Weekly variation of hospital admissions for stroke in Nis (Serbia)

Clin Neurol Neurosurg. 2010 Jul;112(6):485-9. doi: 10.1016/j.clineuro.2010.03.026. Epub 2010 Apr 24.


Objectives: Weekly variability in stroke occurrence could be related to the change in behaviors of patients or medical personnel that occur during certain periods of the week. The aim of the present study was to examine the weekly variation in hospital admissions for stroke in Nis (Serbia), as well as to investigate how the demographic factors influenced these changes.

Patients and methods: The main data source for this study was the Nis Stroke Registry. During the study period (1996-2007) a total of 9675 stroke patients were registered. According to stroke subtypes, all registered patients were divided into three groups: patients with subarachnoid hemorrhage (SAH) (438 or 4.5%), patients with intracerebral hemorrhage (ICH) (1576 or 16.3%) and patients with ischemic stroke (IS) (6946 or 71.8%). Analyses were conducted separately for SAH, ICH and IS. Each stroke type was stratified by gender, age group and education level.

Results: We have showed that there is a significant weekly variability in the number of SAH (p=0.028) and IS (p<0.001) admissions, with the minimum number of admissions on Sundays (39.27 and 14.04% less than expected), and the maximum one on Tuesdays (21.46% more than expected) and Wednesdays (10.96% more than expected), respectively. We have also registered more SAH (p=0.015) and IS (p<0.001) admissions on weekdays than on weekend days.

Conclusion: Results of this hospital-based study confirm that there is a pattern in the variation of the number of stroke admissions on the weekly level. Reasons for the weekly variation of hospital admissions for stroke cannot be determined from the present study.

MeSH terms

  • Age Factors
  • Aged
  • Brain Ischemia / complications
  • Brain Ischemia / epidemiology
  • Cerebral Hemorrhage / complications
  • Cerebral Hemorrhage / epidemiology
  • Education
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Monte Carlo Method
  • Registries
  • Serbia / epidemiology
  • Sex Factors
  • Socioeconomic Factors
  • Stroke / classification
  • Stroke / epidemiology*
  • Stroke / etiology