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
The transverse relaxation time (T_(2)) cut-off value plays a crucial role in nuclear magnetic resonance for identifying movable and immovable boundaries, evaluating permeability, and determining fluid saturation in pe...The transverse relaxation time (T_(2)) cut-off value plays a crucial role in nuclear magnetic resonance for identifying movable and immovable boundaries, evaluating permeability, and determining fluid saturation in petrophysical characterization of petroleum reservoirs. This study focuses on the systematic analysis of T_(2) spectra and T_(2) cut-off values in low-permeability reservoir rocks. Analysis of 36 low-permeability cores revealed a wide distribution of T_(2) cut-off values, ranging from 7 to 50 ms. Additionally, the T_(2) spectra exhibited multimodal characteristics, predominantly displaying unimodal and bimodal morphologies, with a few trimodal morphologies, which are inherently influenced by different pore types. Fractal characteristics of pore structure in fully water-saturated cores were captured through the T_(2) spectra, which were calculated using generalized fractal and multifractal theories. To augment the limited dataset of 36 cores, the synthetic minority oversampling technique was employed. Models for evaluating the T_(2) cut-off value were separately developed based on the classified T_(2) spectra, considering the number of peaks, and utilizing generalized fractal dimensions at the weight <0 and the singular intensity range. The underlying mechanism is that the singular intensity and generalized fractal dimensions at the weight <0 can detect the T_(2) spectral shift. However, the T_(2) spectral shift has negligible effects on multifractal spectrum function difference and generalized fractal dimensions at the weight >0. The primary objective of this work is to gain insights into the relationship between the kurtosis of the T_(2) spectrum and pore types, as well as to predict the T_(2) cut-off value of low-permeability rocks using machine learning and data augmentation techniques.展开更多
目的分析糖化血红蛋白(HbA1c)、空腹血糖(FPG)、餐后2 h血糖(2 h PG)单一及联合检验诊断糖尿病的价值。方法以72例疑似有糖尿病的患者作为临床研究对象,均接受HbA1c、FPG、2 h PG检验,以糖耐量测定为诊断“金标准”。比较HbA1c、FPG、2 ...目的分析糖化血红蛋白(HbA1c)、空腹血糖(FPG)、餐后2 h血糖(2 h PG)单一及联合检验诊断糖尿病的价值。方法以72例疑似有糖尿病的患者作为临床研究对象,均接受HbA1c、FPG、2 h PG检验,以糖耐量测定为诊断“金标准”。比较HbA1c、FPG、2 h PG单一及联合检验的灵敏度、特异度、准确度。结果72例受检者中有58例患者确诊为糖尿病。联合检验的诊断灵敏度、特异度、准确度分别为94.83%、92.86%、94.44%;HbA1c检验的诊断灵敏度、特异度、准确度分别为75.86%、28.57%、66.67%;FPG检验的诊断灵敏度、特异度、准确度分别为81.03%、35.71%、72.22%;2 h PG检验的诊断灵敏度、特异度、准确度分别为77.59%、42.86%、70.83%。联合检验诊断的灵敏度、特异度及准确度均高于其他HbA1c、FPG、2 h PG单一诊断的灵敏度、特异度及准确度,具有统计学意义(P<0.05)。结论HbA1c、FPG、2 h PG联合检验相较单一检验诊断糖尿病具有较高的临床价值,能够为临床治疗提供有价值的参考依据。展开更多
AIM To investigate the clinical significance of routinely used glycemic parameters in a cohort of colorectal cancer(CRC) patients.METHODS Pre-treatment fasting blood glucose, insulin, Hb A1 c and homeostasis model of ...AIM To investigate the clinical significance of routinely used glycemic parameters in a cohort of colorectal cancer(CRC) patients.METHODS Pre-treatment fasting blood glucose, insulin, Hb A1 c and homeostasis model of risk assessment(HOMA-IR) were retrospectively evaluated in a case-control study of 224 CRC and 112 control subjects matched for sex, obesity and diabetes frequency and blood lipid profile.Furthermore, the prognostic value of routinely used glycemic parameters towards progression-free(PFS) and overall survival(OS) was prospectively evaluated.RESULTS Fasting blood glucose, insulin, HOMA-IR and HbA 1c(all P < 0.0001) levels were higher in non-diabetic CRC patients compared with obesity-matched controls. All parameters were associated with increased CRC risk at ROC analysis, but no relationship with clinical-pathological variables or survival outcomes was observed for glycemia, insulinemia or HOMA-IR. Conversely, advanced CRC stage(P = 0.018) was an independent predictor of increased Hb A1 c levels, which were also higher in patients who had disease progression compared with those who did not(P = 0.05). Elevated Hb A1 c levels showed a negative prognostic value both in terms of PFS(HR = 1.24) and OS(HR = 1.36) after adjustment for major confounders, which was further confirmed in a subgroup analysis performed after exclusion of diabetic patients.CONCLUSION HbA 1c might have a negative prognostic value in CRC, thus suggesting that glycemic metabolic markers should be carefully monitored in these patients, independently of overt diabetes.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.
基金supported by National Natural Science Foundation of China(Nos.42002171,42172159)China Postdoctoral Science Foundation(Nos.2020TQ0299,2020M682520)Postdoctoral Innovation Science Foundation of Hubei Province of China.
文摘The transverse relaxation time (T_(2)) cut-off value plays a crucial role in nuclear magnetic resonance for identifying movable and immovable boundaries, evaluating permeability, and determining fluid saturation in petrophysical characterization of petroleum reservoirs. This study focuses on the systematic analysis of T_(2) spectra and T_(2) cut-off values in low-permeability reservoir rocks. Analysis of 36 low-permeability cores revealed a wide distribution of T_(2) cut-off values, ranging from 7 to 50 ms. Additionally, the T_(2) spectra exhibited multimodal characteristics, predominantly displaying unimodal and bimodal morphologies, with a few trimodal morphologies, which are inherently influenced by different pore types. Fractal characteristics of pore structure in fully water-saturated cores were captured through the T_(2) spectra, which were calculated using generalized fractal and multifractal theories. To augment the limited dataset of 36 cores, the synthetic minority oversampling technique was employed. Models for evaluating the T_(2) cut-off value were separately developed based on the classified T_(2) spectra, considering the number of peaks, and utilizing generalized fractal dimensions at the weight <0 and the singular intensity range. The underlying mechanism is that the singular intensity and generalized fractal dimensions at the weight <0 can detect the T_(2) spectral shift. However, the T_(2) spectral shift has negligible effects on multifractal spectrum function difference and generalized fractal dimensions at the weight >0. The primary objective of this work is to gain insights into the relationship between the kurtosis of the T_(2) spectrum and pore types, as well as to predict the T_(2) cut-off value of low-permeability rocks using machine learning and data augmentation techniques.
文摘目的分析糖化血红蛋白(HbA1c)、空腹血糖(FPG)、餐后2 h血糖(2 h PG)单一及联合检验诊断糖尿病的价值。方法以72例疑似有糖尿病的患者作为临床研究对象,均接受HbA1c、FPG、2 h PG检验,以糖耐量测定为诊断“金标准”。比较HbA1c、FPG、2 h PG单一及联合检验的灵敏度、特异度、准确度。结果72例受检者中有58例患者确诊为糖尿病。联合检验的诊断灵敏度、特异度、准确度分别为94.83%、92.86%、94.44%;HbA1c检验的诊断灵敏度、特异度、准确度分别为75.86%、28.57%、66.67%;FPG检验的诊断灵敏度、特异度、准确度分别为81.03%、35.71%、72.22%;2 h PG检验的诊断灵敏度、特异度、准确度分别为77.59%、42.86%、70.83%。联合检验诊断的灵敏度、特异度及准确度均高于其他HbA1c、FPG、2 h PG单一诊断的灵敏度、特异度及准确度,具有统计学意义(P<0.05)。结论HbA1c、FPG、2 h PG联合检验相较单一检验诊断糖尿病具有较高的临床价值,能够为临床治疗提供有价值的参考依据。
基金Supported by European Social Fund,under the Italian Ministry of Education,University and Research,PON03PE_00146_1/10 BIBIOFAR(CUP B88F12000730005 to Guadagni F,partially)
文摘AIM To investigate the clinical significance of routinely used glycemic parameters in a cohort of colorectal cancer(CRC) patients.METHODS Pre-treatment fasting blood glucose, insulin, Hb A1 c and homeostasis model of risk assessment(HOMA-IR) were retrospectively evaluated in a case-control study of 224 CRC and 112 control subjects matched for sex, obesity and diabetes frequency and blood lipid profile.Furthermore, the prognostic value of routinely used glycemic parameters towards progression-free(PFS) and overall survival(OS) was prospectively evaluated.RESULTS Fasting blood glucose, insulin, HOMA-IR and HbA 1c(all P < 0.0001) levels were higher in non-diabetic CRC patients compared with obesity-matched controls. All parameters were associated with increased CRC risk at ROC analysis, but no relationship with clinical-pathological variables or survival outcomes was observed for glycemia, insulinemia or HOMA-IR. Conversely, advanced CRC stage(P = 0.018) was an independent predictor of increased Hb A1 c levels, which were also higher in patients who had disease progression compared with those who did not(P = 0.05). Elevated Hb A1 c levels showed a negative prognostic value both in terms of PFS(HR = 1.24) and OS(HR = 1.36) after adjustment for major confounders, which was further confirmed in a subgroup analysis performed after exclusion of diabetic patients.CONCLUSION HbA 1c might have a negative prognostic value in CRC, thus suggesting that glycemic metabolic markers should be carefully monitored in these patients, independently of overt diabetes.