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呼吸机和超声参数在预测拔管成功中的作用。

Role of ventilator and ultrasound parameters in predicting extubation success.

作者信息

Muralidharan R, Havaldar Amarja Ashok

机构信息

Department of Critical Care Medicine, Baby Memorial Hospital, Calicut, Kerala, 673004, India.

Department of Critical Care, St. John's Medical College, Hospital, Bangalore, 560034, India.

出版信息

Sci Rep. 2025 Jul 1;15(1):21355. doi: 10.1038/s41598-025-05540-w.

Abstract

The gold standard method for an accurate and easy way to predict successful weaning has not been established. The study was aimed to determine the predictive values of airway occlusion pressure (P0.1), parasternal intercostal muscle, and diaphragm for successful extubation and their correlation with ICU length of stay and duration of mechanical ventilation. We recruited patients who had been admitted to ICU and mechanically ventilated for at least 48 h. Patients who had successfully passed the spontaneous breathing trial (SBT) and planned for extubation were screened. P 0.1 parameter was obtained from the ventilator. We measured parasternal intercostal muscle thickness (PIMT), parasternal intercostal muscle thickening fraction (PIMTF), diaphragm thickness (DT) and diaphragm thickening fraction (DTF). Primary outcome was to determine the predictive values of P 0.1, PIMTF & DTF for successful extubation. Of the 126 enrolled patients, 101(80.1%) were successfully extubated and 25 (19.8%) had extubation failure. The predictive thresholds for successful extubation for P 0.1 was 1.8 cm of HO (88% sensitivity and 81% specificity with area under receiver operating characteristic curve (AUC) of 0.907, for PIMTF was 12.5% (100% sensitivity and 98% specificity with AUC 0.999), and for DTF was 22.8% (84% sensitivity and 94% specificity with AUC 0.907). P0.1, PIMTF, and DTF are independently linked to extubation outcomes and a combination of these three variables could serve as a valuable tool for accurate prediction of successful extubation.

摘要

尚未建立一种准确且简便的预测成功撤机的金标准方法。本研究旨在确定气道闭塞压(P0.1)、胸骨旁肋间肌和膈肌对成功拔管的预测价值,以及它们与重症监护病房(ICU)住院时间和机械通气持续时间的相关性。我们招募了入住ICU并接受机械通气至少48小时的患者。筛选出成功通过自主呼吸试验(SBT)并计划拔管的患者。P0.1参数从呼吸机获取。我们测量了胸骨旁肋间肌厚度(PIMT)、胸骨旁肋间肌增厚分数(PIMTF)、膈肌厚度(DT)和膈肌增厚分数(DTF)。主要结果是确定P0.1、PIMTF和DTF对成功拔管的预测价值。在126名入选患者中,101例(80.1%)成功拔管,25例(19.8%)拔管失败。成功拔管的P0.1预测阈值为1.8 cm HO(灵敏度88%,特异度81%,受试者工作特征曲线下面积(AUC)为0.907),PIMTF为12.5%(灵敏度100%,特异度98%,AUC为0.999),DTF为22.8%(灵敏度84%,特异度94%,AUC为0.907)。P0.1、PIMTF和DTF与拔管结果独立相关,这三个变量的组合可作为准确预测成功拔管的有价值工具。

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