Department of Adult Intensive Care, Erasmus Medical Centre, Rotterdam, the Netherlands.
Department of Neonatal and Pediatric Intensive Care, Erasmus Medical Centre - Sophia Children's Hospital, Rotterdam, The Netherlands.
Respir Res. 2024 Apr 25;25(1):179. doi: 10.1186/s12931-024-02801-6.
Prolonged weaning from mechanical ventilation is associated with poor clinical outcome. Therefore, choosing the right moment for weaning and extubation is essential. Electrical Impedance Tomography (EIT) is a promising innovative lung monitoring technique, but its role in supporting weaning decisions is yet uncertain. We aimed to evaluate physiological trends during a T-piece spontaneous breathing trail (SBT) as measured with EIT and the relation between EIT parameters and SBT success or failure.
This is an observational study in which twenty-four adult patients receiving mechanical ventilation performed an SBT. EIT monitoring was performed around the SBT. Multiple EIT parameters including the end-expiratory lung impedance (EELI), delta Tidal Impedance (ΔZ), Global Inhomogeneity index (GI), Rapid Shallow Breathing Index (RSBI), Respiratory Rate (RR) and Minute Ventilation (MV) were computed on a breath-by-breath basis from stable tidal breathing periods.
EELI values dropped after the start of the SBT (p < 0.001) and did not recover to baseline after restarting mechanical ventilation. The ΔZ dropped (p < 0.001) but restored to baseline within seconds after restarting mechanical ventilation. Five patients failed the SBT, the GI (p = 0.01) and transcutaneous CO (p < 0.001) values significantly increased during the SBT in patients who failed the SBT compared to patients with a successful SBT.
EIT has the potential to assess changes in ventilation distribution and quantify the inhomogeneity of the lungs during the SBT. High lung inhomogeneity was found during SBT failure. Insight into physiological trends for the individual patient can be obtained with EIT during weaning from mechanical ventilation, but its role in predicting weaning failure requires further study.
机械通气时间延长与临床预后不良相关。因此,选择合适的脱机和拔管时机至关重要。电阻抗断层成像(EIT)是一种很有前途的创新肺部监测技术,但它在支持脱机决策方面的作用尚不确定。我们旨在评估 EIT 测量的 T 型管自主呼吸试验(SBT)期间的生理趋势,以及 EIT 参数与 SBT 成功或失败的关系。
这是一项观察性研究,共纳入 24 例接受机械通气的成年患者进行 SBT。在 SBT 期间进行 EIT 监测。从稳定的潮气呼吸期逐次呼吸计算多个 EIT 参数,包括呼气末肺阻抗(EELI)、ΔZ、全局不均匀指数(GI)、快速浅呼吸指数(RSBI)、呼吸频率(RR)和分钟通气量(MV)。
EELI 值在 SBT 开始后下降(p<0.001),重新开始机械通气后未恢复到基线。ΔZ 下降(p<0.001),但在重新开始机械通气后几秒钟内恢复到基线。有 5 例患者 SBT 失败,与 SBT 成功的患者相比,SBT 失败的患者 GI(p=0.01)和经皮 CO(p<0.001)值在 SBT 期间显著增加。
EIT 具有评估 SBT 期间通气分布变化和量化肺部不均匀性的潜力。在 SBT 失败时发现肺部不均匀性较高。在机械通气脱机期间,EIT 可以为每个患者获得生理趋势的洞察力,但它在预测脱机失败方面的作用需要进一步研究。