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Dataset Information

Development and validation of a predictive scoring system for hypoglycaemic agents for optimal control of blood glucose during glucocorticoid therapy.


ABSTRACT:

Background

Glucocorticoid (GC) treatments are often used. There is limited information on the prediction of hyperglycaemia after GC administration.

Aims

This study aimed to identify the risk factors for hyperglycaemia after glucocorticoid (GC) administration and the need for hypoglycaemic agents to correct it and to develop and validate a novel scoring system for predicting GC-induced hyperglycaemia.

Methods

In a development set, 508 adults receiving prednisolone (PSL) for the first time were divided into two groups based on treatment with or without hypoglycaemic agents. Clinical and laboratory parameters were compared, and risk factors were identified using logistic regression analysis after performing univariate analyses between the two groups. A point-addition sco

SUBMITTER: Kato A 

PROVIDER: S-EPMC11610689 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature