Classification of Stroke Riskometer AppTM into low, moderate and high stroke risk range
N. Shazia Neelam, P. Senthil, S. Saina Swathi, S.Subramanian, A. Mohamed Nainar, L. Haribabu, E. Vijayabharathi
N. Shazia Neelam, P. Senthil, S. Saina Swathi, S.Subramanian, A. Mohamed Nainar, L. Haribabu, E. Vijayabharathi – Classification of Stroke Riskometer AppTM into low, moderate and high stroke risk range. Fizjoterapia Polska 2022; 22(4); 22-26
Background. Stroke is one of the leading of the causes of disability and according to the global burden of disease (GBD) study in 2010 it is the second leading cause of death worldwide. Developing countries reported 85% global burden of stroke enduring 80 percent of death due to hemorrhagic strokes. Stroke-related hospitalization rate in India is 46 per 100,000 persons. However Stroke Riskometer App can be used to significantly improve stroke and Non- Communicable disease prevention, since it operates on latest expansions in risk allocution/communication, International guidelines on stroke and Cardio-Vascular Disease prevention. However, the app does not classify the risk individuals into low, moderate and high categories which will not create any impact over the high risk individual, therefore it calls for the need to classify the tool into low, moderate and high risk ranges. Aim. To classify the Stroke Riskometer App into low, moderate and high stroke risk ranges among adult and elderly population. Methods. Participants were 250 samples selected from Chettinad Academy of Research and Education and S.A. Poly Clinic, Chennai, for over a_period of 6 months (April 2021-September 2021) and the Stroke Riskometer questionnaire along with Framingham Stroke Profile was filled, risk percentage from both the tools were recorded using the App for each individual. Results. Frequency analysis and Chi-square tests were performed, classifying the range into < 5% as low, 6-10% as moderate and > 10% as high risk in Stroke Riskometer tool. In Chi-square test it showed n = 104 as low risk, n = 11 as moderate risk,n = 14 as high risk in both FRS and Stroke Riskometer respectively. The chi-square value is 24.224 and the significant p value is < 0.0001showing that the value is performing well with FRS score. Conclusion. Though the App was classified into ranges it need to be continually developed and validated with larger sample size, heterogenous population and robust ethnic groups.
stroke risk factors, stroke, stroke risk scores, ischemic stroke, non-communicable
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