中国现代医生2026，Vol.64Issue(20)：9-12,4.DOI:10.3969/j.issn.1673-9701.2026.20.003
严重颅脑损伤患者应激性高血糖列线图预测模型构建与验证
Construction and validation of nomogram prediction model for stress hyperglycemia in patients with severe traumatic brain injury
摘要
Abstract
Objective To constract and validate a nomogram prediction model of stress hyperglycemia(SHG)in patients with severe traumatic brain injury.Methods A total of 262 patients with severe traumatic brain injury admitted to Affiliated People's Hospital of Jiangsu University from January 2020 to August 2024 were selected as study subjects.Based on whether SHG occurred,the subjects were divided into SHG group(n=111)and non-SHG group(n=151).Univariate and multivariate Logistic regression analysis were performed to identify characteristic variables,and a regression model was constructed.The model's efficacy was validated using the Bootstrap resampling method.Results Among 262 patients with severe traumatic brain injury,111 patients developed SHG,yielding an incidence rate of 42.37%.Hemoglobin levels,glucose administration,mechanical ventilation use were the risk factors influencing the occurrence of SHG.The constructed nomogram model was found to have an area under the receiver operating characteristic curve of 0.724(95%CI:0.662-0.786).The calibration curve analysis demonstrated excellent consistency between predicted probabilities and actual observed probabilities,while the decision curve analysis revealed that the model exhibits significant clinical net benefit.Conclusion This study constructed a risk prediction model for SHG in patients with severe traumatic brain injury comprising three factors,with the nomogram model demonstrating high accuracy,discrimination power,and clinical applicability.关键词
颅脑损伤/应激性高血糖/列线图/预测模型Key words
Traumatic brain injury/Stress hyperglycemia/Nomogram/Prediction model分类
医药卫生引用本文复制引用
姜敏珠,邹圣强..严重颅脑损伤患者应激性高血糖列线图预测模型构建与验证[J].中国现代医生,2026,64(20):9-12,4.基金项目
江苏省镇江市社会发展指导性科技项目(FZ2023056) （FZ2023056）
