逻辑回归
生长抑素
医学
低血糖
内科学
胃肠病学
回顾性队列研究
单变量分析
接收机工作特性
胃肠道出血
人口
多元分析
环境卫生
胰岛素
作者
Zeyu Zhang,Lei Chen,Xiaoying Wang,Qingshan Wang,Guangli Li,Xiaojuan Wang
出处
期刊:International Journal of Clinical Pharmacology and Therapeutics
[Dustri-Verlag Dr. Karl Feistle]
日期:2024-01-01
卷期号:62 (01): 29-36
摘要
This study aimed to explore the risk factors of hypoglycemia in patients with gastrointestinal bleeding caused by somatostatin for injection and to establish a prediction model based on logistic regression combined with receiver operating characteristic (ROC) curve.This retrospective study analyzed patients diagnosed with gastrointestinal bleeding and treated with somatostatin from January 2022 to May 2023 and collected hypoglycemic events. Univariate and multivariate logistic regression analysis were used to determine the independent influencing factors of somatostatin-induced hypoglycemia, and a prediction model was established. ROC analysis was used to evaluate the prediction model.A total of 331 patients were enrolled in this study, and 42 patients developed hypoglycemic events. Age and co-infection were found to be significant risk factors for hypoglycemia in patients with gastrointestinal bleeding induced by somatostatin. Binary logistic regression fitting established the hypoglycemia prediction model Logit (P) = -4.125+0.053Yage+1.366Yco-infection (co-infection: Xco-infection = 1, non-co-infection: Xno co-infection = 0), Hosmer-Lemeshow test results showed that the model had a good fit (χ2 = 10.552, df = 8, p = 0.228), and the AUC of the prediction model to predict the risk of hypoglycemia caused by somatostatin in patients with gastrointestinal bleeding was 0.744 (95% CI: 0.653 - 0.835, p < 0.001), the sensitivity was 57.14%, and the specificity was 93.77%.Among adult patients with gastrointestinal bleeding treated with somatostatin for injection, our study found that age and co-infection were significant risk factors for somatostatin-induced hypoglycemia in this patient population, and the fitted models had high predictive value in predicting the occurrence of hypoglycemia.
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