2型糖尿病合并冠心病患者血糖、血清Metrnl蛋白水平变化及其与患者预后的相关性分析  

Analysis of Changes in Blood Glucose and Serum Metrnl Protein Levels in Patients with Type 2 Diabetes Complicated with Coronary Heart Disease and their Correlation with Prognosis

作　　者：陈韭铭 CHEN Jiuming(Department of Laboratory Medicine,Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine,Shanghai 201800)

机构地区：[1]上海交通大学医学院附属瑞金医院检验科,上海201800

出　　处：《医学临床研究》2024年第10期1483-1486,共4页Journal of Clinical Research

摘　　要：【目的】探讨2型糖尿病(T2DM)合并冠心病(CHD)患者血糖、血清Metrnl蛋白水平变化及其与患者预后的相关性。【方法】选取2021年3月至2023年3月本院收治的102例T2DM合并CHD患者,按照病情严重程度分为高危组(n=25)、中危组(n=37)、低危组(n=40);根据预后情况分为预后良好组(n=79)和预后不良组(n=23)。比较各组基线资料、24 h血糖、血糖波动幅度、血清Metrnl蛋白水平,采用Pearson分析各指标的相关性,采用Logistic多因素分析T2DM合并CHD患者预后的影响因素并构建列线图,采用受试者工作特征(ROC)曲线分析血糖、血清Metrnl蛋白预测T2DM合并CHD患者预后的效能。【结果】高危组、中危组、低危组血糖波动幅度、24 h血糖、Metrnl蛋白水平比较,差异均有统计学意义(P<0.05)。预后良好组24 h血糖、血糖波动幅度低于预后不良组,Metrnl蛋白水平高于预后不良组(P<0.05)。Pearson分析显示:患者Metrnl蛋白水平与血糖波动幅度、24 h血糖呈显著负相关(P<0.05)。Logistic多因素分析结果显示:24 h血糖、血糖波动幅度和Metrnl蛋白是T2DM合并CHD患者预后的影响因素(P<0.05)。ROC曲线分析结果显示:24 h血糖、血糖波动幅度和Metrnl蛋白三者联合预测T2DM合并CHD患者预后的效能明显优于24 h血糖、血糖波动幅度和Metrnl蛋白单独预测。【结论】T2DM合并CHD患者血糖、血清Metrnl蛋白水平随着病情严重程度变化显著,且其与患者预后显著相关。【Objective】The purpose of this study was to investigate the changes in blood glucose,serum Metrnl protein levels,and their correlation with prognosis in patients with type 2 diabetes mellitus(T2DM)complicated with coronary heart disease(CHD).【Methods】A total of 102 patients with T2DM and CHD admitted to our hospital from March 2021 to March 2023 were selected and divided into the high-risk group(n=25),moderate-risk group(n=37),and low-risk group(n=40)according to the severity of the disease.The patients were further divided into a good prognosis group(n=79)and an unfavorable prognosis group(n=23)based on the prognosis.The baseline data,24 h blood glucose,blood glucose fluctuation amplitude,and serum Metrnl protein levels of the groups were compared.The correlation between each indicator and prognosis was analyzed by Pearson correlation analysis.The factors affecting the prognosis of patients with T2DM and CHD were analyzed by Logistic regression analysis and a Receiver Operating Characteristic(ROC)curve was used to analyze the predictive ability of blood glucose and serum Metrnl protein levels in predicting the prognosis of patients with T2DM and CHD.【Results】There were significant differences in 24 h blood glucose,blood glucose fluctuation amplitude,and serum Metrnl protein levels among the high-risk group,moderate-risk group,and low-risk group(P<0.05).The 24 h blood glucose,blood glucose fluctuation amplitude,and serum Metrnl protein level of the good prognosis group were lower than those of the unfavorable prognosis group(P<0.05).Pearson correlation analysis showed that the serum Metrnl protein level was negatively correlated with blood glucose fluctuation amplitude and 24 h blood glucose(P<0.05).The Logistic multivariate analysis results showed that 24 h blood glucose,blood glucose fluctuation amplitude,and serum Metrnl protein were influencing factors for the prognosis of patients with T2DM and CHD(P<0.05).The results of ROC curve analysis showed that the combined prediction of 24 h blood glucose

关 键 词：糖尿病 2型/并发症 冠心病/并发症 血糖/分析 炎症趋化因子类/分析 预后 

分 类 号：R587.1[医药卫生—内分泌]