title: Poststroke survival for black-Caribbean populations in barbados and South london.
abstract: OBJECTIVE
  There are variations in mortality rates for stroke in black communities, but the factors associated with survival remain unclear.
  
  
  METHODS
  The authors studied population-based stroke registers with follow up in South London (270 participants, 1995 to 2002) and Barbados (578 participants, 2001 to 2003). Differences in sociodemographic factors, stroke risk factors and their management, case severity, and acute management between London and Barbados were studied. Survival analysis used Kaplan-Meier curves, log-rank test, and Cox proportional hazards model with stratification.
  
  
  RESULTS
  There were 1411 person-years of follow-up. Patients in Barbados had poorer survival (log-rank test P=0.037), particularly those with a prestroke Barthel index scores between 15 and 20 (1-year survival, 56.4% versus 74.3%; P<0.001). This disadvantage remained significant (hazard ratio [HR], 1.99; 95% CI, 1.23 to 3.21, P=0.005) after adjustment for age and year of stroke and stratification for stroke subtype and socioeconomic status (SES). After stratification by SES, clinical stroke subtype, and Glasgow Coma Score, and adjustment for other potential confounders, additional factors reducing survival were untreated atrial fibrillation (AF; HR, 8.54; 95% CI, 2.14 to 34.08, P=0.002), incontinence after stroke (HR, 2.64; 95% CI, 1.79 to 3.89), and dysphagia (HR, 2.25; 95% CI, 1.57 to 3.24). Patients not admitted to the hospital had improved survival (HR, 0.35; 95% CI, 0.21 to 0.58). Interaction terms between location and Barthel score, location and AF, and location and transient ischemic attack were included in the final model to reflect the greater difference in survival with a high Barthel score of 15 or more, absence of untreated AF, and having untreated transient ischemic attack.
  
  
  CONCLUSIONS
  Black-Caribbean people with stroke living in Barbados have worse survival than similar patients in South London, particularly if they have good mobility before the stroke. Further exploration and refinement of measurement of confounding factors such as SES and poststroke management along with exploring the cultural/environmental differences between the communities is required to understand these stark differences.
authors.affiliation: King's College London, Division of Health and Social Care, Capital House, 42 Weston Street, London SE1 3QD, United Kingdom. charles.wolfe@kcl.ac.uk
authors.forename: Charles D A
authors.initials: CD
authors.lastname: Wolfe
authors.forename: David O C
authors.initials: DO
authors.lastname: Corbin
authors.forename: Nigel C
authors.initials: NC
authors.lastname: Smeeton
authors.forename: Glenda H E
authors.initials: GH
authors.lastname: Gay
authors.forename: Anthony G
authors.initials: AG
authors.lastname: Rudd
authors.forename: Anselm J
authors.initials: AJ
authors.lastname: Hennis
authors.forename: Rainford J
authors.initials: RJ
authors.lastname: Wilks
authors.forename: Henry S
authors.initials: HS
authors.lastname: Fraser
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001281:Atrial Fibrillation / Q000150:complications; D001460:Barbados / Q000453:epidemiology; D044383:Black People / Q000706:statistics & numerical data*; D017691:Caribbean Region / Q000208:ethnology; D003680:Deglutition Disorders / Q000209:etiology; D005260:Female; D006801:Humans; D002546:Ischemic Attack, Transient / Q000150:complications; D008131:London / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D011204:Poverty Areas; D016016:Proportional Hazards Models; D012042:Registries; D012720:Severity of Illness Index; D020521:Stroke / Q000150:complications / Q000401:mortality* / Q000503:physiopathology; D016019:Survival Analysis; D014505:Urban Population; D044465:White People / Q000706:statistics & numerical data