Identifying Subjects at Risk for Diaphragm Atrophy During Mechanical Ventilation Using Routinely Available Clinical Data

REFERENCES

1. 1.↵
   1. Yoshida T,
   2. Torsani V,
   3. Gomes S,
   4. De Santis RR,
   5. Beraldo MA,
   6. Costa EL,
   7. et al

   . Spontaneous effort causes occult pendelluft during mechanical ventilation. Am J Respir Crit Care Med 2013;188(12):1420-1427.

   OpenUrlCrossRefPubMed
2. 2.↵
   1. Dres M,
   2. Goligher EC,
   3. Heunks LMA,
   4. Brochard LJ

   . Critical illness-associated diaphragm weakness. Intensive Care Med 2017;43(10):1441-1452.

   OpenUrl
3. 3.
   1. Reid WD,
   2. Huang J,
   3. Bryson S,
   4. Walker DC,
   5. Belcastro AN

   . Diaphragm injury and myofibrillar structure induced by resistive loading. J Appl Physiol (1985) 1994;76(1):176-184.

   OpenUrlPubMedWeb of Science
4. 4.
   1. Laghi F,
   2. D'Alfonso N,
   3. Tobin MJ

   . Pattern of recovery from diaphragmatic fatigue over 24 hours. J Appl Physiol (1985) 1995;79(2):539-546.

   OpenUrlPubMedWeb of Science
5. 5.↵
   1. Orozco-Levi M,
   2. Lloreta J,
   3. Minguella J,
   4. Serrano S,
   5. Broquetas JM,
   6. Gea J

   . Injury of the human diaphragm associated with exertion and chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2001;164(9):1734-1739.

   OpenUrlCrossRefPubMedWeb of Science
6. 6.↵
   1. Berger D,
   2. Bloechlinger S,
   3. von Haehling S,
   4. Doehner W,
   5. Takala J,
   6. Z'Graggen WJ,
   7. et al

   . Dysfunction of respiratory muscles in critically ill patients on the intensive care unit. J Cachexia Sarcopenia Muscle 2016;7(4):403-412.

   OpenUrl
7. 7.↵
   1. Dres M,
   2. Demoule A

   . Diaphragm dysfunction during weaning from mechanical ventilation: an underestimated phenomenon with clinical implications. Crit Care 2018;22(1):73.

   OpenUrl
8. 8.↵
   1. Goligher EC,
   2. Fan E,
   3. Herridge MS,
   4. Murray A,
   5. Vorona S,
   6. Brace D,
   7. et al

   . Evolution of diaphragm thickness during mechanical ventilation. impact of inspiratory effort. Am J Respir Crit Care Med 2015;192(9):1080-1088.

   OpenUrlCrossRefPubMed
9. 9.
   1. Levine S,
   2. Nguyen T,
   3. Taylor N,
   4. Friscia ME,
   5. Budak MT,
   6. Rothenberg P,
   7. et al

   . Rapid disuse atrophy of diaphragm fibers in mechanically ventilated humans. N Engl J Med 2008;358(13):1327-1335.

   OpenUrlCrossRefPubMedWeb of Science
10. 10.↵
    1. Kim WY,
    2. Suh HJ,
    3. Hong SB,
    4. Koh Y,
    5. Lim CM

    . Diaphragm dysfunction assessed by ultrasonography: influence on weaning from mechanical ventilation. Crit Care Med 2011;39(12):2627-2630.

    OpenUrlCrossRefPubMedWeb of Science
11. 11.↵
    1. Goligher EC,
    2. Dres M,
    3. Fan E,
    4. Rubenfeld GD,
    5. Scales DC,
    6. Herridge MS,
    7. et al

    . Mechanical ventilation-induced diaphragm atrophy strongly impacts clinical outcomes. Am J Respir Crit Care Med 2018;197(2):204-213.

    OpenUrlPubMed
12. 12.↵
    1. Bellani G,
    2. Laffey JG,
    3. Pham T,
    4. Fan E,
    5. Brochard L,
    6. Esteban A,
    7. et al

    . Epidemiology, patterns of care, and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries. JAMA 2016;315(8):788-800.

    OpenUrlCrossRefPubMed
13. 13.↵
    1. Amato MB,
    2. Meade MO,
    3. Slutsky AS,
    4. Brochard L,
    5. Costa EL,
    6. Schoenfeld DA,
    7. et al

    . Driving pressure and survival in the acute respiratory distress syndrome. N Engl J Med 2015;372(8):747-755.

    OpenUrlCrossRefPubMed
14. 14.↵
    1. Akoumianaki E,
    2. Maggiore SM,
    3. Valenza F,
    4. Bellani G,
    5. Jubran A,
    6. Loring SH,
    7. et al

    . The application of esophageal pressure measurement in patients with respiratory failure. Am J Respir Crit Care Med 2014;189(5):520-531.

    OpenUrlCrossRefPubMed
15. 15.↵
    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):734.

    OpenUrlPubMed
16. 16.↵
    1. Vincent JL,
    2. de Mendonca A,
    3. Cantraine F,
    4. Moreno R,
    5. Takala J,
    6. Suter PM,
    7. et al

    . Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on “sepsis-related problems” of the European Society of Intensive Care Medicine. Crit Care Med 1998;26(11):1793-1800.

    OpenUrlCrossRefPubMedWeb of Science
17. 17.↵
    1. Sessler CN,
    2. Gosnell MS,
    3. Grap MJ,
    4. Brophy GM,
    5. O'Neal PV,
    6. Keane KA,
    7. et al

    . The Richmond Agitation-Sedation Scale: validity and reliability in adult intensive care unit patients. Am J Respir Crit Care Med 2002;166(10):1338-1344.

    OpenUrlCrossRefPubMedWeb of Science
18. 18.↵
    1. Bastos PG,
    2. Sun X,
    3. Wagner DP,
    4. Wu AW,
    5. Knaus WA

    . Glasgow Coma Scale score in the evaluation of outcome in the intensive care unit: findings from the Acute Physiology and Chronic Health Evaluation III study. Crit Care Med 1993;21(10):1459-1465.

    OpenUrlCrossRefPubMedWeb of Science
19. 19.↵
    1. Brower RG,
    2. Matthay MA,
    3. Morris A,
    4. Schoenfeld D,
    5. Thompson BT,
    6. et al

    . Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. N Engl J Med 2000;342(18):1301-1308.

    OpenUrlCrossRefPubMedWeb of Science
20. 20.↵
    1. Kursa MB,
    2. Rudnicki WR

    . Feature selection with the Boruta package. J Stat Softw 2010;36(11):13.

    OpenUrl
21. 21.↵
    1. Bates D,
    2. Maechler M,
    3. Bolker B,
    4. Walker S,
    5. Christensen RHB,
    6. Singmann H,
    7. et al

    . lme4: linear mixed-effects models using Eigen and S4. Available at: https://cran.r-project.org/web/packages/lme4/lme4.pdf. Accessed October 26, 2020.
22. 22.↵
    1. Knowles JE,
    2. Frederick C

    . merTools: tools for analyzing mixed effect regression models. Available at: https://CRAN.R-project.org/package=merTools. Accessed October 26, 2020.
23. 23.↵
    1. Sela RJ,
    2. Simonoff JS

    . RE-EM trees: a data mining approach for longitudinal and clustered data. Machine Learning 2011;86(2):169-207.

    OpenUrl
24. 24.↵
    1. Kuhn M

    . Building predictive models in R using the caret package. J Stat Softw 2008;28(5):1-26.

    OpenUrlCrossRefPubMed
25. 25.↵
    1. Robin X,
    2. Turck N,
    3. Hainard A,
    4. Tiberti N,
    5. Lisacek F,
    6. Sanchez JC,
    7. et al

    . pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 2011;12:77.

    OpenUrlCrossRefPubMed
26. 26.↵
    1. Eugster MJ,
    2. Hothorn T,
    3. Leisch F

    . Exploratory and inferential analysis of benchmark experiments. 2008. Department of Statistics: Technical Reports, No. 30. Available at: https://epub.ub.uni-muenchen.de/4134. Accessed October 26, 2020.
27. 27.↵
    1. Marini JJ,
    2. Rodriguez RM,
    3. Lamb V

    . The inspiratory workload of patient-initiated mechanical ventilation. Am Rev Respir Dis 1986;134(5):902-909.

    OpenUrlPubMedWeb of Science
28. 28.↵
    1. Telias I,
    2. Junhasavasdikul D,
    3. Rittayamai N,
    4. Piquilloud L,
    5. Chen L,
    6. Ferguson ND,
    7. 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):1086-1098.

    OpenUrl
29. 29.↵
    1. Vassilakopoulos T,
    2. Zakynthinos S,
    3. Roussos C

    . The tension-time index and the frequency/tidal volume ratio are the major pathophysiologic determinants of weaning failure and success. Am J Respir Crit Care Med 1998;158(2):378-385.

    OpenUrlCrossRefPubMedWeb of Science
30. 30.↵
    1. Akoumianaki E,
    2. Lyazidi A,
    3. Rey N,
    4. Matamis D,
    5. Perez-Martinez N,
    6. Giraud R,
    7. et al

    . Mechanical ventilation-induced reverse-triggered breaths: a frequently unrecognized form of neuromechanical coupling. Chest 2013;143(4):927-938.

    OpenUrlCrossRefPubMed
31. 31.↵
    1. Bellani G,
    2. Mauri T,
    3. Coppadoro A,
    4. Grasselli G,
    5. Patroniti N,
    6. Spadaro S,
    7. et al

    . Estimation of patient's inspiratory effort from the electrical activity of the diaphragm. Crit Care Med 2013;41(6):1483-1491.

    OpenUrlPubMed
32. 32.↵
    1. Marini JJ,
    2. Smith TC,
    3. Lamb V

    . Estimation of inspiratory muscle strength in mechanically ventilated patients: the measurement of maximal inspiratory pressure. J Crit Care 1986;1(1):32-38.

    OpenUrlCrossRef
33. 33.↵
    1. Laveneziana P,
    2. Albuquerque A,
    3. Aliverti A,
    4. Babb T,
    5. Barreiro E,
    6. Dres M,
    7. et al

    . ERS statement on respiratory muscle testing at rest and during exercise. European Respiratory Journal 2019;53(6).
34. 34.↵
    1. Vivier E,
    2. Mekontso Dessap A,
    3. Dimassi S,
    4. Vargas F,
    5. Lyazidi A,
    6. Thille AW,
    7. et al

    . Diaphragm ultrasonography to estimate the work of breathing during non-invasive ventilation. Intensive Care Med 2012;38(5):796-803.

    OpenUrlCrossRefPubMed
35. 35.↵
    1. Gottesman E,
    2. McCool FD

    . Ultrasound evaluation of the paralyzed diaphragm. Am J Respir Crit Care Med 1997;155(5):1570-1574.

    OpenUrlCrossRefPubMedWeb of Science
36. 36.↵
    1. Bertoni M,
    2. Telias I,
    3. Urner M,
    4. Long M,
    5. Del Sorbo L,
    6. Fan E,
    7. 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.

    OpenUrl
37. 37.↵
    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
38. 38.↵
    1. van Haren F,
    2. Pham T,
    3. Brochard L,
    4. Bellani G,
    5. Laffey J,
    6. Dres M,
    7. et al

    . Spontaneous Breathing in Early Acute Respiratory Distress Syndrome: Insights From the Large Observational Study to UNderstand the Global Impact of Severe Acute Respiratory FailurE Study. Crit Care Med 2019;47(2):229-238.

    OpenUrl
39. 39.↵
    1. Zambon M,
    2. Beccaria P,
    3. Matsuno J,
    4. Gemma M,
    5. Frati E,
    6. Colombo S,
    7. et al

    . Mechanical ventilation and diaphragmatic atrophy in critically ill patients: an ultrasound study. Crit Care Med 2016;44(7):1347-1352.

    OpenUrlCrossRefPubMed
40. 40.↵
    1. Dubé BP,
    2. Dres M,
    3. Mayaux J,
    4. Demiri S,
    5. Similowski T,
    6. Demoule A

    . Ultrasound evaluation of diaphragm function in mechanically ventilated patients: comparison to phrenic stimulation and prognostic implications. Thorax 2017;72(9):811-818.

    OpenUrlAbstract/FREE Full Text