Quantification of clinical scores through physiological recordings in low-responsive patients: a feasibility study
Open access
Autor(in)
Alle anzeigen
Datum
2012-05Typ
- Journal Article
ETH Bibliographie
yes
Altmetrics
Abstract
Clinical scores represent the gold standard in characterizing the clinical condition of patients in vegetative or minimally conscious state. However, they suffer from problems of sensitivity, specificity, subjectivity and inter-rater reliability.
In this feasibility study, objective measures including physiological and neurophysiological signals are used to quantify the clinical state of 13 low-responsive patients. A linear regression method was applied in nine patients to obtain fixed regression coefficients for the description of the clinical state. The statistical model was extended and evaluated with four patients of another hospital. A linear mixed models approach was introduced to handle the challenges of data sets obtained from different locations.
Using linear backward regression 12 variables were sufficient to explain 74.4% of the variability in the change of the clinical scores. Variables based on event-related potentials and electrocardiogram account for most of the variability.
These preliminary results are promising considering that this is the first attempt to describe the clinical state of low-responsive patients in such a global and quantitative way. This new model could complement the clinical scores based on objective measurements in order to increase diagnostic reliability. Nevertheless, more patients are necessary to prove the conclusions of a statistical model with 12 variables. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000056071Publikationsstatus
publishedExterne Links
Zeitschrift / Serie
Journal of NeuroEngineering and RehabilitationBand
Seiten / Artikelnummer
Verlag
BioMed CentralThema
Low-responsive patients; Vegetative state; Minimally conscious state; Clinical score; Quantification; Linear regressionOrganisationseinheit
03654 - Riener, Robert / Riener, Robert
ETH Bibliographie
yes
Altmetrics