Deepti Arora¹*, Harvinder Kaur Sidhu², Arya Devi KS¹ and Jeyaraj Durai Pandian¹

¹Department of Neurology, Christian Medical College, Ludhiana, Punjab, India
²Desh Bhagat University, Agriculture and Life Sciences, Mandi Gobindgarh, India

*Corresponding Author: Deepti Arora, M.Sc. Clinical Research, MSc Applied Psychology, PhD Scholar and Project Manager INSTRuCT Network, Department of Neurology, Christian Medical College, Ludhiana, Punjab, India.

Received: October 03, 2024; Published: October 30, 2024

Abstract

Background and Aims: Multimorbidity is common in stroke and contributes to poorer health status, high risk of mortality, and polypharmacy. Aim is to determine the prevalence of multimorbidity in stroke in India.

Methods: The data will be retrospectively collected from Secondary Prevention by Structured Semi-Interactive Stroke Prevention Package in INDIA (SPRINT India) done in 31 Indian hospitals from April 2018 to December 2021 on first-ever imaging confirmed stroke patients aged 18 years within two days to three months of onset. Multimorbidity is defined as the presence of two or more chronic health conditions with the stroke. Thirteen comorbid conditions will be studied with stroke using a simple count of chronic health conditions.

Results: All the patients who have completed 1-year follow-up in SPRINT India will be considered for the study. Frequency analysis will be used to find the distribution of categorical variables (demographics, socioeconomic, and comorbidities) and descriptive analysis for continuous variables (Body Mass Index (BMI), Blood pressure, and Blood sugar). Chi-square test to find out the association of multimorbidity with categorical baseline characteristics, type of stroke, and health outcomes, whereas to find the association between continuous variables and the presence of multimorbidity, an independent sample t-test or Mann-Whitney test will be used. Logistic regression will be used to find the predictors for multimorbidity and health outcomes. The P-value <0.05 will be considered significant.

Conclusion: The study will highlight several implications for future research on stroke multimorbidity in India and its relationship with functional outcome, mortality, sociodemographic and lifestyle factors.

 Keywords: Stroke; Multimorbidity; Comorbid Conditions; Mortality; Prevalence

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Citation

Citation: Deepti Arora., et al. “Multimorbidity in Stroke in India-Protocol Paper: Data from the Sprint India”. Acta Scientific Neurology 7.11 (2024): 26-30.

Copyright

Copyright: © 2024 Deepti Arora., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.