Prediction of length of stay for stroke patients
- 13 November 2006
- journal article
- Published by Hindawi Limited in Acta Neurologica Scandinavica
- Vol. 116 (1), 15-19
- https://doi.org/10.1111/j.1600-0404.2006.00756.x
Abstract
Objectives – To examine the factors that influence acute and total length of stay (LOS) for stroke patients. Materials and methods – The basis of this investigation was a population-based cohort of first-ever stroke patients (n = 388). Subjects were survivors of the initial hospitalization (n = 295). Age, sex, social factors, risk factors, dementia, stroke type, and stroke severity, measured with the NIH stroke scale (NIHSS), were registered. Results – Mean acute LOS was 12 days and mean total LOS was 29 days. Independent predictors of acute LOS were stroke severity, lacunar stroke, prestroke dementia, and smoking. Independent predictors of total LOS were stroke severity and prestroke activities of daily living (ADL) dependency. The NIHSS items that best correlated with LOS were paresis, unilateral neglect and level of consciousness. Conclusions – Stroke severity is a strong and reliable predictor of LOS. The results of this study can be used as a baseline for evaluating cost-effectiveness of stroke care changes, e.g. organizational changes or evaluation of new drugs.Keywords
This publication has 18 references indexed in Scilit:
- The predictive factors for length of stay for stroke patients in Taiwan using the path modelInternational Journal of Rehabilitation Research, 2006
- CROSS-VALIDATION OF A MODEL FOR PREDICTING FUNCTIONAL STATUS AND LENGTH OF STAY IN PATIENTS WITH STROKEJournal of Rehabilitation Medicine, 2006
- Prediction of Length of Stay of First-Ever Ischemic StrokeStroke, 2002
- High Incidence Rates of Stroke in Örebro, Sweden: Further Support for Regional Incidence Differences within ScandinaviaCerebrovascular Diseases, 2002
- A study of the factors which influence the length of hospital stay of stroke patients.Clinical Rehabilitation, 1998
- POST-STROKE INPATIENT REHABILITATIONAmerican Journal of Physical Medicine & Rehabilitation, 1996
- Comparing Stroke Incidence WorldwideStroke, 1996
- Improved reliability of the NIH Stroke Scale using video training. NINDS TPA Stroke Study Group.Stroke, 1994
- Predicting length of stay, functional outcome, and aftercare in the rehabilitation of stroke patients. The dominant role of higher-order cognition.Stroke, 1993
- Classification and natural history of clinically identifiable subtypes of cerebral infarctionThe Lancet, 1991