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Efficacy of continuous glucose monitoring on maternal and neonatal outcomes in gestational diabetes mellitus: a systematic review and meta-analysis of randomized clinical trials.
García-Moreno, RM, Benítez-Valderrama, P, Barquiel, B, González Pérez-de-Villar, N, Hillman, N, Lora Pablos, D, Herranz, L
Diabetic medicine : a journal of the British Diabetic Association. 2022;(1):e14703
Abstract
AIMS: This systematic review aims to evaluate the effect of continuous glucose monitoring (CGM) on maternal and neonatal outcomes in gestational diabetes mellitus (GDM). METHODS Two authors conducted a systematic search using PubMed, Embase, CENTRAL, CINAHL, Scopus, Web of Science, ClinicalTrials.gov and the World Health Organization International Clinical Trials Registry Platform. The inclusion criteria for the systematic review were randomized clinical trials that compared the effects of CGM and blood glucose monitoring (BGM) in women with GDM. A restricted maximum likelihood random-effects model was used for the meta-analysis. The measures of effect were risk ratios for categorical data and mean differences for continuous data. RESULTS Of the 457 studies reviewed, six randomized clinical trials met the inclusion criteria. A total of 482 patients were included in the meta-analysis. The use of CGM was associated with lower HbA1c levels at the end of pregnancy (mean difference: -0.22; 95%CI -0.42 to -0.03) compared to BGM. Women using CGM also had less gestational weight gain (mean difference: -1.17, 95%CI -2.15 to -0.19), and their children had lower birth weight (mean difference: -116.26, 95%CI -224.70 to -7.81). No differences were observed in the other outcomes evaluated. CONCLUSION Women with GDM using CGM may achieve lower average blood glucose levels, lower maternal weight gain and infant birth weight than women using BGM. Nevertheless, current evidence is limited by the low number of studies and the small sample sizes of these studies. Larger clinical trials are needed to better understand the effects of CGM in GDM. REGISTRATION PROSPERO registration ID CRD42021225651.
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Real-Time Flash Glucose Monitoring Had Better Effects on Daily Glycemic Control Compared With Retrospective Flash Glucose Monitoring in Patients With Type 2 Diabetes on Premix Insulin Therapy.
Yan, RN, Cai, TT, Jiang, LL, Jing, T, Cai, L, Xie, XJ, Su, XF, Xu, L, He, K, Cheng, L, et al
Frontiers in endocrinology. 2022;:832102
Abstract
BACKGROUND AND AIMS To compare the effects of real-time and retrospective flash glucose monitoring (FGM) on daily glycemic control and lifestyle in patients with type 2 diabetes on premix insulin therapy. METHODS AND RESULTS A total of 172 patients using premix insulin, with HbA1c ≥ 7.0% (56 mmol/mol), or the time below the target (TBR) ≥ 4%, or the coefficient of variation (CV) ≥36% during the screening period, were randomly assigned to retrospective FGM (n = 89) or real-time FGM group (n = 83). Another two retrospective or real-time 14-day FGMs were performed respectively, 1 month apart. Both groups received educations and medication adjustment after each FGM. Time in range (3.9~10.0 mmol/l, TIR) increased significantly after 3 months in the real-time FGM group (6.5%) compared with the retrospective FGM group (-1.1%) (p = 0.014). HbA1c decreased in both groups (both p < 0.01). Real-time FGMs increased daily exercise time compared with the retrospective group (p = 0.002). CONCLUSIONS Real-time FGM with visible blood glucose improves daily glycemic control and diabetes self-care behaviors better than retrospective FGM in patients with type 2 diabetes on premix insulin therapy. CLINICAL TRIAL REGISTRATION https://clinicaltrials.gov/NCT04847219.
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Non-adjunctive continuous glucose monitoring for control of hypoglycaemia (COACH): Results of a post-approval observational study.
Beck, SE, Kelly, C, Price, DA, ,
Diabetic medicine : a journal of the British Diabetic Association. 2022;(2):e14739
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Abstract
OBJECTIVE Prior to the Continuous Monitoring and Control of Hypoglycaemia (COACH) study described herein, no study had been powered to evaluate the impact of non-adjunctive RT-CGM use on the rate of debilitating moderate or severe hypoglycaemic events. RESEARCH DESIGN AND METHODS In this 12-month observational study, adults with insulin-requiring diabetes who were new to RT-CGM participated in a 6-month control phase where insulin dosing decisions were based on self monitoring of blood glucose values, followed by a 6-month phase where decisions were based on RT-CGM data (i.e. non-adjunctive RT-CGM use); recommendations for RT-CGM use were made according to sites' usual care. The primary outcome was change in debilitating moderate (requiring second-party assistance) and severe (resulting in seizures or loss of consciousness) hypoglycaemic event frequency. Secondary outcomes included changes in HbA1c and diabetic ketoacidosis (DKA) frequency. RESULTS A total of 519 participants with mean (SD) age 50.3 (16.1) years and baseline HbA1c 8.0% (1.4%) completed the study, of whom 32.8% had impaired hypoglycaemia awareness and 33.5% had type 2 diabetes (T2D). The mean (SE) per-patient frequency of hypoglycaemic events decreased by 63% from 0.08 (0.016) during the SMBG phase to 0.03 (0.010) during the RT-CGM phase (p = 0.005). HbA1c decreased during the RT-CGM phase both for participants with type 1 diabetes (T1D) and T2D and there was a trend towards larger reductions among individuals with higher baseline HbA1c. CONCLUSIONS Among adults with insulin-requiring diabetes, non-adjunctive use of RT-CGM data is safe, resulting in significantly fewer debilitating hypoglycaemic events than management using SMBG.
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The relationship between meal carbohydrate quantity and the insulin to carbohydrate ratio required to maintain glycaemia is non-linear in young people with type 1 diabetes: A randomized crossover trial.
Cordon, NM, Smart, CEM, Smith, GJ, Davis, EA, Jones, TW, Seckold, R, Burckhardt, MA, King, BR
Diabetic medicine : a journal of the British Diabetic Association. 2022;(2):e14675
Abstract
OBJECTIVE To determine if the relationship between meal carbohydrate quantity and the insulin to carbohydrate ratio (ICR) required to maintain glycaemia is linear in people with type 1 diabetes. METHODS We used an open labelled randomized four-arm cross-over study design. Participants (N = 31) aged 12-27 years, HbA1c ≤ 64 mmol/mol (8.0%) received insulin doses based on the individual's ICR and the study breakfast carbohydrate quantity and then consumed four breakfasts containing 20, 50, 100 and 150 g of carbohydrate over four consecutive days in randomized order. The breakfast fat and protein percentages were standardized. Postprandial glycaemia was assessed by 5 h continuous glucose monitoring. The primary outcome was percent time in range (TIR) and secondary outcomes included hypoglycaemia, glucose excursion and incremental area under the curve. Statistical analysis included linear mixed modelling and Wilcoxon signed rank tests. RESULTS The 20 g carbohydrate breakfast had the largest proportion of TIR (0.74 ± 0.29 p < 0.04). Hypoglycaemia was more frequent in the 50 g (n = 13, 42%) and 100 g (n = 15, 50%) breakfasts compared to the 20 g (n = 6, 20%) and 150 g (n = 7, 26%) breakfasts (p < 0.029). The 150 g breakfast glucose excursion pattern was different from the smaller breakfasts with the lowest glucose excursion 0-2 h and the highest excursion from 3.5 to 5 h. CONCLUSIONS A non-linear relationship between insulin requirement and breakfast carbohydrate content was observed, suggesting that strengthened ICRs are needed for meals with ≤20 and ≥150 g of carbohydrate. Meals with ≥150 g of carbohydrate may benefit from dual wave bolusing.
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CGMS and Glycemic Variability, Relevance in Clinical Research to Evaluate Interventions in T2D, a Literature Review.
Breyton, AE, Lambert-Porcheron, S, Laville, M, Vinoy, S, Nazare, JA
Frontiers in endocrinology. 2021;:666008
Abstract
Glycemic variability (GV) appears today as an integral component of glucose homeostasis for the management of type 2 diabetes (T2D). This review aims at investigating the use and relevance of GV parameters in interventional and observational studies for glucose control management in T2D. It will first focus on the relationships between GV parameters measured by continuous glucose monitoring system (CGMS) and glycemic control and T2D-associated complications markers. The second part will be dedicated to the analysis of GV parameters from CGMS as outcomes in interventional studies (pharmacological, nutritional, physical activity) aimed at improving glycemic control in patients with T2D. From 243 articles first identified, 63 articles were included (27 for the first part and 38 for the second part). For both analyses, the majority of the identified studies were pharmacological. Lifestyle studies (including nutritional and physical activity-based studies, N-AP) were poorly represented. Concerning the relationships of GV parameters with those for glycemic control and T2D related-complications, the standard deviation (SD), the coefficient of variation (CV), the mean blood glucose (MBG), and the mean amplitude of the glycemic excursions (MAGEs) were the most studied, showing strong relationships, in particular with HbA1c. Regarding the use and relevance of GV as an outcome in interventional studies, in pharmacological ones, SD, MAGE, MBG, and time in range (TIR) were the GV parameters used as main criteria in most studies, showing significant improvement after intervention, in parallel or not with glycemic control parameters' (HbA1c, FBG, and PPBG) improvement. In N-AP studies, the same results were observed for SD, MAGE, and TIR. Despite the small number of N-AP studies addressing both GV and glycemic control parameters compared to pharmacological ones, N-AP studies have shown promising results on GV parameters and would require more in-depth work. Evaluating CGMS-GV parameters as outcomes in interventional studies may provide a more integrative dimension of glucose control than the standard postprandial follow-up. GV appears to be a key component of T2D dysglycemia, and some parameters such as MAGE, SD, or TIR could be used routinely in addition to classical markers of glycemic control such as HbA1c, fasting, or postprandial glycemia.
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Current concepts and clinical importance of glycemic variability.
Ravi, R, Balasubramaniam, V, Kuppusamy, G, Ponnusankar, S
Diabetes & metabolic syndrome. 2021;(2):627-636
Abstract
BACKGROUND AND AIMS Evolving evidence indicate that variations in blood glucose levels are likely to be an important factor in developing diabetic complications. Monitoring glucose fluctuations in patients remains as a therapeutic challenge and more evidence needs to be created in order to bring GV into limelight. This review encapsulates the most important findings conducted and discusses on them to provide readers a better understanding on this emerging subject. METHODS Keyword-based comprehensive desktop search was conducted to gather the relevant literature. Triple-stage cascade type content analysis of the literature was conducted to draw relevant themes of discussions. RESULTS High glycemic variability is associated with an increased risk of development of diabetic complications especially in cardiac conditions. The widely used and accepted metrics to determine the variations in blood glucose are Standard deviation (SD), MAGE (Mean amplitude of glycemic excursions) and MODD (Mean of daily differences). Occurrence of blood glucose variations affects at a molecular level thereby causing more harm than the occurrence of hyperglycemia alone. CONCLUSION Available data suggest that Glycemic Variability should be used as an additional marker of glycemia. Additional research globally, and in India are required.
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Continuous glucose monitoring in obese pregnant women with no hyperglycemia on glucose tolerance test.
Rahmi, RM, de Oliveira, P, Selistre, L, Rezende, PC, Pezzella, GN, Dos Santos, PA, Vergani, DOP, Madi, SRC, Madi, JM
PloS one. 2021;(6):e0253047
Abstract
OBJECTIVE The objective of the present study was to compare 24-hour glycemic levels between obese pregnant women with normal glucose tolerance and non-obese pregnant women. METHODS In the present observational, longitudinal study, continuous glucose monitoring was performed in obese pregnant women with normal oral glucose tolerance test with 75 g of glucose between the 24th and the 28th gestational weeks. The control group (CG) consisted of pregnant women with normal weight who were selected by matching the maternal age and parity with the same characteristics of the obese group (OG). Glucose measurements were obtained during 72 hours. RESULTS Both the groups were balanced in terms of baseline characteristics (age: 33.5 [28.7-36.0] vs. 32.0 [26.0-34.5] years, p = 0.5 and length of pregnancy: 25.0 [24.0-25.0] vs. 25.5 [24.0-28.0] weeks, p = 0.6 in the CG and in the OG, respectively). Pre-breakfast glycemic levels were 77.77 ± 10.55 mg/dL in the CG and 82.02 ± 11.06 mg/dL in the OG (p<0.01). Glycemic levels at 2 hours after breakfast were 87.31 ± 13.10 mg/dL in the CG and 93.48 ± 18.74 mg/dL in the OG (p<0.001). Daytime blood glucose levels were 87.6 ± 15.4 vs. 93.1 ± 18.3 mg/dL (p<0.001) and nighttime blood glucose levels were 79.3 ± 15.8 vs. 84.7 ± 16.3 mg/dL (p<0.001) in the CG and in the OG, respectively. The 24-hour, daytime, and nighttime values of the area under the curve were higher in the OG when compared with the CG (85.1 ± 0.16 vs. 87.9 ± 0.12, 65.6 ± 0.14 vs. 67.5 ± 0.10, 19.5 ± 0.07 vs. 20.4 ± 0.05, respectively; p<0.001). CONCLUSION The results of the present study showed that obesity in pregnancy was associated with higher glycemic levels even in the presence of normal findings on glucose tolerance test.
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Mitigation of hypoglycemia during Ramadan using the flash glucose monitoring system following dose adjustment of insulin and sulphonylurea in patients taking multiple glucose-lowering therapies (The PROFAST-IT Study).
Elhadd, T, Bashir, M, Baager, KA, Ali, HA, Almohannadi, DHS, Dabbous, Z, Malik, RA, Abou-Samra, AB, ,
Diabetes research and clinical practice. 2021;:108589
Abstract
BACKGROUND AND HYPOTHESIS Patients with type-2 diabetes mellitus (T2DM) on multiple glucose-lowering therapies who fast during Ramadan are at increased risk of hypoglycemia. We have assessed the utility of the flash glucose monitoring system after adjusting the dose of insulin and sulphonylureas to mitigate the risk of hypoglycemia in patients with T2DM who fast during Ramadan. PATIENTS AND METHODS Patients with T2DM on either basal insulin or a sulphonylurea and at least 2 other glucose-lowering agents received structured education and adjustment of insulin or sulphonylurea dose according to the PROFAST Ramadan protocol. Glucose variability and episodes of hypoglycemia were assessed using the flash glucose monitoring system (Free Style Libre) before and during Ramadan. RESULTS A total of 33 patients with T2DM (on sulphonylurea (SU+) (n = 21), on basal insulin (BI+) (n = 12) aged 50.8 ± 1.6 years with a diabetes duration of 13.1 ± 6.5 years were studied. The average sensor glucose was 154 ± 34 mg/dl (8.5 ± 1.88 mmol/l) with 65.2% in the target range before Ramadan and the average sensor glucose was 156 ± 36 mg/dl (8.6 ± 2.0 mmol/l) with 67.1% in the target range during Ramadan. The incidence of hypoglycemia in the whole group (2.9 v 2.9) and in the SU+ (3.7 vs 3.0) and BI+ (1.7 vs 2.9) groups and eHbA1c (P = 0.56, P = 0.93), average glucose (P = 0.56, P = 0.92) and time within range (P = 0.63, P = 0.73) did not change in the SU+ and BI+ groups, respectively, before and during Ramadan. CONCLUSION Structured education with adjustment of the dose of glucose lowering medication alongside use of the FGMS can effectively mitigate the increased risk of hypoglycemia in patients with T2DM on multiple glucose-lowering therapies who fast during Ramadan.
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Safety and glycemic outcomes of do-it-yourself AndroidAPS hybrid closed-loop system in adults with type 1 diabetes.
Gawrecki, A, Zozulinska-Ziolkiewicz, D, Michalak, MA, Adamska, A, Michalak, M, Frackowiak, U, Flotynska, J, Pietrzak, M, Czapla, S, Gehr, B, et al
PloS one. 2021;(4):e0248965
Abstract
BACKGROUND The aim of the study was to assess the safety and glycemic outcomes with the use of a Do-It-Yourself (DIY) Hybrid Closed-Loop (HCL) system based on the AndroidAPS application in type 1 diabetes (T1D). METHODS Single-center clinical trial, with 3-week run-in and 12-week study period. DIY HCL system consisted of the Dana Diabecare RS insulin pump, Dexcom G5 continuous glucose monitoring system and AndroidAPS application. Primary outcome was safety: incidences of severe hypoglycemia, diabetic ketoacidosis, time spent in glycemia <54 mg/dl. Secondary endpoints included percentage of time in range (TIR) 70-180 mg/dl, time below 70 mg/dl, HbA1c, insulin requirements, and body weight. RESULTS In total 12 subjects (5 men, 7 women) were enrolled, mean age 31.3±6.7, 95%CI(27.7-34.9) years, mean diabetes duration 16.1±5.7, 95%CI(13.0-19.2) years. No episodes of severe hypoglycemia or ketoacidosis were observed. Percentage of time spent in glycemia below 54mg/dl was not increased. Average sensor glycemia was lower in the study period than baseline (141.1 ± 8.4, 95%CI(136.3-145.9) vs. 153.3 ± 17.9, 95%CI(143.2-163.4), mg/dl p<0.001). TIR 70-180 mg/dl was improved by 11.3%, 95%CI(2.8%-19.8%) (from 68.0 ± 12.7 to 79.3 ± 6.4%, p<0.001), without increasing hypoglycemia time. The HbA1c level decreased by -0.5%, 95%CI(-0.9%--0.1%) (from 6.8 ± 0.5 to 6.3 ± 0.4%, p<0.001). Additionally, in the last 4 weeks of the study period participants significantly improved and showed TIR 70-180 mg/dl 82.1 ± 5.6%, 95%CI(78.9-85.3), time <54 mg/dl 0.30 (0.20-0.55)%, median 95%CI(0.1-0.7) and <70 mg/dl 1.90 (1.10-3.05)%, median 95%CI(0.7-3.2). The insulin requirement and body weight did not change in the study. CONCLUSIONS The study revealed safety of the Do-It-Yourself HCL system AndroidAPS in adults with T1D, limited to well-controlled, highly selected and closely monitored patients. The use of AndroidAPS significantly improved HbA1c, time in range and average sensor glycemia without increasing hypoglycemia. As both patients and their medical team are gaining experience using the system over time, they improve glycemic control. TRIAL REGISTRATION German Clinical Trials Register: no. DRKS00015439; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00015439.
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AGP and Nutrition - Analysing postprandial glucose courses with CGM.
Kröger, J, Siegmund, T, Schubert-Olesen, O, Keuthage, W, Lettmann, M, Richert, K, Pfeiffer, AFH
Diabetes research and clinical practice. 2021;:108738
Abstract
Nutritional therapies are one of the fundamentals of effective management of diabetes type 1 and type 2. Lifestyle interventions, including nutritional recommendations, are also part of the basic therapy for people with prediabetes or obesity. It is recommended that the diet should be individually adapted to personal circumstances, preferences and metabolic goals. In the age of digitalisation, mHealth interventions, like continuous glucose monitoring systems (CGM), are increasingly finding their way into nutrition therapy. The ambulatory glucose profile (AGP), a structured and graphical compilation of the obtained CGM data, can also be used as a support for dietary adjustment. After assessment of the glycaemic situation (hypoglycaemia, variability and stability of glucose levels). This publication aims to provide a general overview of nutritional recommendations, especially in Germany, and to describe the benefits of CGM measurements with regard to nutrition.