Research ArticleOriginal Research

Holistic Ultrasound to Predict Extubation Failure in Clinical Practice

Mark E Haaksma, Jasper M Smit, Micah LA Heldeweg, Jip S Nooitgedacht, Leila N Atmowihardjo, Annemijn H Jonkman, Heder J de Vries, Endry HT Lim, Thei Steenvoorden, Erik Lust, Armand RJ Girbes, Leo MA Heunks and Pieter R Tuinman
Respiratory Care June 2021, 66 (6) 994-1003; DOI: https://doi.org/10.4187/respcare.08679

References

  1. 1.↵
    1. Béduneau G,
    2. Pham T,
    3. Schortgen F,
    4. Piquilloud L,
    5. Zogheib E,
    6. Jonas M,
    7. et al
    . Epidemiology of weaning outcome according to a new definition: the WIND study. Am J Respir Crit Care Med 2017;195(6):772-783.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Thille AW,
    2. Richard J-CM,
    3. Brochard L
    . The decision to extubate in the intensive care unit. Am J Respir Crit Care Med 2013;187(12):1294-1302.
    OpenUrlCrossRefPubMed
  3. 3.
    1. Liu Y,
    2. Mu Y,
    3. Li G-Q,
    4. Yu X,
    5. Li P-J,
    6. Shen Z-Q,
    7. et al
    . Extubation outcome after a successful spontaneous breathing trial: a multicenter validation of a 3-factor prediction model. Exp Ther Med 2015;10(4):1591-1601.
    OpenUrl
  4. 4.↵
    1. Longhini F,
    2. Maugeri J,
    3. Andreoni C,
    4. Ronco C,
    5. Bruni A,
    6. Garofalo E,
    7. 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.
    OpenUrlPubMed
  5. 5.↵
    1. Yang KL,
    2. Tobin M
    . A prospective study of indexes predicting the outcome of trials of weaning from mechanical ventilation. N Engl J Med 1991;324(21):1445-1450.
    OpenUrlCrossRefPubMedWeb of Science
  6. 6.
    1. Saugel B,
    2. Rakette P,
    3. Hapfelmeier A,
    4. Schultheiss C,
    5. Phillip V,
    6. Thies P,
    7. et al
    . Prediction of extubation failure in medical intensive care unit patients. J Crit Care 2012;27(6):571-577.
    OpenUrlPubMed
  7. 7.↵
    1. Farghaly S,
    2. Hasan AA
    . Diaphragm ultrasound as a new method to predict extubation outcome in mechanically ventilated patients. Aust Crit Care 2016;30(1):37-43.
    OpenUrl
  8. 8.↵
    1. Mayo P,
    2. Volpicelli G,
    3. Lerolle N,
    4. Schreiber A,
    5. Doelken P,
    6. Vieillard-Baron A
    . Ultrasonography evaluation during the weaning process: the heart, the diaphragm, the pleura and the lung. Intensive Care Med 2016;42(7):1107-1111.
    OpenUrl
  9. 9.↵
    1. Winkler MH,
    2. Touw HR,
    3. van de Ven PM,
    4. Twisk J,
    5. Tuinman PR
    . Diagnostic accuracy of chest radiograph, and when concomitantly studied lung ultrasound, in critically ill patients with respiratory symptoms: a systematic review and meta-analysis. Crit Care Med 2018;46(7):707-714.
    OpenUrl
  10. 10.↵
    1. Silva S,
    2. Ait Aissa D,
    3. Cocquet P,
    4. Hoarau L,
    5. Ruiz J,
    6. Ferre F,
    7. et al
    . Combined thoracic ultrasound assessment during a successful weaning trial predicts postextubation distress. Anesthesiology 2017;127(4):666-674.
    OpenUrl
  11. 11.↵
    1. Haji K,
    2. Haji D,
    3. Canty DJ,
    4. Royse AG,
    5. Green C,
    6. Royse CF
    . The impact of heart, lung and diaphragmatic ultrasound on prediction of failed extubation from mechanical ventilation in critically ill patients: a prospective observational pilot study. Crit Ultrasound J 2018;10(1):13.
    OpenUrl
  12. 12.↵
    1. Ferrari GDF,
    2. Elia F,
    3. Panero F,
    4. Apra F
    . Diaphragm ultrasound as a new index of discontinuation from mechanical ventilation. Thorax 2014;69(5):431-435.
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    1. DiNino E,
    2. Gartman EJ,
    3. Sethi JM,
    4. McCool FD
    . Diaphragm ultrasound as a predictor of successful extubation from mechanical ventilation. Thorax 2014;69(5):423-427.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Haaksma ME,
    2. Smit JM,
    3. Hilderink B,
    4. Atmowihardjo LN,
    5. Lim E,
    6. Jonkman A,
    7. et al
    . Using ultrasound of heart, lungs and diaphragm to predict weaning success: a prospective observational study. (abstract). Intensive Care Medicine Experimental 2018;6. doi: 10.1186/s40635-018-0201-6.
  15. 15.↵
    1. Boles J-M,
    2. Bion J,
    3. Connors A,
    4. Herridge M,
    5. Marsh B,
    6. Melot C,
    7. et al
    . Weaning from mechanical ventilation. Eur Respir J 2007;29(5):1033-1056.
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    1. Touw HRW,
    2. Tuinman PR
    . Lung ultrasound: routine practice for the next generation of internists. Neth J Med 2015;73(3):8.
    OpenUrl
  17. 17.↵
    1. Haaksma ME,
    2. Smit JM,
    3. Heldeweg MLA,
    4. Pisani L,
    5. Elbers P,
    6. Tuinman PR
    . Lung ultrasound and B-lines: B careful! (letter). Intensive Care Med 2020;46(3):544-545.
    OpenUrlPubMed
  18. 18.↵
    1. Touw HR,
    2. Parlevliet KL,
    3. Beerepoot M,
    4. Schober P,
    5. Vonk A,
    6. Twisk JW,
    7. et al
    . Lung ultrasound compared with chest x-ray in diagnosing postoperative pulmonary complications following cardiothoracic surgery: a prospective observational study. Anaesthesia 2018;73(8):946-954.
    OpenUrl
  19. 19.↵
    1. Haaksma ME,
    2. Atmowihardjo L,
    3. Heunks L,
    4. Spoelstra-de Man A,
    5. Tuinman PR
    . Ultrasound imaging of the diaphragm: facts and future: a guide for the bedside clinician. Neth J Crit Care 2018;26(2):6.
    OpenUrl
  20. 20.↵
    1. Tuinman PR,
    2. Jonkman AH,
    3. Dres M,
    4. Shi Z-H,
    5. Goligher EC,
    6. Goffi A,
    7. et al
    . Respiratory muscle ultrasonography: methodology, basic and advanced principles and clinical applications in ICU and ED patients—a narrative review. Intensive Care Med 2020;46(4):594-605.
    OpenUrlPubMed
  21. 21.↵
    1. Goligher EC,
    2. Laghi F,
    3. Detsky ME,
    4. Farias P,
    5. Murray A,
    6. Brace D,
    7. et al
    . Measuring diaphragm thickness with ultrasound in mechanically ventilated patients: feasibility, reproducibility and validity. Intensive Care Med 2015;41(4):642-649.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Seok JI,
    2. Kim SY,
    3. Walker FO,
    4. Kwak SG,
    5. Kwon DH
    . Ultrasonographic findings of the normal diaphragm: thickness and contractility. Ann Clin Neurophysiol 2017;19(2):131.
    OpenUrl
  23. 23.↵
    1. Lichtenstein D
    . Whole Body Ultrasonography in the Critically Ill. Berlin Heidelberg: Springer; 2010:153.
  24. 24.↵
    1. Lichtenstein DA,
    2. Mezière GA
    . Relevance of lung ultrasound in the diagnosis of acute respiratory failure the BLUE protocol. Chest 2008;134(1):117-125.
    OpenUrlCrossRefPubMedWeb of Science
  25. 25.↵
    1. Volpicelli G,
    2. Mussa A,
    3. Garofalo G,
    4. Cardinale L,
    5. Casoli G,
    6. Perotto F,
    7. et al
    . Bedside lung ultrasound in the assessment of alveolar-interstitial syndrome. Am J Emerg Med 2006;24(6):689-696.
    OpenUrlCrossRefPubMedWeb of Science
  26. 26.↵
    1. Neuteboom OB,
    2. Heldeweg ML,
    3. Pisani L,
    4. Smit MR,
    5. Lagrand WK,
    6. Cherpanath TG,
    7. et al
    . Assessing extravascular lung water in critically ill patients using lung ultrasound – a systematic review on methodological aspects in diagnostic accuracy studies. Ultrasound Med Biol 2020;46(7):1557-1564.
    OpenUrl
  27. 27.↵
    1. Weinstein S,
    2. Obuchowski NA,
    3. Lieber ML
    . Clinical evaluation of diagnostic tests. AJR Am J Roentgenol 2005;184(1):14-19.
    OpenUrlPubMedWeb of Science
  28. 28.↵
    1. Buderer NMF
    . Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med 1996;3(9):895-900.
    OpenUrlCrossRefPubMedWeb of Science
  29. 29.↵
    1. Malhotra R,
    2. Indrayan A
    . A simple nomogram for sample size for estimating sensitivity and specificity of medical tests. Indian J Ophthalmol 2010;58(6):519-522.
    OpenUrlCrossRefPubMedWeb of Science
  30. 30.↵
    1. Bouhemad B,
    2. Mojoli F,
    3. Nowobilski N,
    4. Hussain A,
    5. Rouquette I,
    6. Guinot P-G,
    7. et al
    . Use of combined cardiac and lung ultrasound to predict weaning failure in elderly, high-risk cardiac patients: a pilot study. Intensive Care Med 2020;46(3):475-484.
    OpenUrl
  31. 31.↵
    1. Sklar MC,
    2. Burns K,
    3. Rittayamai N,
    4. Lanys A,
    5. Rauseo M,
    6. Chen L,
    7. et al
    . Effort to breathe with various spontaneous breathing trial techniques: a physiologic meta-analysis. Am J Respir Crit Care Med 2017;195(11):1477-1485.
    OpenUrlPubMed
  32. 32.↵
    1. Haaksma ME,
    2. Tuinman PR,
    3. Heunks L
    . Weaning the patient: between protocols and physiology. Curr Opin Crit Care 2021;27(1):29-36.
    OpenUrl
  33. 33.↵
    1. Ferré A,
    2. Guillot M,
    3. Lichtenstein D,
    4. Mezière G,
    5. Richard C,
    6. Teboul J-L,
    7. et al
    . Lung ultrasound allows the diagnosis of weaning-induced pulmonary oedema. Intensive Care Med 2019;45(5):601-608.
    OpenUrl
  34. 34.↵
    1. Tenza-Lozano E,
    2. Llamas-Alvarez A,
    3. Jaimez-Navarro E,
    4. Fernández-Sánchez J
    . Lung and diaphragm ultrasound as predictors of success in weaning from mechanical ventilation. Crit Ultrasound J 2018;10(1):12.
    OpenUrl
  35. 35.↵
    1. Soummer A,
    2. Perbet S,
    3. Brisson H,
    4. Arbelot C,
    5. Constantin J-M,
    6. Lu Q,
    7. et al
    . Ultrasound assessment of lung aeration loss during a successful weaning trial predicts postextubation distress. Crit Care Med 2012;40(7):2064-2072.
    OpenUrlCrossRefPubMedWeb of Science
  36. 36.↵
    1. Volpicelli G,
    2. Elbarbary M,
    3. Blaivas M,
    4. Lichtenstein DA,
    5. Mathis G,
    6. Kirkpatrick AW,
    7. et al
    . International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med 2012;38(4):577-591.
    OpenUrlCrossRefPubMedWeb of Science
  37. 37.
    1. Mongodi S,
    2. Mojoli F,
    3. Stella A,
    4. Godi I,
    5. Via G,
    6. Tavazzi G,
    7. et al
    . Lung ultrasound aeration assessment: comparison of two techniques. (abstract). Crit Care 2015;19(Suppl 1):P222.
    OpenUrl
  38. 38.↵
    1. Mongodi S,
    2. Stella A,
    3. Orlando A,
    4. Mojoli F
    . B-lines visualization and lung aeration assessment: mind the ultrasound machine setting. Anesthesiology 2019;130(3):444.
    OpenUrl
  39. 39.↵
    1. Vivier E,
    2. Muller M,
    3. Putegnat J-B,
    4. Steyer J,
    5. Barrau S,
    6. Boissier F,
    7. et al
    . Inability of diaphragm ultrasound to predict extubation failure. Chest 2019;155(6):1131-1139.
    OpenUrl
  40. 40.↵
    1. Roche-Campo F,
    2. Bedet A,
    3. Vivier E,
    4. Brochard L,
    5. Mekontso Dessap A
    . Cardiac function during weaning failure: the role of diastolic dysfunction. Ann Intensive Care 2018;8(1):2.
    OpenUrl
  41. 41.↵
    1. Papanikolaou J,
    2. Makris D,
    3. Saranteas T,
    4. Karakitsos D,
    5. Zintzaras E,
    6. Karabinis A,
    7. et al
    . New insights into weaning from mechanical ventilation: left ventricular diastolic dysfunction is a key player. Intensive Care Med 2011;37(12):1976-1985.
    OpenUrlCrossRefPubMed
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