Variables associated with 7-day, 30-day, and 1-year fatality after ischemic stroke.
OBJECTIVE
Seven-day, 30-day, and 1-year case-fatality indicators have been used to compare stroke care among hospitals, provinces, and countries and to implement quality improvement strategies. However, limited information is available concerning variables associated with stroke case fatality at these different points in time. We sought to identify and compare variables associated with 7-day, 30-day, and 1-year stroke fatality.


METHODS
This was a cohort study of consecutive patients with acute ischemic stroke admitted to 11 stroke centers in Ontario, Canada, between July 2003 and March 2005 and captured in the Registry of the Canadian Stroke Network (RCSN). The RCSN database was linked to administrative databases to capture all deaths occurring within 7, 30, and 365 days of hospital admission for ischemic stroke. Logistic regression was used to determine variables associated with stroke fatality at each time point. Outcome measures were all-location mortality within 7 days, 30 days, and 1 year of hospital admission.


RESULTS
Our cohort included 3631 patients admitted with ischemic stroke. Seven-day case fatality was 6.9% (249/3631), 30-day case fatality was 12.6% (457/3631), and 1-year case fatality was 23.6% (856/3631). In the multivariable analyses, stroke severity, neurologic deterioration during hospitalization, nonuse of antithrombotics during hospital admission, and lack of assessment by a stroke team were the most consistent predictors of case fatality at 7 days, 30 days, and 1 year after stroke. Physician experience in stroke management was inversely associated with 7-day and 30-day mortality, whereas age, comorbid illness, and pneumonia during hospital admission were associated with 30-day and 1-year mortality.


CONCLUSIONS
Stroke severity and certain processes of care were associated with case fatality at 7 days, 30 days, and 1 year after stroke. This information may be useful for comparing risk-adjusted case-fatality rates among hospitals and for implementing strategies to improve the processes and quality of care in the acute phase of stroke.
Saposnik
Gustavo
G
Stroke Research Unit, Division of Neurology, Department of Medicine, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Canada. saposnikg@smh.toronto.on.ca
Hill
Michael D
MD
O'Donnell
Martin
M
Fang
Jiming
J
Hachinski
Vladimir
V
Kapral
Moira K
MK
D000208:Acute Disease; D000368:Aged; D000369:Aged, 80 and over; D002545:Brain Ischemia / Q000401:mortality*; D015331:Cohort Studies; D015897:Comorbidity; D005260:Female; D006291:Health Policy; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009864:Ontario / Q000453:epidemiology; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data*; D012042:Registries / Q000706:statistics & numerical data; D012307:Risk Factors; D012720:Severity of Illness Index; D020521:Stroke / Q000401:mortality*