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临床试验/NCT01870089
NCT01870089终止不适用

Clinical Evaluation of an Automated Knowledge-based Computer Driven System (SmartCare/PS-NIV) Designed to Automatically Adapt Pressure Support Level and Expiratory Cycling During Non Invasive Ventilation, a Feasability Study.

University of Lausanne Hospitals2 个研究点 分布在 1 个国家目标入组 11 人开始时间: 2013年5月1日最近更新:
适应症

试验速览

阶段
不适用
状态
终止
发起方
入组人数
11
试验地点
2
主要终点
Feasibilty of using the Smartcare-NIV system to deliver non-invasive ventilation in case of acute respiratory failure.

研究概览

简要总结

Knowledge-based systems were initially developped to automatically adapt pressure support settings during invasive ventilation, and proved to be at least as efficient as experienced clinicians.

Non-invasive ventilation has become the standard of care for patients suffering from acute hypercapnic respiratory failure (ARF)and has reduced the need for endotracheal intubation in these patients, thus reducing their hospital mortality.

NIV success or failure is closely related to the tolerance of NIV treatment, which is tightly correlated to patient-ventilator synchrony. As severe asynchronies frequently occurs during NIV (namely in more than 40% of patients) and as the occurence of asynchronies is related to the use of high pressure support levels, to the presence of leaks and/or to non optimal expiratory trigger settings, very frequent ventilator settings adaptations should allow reducing patient-ventilator asynchronies but require the presence of an experienced clinician at the bedside during NIV treatment.

A computer-driven ventilator settings adaptation has the adavantage of permitting very frequent ventilator settings adaptation whithout requiring the presence of an experienced clinician at the bedside and could possibly improve patient-ventilator interaction.

The aim of the present study is to test the faisability of using the Smartcare NIV computer-driven system to automatically adapt ventilator settings during non invasive ventilation delivered because of acute respiratory failure.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Treatment
盲法
None

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

  • Acute respiratory failure requiring non invasive ventilation
  • ICU patient equipped with an arterial line.

排除标准

  • Contra-indications to NIV:
  • impaired consciousness
  • absence of patient cooperation
  • severe hemodynamic instability
  • facial lesions
  • indication for immediate intubation
  • Acute neurological problem
  • Poor short term prognosis

结局指标

主要结局

Feasibilty of using the Smartcare-NIV system to deliver non-invasive ventilation in case of acute respiratory failure.

时间窗: 45 minute NIV-treatment

The main aim of the study is to explore the feasibility of using the Smartcare-NIV system to deliver non-invasive ventilation (NIV) in case of acute respiratory failure. Practically, we will describe how the NIV tratment will go on when using the Smartcare system and report how the system automatically adapt the ventilator settings.

次要结局

  • Leaks(45 minutes)
  • O2 saturation(45 minutes)
  • Blood gas analysis(45 minutes)
  • Tidal volumes(45 minutes)
  • Alarms generated by the ventilator(45 minutes)
  • Blood pressure(45 minutes)
  • Respiratory rate(45 minutes)
  • Manual ventilator settings modifications required(45 minutes)
  • Heart rate(45 minutes)
  • Minute ventilation(45 minutes)
  • Patient-ventilator asynchronies(45 minutes)
  • Patient comfort(45 minutes)
  • Percentage of time spent in a predifined comfort zone.(45 minutes)

研究者

发起方
University of Lausanne Hospitals
申办方类型
Other
责任方
Principal Investigator
主要研究者

Prof. Philippe Jolliet

Principal investigator

University of Lausanne Hospitals

研究点 (2)

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