Predicting hypoglycemia in elderly inpatients with type 2 diabetes: the ADOCHBIU model

作者：Ruiting Zhang, Yu Liu, Chao Sun, Quan-Ying Wu, Hong Guo, Gongming Wang, Keke Lin, Jing Wang, Xiao‐Yan Bai · 发表于：Frontiers in Endocrinology · 年份：2024 · DOI：10.3389/fendo.2024.1366184 · 被引用次数：6 · 研究领域：Diabetes Management and Research、Hyperglycemia and glycemic control in critically ill and hospitalized patients、Diabetes, Cardiovascular Risks, and Lipoproteins

Background Hypoglycemic episodes cause varying degrees of damage in the functional system of elderly inpatients with type 2 diabetes mellitus (T2DM). The purpose of the study is to construct a nomogram prediction model for the risk of hypoglycemia in elderly inpatients with T2DM and to evaluate the predictive performance of the model. Methods From August 2022 to April 2023, 546 elderly inpatients with T2DM were recruited in seven tertiary-level general hospitals in Beijing and Inner Mongolia province, China. Medical history and clinical data of the inpatients were collected with a self-designed questionnaire, with follow up on the occurrence of hypoglycemia within one week. Factors related to the occurrence of hypoglycemia were screened using regularized logistic analysis(r-LR), and a nomogram prediction visual model of hypoglycemia was constructed. AUROC, Hosmer-Lemeshow, and DCA were used to analyze the prediction performance of the model. Results The incidence of hypoglycemia of elderly inpatients with T2DM was 41.21% (225/546). The risk prediction model included 8 predictors as follows(named ADOCHBIU): duration of diabetes ( OR =2.276, 95% CI 2.097˜2.469), urinary microalbumin( OR =0.864, 95% CI 0.798˜0.935), oral hypoglycemic agents ( OR =1.345, 95% CI 1.243˜1.452), cognitive impairment ( OR =1.226, 95% CI 1.178˜1.276), insulin usage ( OR =1.002, 95% CI 0.948˜1.060), hypertension ( OR =1.113, 95% CI 1.103˜1.124), blood glucose monitoring ( OR =1.909, 95% CI 1.791˜2.036),...