代谢相关脂肪性肝病患者发生肌少症性肥胖的风险因素和预测模型构建
Construction of a risk prediction model for sarcopenic obesity in patients with metabolism related fatty liver disease
周瑜 1钱丽雅 1徐洁 1马晓旭1
作者信息
- 1. 南京中医药大学张家港附属医院(张家港市中医医院)老年医学科(江苏 苏州,215600)
- 折叠
摘要
目的:探讨代谢相关脂肪性肝病(MAFLD)患者肌少症性肥胖(SO)发生的危险因素,构建预测模型.方法:回顾性选择2018 年6 月至2023 年6 月我院收治的410 例MAFLD患者,根据SO检出情况将MAFLD患者分为SO组(32 例)和非SO组(378例).多因素Logistic回归分析MAFLD患者发生SO的危险因素并构建预测模型,通过Hosmer-Lemeshow检验和受试者工作特征(ROC)曲线验证预测模型性能.结果:SO组年龄大于非SO组(P＜0.05),男性、糖尿病、Child-Pugh分级C级、每周运动频率 3 次以下比例高于非SO组(P＜0.05),BMI、HbA1C、HOMA-IR、hs-CRP高于非SO组(P＜0.05),白蛋白低于非SO组(P＜0.05).年龄偏大、高hs-CRP、高HOMA-IR、Child-Pugh分级C级是MAFLD患者发生SO的危险因素(P＜0.05).预测模型预测MAFLD患者发生SO的曲线下面积为0.829(95%CI=0.783～0.872),Hosmer-Lemeshow检验P＞0.05.结论:老龄、炎症、胰岛素抵抗、肝功能是MAFLD患者发生SO的相关因素,基于上述风险因素构建的预测模型具有较高的预测 MAFLD患者发生SO的效能.
Abstract
Objective:To explore the risk factors for the development of sarcopenic obesity(SO)in patients with Metabolic Associated Fatty Liver Disease(MAFLD)and to construct a predictive model.Methods:The clinical data of 410 patients with MAFLD admitted to our hospital from June 2018 to June 2023 were retrospectively selected,and the patients with MAFLD were divided into SO group(32 cases)and non-SO group(378 cases)according to the detection of SO.Multivariate Logistic regression was used to analyze the risk factors for developing SO in MAFLD patients and to construct a prediction model.The performance of the prediction model was verified by Hosmer-Lemeshow test and receiver operating characteristic(ROC)curve.Results:SO group was older than non-SO group(P＜0.05),male,diabetes,Child-Pugh grade C,exercise frequency less than 3 times/week ratio were higher than non-SO group(P＜0.05),BMI,HbA1C,HOMA-IR,hs-CRP were higher than non-SO group(P＜0.05).Albumin was lower than that in non-SO group(P＜0.05).Higher age,hs-CRP,HOMA-IR and Child-Pugh grade C were the risk factors for MAFLD patients to complicated with SO(P＜0.05).The area under the curve of SO in patients with pre-MAFLD predicted by the model was 0.829(95%CI=0.783～0.872).Conclusion:Age,chronic inflammation,insulin resistance and elevated liver function are risk factors for SO in patients with MAFLD.The prediction model based on the above risk factors has high efficacy in predicting SO in patients with MAFLD.
关键词
代谢相关脂肪性肝病/肌少症性肥胖/风险因素/预测模型Key words
Metabolic associated fatty liver disease/sarcopenic obesity/risk factors/prediction model引用本文复制引用
基金项目
江苏医药职业学院校地协同创新研究项目(20239610)
出版年
2024
国家科技期刊平台
NSTL
万方数据