BACKGROUND: Presence of macro- and microvascular complications in patients with diabetes mellitus (DM) is not only related to chronic hyperglycemia represented by glycated hemoglobin (HbA1c) but also to acute glycemic fluctuations (glycemic variability, GV). The association between GV and DM complications is not completely clear. Aim of our study was to evaluate GV by MAGE index in patients with type 2 DM and to verify association of MAGE index with presence of macro- and microvascular DM complications. METHODS: 99 patients with type 2 DM were included in the study. Every patient had done big glycemic profile, from which MAGE index was calculated. Anthropometric measurements, evaluation of HbA1c and fasting plasma glucose (FPG) and assessment for macrovascular (coronary artery disease - CAD; peripheral artery disease - PAD; cerebral stroke - CS) and microvascular (diabetic retinopathy - DR; nephropathy - DN; peripheral neuropathy - DPPN) DM complications were done. RESULTS: Average MAGE index value was 5.15 ± 2.88 mmol/l. We found no significant differences in MAGE index values in subgroups according to presence of neither CAD, CS, PAD nor DR, DN, DPPN. MAGE index value significantly positively correlated with FPG (p < 0.01) and HbA1c (p < 0.001) and negatively with weight (p < 0.05). CONCLUSION: In our study we failed to show association of MAGE index with presence of macrovascular and microvascular complications in patients with type 2 DM. However, this negative result does not necessarily disprove importance of glycemic variability in pathogenesis of diabetic complications.

• Klíčová slova
• MAGE index, diabetes mellitus complications, glycemic variability,
• MeSH
• analýza rozptylu MeSH
• diabetes mellitus 2. typu krev   diagnóza   MeSH
• diabetické angiopatie diagnóza   epidemiologie   MeSH
• glykemický index * MeSH
• glykovaný hemoglobin analýza   MeSH
• hodnocení rizik MeSH
• incidence MeSH
• kohortové studie MeSH
• krevní glukóza analýza   MeSH
• lidé středního věku MeSH
• lidé MeSH
• následné studie MeSH
• retrospektivní studie MeSH
• rozložení podle pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• stupeň závažnosti nemoci MeSH
• věkové rozložení MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• glykovaný hemoglobin MeSH
• krevní glukóza MeSH

BACKGROUND: Increased glycemic variability (GV) may be associated with diabetes complications. Our study assessed the relationship between microvascular complications (MVCs) and GV calculated from continuous glucose monitoring (CGM) data in type 1 diabetes patients. SUBJECTS AND METHODS: Thirty-two patients with type 1 diabetes (16 with and 16 without MVC) participated in this cross-sectional study. Vibration perception threshold (VPT), microalbuminuria, and fundoscopy were used to detect MVC. CGM data were recorded for 2 weeks and analyzed using proprietary software. Total SD (SDT), coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE) were compared. RESULTS: Patients with any MVC had significantly higher GV, calculated from CGM, than patients without MVC (SDT, 4.1 ± 0.6 vs. 3.4 ± 0.8 mmol/L [P = 0.010]; CV, 0.43 ± 0.06 vs. 0.38 ± 0.08 [P = 0.032]; MAGE, 6.9 ± 1.2 vs. 5.9 ± 1.2 mmol/L [P = 0.014]) but comparable glycated hemoglobin (HbA1c) (70 ± 9 vs. 69 ± 10 mmol/mol [8.6 ± 0.8% vs. 8.5 ± 0.9%], difference not significant). No significant difference in GV was found between the two groups when using only self-monitored blood glucose (SMBG) data. A positive association was found between VPT and SDT in all patients (r = 0.51, P = 0.0026). CONCLUSIONS: Patients with type 1 diabetes and any MVC had significantly higher GV calculated from CGM, but not from SMBG, than patients with comparable glycemic control but without complications. This supports the hypothesis that increased GV might be associated with MVC in type 1 diabetes and that HbA1c may not describe diabetes control completely.

• MeSH
• albuminurie MeSH
• ambulantní monitorování metody   MeSH
• analýza rozptylu MeSH
• biologické markery krev   MeSH
• diabetes mellitus 1. typu krev   komplikace   patofyziologie   MeSH
• diabetické angiopatie krev   etiologie   patofyziologie   MeSH
• dospělí MeSH
• glykovaný hemoglobin metabolismus   MeSH
• hodnocení rizik MeSH
• krevní glukóza metabolismus   MeSH
• lidé středního věku MeSH
• lidé MeSH
• odds ratio MeSH
• prediktivní hodnota testů MeSH
• průřezové studie MeSH
• selfmonitoring glykemie MeSH
• vibrace MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• biologické markery MeSH
• glykovaný hemoglobin MeSH
• hemoglobin A1c protein, human MeSH Prohlížeč
• krevní glukóza MeSH

BACKGROUND: The glycemic index (GI) is a measure of the ability of a food to raise glucose levels after it is eaten. Continuous glucose monitoring (CGM) has been shown to give identical values of GI when compared to traditional methods. However, there has been no standardized protocol for measuring GI that takes into account interindividual variability and chronophysiological glycemic response to food. Our aim was (1) to create and describe software based on a Microsoft Excel 2000 spreadsheet to facilitate rapid, automated, accurate, and standardized processing of data obtained using recent CGM methodology to measure GI and its variability and (2) to assess the benefits of this new approach. METHOD: Twenty healthy subjects consumed 50 grams of glucose or four alternative foodstuffs (chocolate, apple baby food, rice squares, or yogurt) at breakfast and dinner during 1 week, resulting in 300 CGMS glucose profiles; 92% of meal tests were satisfactory for evaluation. Application and functions of the software DegifXL are described. RESULTS: Using the new spreadsheet software DegifXL, time required for data processing for the 15 data sets for each subject was reduced from 2000 to 160 minutes relative to previously used manual methods. We characterized the GI for four foodstuffs with three replicate measurements in each of 20 subjects and evaluated between person, between time period, and between replicate GI variabilities. CONCLUSION: DegifXL, combined with CGM, was an efficient and effective tool for routine measurement of group- and subject-related GI.

• Klíčová slova
• DegifXL software, continuous glucose monitoring, data processing, glycemic index, nutrition,
• Publikační typ
• časopisecké články MeSH

OBJECTIVES: Dysglycemia and glycemic variability are associated with poor outcomes in critically ill patients. Targeted temperature management alters blood glucose homeostasis. We investigated the association between blood glucose concentrations and glycemic variability and the neurologic outcomes of patients randomized to targeted temperature management at 33°C or 36°C after cardiac arrest. DESIGN: Post hoc analysis of the multicenter TTM-trial. Primary outcome of this analysis was neurologic outcome after 6 months, referred to as "Cerebral Performance Category." SETTING: Thirty-six sites in Europe and Australia. PATIENTS: All 939 patients with out-of-hospital cardiac arrest of presumed cardiac cause that had been included in the TTM-trial. INTERVENTIONS: Targeted temperature management at 33°C or 36°C. MEASUREMENTS AND MAIN RESULTS: Nonparametric tests as well as multiple logistic regression and mixed effects logistic regression models were used. Median glucose concentrations on hospital admission differed significantly between Cerebral Performance Category outcomes (p < 0.0001). Hyper- and hypoglycemia were associated with poor neurologic outcome (p = 0.001 and p = 0.054). In the multiple logistic regression models, the median glycemic level was an independent predictor of poor Cerebral Performance Category (Cerebral Performance Category, 3-5) with an odds ratio (OR) of 1.13 in the adjusted model (p = 0.008; 95% CI, 1.03-1.24). It was also a predictor in the mixed model, which served as a sensitivity analysis to adjust for the multiple time points. The proportion of hyperglycemia was higher in the 33°C group compared with the 36°C group. CONCLUSION: Higher blood glucose levels at admission and during the first 36 hours, and higher glycemic variability, were associated with poor neurologic outcome and death. More patients in the 33°C treatment arm had hyperglycemia.

• MeSH
• časové faktory MeSH
• Glasgowská stupnice následků MeSH
• hyperglykemie patofyziologie   MeSH
• hypoglykemie patofyziologie   MeSH
• kardiopulmonální resuscitace metody   MeSH
• krevní glukóza fyziologie   MeSH
• lidé MeSH
• tělesná teplota * MeSH
• terapeutická hypotermie metody   MeSH
• zástava srdce mimo nemocnici mortalita   patofyziologie   terapie   MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH
• randomizované kontrolované studie MeSH
• Názvy látek
• krevní glukóza MeSH

Vascular complications of diabetes result from long lasting unsatisfactory glycemic control. We usually assess glycemic control based on the value of glycated hemoglobin HbA1c. The glycated hemoglobin test, however, says nothing about short-term glycemic fluctuations. Recently, continuous monitoring of glycemia has enabled us an in-depth assessment of changes in glucose concentrations, called glycemic variability. Together with the research of short-term glycemic variability, also the study of long-term fluctuations in glycemic control based on HbA1c variability has now intensified. Glycemic variability may be related to oxidation stress, endothelial dysfunction and inflammation, the factors traditionally associated with vascular damage. This overview summarizes the recent findings in the field of glycemic variability and its possible association with microvascular complications in patients with type 1 and type 2 diabetes.Key words: glycemic variability, HbA1c variability, microvascular complications, type 1 and type 2 diabetes mellitus.

• MeSH
• diabetes mellitus 2. typu * komplikace   MeSH
• glykovaný hemoglobin MeSH
• kardiovaskulární nemoci * etiologie   MeSH
• komplikace diabetu * MeSH
• krevní glukóza * metabolismus   MeSH
• lidé MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• glykovaný hemoglobin MeSH
• krevní glukóza * MeSH

Parallel glucose measurements in blood and other different tissues give us knowledge about dynamics of glycemia changes, which depend on vascularization, distribution space and local utilization by tissues. Such information is important for the understanding of glucose homeostasis and regulation. The aim of our study was to determine the time-lag between blood, brain, and adipose tissue during rapid glucose changes in a male hHTG rat (n=15). The CGMS sensor Guardian RT (Minimed/Medtronic, USA) was inserted into the brain and into the abdominal subcutaneous tissue. Fixed insulin and variable rate of glucose infusion was used to maintain euglycemia during sensor calibration period. At 0 min, 0.5 g/kg of bolus of glucose was administered, and at 50 min, 5 IU/kg of bolus of insulin was administered. Further glucose and insulin infusion was stopped at this time. The experiment was finished at 130 min and animals were euthanized. The time-shift between glycemia changes in blood, brain, and subcutaneous tissue was calculated by identification of the ideal correlation function. Moreover, the time to achieve 90 % of the maximum glucose excursion after intervention (T90) was measured to compare our data with the literature. The time-lag blood vs. brain and blood vs. subcutaneous tissue was 10 (10; 15) min and 15 (15; 25) min, respectively. The difference was statistically significant (P=0.01). T90 after glucose bolus in brain and subcutaneous tissue was 10 min (8.75; 15) and 15 min (13.75; 21.25), respectively. T90 after insulin bolus in brain and subcutaneous tissue was 10 min (10; 15) and 20 min (20; 27.5), respectively. To the contrary, with literature, our results showed earlier glucose level changes in brain in comparison with subcutaneous tissue after glucose and insulin boluses. Our results suggest that glucose dynamics is different within monitored tissues under rapid changing glucose level and we can expect similar behavior in humans. Improved knowledge about glucose distribution and dynamics is important for avoiding hypoglycemia.

• MeSH
• glykemický index fyziologie   MeSH
• hypertriglyceridemie krev   diagnóza   genetika   MeSH
• krevní glukóza metabolismus   MeSH
• krysa rodu Rattus MeSH
• monitorování fyziologických funkcí metody   trendy   MeSH
• mozek metabolismus   MeSH
• potkani Wistar MeSH
• subkutánní tkáň metabolismus   MeSH
• zvířata MeSH
• Check Tag
• krysa rodu Rattus MeSH
• mužské pohlaví MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• krevní glukóza MeSH

Blood glucose levels are not constant in ther human body even in physiological status. It fluctuates depending on food intake, exercise, psychological and other factors. Normally it fluctuates between 3.9 to 7.5 mmol/l and in fasting in the standard conditions it does not exceed even more narrow range 3.9 to 5.5 mmol/l. Fluctuations are more pronounced in patient with diabetes. Hyperglycemia is a common and basic pathology in diabetes, however, antidiabetic drug often cause hypoglycemia, both increasing the range for glucose fluctuations. The level of glucose fluctuation is called glycemic variability (GV). Glycemic variability is now a favorite target of scientific research in dia-betology. Increased glycemic variability is associated with hypoglycemia, possibly may contribute to chronic dia-betes complications and negatively influences quality of life of diabetic patients. Last but not least, thanks to the new technology of continuous glucose monitoring, we can better describe and measure it. Finally, glycemic variability emerges as a potentially important therapeutical target.Key words: continuous glucose monitoring - glycemic variability - insulin pump - sensor augmented pump.

• Publikační typ
• anglický abstrakt MeSH
• časopisecké články MeSH

AIMS: Residual beta cell function in type 1 diabetes (T1D) is associated with lower risk of complications. Autoantigen therapy with GAD-alum (Diamyd) given in 3 intralymphatic injections with oral vitamin D has shown promising results in persons with T1D carrying the human leukocyte antigen (HLA) DR3-DQ2 haplotype in the phase 2b trial DIAGNODE-2. We aimed to explore the efficacy of intralymphatic GAD-alum on blood glucose recorded by continuous glucose monitoring (CGM). METHODS: DIAGNODE-2 (NCT03345004) was a multicenter, randomized, placebo-controlled, double-blind trial of 109 recent-onset T1D patients aged 12 to 24 years with GAD65 antibodies and fasting C-peptide > 0.12 nmol/L, which randomized patients to 3 intralymphatic injections of 4 μg GAD-alum and oral vitamin D, or placebo. We report results for exploratory endpoints assessed by 14-day CGM at months 0, 6, and 15. Treatment arms were compared by mixed-effects models for repeated measures adjusting for baseline values. RESULTS: We included 98 patients with CGM recordings of sufficient quality (DR3-DQ2-positive patients: 27 GAD-alum-treated and 15 placebo-treated). In DR3-DQ2-positive patients, percent of time in range (TIR, 3.9-10 mmol/L) declined less between baseline and month 15 in GAD-alum-treated compared with placebo-treated patients (-5.1% and -16.7%, respectively; P = 0.0075), with reduced time > 13.9 mmol/L (P = 0.0036), and significant benefits on the glucose management indicator (P = 0.0025). No differences were detected for hypoglycemia. GAD-alum compared to placebo lowered the increase in glycemic variability (standard deviation) observed in both groups (P = 0.0219). Change in C-peptide was correlated with the change in TIR. CONCLUSIONS: Intralymphatic GAD-alum improves glycemic control in recently diagnosed T1D patients carrying HLA DR3-DQ2.

• Klíčová slova
• C-peptide, Diamyd, GAD-alum, GAD65, HLA DR3-DQ2, HbA1c, antigen-specific immune therapy, continuous glucose monitoring, type 1 diabetes,
• MeSH
• C-peptid MeSH
• diabetes mellitus 1. typu * MeSH
• dítě MeSH
• glutamát dekarboxyláza MeSH
• HLA-DR3 antigen MeSH
• kamencové sloučeniny MeSH
• krevní glukóza MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• regulace glykemie MeSH
• selfmonitoring glykemie MeSH
• vitamin D terapeutické užití   MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH
• práce podpořená grantem MeSH
• randomizované kontrolované studie MeSH
• Názvy látek
• aluminum sulfate MeSH Prohlížeč
• C-peptid MeSH
• glutamát dekarboxyláza MeSH
• HLA-DR3 antigen MeSH
• kamencové sloučeniny MeSH
• krevní glukóza MeSH
• vitamin D MeSH

Vascular complications of diabetes result from long lasting unsatisfactory glycemic control. We usually assess glycemic control based on the value of glycated hemoglobin HbA1c. The glycated hemoglobin test, however, says nothing about short-term glycemic fluctuations. Recently, continuous monitoring of glycemia has enabled us an in-depth assessment of changes in glucose concentrations, called glycemic variability. In connection with the research into short-term glycemic variability, also the study of long-term fluctuations in glycemic control based on HbA1c variability has now intensified. Glycemic variability may be related to oxidation stress, endothelial dysfunction and inflammation, the factors traditionally associated with vascular damage. Several studies have described the relation of glycemic variability to macrovascular complications of diabetes, still its relation to microvascular complications remains unclear. This overview summarizes the recent findings in the field of glycemic variability and its possible association with retinopathy, nephropathy and neuropathy.Key words: type 1 and 2 diabetes mellitus - glycemic variability - microvascular complications - HbA1c - variability.

• MeSH
• diabetes mellitus krev   MeSH
• diabetické angiopatie krev   MeSH
• glykovaný hemoglobin analýza   MeSH
• krevní glukóza * MeSH
• lidé MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH
• Názvy látek
• glykovaný hemoglobin MeSH
• krevní glukóza * MeSH

BACKGROUND: A high dietary protein (P) content and low glycemic index (LGI) have been suggested to be beneficial for weight management, but long-term studies are scarce. OBJECTIVE: The DIOGENES randomized clinical trial investigated the effect of P and GI on weight loss maintenance in overweight or obese adults in eight centers across Europe. This study reports the 1-year results in two of the centers that extended the intervention to 1 year. METHOD: After an 8-week low-calorie diet (LCD), 256 adults (body mass index >27 kg m(-)(2)) were randomized to five ad libitum diets for 12 months: high P/LGI (HP/LGI), HP/high GI (HP/HGI), low P/LGI (LP/LGI), LP/HGI and a control diet. During the first 6 months, foods were provided for free through a shop system and during the whole 12-month period, subjects received guidance by a dietician. Primary outcome variable was the change in body weight over the 12-month intervention period. RESULTS: During the LCD period, subjects lost 11.2 (10.8, 12.0) kg (mean (95% confidence interval (CI))). Average weight regain over the 12-month intervention period was 3.9 (95% CI 3.0-4.8) kg. Subjects on the HP diets regained less weight than subjects on the LP diets. The difference in weight regain after 1 year was 2.0 (0.4, 3.6) kg (P=0.017) (completers analysis, N=139) or 2.8 (1.4, 4.1) kg (P<0.001) (intention-to-treat analysis, N=256). No consistent effect of GI on weight regain was found. There were no clinically relevant differences in changes in cardiometabolic risk factors among diet groups. CONCLUSION: A higher protein content of an ad libitum diet improves weight loss maintenance in overweight and obese adults over 12 months.

• MeSH
• adherence pacienta MeSH
• běloši * MeSH
• časové faktory MeSH
• dietní proteiny aplikace a dávkování   MeSH
• dietní sacharidy aplikace a dávkování   MeSH
• dospělí MeSH
• energetický příjem MeSH
• glukózový toleranční test MeSH
• glykemický index * MeSH
• hmotnostní přírůstek * MeSH
• hmotnostní úbytek * MeSH
• index tělesné hmotnosti MeSH
• kalorická restrikce MeSH
• lidé MeSH
• nízkoproteinová dieta MeSH
• obezita prevence a kontrola   terapie   MeSH
• obvod pasu MeSH
• redukční dieta * MeSH
• rodina MeSH
• tělesná hmotnost MeSH
• výživa - přehledy MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH
• práce podpořená grantem MeSH
• randomizované kontrolované studie MeSH
• Geografické názvy
• Evropa epidemiologie   MeSH
• Názvy látek
• dietní proteiny MeSH
• dietní sacharidy MeSH