BACKGROUND: Length of stay (LOS) is the main cost-determining factor of hospitalization of stroke patients. Our aim was to derive and validate a simple score for the assessment of the risk of prolonged LOS for acute stroke patients in a national setting. METHODS: Ischemic stroke (IS) and intracerebral hemorrhage (ICH) patients in the National Acute Stroke Israeli Surveys (NASIS 2004 and 2007) were included. Predictors of prolonged LOS (LOS > or =7 days) in the NASIS 2004 (n = 1,700) were identified with logistic regression analysis and used for the derivation of the Prolonged Length of Stay (PLOS) score. The score was validated in the NASIS 2007 (n = 1,648). RESULTS: Median (interquartile range) LOS was 6 (3-10) days in the derivation cohort (42.3% prolonged LOS) and 5 (3-8) in the validation cohort (35.7% prolonged LOS). The derivation cohort included 54.8% men, 90.8% IS and 9.2% ICH, with a mean (SD) age of 71.2 (12.5) years. Stroke severity was the strongest multivariable predictor of prolonged LOS: odds ratio (95% confidence interval [CI]) increased from 2.6 (2.0-3.3) for NIH Stroke Scale score (NIHSS) 6-10 to 4.9 (3.0-8.0) for NIHSS 16-20, compared with NIHSS < or =5. Stroke severity and type, decreased level of consciousness on admission, history of congestive heart failure, and prior atrial fibrillation were used for the derivation of the PLOS score (c statistics 0.692, 95% CI 0.666-0.718). The score performed similarly well in the validation cohort (c statistics 0.680, 95% CI 0.653-0.707). CONCLUSION: A simple prolonged length of stay score, based on available baseline information, may be useful for tailoring policy aimed at better use of resources and optimal discharge planning of acute stroke patients.
BACKGROUND: Length of stay (LOS) is the main cost-determining factor of hospitalization of strokepatients. Our aim was to derive and validate a simple score for the assessment of the risk of prolonged LOS for acute strokepatients in a national setting. METHODS:Ischemic stroke (IS) and intracerebral hemorrhage (ICH) patients in the National Acute Stroke Israeli Surveys (NASIS 2004 and 2007) were included. Predictors of prolonged LOS (LOS > or =7 days) in the NASIS 2004 (n = 1,700) were identified with logistic regression analysis and used for the derivation of the Prolonged Length of Stay (PLOS) score. The score was validated in the NASIS 2007 (n = 1,648). RESULTS: Median (interquartile range) LOS was 6 (3-10) days in the derivation cohort (42.3% prolonged LOS) and 5 (3-8) in the validation cohort (35.7% prolonged LOS). The derivation cohort included 54.8% men, 90.8% IS and 9.2% ICH, with a mean (SD) age of 71.2 (12.5) years. Stroke severity was the strongest multivariable predictor of prolonged LOS: odds ratio (95% confidence interval [CI]) increased from 2.6 (2.0-3.3) for NIH Stroke Scale score (NIHSS) 6-10 to 4.9 (3.0-8.0) for NIHSS 16-20, compared with NIHSS < or =5. Stroke severity and type, decreased level of consciousness on admission, history of congestive heart failure, and prior atrial fibrillation were used for the derivation of the PLOS score (c statistics 0.692, 95% CI 0.666-0.718). The score performed similarly well in the validation cohort (c statistics 0.680, 95% CI 0.653-0.707). CONCLUSION: A simple prolonged length of stay score, based on available baseline information, may be useful for tailoring policy aimed at better use of resources and optimal discharge planning of acute strokepatients.
Authors: James E Siegler; Amelia K Boehme; Bethena D Fowler; Alexander J George; Dominique J Monlezun; Karen C Albright; T Mark Beasley; Sheryl Martin-Schild Journal: South Med J Date: 2013-12 Impact factor: 0.954
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
Authors: Alexander J George; Amelia K Boehme; James E Siegler; Dominique Monlezun; Bethena D Fowler; Amir Shaban; Karen C Albright; T Mark Beasley; Sheryl Martin-Schild Journal: ISRN Stroke Date: 2013-08-14
Authors: Marco Stein; Björn Misselwitz; Gerhard F Hamann; Malgorzata A Kolodziej; Marcus H T Reinges; Eberhard Uhl Journal: Biomed Res Int Date: 2016-03-27 Impact factor: 3.411