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Association Between Prestroke Disability and Inpatient Mortality and Length of Acute Hospital Stay After Acute Stroke.
- Source :
- Journal of the American Geriatrics Society; Apr2012, Vol. 60 Issue 4, p726-732, 7p, 3 Charts
- Publication Year :
- 2012
-
Abstract
- Objectives To examine the prognostic value of prestroke disability in predicting inpatient mortality and length of hospital stay ( LOS) independent of age, sex, and stroke type and severity. Design Retrospective analysis of prospectively collected stroke registers. Setting United Kingdom. Participants Fourteen thousand four hundred thirty-seven individuals (52.9% female, mean age 75.4 ± 12.1) with stroke (82% ischemic) admitted to three university hospitals. Measurements Data were examined from three hospital registers: Aintree (2005-2010), Newcastle (2000-2005), and Norwich (1997-2010). Risk of inpatient death and prolonged hospital stay according to prestroke disability using the modified Rankin Score ( mRs) were assessed using logistic regression adjusting for age, sex, and stroke subtype (ischemic vs hemorrhagic) and severity. Results Inpatient death was 20.8%. In fully adjusted models, higher prestroke mRs was associated with significantly greater risk of mortality (for mRs = 1, 2, 3, 4, and 5 vs mRs = 0: odds ratio (OR)=1.28, 95% confidence interval (CI)=1.09-1.50; OR = 1.50, 95% CI = 1.29-1.75; OR = 1.85, 95% CI = 1.60-2.13; OR = 2.56, 95% CI = 2.15-3.04; and OR = 4.48, 95% CI = 3.47-5.80, respectively). The relationship appeared to be linear, and each point increase in mRs equated to being approximately 5 years older. Although age and stroke type appear to be strong independent predictors of LOS, premorbid mRs also predicted longer LOS regardless of discharge status. The predictability of the model using these parameters was very good (receiver operating characteristic: 0.82 for death and 0.65-0.70 for LOS). Conclusion Prestroke disability predicts inpatient death and LOS, independent of age, sex, and stroke type and severity. Whether this is related to mental or physical disability should be examined in future prospective studies. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANALYSIS of variance
CONFIDENCE intervals
EPIDEMIOLOGY
LENGTH of stay in hospitals
HOSPITALS
HOSPITAL admission & discharge
LONGITUDINAL method
DEATH rate
MULTIVARIATE analysis
PATIENTS
SCALES (Weighing instruments)
STROKE
LOGISTIC regression analysis
DATA analysis
DISABILITIES
RETROSPECTIVE studies
DATA analysis software
STROKE patients
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 00028614
- Volume :
- 60
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of the American Geriatrics Society
- Publication Type :
- Academic Journal
- Accession number :
- 74196561
- Full Text :
- https://doi.org/10.1111/j.1532-5415.2011.03889.x