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Article

External Validation and Calibration of the DecaPreT Prediction Model for Decannulation in Patients with Acquired Brain Injury

1
S. Anna Institute and Research in Advanced Neurorehabilitation (RAN), 88900 Crotone, Italy
2
de-Health Lab—DIMEG, UNICAL, 87100 Arcavacata di Rende, Italy
3
Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy, 87050 Mangone, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Michelle Ploughman
Brain Sci. 2021, 11(6), 799; https://doi.org/10.3390/brainsci11060799
Received: 23 April 2021 / Revised: 8 June 2021 / Accepted: 15 June 2021 / Published: 17 June 2021
(This article belongs to the Special Issue Clinical Usefulness of Research on Disorders of Consciousness)
We propose a new set of clinical variables for a more accurate early prediction of safe decannulation in patients with severe acquired brain injury (ABI), during a post-acute rehabilitation course. Starting from the already validated DecaPreT scale, we tested the accuracy of new logistic regression models where the coefficients of the original predictors were reestimated. Patients with tracheostomy were retrospectively selected from the database of the neurorehabilitation unit at the S. Anna Institute of Crotone, Italy. New potential predictors of decannulation were screened from variables collected on admission during clinical examination, including (a) age at injury, (b) coma recovery scale-revised (CRS-r) scores, and c) length of ICU period. Of 273 patients with ABI (mean age 53.01 years; 34% female; median DecaPreT = 0.61), 61.5% were safely decannulated before discharge. In the validation phase, the linear logistic prediction model, created with the new multivariable predictors, obtained an area under the receiver operating characteristics curve of 0.901. Our model improves the reliability of simple clinical variables detected at the admission of the post-acute phase in predicting decannulation of ABI patients, thus helping clinicians to plan better rehabilitation. View Full-Text
Keywords: acquired brain injury; tracheostomy; decannulation; prediction acquired brain injury; tracheostomy; decannulation; prediction
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MDPI and ACS Style

Leto, E.; Lofaro, D.; Lucca, L.F.; Ursino, M.; Rogano, S.; Scola, P.; Tonin, P.; Conforti, D.; Cerasa, A. External Validation and Calibration of the DecaPreT Prediction Model for Decannulation in Patients with Acquired Brain Injury. Brain Sci. 2021, 11, 799. https://doi.org/10.3390/brainsci11060799

AMA Style

Leto E, Lofaro D, Lucca LF, Ursino M, Rogano S, Scola P, Tonin P, Conforti D, Cerasa A. External Validation and Calibration of the DecaPreT Prediction Model for Decannulation in Patients with Acquired Brain Injury. Brain Sciences. 2021; 11(6):799. https://doi.org/10.3390/brainsci11060799

Chicago/Turabian Style

Leto, Elio, Danilo Lofaro, Lucia F. Lucca, Maria Ursino, Stefania Rogano, Paolo Scola, Paolo Tonin, Domenico Conforti, and Antonio Cerasa. 2021. "External Validation and Calibration of the DecaPreT Prediction Model for Decannulation in Patients with Acquired Brain Injury" Brain Sciences 11, no. 6: 799. https://doi.org/10.3390/brainsci11060799

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