BACKGROUND AND PURPOSE: Accurate information about hospital resource utilization is necessary for management of healthcare service. The purpose of this study was to determine the demographic and clinical predictors of length of hospital stay (LOS) of acute care hospitalization for first-ever ischemic stroke patients. METHODS: A group of 330 patients who suffered from first-ever ischemic stroke and were consecutively admitted to a medical center in southern Taiwan were followed prospectively. Because our intention was to identify the major predictors of LOS from the information available at admission, we evaluated only those factors that could be assessed at the time of admission. Univariate analysis and multiple regression analysis were used to identify the main predictors of LOS. RESULTS: The median LOS was 7 days (mean, 11 days; range, 1 to 122 days). Among the prespecified demographic and clinical characteristics, National Institutes of Health Stroke Scale (NIHSS) score at admission, the quadratic term of the initial NIHSS score, modified Barthel Index score at admission, small-vessel occlusion stroke, sex, and smoking were the main explanatory factors for LOS. In particular, for each 1-point increase in the total score of NIHSS, LOS increased approximately 1 day for patients with mild or moderate (score 0 to 15 points) neurological impairments, while LOS decreased approximately 1 day for patients with severe (score >15 points) neurological impairments. CONCLUSIONS: The severity of stroke, as rated by the total score on NIHSS, is an important factor that influences LOS after acute stroke hospitalization.
BACKGROUND AND PURPOSE: Accurate information about hospital resource utilization is necessary for management of healthcare service. The purpose of this study was to determine the demographic and clinical predictors of length of hospital stay (LOS) of acute care hospitalization for first-ever ischemic strokepatients. METHODS: A group of 330 patients who suffered from first-ever ischemic stroke and were consecutively admitted to a medical center in southern Taiwan were followed prospectively. Because our intention was to identify the major predictors of LOS from the information available at admission, we evaluated only those factors that could be assessed at the time of admission. Univariate analysis and multiple regression analysis were used to identify the main predictors of LOS. RESULTS: The median LOS was 7 days (mean, 11 days; range, 1 to 122 days). Among the prespecified demographic and clinical characteristics, National Institutes of Health Stroke Scale (NIHSS) score at admission, the quadratic term of the initial NIHSS score, modified Barthel Index score at admission, small-vessel occlusion stroke, sex, and smoking were the main explanatory factors for LOS. In particular, for each 1-point increase in the total score of NIHSS, LOS increased approximately 1 day for patients with mild or moderate (score 0 to 15 points) neurological impairments, while LOS decreased approximately 1 day for patients with severe (score >15 points) neurological impairments. CONCLUSIONS: The severity of stroke, as rated by the total score on NIHSS, is an important factor that influences LOS after acute stroke hospitalization.
Authors: Raymond C S Seet; Erle C H Lim; Y H Chan; Bernard P L Chan; Amy M L Quek; Benjamin K C Ong Journal: Neurol Sci Date: 2009-04-22 Impact factor: 3.307
Authors: Jade W Wei; Emma L Heeley; Stephen Jan; Yining Huang; Qifang Huang; Ji-Guang Wang; Yan Cheng; En Xu; Qidong Yang; Craig S Anderson Journal: PLoS One Date: 2010-09-28 Impact factor: 3.240
Authors: Shadi Yaghi; Adam de Havenon; Tristan Honda; Jason D Hinman; Radoslav Raychev; Latisha K Sharma; Song Kim; Edward Feldmann; Jose G Romano; Shyam Prabhakaran; David S Liebeskind Journal: J Neuroimaging Date: 2021-02-10 Impact factor: 2.486