject
  • Uncontrolled hypertension(defined as systolic blood pressure >130 or diastolic blood pressure >80mmHg)
  • Uncontrolled dyslipidemia (defined as LDL >130mg/dL; HDL <30mg/dL or triglycerides >199mg/dL)
  • Current smoker or significant smoke exposure(defined as greater than 2 hours of exposure to second-hand smoke within the preceding 48hrs)
  • Sympathomimetic use within the past week
  • History of cardiovascular disease
  • History of paroxysmal nocturnal hemoglobinuria
  • History of thrombotic thrombocytopenic purpura
  • History of stage II-V Chronic Kidney Disease

结局指标

主要结局

Serum levels of endothelial dysfunction biomarkers and glycemic variability

时间窗: Day 3 of study enrollment

The following biomarkers are studied: soluble e-selectin, vascular cell adhesion molecule-1, intercellular adhesion molecule-1 and asymmetric dimethylarginine. These analytes are highly correlated to endothelial dysfunction.

次要结局

  • Metabolic parameters and glycemic variability(Day 3 of study enrollment)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

Loading locations...

相似试验