跳至主要内容
临床试验/CTRI/2025/02/081108
CTRI/2025/02/081108招募中不适用

A prospective observational study to compare electrical impedance tomography parameter with conventional parameters in the prediction of spontaneous breathing trial success

Dr Aditi Yadav1 个研究点 分布在 1 个国家目标入组 75 人开始时间: 2025年3月14日最近更新:

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
75
试验地点
1
主要终点
A novel parameter to predict SBT success

研究概览

简要总结

Weaning from mechanical ventilation is a challenging part of intensive care management. Spontaneous Breathing Trial (SBT), is a common method performed in the assessment of readiness for extubation. Certain conventional objective parameters like Negative Inspiratory force (NIF) and Rapid Shallow Breathing Index (RSBI) are assessed during SBT to predict weaning outcome. These parameters determine different aspects of respiratory muscle dynamics and respiratory drive, and help in assessment of readiness for extubation. Electrical impedance tomography (EIT) is a non-invasive imaging modality that provides a dynamic image of the distribution of air inside the lungs based on changes in electrical impedance. This study is to compare electrical impedance tomography parameter and conventional parameters in the prediction of spontaneous breathing trial success.

研究设计

研究类型
Observational

入排标准

年龄范围
18.00 Year(s) 至 80.00 Year(s)(—)
性别
All

入选标准

  • 1 Age more than 18 years 2 On invasive mechanical ventilation for more than 24 hours who are eligible to undergo SBT 3 GCS more than 12 4 Presence of cough during suctioning and need for infrequent tracheal suctioning 5 PaO2 FiO2 ration more than equal to 200 mm Hg with PEEP less than equal to 5 cm H2O and FiO2 less than equal to 0.4 6 Stable cardiovascular status.

排除标准

  • 1 Presence of chest burn 2 Pregnancy 3 Recent within one week thoracic surgery or chest trauma 4 Patients with pneumothorax or surgical emphysema.

结局指标

主要结局

A novel parameter to predict SBT success

时间窗: 30 minutes

次要结局

  • To predict extubation success(24 hours)

研究者

发起方
Dr Aditi Yadav
申办方类型
Other [self]
责任方
Principal Investigator
主要研究者

Dr Aditi Yadav

Medanta The Medicity

研究点 (1)

Loading locations...

相似试验