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临床试验/NCT02659995
NCT02659995Unknown不适用

Relationship Between Blood Glucose Levels and Variability and Infections Development in Critically Ill Patient

Università Politecnica delle Marche1 个研究点 分布在 1 个国家目标入组 3,300 人开始时间: 2016年2月最近更新:
适应症

试验速览

阶段
不适用
发起方
入组人数
3,300
试验地点
1
主要终点
Relationship between Glycemic Lability Index and arise of new infections.

研究概览

简要总结

Our multicenter prospective observational study aims to show the relationship between blood glucose levels and glycemic variability and the development of infections during the ICU stay and with outcome. Within the secondary endpoints, we will evaluate if a blood glucose range between 70 and 140 mg/dl is associated with an increasing surviving rate in non-diabetic critically ill patients.

MATERIALS AND METHODS Multicenter study (ICUs of some Italian University Hospitals). Written informed consent will be request before the inclusion of each patient in the study; if it will not be possible, an informing module will be given to the patient's family and the informed consent will be request to the patients as soon as possible.

Inclusion criteria: 300 patients consecutively admitted in each ICU from January 2016 and not later than 31/12/2018.

Exclusion criteria: age < 18, end-stage disease. Data collection An Excel database will be edited with these data about each patient: age, sex, type I or II diabetes, glycated hemoglobin, at-home antidiabetic therapy; admission diagnosis, admission SAPS II score; daily insulin administration (dose and route of administration, time of start, dose at the moment of glycemic measurement and min-max daily range); steroid therapy (molecule, daily dose, date of start and stop); antibiotic therapy (molecule, daily dose, date of start and stop); daily caloric and protein intake and type of nutrition; other therapies; mechanical ventilation (date of start and stop); blood lactates (worst daily value); daily leucocytes and differential white cells count; daily SOFA score; presence of infections (suspected or confirmed; site and microorganism and eventual Multidrug Resistance pattern); presence of sepsis (following SCCM criteria); length of ICU and hospital stay; outcome (ICU and hospital mortality).

Every blood glucose level measurement obtained will be registered with date and time.

Glycemic variability will be evaluated in terms of:

  • Standard deviation (SD)
  • Mean Amplitude of Glycemic Excursions (MAGE);
  • Coefficient of Variation (CV);
  • Glycemic Lability Index (GLI). STATISTICAL ANALYSIS Data analysis will be performed with Kolmogorov-Smirnov test; parametric and non-parametric s tests, t-test (or Mann-Whitney test), ROC Curve, binary logistic regression. Subgroups analysis.

Statistical significance: p < 0,05. SAMPLE SIZE 3300 patients.

详细描述

INTRODUCTION High blood glucose levels and insulin resistance are frequently registered in critically ill patients. In the past, hyperglycemia due to stress was considered as an adaptive body reaction to satisfy higher energetic requests. This theory has been re-discussed after Leuven's study in 2001, which demonstrated that a strict glycemic control, by means of intensive insulin administration, may reduce mortality in critically ill patients. However, more recent randomized controlled studies cannot confirm these results, showing how an intensive insulinic therapy can be associated to an higher risk of hypoglycemia and death.

Recently, the attention has been shifted on the issue of glycemic variability in the Intensive Care Units (ICU), that seems to be a better mortality predictor than the simple blood glucose level. A relationship between lower glycemic variability, normal glucose levels (range 72-125 mg/dl) and outcome improving has been investigated. An high glycemic variability it's been associated to an increased in-hospital mortality, also in patients having total parenteral nutrition (TPN) independently from the presence of episodes of hypo or hyperglycemia. Furthermore, an intensive insulinic therapy itself may lead to excessive blood glucose levels fluctuations as it brings to an increased risk of hypoglycemia, usually treated in an "aggressive" way. A recent retrospective study has evaluated the impact of glycemic variability and hypoglycemia on outcome in non critically ill patients (undergone insulin administration during the hospitalization), showing a strong correlation between hypoglycemia and an increasing of mortality rate. A recent work of Arnold and coll. showed that the application of a treatment protocol for hypoglycemia (using administration of 50% dextrose) in critically ill patients was able to obtain a reduction of glycemic variability, remaining safe in avoiding dangerous hypoglycemia.

However, the real causal relationship between glycemic variability and mortality has not yet been demonstrated. The increased oxydative stress due to wide glycemic fluctuations seems to play a leading role.

The altered glucidic homeostasis in the critically ill patient may also cause a disfunction of immune cells with an increased risk of infections: Hirshberg et al. have found an association between glycemic variability an the risk of nosocomial infections development in a population of pediatric critically ill patients, studied retrospectively. A correlation between high glycemic variability, development of sepsis and risk of nosocomial infections in burn patients has also been demonstrated. Recently, a study by Krinsley and Preiser has highlighted how keeping blood glucose levels in a range between 70 and 140 mg/dl is strongly associated with an increased surviving rate in non diabetic patients, independently from ICU length of stay and from the severity of the clinical conditions. Donati et al. have demonstrated, in a retrospective study, the relationship between glycemic variability and infections; however, it's not yet clear if the glycemic variability is a cause of an effect of infections. Indeed, "relationship" is not equivalent to "causality" and it's yet to be elucidated if an higher glycemic variability just represents a sign of a worse clinical condition or, conversely, really leads to an increased risk of nosocomial infections. In this last case, dedicated protocols should be mandatory, not only to normalize blood glucose levels but also to minimize excessive glycemic fluctuations.

STUDY PURPOSE Primary endpoint of this multicenter prospective observational study is to evaluate the relationship between blood glucose levels and glycemic variability and the development of nosocomial infection during ICU stay.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

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

入选标准

  • All the patients admitted in ICU

排除标准

  • age < 18, patients with end-stage disease with life expectancy shorter than 24 hours.

结局指标

主要结局

Relationship between Glycemic Lability Index and arise of new infections.

时间窗: Study frame: 1 year

Evaluation of the discriminatory power of Glycemic Lability Index (GLI) on infections development with AUC (ROC curve).

次要结局

  • Mortality(Study frame: 1 year)

研究者

发起方
Università Politecnica delle Marche
申办方类型
Other
责任方
Principal Investigator
主要研究者

Abele Donati, MD

Associate Professor of Anesthesiology

Università Politecnica delle Marche

研究点 (1)

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