scholarly journals Comparison of CGM-Derived Measures of Glycemic Variability Between Pancreatogenic Diabetes and Type 2 Diabetes Mellitus

2019 ◽  
Vol 15 (1) ◽  
pp. 134-140 ◽  
Author(s):  
Channabasappa Shivaprasad ◽  
Yalamanchi Aiswarya ◽  
Shah Kejal ◽  
Atluri Sridevi ◽  
Biswas Anupam ◽  
...  

Background: To compare glycemic variability (GV) indices between patients with fibrocalculous pancreatic diabetes (FCPD) and type 2 diabetes mellitus (T2D) using continuous glucose monitoring (CGM). Methods: We measured GV indices using CGM (iPro™2 Professional CGM, Medtronic, USA) data in 61 patients each with FCPD and T2D who were matched for glycated hemoglobin A1c (HbA1c) and duration of diabetes. GlyCulator2 software was used to estimate the CGM-derived measures of GV (SD, mean amplitude of glycemic excursion [MAGE], continuous overall net glycemic action [CONGA], absolute means of daily differences [MODD], M value, and coefficient of variance [%CV]), hypoglycemia (time spent below 70 mg/dL, AUC below 70 mg/dL, glycemic risk assessment diabetes equation hypoglycemia, Low Blood Glucose Index), and hyperglycemia (time spent above 180 mg/dL at night [TSA > 180], AUC above 180 mg/dL [AUC > 180], glycemic risk assessment diabetes equation hyperglycemia, High Blood Glucose Index [HBGI], and J index). The correlation of GV indices with HbA1c, duration of diabetes, and demographic and biochemical parameters were also assessed. Results: All the CGM-derived measures of GV (SD, MAGE, CONGA, MODD, and %CV), except M value, were significantly higher in the FCPD group than in the T2D group ( P < 0.05). Measures of hyperglycemia (TSA >180, AUC >180, HBGI, and J index) were significantly higher in the FCPD group than in the T2D group ( P < 0.05). The measures of hypoglycemia were not significantly different between the two groups. All the hyperglycemia indices showed a positive correlation with HbA1c in both groups. Conclusions: FCPD is associated with higher GV than is T2D. The findings of higher postprandial glycemic excursions in patients with FCPD could have potential therapeutic implications.

2018 ◽  
Vol 12 (5) ◽  
pp. 1007-1015 ◽  
Author(s):  
Ana M. Gómez ◽  
Oscar M. Muñoz ◽  
Alejandro Marin ◽  
Maria Camila Fonseca ◽  
Martin Rondon ◽  
...  

Introduction: Recent publications frequently introduce new indexes to measure glycemic variability (GV), quality of glycemic control, or glycemic risk; however, there is a lack of evidence supporting the use of one particular parameter, especially in clinical practice. Methods: A cohort of type 2 diabetes mellitus (T2DM) patients in ambulatory care were followed using continuous glucose monitoring sensors (CGM). Mean glucose (MG), standard deviation, coefficient of variation (CV), interquartile range, CONGA1, 2, and 4, MAGE, M value, J index, high blood glucose index, and low blood glucose index (LBGI) were estimated. Hypoglycemia incidence (<54 mg/dl) was calculated. Area under the curve (AUC) was determined for different indexes as identifiers of patients with risk of hypoglycemia (IRH). Optimal cutoff thresholds were determined from analysis of the receiver operating characteristic curves. Results: CGM data for 657 days from 140 T2DM patients (4.69 average days per patient) were analyzed. Hypoglycemia was present in 50 patients with 144 hypoglycemic events in total (incidence rate of 0.22 events per patient/day). In the multivariate analysis, both CV (OR 1.20, 95% CI 1.12-1.28, P < .001) and LBGI (OR 4.83, 95% CI 2.41-9.71, P < .001) were shown to have a statistically significant association with hypoglycemia. The highest AUC were for CV (0.84; 95% CI 0.77-0.91) and LBGI (0.95; 95% CI 0.92-0.98). The optimal cutoff threshold for CV as IRH was 34%, and 3.4 for LBGI. Conclusion: This analysis shows that CV can be recommended as the preferred parameter of GV to be used in clinical practice for T2DM patients. LBGI is the preferred IRH between glycemic risk indexes.


2011 ◽  
Vol 3 ◽  
pp. CMT.S6227 ◽  
Author(s):  
Kathryn MS Johnson ◽  
Kathleen Schurr

Type 2 diabetes mellitus (T2DM) has become an epidemic, with worldwide projections indicating that more than 336 million people will be afflicted with the disease by 2030. T2DM is characterized by inappropriately high blood glucose levels due to a deficiency in insulin secretion, action, or both. Despite the horrific complications that occur with chronic elevations of blood glucose levels, less than half of those with T2DM do not maintain proper glycemic control. Sitagliptin (Januvia, Merck and Co., Whitehouse Station, New Jersey) is a novel diabetes therapy approved for use in the U.S. and Europe. This small molecule inhibits the activity of DPP-4, a peptidase that degrades the glucoregulatory hormone GLP-1. Sitagliptin increases glucoregulation in individuals with T2DM both as a monotherapy and in combination with other antihyperglycemic drugs, with a low risk of adverse side effects.


Author(s):  
Lakshmi Ravansamudram Hariharan ◽  
Jayanty Venakata Balasubra Maniyan

Introduction: A refined diagnostic and classification strategy incorporating phenotypic characteristics of patients with Type 2 Diabetes Mellitus (T2DM) along with their blood glucose profile, lipid levels and evidence of Nonalcoholic Fatty Liver Disease (NAFLD) will help in identifying high risk population. Aim: To determine the prevalence and assess the clinical characteristics of NAFLD in T2DM patients from August 2016 to February 2017. Materials and Methods: This cross-sectional analysis was conducted on 100 T2DM patients with no history of alcohol intake, at the time of their screening. Physical examination and anthropometric measurements such as Body Mass Index (BMI) and Waist to Hip Ratio (WHR) were calculated. Fasting Blood Glucose (FBG), Post-Prandial Blood Glucose (PPBG), glycated haemoglobin (HbA1c), serum bilirubin, liver enzymes, lipid profile and ultrasound of the abdomen to diagnose NAFLD were done. Statistical analysis was carried out using student’s t-test and Statistical Package for the Social Sciences (SPSS) Version 19. Results: The prevalence of NAFLD in T2DM patients was 52%. The mean age was 52.27±1.82 years, with 40% males in the study cohort. There was a significant statistical correlation between the higher BMI (p<0.001), higher WHR (p=0.046), prevalence of upper body obesity (p<0.001) and the presence of NAFLD. The glycaemic control was poorer in patients with NAFLD with higher FBG (p=0.0027), PPBG (p=0.0027) and HbA1c p<0.001) than the non-NAFLD group. The serum cholesterol, triglycerides, Serum Glutamic Pyruvic Transaminase (SGPT), Serum Glutamic Oxaloacetic Transaminase (SGOT) were significantly higher in the NAFLD group. Duration of diabetes was not significantly different among the groups. Conclusion: The incidence of NAFLD is common in T2DM patients with poor glycaemic control, dyslipidaemia, and obesity being associated factors. Duration of diabetes is not a significant predictor of NAFLD.


2021 ◽  
pp. 56-64
Author(s):  
Nursalinda Kusumawati ◽  
Haryoto Haryoto ◽  
Peni Indrayudha

Type 2 diabetes mellitus is a chronic disease of the digestive system characterized by high blood glucose levels. The main enzyme in carbohydrate metabolism is α-glucosidase. One of the therapeutic approaches to treat T2DM is to make glucose uptake into the blood delayed through inhibition of the α-glucosidase enzyme activity. Neem leaves and mango ginger are reported to reduce blood glucose levels. This study aims to determine the potential inhibitor of neem leaves extract and mango ginger extract and their respective fractions on α-glucosidase activity. Simplicia of neem leaves and mango ginger were macerated using 96% ethanol for 24 hours. The ethanol extract of neem leaves and mango rhizome were fractionated using silica gel 60 GF254 as adsorbent and a combination of ethyl acetate and n-hexane as eluent. The extracts of neem leaves and mango rhizome and fractions of both plants were tested for α-glucosidase inhibition with acarbose as a comparison. The results showed that both plants provided inhibitory activity on α-glucosidase with the lowest IC50 value from the semi-polar fraction of neem leaves about 24.16±4.58 μg/mL. Neem leaves and mango ginger have potential as α-glucosidase inhibitors to treat type 2 diabetes mellitus.


Author(s):  
Shiv Prasad Bahal ◽  
Sumit Saxena ◽  
Anurag Srivastava

Background: Epidemiological transitions in India in the 21st century have led to non-communicable diseases becoming a major public health problem of growing magnitude. One of the important diseases in this respect is diabetes, which is considered a “disease of urbanization”. Risk factors for type 2 diabetes mellitus are: age, gender, ethnicity, family history, obesity, inactivity, gestational diabetes, hypertension, cardiovascular diseases, high blood glucose on previous testing, impaired glucose tolerance and glycated hemoglobin ≥5.7%.Methods: A community based cross- sectional study was conducted in urban slums which are the field practice area of Community Medicine department under the head of Teerthanker Mahaveer Medical College and Research Center, Moradabad. The final analysis was conducted on 640 participants. Each interview began with a general discussion to build rapport with the participants. Repeat visit was made on the consecutive day early in the morning to measure fasting blood glucose level with the help of Glucometer.Results: The overall prevalence of diabetes mellitus in the present study was found to be 15.6%. Maximum prevalence of diabetes mellitus was found between the age group of 60-69 years i.e. 44 (28.0%) followed by 26 (19.6%) in 50-59 years and 22 (18.1%) in 40-49 age group. In socioeconomic status, the prevalence of diabetes mellitus was 18 (21.6%) and 26 (25.2%) in class I and class II respectively.Conclusions: Based on study findings it has been observed that there was statistically significant association between socio-demographic variables like age, sex, education, socioeconomic status and type 2 diabetes mellitus. 


2019 ◽  
Vol 7 (3) ◽  
pp. 52 ◽  
Author(s):  
Ankur Joshi ◽  
Arun Mitra ◽  
Nikhat Anjum ◽  
Neelesh Shrivastava ◽  
Sagar Khadanga ◽  
...  

Background: Variations in blood glucose levels over a given time interval is termed as glycemic variability (GV). Higher GV is associated with higher diabetes-related complications. The current study was done with the aim of detecting the sensitivity of various GV indices among individuals with type 2 diabetes mellitus of different glycemic control status. Methods: We performed a longitudinal study among individuals with type 2 diabetes mellitus (T2DM) who were participating in a two-week diabetes self-management education (DSME) program. Participants were categorized by their HbA1c as poor (≥8%), acceptable (7%–8%), and optimal control (<7%). Continuous glucose monitoring (CGM) sensors recorded interstitial glucose every 15 min from day 1. The evaluated GV measures include standard deviation (SD), coefficient of variation (CV), mean amplitude of glycemic excursion (MAGE), continuous overlapping net glycemic action (CONGA), mean of daily difference for inter-day variation (MODD), high blood glucose index (HBGI), and low blood glucose index (LBGI). Results: A total of 41 study participants with 46347 CGM values were available for analysis. Of 41 participants, 20 (48.7%) were in the poor, 10 (24.3%) in the acceptable, and 11 (26.8%) in the optimal control group. The GV indices (SD; CV; MODD; MAGE; CONGA; HBGI) of poorly controlled (77.43; 38.02; 45.82; 216.63; 14.10; 16.62) were higher than acceptable (50.02; 39.32; 30.79; 138.01; 8.87; 5.56) and optimal (34.15; 29.46; 24.56; 126.15; 8.67; 3.13) control group. Glycemic variability was reduced in the poorly and acceptably controlled groups by the end of the 2-week period. There was a rise in LBGI in the optimally controlled group, indicating pitfalls of tight glycemic control. Conclusion: Indices of glycemic variability are useful complements, and changes in it can be demonstrated within short periods.


2013 ◽  
pp. 1-1
Author(s):  
Gbadebo Ajani ◽  
Rosemary Ikem ◽  
Adenike Enikuomehin ◽  
David Soyoye ◽  
Babatope Kolawole

Epigenomics ◽  
2021 ◽  
Author(s):  
Marwa Matboli ◽  
Doaa Ibrahim ◽  
Amany H Hasanin ◽  
Mohamed Kamel Hassan ◽  
Eman K Habib ◽  
...  

Aim: To assess isorhamnetin efficacy for diabetic kidney disease in a Type 2 diabetes mellitus rat model, through investigating its effect at the epigenetic, mRNA and protein levels. Materials & methods: Type 2 diabetes mellitus was induced in rats by streptozotocin and high-fat diet. Rats were treated with isorhamnetin (50 mg/kg/d) for 4 or 8 weeks. Fasting blood glucose, renal and lipid profiles were evaluated. Renal tissues were examined by light and electron microscopy. Autophagy genes ( FYCO1, ULK, TECPR1 and  WIPI2) and miR-15b, miR-34a and miR-633 were assessed by qRT-PCR, and LC3A/B by immunoblotting. Results: Isorhamnetin improved fasting blood glucose, renal and lipid profiles with increased autophagosomes in renal tissues. It suppressed miRNA regulation of autophagy genes Conclusion: We propose a molecular mechanism for the isorhamnetin renoprotective effect by modulation of autophagy epigenetic regulators.


2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yonghuan Bian ◽  
Changhao Liu ◽  
Zhaojiang Fu

Abstract Background Our study attempted to observe the value of periodontal curettage combined with root planing on moderate-to-severe chronic periodontitis in patients with type 2 diabetes. Methods There involved 72 patients with type 2 diabetes mellitus complicated with moderate-to-severe chronic periodontitis who were diagnosed and treated in our hospital from January 2019 to December 2019. The patients enrolled were randomly divided into four groups using a computer-generated table: root planing and periodontal curettage combined group (n = 18), root planning group (n = 18), periodontal curettage group (n = 18) and cleansing group (n = 18). Blood glucose, plaque index (PI), gingival index (GI), probing depth (PD), attachment loss (AL), serum levels of inflammatory factors (Tumor Necrosis Factor Alpha [TNF- α] and hypersensitive C-reactive protein [hs-CRP]) were observed before and after treatment. The collecting dates were analyzed by the chi-square χ 2 test, repeated measurement analysis of variance, or t-test according to different data types and research objectives. Results Before treatment, there was no significant difference in PI, GI, PD and AL among the four groups (P> 0.05), while after 3-month treatment, the levels of PI, GI, PD and AL in the combined group were lower than those in the root planing group, periodontal curettage group and cleansing group, with both root planing group and periodontal curettage group significantly lower than cleansing group (P< 0.05). The fasting blood glucose, 2-h postprandial blood glucose and glycosylated hemoglobin in the combined group, root planing group, periodontal curettage group and cleansing group were significantly lower than those before treatment (P < 0.05). Before treatment, there was no significant difference in TNF- α and hs-CRP among the four groups (P> 0.05), but the levels of TNF- α and hs-CRP in the four groups decreased significantly after 3-month treatment (P< 0.05). The levels of TNF- α and hs-CRP in the combined group were lower than those in the root planing group, periodontal curettage group and cleansing group, and those in the root planing group and periodontal curettage group were significantly lower than those in the cleansing group (P< 0.05). Conclusion The combination therapy of periodontal curettage and root planing exerted beneficial effects on moderate-to-severe chronic periodontitis in patients with type 2 diabetes mellitus, which holds the potential to maintain the level of blood glucose and improve the quality of life of the patients.


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