Mean Amplitude Of Glycemic Excursions Research Articles

Short-term exercise training reduces glycaemic variability and lowers circulating endothelial microparticles in overweight and obese women at elevated risk of type 2 diabetes

Exercise is recognized as a frontline therapy for the prevention and treatment of type 2 diabetes (T2D) but the optimal type of exercise is not yet determined. We compared the effects of high-intensity interval training (HIIT) with moderate-intensity continuous training (MICT) for improvement of continuous glucose monitoring (CGM)-derived markers of glycaemic variability, and biomarkers of endothelial cell damage (CD31+ and CD62+ endothelial microparticles (EMPs)) within a population at elevated risk of developing T2D. Fifteen inactive overweight or obese women were randomized to 2 weeks (10-sessions) of progressive HIIT (n = 8, 4–10X 1-min @ ∼90% peak heart rate, 1-min rest periods) or MICT (n = 7, 20–50 min of continuous activity at ∼65% peak heart rate). Prior and three days post-training, fasting blood samples were collected. Both HIIT and MICT improved glycaemic variability as measured by CGM standard deviation (HIIT: 0.82 ± 0.39 vs. 0.72 ± 0.33 mmol/L; MICT: 0.82 ± 0.19 vs. 0.62 ± 0.16 mmol/L, pre vs. post) and mean amplitude of glycaemic excursions (MAGE; HIIT: 1.98 ± 0.81 vs. 1.41 ± 0.90; MICT; 1.98 ± 0.43 vs. 1.65 ± 0.48, pre vs. post) with no difference between groups. CD62+ EMPs were lower following HIIT (187.7 ± 65 vs. 174.9 ± 55, pre vs. post) and MICT (170 ± 60 vs. 160.3 ± 59, pre vs. post) with no difference between groups. There was no change in 24-h mean glucose or CD31+ EMPs. Two weeks of both HIIT or MICT similarly decreased glycaemic variability and CD62+ EMPs in overweight/obese women at elevated risk of T2D.

The impact of intraday glucose variability on coronary artery spasm in patients with dysglycemia.

Impaired glucose metabolism is associated with an increased risk of cardiovascular complications, and coronary artery spasm is thought to underlie the development of coronary artery disease. Intraday glucose variability (GV) accelerates oxidative stress and inflammatory cytokine release, but its impact on coronary artery spasm remains unclear. This study investigated the relationship between intraday GV and coronary artery spasm. The study included 50 patients with dysglycemia and suspected coronary spastic angina. GV was analyzed by 24-h monitoring of the blood glucose concentration using a flash glucose monitoring system. The mean amplitude of glycemic excursion (MAGE) was calculated as an index of GV. Coronary artery spasm was assessed using the intracoronary acetylcholine provocation test. Coronary spasm was defined as acetylcholine-induced total or subtotal coronary occlusion. Changes in vessel diameter in response to acetylcholine were evaluated with quantitative coronary angiography. Coronary artery spasms were observed in 21 patients (42%). MAGE was significantly higher in patients with spasms compared to those without spasms (127.5 ± 33.5 vs. 91.4 ± 37.6, p < 0.01). Regression analysis showed a positive correlation between MAGE levels and coronary diameter changes induced by acetylcholine (r = 0.47, p < 0.01). In multiple regression analysis, MAGE was independently associated with acetylcholine-induced coronary diameter change (β = 0.47, p < 0.01). Intraday GV was associated with coronary artery spasm in patients with dysglycemia.

Breakfast replacement with a liquid formula improves glycaemic variability in patients with type 2 diabetes: a randomised clinical trial.

There is emerging evidence that glycaemic variability (GV) plays an important role in the development of diabetic complications. The current study aimed to compare the effects of lifestyle intervention (LI) with and without partial meal replacement (MR) on GV. A total of 123 patients with newly diagnosed and untreated type 2 diabetes (T2D) were randomised to receive either LI together with breakfast replacement with a liquid formula (LI+MR) (n 62) or LI alone (n 61) for 4 weeks and completed the study. Each participant was instructed to have three main meals per d and underwent 72-h continuous glucose monitoring (CGM) both before and after intervention. Measures of GV assessed by CGM included the incremental AUC of postprandial blood glucose (AUCpp), standard deviation of blood glucose (SDBG), glucose CV and mean amplitude of glycaemic excursions (MAGE). After a 4-week intervention, the improvements in systolic blood pressure (P=0·046) and time in range (P=0·033) were more pronounced in the LI+MR group than in the LI group. Furthermore, LI+MR caused significantly greater improvements in all GV metrics including SDBG (P=0·005), CV (P=0·002), MAGE (P=0·016) and AUCpp (P<0·001) than did LI. LI+MR (v. LI) was independently associated with improvements in GV after adjustment of covariates (all P<0·05). Our study showed that LI+MR led to significantly greater improvements in GV compared with LI, suggesting that LI+MR could be an effective treatment to alleviate glucose excursions.

Difference of Glucose variability between Low Carbohydrate Diet (LCD) and Calorie Restriction (CR)

Background: There have been lots of discussion and controversy concerning the difference between Low Carbohydrate Diet (LCD) and Calorie Restriction (CR). The important points include glucose variability, glucose-lowering effect, weight reduction degree and influence on lipid metabolism. Subjects and Methods: Enrolled subjects were 47 patients with T2DM. Methods included the study for providing subjects CR meal with 60% carbohydrate on day 1-2 and LCD meal with 12% on day 3-14. Daily profile of blood glucose was studied seven times a day on day 2 and day 4. Further, biomarkers including HbA1c, average blood glucose, and M value were investigated and analyzed for mutual correlations. Results: Subjects were categorized into 4 groups according to the average glucose value, which were 124mg/dL, 160mg/dL, 206mg/dL, and 281mg/dL, respectively. Data in 4 groups were as follows: Number; 12,12,12,11, Male/Female; 6/6, 3/9, 6/6, 5/6, mean age; 51.3, 60.9, 65.3, 60.6 years old, HbA1c; 6.1%, 7.1%, 8.0%, 8.9%, fasting glucose on day 2; 109 mg/dL, 136 mg/dL, 178 mg/dL, 224mg/dL, respectively. Daily profiles of blood glucose in 4 groups on day 4 were remarkably decreased than those of day 2. The levels of M value indicating average blood glucose and mean amplitude of glycemic excursions (MAGE) on day 2 vs 4 were compared in 4 groups, which are 7.1 vs 10.5, 39.7 vs 5.0, 139 vs 15.7, 367 vs88, respectively. Correlations among HbA1c, M value and average blood glucose showed significant correlations (p&lt;0.01). Discussion and Conclusion: Obtained results showed that the distribution of daily profile of blood glucose in 4 groups is separated. Further similar tendency was observed in HbA1c and M value.

Enhancement of postprandial endogenous insulin secretion rather than exogenous insulin injection ameliorated insulin antibody-induced unstable diabetes: a case report

BackgroundInsulin injection, especially with insulin analogs, occasionally induces the production of insulin antibodies with high binding capacity and low affinity, similar to the insulin autoantibodies characteristic of insulin autoimmune syndrome (IAS). Production of these “IAS-like” insulin antibodies causes marked glycemic fluctuations with postprandial hyperglycemia and fasting hypoglycemia.Case presentationA 66-year-old man with a 27-year history of diabetes was admitted because of marked glycemic fluctuations. Human insulin treatment had been initiated at age 56, followed by multiple daily injections of insulin analogs 5 years later. After the initial year of insulin analog treatment, the patient began to experience frequent morning hypoglycemic attacks and day-time hyperglycemia. Marked hyperinsulinemia (4500 μU/mL) and high titers of insulin antibodies (80.4%) with high binding capacity and low affinity indicated that IAS-like insulin antibodies were causing severe glucose fluctuations. Altering insulin formulations (insulin aspart → regular human insulin→ insulin lispro) proved to be ineffective. After several therapeutic trials, cessation of exogenous insulin and addition of mitiglinide to liraglutide with voglibose finally attenuated glycemic fluctuations with increased postprandial insulin secretion. Continuous glucose monitoring revealed improvement of morning hypoglycemia and postprandial hyperglycemia with smaller mean amplitude of glycemic excursion. Therefore, compared to exogenously injected insulin, endogenously secreted insulin directly and rapidly acts on hepatocytes and suppresses postprandial glucose output.ConclusionsProper enhancement of postprandial endogenous insulin aimed at suppressing postprandial glucose output without stimulating excessive glucose uptake in the periphery is potentially useful for treating diabetes with insulin antibody-induced glycemic instability.

Effect of Dulaglutide Versus Liraglutide on Glucose Variability, Oxidative Stress, and Endothelial Function in Type 2 Diabetes: A Prospective Study.

IntroductionTo compare the effect of dulaglutide and liraglutide on oxidative stress and endothelial function in patients with type 2 diabetes mellitus (T2DM).MethodsTwenty-two patients with T2DM who received treatment with liraglutide for at least 12 weeks were randomized to either continue liraglutide or receive dulaglutide for 24 weeks. The primary end points were changes in the diacron-reactive oxygen metabolite (d-ROMs) test, as a marker of oxidative stress, and endothelial function, as determined by the reactive hyperemia index (RHI). The secondary end points were changes in body weight (BW), glucose variability, diabetes treatment satisfaction questionnaire (DTSQ) score, and eating behavior.ResultsThere were no significant differences in changes in d-ROMs and logarithmic-scaled RHI (L-RHI) between the two groups after 24 weeks of treatment. Notably, the treatment with dulaglutide was superior to that with liraglutide in terms of mean glucose levels and mean amplitude of glycemic excursions following the 24-week treatment. However, in this regard, the outcome following the treatment with dulaglutide was maintained, whereas that with the treatment with liraglutide was aggravating. The DTSQ score for “convenience” improved in the dulaglutide group. No statistically significant changes in fasting plasma glucose, hemoglobin A1c, and BW were observed between the two groups.ConclusionWe showed that once-weekly dulaglutide was comparable to once-daily liraglutide in terms of oxidative stress and endothelial function. Switching from liraglutide to dulaglutide improved convenience by decreasing the number of injections without deteriorating glucose metabolism.Trial RegistrationThis trial was registered with the University Hospital Medical Information Network (UMIN no. 000034353) on 10 October 2018.Electronic Supplementary MaterialThe online version of this article (10.1007/s13300-018-0560-8) contains supplementary material, which is available to authorized users.

Efficacy Comparison of Preprandial and Postprandial Prandilin 25 Administration in Patients with Newly Diagnosed Type 2 Diabetes Using a Continuous Glucose Monitoring System.

IntroductionThe aim of this study was to determine the clinical efficacy of preprandial and postprandial Prandilin 25 (premixed insulin lispro 25) administration in patients with newly diagnosed type 2 diabetes mellitus (T2DM) using a continuous glucose monitoring (CGM) system.MethodsThis was a single-center, self-controlled comparative clinical trial. Newly diagnosed T2DM patients with hemoglobin A1c > 8.0% were hospitalized and received Prandilin 25 plus metformin treatment. Glycemic control was reached after a 7-to-8-day run-in period. Patients underwent 2 days of treatment consisting of preprandial Prandilin 25 on day 1 and postprandial Prandilin 25 on day 2 at the same dosage. The primary outcome was the 24-h mean amplitude of glycemic excursion (24 hMAGE); secondary outcomes were other daily glycemic variability parameters, including 24-h mean blood glucose (24hMBG), 24-h standard deviation of blood glucose (24hSDBG), large amplitude of glycemic excursion (LAGE), incremental area under the curve (AUC) values for different glucose levels, postprandial glucose excursion, and incidence of hypoglycemia, which were assessed using a CGM system.ResultsEighty-five patients completed this study. There was no statistically significant difference in 24hMAGE, 24hMBG, 24hSDBG, or LAGE between the preprandial injection group and the postprandial injection group. Similarly, there was no between-treatment difference in the AUC for a blood glucose level below 3.9 mmol/L, in the AUC for a blood glucose level above 10.0 mmol/L, or in the percentages of time that the blood glucose level was below 3.9 mmol/L or above 10.0 mmol/L. Further analysis showed that the pre-meal glucose, peak height, and time to peak after each meal, the relative areas under the CGM curve at 1–4 h after each meal, as well as the incidence of hypoglycemia, were similar for the preprandial and postprandial Prandilin 25 groups.ConclusionIn patients with T2DM managed with premixed insulin lispro 25, postprandial injection (within 30 min of meal onset) may be an acceptable alternative to preprandial injection when the regular preprandial insulin dose is omitted.Trial RegistrationChinese Clinical Trial Register identifier: ChiCTR1800015828.

Continuous subcutaneous insulin infusion combined with liraglutide reduced glycemic variability and oxidative stress in type 2 diabetes mellitus: a study based on the flash glucose monitoring system.

We aimed to explore the use of the flash glucose monitoring (FGM) system in hospitalized newly diagnosed type 2 diabetes mellitus (T2DM) patients and to evaluate a new combination therapy of continuous subcutaneous insulin infusion (CSII) with or without liraglutide. This was an open-label, randomized study that was conducted in 60 newly diagnosed T2DM patients. The patients were randomized to receive either CSII (n = 30) or CSII + liraglutide (n = 30). The FGM system was used to assess the glycemic control and glycemic variability (GV) indices for 2 weeks. Mean blood glucose concentration (MBG), estimated hemoglobin A1c (HbA1c), and measures of GV, including the standard deviation of the mean glucose (SD), coefficient of variation (CV), interquartile range (IQR), mean amplitude of glycemic excursions (MAGE), largest amplitude of glycemic excursions (LAGE), and mean of daily difference (MODD) were compared between the two groups. Two oxidative stress biomarkers, 4-hydroxynonenal (4-HNE) and 8-hydroxydeoxyguanosine (8-OHdG), were measured before and after treatment. The estimated HbA1c and MBG decreased in both groups, especially the CSII + liraglutide group. SD, IQR, LAGE, and MODD were significantly lower in the CSII + liraglutide group than in the CSII group (all p < 0.05); there was no difference in CV or MAGE (p > 0.05). Similarly, the 4-HNE and 8-OHdG levels were significantly lower in the CSII + liraglutide group (p < 0.05). Our findings suggest that CSII with liraglutide was superior to CSII monotherapy in improving glycemic control and glycemic variability and in decreasing oxidative stress markers. Flash glucose monitoring can successfully provide ambulatory glucose profile data in the real world.

Dulaglutide using once-2 weeks for dialysis type 2 diabetes patients in Japan

Object: Dulaglitide is one of glucagon like peptide-1 receptor agonist. It is ususally used once- 1 week. The efficacy of drug is easy to remain in the patients with impaired renal function. We evaluate the efficiency of once-2 weeks dulaglitide after switching from once-1 week injection in 4 out patients of type 2 diabetes undergoing hemodialysis in Japan. Methods: After changing dulaglutide treatment from once-1 week to once-2 weeks in dialysis type 2 diabetes patients, the effect of glycemic control was evaluated by Glico albumin (GA). And mean blood glucose (mean BS), 24 h Area under the blood concentration-time curve (AUC), AUC>180 and the mean amplitude of glycemic excursions (MAGE) were evaluated by using continuous glucose monitoring (CGM). Results: GA was decrease from 20.3 ± 0.47% to 19.3 ± 0.47% in case 1, from 24.5 ± 0.79% to 22.2 ± 2.18% in case 3, and from 20.3 ± 0.47% to 19.3 ± 0.47% in case 4 after changing of dulaglutide injection from once-1 week to once-2 weeks. CGM was examined in case 4 and case 5. Mean BS, 24 h AUC and AUC>180 were improved in case 4. MAGE and AUC>180 were improved by dulaglutide injection once-1 week to once-2 weeks in case 5. Conclusion: Once-2 weeks dulaglutide treatment is useful for glycemic control in dialysis type2 diabetic patients.

Comparison of glycemic variability, assessed by continuous glucose monitoring system (CGMS) during early post-transplantation period, between the recipients of kidney and liver transplantation

Introduction: Newly developed hyperglycemia and worsening of previously well-controlled glucose levels are common after transplantation because of the stressful conditions and use of immunosuppressive agents including high- or medium-dose glucocorticoids. However, to our knowledge, there are no data showing the degree of glucose fluctuation after transplantation according to the transplanted organ during the early postoperative period in non-diabetic or preexisting diabetic patients. Method: We conducted a retrospective, observational study to characterize the patterns of glucose profiles of transplant patients who underwent kidney or liver transplantation at our hospital between September 2017 and May 2018. Patients to whom a CGMS was attached during a postoperative period of approximately one month after transplantation were included. The CGM data of 31 patients including 24 with kidney transplantation (KT) and seven with liver transplantation (LT) were analyzed. Result: Post-transplantation diabetes mellitus (PTDM) occurred in 42.1% (8/19) and 16.7% (1/6) of KT and LT patients, respectively, during this early period after transplantation, except for patients with preexisting diabetes (5 KT, 1 LT). Glycemic variability after LT was better than that in KT patients. The average mean amplitude of glycemic excursion (MAGE) and mean absolute glucose (MAG) levels were 91.18±26.51 vs. 65.66±22.55 (P<0.05), 24.62±7.78 vs. 18.18±7.07 (P<0.05) in KT vs.LT patients, respectively, in patients without preexisting DM or PTDM patients. When PTDM or preexisting DM patients were included, significant differences of glycemic fluctuation between KT and LT were not observed. Conclusion: Our study was limited to the early post-transplantation period. Further studies involving CGM follow-up at regular intervals based on the time since transplantation and comparison of glycemic variability in PTDM or preexisting diabetic patients after KT or LT may clarify the role of transplanted organs in glucose control in recipients of organ transplants.

Glycemic variation in uncontrolled Graves\u2019 disease patients with normal glucose metabolism: Assessment by continuous glucose monitoring

PurposeTo observe the glycemic variation (GV) in uncontrolled Graves’ disease (GD) patients with normal glucose metabolism measured by continuous glucose monitoring (CGM).MethodsThis was a single-center, open-label, observational study. From January 2017 to October 2017, 20 GD patients with normal glucose metabolism and 24 healthy control subjects were recruited. Serum samples were obtained at 0, 30, and 120 min after oral glucose loading for glucose, insulin, and C-peptide level measurements. Fasting plasma fasting free triiodothyronine (FT3), free thyroxin (FT4), and thyroid stimulating hormone concentrations were also detected. All participants were subjected to a 3-day CGM after baseline data were collected. The primary endpoint was the difference in the mean amplitude of the glycemic excursions between the two groups.ResultsCompared with the healthy subjects, the GD patients had higher mean amplitude of glycemic excursions (MAGE) (P < 0.01). Multiple linear stepwise regression analysis showed that FT4 level was an independent factor for the MAGE. Interestingly, the GD patients had a significant prolongation in the time to peak glucose, especially after breakfast (P < 0.01), and the elevation in the incremental area under the curve of glucose after breakfast till 4 hours later.ConclusionsUncontrolled GD patients with normal glucose metabolism had a greater GV, and the FT4 level may contributed to the increased GV.

Assessment of blood glucose variability by continuous monitoring as a therapy guide for patients with diabetic nephropathy on hemodialysis

BackgroundPlasma glucose variability may confer a risk for development of chronic diabetic complications. Glycosylated hemoglobin (HbA1c) reflects average glucose level but not glucose variability, which is measured by mean amplitude of glycemic excursions (MAGEs) and continuous glucose monitoring (CGM).AimTo study glucose variability using CGM/MAGE compared with sugar profiles and to assess their value as a therapy guide in patients with diabetic nephropathy on hemodialysis.Patients and methodsGroup 1 included 50 patients with type 2 diabetes mellitus (T2DM) without diabetic nephropathy. Group 2 included 50 patients with T2DM with diabetic nephropathy. Group 3 included 50 patients with T2DM with diabetic nephropathy on hemodialysis. Measurements of fasting blood glucose, postprandial blood glucose, HbA1c, and glucose variability by MAGE and CGM were done.ResultsCGM showed significant blood glucose variability (amplitude>130 mg/dl in 40 patients=80% using CGM and in 45 patients=90% using MAGE) in dialysis group (group 3) in comparison with glucose variability in nondialysis groups (group 1+group 2) (amplitude>130 mg/dl in 20 patients=20% using either CGM or MAGE). Group 1 showed significant correlations between either CGM or MAGE and all sugar profiles. Group 2 showed significant correlations between CGM and MAGE with either fasting or postprandial blood glucose but not with HbA1c, whereas group 3 showed nonsignificant correlations between either CGM or MAGE and any of sugar profiles.ConclusionCGM/MAGE have high specificity and sensitivity to measure variability of sugar levels, especially in patients with diabetic nephropathy on hemodialysis or not, in which HbA1c may not be a reliable tool.

Continuous glucose monitoring defined glucose variability is associated with cardiovascular autonomic neuropathy in type 1 diabetes.

The purpose of this study was to establish the association between continuous glucose monitoring (CGM)-defined glycaemic variability (GV) and cardiovascular autonomic neuropathy (CAN) in type 1 diabetes independent of mean glucose and to examine the relative contribution of each internationally standardized CGM parameter to this association. This study included 80 adults with type 1 diabetes who underwent 3-day CGM and autonomic function tests within 3months. The degree of association between internationally standardized CGM parameters and CAN, defined as at least two abnormal parasympathetic tests or the presence of orthostatic hypotension, were analysed by logistic regression, receiver operating characteristics (ROC), and dominance analysis. A total of 36 subjects (45.0%) were diagnosed with CAN. When adjusted with mean glucose and clinical risk factors of CAN, standard deviation, coefficient of variation, mean amplitude of glycaemic excursion, percent time in level 1 (glucose 54-69mg/dL) and level 2 (glucose<54mg/dL) hypoglycaemia, area under the curve in level 2 hypoglycaemia, low blood glucose index, high blood glucose index, and percent time in glucose 70 to 180mg/dL were independently associated with CAN. Multivariable ROC analysis and dominance analysis revealed the highest relative contribution of percent time in level 2 hypoglycaemia to the independent associations between CGM parameters and presence of CAN. CGM-defined GV was associated with CAN independent of mean glucose in adults with type 1 diabetes. Among internationally standardized CGM parameters, those describing the degree of level 2 hypoglycaemia were the most significant contributors to this association.

Glycemic variability assessed by continuous glucose monitoring and the risk of diabetic retinopathy in latent autoimmune diabetes of the adult and type2 diabetes.

Aims/IntroductionThe relationship between glycemic variability (GV) and diabetic complications has gained much interest and remains under debate. Furthermore, the association of GV with diabetic complications has not been examined in latent autoimmune diabetes of the adult (LADA). Therefore, we evaluated the relationships among several metrics of GV with diabetic retinopathy (DR) in patients with LADA and type 2 diabetes mellitus.Materials and MethodsA total of 192 patients with LADA and 2,927 patients with type 2 diabetes mellitus were enrolled. After continuous glucose monitoring for 72 h, three metrics of GV including standard deviation, coefficient of variation and mean amplitude of glycemic excursions were calculated. DR was assessed by fundus photography performed with a digital non‐mydriatic camera.ResultsThe prevalence of DR was 20.3 and 26.4% in LADA and type 2 diabetes mellitus patients (P < 0.001), respectively. Generally, LADA patients had fewer cardiometabolic risk factors than type 2 diabetes mellitus patients, and all GV metrics were significantly higher in LADA than in type 2 diabetes mellitus. In the multivariate logistic regression analysis, no metrics for GV were identified as independent risk factors of DR (standard deviation: P = 0.175; coefficient of variation: P = 0.769; mean amplitude of glycemic excursions: P = 0.388) in LADA. However, the standard deviation was significantly associated with DR (OR 1.15, P = 0.017) in patients with type 2 diabetes mellitus after adjusting for confounders. The independent relationships of coefficient of variation and mean amplitude of glycemic excursions with DR (P = 0.194 and P = 0.251, respectively) did not reach statistical significance in type 2 diabetes mellitus.Conclusions GV is more strongly associated with DR in type 2 diabetes than in LADA, suggesting that different glucose‐lowering strategies should be used for these two types of diabetes.

Resistance to Data Loss of Glycemic Variability Measurements in Long-Term Continuous Glucose Monitoring.

Background: Continuous glucose monitoring (CGM) is a method of estimating blood glucose values from those recorded in the interstitial fluid. Because increasingly longer CGM measurements are possible, errors and data loss become more and more likely and potentially more damaging to accurate calculations of glycemic variability (GV) indices. Our research investigates the resistance of the CGM recording to data loss. Methods: We collected 71 CGM recordings (duration of min: 2, max: 265, median: 42 days) from patients with type 1 diabetes and used three algorithms to introduce missing data. We calculated mean and standard deviation (SD) of absolute percentage error of 12 variability indices and correlated those with the percentage of missing data and duration of the measurements. Results: Mean absolute percentage error of variability indices increased linearly with the percentage of missing data along with SD of absolute percentage error. Except for mean amplitude of glycemic excursions and time spent in hypoglycemia, all absolute errors never exceeded 25%, while mean absolute errors stayed below 5%. The gradient removal algorithm introduced errors larger than the single datapoint and block removal algorithms. The absolute percentage error of variability indices correlated negatively with the duration of the CGM measurements. Conclusions: Standard GV measurements in long-term glucose monitoring are robustly resistant to data loss.

Impact of different timing of consuming sweet snack on postprandial glucose excursions in healthy women

AimsOur aim was to evaluate the acute effect of eating sweet snacks at different times of day on glycaemic parameters in young women without diabetes. MethodsIn this randomized controlled three-treatment crossover study, 17 women [(means ± SD) age: 21.2 ± 0.8 years, BMI: 20.7 ± 2.5 kg/m2, HbA1c: 36 ± 2 mmol/mol (5.1 ± 0.2%)] wore flash (continuous) glucose monitoring systems for 7 days. Each participant consumed identical test meals on days 4, 5 and 6, but consumed sweet snacks (baked cake: 498 kcal; 53.6 g of carbohydrate, 8.0 g of protein, 28.0 g of fat) at 12:30 (post-lunch), 15:30 (mid-afternoon) and 19:30 (post-dinner), respectively, on each of those days. Daily glycaemic parameters on those 3 days of snacking at different times of day were compared within-participant. ResultsThe mean amplitude of glycaemic excursions (3.54 ± 0.32 vs. 2.73 ± 0.20 mmol/L; P < 0.05), standard deviation of glucose (1.20 ± 0.11 vs. 0.92 ± 0.07 mmol/L; P < 0.05), incremental area under the curve (IAUC) for glucose at 12:00–07:00 (986 ± 89 vs. 716 ± 88 mmol/L × min; P < 0.05) and IAUC at 07:00–10:00 the next day (141 ± 17 vs. 104 ± 12 mmol/L × min; P < 0.05) when the snack was eaten post-dinner were all significantly higher than with mid-afternoon snacking. ConclusionEating sweet snacks post-dinner should be avoided because it worsens glucose excursions as well as postprandial glucose levels after both dinner and the following day's breakfast in young healthy (non-diabetic) women.

Initial increase in glucose variability during Ramadan fasting in non-insulin-treated patients with diabetes type 2 using continuous glucose monitoring

ABSTRACTThere are no studies evaluating the glucose variability in different periods of Ramadan fasting in patients with type 2 diabetes using continuous glucose monitoring (CGM). This study examined the effect of Ramadan fasting on interstitial glucose (IG) variability in early,- late-, and post-Ramadan compared to pre-Ramadan days in non-insulin-treated type 2 diabetes patients. Participants had a CGM system connected 2 or 3 days before Ramadan start, which was removed on the third or fourth day of Ramadan. CGM performance continued for a total of 6 days. A second CGM performance started on the 27th or 28th day of Ramadan and ended on the 4th or 5th post-Ramadan day. First, CGM recordings were divided into pre-Ramadan and early-Ramadan CGM, and second recordings into late-Ramadan and post-Ramadan. At each visit, blood pressure, body weight, and waist circumference were measured, and fasting blood samples were collected for HbA1c and plasma glucose. All patients received recommended Ramadan education before Ramadan. Thirty-three patients (mean age 55.0 ± 9.8 years, 73% males) were prospectively included. IG variability, estimated as mean amplitude of glycaemic excursions (MAGE), increased significantly in early-Ramadan compared to pre-Ramadan (P = 0.006) but not in late-Ramadan and post-Ramadan recording days. Only patients on >2 anti-diabetic drugs (n = 16, P = 0.019) and those on sulphonylureas (n = 14, P = 0.003) showed significant increase in MAGE in early-Ramadan. No significant changes were seen in coefficient of variation, time in range, time in hyperglycaemia, or time in hypoglycaemia. Except for an initial increase in glucose variability, fasting Ramadan for patients with non-insulin-treated type 2 diabetes did not cause any significant changes in glucose variability or time in hypoglycaemia during CGM recording days compared to non-fasting pre-Ramadan period.

Insulin Injection Technique is Associated with Glycemic Variability in Patients with Type 2 Diabetes.

IntroductionPatients with type 2 diabetes (T2D) receiving premixed insulin often fail to achieve optimal glycemic control. The insulin injection technique (IT) itself may be one of the factors affecting glycemic variability (GV). The aim of this study was to assess the relationship between GV and IT in patients with T2D using premixed insulin.MethodsThis was a single center, cross-sectional, and self-controlled trial. Patients with T2D using premixed insulin were enrolled as inpatients. The 4-day study consisted of a 2-day patient insulin injection period (days 0 and 1) and a 2-day specialist nurse insulin injection period (days 2 and 3). Patient insulin IT were assessed on day 1 by two independent nurses using a skill-related scale consisting of 15 items, with a maximum score for each item of 2 and a total optimum score of 30. All patients underwent 96-h continuous glucose monitoring (CGM) during the 4-day study, and CGM data collected on days 1 and 3 were recorded and analyzed. The primary outcome was the relationship between the insulin IT score and the 24-h mean amplitude glycemic excursion (MAGE) during the patient injection period.ResultsA total of 52 inpatients with T2D who used premixed insulin were recruited and completed the study. The mean total insulin IT score of these patients was considerably lower than the optimum score (17.0 ± 4.4 vs. 30). Our CGM data showed that the MAGE was significantly higher during the patient injection period than during the nurse injection period (P < 0.05). Multiple linear stepwise regression analysis showed that the patient IT score was negatively correlated to the MAGE (P < 0.05). The patient IT score was also negatively correlated to glycated hemoglobin (HbA1c; P < 0.05).ConclusionsA poorer insulin IT may negatively affect GV and HbA1c control in patients with T2D using premixed insulin. Our data indicate that the insulin IT is important for short- and long-term glycemic control.Clinical Trial RegistrationClinicalTrials.gov identification number: NCT03513055.

Glimepiride monotherapy versus combination of glimepiride and linagliptin therapy in patients with HNF1A-diabetes: a protocol for a randomised, double-blinded, placebo-controlled trial

IntroductionHepatocyte nuclear factor 1α (HNF1A)-diabetes is the most common monogenetic subtype of diabetes. Strict glycaemic control is crucial for a good prognosis for patients with HNF1A-diabetes. Sulfonylurea (SU) is used...

Effect of moderate exercise for 30 min at 30 min versus 60 min after dinner on glycemic control in patients with type 2 diabetes: a randomized, crossover, self-controlled study

To compare the effectiveness of moderate exercise for 30 min at 30 min and 60 min after dinner on glycemic control in patients with type 2 diabetes. This randomized, crossover, self-controlled pilot study was conducted in 15 inactive patients with type 2 diabetes without serious complications or use of exogenous insulin. The participants completed two randomly ordered exercise protocols (brisk walking for 30 min at 30 min or 60 min after dinner on the exercise day) spaced 1 week apart. All the exercise was performed while maintaining a heart rate reserve of 40%. The interstitial glucose level was monitored using a continuous glucose monitor (CGM) for all the participants, who maintained a standardized diet with routine medications. The 2-h postprandial mean glucose, peak glucose, and glucose area under the curve (AUC) were measured. The mean amplitude of glycemic excursions (MAGE) and other plasma glucose fluctuation parameters in 12 h after dinner, including the mean blood glucose (MBG) and the coefficient variation (CV) of glucose, were also calculated. The incidence of nocturnal hypoglycemia was recorded in all the participants. The participants had a mean age of 46±11 years with a mean BMI of 25.8±3.1 kg/m2 and a mean HbA1c of 7.7%. No significant differences were found between postprandial 30 min exercise group and postprandial 60 min exercise group in terms of 2-h postprandial mean glucose, peak glucose, glucose AUC, or in MBG, CV and MAGE during the 12-h period after dinner. No nocturnal hypoglycemia occurred in the participants after exercise at 30 or 60 min after dinner. However, significant reductions in the 2-h postprandial glucose levels were detected after exercise at 60 min after dinner as compared to exercise at 30 min. The timing (30 min vs 60 min after dinner) of moderate exercises for 30 min does not produce significant difference in the improvement of postprandial hyperglycemia in type 2 diabetic patients, and both exercise protocols are safe without a potential risk of hypoglycemia. Nevertheless, exercise at 60 min after dinner can be more effective to lower 2-h postprandial glucose, while exercise at 30 min after dinner might be safer for patients with a high risk of hypoglycemia.