ABSTRACT
Various physiological parameters like blood pressure, temperature, blood sugar after onset of stroke have been proposed as possible marker of stroke prognosis to study the glycaemic status after acute stroke and assess the role of glycaemic status along with other clinical parameters in influencing stroke outcome. Forty-two confirmed stroke patients attending hospital within 6 hours of onset of stroke onset were included in the study. The time lag for hospitalization, blood pressure, blood sugar, HbA1c, stroke severity according to Toronto Scale, demographic factors, stroke onset type, type of stroke, past history of stroke, diabetes, and hypertension were recorded. The outcome was whether patient survived at the end of forth week. Twenty-one percent of patients who were not known diabetic found to be hyperglycemic though their HBA1C level was normal. Eighty-nine percent of such patients died. This rate was significantly higher than patients known to be diabetic with raised sugar and HBA1c level (26% patients, 12% mortality). There was strong and significant association between stroke severity and poor outcome. Strong and significant association was also found between stroke severity and blood sugar level. Modeling of stroke outcome using decision tree analysis (QUEST) found stroke severity as most important and significant predictor especially for severe stroke cases. In mild and moderately severe stroke, high sugar level was found to be a predictor, though not statistically significant.This study suggests that stroke severity is the most important predictor of stroke outcome, with high sugar level as a marker of stroke severity.