Correlation of serum 25-hydroxyvitamin D and parathyroid hormone levels with hypertension in patients with type 2 diabetes mellitus / 中国基层医药

Objective:To correlate serum 25-hydroxylvitamin D and parathyroid hormone levels with hypertension in patients with type 2 diabetes mellitus.Methods:A total of 100 patients with type 2 diabetes mellitus admitted to Siming Branch, the First Affiliated Hospital of Xiamen University, China from February 2018 to August 2020 were included in this study. These patients were stratified according to hypertension, and serum 25-hydroxyvitamin D level. The correlation between serum 25-hydroxyvitamin D and parathyroid hormone and hypertension was analyzed.Results:Among the 100 patients with type 2 diabetes meliitus, 25 patients had grade 1 hypertension, 30 patients had grade 2 hypertension, 45 patients had grade 3 hypertension, 5 patients (5%) had sufficient levels of 25-hydroxyvitamin D, 10 patients (10%) had insufficient levels of 25-hydroxyvitamin D, 85 patients (85%) had inadequate levels of 25-hydroxyvitamin D. Serum levels of 25-hydroxyvitamin D in patients with grade 1, grade 2, and grade 3 hypertension were (12.18 ± 2.52) μg/L, (12.45 ± 2.39) μg/L, (10.33 ± 1.26) μg/L, respectively, and parathyroid hormone levels were (36.48 ± 0.25) ng/L, (41.15 ± 0.39) ng/L, and (47.52 ± 1.44) ng/L, respectively. As blood pressure increased, the patient's serum levels of 25-hydroxyvitamin D increased first and then decreased, while parathyroid hormone levels gradually increased. However, there were no statistically significant differences in serum levels of 25-hydroxyvitamin D and parathyroid hormone between patients of different hypertension grades ( F = 0.96, 1.93, both P > 0.05). Logistic regression analysis showed that hypertension in type 2 diabetes patients was correlated with age, body mass index, serum 25 hydroxyvitamin D level, glycated hemoglobin and parathyroid hormone level ( OR = 1.076, 1.266, 0.937, 1.257, 1.000, all P < 0.05). Conclusion:The serum levels of 25-hydroxyvitamin D and parathyroid hormone in patients with type 2 diabetes mellitus are related to hypertension.

Establishment of prediction nomogram model of type 2 diabetes mellitus complications based on laboratory indexes such as glycosylated hemoglobin / 中国医师进修杂志

Objective:To study the effect of related laboratory indexes such as glycosylated hemoglobin on the occurrence of complications in patients with type 2 diabetes mellitus, and to construct a nomogram model.Methods:The clinical data of 203 patients with 2 diabetes mellitus from May 2020 to April 2022 in Quzhou Hospital, Zhejiang Medical and Health Group were retrospectively analyzed. Among them, 64 patients had no diabetic complications (control group), and 139 patients had diabetic complications (complication group). The clinical data of the two groups were recorded, and the related influencing factors of complications in patients with type 2 diabetes were analyzed; receiver operating characteristic (ROC) curve was used to analyze the predicting value of significant indexes for the complications in patients with type 2 diabetes; multivariate Logistic regression analysis was used to analyze the independent risk factors of complications in patients with type 2 diabetes; R language software 4.0 "rms" package was used to construct the nomogram model for predicting the complications in patients with type 2 diabetes, the calibration curve was internally validated, and the decision curve was used to evaluate the predictive efficacy of the nomogram model.Results:The hypertension rate, hyperlipemia rate, course of disease, fasting blood glucose, postprandial 2 h blood glucose and glycosylated hemoglobin in complication group were significantly higher in those in control group: 44.60% (62/139) vs. 20.31% (13/64), 48.92% (68/139) vs. 25.00% (16/64), (5.42 ± 0.68) years vs. (4.84 ± 0.51) years, (12.60 ± 2.80) mmol/L vs. (10.20 ± 1.90) mmol/L, (16.50 ± 3.10) mmol/L vs. (12.50 ± 2.90) mmol/L and (9.62 ± 1.33)% vs. (7.96 ± 0.85)%, and there were statistical differences ( P<0.01); there were no statistical differences in gender composition, age, body mass index, smoking rate, drinking rate, albumin and creatinine between the two groups ( P>0.05). ROC curve analysis result showed that the area under the curve of the course of disease, fasting blood glucose, postprandial 2 h blood glucose and glycosylated hemoglobin for predicting the complications in patients with type 2 diabetes were 0.725, 0.752, 0.830 and 0.861, respectively; the optimal cut-off values were 5 year, 11.8 mmol/L, 15.1 mmol/L and 9.23%. Multivariate Logistic regression analysis result showed that hypertension, hyperlipemia, course of disease, fasting blood glucose, postprandial 2 h blood glucose and glycosylated hemoglobin were independent risk factors of complications in patients with type 2 diabetes ( OR = 1.563, 1.692, 1.451, 1.703, 1.506 and 1.805; 95% CI 1.268 to 1.689, 1.483 to 1.824, 1.215 to 1.620, 1.402 to 1.903, 1.303 to 1.801 and 1.697 to 1.926; P<0.05). The hypertension, hyperlipemia, course of disease, fasting blood glucose, postprandial 2 h blood glucose and glycosylated hemoglobin were used as predictors to construct a nomogram model for predicting the complications in patients with type 2 diabetes. Internal validation result showed that the nomogram model predicted the complications with good concordance in patients with type 2 diabetes (C-index = 0.815, 95% CI 0.796 to 0.843); the nomogram model predicted the complications in patients with type 2 diabetes at a threshold >0.18, provided a net clinical benefit, and all had higher clinical net benefits than hypertension, hyperlipemia, course of disease, fasting blood glucose, postprandial 2 h blood glucose and glycosylated hemoglobin. Conclusions:The nomogram model constructed based on hypertension, hyperlipemia, course of disease, fasting blood glucose, postprandial 2 h blood glucose and glycosylated hemoglobin has better clinical value in predicting the complications in patients with type 2 diabetes.

Prevalence and risk factors of diabetic retinopathy in Tibet / 中国基层医药

Objective:To investigate the prevalence and risk factors of diabetic retinopathy (DR) in patients in Tibet.Methods:A total of 239 patients with DR who received treatment in Department of Endocrinology and Metabolism, Hospital of Chengdu Office of People's Government of Tibet Autonomous Region from December 2017 to December 2018 were included in this study. They were divided into Han nationality and Zang nationality groups according to ethnicity. The condition of DR was evaluated with nonmydriatic ocular fundus photography according to the staging criteria of the severity of retinopathy.Results:The prevalence of DR in Tibet was 18.0％. The prevalence of DR in Tibetan and Han patients with diabetes was 17.5% and 19.2%, respectively. There was no significant difference in the prevalence of DR between Tibetan and Han patients with diabetes ( χ2 = 0.10, P = 0.754). Logistic regression analysis revealed that the risk factors of developing DR in Tibet included diabetes duration ( OR = 1.14, 95% CI: 1.05-1.24, P < 0.05), insulin therapy ( OR = 2.74, 95% CI: 1.09-6.89, P < 0.05), fasting plasma glucose ( OR = 1.37, 95% CI: 1.07-1.75, P < 0.05) and hypertension ( OR = 1.98, 95% CI: 1.02-3.86, P < 0.05). Diabetes duration and fasting plasma glucose are independent risk factors of DR. However, although elevated glycated hemoglobin levels were high in Tibet, they could not be used to predict the risk for developing DR ( OR = 1.01, 95% CI: 0.82-1.25, P > 0.05). Conclusion:Hyperglycemia is an important risk factor of developing DR in Tibet. However, elevated glycated hemoglobin levels cannot be used to predict the risk of developing DR in Tibet. Findings from this study fill the gap in the research on DR prevalence and ethic difference of DR prevalence, providing scientific evidence for prevention and treatment of DR in high-altitude areas.

Predictive value of hemoglobin glycation index for chronic kidney disease / 中华内科杂志

Objective:To investigate the influence of hemoglobin glycation index (HGI) on the risk of incident chronic kidney disease (CDK) among nondiabetic patients.Methods:Prospective cohort study. At baseline, a total of 7 407 nondiabetic patients without a history of CKD from Pingguoyuan Community of the Shijingshan District in Beijing were included from December 2011 to August 2012, who were then divided into three groups according to the tertiles of their baseline HGI levels. The CKD incidence rate was compared among the different HGI groups at last follow-up. Cox multivariable regression was applied to evaluate whether HGI measures predicted CKD risk. Test for trend across tertiles were examined using ordinal values in separate models.Results:The mean age of the subjects was (56.4±7.5) years, and 4 933 (66.6%) were female. At mean follow-up of 3.23 years, 107 (1.4%) individuals developed CKD. The incidence of CKD was gradually increasing from the low to high HGI groups [1.1% (28/2 473) vs. 1.2% (31/2 564) vs. 2.0% (48/2 370), P=0.016]. In the multivariate Cox regression analysis, after adjustment for potential confounders, the high HGI group had a 68.5% increased risk of CKD compared with the low HGI group ( HR=1.685, 95% CI 1.023 to 2.774). CKD risk increased with increasing HGI tertiles ( P for trend=0.028). Conclusion:High HGI is associated with an increased risk for CKD in the nondiabetic population, indicating that HGI may help identify individuals at high risk for CKD.

Correlation between glycemic variability and glycosylated hemoglobin level during follow-up in elderly male patients with type 2 diabetes in Beijing / 中华内科杂志

Objective:To investigate the relationship between glycemic variability and glycosylated hemoglobin (HbA1c) level during follow-up in elderly male patients with type 2 diabetes.Methods:Retrospective cohort study. A total of 200 elderly male patients who received continuous glucose monitoring from January 2007 to January 2011 were recruited in the Second Medical Center of PLA General Hospital. The subjects were divided into two groups according to baseline mean amplitude of glycaemic excursion (MAGE) level, including MAGE <3.9 mmol/L group ( n=114) and MAGE ≥3.9 mmol/L group ( n=86). The correlation between baseline MAGE and mean HbA1c during follow-up were evaluated by univariate Pearson correlation analysis and multivariate linear regression analysis. Results:Baseline characteristics including age, body mass index, waist circumference, smoking, drinking, fasting blood glucose, blood lipid and blood pressure were comparable between MAGE <3.9 mmol/L group and MAGE ≥3.9 mmol/L group. The average follow-up period was 12.5 years. The mean HbA1c during follow-up in MAGE ≥3.9 mmol/L group was significantly higher than that in MAGE <3.9 mmol/L group (7.23%±0.72% vs. 6.91%±0.77%, t=-2.94, P=0.004). The proportion of mean HbA1c <7.0% during follow-up in MAGE ≥3.9 mmol/L group was 44.2% (38/86), which was significantly lower than that in MAGE <3.9 mmol/L group [60.5% (69/114), χ 2=5.26, P=0.022]. In univariate analysis, MAGE at baseline was correlated with the mean HbA1c during follow-up ( r=0.306, P<0.001). Multivariate linear regression analysis suggested that the baseline MAGE remained an independent influential factor of mean HbA1c ( β=0.09, 95% CI: 0.03 to 0.15, P=0.006, R2=0.31) after several confounding factors were adjusted. Conclusions:With the increased glycemic variability at baseline, mean HbA1c level during follow-up is accordingly elevated. The glycemic variability at baseline is independently related to mean HbA1c level during follow-up in elderly male patients with type 2 diabetes.

[Factors associated with quality of life in 747 patients with type 2 diabetes in Tongzhou District and Shunyi District of Beijing].

OBJECTIVE: To investigate the situation of quality of life in patients with type 2 diabetes and its associated factors. METHODS: Questionnaires, physical examination and glycated hemoglobin test were conducted in 747 patients with type 2 diabetes. Hemoglobin A1c (HbA1c) was a proxy for glycemic control, diabetes specific quality of life scale (DSQL) score was a proxy for quality of life. Factors associa-ted with DSQL were analyzed by multiple linear regression and structural equation modeling (SEM). RESULTS: A total of 747 patients were included in this study. The mean HbA1c level was (7.1±1.2)%, with 35.1% reaching the target (262/747). There were significant differences in disease duration, me-dication and use of insulin, smoking, and body mass index (BMI) between the two groups with good and poor glycemic control (P < 0.05). The total score of DSQL was 44.92±13.32, in which average phy-siological factors were the highest, then followed by scores of psychological factors. Multiple linear regression showed that monthly household income, comorbidities, depression, duration of illness, insulin, hospitalization, and self-efficacy were significantly associated with the total score of DSQL (P < 0.05). SEM showed that blood glucose control was significantly associated with the scores of physical factors (0.166), psychological factors (0.076), and social factors (0.124) of DSQL, respectively. Depression had effects on the physical factors (0.342), psychological factors (0.217), and treatment factors (0.050) of DSQL (P < 0.05). CONCLUSION: Glycemic control in our study is relatively poor but the quality of life remains well. More attention should be paid to patients who are male, with long diagnosis duration, poor medication adherence, smoking, with depression and with low diabetes-related skills. In practice, health practitioners should be aware of psychological needs of patients, and offer mental health education to patients and their families, in order to help patients manage blood glucose and improve their quality of life.

Effectiveness effects of screening elevated blood glucose of pre pubertal children with HbA1c / 中国学校卫生

Objective@#To explore the performances of HbA1c when identifying elevated blood glucose among pre pubertal children, and to provide scientific basis for early screening biomarkers of abnormal blood glucose in children.@*Methods@#A total of 1 208 prepubertal children aged 7 to 10 years old in Xiamen were sampled with the cluster sampling method. Fasting venous blood was drawn to measure the level of HbA1c and FPG. According to American Diabetes Association (ADA) criteria, participants were divided into normal group, HbA1c abnormal group, FPG abnormal group and combined abnormal group. Partial correlation analysis was used to analyze the correlation between HbA1c and FPG. The cutoffs of HbA1c were calculated when FPG was 5.6 mmol/L. Receiver operating curve (ROC) was used to judge the performances of HbA1c while screening abnormal blood glucose.@*Results@#With HbA1c, FPG and the combined indicators as the screening criteria, the prevalence of high blood glucose were 2.2%, 4.0%, and 5.8%, respectively. The partial correlation coefficient of FPG and HbA1c was 0.15( P <0.01), and the correlation coefficient in girls( r =0.22) and non overweight group( r =0.16) were higher. The cutoff of HbA1c was 5.15% if FPG was 5.6 mmol/L. Taking the combined indicator as the reference standard, the AUC of FPG was 0.84 (95% CI =0.79-0.90) and the AUC of HbA1c was 0.69 (95% CI =0.63-0.74).@*Conclusion@#There is a low correlation between HbA1c and FPG in pre pubertal children. The performance of HbA1c is different from FPG when used as the indicator to screen children with abnormal blood glucose. It is recommended to use the combined indicator of HbA1c and FPG to screen abnormal blood glucose in prepubertal children.

Correlation between pre-delivery glycated hemoglobin Alc level and pregnancy outcome in patients with gestational diabetes mellitus / 中国基层医药

Objective:To investigate the relationship between pre-delivery glycated hemoglobin A1c (HbA1c) level and pregnancy outcome in patients with gestational diabetes mellitus (GDM).Methods:A total of 200 GDM patients who received treatment in Zhuji Maternal and Child Health Hospital, China between April 2018 and April 2020 were included in this study. All patients were subjected to health education, medical nutrition therapy, exercise intervention and necessary drug treatment. These patients were divided into GDM-1 (HbA1c > 7.0%, n = 30), GDM-2 (HbA1c 5.5%-7.0%, n = 30) and GDM-3 (HbA1c < 5.5%, n = 106) groups according to HbA1c levels within pre-delivery 1-3 days. An additional 400 healthy pregnant women who concurrently received health examination were included in the healthy control group (NC group). HbA1c level was compared between GDM patients and healthy controls. Pregnancy outcome was compared among patients with different HbA1c levels. Results:The incidences of pregnancy-induced hypertension, pathologic excess of amniotic fluid volume, cesarean section, asphyxia, neonatal hyperbilirubinemia, neonatal hypoglycemia, giant infant and premature delivery were significantly higher than those in the NC group ( χ2 = 4.59, 8.11, 9.19, 7.42, 10.05, 11.52, 35.75, 21.12, all P < 0.05). The incidences of pregnancy-induced hypertension, pathologic excess of amniotic fluid volume, cesarean section, asphyxia, neonatal hyperbilirubinemia, neonatal hypoglycemia, giant infant and premature delivery in the GDM-1 group were 10.00% (3/30), 30.00% (9/30), 33.33% (10/30), 26.67% (8/30), 30.00% (9/30), 36.67% (11/30), 50.00% (15/30), 30.00% (9/30), respectively, and they were 4.69% (3/64), 14.06% (9/64), 28.13% (18/64), 14.06% (9/64), 18.75% (12/64), 18.75% (12/64), 39.06% (25/64), 15.63% (10/64), respectively in the GDM-2 group, and 0.94% (1/106), 6.60% (7/106), 14.15% (15/106), 9.43% (10/106), 4.72% (5/106), 4.72% (5/106), 18.87% (20/106), 9.43% (10/106), respectively in the GDM-3 group. There were significant differences in these indexes among the three groups ( χ2= 6.07, 11.91, 7.56, 5.97, 15.97, 21.59, 14.47, 8.07, all P < 0.05). Conclusion:Pre-delivery HbA1c level in GDM patients is related to pregnancy outcomes such as pregnancy-induced hypertension, pathologic excess of amniotic fluid volume, cesarean section, asphyxia, neonatal hyperbilirubinemia, neonatal hypoglycemia, giant infant and premature delivery. Strict control of blood glucose is of great significance to improve the outcomes of pregnant patients with GDM and their newborns.

The correlation of glycosylated hemoglobin level in the late pregnancy gestational diabetes mellitus patients and fetal weights, neonatal Apgar scores, maternal and infant adverse outcomes / 中国医师进修杂志

Objective:To analyze the correlation of glycosylated hemoglobin (HbA 1c) level in the late pregnancy gestational diabetes mellitus (GDM) patients and fetal weights, neonatal Apgar scores, maternal and infant adverse outcomes. Methods:One hundred and eighty-seven pregnant women who were diagnosed with GDM from January 2015 to July 2019 and delivered in Yixing People′s Hospital after standard diagnosis and treatment were divided into four groups (A group: HbA 1c<6.0%, 65 cases; B group: HbA 1c: 6.0% - 6.5%, 49 cases; C group: HbA 1c 6.6%-7.0%, 39 cases; D group: HbA 1c>7.0%, 34 cases) according to the HbA 1c examination results at 28 to 32 weeks of gestation. General data, fetal weights, neonatal Apgar scores and maternal and infant adverse outcomes were compared among the four groups. The correlation between GDM HbA 1c and fetal weights, neonatal Apgar scores and maternal and infant adverse outcomes were analyzed by unconditional Logistic regression. Results:In general data of GDM pregnant women with different HbA 1c levels, only oral glucose tolerance test (OGTT) fasting blood glucose: (4.68 ± 0.60), (4.89 ± 0.69), (5.23 ± 0.90), (6.48 ± 2.17) mmol/L; postprandial 1 h blood glucose: (9.84 ± 1.56), (10.09 ± 1.84), (10.6 ± 2.01), (12.74 ± 4.12) mmol/L; postprandial 2 h blood glucose: (8.65 ± 1.49), (8.86 ± 1.76), (9.28 ± 2.15), (11.56 ± 4.93) mmol/L, showed statistically significant differences ( P<0.05). Among the newborns of GDM pregnant women with different HbA 1c levels, there were statistically significant differences in the macrosomic infant rates: 1.54%(1/65), 10.20%(5/49), 12.82%(5/39), 17.65%(6/34); rates of neonatal Apgar scores<7 points:13.85%(9/65), 16.33%(8/49), 25.64%(10/39), 44.12%(15/34); the proportion of maternal and infant adverse outcomes: 24.62%(16/65), 24.49%(12/49), 28.21%(11/39), 50.00%(17/34), showed statistically significant differences ( P<0.05). After adjusting OGTT by unconditional Logistic regression analysis, HbA 1c (6.6%-7.0% and>7.0%) was independent risk factor for macrosomic infants: OR = 1.430, 95% CI = 1.035-1.977, P = 0.030; OR = 2.042, 95% CI = 1.311-3.180, P = 0.001; maternal and infant adverse outcomes: OR = 1.774, 95% CI = 1.130-2.874, P = 0.010; OR = 3.387, 95% CI = 1.608-7.133, P = 0.001. HbA 1c>7.0% was independent risk factors for neonatal Apgar scores<7 points: OR = 1.848 95% CI = 1.086-3.143, P = 0.023. Conclusions:There was a significant correlation between HbA 1c in GDM pregnant women in the late pregnancy and macrosomic infants, neonatal Apgar scores, and maternal and infant adverse outcomes. In particular, GDM pregnant women with HbA 1c>7.0% should be alert to the risk of macrosomic infants, neonatal Apgar score<7 points, and maternal and infant adverse outcomes.

Factors associated with quality of life in 747 patients with type 2 diabetes in Tongzhou District and Shunyi District of Beijing / 北京大学学报(医学版)

OBJECTIVE@#To investigate the situation of quality of life in patients with type 2 diabetes and its associated factors.@*METHODS@#Questionnaires, physical examination and glycated hemoglobin test were conducted in 747 patients with type 2 diabetes. Hemoglobin A1c (HbA1c) was a proxy for glycemic control, diabetes specific quality of life scale (DSQL) score was a proxy for quality of life. Factors associa-ted with DSQL were analyzed by multiple linear regression and structural equation modeling (SEM).@*RESULTS@#A total of 747 patients were included in this study. The mean HbA1c level was (7.1±1.2)%, with 35.1% reaching the target (262/747). There were significant differences in disease duration, me-dication and use of insulin, smoking, and body mass index (BMI) between the two groups with good and poor glycemic control (P < 0.05). The total score of DSQL was 44.92±13.32, in which average phy-siological factors were the highest, then followed by scores of psychological factors. Multiple linear regression showed that monthly household income, comorbidities, depression, duration of illness, insulin, hospitalization, and self-efficacy were significantly associated with the total score of DSQL (P < 0.05). SEM showed that blood glucose control was significantly associated with the scores of physical factors (0.166), psychological factors (0.076), and social factors (0.124) of DSQL, respectively. Depression had effects on the physical factors (0.342), psychological factors (0.217), and treatment factors (0.050) of DSQL (P < 0.05).@*CONCLUSION@#Glycemic control in our study is relatively poor but the quality of life remains well. More attention should be paid to patients who are male, with long diagnosis duration, poor medication adherence, smoking, with depression and with low diabetes-related skills. In practice, health practitioners should be aware of psychological needs of patients, and offer mental health education to patients and their families, in order to help patients manage blood glucose and improve their quality of life.

Higher glucagon-to-insulin ratio is associated with elevated glycated hemoglobin levels in type 2 diabetes patients.

BACKGROUND/AIMS: The importance of α-cell dysfunction in the pathogenesis of type 2 diabetes has re-emerged recently. However, data on whether relative glucagon excess is present in clinical settings are scarce. We aimed to investigate associations between glucagon-to-insulin ratio and various metabolic parameters. METHODS: A total of 451 patients with type 2 diabetes naïve to insulin treatment were recruited. Using glucagon-to-insulin ratio, we divided subjects into quartiles according to both fasting and postprandial glucagon-to-insulin ratios. RESULTS: The mean age of the subjects was 58 years, with a mean body mass index of 25 kg/m2 . The patients in the highest quartile of glucagon-to-insulin ratio had higher glycated hemoglobin (HbA1c) levels. HbA1c levels were positively correlated with both fasting and postprandial glucagon-to-insulin ratios. Subjects in the highest quartile of postprandial glucagon-to-insulin ratio were more likely to exhibit uncontrolled hyperglycemia, even after adjusting for confounding factors (odds ratio, 2.730; 95% confidence interval, 1.236 to 6.028; p for trend < 0.01). CONCLUSION: Hyperglucagonemia relative to insulin could contribute to uncontrolled hyperglycemia in type 2 diabetes patients.

Current developments of biosensors-based hemoglobin A1e detection and its POCT analyzers in the market / 中华检验医学杂志

Measurement of glycosylated hemoglobin (HbA1c) is an important indicator for assessing long term glycemic control in individuals with diabetes mellitus.There are more than 300 different assay methods for the analysis of HbA1c.This review outlines the current developments about biosensors assay as well as the situation of POCT analyzers in the market for HbA1c detection at present.

Quantitative analysis of the effect of HbA1c level on macular microcirculation in patients with type 2 diabetes mellitus / 中华眼底病杂志

Objective To observe and analyze the effect of HbA1c level on macular microcirculation in patients with type 2 diabetes mellitus (T2DM).Methods A cross-sectional study.One hundred and twenty-four T2DM patients (124 eyes) without diabetic retinopathy who diagnosed by the examination of fundus color photography in Lixiang Eye Hospital Of Soochow University during September to December 2017 were enrolled in this study.There were 59 males (59 eyes) and 65 females (65 eyes),with the mean age of 65.06±7.99 years old.All patients underwent BCVA,fundus color photography,and OCT angiography (OCTA).The history of diabetes,hypertension and dyslipidemia were recorded in detail.According to the HbA 1 c level,patients were divided into three groups,HbA1c ideal control group (group A,HbA1c ＜7％,67 eyes),HbA1c control group (group B,7％≤HbA1c≤9％,44 eyes),and HbA1c poor control group (group C,HbA1c＞9％,13 eyes),respectively.The 3 mm × 3 mm range of the macular area was scanned by OCTA instrument.The vascular density (VD) and skeleton density (SD) of nonsegmented retinal layer (NRL),superficial retinal layer (SRL) and deep retinal layer (DRL) in the macular area and foveal avascular zone (FAZ) area,non-circularity index,axial rate (AR) of SRL were measured.The correlation between HbA1c,BCVA and VD,SD ofNRL,SRL,DRL was analyzed statistically with Spearman correlation test.The correlation between systemic factors and the above indicators was analyzed statistically with linear regression analysis.Results The results of linear regression analysis showed that HbA1 c was significantly correlated with VD (t=-3.237,-3.156,-2.050) and SD (t=-0.3.45,-3.034,-2.248) of NRL,SRL and DRL (P＜0.05);but no correlation with FAZ,non-circularity index and AR (t=1.739,0.429,1.155;P＞0.05).The differences of VD (F=6.349,5.981,3.709),SD (F=7.275,6.085,1.904) and AR (F=0.027) of NRL,SRL and DRL in group A,B and C were statistically significant (P＜0.05);but the differences of FAZ (F=1.904),non-circularity index (F=0.280) was not statistically significant (P＞0.05).Significant differences (P＜0.05) of VD and SD of NRL were found between group A and B (t=1.987,2.201),group A and C (t=3.365,3.572),group B and C (t=2.010,2.076).Significant differences (P＜0.05) of VD and SD of SRL were found between group A and B (t=2.087,2.168),group A and C (t=3.197,3.194).There were significant differences (P＜ 0.05) in SD of DRL between group A and B (t=2.239),group A and C (t=-2.519).There was significant difference in VD of DRL between group A and C (t=2.363).The results of Spearman correlation analysis showed that HbA1c was negatively correlated with VD (r=-0.273,-0.255,-0.222;P=0.002,0.004,0.013) and SD (r=-0.275,-0.236,-0.254;P＜0.05) ofNRL,SRL,DRL;positively correlated with FAZ and BCVA (r=0.221,0.183;P＜0.05).BCVA was negatively correlated with VD (r=-0.210,-0.190,-0.245) and SD (r=-0.239,-0.207,-0.296) of NRL,SRL,and DRL (P＜0.05),but not correlated with FAZ (r=0.099,P＞0.05).Conclusion The decrease of macular perfusion and the morphological change of FAZ accompanied by HbA1c increased.

The correlation between the serum level of CEA and vascular endothelial growth factor in diabetes mellitus / 中国医师杂志

Objective To investigate the correlation between serum carcinoembryonic antigen (CEA) levels and vascular endothelial growth factor (VEGF) levels in diabetics.Methods 92 cases of hospitalized diabetics (they were divided into the pre-treatment group and after-treatment group by intensive hypoglycemic treatment) were collected,and 94 cases of healthy controls were chosen as control group.Serum levels of CEA,hemoglobin Alc (HbAlc),VEGF and another indicators were detected and compared among the three groups.The correlations between VEGF,CEA,and HbA1c were analyzed respectively.Results The serum levels of CEA and VEGF in pre-treatment group were significantly higher than that in after-treatment group and healthy control group.In diabetics,the CEA level was positively correlated with HbA1 c (r =0.91,P ＜ 0.05) and VEGF (r =0.90,P ＜ 0.05),while there was no correlation between HbA1 c and VEGF after intensive treatment (r =0.17,P ＞ 0.05).Conclusions The level of VEGF was positively correlated with CEA,and VEGF maybe one of the pathogenesis of high CEA in diabetes mellitus.

Effect of flash glucose monitoring on ambulatory glucose profile in patients with type 2 diabetes mellitus / 中国医师进修杂志

Objective To investigate the effect of flash glucose monitoring (FGM) on ambulatory glucose profile of only oral antidiabetic drugs treated patients with type 2 diabetes mellitus. Methods Twenty-eight type 2 diabetic mellitus patients with only oral antidiabetic drugs treatment from August 2017 to January 2018 were enrolled. All the patients were exposed to FGM for 14 d without changing the original treatment and encouraged to manage self-behavior by adjusting diet and activity based on the blood glucose data obtained from the real-time scanning. The changes in glucose profile during the FGM period were observed, including estimated glycated hemoglobin (HbA1c), standard deviation of blood glucose, variable coefficient of blood glucose, mean amplitude of glycemic excursions, time in range (blood glucose 3.9 to 10.0 mmol/L), area under the curve hyperglycemia (blood glucose> 10.0 mmol/L) and area under the curve hypoglycemia (blood glucose<3.9 mmol/L). The blood glucose levels on second day and thirteenth day were used as baseline and end point respectively. Results All of the 28 patients did not change their anti-diabetic drug therapy and there were no adverse events occurred. The estimated HbA1c was significantly lower than the baseline HbA1c: (6.90 ± 1.48)% vs. (7.57 ± 1.35)%, and there was statistical difference (P = 0.004). The standard deviation of blood glucose, variable coefficient of blood glucose, mean amplitude of glycemic excursions, area under the curve hyperglycemia and area under the curve hypoglycemia at end were significantly lower than those at baseline: (2.07 ± 0.86) mmol/L vs. (2.44 ± 0.86) mmol/L, 0.26 ± 0.11 vs. 0.30 ± 0.11, (5.32 ± 2.75) mmol/L vs. (6.76 ± 3.06) mmol/L, 265 (0, 1 310) vs. 351 (107, 2 177) and 0 (0, 0) vs. 0 (0, 19), the time in range at end was significantly higher than that at baseline: (1 069 ± 386) min vs. (921 ± 449) min, and there were statistical differences (P＜0.05 or＜0.01). The rate of scanning was (12.92 ± 4.87) times/d. Conclusions FGM could be applied by type 2 diabetic mellitus patients to make self-glycemic management without changing therapy, reduce the estimated HbA1c,and hypoglycemia, and improve the glucose fluctuations, which may result from real-time scanning to find abnormal glycemia and adjust daily behavior.

Clinical features of diabetic patients with bacterial liver abscess and different levels of glycosylated hemoglobin / 临床肝胆病杂志

@#ObjectiveTo investigate the clinical features of diabetic patients with bacterial liver abscess and different levels of glycosylated hemoglobin (HbAlc). MethodsA total of 118 adult diabetic patients with bacterial liver abscess who were admitted to our hospital from December 2014 to December 2018 were enrolled, and according to the level of HbAlc, they were divided into well-controlled group with 32 patients, fairly-controlled group with 31 patients, and poorly-controlled group with 55 patients. The three groups were compared in terms of general data, clinical manifestations, laboratory results, complications, and pathogen test results. A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the least significant difference t-test was used for further comparison between two groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. ResultsThere were significant differences in mean age and length of hospital stay between the three groups (F=2.933 and 3.310, both P＜0.05). Compared with the other two groups, the poorly-controlled group had a significantly younger mean age of onset (P=0.016) and a significantly longer length of hospital stay (P=0.044). Hypertension was the most common underlying disease in diabetic patients with liver abscess, followed by biliary tract diseases and cerebral infarction, and there was a significant difference in cerebral infarction between the three groups (χ2=6.135, P=0037). Compared with the well-controlled group, the poorly-controlled group had significantly fewer and less typical signs of abdominal tenderness (χ2=6.178, P=0.046), and compared with the other two groups, the poorly-controlled group tended to have a significant increase in C-reactive protein (χ2=5.985, P=0.049) and were more likely to develop sepsis (χ2=6.247, P=0.044). ConclusionFor diabetic patients with bacterial liver abscess, the patients with a poorly controlled HbAlc level often have a young age of onset, a long length of hospital stay, and atypical clinical signs and are likely to develop sepsis, which may lead to insufficient attention in clinical practice, delay diagnosis and treatment, and even endanger life, and therefore, such patients should be taken seriously in clinical practice.

Correlation between blood glucose and aneurysm rupture / 中国医师进修杂志

Objective@#To investigate the correlation between blood glucose and aneurysm rupture, and analyze the correlation factors of aneurysm rupture.@*Methods@#The clinical data of 128 patients with intracranial aneurysms in the First Affiliated Hospital of Kunming Medical University from January 2017 to August 2018 were retrospectively analyzed. Among them, intracranial aneurysm rupture was in 85 cases (rupture group), and unruptured was in 43 cases (unruptured group). The patient′s clinical features and aneurysm morphological features were recorded.@*Results@#The blood glucose, daughter sac rate and regularity of morphology rate in ruptured group were significantly higher than those in unruptured group: (6.74 ± 2.61) mmol/L vs. (5.77 ± 2.11) mmol/L, 60.00% (51/85) vs. 11.63% (5/43), and 68.24% (58/85) vs. 30.23% (13/43), the aneurysm width was significantly smaller than that in unruptured group: (4.53 ± 2.25) mm vs. (5.67 ± 2.68) mm, and there were statistical differences (P<0.05 or <0.01). There were no statistical difference in gender, age, blood pressure, diabetes, hypertension, smoking history, glycosylated hemoglobin, blood lipids, aneurysm length, aneurysm neck, aneurysm length ratio to neck between 2 groups (P>0.05). Univariate Logistic regression analysis result showed that blood glucose, aneurysm width, daughter ascus and irregular shape were the risk factors of rupture of aneurysm (P<0.05 or <0.01). Multivariate Logistic regression analysis result showed that blood glucose, aneurysm width, daughter sac and irregular shape were the independent risk factors of rupture of aneurysm (OR = 1.364, 0.709, 9.441 and 3.935; 95% CI 1.073 to 1.734, 0.565 to 0.889, 2.879 to 30.963 and 1.330 to 11.646; P = 0.011, 0.003, 0.000 and 0.013). The patients were grouped again according to the aneurysm width, and univariate Logistic regression analysis result showed that aneurysm width ≤ 3 mm was the risk factors of rupture of aneurysm (OR = 0.294, 95% CI 0.094 to 0.916, P = 0.035).@*Conclusions@#Irregular shape and daughter sac of aneurysm are the independent risk factors of aneurysm rupture, but aneurysm rupture has nothing to do with recent blood sugar levels.

[Glycemic control and its associated factors in children and adolescents with type 1 diabetes mellitus].

Objective: To explore the factors associated with glycemic control in children and adolescents with type 1 diabetes mellitus (T1DM) treated with continuous subcutaneous insulin infusion (CSII). Methods: Subjects were enrolled from the Guangdong Type 1 Diabetes Translational Medicine Study between June 2011 and August 2017. Patients with T1DM aged less than 18 years and treated with CSII for at least 6 months were included. Demographic data and clinical information on self-monitoring of blood glucose (SMBG), glycosylated hemoglobin (HbA1c) and insulin treatment were collected. Participants were categorized based on HbA1c levels as sufficient control group (HbA1c<7.5% ) and insufficient control group ( HbA1c≥7.5%). A multivariate logistic regression model was used to examine the factors associated with glycemic control. Results: A total of 142 participants (76 females, 66 males) with a median age of 13.0 (9.9, 15.0) years and a median disease duration of 3.0 (1.6, 5.0) years were enrolled. HbA1c was (8.2±2.0)% and 41.55%(59/142) of patients achieved the target for HbA1c. The frequency of SMBG was 5.0 (2.0, 8.0) and 3.0 (1.0, 4.0) tests per day (P<0.001), and the frequency of hypoglycemia was 2.0 (0.8, 4.0) and 1.0 (0, 2.0) times per week (P=0.003) in sufficient control group and insufficient control group, respectively. Sufficient glycemic control (HbA1c <7.5%) was associated with the frequency of SMBG (OR=1.238, 95% CI: 1.088-1.409, P=0.001). Conclusion: A higher frequency of SMBG is one of the key factors to achieve sufficient glycemic control among children and adolescents with T1DM treated with CSII.

Using routine HbA1c measurements in stroke and the associations of dysglycaemia with stroke outcomes.

AIMS: Diabetes is a major risk factor for stroke. We aimed to investigate the prevalence of diabetes and pre-diabetes within a stroke cohort and examine the association of glycaemia status with mortality and morbidity. METHODS: Inpatients aged ≥54 who presented with a diagnosis of stroke had a routine HbA1c measurement as part of the Austin Health Diabetes Discovery Initiative. Additional data were attained from hospital databases and Australian Stroke Clinical Registry. Outcomes included diabetes and pre-diabetes prevalence, length of stay, 6-month and in-hospital mortality, 28-day readmission rates, and 3-month modified Rankin scale score. RESULTS: Between July 2013 and December 2015, 610 patients were studied. Of these, 31% had diabetes while 40% had pre-diabetes. Using multivariable regression analyses, the presence of diabetes was associated with higher odds of 6-month mortality (OR = 1.90, p = 0.022) and higher expected length of stay (IRR = 1.29, p = 0.004). Similarly, a higher HbA1c was associated with higher odds of 6-month mortality (OR = 1.27, p = 0.005) and higher expected length of stay (IRR = 1.08, p = 0.010). CONCLUSIONS: 71% of this cohort had diabetes or pre-diabetes. Presence of diabetes and higher HbA1c were associated with higher 6-month mortality and length of stay. Further research is necessary to determine if improved glycaemic control may improve stroke outcomes.

Dietary Fiber Intake and Type 2 Diabetes Mellitus: An Umbrella Review of Meta-analyses.

OBJECTIVE: The purpose of this study was to review previously published meta-analyses on the effectiveness of dietary fiber on type 2 diabetes. METHODS: An umbrella review of all published meta-analyses was performed. A PubMed search from January 1, 1980, to April 30, 2017, was conducted using the following search strategy: (fiber OR glucan OR psyllium) AND (meta-analysis OR systematic review). Only English-language publications that provided quantitative statistical analysis on type 2 diabetes, fasting blood glucose concentrations, or glycosylated hemoglobin were retrieved. RESULTS: Sixteen meta-analyses were retrieved for inclusion in this umbrella review. In the meta-analyses comparing highest versus lowest dietary fiber intake, there was a statistically significant reduction in the relative risk (RR) of type 2 diabetes (RR = 0.81-0.85), with the greatest benefit coming from cereal fibers (RR = 0.67-0.87). However, statistically significant heterogeneity was observed in all of these meta-analyses. In the meta-analyses of supplementation studies using ß-glucan or psyllium fibers on type 2 diabetic participants, statistically significant reductions were identified in both fasting blood glucose concentrations and glycosylated hemoglobin percentages. CONCLUSION: This review suggests that those consuming the highest amounts of dietary fiber, especially cereal fiber, may benefit from a reduction in the incidence of developing type 2 diabetes. There also appears to be a small reduction in fasting blood glucose concentration, as well as a small reduction in glycosylated hemoglobin percentage for individuals with type 2 diabetes who add ß-glucan or psyllium to their daily dietary intake.