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
Objective:To explore and analyze the expression and clinical significance of vascular endothelial growth factor(VEGF),hypoxia-inducible factor 1α(HIF-1α),and metabolic indicators in esophageal squamous cell carcinom...Objective:To explore and analyze the expression and clinical significance of vascular endothelial growth factor(VEGF),hypoxia-inducible factor 1α(HIF-1α),and metabolic indicators in esophageal squamous cell carcinoma(ESCC).Methods:Sixty ESCC patients admitted to the hospital from October 2021 to October 2023 were selected as the ESCC group.Sixty normal healthy patients from the same period were chosen as the control group.Their serum samples and tissue samples were collected.Metabolic indicators of all study subjects were obtained based on the basic biochemical results upon admission.RT-PCR was utilized to detect the expression of VEGF and HIF-1αin ESCC tissues.Results:The expression of VEGF and HIF-1αin the ESCC T3+T4 group was significantly higher than that of the carcinoma in situ(Tis)group,T1+T2 group,and control group.Furthermore,the expression of HIF-1αwas found to be related to the expression of VEGF,showing a significant correlation between the quantities.Significant differences in the levels of metabolic indicators were observed between the ESCC group and the control group(P<0.05).Conclusion:Metabolic indicators are associated with the onset of ESCC in patients.Abnormal lipid metabolism plays a crucial role in the occurrence and development of tumors.The expression of VEGF and HIF-1αin ESCC tissues significantly correlates with the tumor stage,providing a new reference for the diagnosis and treatment of ESCC.展开更多
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
目的研究1型糖尿病患儿血清分泌型卷曲相关蛋白5(Secreted frizzled-related protein 5,SFRP5)的水平与糖脂代谢指标及和微血管并发症的关系。方法以2022年1月-2023年12月于山西省儿童医院就诊的96例1型糖尿病患儿为糖尿病组,选择同时...目的研究1型糖尿病患儿血清分泌型卷曲相关蛋白5(Secreted frizzled-related protein 5,SFRP5)的水平与糖脂代谢指标及和微血管并发症的关系。方法以2022年1月-2023年12月于山西省儿童医院就诊的96例1型糖尿病患儿为糖尿病组,选择同时期在本院接受健康体检的100名正常儿童作为健康组。分别测定两组血清SFRP5水平、空腹血糖(Fasting blood glucose,FBG)、总胆固醇(Total cholesterol,TC)、高密度脂蛋白胆固醇(High density lipoprotein cholesterol,HDL-C)、低密度脂蛋白胆固醇(Low density lipoprotein cholesterin,LDL-C)、三酰甘油(Triacylglycerol,TG)水平以及糖化血红蛋白(Glycosylated hemoglobin,HbA1c),对糖尿病组患儿是否患有微血管并发症进行评估。采用Pearson相关性分析评估血清SFRP5水平与糖脂代谢指标间的相关性。采用受试者工作特征(Receiver operating characteristic,ROC)曲线评估血清SFRP5水平对1型糖尿病合并微血管并发症的诊断效能。结果与健康组比较,糖尿病组FBG、HbA1c、LDL-C和TG水平升高,HDL-C水平降低,差异有统计学意义(P<0.05)。糖尿病组血清SFRP5水平为(352.53±53.69)pg/mL,低于健康组[(424.49±63.54)pg/mL],差异有统计学意义(t=5.453,P<0.05)。糖尿病组血清SFRP5水平与FBG、HbA1c和TG水平呈负相关关系(P<0.05)。1型糖尿病合并微血管并发症儿童的HbA1c和LDL-C水平高于未合并微血管并发症儿童,差异有统计学意义(P<0.05)。与未合并微血管并发症患儿血清SFRP5水平[(363.43±57.24)pg/mL]比较,1型糖尿病合并微血管并发症患儿血清SFRP5水平(315.87±42.35)pg/mL降低,差异有统计学意义(t=4.042,P<0.001)。血清SFRP5水平对1型糖尿病合并微血管并发症诊断效能的曲线下面积为0.838(0.755~0.921),灵敏度为86.4%,特异度为73.0%。结论1型糖尿病患儿血清SFRP5水平低于健康儿童,血清SFRP5水平与血清FBG、HbA1c和TG含量呈负相关,合并微血管并发症的糖尿病患儿血清SFRP5水平低于未合并者。展开更多
叶面积指数(leaf area index,LAI)是单位地表面积上总叶面积的一半,是影响光合作用、蒸腾作用和能量平衡等地表过程的关键生物物理变量。鉴于光学遥感数据易受天气的影响,雷达遥感数据易受土壤等的影响,二者在叶面积指数反演方面各有利...叶面积指数(leaf area index,LAI)是单位地表面积上总叶面积的一半,是影响光合作用、蒸腾作用和能量平衡等地表过程的关键生物物理变量。鉴于光学遥感数据易受天气的影响,雷达遥感数据易受土壤等的影响,二者在叶面积指数反演方面各有利弊,提出了一种考虑不同数据反演结果不确定性的融合方法。研究测试了多种机器学习模型在中国张掖地区的玉米农田上估算LAI的性能。结果表明,光学和雷达两种数据分别作为模型输入进行LAI反演时,高斯过程回归(Gaussian process regression,GPR)的表现均为最优。随后,基于Sentinel-1雷达数据和Sentinel-2光学数据,使用GPR模型生成了研究区2019年的两种LAI及不确定性时空分布图。考虑不同数据反演结果的差异,使用加权滤波方法将两种LAI融合,实现了高时空分辨率玉米LAI制图。通过定性和定量分析,融合后的LAI时间序列分布图变化连贯,空间分布均匀,精度相较于融合之前有了明显改善。展开更多
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Objective:To explore and analyze the expression and clinical significance of vascular endothelial growth factor(VEGF),hypoxia-inducible factor 1α(HIF-1α),and metabolic indicators in esophageal squamous cell carcinoma(ESCC).Methods:Sixty ESCC patients admitted to the hospital from October 2021 to October 2023 were selected as the ESCC group.Sixty normal healthy patients from the same period were chosen as the control group.Their serum samples and tissue samples were collected.Metabolic indicators of all study subjects were obtained based on the basic biochemical results upon admission.RT-PCR was utilized to detect the expression of VEGF and HIF-1αin ESCC tissues.Results:The expression of VEGF and HIF-1αin the ESCC T3+T4 group was significantly higher than that of the carcinoma in situ(Tis)group,T1+T2 group,and control group.Furthermore,the expression of HIF-1αwas found to be related to the expression of VEGF,showing a significant correlation between the quantities.Significant differences in the levels of metabolic indicators were observed between the ESCC group and the control group(P<0.05).Conclusion:Metabolic indicators are associated with the onset of ESCC in patients.Abnormal lipid metabolism plays a crucial role in the occurrence and development of tumors.The expression of VEGF and HIF-1αin ESCC tissues significantly correlates with the tumor stage,providing a new reference for the diagnosis and treatment of ESCC.
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。
文摘叶面积指数(leaf area index,LAI)是单位地表面积上总叶面积的一半,是影响光合作用、蒸腾作用和能量平衡等地表过程的关键生物物理变量。鉴于光学遥感数据易受天气的影响,雷达遥感数据易受土壤等的影响,二者在叶面积指数反演方面各有利弊,提出了一种考虑不同数据反演结果不确定性的融合方法。研究测试了多种机器学习模型在中国张掖地区的玉米农田上估算LAI的性能。结果表明,光学和雷达两种数据分别作为模型输入进行LAI反演时,高斯过程回归(Gaussian process regression,GPR)的表现均为最优。随后,基于Sentinel-1雷达数据和Sentinel-2光学数据,使用GPR模型生成了研究区2019年的两种LAI及不确定性时空分布图。考虑不同数据反演结果的差异,使用加权滤波方法将两种LAI融合,实现了高时空分辨率玉米LAI制图。通过定性和定量分析,融合后的LAI时间序列分布图变化连贯,空间分布均匀,精度相较于融合之前有了明显改善。
文摘目的探究凝血指标联合血清单核细胞趋化蛋白-1(monocyte chemotactic protein-1,MCP-1)对慢性肾脏病患者急性肾损伤的预测价值。方法选择2021年1月─2023年6月于联勤保障部队第九〇八医院收治的慢性肾脏病患者155例为研究对象,比较急性肾损伤组(40例)及急性肾损伤未发生组(115例)患者的临床基本资料、凝血指标、MCP-1水平。探究影响慢性肾脏病患者急性肾损伤发生的主要风险因素及凝血指标、MCP-1预测慢性肾脏病患者急性肾损伤的临床价值。结果急性肾损伤组患者的凝血酶时间(TT)、活化部分凝血酶时间(APTT)、凝血酶原时间(PT)、MCP-1水平较未发生组升高(t=20.506、20.551、21.120、16.230;均P<0.001);急性肾损伤组患者纤维蛋白原(FIB)水平较未发生组降低(t=8.441;P<0.001)。慢性肾脏病患者急性肾损伤与年龄、性别、体质量指数(body mass index,BMI)、糖尿病无关(t=0.521、0.760、0.648、2.399;P=0.477、0.383、0.341、0.121),与舒张压、收缩压、血尿酸、空腹血糖、总胆固醇(TC)、血肌酐(Scr)、三酰甘油(TAG)、高脂血症、高血压有关(t=15.681、12.942、11.694、6.914、12.836、8.392、9.724、14.856、11.372;均P<0.001)。以慢性肾脏病患者发生急性肾损伤为因变量,临床资料中P<0.05的变量为自变量行多因素Logistic回归分析,结果显示收缩压、舒张压、空腹血糖、血尿酸、TC、TAG、Scr、高血压、高脂血症、PT、TT、FIB、APTT、MCP-1为慢性肾脏病患者急性肾损伤发生的主要危险因素(OR值分别为:3490、3.357、3.050、2.980、3.264、2.861、3.287、2.939、3.466、9.196、3.350、3.281、2.974、3.404;95%CI分别为:2.210~4.770、1.947~4.767、1.862~4.238、1.838~4.122、2.104~4.424、1.751~3.971、2.065~4.510、1.813~4.065、2.416~4.516、1.982~4.410、2.082~4.618、2.103~4.459、1.780~4.168、2.092~4.716;P值分别为:0.002、0.004、0.005、0.002、<0.001、<0.001、<0.001、0.007、0.002、<0.001、<0.001、<0.001、<0.001、<0.001)。结论TT、APTT、PT、FIB、MCP-1水平与患者急性肾损伤发生有关,对慢性肾脏病患者急性肾损伤有较好的预测价值。
