| 注册
首页|期刊导航|护理学报|肝细胞癌伴低血糖症风险预测模型的构建与验证

肝细胞癌伴低血糖症风险预测模型的构建与验证

郑小静 严红虹 李慧景 陈思涓 陈秀梅

护理学报2025,Vol.32Issue(4):53-58,6.
护理学报2025,Vol.32Issue(4):53-58,6.DOI:10.16460/j.issn1008-9969.2025.04.053

肝细胞癌伴低血糖症风险预测模型的构建与验证

Construction and verification of risk prediction model for hypoglycemia with hepatocellular carcinoma

郑小静 1严红虹 1李慧景 1陈思涓 1陈秀梅1

作者信息

  • 1. 南方医科大学附属广东省人民医院(广东省医学科学院),广东 广州 510080
  • 折叠

摘要

Abstract

Objective To construct and validate a hypoglycemia risk prediction model in patients with primary hepatocellular carcinoma(HCC).Methods A total of 232 patients with primary HCC from April 2020 to June 2021 were involved and divided into hypoglycemia group(n=67)and non-hypoglycemia group(n=165)according to the occurrence of hypoglycemia.The risk factors were retrospectively analyzed and risk prediction model was established.ROC curve was used to verify the efficacy of the prediction model.Results The analysis revealed that Child-Pugh grade C(OR=9.050,95%CI 2.911-28.130,P<0.001)was a risk factor for hypoglycemia in patients with HCC;but glycated hemoglobin(OR=0.504,95%CI 0.325-0.780,P=0.002)was a protective factor.The regression model was:Y=2.317+0.056 Child-Pugh stage(B)+2.203 Child-Pugh stage(C)-0.686 HbA1c;The area of the ROC curve was 0.737(95%CI 0.660-0.814),with a sensitivity of 53.7%and specificity of 87.3%.Model validation showed that the area of the ROC curve was 0.827(95%CI 0.727-0.927),with a sensitivity of 55%and specificity of 81.8%,which suggests good prediction efficacy of the model.Conclusion The hypoglycemia risk prediction model in patients with HCC can help identify population with high risk of hypoglycemia and provide scientific basis for prospective nursing intervention for medical staff.

关键词

肝细胞癌/低血糖/风险预测模型

Key words

hepatocellular carcinoma/hypoglycemia/risk prediction model

分类

临床医学

引用本文复制引用

郑小静,严红虹,李慧景,陈思涓,陈秀梅..肝细胞癌伴低血糖症风险预测模型的构建与验证[J].护理学报,2025,32(4):53-58,6.

基金项目

广东省医学科研基金(B2021269) (B2021269)

护理学报

1008-9969

访问量0
|
下载量0
段落导航相关论文