A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness

Steppacher I, Fuchs P, Kaps M, Nussbeck FW, Kißler J (2019)
BRAIN INJURY 34(3): 399-406.

Zeitschriftenaufsatz | E-Veröff. vor dem Druck | Englisch
 
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Abstract / Bemerkung
Background: Clinical outcome of patients with disorders of consciousness (DOC) is seen as generally very poor. Here, we specify individual outcome chances for patients with DOC on the basis of clinical and event-related-potentials (ERPs) data and identify subgroups, who vary substantially regarding their outcome chances. Methods: We employed data from 102 patients and used standard clinical protocol data (age, etiology, diagnosis, gender), sensory (N100, Mismatch-Negativity) and cognitive (P300, N400) ERPs to predict patients' recovery rates. Results: Two significant prediction models emerged: In both, subgroups of patients with good (51%, tree 1) to very good recovery chances (97%, tree 2) could be identified. The first model was obtained from standard clinical data. The second model included cognitive ERPs and resulted in considerably better patient classification. Moreover, when taking cognitive ERPs into account, the standard protocol data did not add further significant information, neither did sensory ERPs. Conclusion: The presented information about outcome chances of individual patients with DOC will be vital for these patients and critical for clinical professionals who have to direct specialized treatments and council relatives. Legal guardians and families, in turn, need to know what to expect in the future in order to prepare for the challenges ahead.
Stichworte
Disorders of consciousness; unresponsive wakefulness syndrome; minimal; consciousness state; logistic outcome-prediction
Erscheinungsjahr
2019
Zeitschriftentitel
BRAIN INJURY
Band
34
Ausgabe
3
Seite(n)
399-406
ISSN
0269-9052
eISSN
1362-301X
Page URI
https://pub.uni-bielefeld.de/record/2939428

Zitieren

Steppacher I, Fuchs P, Kaps M, Nussbeck FW, Kißler J. A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness. BRAIN INJURY. 2019;34(3):399-406.
Steppacher, I., Fuchs, P., Kaps, M., Nussbeck, F. W., & Kißler, J. (2019). A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness. BRAIN INJURY, 34(3), 399-406. doi:10.1080/02699052.2019.1695289
Steppacher, Inga, Fuchs, Peter, Kaps, Michael, Nussbeck, Fridtjof W., and Kißler, Johanna. 2019. “A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness”. BRAIN INJURY 34 (3): 399-406.
Steppacher, I., Fuchs, P., Kaps, M., Nussbeck, F. W., and Kißler, J. (2019). A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness. BRAIN INJURY 34, 399-406.
Steppacher, I., et al., 2019. A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness. BRAIN INJURY, 34(3), p 399-406.
I. Steppacher, et al., “A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness”, BRAIN INJURY, vol. 34, 2019, pp. 399-406.
Steppacher, I., Fuchs, P., Kaps, M., Nussbeck, F.W., Kißler, J.: A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness. BRAIN INJURY. 34, 399-406 (2019).
Steppacher, Inga, Fuchs, Peter, Kaps, Michael, Nussbeck, Fridtjof W., and Kißler, Johanna. “A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness”. BRAIN INJURY 34.3 (2019): 399-406.
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