World Health Organization (WHO) steps approach
In an effort to assist low-income and middle-income countries to establish surveillance systems for stroke, WHO recommended a stepwise approach (STEPS Stroke) through the use of standardized tools and methods for on-going core, expanded, and optional data collection.
1 This system consists of three steps representing the possible outcomes of stroke patients in the hospital and the community.
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Step-1: The first step is gathering data from hospitalised patients such as demographic characteristics, whether it is the first ever or recurrent stroke, vital status at discharge, treatment during stay, risk factor assessment, classification of subtypes and follow up till discharge or death.
Step-2: The second level of survey involves identifying and gathering information about the non-hospitalised fatal stroke cases in the community after proper validation from death certificates, verbal autopsy or from direct autopsies.
Step-3: The third step represents non-fatal and non-hospitalized in the community and is the most complex level of stroke data collection.
In this section we have summarised data of four population-based stroke epidemiology studies which were conducted according to the 'WHO-STEPS Stroke protocol' during the first decade of the 21st century in Mumbai,
10 Trivandrum,
11 Kolkata
12 and Bangalore
13 areas (
Figure 1). In the Mumbai study, which were conducted during a 2-year study period from January 2005 to December 2006, the crude annual incidence rate of first-ever stroke in people aged 25 years or more was 145/100,000 person-years (age-standardized incidence rate, 152/100,000 person-years).
10 In the Trivandrum study, which started its preparatory phase on January 2005 and completed its verification phase on August 2006, the crude annual incidence of any stroke was 117/100,000 person-years (age-standardized incidence rate, 135/100,000 person-years).
11 In the Kolkata study using a door-to-door survey, the age-standardized incidence rate of first-ever-in-a-lifetime stroke was 145/100,000 person-years.
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Age: It is assumed that the average age of patients with stroke in developing countries is usually 15 years younger than those in developed countries. In India, nearly one-fifth of patients with first-ever stroke admitted to hospitals has been estimated to be aged 40 years or less. But the Mumbai
10 and Trivandrum
11 registries showed that the mean age of patients with stroke was 66 and 67 years respectively. In contrast, in the Bangalore study the mean age was 54.5 years.
13 In Trivandrum, stroke occurred at rate of 7.1 per 1000 per year in people aged ≥55 years, and the rate escalated to 13.3 in people aged ≥75 years (age-adjusted).
11 The stroke in the young age group defined as 40 years or less comprised 3.8%. In this study, the mean age of stroke onset did not differ between the urban and rural populations.
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Gender: In the Mumbai registry, men had a higher stroke incidence rate than did women (crude incidence rate, 149/100,000 person-years for men versus 141/100,000 person-years for women; age-standardized incidence rate, 162/100,000 person-years for men versus 141/100,000 person-years for women).
10 Women were older (68.9 years) compared to men (63.4 years).
10 In the Trivandrum registry, the crude incidence rate was higher in women than in men (115/100,000 person-years for men and 119/100,000 person-years for women), but the age-standardized incidence rate was higher in men than in women (143/100,000 person-years for men and 128/100,000 person-years for women).
11 The Bangalore study also showed a greater preponderance among men (67%) with a male to female ratio of 2:1. The observed difference between age and gender and occurrence of stroke was statistically significant (
P<0.01).
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Stroke subtypes: Of patients with first-ever stroke captured in the Mumbai registry, CT imaging was done in 89.2%, and 80.2% were ischemic strokes and 17.7% hemorrhagic strokes (
Figure 2).
10 In the Trivandrum registry, 69.7% of patients underwent imaging. Of those, 83.6% were ischemic strokes, 11.6% intracerebral hemorrhages, and 4.8% subarachnoid haemorrhages, respectively.
11 There were more strokes of undetermined type in patients enrolled from the rural communities because of a lack of neuroimaging information (31.2%).
11 In the Kolkata study, 32% of the patients had hemorrhagic stroke, which is the highest figure reported so far from India.
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Risk factors: It has been estimated that hypertension causes 54% of stroke in low-income and middle-income countries, followed by hypercholesterolemia (15%) and tobacco smoking (12%).
14 In the Mumbai registry, 82.8% of patients had hypertension. However, verifiable data for other risk factors were not available.
10 In the Trivandrum registry, nearly 85% had hypertension, half had diabetes mellitus, 26% had dyslipidemia and 26.8% of men smoked tobacco. Compared to urban males, more rural males smoked tobacco (22.8% vs. 39.3%,
P=0.013). One risk factor was present in 38.4% patients, two in 42.0%, and three or more in 14.4% patients.
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Urban vs Rural: Of the 541 validated first-ever strokes in Trivandrum, 431 occurred in the urban community and 110 occurred in the rural community. The annual stroke incidence rate was slightly higher in the rural population than in the urban population (crude incidence rate, 116/100,000 person-years for the urban population versus 119/100,000 person-years for the rural population; age-standardized incidence rate, 135/100,000 person-years for the urban population versus 138/100,000 person-years for the rural population) (
Table 1).
11 It also showed that the number of smokers (men) and presence of multiple risk factors (more than 3) were significantly more in rural population than in urban population. Also the distribution of conventional stroke risk factors was remarkably similar among the urban and rural communities. However number of stroke patients who had imaging was significantly low in rural population.
11 Studies from India on cardiovascular risk factors have shown a 2 to 3 time's high prevalence of hypertension, hyperlipidemia, obesity, diabetes mellitus, and smoking (in men) in urban compared to rural communities.
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