Statistical analysis
obesity, cerebrovascular accident, diabetic, diabetes
OBESITY, CEREBROVASCULAR ACCIDENT, REGRESSION, HYPERTENSION, COMPLICATIONS, DIABETES
Patients were stratified into two groups, normoglycemic and acute hyperglycemic, as defined above. Two study groups were compared in terms of the distribution of demographic, clinical, and angiographic characteristics and post-procedure complications and outcomes. Summary statistics such as mean ± standard deviation (SD)/median [interquartile range (IQR)] or frequency (%), appropriately. Appropriate statistical tests such as independent sample t-test (for normally distributed variables)/Mann-Whitney U test (for non-normal variables), or Chi-square test/Fisher’s exact test was used for the comparison. Considering the significant confounding effect of diabetes, the normoglycemic and acute hyperglycemic groups were also compared within diabetic and non-diabetic contexts. The univariate binary logistic regression analysis was performed for in-hospital mortality for all clinically significant potential predictors of mortality, including female gender, age (years), total ischemic time (hours), Killip class III/IV at presentation, hypertension, diabetes, smoking, history of cerebrovascular accident (CVA)/stroke, obesity (body mass index ≥ 30 kg/m