Introduction: Previous studies have identified that social deprivation is associated with the onset of stroke, with people from areas of higher deprivation being more likely to have a stroke at a younger age.
Methods: Data were extracted from the national stroke register (Sentinel Stroke National Audit Programme (SSNAP)) of adults with acute ischemic stroke treated in all hospitals in England and Wales from April 2013-March 2014. The patient’s zip code of residence was used to link the data with an index of multiple deprivation, which groups zip codes into quartiles of deprivation.
Results: Of the 66798 adults with acute stroke discharged from 266 hospitals, deprivation data was available for 63007 patients (94.3%).The median age of stroke onset for the most deprived quartile was 5 years lower than for the least deprived quartile (74, 77, 79 and 79 years respectively, Kruskal-Wallis test p<0.001). For patients in the most deprived quartiles compared to the least deprived, the rate of primary intracerebral hemorrhage was lower (9.9%, 10.5%, 10.7% and 11.7% respectively, chi2 p<0.001), the rate of diabetes was higher (22.7%, 20.6%, 17.9% and 15.8%, chi2 p<0.001), and the prevalence of congestive heart failure, hypertension and previous stroke/TIA were similar for all groups. The rate of atrial fibrillation (AF) prior to stroke was lower for more deprived patients (17.6%, 19.8%, 22.9% and 22.6%, chi2 p<0.001), but the percentage of patients on anticoagulants if in AF was similar for all groups. Mortality at 30 days was lower in the most deprived group compared to the least deprived group (12.8%, 14.6%, 15.7% and 15.4%, chi2 p<0.001).
Conclusions: Patients living in more deprived areas have stroke at a younger age and are more likely to have a prior history of diabetes mellitus. Outcomes are similar for all groups but crude mortality at 30 days was lower for the most deprived group. This may be due to the lower median age of stroke onset, and the higher proportion of ischemic strokes. Predictive models for stroke outcome need to consider levels of deprivation and we are currently working on multivariable analysis to identify any independent effect of deprivation on mortality.