Using Routinely Gathered Clinical Data to Develop a Prognostic Online Tool for Decannulation in Subjects With Acquired Brain Injury

References

1. 1.↵
   1. Moons KGM,
   2. de Groot JAH,
   3. Bouwmeester W,
   4. Vergouwe Y,
   5. Mallett S,
   6. Altman DG,
   7. et al

   . Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med 2014;11(10):e1001744.

   OpenUrlCrossRefPubMed
2. 2.↵
   1. Moons KGM,
   2. Altman DG,
   3. Vergouwe Y,
   4. Royston P

   . Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ 2009;338:b606.

   OpenUrlFREE Full Text
3. 3.↵
   1. Royston P,
   2. Moons KGM,
   3. Altman DG,
   4. Vergouwe Y

   . Prognosis and prognostic research: developing a prognostic model. BMJ 2009;338:b604.

   OpenUrlFREE Full Text
4. 4.↵
   1. Enrichi C,
   2. Battel I,
   3. Zanetti C,
   4. Koch I,
   5. Ventura L,
   6. Palmer K,
   7. et al

   . Clinical criteria for tracheostomy decannulation in subjects with acquired brain injury. Respir Care 2017;62(10):1255-1263.

   OpenUrlAbstract/FREE Full Text
5. 5.↵
   1. Park M,
   2. Lee S

   . Changes in swallowing and cough functions among stroke patients before and after tracheostomy decannulation. Dysphagia 2018;33(6):857-865.

   OpenUrl
6. 6.↵
   1. Seo HG,
   2. Kim JG,
   3. Nam HS,
   4. Lee WH,
   5. Han TR,
   6. Oh BM

   . Swallowing function and kinematics in stroke patients with tracheostomies. Dysphagia 2017;32(3):393-400.

   OpenUrl
7. 7.↵
   1. Perin C,
   2. Meroni R,
   3. Rega V,
   4. Braghetto G,
   5. Cerri CG

   . Parameters influencing tracheostomy decannulation in patients undergoing rehabilitation after severe acquired brain injury (sABI). Int Arch Otorhinolaryngol 2017;21(4):382-389.

   OpenUrl
8. 8.↵
   1. Zivi I,
   2. Valsecchi R,
   3. Maestri R,
   4. Maffia S,
   5. Zarucchi A,
   6. Molatore K,
   7. et al

   . Early rehabilitation reduces time to decannulation in patients with severe acquired brain injury: a retrospective study. Front Neurol 2018;9:559.

   OpenUrl
9. 9.↵
   1. Heidler MD,
   2. Salzwedel A,
   3. Jöbges M,
   4. Lück O,
   5. Dohle C,
   6. Seifert M,
   7. et al

   . Decannulation of tracheotomized patients after long-term mechanical ventilation - results of a prospective multicentric study in German neurological early rehabilitation hospitals. BMC Anesthesiol 2018;18(1):65.

   OpenUrl
10. 10.↵
    1. Reverberi C,
    2. Lombardi F,
    3. Lusuardi M,
    4. Pratesi A,
    5. Di Bari M

    . Development of the decannulation prediction tool in patients with dysphagia after acquired brain injury. J Am Med Dir Assoc 2019;20(4):470-475.

    OpenUrl
11. 11.↵
    1. Kjeldsen SS,
    2. Søndergaard S,
    3. Mikkelsen LR,
    4. Nielsen JF

    . A retrospective study of 251 patients admitted to a multidisciplinary, neurorehabilitation unit with intensive care unit capabilities. Disabil Rehabil 2018;42(4):528-535.

    OpenUrl
12. 12.↵
    1. Buhl I,
    2. Pallesen H

    . Early rehabilitation of patients with severe acquired brain injury: strategies to promote participation. Scand J Occup Ther 2015;22(3):181-195.

    OpenUrl
13. 13.↵
    1. Mortensen J,
    2. Jensen D,
    3. Kjaersgaard A

    . A validation study of the facial-oral tract therapy swallowing assessment of saliva. Clin Rehabil 2016;30(4):410-415.

    OpenUrlCrossRefPubMed
14. 14.↵
    1. Santus P,
    2. Gramegna A,
    3. Radovanovic D,
    4. Raccanelli R,
    5. Valenti V,
    6. Rabbiosi D,
    7. et al

    . A systematic review on tracheostomy decannulation: a proposal of a quantitative semiquantitative clinical score. BMC Pulm Med 2014;14:201.

    OpenUrl
15. 15.↵
    1. Heck G,
    2. Steiger-Bächler G,
    3. Schmidt T

    . Early functional abilities (EFA): eine Skala zur Evaluation von Behandlungsverläufen in der neurologischen Frrihehabilitation. Neurol Rehabil 2000;6(3):125-133.

    OpenUrl
16. 16.↵
    1. Stubbs PW,
    2. Pallesen H,
    3. Pedersen AR,
    4. Nielsen JF

    . Using EFA and FIM rating scales could provide a more complete assessment of patients with acquired brain injury. Disabil Rehabil 2014;36(26):2278-2281.

    OpenUrl
17. 17.↵
    1. Pedersen AR,
    2. Stubbs PW,
    3. Nielsen JF

    . Reducing redundant testing using the functional independence measure and early functional abilities scale during rehabilitation in patients with brain injury. Brain Inj 2018;32(9):1090-1095.

    OpenUrl
18. 18.↵
    1. Alvsåker K,
    2. Walther SM,
    3. Kleffelgård I,
    4. Mongs M,
    5. Drægebø RA,
    6. Keller A

    . Inter-rater reliability of the early functional abilities scale. J Rehabil Med 2011;43(10):892-899.

    OpenUrlPubMed
19. 19.↵
    1. Hankemeier A,
    2. Rollnik JD

    . The early functional abilities (EFA) scale to assess neurological and neurosurgical early rehabilitation patients. BMC Neurol 2015;15:207.

    OpenUrl
20. 20.↵
    1. Schneider H,
    2. Hertel F,
    3. Kuhn M,
    4. Ragaller M,
    5. Gottschlich B,
    6. Trabitzsch A,
    7. et al

    . Decannulation and functional outcome after tracheostomy in patients with severe stroke (DECAST): a prospective observational study. Neurocrit Care 2017;27(1):26-34.

    OpenUrl
21. 21.↵
    1. Wiley J

    1. Kalbfleisch JD,
    2. Prentice RL

    . The statistical analysis of failure time data Wiley J; 2002.
22. 22.↵
    1. Efron B

    . Logistic regression, survival analysis, and the Kaplan-Meier curve. J Am Stat Assoc 1988;83(402):414-425.

    OpenUrlCrossRefWeb of Science
23. 23.
    1. Jenkins SP

    . Easy estimation methods for discrete-time duration models. Oxf Bull Econ Stat 1995;57(1):129-136.

    OpenUrlCrossRefWeb of Science
24. 24.↵
    1. Singer JD,
    2. Willett JB

    . It’s about time: using discrete-time survival analysis to study duration and the timing of events. J Educ Stat 1993;18(2):155-195.

    OpenUrlCrossRef
25. 25.↵
    1. Harrell FE

    . Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis. New York: Springer; 2015.
26. 26.↵
    1. Rutherford MJ,
    2. Crowther MJ,
    3. Lambert PC

    . The use of restricted cubic splines to approximate complex hazard functions in the analysis of time-to-event data: a simulation study. J Stat Comput Simul 2015;85(4):777-793.

    OpenUrlCrossRef
27. 27.↵
    1. Ringrose H,
    2. Brown M,
    3. Walton K,
    4. Sivan M

    . Association between paroxysmal sympathetic hyperactivity and tracheostomy weaning in traumatic brain injury. NeuroRehabilitation 2018;42(2):207-212.

    OpenUrl
28. 28.
    1. Rollnik JD,
    2. Krauss JK,
    3. Gutenbrunner C,
    4. Wallesch C,
    5. Münte T,
    6. Stangel M

    . Weaning of neurological early rehabilitation patients from mechanical ventilation: a retrospective observational study. Eur J Phys Rehabil Med 2017;53(3):441-446.

    OpenUrl
29. 29.↵
    1. Chiavaroli F,
    2. Derraik JGB,
    3. Zani G,
    4. Lavezzi S,
    5. Chiavaroli V,
    6. Sherwin E,
    7. et al

    . Epidemiology and clinical outcomes in a multicentre regional cohort of patients with severe acquired brain injury. Disabil Rehabil 2016;38(20):2038-2046.

    OpenUrl
30. 30.↵
    1. Moons KGM,
    2. Royston P,
    3. Vergouwe Y,
    4. Grobbee DE,
    5. Altman DG

    . Prognosis and prognostic research: what, why, and how? BMJ 2009;338:b375.

    OpenUrlFREE Full Text
31. 31.↵
    1. Hernández G,
    2. Ortiz R,
    3. Pedrosa A,
    4. Cuena R,
    5. Vaquero Collado C,
    6. González Arenas P,
    7. et al

    . The indication of tracheotomy conditions the predictors of time to decannulation in critical patients. Med Intensiva 2012;36(8):531-539.

    OpenUrl
32. 32.↵
    1. Warnecke T,
    2. Suntrup S,
    3. Teismann IK,
    4. Hamacher C,
    5. Oelenberg S,
    6. Dziewas R

    . Standardized endoscopic swallowing evaluation for tracheostomy decannulation in critically ill neurologic patients. Crit Care Med 2013;41(7):1728-1732.

    OpenUrl