中老年2型糖尿病患者肌少症风险预测模型的构建与验证
Construction and validation of a risk prediction model for sarcopenia in middle-aged and elderly patients with type 2 diabetic patients
仲蕾 1张会 1许静 2陆雅维 2项晓婷 2王若梅 3王珩4
作者信息
- 1. 安徽医科大学 护理学院,安徽 合肥 230601;安徽医科大学第一附属医院 护理部,安徽 合肥 230022;安徽省公共卫生临床中心 护理部 安徽 合肥 230000
- 2. 安徽医科大学 护理学院,安徽 合肥 230601
- 3. 安徽医科大学第一附属医院 护理部,安徽 合肥 230022;安徽省公共卫生临床中心 护理部 安徽 合肥 230000
- 4. 安徽医科大学第一附属医院 院长室,安徽 合肥 230022
- 折叠
摘要
目的:调查中老年2 型糖尿病患者肌少症危险因素,并构建列线图模型.方法:采用便利抽样的方法,选取安徽省某三级甲等医院内分泌科2023 年5 月—2023 年12 月收治的2 型糖尿病患者349 例,对其进行问卷调查.采用单因素和多因素Logistic回归分析对2 型糖尿病患者肌少症危险因素进行探讨,并构建可视化的风险预测模型.通过受试者工作特征(ROC)曲线下面积对模型预测效能进行了验证.结果:2 型糖尿病患者肌少症的发生率为16.9%(59/349).多因素分析结果显示,病程、每周锻炼次数、BMI、小腿围、匹兹堡睡眠质量指数(PSQI)得分、营养状态评估(MNA-SF)得分是2 型糖尿病患者发生肌少症的影响因素.基于以上因素构建肌少症的风险预测模型,ROC曲线下面积为0.982[95%CI(0.968,0.995)];最佳临界值为0.366,灵敏度为0.966,特异度为0.934.H-L拟合优度检验显示,χ2=2.446,P=0.964;Brier评分为0.036.结论:肌少症风险预测模型预测效能较好,可为医护人员进行临床决策提供参考.
Abstract
Objective:To investigate the risk factors of sarcopenia in middle-aged and elderly patients with type 2 diabetes and construct a nomogram model.Methods:In this cross-sectional study,a total of 349 patients with type 2 diabetes admitted from May 2023 to December 2023 in the Department of Endocrinology of a tertiary A-level hospital in Anhui Province were selected and investigated using questionnaires and convenient sampling.Univariate analysis and Logistic regression analysis were performed to explore the risk factors of sarcopenia in type 2 diabetes patients,and a visual risk prediction model was constructed.The prediction efficiency of the model was verified by the region under receiver operating characteristic(ROC)curve.Results:The incidence of sarcopenia in patients with type2 diabetes was16.9%(59/349).Multivariate logistic regression analysis showed that diabetes course,the number of exercises per week,BMI,calf girth,Pittsburgh Sleep Quality Index(PSQI)score,and Nutritional Status Assessment(MNA-SF)score were the influencing factors for the development of sarcopenia in patients with type 2 diabetes.According to these variables,a prediction model was constructed,and the area under the ROC curve was 0.982[95%CI(0.968,0.995)].The optimal critical value was 0.366,the sensitivity was 0.966,and the specificity was 0.934.The H-L test showed that χ2=2.446,P=0.964,and Brier score was 0.036.Conclusion:The risk prediction model of sarcopenia is effective and can provide reference for clinical treatment.
关键词
老年人/中年人/2型糖尿病/肌少症/预测模型Key words
the aged/middle-aged people/type 2 diabetes/sarcopenia/predictive model引用本文复制引用
基金项目
2024年度安徽医科大学护理学院研究生青苗培育项目(hlqm120240080)
2020年国家重点研发计划(2020YFC2006500)
出版年
2024
NETL
NSTL
万方数据