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Journal of Zhejiang University. Medical sciences ; (6): 267-274, 2019.
Article in Chinese | WPRIM | ID: wpr-775224

ABSTRACT

OBJECTIVE@#To investigate the effect of working time on the prognosis of patients with ischemic stroke undergoing intravenous thrombolysis.@*METHODS@#Clinical data of 3050 patients with ischemic stroke received intravenous thrombolysis from 71 hospitals in Zhejiang Province during June 2017 and September 2018 were retrospective analyzed. Whole day of Saturday and Sunday were defined as weekend; whole day of Monday to Friday were defined as weekdays; Monday to Friday 8:00-17:00 were defined as daytime of weekdays; Monday to Friday 17:01-07:59 on next day were defined as nights of weekdays; unconventional working time were defined as weekend and nights of weekdays. Good outcome was defined as mRS 0-2 at 3 months. Univariate analyses of baseline and prognostic variables in group of weekend and weekdays, nights of weekdays and daytime of weekdays, unconventional working time and daytime of weekdays were performed. Binary logistic regression was used to investigate whether weekend, nights of weekdays and unconventional working time were independent predicting factors of outcome after intravenous thrombolysis, respectively.@*RESULTS@#There was no difference in 7-day mortality, 3-month mortality and good outcome at 3-month between weekend group and weekdays group, nights of weekdays group and daytime of weekdays group, unconventional working time group and daytime of weekdays group (all >0.05). Binary logistic regression results showed that weekends, nights of weekdays and unconventional working time were not independent predicting factors for outcome after intravenous thrombolysis (all >0.05).@*CONCLUSIONS@#The working time has not affected the outcomes of patients with ischemic stroke undergoing intravenous thrombolysis in studied hospitals of Zhejiang province.


Subject(s)
Humans , Brain Ischemia , Drug Therapy , Prognosis , Retrospective Studies , Stroke , Drug Therapy , Thrombolytic Therapy , Time Factors
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