The One Year Mortality and Morbidity Outcome with Hyperglycemia among Acute Cerebrovascular Accident Patients in Emergency Department is an extensive prospective cohort study designed to look into how hyperglycemia affects the short- and long-term outcomes of patients who present to the emergency room with acute cerebrovascular accidents (CVAs). Worldwide, cerebrovascular accidents are a major source of both death and morbidity. Research on the long-term consequences of hyperglycemia and its association with worse outcomes during the acute period of stroke is still underway. This study aims to close this information gap by investigating the relationship between the rates of immediate short- and one-year mortality rates and morbidity and hyperglycemia at the time of CVA presentation. The research design adopts a prospective cohort approach, aligning with established guidelines to ensure methodological rigor. Systematic random sampling will be employed, with a calculated sample size of 60. Patients with acute cerebrovascular accidents who are admitted to the emergency department will be a carefully chosen group for the research. The investigators will carefully gather important data, such as baseline clinical parameters, medical history, demographics, and blood glucose levels upon admission. Throughout a year, follow-up evaluations will be carried out regularly to monitor death rates and evaluate functional and neurological results in research participants using the modified Rankin score. The study will use a structured questionnaire for data collection, involving chart review and face-to-face interviews at specified intervals. Data analysis will include bivariate analysis, logistic regression, and Kaplan-Meier analysis to identify predictors of mortality and morbidity. The ultimate goal of this research is to improve patient care, prognosis, and long-term quality of life for those impacted by this critical medical condition by illuminating the prolonged effects of hyperglycemia in acute cerebrovascular accident patients and deepening our understanding of the intricate interactions between metabolic factors and stroke outcomes.