A novel prognostic model to predict the recovery of ischemie stroke patients

Author

Kegang Cao ; Caihong Fu ; Huanqin Li ; Xiyan Xin ; Ying Gao

Author_Institution

Neurology Dept., Beijing Univ. of Chinese Med., Beijing, China

fYear

2013

fDate

18-21 Dec. 2013

Firstpage

1

Lastpage

2

Abstract

Evaluating the prognosis of ischemic stroke can provide useful information for clinical treatment. A novel prognostic model to predict the recovery of ischemic stroke was constructed in this study. We built a prognostic model mainly based on these items including the National Institutes of Health Stroke Scale (NIHSS) score and Traditional Chinese Medicine (TCM) symptoms & signs and their changes during the first 3 days of ischemic stroke patients in three TCM hospitals. Selecting the optimal cut-offvalue for evaluating the prognosis with the Receiver Operating Characteristic (ROC) curve analysis. The result of validation on the data of west medicine hospital showed that the model had a good sensitivity and specificity for judging the prognosis of ischemic stroke.

Keywords

data analysis; medical disorders; patient rehabilitation; patient treatment; sensitivity analysis; NIHSS; National Institutes of Health Stroke Scale score; ROC; Receiver Operating Characteristic curve analysis; TCM hospital; Traditional Chinese Medicine symptoms & signs; clinical treatment; data validation; ischemic stroke patient recovery; ischemic stroke patients; ischemic stroke prognosis; ischemic stroke recovery; optimal cut-off value; prognostic model; sensitivity; specificity; west medicine hospital; Bismuth; Educational institutions; History; Hospitals; Predictive models; Prognostics and health management; Standards; ischemie stroke; prognostic model; recovery;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on

Conference_Location

Shanghai

Type

conf

DOI

10.1109/BIBM.2013.6732623

Filename

6732623