Epstein SK, Ciubotaru RL. Independent effects of etiology of failure and time to reintubation on outcome for patients failing extubation. Am J Respir Crit Care Med. 1998;158(2):489–93. https://doi.org/10.1164/ajrccm.158.2.9711045.

Article  CAS  PubMed  Google Scholar 

Dres M, Younes M, Rittayamai N, et al. Sleep and pathological wakefulness at the time of liberation from mechanical ventilation (SLEEWE). A prospective multicenter physiological study. Am J Respir Crit Care Med. 2019;199(9):1106–15. https://doi.org/10.1164/rccm.201811-2119OC.

Article  CAS  PubMed  Google Scholar 

Pham T, Heunks L, Bellani G, et al. Weaning from mechanical ventilation in intensive care units across 50 countries (WEAN SAFE): a multicentre, prospective, observational cohort study. Lancet Respir Med. 2023;11(5):465–76. https://doi.org/10.1016/s2213-2600(22)00449-0.

Article  PubMed  Google Scholar 

Béduneau G, Pham T, Schortgen F, et al. Epidemiology of weaning outcome according to a new definition. The WIND study. Am J Respir Crit Care Med. 2017;195(6):772–83. https://doi.org/10.1164/rccm.201602-0320OC.

Article  PubMed  Google Scholar 

Peñuelas O, Frutos-Vivar F, Fernández C, et al. Characteristics and outcomes of ventilated patients according to time to liberation from mechanical ventilation. Am J Respir Crit Care Med. 2011;184(4):430–7. https://doi.org/10.1164/rccm.201011-1887OC.

Article  PubMed  Google Scholar 

Yang KL, Tobin MJ. A prospective study of indexes predicting the outcome of trials of weaning from mechanical ventilation. N Engl J Med. 1991;324(21):1445–50. https://doi.org/10.1056/nejm199105233242101.

Article  CAS  PubMed  Google Scholar 

Telias I, Junhasavasdikul D, Rittayamai N, et al. Airway occlusion pressure as an estimate of respiratory drive and inspiratory effort during assisted ventilation. Am J Respir Crit Care Med. 2020;201(9):1086–98. https://doi.org/10.1164/rccm.201907-1425OC.

Article  PubMed  Google Scholar 

Bertoni M, Telias I, Urner M, et al. A novel non-invasive method to detect excessively high respiratory effort and dynamic transpulmonary driving pressure during mechanical ventilation. Crit Care. 2019;23(1):346. https://doi.org/10.1186/s13054-019-2617-0.

Article  PubMed  PubMed Central  Google Scholar 

Franchineau G, Jonkman AH, Piquilloud L, et al. Electrical impedance tomography to monitor hypoxemic respiratory failure. Am J Respir Crit Care Med. 2023. https://doi.org/10.1164/rccm.202306-1118CI.

Article  Google Scholar 

Zhao Z, Peng SY, Chang MY, et al. Spontaneous breathing trials after prolonged mechanical ventilation monitored by electrical impedance tomography: an observational study. Acta Anaesthesiol Scand. 2017;61(9):1166–75. https://doi.org/10.1111/aas.12959.

Article  CAS  PubMed  Google Scholar 

Bickenbach J, Czaplik M, Polier M, Marx G, Marx N, Dreher M. Electrical impedance tomography for predicting failure of spontaneous breathing trials in patients with prolonged weaning. Crit Care. 2017;21(1):177. https://doi.org/10.1186/s13054-017-1758-2.

Article  PubMed  PubMed Central  Google Scholar 

Longhini F, Maugeri J, Andreoni C, et al. Electrical impedance tomography during spontaneous breathing trials and after extubation in critically ill patients at high risk for extubation failure: a multicenter observational study. Ann Intensive Care. 2019;9(1):88. https://doi.org/10.1186/s13613-019-0565-0.

Article  PubMed  PubMed Central  Google Scholar 

Moon DS, Huh JW, Hong SB, Koh Y, Lim CM. Dynamic inhomogeneity of aeration along the vertical axis of the lung may predict weaning failure regardless of diaphragm dysfunction. J Crit Care. 2021;65:186–91. https://doi.org/10.1016/j.jcrc.2021.06.010.

Article  PubMed  Google Scholar 

Wang G, Zhang L, Li B, et al. The application of electrical impedance tomography during the ventilator weaning process. Int J Gen Med. 2021;14:6875–83. https://doi.org/10.2147/ijgm.S331772.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Coppadoro A, Grassi A, Giovannoni C, et al. Occurrence of pendelluft under pressure support ventilation in patients who failed a spontaneous breathing trial: an observational study. Ann Intensive Care. 2020;10(1):39. https://doi.org/10.1186/s13613-020-00654-y.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Joussellin V, Bonny V, Spadaro S, et al. Lung aeration estimated by chest electrical impedance tomography and lung ultrasound during extubation. Ann Intensive Care. 2023;13(1):91. https://doi.org/10.1186/s13613-023-01180-3.

Article  PubMed  PubMed Central  Google Scholar 

Yoshida T, Piraino T, Lima CAS, Kavanagh BP, Amato MBP, Brochard L. Regional ventilation displayed by electrical impedance tomography as an incentive to decrease positive end-expiratory pressure. Am J Respir Crit Care Med. 2019;200(7):933–7. https://doi.org/10.1164/rccm.201904-0797LE.

Article  CAS  PubMed  Google Scholar 

Phoophiboon V, Rodrigues A, Vieira F, et al. Ventilation Distribution During Spontaneous Breathing Trial to Predict Liberation From Mechanical Ventilation: Preliminary Result of the VISION Study (abstract). presented at: Am J Respir Crit Care Med 2024;209:A4808; https://doi.org/10.1164/ajrccm-conference.2024.209.1_MeetingAbstracts.A4808

Goligher EC, Detsky ME, Sklar MC, et al. Rethinking inspiratory pressure augmentation in spontaneous breathing trials. Chest. 2017;151(6):1399–400. https://doi.org/10.1016/j.chest.2017.02.033.

Article  PubMed  Google Scholar 

Sklar MC, Burns K, Rittayamai N, et al. Effort to breathe with various spontaneous breathing trial techniques.A physiologic meta-analysis. Am J Respir Crit Care Med. 2017;195(11):1477–85. https://doi.org/10.1164/rccm.201607-1338OC.

Article  PubMed  Google Scholar 

Thille AW, Gacouin A, Coudroy R, et al. Spontaneous-breathing trials with pressure-support ventilation or a T-piece. N Engl J Med. 2022;387(20):1843–54. https://doi.org/10.1056/NEJMoa2209041.

Article  PubMed  Google Scholar 

Roberts KJ, Goodfellow LT, Battey-Muse CM, et al. AARC clinical practice guideline: spontaneous breathing trials for liberation from adult mechanical ventilation. Respir Care. 2024. https://doi.org/10.4187/respcare.11735.

Article  PubMed  Google Scholar 

Thille AW, Richard JC, Brochard L. The decision to extubate in the intensive care unit. Am J Respir Crit Care Med. 2013;187(12):1294–302. https://doi.org/10.1164/rccm.201208-1523CI.

Article  PubMed  Google Scholar 

Ruan SY, Teng NC, Wu HD, et al. Durability of weaning success for liberation from invasive mechanical ventilation: an analysis of a nationwide database. Am J Respir Crit Care Med. 2017;196(6):792–5. https://doi.org/10.1164/rccm.201610-2153LE.

Article  PubMed  Google Scholar 

Detry MA, Ma Y. Analyzing repeated measurements using mixed models. JAMA. 2016;315(4):407–8. https://doi.org/10.1001/jama.2015.19394.

Article  CAS  PubMed  Google Scholar 

Gelman A, Hill J. Data analysis using regression and multilevel/hierarchical models. Analytical Methods for Social Research: Cambridge University Press; 2006.

Book  Google Scholar 

Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat. 1979;6(2):65–70.

Google Scholar 

Krzanowski WJ, Hand DJ. ROC Curves for continuous data. Chapman and Hall/CRC; 2009. https://doi.org/10.1201/9781439800225.

Book  Google Scholar 

Yang L, Dai M, Cao X, et al. Regional ventilation distribution in healthy lungs: can reference values be established for electrical impedance tomography parameters? Ann Transl Med. 2021;9(9):789.

Article  PubMed  PubMed Central  Google Scholar 

El-Dash SA, Borges JB, Costa EL, et al. There is no cephalocaudal gradient of computed tomography densities or lung behavior in supine patients with acute respiratory distress syndrome. Acta Anaesthesiol Scand. 2016;60(6):767–79. https://doi.org/10.1111/aas.12690.

Article  CAS  PubMed  Google Scholar 

Iwata H, Yoshida T, Hoshino T, et al. Electrical impedance tomography-based ventilation patterns in patients after major surgery. Am J Respir Crit Care Med. 2024. https://doi.org/10.1164/rccm.202309-1658OC.

Article  PubMed  PubMed Central