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临床试验/NCT03016845
NCT03016845已完成不适用

Pharmacokinetics of Ciprofloxacin in Critically Ill Patients - a Screening Study to Assess the Feasibility of Renal Function Markers to Predict Ciprofloxacin Clearance (CAPOEIRA)

Radboud University Medical Center4 个研究点 分布在 1 个国家目标入组 40 人开始时间: 2017年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
40
试验地点
4
主要终点
model for estimation of renal function that most accurately predicts ciprofloxacin clearance

研究概览

简要总结

Optimal understanding of ciprofloxacin pharmacokinetics in critically ill patients is lacking resulting in large variation of achieved exposure and possible inadequate therapy. The investigators hypothesize that drug dosing based on CKD-EPIcr-cys provides a useful method to individualize and optimize therapy for ciprofloxacin and eventually improve outcome.

In a multi-centre, observational, open-label study the investigators aim to define : the model for estimation of renal function that most accurately predicts ciprofloxacin clearance in critically ill patients.

详细描述

Correct estimation of glomerular filtration rate (GFR) is necessary in critically ill patients in order to asses renal function. GFR is subsequently used to derive and appropriate drug dosing of renally excreted drugs and warrant adequate dose adaptations.

It is known that estimation of GFR based on creatinine clearance is not precise, especially in populations with altered muscle mass or instable renal function, such as the Intensive Care Unit (ICU) population.

The use of combined filtration markers together, cystatin C and creatinine, can improve precision in estimating GFR (eGFR). Studies confirmed that eGFR based on both creatinine and cystatin C is more precise than eGFR creatinine or eGFR cystatin C. The equation based on both creatinine and cystatin C, the Chronic Kidney Disease Epidemiology Collaboration creatinine-cystatin C (CKD-EPIcr-cys), may therefore improve eGFR and thus drug dosing in ICU patients, a population that does not reach PK/PD targets frequently.

So far little is known about drug dosing based on CKD-EPIcr-cys. Currently optimal understanding of ciprofloxacin pharmacokinetics in critically ill patients is lacking, resulting in large variation of achieved exposure and possible inadequate therapy. The investigators hypothesize that drug dosing based on CKD-EPIcr-cys provides a useful method to individualize and optimize therapy for ciprofloxacin and eventually improve outcome.

In a multi-centre, observational, open-label study the investigators aim to define the model for estimation of renal function that most accurately predicts ciprofloxacin clearance in critically ill patients.

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 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patient is admitted to an ICU
  • Subject is at least 18 years on the day of the first dosing
  • Is managed with an arterial line or central venous catheter
  • Is managed with an urinary catheter
  • Is already treated with ciprofloxacin as part of routine clinical care

排除标准

  • Has previously participated in this study
  • Is on renal replacement therapy (RRT)

结局指标

主要结局

model for estimation of renal function that most accurately predicts ciprofloxacin clearance

时间窗: Day 1 and day 2

Full pharmacokinetic curves will be taken on Day 1 and Day 2

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (4)

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