How generalisable is INTERSTROKE?

Is stroke incidence in low- to middle-income countries driven by economics?

The incidence of stroke in low- to middle-income countries now exceeds that in high-income countries. These low- to middle-income countries also have greater case fatality and a younger age of stroke onset, factors that contribute to a high stroke burden. Macroeconomic indicators of socioeconomic status, such as health expenditure, appear to be inversely associated with stroke incidence. However, there are often large socioeconomic gradients between regions such as between urban and rural regions. This article emphasizes that macroeconomic indicators are likely to mask regional disparities in stroke incidence. Public health messages and prevention strategies must therefore be targeted regionally rather than nationwide. Without a comprehensive and multifaceted approach to prevention, the epidemic of stroke will continue.

Population-attributable risks for ischemic stroke in a community in South Brazil: a case-control study

Background

Risk factors for ischemic stroke are mostly known, but it is still unclear in most countries, what are their combined population-attributable risk percent (PAR%). In a case-control study the individual odds ratios (ORs) and the individual and combined PAR%, including risk factors not addressed in previous studies were estimated.

Methods

Cases and controls were selected from patients attending to an emergency department. Cases were patients aged with 45 years or more with the first episode of ischemic stroke, characterized by a focal neurological deficit or change in the mental status occurring during the previous 24 hours. Controls, matched to cases by age and gender, were selected from patients without neurological complaints.

Results

133 cases and 272 controls were studied. Odds ratios for ischemic stroke were: atrial fibrillation (27.3; CI 95% 7.5–99.9), left ventricular hypertrophy (20.3; CI 95% 8.8–46.4), history of hypertension (11.2; CI 95% 5.4–23.3), physical inactivity (6.6; CI 95% 3.3–13.1), low levels of HDL-cholesterol (5.0; CI 95%2.8–8.9), heavy smoking (2.8; CI 95% 1.5–5.0), carotid bruit (2.5; CI 95% 1.3–4.6), diabetes (2.4; CI 95% 1.4–4.0) and alcohol abuse (2.1; CI 95% 1.1–4.0), The combination of these risk factors accounted for 98.9% (95% CI; 96.4%–99.7%) of the PAR% for all stroke.

Conclusions

Nine risk factors, easily identified, explain almost 100% of the population attributable risk for ischemic stroke.