Kawashima M, et al. - Using a novel scoring system, researchers intended to predict insulin requirements for optimal control of blood glucose during glucocorticoid (GC) treatments by assessing the clinical parameters before GC treatment. The enrollees included adults (the Developing set) undergoing their first treatment of prednisolone (PSL), who were divided into 2 groups, depending on treatment with or without insulin. The risk factors discovered were male, higher levels of fasting plasma glucose (FPG), HbA1c, and serum creatinine (CRE) and a higher initial dose of PSL. Findings reported that the sensitivity, specificity, and accuracy in the Developing set, Validation set A, and Validation set B, respectively, were 90.0%, 88.1%, and 88.4%; 87.5%, 66.7%, and 70.5%; 83.3%, 76.1%, and 76.6% when the scoring system was applied. The inference drawn was that the scoring system served as a valid and reliable tool to predict insulin requirements in advance during GC treatment.