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临床试验/NCT04392089
NCT04392089Unknown不适用

Effects of Cardiovascular and Pulmonary Optimisation on Cerebral Oxygenation in COVID-19 Patients With Severe ARDS

Hvidovre University Hospital1 个研究点 分布在 1 个国家目标入组 20 人开始时间: 2020年5月1日最近更新:
适应症

试验速览

阶段
不适用
入组人数
20
试验地点
1
主要终点
Changes in cerebral oxygenation (ScO2) during cardiovascular and pulmonary optimization

研究概览

简要总结

The aim of the present study is to examine whether cerebral oxygenation could be a more useful parameter than peripheral oxygen saturation to guide clinical titration of permissive hypoxemia in COVID-19 ARDS patients

详细描述

Mechanical ventilation is the cornerstone of supportive management for most ARDS patients to prevent life-threatening hypoxemia. Arterial oxygenation can be improved via ventilator by increasing fractional inspired oxygen (FiO2) and/or increasing mean airway pressure. When treating mechanically ventilated ARDS patients, the benefit of improved arterial oxygenation must be balanced against the potential risk of ventilator-induced lung injury (VILI), oxygen toxicity occurring with high FiO2 and development of right heart failure.

Arterial oxygen saturation target of 88-95 % and partial oxygen pressure (PaO2) target of 7.3-10.6 are advocated in the management of patients with ARDS. Surprisingly little randomized evidence exists to support these values and current recommendations are thus arbitrary and largely based on normal physiologic values.

Given the lack of evidence of strategies in oxygenating critically ill patients to an oxygen saturation and partial oxygen pressure that is generally accepted to be 'normal,' permissive hypoxemia may offer an alternative that has the potential to improve patient outcomes by avoiding unnecessary harm. Permissive hypoxemia is a concept in which a lower level of arterial oxygenation than usual is accepted in order to avoid the potentially detrimental effects of high fractional inspired oxygen and invasive mechanical ventilation with high pressures, while maintaining adequate oxygen delivery by optimizing cardiac output.

Pulse oximetry is a simple, non-invasive and universally used method to monitor peripheral oxygen saturation of hemoglobin in a variety of clinical settings. Pulse oximetry depends on pulsatile blood flow and only measures the oxyhemoglobin in arterial blood as it leaves the heart. However, this measure does not provide information regarding organ or tissue oxygenation, which reflects the important local balance between oxygen supply and demand.

Near-infrared spectroscopy (NIRS) allows for continuous measurement of regional tissue oxygenation which reflects perfusion status and enables clinicians to directly monitor fluctuations in real time. NIRS reflects the balance of oxygen that is delivered minus what is extracted at tissue level and is an indicator of the tissue oxygen uptake.

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

  • Age ≥ 18 years
  • Verified COVID-19 infection (throat swab or tracheal aspirate positive for SARS-CoV-2)
  • Severe ARDS according to Berlin definition
  • Ventilator settings: Controlled IPPV, FiO2 > 0.70, PEEP > 10
  • Norepinephrine infusion
  • SVV < 10% measured by LiDCO

排除标准

  • Any of the following contraindications to lung recruitment: pneumothorax, patients on ventilator > 1 week
  • Patients with dark pigmented skin

结局指标

主要结局

Changes in cerebral oxygenation (ScO2) during cardiovascular and pulmonary optimization

时间窗: 1 hour

Cardiovascular and pulmonary optimization: Step 0 = Baseline, Step 1 = Derecruitment, Step 2 = Recruitment, Step 3 = Norepinephrine challenge, Step 4 = FiO2 increase, Step 5 = FiO2 decrease, Step 6 = Baseline 2

次要结局

  • Association between cerebral oxygenation (ScO2) and stroke volume (SV) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and cardiac output (CO) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in diastolic arterial pressure (DAP) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in PaO2 during cardiovascular and pulmonary optimization(1 hour)
  • Changes in systolic arterial pressure (SAP) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in stroke volume (SV) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in cardiac output (CO) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in muscular oxygenation (SmO2) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and peripheral oxygen saturation (SatO2) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in peripheral oxygen saturation (SatO2) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in mean arterial pressure (MAP) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in systemic vascular resistance (SVR) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in PaCO2 during cardiovascular and pulmonary optimization(1 hour)
  • Changes in PvCO2 during cardiovascular and pulmonary optimization(1 hour)
  • Changes in mixed venous saturation (SvO2) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in heart rate (HR) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in arterial saturation (SaO2) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in PvO2 during cardiovascular and pulmonary optimization(1 hour)
  • Changes in peripheral perfussion index (PPI) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in pH during cardiovascular and pulmonary optimization(1 hour)
  • Changes in lacatate during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and heart rate (HR) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and systemic vascular resistance (SVR) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and pH during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and PaCO2 during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and PvCO2 during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and mixed venous saturation (SvO2) during cardiovascular and pulmonary optimization(1 hour)
  • Changes in hemoglobine concentration (Hb) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and systemic arterial pressure (SAP) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and peripheral perfussion index (PPI) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and arterial saturation (SaO2) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and PvO2 during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and diastolic arterial pressure (DAP) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and mean arterial pressure (MAP) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and lactate during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and muscular oxygenation (SmO2) during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and PaO2 during cardiovascular and pulmonary optimization(1 hour)
  • Association between cerebral oxygenation (ScO2) and hemoglobine concentration (Hb) during cardiovascular and pulmonary optimization(1 hour)

研究者

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

Ana-Marija Hristovska

MD, Ph.d-student

Hvidovre University Hospital

研究点 (1)

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