BACKGROUND In patients with type 2 diabetes mellitus(T2DM),the risk of hypoglycemia also occurs in at a time-in-range(TIR)of>70%.The hemoglobin glycation index(HGI)is considered the best single factor for predictin...BACKGROUND In patients with type 2 diabetes mellitus(T2DM),the risk of hypoglycemia also occurs in at a time-in-range(TIR)of>70%.The hemoglobin glycation index(HGI)is considered the best single factor for predicting hypoglycemia,and offers new perspectives for the individualized treatment of patients with well-controlled blood glucose levels that are easily ignored in clinical settings.All participants underwent a 7-days continuous glucose monitoring(CGM)using a retrospective CGM system.We obtained glycemic variability indices using the CGM system.We defined HGI as laboratory hemoglobin A1c minus the glucose management indicator.Patients were categorized into low HGI(HGI<0.5)and high HGI groups(HGI≥0.5)according to HGI median(0.5).Logistic regression and receiver operating characteristic curve analyses were used to determine the risk factors for hypoglycemia.RESULTS We included 129 subjects with T2DM(54.84±12.56 years,46%male)in the study.Median TIR score was 90%.The high HGI group exhibited lower TIR and greater time below range with higher hemoglobin A1c than the low HGI group;this suggests more glycemic excursions and an increased incidence of hypoglycemia in the high HGI group.Multivariate analyses revealed that mean blood glucose,standard deviation of blood glucose and HGI were independent risk factors for hypoglycemia.Receiver operating characteristic curve analysis indicated that the HGI was the best predictor of hypoglycemia.In addition,the optimal cut-off points for HGI,mean blood glucose,and standard deviation of blood glucose in predicting hypoglycemia were 0.5%,7.2 mmol/L and 1.4 mmol/L respectively.CONCLUSION High HGI was significantly associated with greater glycemic excursions and increased hypoglycemia in patients with TIR>70%.Our findings indicate that HGI is a reliable predictor of hypoglycemia in this population.展开更多
目的研究糖化血红蛋白变异指数(HGI)、尿微量白蛋白(u-ALB)及血清腱生蛋白C(TNC)与2型糖尿病视网膜病变(T2DR)的相关性。方法回顾性选择2021年4月至2023年5月于首都医科大学大兴教学医院接受治疗的2型糖尿病(T2DM)患者1390例的临床资料...目的研究糖化血红蛋白变异指数(HGI)、尿微量白蛋白(u-ALB)及血清腱生蛋白C(TNC)与2型糖尿病视网膜病变(T2DR)的相关性。方法回顾性选择2021年4月至2023年5月于首都医科大学大兴教学医院接受治疗的2型糖尿病(T2DM)患者1390例的临床资料,根据T2DR发生情况将其分为T2DR组(n=378)和非T2DR组(n=1012)。依据糖尿病视网膜病变早期治疗研究分类系统对T2DR患者进行分期,分为非增殖期T2DR组(n=275)和增殖期T2DR(n=103)。观察两组基线资料(性别、年龄、T2DM病程)、血糖[空腹血糖(FBG)、餐后2 h血糖(2 h PBG)]、血脂[高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、总胆固醇、甘油三酯]、HGI、u-ALB及血清TNC水平;观察不同T2DR病变分期患者基线资料、血糖、血脂、HGI、u-ALB、血清TNC水平。采用Pearson相关分析对T2DM患者HGI、u-ALB、血清TNC与T2DR的相关性进行分析。采用多因素Logistic回归分析对影响T2DR发生的独立危险因素进行分析。结果T2DR组与非T2DR组的性别构成比、年龄比较,差异均无统计学意义(P>0.05);T2DR组T2DM病程、FPG、2 h PBG、HbA1c、HDL-C、LDL-C、总胆固醇、甘油三酯、HGI、u-ALB、TNC水平均大于非T2DR组,差异均有统计学意义(P<0.05)。增殖期T2DR组与非增殖期T2DR组的性别构成比、年龄比较,差异均无统计学意义(P>0.05);增殖期T2DR组的T2DM病程、FPG、2 h PBG、HbA1c、HDL-C、LDL-C、总胆固醇、甘油三酯、HGI、u-ALB、TNC水平均大于非增殖期T2DR组,差异均有统计学意义(P<0.05)。Pearson相关分析结果显示,HGI、u-ALB、TNC与T2DM患者发生T2DR呈正相关(P<0.05)。多因素Logistic回归分析结果显示,HbA1c、HGI、u-ALB及TNC为影响T2DM患者发生T2DR的独立危险因素。结论HGI、u-ALB、TNC的异常升高可促进T2DM患者T2DR的发生及进展,HbA1c、HGI、u-ALB及TNC为影响T2DM患者发生T2DR的独立危险因素。展开更多
BACKGROUND Glycated hemoglobin A1c(HbA1c)is considered the most suitable for diabetes mellitus diagnosis due to its accuracy and convenience.However,the effect of HbA1c on diabetic retinopathy(DR)in the Han and Korean...BACKGROUND Glycated hemoglobin A1c(HbA1c)is considered the most suitable for diabetes mellitus diagnosis due to its accuracy and convenience.However,the effect of HbA1c on diabetic retinopathy(DR)in the Han and Korean populations in Jilin,China,remains inconclusive.AIM To determine the best cut-off of HbA1c for diagnosing DR among the Chinese.METHODS This cross-sectional study included 1933 participants from the Yanbian area of Jilin Province,China.Trained investigators employed a questionnaire-based survey,physical examination,laboratory tests,and fundus photography for the investigation.The best cut-off value for HbA1c was established via the receiver operating characteristic curve.The factors associated with HbA1c-associated risk factors were determined via linear regression.RESULTS The analysis included 887 eligible Chinese Han and Korean participants,591 of whom were assigned randomly to the training set and 296 to the validation set.The prevalence of DR was 3.27% in the total population.HbA1c of 6.2% was the best cut-off value in the training set,while it was 5.9% in the validation set.In both Chinese Han and Korean populations,an HbA1c level of 6.2% was the best cut-off value.The optimal cut-off values of fasting blood glucose(FBG)≥7 mmol/L and<7 mmol/L were 8.1% and 6.2% respectively in Han populations,while those in Korean populations were 6.9%and 5.3%,respectively.Age,body mass index,and FBG were determined as the risk factors impacting HbA1c levels.CONCLUSION HbA1c may serve as a useful diagnostic indicator for DR.An HbA1c level of 6.2% may be an appropriate cut-off value for DR detection in the Chinese population.展开更多
目的探讨糖化血红蛋白变异指数(HGI)在评价老年2型糖尿病合并髋部骨折术后肺部感染的临床价值。方法收集2021年1月-2023年4月在同济大学附属上海市第四人民医院行手术治疗的142例老年2型糖尿病合并髋部骨折患者的临床资料,依据术后是否...目的探讨糖化血红蛋白变异指数(HGI)在评价老年2型糖尿病合并髋部骨折术后肺部感染的临床价值。方法收集2021年1月-2023年4月在同济大学附属上海市第四人民医院行手术治疗的142例老年2型糖尿病合并髋部骨折患者的临床资料,依据术后是否发生肺部感染分为肺部感染组和非肺部感染组,通过电子病历收集2组患者围术期临床资料并进行单因素分析,采用多因素Logistic回归分析术后肺部感染的相关因素。绘制受试者工作特征(Receiver operating characteristic,ROC)曲线分析HGI对术后肺部感染的预测价值。结果与非肺部感染组比较,肺部感染组吸烟史比例高,糖尿病病程和卧床时间长,血清白蛋白水平低,术中出血量多,空腹血糖、糖化血红蛋白(HbA1c)和HGI水平较高,差异有统计学意义(P<0.05)。多因素Logistic回归分析显示,糖尿病病程、卧床时间、空腹血糖、HbA1c和HGI是髋关节术后肺部感染的独立危险因素(P<0.05)。血清白蛋白是保护性因素(P<0.05)。ROC分析显示,HGI预测术后肺部感染的曲线下面积(Area Under the Curv,AUC)为0.912,明显高于空腹血糖、HbA1c的0.654和0.817(Z=4.289,P<0.05),最佳截断值为0.52%,灵敏度和特异度分别为87.21%和85.79%,提示具有良好的诊断效能。以最佳截断值为切入点将患者分为2组,高HGI组中肺部感染发生率(36.11%)显著高于低HGI组(12.86%),差异有统计学意义(P<0.05)。结论高HGI的老年2型糖尿病合并髋部骨折患者术后发生肺部感染的风险越大,其预测术后肺部感染的价值优于空腹血糖和HbA1c等传统血糖指标,临床应当密切监测HGI的变化,以更好的用于术后肺部感染的风险评估。展开更多
Background:The hemoglobin glycation index(HGI)was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin(HbA1c)bias.Here,we aimed to...Background:The hemoglobin glycation index(HGI)was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin(HbA1c)bias.Here,we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events(MACEs)by performing a large multicenter cohort study in China.Methods:A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals:a Longitudinal Study(the REACTION study)were divided into five subgroups(Q1-Q5)with the HGI quantiles(≤5th,>5th and≤33.3th,>33.3th and≤66.7th,>66.7th and≤95th,and>95th percentile).A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk.Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups.Results:The total 5-year MACE rate in the nationwide cohort was 6.87%(673/9791).Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors(x^(2)=29.5,P<0.001).After adjustment for potential confounders,subjects with HGIs≤-0.75 or>0.82 showed odds ratios(ORs)for MACE of 1.471(95%confidence interval[CI],1.027-2.069)and 2.222(95%CI,1.641-3.026)compared to subjects with HGIs of>-0.75 and≤-0.20.In the subgroup with non-coronary heart disease,the risk of MACE was significantly higher in subjects with HGIs≤-0.75(OR,1.540[1.039-2.234];P=0.027)and>0.82(OR,2.022[1.392-2.890];P<0.001)compared to those with HGIs of≤-0.75 or>0.82 after adjustment for potential confounders.Conclusions:We found a U-shaped correlation between the HGI values and the risk of 5-year MACE.Both low and high HGIs were associated with an increased risk of MACE.Therefore,the HGI may predict the 5-year MACE risk.展开更多
基金Supported by Investigator-initiated Trial Research Funds from Eli Lilly and Co.and Amylin Pharmaceuticals,Inc.,No.A1570Natural Science Foundation of Guangdong Province,No.2018A030313915。
文摘BACKGROUND In patients with type 2 diabetes mellitus(T2DM),the risk of hypoglycemia also occurs in at a time-in-range(TIR)of>70%.The hemoglobin glycation index(HGI)is considered the best single factor for predicting hypoglycemia,and offers new perspectives for the individualized treatment of patients with well-controlled blood glucose levels that are easily ignored in clinical settings.All participants underwent a 7-days continuous glucose monitoring(CGM)using a retrospective CGM system.We obtained glycemic variability indices using the CGM system.We defined HGI as laboratory hemoglobin A1c minus the glucose management indicator.Patients were categorized into low HGI(HGI<0.5)and high HGI groups(HGI≥0.5)according to HGI median(0.5).Logistic regression and receiver operating characteristic curve analyses were used to determine the risk factors for hypoglycemia.RESULTS We included 129 subjects with T2DM(54.84±12.56 years,46%male)in the study.Median TIR score was 90%.The high HGI group exhibited lower TIR and greater time below range with higher hemoglobin A1c than the low HGI group;this suggests more glycemic excursions and an increased incidence of hypoglycemia in the high HGI group.Multivariate analyses revealed that mean blood glucose,standard deviation of blood glucose and HGI were independent risk factors for hypoglycemia.Receiver operating characteristic curve analysis indicated that the HGI was the best predictor of hypoglycemia.In addition,the optimal cut-off points for HGI,mean blood glucose,and standard deviation of blood glucose in predicting hypoglycemia were 0.5%,7.2 mmol/L and 1.4 mmol/L respectively.CONCLUSION High HGI was significantly associated with greater glycemic excursions and increased hypoglycemia in patients with TIR>70%.Our findings indicate that HGI is a reliable predictor of hypoglycemia in this population.
文摘目的研究糖化血红蛋白变异指数(HGI)、尿微量白蛋白(u-ALB)及血清腱生蛋白C(TNC)与2型糖尿病视网膜病变(T2DR)的相关性。方法回顾性选择2021年4月至2023年5月于首都医科大学大兴教学医院接受治疗的2型糖尿病(T2DM)患者1390例的临床资料,根据T2DR发生情况将其分为T2DR组(n=378)和非T2DR组(n=1012)。依据糖尿病视网膜病变早期治疗研究分类系统对T2DR患者进行分期,分为非增殖期T2DR组(n=275)和增殖期T2DR(n=103)。观察两组基线资料(性别、年龄、T2DM病程)、血糖[空腹血糖(FBG)、餐后2 h血糖(2 h PBG)]、血脂[高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、总胆固醇、甘油三酯]、HGI、u-ALB及血清TNC水平;观察不同T2DR病变分期患者基线资料、血糖、血脂、HGI、u-ALB、血清TNC水平。采用Pearson相关分析对T2DM患者HGI、u-ALB、血清TNC与T2DR的相关性进行分析。采用多因素Logistic回归分析对影响T2DR发生的独立危险因素进行分析。结果T2DR组与非T2DR组的性别构成比、年龄比较,差异均无统计学意义(P>0.05);T2DR组T2DM病程、FPG、2 h PBG、HbA1c、HDL-C、LDL-C、总胆固醇、甘油三酯、HGI、u-ALB、TNC水平均大于非T2DR组,差异均有统计学意义(P<0.05)。增殖期T2DR组与非增殖期T2DR组的性别构成比、年龄比较,差异均无统计学意义(P>0.05);增殖期T2DR组的T2DM病程、FPG、2 h PBG、HbA1c、HDL-C、LDL-C、总胆固醇、甘油三酯、HGI、u-ALB、TNC水平均大于非增殖期T2DR组,差异均有统计学意义(P<0.05)。Pearson相关分析结果显示,HGI、u-ALB、TNC与T2DM患者发生T2DR呈正相关(P<0.05)。多因素Logistic回归分析结果显示,HbA1c、HGI、u-ALB及TNC为影响T2DM患者发生T2DR的独立危险因素。结论HGI、u-ALB、TNC的异常升高可促进T2DM患者T2DR的发生及进展,HbA1c、HGI、u-ALB及TNC为影响T2DM患者发生T2DR的独立危险因素。
基金Supported by National Key R&D Program of China,No.2016YFC1305700.
文摘BACKGROUND Glycated hemoglobin A1c(HbA1c)is considered the most suitable for diabetes mellitus diagnosis due to its accuracy and convenience.However,the effect of HbA1c on diabetic retinopathy(DR)in the Han and Korean populations in Jilin,China,remains inconclusive.AIM To determine the best cut-off of HbA1c for diagnosing DR among the Chinese.METHODS This cross-sectional study included 1933 participants from the Yanbian area of Jilin Province,China.Trained investigators employed a questionnaire-based survey,physical examination,laboratory tests,and fundus photography for the investigation.The best cut-off value for HbA1c was established via the receiver operating characteristic curve.The factors associated with HbA1c-associated risk factors were determined via linear regression.RESULTS The analysis included 887 eligible Chinese Han and Korean participants,591 of whom were assigned randomly to the training set and 296 to the validation set.The prevalence of DR was 3.27% in the total population.HbA1c of 6.2% was the best cut-off value in the training set,while it was 5.9% in the validation set.In both Chinese Han and Korean populations,an HbA1c level of 6.2% was the best cut-off value.The optimal cut-off values of fasting blood glucose(FBG)≥7 mmol/L and<7 mmol/L were 8.1% and 6.2% respectively in Han populations,while those in Korean populations were 6.9%and 5.3%,respectively.Age,body mass index,and FBG were determined as the risk factors impacting HbA1c levels.CONCLUSION HbA1c may serve as a useful diagnostic indicator for DR.An HbA1c level of 6.2% may be an appropriate cut-off value for DR detection in the Chinese population.
文摘目的探讨糖化血红蛋白变异指数(HGI)在评价老年2型糖尿病合并髋部骨折术后肺部感染的临床价值。方法收集2021年1月-2023年4月在同济大学附属上海市第四人民医院行手术治疗的142例老年2型糖尿病合并髋部骨折患者的临床资料,依据术后是否发生肺部感染分为肺部感染组和非肺部感染组,通过电子病历收集2组患者围术期临床资料并进行单因素分析,采用多因素Logistic回归分析术后肺部感染的相关因素。绘制受试者工作特征(Receiver operating characteristic,ROC)曲线分析HGI对术后肺部感染的预测价值。结果与非肺部感染组比较,肺部感染组吸烟史比例高,糖尿病病程和卧床时间长,血清白蛋白水平低,术中出血量多,空腹血糖、糖化血红蛋白(HbA1c)和HGI水平较高,差异有统计学意义(P<0.05)。多因素Logistic回归分析显示,糖尿病病程、卧床时间、空腹血糖、HbA1c和HGI是髋关节术后肺部感染的独立危险因素(P<0.05)。血清白蛋白是保护性因素(P<0.05)。ROC分析显示,HGI预测术后肺部感染的曲线下面积(Area Under the Curv,AUC)为0.912,明显高于空腹血糖、HbA1c的0.654和0.817(Z=4.289,P<0.05),最佳截断值为0.52%,灵敏度和特异度分别为87.21%和85.79%,提示具有良好的诊断效能。以最佳截断值为切入点将患者分为2组,高HGI组中肺部感染发生率(36.11%)显著高于低HGI组(12.86%),差异有统计学意义(P<0.05)。结论高HGI的老年2型糖尿病合并髋部骨折患者术后发生肺部感染的风险越大,其预测术后肺部感染的价值优于空腹血糖和HbA1c等传统血糖指标,临床应当密切监测HGI的变化,以更好的用于术后肺部感染的风险评估。
文摘Background:The hemoglobin glycation index(HGI)was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin(HbA1c)bias.Here,we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events(MACEs)by performing a large multicenter cohort study in China.Methods:A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals:a Longitudinal Study(the REACTION study)were divided into five subgroups(Q1-Q5)with the HGI quantiles(≤5th,>5th and≤33.3th,>33.3th and≤66.7th,>66.7th and≤95th,and>95th percentile).A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk.Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups.Results:The total 5-year MACE rate in the nationwide cohort was 6.87%(673/9791).Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors(x^(2)=29.5,P<0.001).After adjustment for potential confounders,subjects with HGIs≤-0.75 or>0.82 showed odds ratios(ORs)for MACE of 1.471(95%confidence interval[CI],1.027-2.069)and 2.222(95%CI,1.641-3.026)compared to subjects with HGIs of>-0.75 and≤-0.20.In the subgroup with non-coronary heart disease,the risk of MACE was significantly higher in subjects with HGIs≤-0.75(OR,1.540[1.039-2.234];P=0.027)and>0.82(OR,2.022[1.392-2.890];P<0.001)compared to those with HGIs of≤-0.75 or>0.82 after adjustment for potential confounders.Conclusions:We found a U-shaped correlation between the HGI values and the risk of 5-year MACE.Both low and high HGIs were associated with an increased risk of MACE.Therefore,the HGI may predict the 5-year MACE risk.
