scholarly journals Postprandial Blood Glucose Predicts Cardiovascular Events and All-Cause Mortality in Type 2 Diabetes in a 14-Year Follow-Up: Lessons from the San Luigi Gonzaga Diabetes Study

Diabetes Care ◽  
2011 ◽  
Vol 34 (10) ◽  
pp. 2237-2243 ◽  
Author(s):  
F. Cavalot ◽  
A. Pagliarino ◽  
M. Valle ◽  
L. Di Martino ◽  
K. Bonomo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Cardiovascular Events ◽  
Postprandial Blood Glucose ◽  
All Cause Mortality

A Prospective Study of the Clinical and Demographic Profile of Type 2 Diabetes Mellitus Patients Receiving Antidiabetic Drug Combinations

2020 ◽  
Vol 16 (5) ◽  
pp. 503-508
Author(s):  
Akash Gadgade ◽  
Ashok S. Kudgi ◽  
Ashwin Kamath ◽  
Priyanka Kamath ◽  
Prabha Adhikari ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Blood Glucose ◽  
Dose Escalation ◽  
Tertiary Care ◽  
Postprandial Blood Glucose ◽  
Antidiabetic Treatment

Background: The specific treatment recommendations for type 2 diabetes mellitus (T2DM) differ based on a particular guideline. The goal of pharmacotherapy is to achieve the target HbA1c and fasting and postprandial blood glucose levels to avoid disease complications. Objective: To evaluate the profile of T2DM patients on different antidiabetic treatment regimens and the factors leading to dose escalation in these patients. Methods: A prospective descriptive study was conducted at Kasturba Medical College Hospital, Mangalore, a tertiary care teaching hospital, over a period of one year. The study population comprised of patients with T2DM for ≥5 years. The demographic and clinical data were collected during the baseline and follow-up visits. Results: Of the 119 patients studied, 59.7% were males; 32.8% were ≥65 years of age. A significant decrease in the fasting blood glucose (FBG) on follow-up was seen (p = 0.028) in patients on sulfonylurea and metformin combination. A significant decrease in the glycated haemoglobin (HbA1c) was seen in patients on sulfonylurea with metformin and pioglitazone (p = 0.011); sulfonylurea with metformin, pioglitazone, and sitagliptin (p = 0.026); and metformin with insulin (p = 0.001). Patients who received dose escalation had a longer duration of the disease (p = 0.042), higher FBG (p = 0.039) and HbA1c (p = 0.05). Conclusion: A combination of metformin with sulfonylurea was the preferred first-line treatment; insulin was added when HbA1c was >9. Patients who received dose escalation had a longer duration of the disease and higher FBG and HbA1c.

453-P: Metabolic Syndrome Severity Score, All-Cause Mortality, and Incident Vascular Events in Type 2 Diabetes: A 13-Year, Single-Centre, Follow-Up Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 453-P
Author(s):  
MONIA GAROFOLO ◽  
ELISA GUALDANI ◽  
DANIELA LUCCHESI ◽  
LAURA GIUSTI ◽  
VERONICA SANCHO-BORNEZ ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Severity Score ◽  
Single Centre ◽  
Vascular Events ◽  
Follow Up Study ◽  
All Cause Mortality

Gelatinisation and milling whole-wheat increases postprandial blood glucose: randomised crossover study of adults with type 2 diabetes

Diabetologia ◽  
2021 ◽  
Author(s):  
Mona M. Elbalshy ◽  
Andrew N. Reynolds ◽  
Evelyn Mete ◽  
Caleb Robinson ◽  
Indrawati Oey ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Crossover Study ◽  
Postprandial Blood Glucose ◽  
Whole Wheat

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

2019 ◽  
Vol 121 (5) ◽  
pp. 560-566 ◽  
Author(s):  
Jiahui Peng ◽  
Jingyi Lu ◽  
Xiaojing Ma ◽  
Lingwen Ying ◽  
Wei Lu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Mean Amplitude ◽  
Randomised Clinical Trial ◽  
Postprandial Blood Glucose ◽  
Glycaemic Variability ◽  
Intervention Measures ◽  
Before And After

AbstractThere 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.

scholarly journals The Research of Improved Grey GM (1, 1) Model to Predict the Postprandial Glucose in Type 2 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Yannian Wang ◽  
Fenfen Wei ◽  
Changqing Sun ◽  
Quanzhong Li
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Prediction Model ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Original Data ◽  
Postprandial Glucose ◽  
Postprandial Blood Glucose ◽  
Glucose Prediction

Diabetes may result in some complications and increase the risk of many serious health problems. The purpose of clinical treatment is to carefully manage the blood glucose concentration. If the blood glucose concentration is predicted, treatments can be taken in advance to reduce the harm to patients. For this purpose, an improved grey GM (1, 1) model is applied to predict blood glucose with a small amount of data, and especially in terms of improved smoothness it can get higher prediction accuracy. The original data of blood glucose of type 2 diabetes is acquired by CGMS. Then the prediction model is established. Finally, 50 cases of blood glucose from the Henan Province People’s Hospital are predicted in 5, 10, 15, 20, 25, and 30 minutes, respectively, in advance to verify the prediction model. The prediction result of blood glucose is evaluated by the EGA, MSE, and MAE. Particularly, the prediction results of postprandial blood glucose are presented and analyzed. The result shows that the improved grey GM (1, 1) model has excellent performance in postprandial blood glucose prediction.

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