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Long-term glycemic variability and the risk of mortality in diabetic patients receiving peritoneal dialysis.
Afghahi, H, Nasic, S, Peters, B, Rydell, H, Hadimeri, H, Svensson, J
PloS one. 2022;(1):e0262880
Abstract
BACKGROUND The large amount of glucose in the dialysate used in peritoneal dialysis (PD) likely affects the glycemic control. The aim of this study was to investigate the association between HbA1c variability, as a measure of long-term glycemic variability, and the risk of all-cause mortality in diabetic patients with PD. METHODS 325 patients with diabetes and ESRD were followed (2008-2018) in the Swedish Renal Registry. Patients were separated in seven groups according to level of HbA1c variability. The group with the lowest variability was denoted the reference. The ratio of the standard deviation (SD) to the mean of HbA1c, HbA1c (SD)/HbA1c (mean), i.e. the coefficient of variation (CV), was defined as HbA1c variability. Hazard ratios (HR) and 95% confidence intervals (CI) were examined using Cox regression analyses. RESULTS During follow-up, 170 (52%) deaths occurred. The highest mortality was among patients with the second highest HbA1c variability, CV≥2.83 [n = 44 of which 68% patients died]. In the multivariate analyses where lowest HbA1c variability (CV≤0.51) was used as the reference group, HbA1c CV 2.83-4.60 (HR 3.15, 95% CI 1.78-5.55; p<0.001) and CV> 4.6 (HR 2.48, 95% CI 1.21-5.11; p = 0.014) were associated with increased risk of death. CONCLUSION The high risk of all-cause mortality in patients with diabetes and PD increased significantly with elevated HbA1c variability, as measure of long-term glycemic control. This indicates that stable glycemia is associated with an improvement of survival; whereas more severe glycemic fluctuations, possibly caused by radical changes in dialysis regimes or peritonitis, are associated with a higher risk of mortality in diabetic patients with PD.
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Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study.
Loy, SL, Lin, J, Cheung, YB, Sreedharan, AV, Chin, X, Godfrey, KM, Tan, KH, Shek, LP, Chong, YS, Leow, MK, et al
Scientific reports. 2021;(1):20850
Abstract
Abnormalities of red blood cell (RBC) indices may affect glycated haemoglobin (HbA1c) levels. We assessed the influence of haemoglobin (Hb) and mean corpuscular volume (MCV) on the performance of HbA1c in detecting dysglycaemia among reproductive aged women planning to conceive. Women aged 18-45 years (n = 985) were classified as normal (12 ≤ Hb ≤ 16 g/dL and 80 ≤ MCV ≤ 100 fL) and abnormal (Hb < 12 g/dL and/or MCV < 80 fL). The Area Under the Receiver Operating Characteristic (AUROC) curve was used to determine the performance of HbA1c in detecting dysglycaemic status (prediabetes and diabetes). There were 771 (78.3%) women with normal RBC indices. The AUROCs for the normal and abnormal groups were 0.75 (95% confidence interval 0.69, 0.81) and 0.80 (0.70, 0.90), respectively, and were not statistically different from one another [difference 0.04 (- 0.16, 0.08)]. Further stratification by ethnicity showed no difference between the two groups among Chinese and Indian women. However, Malay women with normal RBC indices displayed lower AUROC compared to those with abnormal RBC indices (0.71 (0.55, 0.87) vs. 0.98 (0.93, 1.00), p = 0.002). The results suggest that the performance of HbA1c in detecting dysglycaemia was not influenced by abnormal RBC indices based on low Hb and/or low MCV. However, there may be ethnic variations among them.
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Flash Glucose Monitoring Improves Glucose Control in People with Type 2 Diabetes Mellitus Receiving Anti-diabetic Drug Medication.
Chen, M, Li, H, Shen, Y, Liu, B, Yan, R, Sun, X, Ye, L, Lee, KO, Ma, J, Su, X
Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association. 2021;(12):857-863
Abstract
OBJECTIVE To investigate the effects of Flash Glucose Monitoring (FGM) on glucose profile in people with Type 2 Diabetes Mellitus (T2DM) receiving anti-diabetic drug medication. METHODS This is a prospective non-randomized uncontrolled study. 111 people with T2DM were enrolled and received FGM for 14 days. There was no change of anti-diabetic medication during the 14 days. The plasma glucose concentration on day 2 was used as baseline and the day 13 was considered as study end point. The parameters to compare were mean plasma glucose (MPG), glucose variations, and incidence of hypoglycemia during the FGM period. The multivariate linear stepwise regression analysis was applied to determine the independent factors that affect MPG difference. RESULTS This study analyzed the data of a total of 111 people with T2DM (male 60 and female 51). The general clinical data of these patients were as follows: age: 65.0±6.7 years old; duration of diabetes: 11.6±6.8 years; HbA1c: 61.2±13.3 mmol/mol; body mass index (BMI): 25.2±3.2 kg/m². Using FGM, people with T2DM were able to change daily diet and exercise through which significant reductions in MPG on days 12 or 13 were achieved as compared with that of day 2 (P=0.04 or P=0.003, respectively). The glucose variations, such as standard deviation (SD) of plasma glucose, coefficient of variation (CV), and mean amplitude of glycemic excursion (MAGE), progressively declined starting from day 6 as compared with baseline (P=0.016, P=0.003, or P=0.012, respectively). The incremental area over the curve (AOC) of the hypoglycemia (<3.9 mmol/L) had a significant reduction starting from the day 3 (P=0.001). When people with T2DM were divided into 3 groups based on the tertile of HbA1c (high, middle, and low concentrations), the reduction of MPG in patients with high concentration of HbA1c were much larger than that in middle and low concentration group patients (P=0.001 for both). The incidence of hypoglycemia was improved in the low concentration group (P=0.017). The optimal frequency of scanning time required to maintain euglycemia was 11.7 times/day as calculated by the receiver operating characteristic (ROC) analysis. CONCLUSION Using FGM to monitor glucose concentration at 11.7 times/day, people with T2DM can achieve a better glucose control in addition to anti-diabetic drug medication through changing daily diet and exercise, especially in patients with high concentration of HbA1c (>66.1 mmol/mol).
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The KLF14 Variant is Associated with Type 2 Diabetes and HbA1C Level.
Shahvazian, E, Mahmoudi, MB, Farashahi Yazd, E, Gharibi, S, Moghimi, B, HosseinNia, P, Mirzaei, M
Biochemical genetics. 2021;(2):574-588
Abstract
The purpose of this study was to scan variants in coding region of Krȕppel like factor14 (KLF14) locus and assess association related to type 2 diabetes (T2D) in Iranian population. We sequenced the coding region of KLF14 to scan variants in case-sibling study (92 individuals with T2D and 92 healthy older siblings). To confirm, we analyzed rs76603546 association with T2D in a larger unrelated case-control study by PCR-RFLP (475 cases and 512 controls). We analyzed the association of rs76603546 with HbA1C, BMI, fat mass, waist circumference, fasting glucose, cholesterol and HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) using one-way ANOVA analysis. Also, association of genotypes with T2D adjusted for confounding variables was analyzed using logistic regression. HaploReg v 4.1 was used to predict rs76603546 possible function. Sequencing results analysis revealed the association of C allele of rs76603546, synonymous variant C>T, [OR 2.10 (1.38-3.20), P value < 0.001] and CC genotype of rs76603546 [OR 4.3 (1.79-10.23), P value = 0.001] with susceptibility to T2D. PCR-Restriction Fragment Length Polymorphism (RFLP) results analysis confirmed the association of rs76603546 with T2D [C allele, OR 1.91 (1.59-2.29), P value = 0.002, CC genotype, OR 3.27 (2.26-4.73), P value = 0.002 and TC genotype, OR 1.74 (1.31-2.31), P value = 0.001]. The CC genotype of rs76603546 is associated with HbA1C level (P value < 0.001) and BMI (P value = 0.02). After adjustment with confounding variables, we observed association of CC genotype with T2D [OR 2.542 (1.25-3.77), P value = 0.03]. Among over 220 SNPs, rs76603546 was associated with T2D, HbA1C and BMI in our study.
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Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures.
Li, T, Quan, H, Zhang, H, Lin, L, Lin, L, Ou, Q, Chen, K
Scientific reports. 2021;(1):6062
Abstract
Men and women are sexually dimorphic but whether common anthropometric and biochemical parameters predict type 2 diabetes (T2D) in different ways has not been well studied. Here we recruit 1579 participants in Hainan Province, China, and group them by sex. We compared the prediction power of common parameters of T2D in two sexes by association, regression, and Receiver Operating Characteristic (ROC) analysis. HbA1c is associated with FPG stronger in women than in men and the regression coefficient is higher, consistent with higher prediction power for T2D. Age, waist circumference, BMI, systolic and diastolic blood pressure, triglyceride levels, total cholesterol, LDL, HDL, fasting insulin, and proinsulin levels all predict T2D better in women. Except for diastolic blood pressure, all parameters associate or tend to associate with FPG stronger in women than in men. Except for diastolic blood pressure and fasting proinsulin, all parameters associate or tend to associate with HbA1c stronger in women than in men. Except for fasting proinsulin and HDL, the regression coefficients of all parameters with FPG and HbA1c were higher in women than in men. Together, by the above anthropometric and biochemical measures, T2D is more readily predicted in women than men, suggesting the importance of sex-based subgroup analysis in T2D research.
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Insulin Secretion Predicts the Response to Antidiabetic Therapy in Patients With New-onset Diabetes.
Abdelgani, S, Puckett, C, Adams, J, Triplitt, C, DeFronzo, RA, Abdul-Ghani, M
The Journal of clinical endocrinology and metabolism. 2021;(12):3497-3504
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CONTEXT The results of the present study demonstrate that beta cell function in newly diagnosed T2DM patients is the key predictor of response to glucose lowering medications and provides a practical tool (C-Pep120 /C-Pep0) to guide the choice of glucose lowering agent. OBJECTIVE This work aims to identify predictors for individualization of antidiabetic therapy in patients with new-onset type 2 diabetes mellitus (T2DM). METHODS A total of 261 drug-naive participants in the Efficacy and Durability of Initial Combination Therapy for Type 2 Diabetes (EDICT) study, with new-onset diabetes, were randomly assigned in a single-center study to receive 1) metformin followed by glipizide and then insulin glargine on failure to achieve glycated hemoglobin A1c (HbA1c) less than 6.5%, or 2) initial triple therapy with metformin/pioglitazone/exenatide. Each patient received a 75-g oral glucose tolerance test (OGTT) prior to start of therapy. Factors that predicted response to therapy were identified using the area under the receiver operating characteristic curve method. RESULTS Thirty-nine patients started and maintained the treatment goal (HbA1c < 6.5%) on metformin only, and did not require intensification of antihyperglycemic therapy; 54 patients required addition of glipizide to metformin; and 47 patients required insulin addition to metformin plus glipizide for glucose control. The plasma C-peptide concentration (C-Pep)120/C-Pep0 ratio during the OGTT was the strongest predictor of response to therapy. Patients with a ratio less than 1.78 were more likely to require insulin for glucose control, whereas patients with a ratio greater than 2.65 were more likely to achieve glucose control with metformin monotherapy. In patients started on initial triple therapy, the HbA1c decreased independently of the C-Pep120/C-Pep0 ratio. CONCLUSION The increase in C-Pep above fasting following glucose load predicts the response to antihyperglycemic therapy in patients with new-onset diabetes. C-Pep120/C-Pep0 provides a useful tool for the individualization of antihyperglycemic therapy in patients with new-onset T2DM.
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Cardiorespiratory Fitness is Associated with Glycated Hemoglobin and Triglyceride Levels in Severely Obese Men: A Retrospective Clinical Data Analysis.
Wilms, B, Keppler, R, Ernst, B, Schmid, SM, Thurnheer, M, Schultes, B
Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association. 2020;(1):15-19
Abstract
BACKGROUND Even subjects with severe obesity show a wide range of metabolic health states, with some showing marked alterations in glucose and lipid metabolism whereas others do not. In severely obese women, we could recently show that the degree of cardiorespiratory fitness is, independently of body mass and age, associated with several markers of glucose and lipid metabolism. AIMS In our retrospective study on a clinical data set, we questioned whether such an association also exists in severely obese men. METHODS Cardiorespiratory fitness, i. e. workload (Wpeak) and oxygen uptake (V̇O2,peak) at peak exercise, was assessed by a bicycle spiroergometry in 133 severely obese men (all BMI>35 kg m-2). The following metabolic blood markers were also measured: Fasting serum glucose, insulin, triglycerides (TG), total, low-, high-density cholesterol (Chol, LDL, HDL), uric acid, and whole blood glycated hemoglobin (HbA1c). The Chol/HDL ratio and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) were also calculated. RESULTS Multiple stepwise linear regression models including age, body mass, and smoking status as independent variables revealed that Wpeak and V̇O2,peak, explained 4.5 to 10.7% of variance in HbA1c and TG (all beta<- 0.22; all p<0.02). Including fat free mass instead of body mass in respective models revealed that both Wpeak and V̇O2,peak were predictors of HbA1c and TG (all beta<- 0.265; all p<0.013), respectively, while Wpeak also accounted for variance in glucose and Chol (both beta<- 0.259; both p<0.023). CONCLUSIONS Similar to previous observations in women, our data indicate that cardiorespiratory fitness assessed by bicycle ergospirometry test is associated with glucose and lipid metabolism in severely obese men. The strength of the found associations suggest a mild to moderate influence of cardiorespiratory fitness on metabolic health in severe obesity.
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Efficacy and Safety of Resveratrol in Type 1 Diabetes Patients: A Two-Month Preliminary Exploratory Trial.
Movahed, A, Raj, P, Nabipour, I, Mahmoodi, M, Ostovar, A, Kalantarhormozi, M, Netticadan, T
Nutrients. 2020;(1)
Abstract
Resveratrol has been reported to be beneficial against diabetes complications. The objective of this study was to evaluate the efficacy of resveratrol in decreasing hyperglycemia in patients with type 1 diabetes (T1D) by a preliminary investigation designed as an exploratory clinical trial. Thirteen patients with T1D from both the sexes participated in this trial. All patients received resveratrol in 500 mg capsules, twice daily for 60 days. Bodyweight, fasting blood sugar (FBS), hemoglobin A1c (HbA1c), insulin, homeostasis model of assessment for insulin resistance (HOMA-IR), homeostasis model of assessment for β-cell function (HOMA-β), and markers of liver and kidney damage, inflammation, and oxidative stress were measured before the intervention, at 30 days and at 60 days. Resveratrol supplementation for 60 days significantly decreased FBS and HbA1c in comparison with the baseline values. Resveratrol treatment also resulted in a decrease in the level of a marker for oxidative stress, malondialdehyde, and an increase in total antioxidant capacity in T1D patients. Insulin, HOMA-IR, HOMA-β, and markers of liver and kidney function and inflammation were not significantly affected by resveratrol treatment. Overall, the results showed that 60 days of resveratrol supplementation exerted strong antidiabetic and antioxidant effects in patients with T1D.
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Implications of the Hemoglobin Glycation Index on the Diagnosis of Prediabetes and Diabetes.
Hsia, DS, Rasouli, N, Pittas, AG, Lary, CW, Peters, A, Lewis, MR, Kashyap, SR, Johnson, KC, LeBlanc, ES, Phillips, LS, et al
The Journal of clinical endocrinology and metabolism. 2020;(3):e130-8
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OBJECTIVE Fasting plasma glucose (FPG), 2-hour plasma glucose (2hPG) from a 75-g oral glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) can lead to different results when diagnosing prediabetes and diabetes. The Hemoglobin Glycation Index (HGI) quantifies the interindividual variation in glycation resulting in discrepancies between FPG and HbA1c. We used data from the Vitamin D and Type 2 Diabetes (D2d) study to calculate HGI, to identify HGI-associated variables, and to determine how HGI affects prediabetes and diabetes diagnosis. MEASUREMENTS A linear regression equation [HbA1c (%) = 0.0164 × FPG (mg/dL) + 4.2] was derived using the screening cohort (n = 6829) and applied to calculate predicted HbA1c. This was subtracted from the observed HbA1c to determine HGI in the baseline cohort with 2hPG data (n = 3945). Baseline variables plus prediabetes and diabetes diagnosis by FPG, HbA1c, and 2hPG were compared among low, moderate, and high HGI subgroups. RESULTS The proportion of women and Black/African American individuals increased from low to high HGI subgroups. Mean FPG decreased and mean HbA1c increased from low to high HGI subgroups, consistent with the HGI calculation; however, mean 2hPG was not significantly different among HGI subgroups. CONCLUSIONS High HGI was associated with Black race and female sex as reported previously. The observation that 2hPG was not different across HGI subgroups suggests that variation in postprandial glucose is not a significant source of population variation in HGI. Exclusive use of HbA1c for diagnosis will classify more Black individuals and women as having prediabetes compared with using FPG or 2hPG.
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Risk Factor Control and Cardiovascular Event Risk in People With Type 2 Diabetes in Primary and Secondary Prevention Settings.
Wright, AK, Suarez-Ortegon, MF, Read, SH, Kontopantelis, E, Buchan, I, Emsley, R, Sattar, N, Ashcroft, DM, Wild, SH, Rutter, MK
Circulation. 2020;(20):1925-1936
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BACKGROUND To examine the association between the degree of risk factor control and cardiovascular disease (CVD) risk in type 2 diabetes and to assess if the presence of cardio-renal disease modifies these relationships. METHODS A retrospective cohort study using data from English practices from CPRD GOLD (Clinical Practice Research Datalink) and the SCI-Diabetes dataset (Scottish Care Information-Diabetes), with linkage to hospital and mortality data. We identified 101 749 with type 2 diabetes (T2D) in CPRD matched with 378 938 controls without diabetes and 330 892 with type 2 diabetes in SCI-Diabetes between 2006 and 2015. The main exposure was number of optimized risk factors: nonsmoker, total cholesterol ≤4 mmol/L, triglycerides ≤1.7 mmol/L, glycated haemoglobin (HbA1c) ≤53 mmol/mol (≤7.0%), systolic blood pressure <140mm Hg, or <130 mm Hg if high risk. Cox models were used to assess cardiovascular risk associated with levels of risk factor control. RESULTS In CPRD, the mean baseline age in T2D was 63 years and 28% had cardio-renal disease (SCI-Diabetes: 62 years; 35% cardio-renal disease). Over 3 years follow-up (SCI-Diabetes: 6 years), CVD events occurred among 27 900 (27%) CPRD-T2D, 101 362 (31%) SCI-Diabetes-T2D, and 75 520 (19%) CPRD-controls. In CPRD, compared with controls, T2D participants with optimal risk factor control (all risk factors controlled) had a higher risk of CVD events (adjusted hazard ratio, 1.21; 95% confidence interval, 1.12-1.29). In T2D participants from CPRD and SCI-Diabetes, pooled hazard ratios for CVD associated with 5 risk factors being elevated versus optimal risk factor control were 1.09 (95% confidence interval, 1.01-1.17) in people with cardio-renal disease but 1.96 (95% confidence interval, 1.82-2.12) in people without cardio-renal disease. People without cardio-renal disease were younger and more likely to have likely to have suboptimal risk factor control but had fewer prescriptions for risk factor modifying medications than those with cardio-renal disease. CONCLUSIONS Optimally managed people with T2D have a 21% higher CVD risk when compared with controls. People with T2D without cardio-renal disease would be predicted to benefit greatly from CVD risk factor intervention.