Literature DB >> 32394211

Thenar oxygen saturation (StO2) alterations during a spontaneous breathing trial predict extubation failure.

Jaume Mesquida1,2, Guillem Gruartmoner3,4, Cristina Espinal3, Jordi Masip3, Caroline Sabatier3,5, Ana Villagrá3,6, Hernando Gómez7,8, Michael Pinsky7, Francisco Baigorri3, Antonio Artigas3,4,9.   

Abstract

BACKGROUND: Weaning from mechanical ventilation (MV) is a cardiovascular stress test. Monitoring the regional oxygenation status has shown promising results in predicting the tolerance to spontaneously breathe in the process of weaning from MV. Our aim was to determine whether changes in skeletal muscle oxygen saturation (StO2) measured by near-infrared spectroscopy (NIRS) on the thenar eminence during a vascular occlusion test (VOT) can be used to predict extubation failure from mechanical ventilation.
METHODS: We prospectively studied 206 adult patients with acute respiratory failure receiving MV for at least 48 h from a 30-bed mixed ICU, who were deemed ready to wean by their physicians. Patients underwent a 30-min spontaneous breathing trial (SBT), and were extubated according to the local protocol. Continuous StO2 was measured non-invasively on the thenar eminence. A VOT was performed prior to and at 30 min of the SBT (SBT30). The rate of StO2 deoxygenation (DeO2), StO2 reoxygenation (ReO2) rate and StO2 hyperemic response to ischemia (HAUC) were calculated.
RESULTS: Thirty-six of the 206 patients (17%) failed their SBT. The remainder 170 patients (83%) were extubated. Twenty-three of these patients (13.5%) needed reinstitution of MV within 24 h. Reintubated patients displayed a lower HAUC at baseline, and higher relative changes in their StO2 deoxygenation rate between baseline and SBT30 (DeO2 Ratio). A logistic regression-derived StO2 score, combining baseline StO2, HAUC and DeO2 ratio, showed an AUC of 0.84 (95% CI 0.74-0.91) for prediction of extubation failure.
CONCLUSIONS: Extubation failure was associated to baseline and dynamic StO2 alterations during the SBT. Monitoring StO2-derived parameters might be useful in predicting extubation outcome.

Entities:  

Keywords:  Mechanical ventilation; Microcirculation; Near-infrared spectroscopy; Regional blood flow; Tissue oxygenation; Weaning

Year:  2020        PMID: 32394211     DOI: 10.1186/s13613-020-00670-y

Source DB:  PubMed          Journal:  Ann Intensive Care        ISSN: 2110-5820            Impact factor:   6.925


  2 in total

1.  Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model.

Authors:  Huan Wang; Qin-Yu Zhao; Jing-Chao Luo; Kai Liu; Shen-Ji Yu; Jie-Fei Ma; Ming-Hao Luo; Guang-Wei Hao; Ying Su; Yi-Jie Zhang; Guo-Wei Tu; Zhe Luo
Journal:  BMC Pulm Med       Date:  2022-08-08       Impact factor: 3.320

2.  Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.

Authors:  Qin-Yu Zhao; Huan Wang; Jing-Chao Luo; Ming-Hao Luo; Le-Ping Liu; Shen-Ji Yu; Kai Liu; Yi-Jie Zhang; Peng Sun; Guo-Wei Tu; Zhe Luo
Journal:  Front Med (Lausanne)       Date:  2021-05-17
  2 in total

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