scholarly journals MON-653 The Effects of DPP IV Inhibitor on Glycemic Variability in Type 2 Diabetic Patients Treated with Twice Daily Premixed Human Insulin

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Florence Hui Sieng Tan ◽  
Chin Voon Tong ◽  
Yueh Chien Kuan ◽  
Bik Kui Lau ◽  
Huai Heng Loh

Abstract Glycemic variability (GV) is emerging as an exciting therapeutic target for diabetes mellitus (DM) with recent evidences showing association of GV with hypoglycemia risk as well as chronic complications.(1,2) Twice daily human premixed insulin is commonly used in developing countries and Asia for treatment of type 2 DM (T2DM). (3) While more convenient and cost saving, human premixed insulin regime may increase GV due to lesser flexibility and less physiological pharmacokinetic profile. Dipeptidyl peptidase IV inhibitors (DPPIV-I) have been shown to improve GV when used for treatment of T2DM but the effects of DPPIV-I when added on human premixed insulin is limited. We therefore evaluated the changes in GV following addition of DPP IV-I among T2DM patients treated with premixed human insulin with or without metformin therapy. This was a prospective study involving adult patients with T2DM on stable doses of premixed human insulin with or without metformin for at least 3 months from two state hospitals in Malaysia. Blinded continuous glucose monitoring (CGM) were performed at baseline and following 6 weeks of adding Vildagliptin to their insulin regime. A total of 12 patients were recruited (50% male). Mean (SD) age was 55.8 (13) years with mean duration of disease of 14 (6.6) years. The addition of Vildagliptin significantly reduced GV indexes including SD 2.98 (1.17) to 2.33 (0.82), p=0.017; MAGE 6.94 (2.61) to 5.72 (1.87), p=0.018; MAG 1.60 (0.76) to 1.23 (0.48), p=0.009 and M Value 13.96 (13.01) to 6.52 (7.45), p=0.037. In addition there were improvements in terms of parameters for glycemic control. Time spent in optimal glycemic range (4-8 mmol/l) improved from 38.33 (19.69) to 58.17 (5.95) %, p=0.001 with reduction in AUC for hyperglycemia from 2.09 (1.73) to 1.06 (1.09) mmol/day, p=0.010. Hypoglycemia events were infrequent and the reduction in time spent in hypoglycemia [5.92(9.74) to 1.91 (2.54)%, p=0.191] as well as AUC for hypoglycemia [0.03(0.54) to 0.01(0.02) mmol/day, p=0.163] were found although these did not reach statistical significance. We concluded that addition of DPP IV-I to commonly prescribed twice daily premixed human insulin regime in patients with T2DM may improve GV and glycemic control and warrant further exploration. References (1) Gerry Rayman. Glycaemic control, glucose variability and the triangle of diabetes care. Br J Diabetes 2016;16(Suppl1):S3-S6 (2) Boris P. Kovatchev. Metrics for glycaemic control - from HbA1c to continuous glucose monitoring. Nat Rev Endocrinol. 2017 Jul;13(7):425-436 (3) Kalra S, Balhara YP, Sahay BK, Ganapathy B, Das AK. Why is premixed insulin the preferred insulin? Novel answers to a decade-old question. J Assoc Physicians India. 2013 Jan;61(1 Suppl):9-11

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Annunziata Nusca ◽  
Angelo Lauria Pantano ◽  
Rosetta Melfi ◽  
Claudio Proscia ◽  
Ernesto Maddaloni ◽  
...  

Poor glycemic control is associated with unfavorable outcome in patients undergoing percutaneous coronary intervention (PCI), irrespective of diabetes mellitus. However a complete assessment of glycemic status may not be fully described by glycated hemoglobin or fasting blood glucose levels, whereas daily glycemic fluctuations may influence cardiovascular risk and have even more deleterious effects than sustained hyperglycemia. Thus, this paper investigated the effectiveness of a continuous glucose monitoring (CGM), registering the mean level of glycemic values but also the extent of glucose excursions during coronary revascularization, in detecting periprocedural outcome such as renal or myocardial damage, assessed by serum creatinine, neutrophil gelatinase-associated lipocalin (NGAL), and troponin I levels. High glycemic variability (GV) has been associated with worse postprocedural creatinine and NGAL variations. Moreover, GV, and predominantly hypoglycemic variations, has been observed to increase in patients with periprocedural myocardial infarction. Thus, our study investigated the usefulness of CGM in the setting of PCI where an optimal glycemic control should be achieved in order to prevent complications and improve outcome.


2014 ◽  
Vol 21 (1) ◽  
pp. 47-54 ◽  
Author(s):  
Simona Popa ◽  
Cristina Văduva ◽  
Maria Moţa ◽  
Eugen Moţa

Abstract Background and Aims. Peritoneal dialysis (PD) is accompanied by a multitude of factors that influence glycemic variability, and HbA1c does not detect dynamic glucose changes. In this study we wanted to assess glycemic variability, using a 72-hour continuous glucose monitoring system (CGMS), in 31 patients stratified according to the presence of type 2 diabetes and PD. Materials and Methods. The study included 31 patients (11 type 2 diabetic PD patients, 9 non diabetic PD patients and 11 type 2 diabetic patients without PD). Glycemic variability was assessed on CGM readings by: Mean Amplitude of Glycemic Excursion (MAGE), Mean of Daily Differences (MODD), Fractal Dimensions (FD), Mean Interstitial Glucose (MIG), Area Under glycemia Curve (AUC), M100, % time with glucose >180/<70 mg/dl. Results. The PD diabetic patients presented AUC, MIG and inter-day glycemic variability (MODD) significantly higher than diabetic patients without PD. In PD patients, the type of dialysis fluid in the nocturnal exchange and peritoneal membrane status did not significantly influence glycemic variability. Conclusions. CGMS is more useful than HbA1c in quantifying the metabolic imbalance of PD patients. PD induces inter-day glycemic variability and poor glycemic control, thus being a potential risk factor for chronic complications progression in diabetic patients.


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Bing-li Liu ◽  
Xiao-mei Liu ◽  
Yi-fei Ren ◽  
Yi-Xuan Sun ◽  
Meng-hui Luo ◽  
...  

Objective. To observe whether there are sexual-related differences in response to mid- or low-premixed insulin in type 2 diabetic patients. Methods. This was an analysis of CGM data of a previous study. After screening, patients with longstanding T2D receive a 7-day continuous subcutaneous insulin infusion (CSII) therapy, and then subjects were randomly assigned 1 : 1 into two groups receiving Novo Mix 30 or Humalog Mix 50 regimen for a 2-day phage, followed by a 4-day cross-over period. A 4-day continuous glucose monitoring (CGM) was performed during the cross-over period. The primary endpoint was the differences in glycemic control between male and female patients receiving mid- or low-premixed insulin therapy. Results. A total of 102 patients (52 men and 50 women) completed the study. Our data showed that male patients had significant decrease in mean glucose levels monitored by CGM after three meals during Humalog Mix 50 treatment period compared to those received Novo Mix 30 regimen (0900: 11.0±2.5 vs. 12.2±2.8, 1000: 9.9±2.9 vs. 11.3±3.1, 1200: 8.0±1.9 vs. 9.1±2.5, 1400: 9.2±2.3 vs. 10.3±2.5, and 2000: 7.3±2.1 vs. 8.2±2.4 mmol/L, p<0.05, respectively). In addition, male patients receiving Novo Mix 30 experienced a significantly increased hypoglycemic duration compared to those of receiving Humalog Mix 50 (0 (0, 4.8) vs. 0 (0, 0), p<0.05). Conclusion. Our data indicate that male patients with T2D receiving mid-premixed insulin analogue regimen may have a potential benefit of improvement in glycemic control compared to female patients. This trial is registered with ClinicalTrials.gov ChiCTR-IPR-15007340.


2013 ◽  
Vol 20 (3) ◽  
pp. 315-322 ◽  
Author(s):  
Cristina Văduva ◽  
Simona Popa ◽  
Maria Moţa ◽  
Eugen Moţa

Abstract Background and Aims. In diabetic patients, chronic kidney disease (CKD) requires special attention due to the multitude of factors that determine glycemic variability. We aimed to assess glycemic variability in patients with CKD and type 2 diabetes mellitus (T2DM) using a continuous glucose monitoring system (CGMS) and identify the predictive value of inter-day and intra-day glycemic variability indices for metabolic imbalance. Material and method. We included 20 diabetic patients (10 CKD patients/10 patients without CKD) and 10 healthy volunteers. Anthropometric parameters, glycated hemoglobin (HbA1c), and glycemic variability indices on CGMS readings were registered. Results. CKD diabetic patients presented significantly higher inter-day and intra-day glycemic variability compared to the diabetic patients without CKD. HbA1c was not significantly different between diabetic subjects with/without CKD. ROC curves indicated that just some CGMS parameters had higher predictive value for metabolic imbalance (HbA1c≥6.5%) but only the percentage of time with glucose values>180 mg/dl (p=0.024) was an independent predictor for HbA1c≥6.5%. Conclusions. Subjects with CKD and T2DM had poor glycemic control and significantly higher glycemic variability comparative to those without CKD, and especially to healthy volunteers. Assessment of glycemic variability indices is more accurate than HbA1c for the quantification of glycemic control in CKD diabetic patients


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2180-PUB
Author(s):  
ADDIE L. FORTMANN ◽  
ALESSANDRA BASTIAN ◽  
CODY J. LENSING ◽  
SHANE HOVERSTEN ◽  
KIMBERLY LUU ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fumi Uemura ◽  
Yosuke Okada ◽  
Keiichi Torimoto ◽  
Yoshiya Tanaka

AbstractTime in range (TIR) is an index of glycemic control obtained from continuous glucose monitoring (CGM). The aim was to compare the glycemic variability of treatment with sulfonylureas (SUs) in type 2 diabetes mellitus (T2DM) with well-controlled glucose level (TIR > 70%). The study subjects were 123 patients selected T2DM who underwent CGM more than 24 h on admission without changing treatment. The primary endpoint was the difference in glycemic variability, while the secondary endpoint was the difference in time below range < 54 mg/dL; TBR < 54, between the SU (n = 63) and non-SU (n = 60) groups. The standard deviation, percentage coefficient of variation (%CV), and maximum glucose level were higher in the SU group than in the non-SU group, and TBR < 54 was longer in the high-dose SU patients. SU treatment was identified as a significant factor that affected %CV (β: 2.678, p = 0.034). High-dose SU use contributed to prolonged TBR < 54 (β: 0.487, p = 0.028). Our study identified enlarged glycemic variability in sulfonylurea-treated well-controlled T2DM patients and high-dose SU use was associated with TBR < 54. The results highlight the need for careful adjustment of the SU dose, irrespective of glycated hemoglobin level or TIR value.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dulce Adelaida Rivera-Ávila ◽  
Alejandro Iván Esquivel-Lu ◽  
Carlos Rafael Salazar-Lozano ◽  
Kyla Jones ◽  
Svetlana V. Doubova

Abstract Background The study objective was to evaluate the effects of professional continuous glucose monitoring (CGM) as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes (T2D). Methods We conducted a three-month quasi-experimental study with an intervention (IGr) and control group (CGr) and ex-ante and ex-post evaluations in one family medicine clinic in Mexico City. Participants were T2D patients with HbA1c > 8% attending a comprehensive diabetes care program. In addition to the program, the IGr wore a professional CGM sensor (iPro™2) during the first 7 days of the study. Following this period, IGr participants had a medical consultation for the CGM results and treatment adjustments. Additionally, they received an educational session and personalized diet plan from a dietitian. After 3 months, the IGr again wore the CGM sensor for 1 week. The primary outcome variable was HbA1c level measured at baseline and 3 months after the CGM intervention. We analyzed the effect of the intervention on HbA1c levels by estimating the differences-in-differences treatment effect (Diff-in-Diff). Additionally, baseline and three-month CGM and dietary information were recorded for the IGr and analyzed using the Student’s paired t-test and mixed-effects generalized linear models to control for patients’ baseline characteristics. Results Overall, 302 T2D patients participated in the study (IGr, n = 150; control, n = 152). At the end of the three-month follow-up, we observed 0.439 mean HbA1C difference between groups (p = 0.004), with an additional decrease in HbA1c levels in the IGr compared with the CGr (Diff-in-Diff HbA1c mean of − 0.481% points, p = 0.023). Moreover, compared with the baseline, the three-month CGM patterns showed a significant increase in the percentage of time in glucose range (+ 7.25; p = 0.011); a reduction in the percentage of time above 180 mg/dl (− 6.01; p = 0.045), a decrease in glycemic variability (− 3.94, p = 0.034); and improvements in dietary patterns, shown by a reduction in total caloric intake (− 197.66 Kcal/day; p = 0.0001). Conclusion Professional CGM contributes to reducing HbA1c levels and is an adjuvant educational tool that can improve glycemic control in patients with T2D. Trial registration ClinicalTrials.gov: NCT04667728. Registered 16/12/2020


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