Factors delaying hospital admission after stroke in Leicestershire.
OBJECTIVE
Use of thrombolysis and acute treatments for cerebral infarction may require that acute stroke be treated as a medical emergency. To assess the factors influencing the time to admission in acute stroke, we conducted a prospective study of all such patients admitted to the hospitals in Leicester, UK, over a 12-month period.


METHODS
Factors assessed were age, sex, time of stroke onset, stroke severity, home circumstances, and routes of admission. Initial between-group comparisons were made with the Mann-Whitney U test. The individual contribution of each of these variables was assessed with multiple linear regression analysis.


RESULTS
An accurate time of stroke onset was identified in 374 (70%) of 535 registered patients (median age 77 [range, 29-98] years; 332 men, 203 women). Median time from onset to admission was 6 hours, with 25% of the patients arriving in less than 2.5 hours and 75% in less than 11.5 hours. Multiple regression confirmed that only admission through the bed allocation bureau (p less than 0.001), living alone (p less than 0.001), and nocturnal onset (p = 0.003) prolonged delay time. Despite patients over 70 years of age taking a median of 7 hours from onset to admission compared with 4 hours for those under age 70 (p less than 0.001), the effect of age appeared to be dependent on these three factors. Age, sex, level of consciousness, rural domicile, and place of admission did not influence the delay time independently.


CONCLUSIONS
We have identified some of the factors affecting the hospital admission delay time for stroke. With the possible advent of effective early treatments for stroke, these factors will need to be addressed.
Harper
G D
GD
University Department of Medicine for the Elderly, Leicester General Hospital, UK.
Haigh
R A
RA
Potter
J F
JF
Castleden
C M
CM
D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002561:Cerebrovascular Disorders / Q000628:therapy*; D004739:England; D005260:Female; D006760:Hospitalization; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D013997:Time Factors; D014481:United States