0 230

Cited 0 times in

Development and validation of a prediction model for home discharge in patients with moderate stroke: The Korean stroke cohort for functioning and rehabilitation study

 Min-Su Kim  ;  Min Cheol Joo  ;  Min Kyun Sohn  ;  Jongmin Lee  ;  Deog Young Kim  ;  Sam-Gyu Lee  ;  Yong-Il Shin  ;  Soo-Yeon Kim  ;  Gyung-Jae Oh  ;  Yang-Soo Lee  ;  Eun Young Han  ;  Junhee Han  ;  Jeonghoon Ahn  ;  Won Hyuk Chang  ;  Yun-Hee Kim  ;  Ji Yoo Choi  ;  Sung Hyun Kang  ;  Young Taek Kim 
 TOPICS IN STROKE REHABILITATION, Vol.27(6) : 453-461, 2020-01 
Journal Title
Issue Date
Disability Evaluation ; Patient Discharge ; Recovery of Function ; Rehabilitation ; Stroke
Background: Previous studies have investigated the predictors for home discharge without considering stroke severity.

Objectives: To develop a practical assessment tool that predicts home discharge for moderate stroke patients after subacute rehabilitation therapy in the tertiary hospitals.

Methods: Stroke patients with National Institutes of Health Stroke Scale scores of 6 to 13 were included in this prospective cohort study. Various demographic, clinical, and functional factors were analyzed as potential predictive factors. A weighted scoring model was developed through the following three-step process: 1) selection of the factors by logistic regression analyses, 2) development of a weighted scoring model, and 3) validation of the generalizability of the model.

Results: The home discharge rate was 51% (n = 372), and the overall mean length of stay of hospitalization was 32.5 days. 1) The Cognitive Functional Independence Measure, 2) the Functional Ambulation Categories, 3) the modified Charlson Comorbidity Index, and 4) marital status were independent predictors of home discharge. The coefficient value for marital status was adjusted to 1 in the scoring system, and the values of the other parameters were proportionally converted to the nearest integer. Possible total scores ranged from 0 to 13 in the model, with a higher score indicating a higher probability of home discharge. With a cutoff point of 7, this model showed 87.0% sensitivity and 86.2% specificity (area under the curve = 0.90).

Conclusions: This novel assessment tool can be useful in predicting home discharge after subacute rehabilitation of moderate stroke patients.
Full Text
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Rehabilitation Medicine (재활의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Deog Young(김덕용) ORCID logo https://orcid.org/0000-0001-7622-6311
사서에게 알리기


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.