跳至主要内容
临床试验/NCT02682355
NCT02682355已完成不适用

Optimizing Clinical Use of Polymyxin B: Teaching an Old Drug to Treat Superbugs

Rutgers, The State University of New Jersey6 个研究点 分布在 3 个国家目标入组 155 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
状态
已完成
入组人数
155
试验地点
6
主要终点
Polymyxin B plasma concentrations

研究概览

简要总结

Polymyxin B is already being used extensively in the USA and other parts of the world; its use is likely to rapidly increase due to the greater burden of infections caused by MDR Gram-negative bacteria and the growing awareness of the limitations inherent in the clinical pharmacology of CMS/colistin. Cross resistance exists between the two polymyxins and thus both must be dosed optimally; but the recently generated scientifically-based dosage regimens for CMS/colistin cannot be extrapolated to polymyxin B. It is essential that an adequately powered study is conducted to define the clinical PK/PD/TD relationships of polymyxin B and identify, using next-generation proteomics, biomarkers for early detection of kidney injury. This will allow the development of scientifically-based dosage regimens for various categories of patients and an adaptive feedback control clinical tool for optimized dosing of polymyxin B in future individual patients.

详细描述

Multidrug-resistant (MDR) Gram-negative 'superbugs' are rapidly spreading around the world, and polymyxin B and colistin (polymyxin E) are often the only effective antibiotics. Since polymyxin B was released in the 1950s, its pharmacokinetics, pharmacodynamics, toxicodynamics (PK/PD/TD) have never been defined. Recent pharmacological research on polymyxins has predominantly focused on colistin methanesulfonate (CMS, an inactive prodrug of colistin) and demonstrates that CMS has significant limitations. Thus, polymyxin B is increasingly being viewed as the preferred polymyxin. Unfortunately, recently developed scientifically-based dosing recommendations for CMS cannot and should not be applied to polymyxin B, as the latter is administered as its active entity. Therefore, it is essential to determine the PK/PD/TD of polymyxin B in critically-ill patients, refine optimal dosage regimens, and develop the user-friendly adaptive feedback control (AFC) clinical tool.

The Specific Aims are:

  1. To develop a population PK model for polymyxin B;
  2. To investigate relationships between the PK of polymyxin B, duration of therapy and patient characteristics, with the development and timing of nephrotoxicity; and to use next-generation proteomics to identify the most predictive biomarker(s) of polymyxin B associated nephrotoxicity; and to develop the population PK/TD model;
  3. To establish the relationships between polymyxin B PK, bacterial susceptibility and patient characteristics, with the probability of attaining and time to achieving clinical and bacteriological outcomes; and
  4. To employ the models from Aims 1-3 and Monte Carlo simulation to develop scientifically-based dosage regimens of polymyxin B and to develop an AFC algorithm for future individual patients.

Research Design: Patients being treated with intravenous polymyxin B will be identified at three clinical sites in the USA and one in Singapore. Patients (n = 250) will have blood collected at various times surrounding a dose of polymyxin B between days 1 and 5 of therapy. Development of nephrotoxicity, clinical response, and bacteriological response will be examined. Total and free plasma concentrations of polymyxin B will be determined. Bacterial isolates will be examined for the emergence of polymyxin resistance. The relationships between polymyxin B PK, PD and TD end-points (e.g. clinical and bacteriological responses, development of toxicity and resistance) will be assessed using pharmacometric analyses. Finally, the obtained information will be used to apply Monte Carlo simulation to examine the impact of various patient characteristics and other factors on polymyxin B PK, PD and TD, in order to establish optimal dosage regimens and AFC algorithms for individual critically-ill patients.

Significance: No new antibiotics will be available for Gram-negative 'superbugs' for many years. This landmark multicenter study will provide essential information for optimizing polymyxin B use in critically-ill patients, while minimizing resistance and toxicity. This proposal aligns perfectly with the NIAID priority "To teach old drugs new tricks" and the recent Executive Order of the White House to combat antibiotic resistance.

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

  • Patient of 18 years of age or older
  • Expectation of hospitalization and receipt of polymyxin B of ≥ 48 hours
  • Receipt of intravenous polymyxin B for treatment of bacteremia and/or urinary tract infection and/or respiratory tract infection (including tracheobronchitis) or sepsis
  • Provision of written informed consent by the patient or by the patient's health care proxy if the patient cannot give consent
  • Adequate venous access to enable collection of blood for determination of concentrations of polymyxin B and co-administered antibiotics

排除标准

  • Age <18 years
  • Currently incarcerated
  • Concomitant use of polymyxin B delivered directly into the respiratory tract
  • Cystic fibrosis
  • Known allergy to CMS/colistin or polymyxin B
  • Anticipated death within 48 h of commencing polymyxin B therapy

结局指标

主要结局

Polymyxin B plasma concentrations

时间窗: 28 days after enrollment

次要结局

  • Changes in serum creatinine(28 days after enrollment)
  • Clinical response based on resolution of signs and symptoms of infection(28 days after enrollment)
  • Microbiologic response based on eradication of pathogens from blood and respiratory cultures(28 days after enrollment)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Keith S. Kaye, MD, MPH

Project Director, Principal Investigator

Rutgers, The State University of New Jersey

研究点 (6)

Loading locations...

相似试验