目的:探究血清甘油三酯-葡萄糖(TyG)指数、摄食抑制因子-1(nesfatin-1)、视黄醇结合蛋白4(RBP4)联合预测糖尿病视网膜病变(DR)的价值,为DR早期预测提供支持。方法:回顾性分析。收集2022-02/2023-12我院接诊的2型糖尿病(T2DM)患者164例...目的:探究血清甘油三酯-葡萄糖(TyG)指数、摄食抑制因子-1(nesfatin-1)、视黄醇结合蛋白4(RBP4)联合预测糖尿病视网膜病变(DR)的价值,为DR早期预测提供支持。方法:回顾性分析。收集2022-02/2023-12我院接诊的2型糖尿病(T2DM)患者164例的临床资料,按照眼底检查结果分为DR组43例(其中增殖性DR 19例,非增殖性DR 24例),不合并DR的T2DM组121例。入院后记录患者基本资料,检查血清TyG指数、nesfatin-1、RBP4水平。结果:DR组病程长于T2DM组,空腹血糖、糖化血红蛋白、甘油三酯、总胆固醇、低密度脂蛋白及TyG指数、RBP4水平高于T2DM组,高密度脂蛋白、nesfatin-1水平低于T2DM组(均P<0.001)。多因素Logistic回归分析可知,T2DM病程(OR=1.338,95%CI:1.059-1.690)、糖化血红蛋白(OR=5.065,95%CI:1.659-15.470)、低密度脂蛋白(OR=12.715,95%CI:2.385-67.790)、TyG指数(OR=23.057,95%CI:2.936-181.073)、RBP4(OR=1.319,95%CI:1.028-1.692)是T2DM患者发生DR的危险因素,nesfatin-1(OR=0.007,95%CI:0.003-0.016)为保护因素。绘制ROC曲线显示,TyG指数、nesfatin-1、RBP4均对T2DM患者并发DR具有一定预测价值,曲线下面积(areas under curve,AUC)分别为0.804、0.878、0.738,各指标联合预测时AUC为0.946,预测敏感度为83.72%、特异度为92.56%。增殖性DR患者TyG指数、RBP4水平高于非增殖性DR患者,nesfatin-1水平低于非增殖性DR患者(均P<0.05)。Spearman相关性分析显示,TyG指数、RBP4水平与DR病情程度呈正相关,nesfatin-1水平与DR病情程度呈负相关(r_(s)=0.557、0.392、-0.359,均P<0.05)。Pearson相关分析显示,T2DM并发DR患者TyG指数与nesfatin-1水平呈负相关,与RBP4水平呈正相关,nesfatin-1与RBP4水平呈负相关(r=-0.486、0.538、-0.592,均P<0.05)。结论:血清TyG指数、nesfatin-1、RBP4水平与DR发病风险及病情程度有关,可作为DR早期预测的标志物,且联合预测效能更好。展开更多
目的探讨妊娠期糖尿病(gestational diabetes mellitus,GDM)患者妊娠早期甘油三酯葡萄糖指数(the triglyceride-gluscose index,TyG指数)与分娩小于胎龄儿(small for gestational age infant,SGA)之间的关系。方法选取2018年1月至2023年...目的探讨妊娠期糖尿病(gestational diabetes mellitus,GDM)患者妊娠早期甘油三酯葡萄糖指数(the triglyceride-gluscose index,TyG指数)与分娩小于胎龄儿(small for gestational age infant,SGA)之间的关系。方法选取2018年1月至2023年6月复旦大学附属上海市第五人民医院和新疆喀什地区第二人民医院产科孕早期建档并符合纳入标准的孕妇1532例为研究对象,根据孕妇24~28周行口服葡萄糖耐量试验(oral glucose tolerance test,OGTT)结果,将其分为GDM组(754例)及非GDM组(778例)。GDM组患者根据新生儿体重,将其分为SGA组、大于胎龄儿(large for gestational age infant,LGA)组和适于胎龄儿(appropriate for gestational age infant,AGA)组。分析GDM患者分娩SGA的独立影响因素,采用Logistic回归模型分析TyG指数与发生SGA的相关性。绘制ROC曲线以分析妊娠早期TyG指数对GDM患者分娩SGA的预测价值。结果GDM患者SGA组TyG指数显著低于LGA组、AGA组及非GDM组(P<0.05);多因素Logistic回归分析结果显示,TyG指数与GDM患者分娩SGA的发生独立相关(P<0.05);ROC曲线结果显示,妊娠早期TyG指数对GDM患者分娩SGA具有较好的预测价值(AUC=0.821,95%CI:0.763~0.879,P<0.001)。结论GDM患者妊娠早期TyG指数与分娩SGA之间存在独立相关,对于GDM患者分娩SGA具有较好的预测价值。展开更多
Objective: The objective of this study was to investigate the relationship between the triglyceride-glucose (TyG) index, triglyceride-glucose-BMI (TyG-BMI) index, laboratory indices, and disease severity in patients w...Objective: The objective of this study was to investigate the relationship between the triglyceride-glucose (TyG) index, triglyceride-glucose-BMI (TyG-BMI) index, laboratory indices, and disease severity in patients with COVID-19. Methods: A retrospective analysis of COVID-19 patients treated at a tertiary hospital in Mianyang City, Sichuan Province, China, from 1 May to 31 May 2023 was performed. The patients were divided into two groups: 66 cases in the moderate group and 61 cases in the severe group. Additionally, 69 uninfected individuals from the medical examination center during the same period were selected as the control group. Spearman rank correlation was used to determine the correlation between the indices and COVID-19 severity. Multiple logistic regression analysis was performed to identify the factors affecting COVID-19 severity. ROC curves were constructed to assess the predictive value of the TyG and TyG-BMI indices for severe COVID-19. Results: There were significant differences in smoking and diabetes between the three groups (P Conclusion: Smoking, AST, ALB, TyG index, and TyG-BMI index are valuable in assessing the severity of COVID-19, with the TyG-BMI index having a higher predictive value than the TyG index.展开更多
文摘目的:探究血清甘油三酯-葡萄糖(TyG)指数、摄食抑制因子-1(nesfatin-1)、视黄醇结合蛋白4(RBP4)联合预测糖尿病视网膜病变(DR)的价值,为DR早期预测提供支持。方法:回顾性分析。收集2022-02/2023-12我院接诊的2型糖尿病(T2DM)患者164例的临床资料,按照眼底检查结果分为DR组43例(其中增殖性DR 19例,非增殖性DR 24例),不合并DR的T2DM组121例。入院后记录患者基本资料,检查血清TyG指数、nesfatin-1、RBP4水平。结果:DR组病程长于T2DM组,空腹血糖、糖化血红蛋白、甘油三酯、总胆固醇、低密度脂蛋白及TyG指数、RBP4水平高于T2DM组,高密度脂蛋白、nesfatin-1水平低于T2DM组(均P<0.001)。多因素Logistic回归分析可知,T2DM病程(OR=1.338,95%CI:1.059-1.690)、糖化血红蛋白(OR=5.065,95%CI:1.659-15.470)、低密度脂蛋白(OR=12.715,95%CI:2.385-67.790)、TyG指数(OR=23.057,95%CI:2.936-181.073)、RBP4(OR=1.319,95%CI:1.028-1.692)是T2DM患者发生DR的危险因素,nesfatin-1(OR=0.007,95%CI:0.003-0.016)为保护因素。绘制ROC曲线显示,TyG指数、nesfatin-1、RBP4均对T2DM患者并发DR具有一定预测价值,曲线下面积(areas under curve,AUC)分别为0.804、0.878、0.738,各指标联合预测时AUC为0.946,预测敏感度为83.72%、特异度为92.56%。增殖性DR患者TyG指数、RBP4水平高于非增殖性DR患者,nesfatin-1水平低于非增殖性DR患者(均P<0.05)。Spearman相关性分析显示,TyG指数、RBP4水平与DR病情程度呈正相关,nesfatin-1水平与DR病情程度呈负相关(r_(s)=0.557、0.392、-0.359,均P<0.05)。Pearson相关分析显示,T2DM并发DR患者TyG指数与nesfatin-1水平呈负相关,与RBP4水平呈正相关,nesfatin-1与RBP4水平呈负相关(r=-0.486、0.538、-0.592,均P<0.05)。结论:血清TyG指数、nesfatin-1、RBP4水平与DR发病风险及病情程度有关,可作为DR早期预测的标志物,且联合预测效能更好。
文摘目的探讨妊娠期糖尿病(gestational diabetes mellitus,GDM)患者妊娠早期甘油三酯葡萄糖指数(the triglyceride-gluscose index,TyG指数)与分娩小于胎龄儿(small for gestational age infant,SGA)之间的关系。方法选取2018年1月至2023年6月复旦大学附属上海市第五人民医院和新疆喀什地区第二人民医院产科孕早期建档并符合纳入标准的孕妇1532例为研究对象,根据孕妇24~28周行口服葡萄糖耐量试验(oral glucose tolerance test,OGTT)结果,将其分为GDM组(754例)及非GDM组(778例)。GDM组患者根据新生儿体重,将其分为SGA组、大于胎龄儿(large for gestational age infant,LGA)组和适于胎龄儿(appropriate for gestational age infant,AGA)组。分析GDM患者分娩SGA的独立影响因素,采用Logistic回归模型分析TyG指数与发生SGA的相关性。绘制ROC曲线以分析妊娠早期TyG指数对GDM患者分娩SGA的预测价值。结果GDM患者SGA组TyG指数显著低于LGA组、AGA组及非GDM组(P<0.05);多因素Logistic回归分析结果显示,TyG指数与GDM患者分娩SGA的发生独立相关(P<0.05);ROC曲线结果显示,妊娠早期TyG指数对GDM患者分娩SGA具有较好的预测价值(AUC=0.821,95%CI:0.763~0.879,P<0.001)。结论GDM患者妊娠早期TyG指数与分娩SGA之间存在独立相关,对于GDM患者分娩SGA具有较好的预测价值。
文摘Objective: The objective of this study was to investigate the relationship between the triglyceride-glucose (TyG) index, triglyceride-glucose-BMI (TyG-BMI) index, laboratory indices, and disease severity in patients with COVID-19. Methods: A retrospective analysis of COVID-19 patients treated at a tertiary hospital in Mianyang City, Sichuan Province, China, from 1 May to 31 May 2023 was performed. The patients were divided into two groups: 66 cases in the moderate group and 61 cases in the severe group. Additionally, 69 uninfected individuals from the medical examination center during the same period were selected as the control group. Spearman rank correlation was used to determine the correlation between the indices and COVID-19 severity. Multiple logistic regression analysis was performed to identify the factors affecting COVID-19 severity. ROC curves were constructed to assess the predictive value of the TyG and TyG-BMI indices for severe COVID-19. Results: There were significant differences in smoking and diabetes between the three groups (P Conclusion: Smoking, AST, ALB, TyG index, and TyG-BMI index are valuable in assessing the severity of COVID-19, with the TyG-BMI index having a higher predictive value than the TyG index.