scholarly journals Fasting plasma glucose and lipid profiles of diabetic patients improve with aerobic exercise training

2017 ◽  
Vol 51 (3) ◽  
pp. 120 ◽  
Author(s):  
Benjamin Asuako ◽  
Monday O. Moses ◽  
Benjamin A. Eghan ◽  
Peter A. Sarpong
Keyword(s):  
Exercise Training ◽  
Aerobic Exercise ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Lipid Profiles ◽  
Aerobic Exercise Training ◽  
Diabetic Patients ◽  
Fasting Plasma

scholarly journals Obese Hispanic Females Improved Plasma Glucose and Lipid Profiles Following Aerobic Exercise Training

2018 ◽  
Vol 50 (5S) ◽  
pp. 217
Author(s):  
Yonghyeon Jo ◽  
Kaylee Clyma ◽  
Katie Martin ◽  
Kyung-sin Park ◽  
Yunsuk Koh
Keyword(s):  
Exercise Training ◽  
Aerobic Exercise ◽  
Plasma Glucose ◽  
Lipid Profiles ◽  
Aerobic Exercise Training ◽  
Hispanic Females

scholarly journals Day-to-Day Variations in Fasting Plasma Glucose Do Not Influence Gastric Emptying in Subjects With Type 1 Diabetes

2020 ◽  
Author(s):  
Lea Aigner ◽  
Björn Becker ◽  
Sonja Gerken ◽  
Daniel R. Quast ◽  
Juris J. Meier ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Gastric Emptying ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Healthy Subjects ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Chronic Hyperglycemia ◽  
Fasting Plasma

<b>Objective:</b> Acute experimental variations in glycemia decelerate (hyperglycemia) or accelerate (hypoglycemia) gastric emptying. Whether spontaneous variations in fasting plasma glucose (FPG) have a similar influence on gastric emptying is yet unclear. <p><b>Research design and methods:</b> Gastric emptying of a mixed meal was prospectively studied three times in 20 patients with type 1 diabetes and 10 healthy subjects with normal glucose tolerance using a <sup>13</sup>C-CO<sub>2</sub> octanoate breath test with Wagner-Nelson analysis. The velocity of gastric emptying was related to fasting plasma glucose (FPG) measured before the test (grouped as low, intermediate, or high). In addition, gastric emptying data from 255 patients with type 1 diabetes studied for clinical indications were compared by tertiles of baseline FPG. </p> <p><b>Results:</b> Despite marked variations in FPG (by 4.8 (3.4; 6.2) mmol/l), gastric emptying did not differ between the three prospective examinations in patients with type 1 diabetes (D T<sub>1/2</sub> between highest and lowest FPG: 1 [95 % CI: -35; 37] min; p = 0.90). The coefficient of variation for T<sub>1/2 </sub>determined three times was 21.0 %. Similar results at much lower variations in FPG were found in healthy subjects. In the cross-sectional analysis, gastric emptying did not differ between the tertiles of FPG (D T<sub>1/2</sub> between highest and lowest FPG: 7 [95 % CI: - 10; 23] min; p = 0.66), when FPG varied by 7.2 (6.7; 7.8) mmol/l. However, higher HbA<sub>1c</sub> was significantly related to slower gastric emptying.</p> <p><b>Conclusions:</b> Day-to-day variations in FPG not induced by therapeutic measures do not influence gastric emptying significantly. These findings are in contrast with those obtained after rapidly clamping plasma glucose in the hyper- or hypoglycemic concentrations range and challenge the clinical importance of short-term glucose fluctuations for gastric emptying in type 1-diabetic patients. Rather, chronic hyperglycemia is associated with slowed gastric emptying.</p>

Hypoglycemia in Elderly Diabetic Patients with Good Glycemic Control attending Cardiology Out Patient Department of a Superspeciality Hospital

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Deepika Mittal ◽  
Purushottam Mittal
Keyword(s):  
Glycemic Control ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Diabetic Patients ◽  
Precipitating Factors ◽  
Good Glycemic Control ◽  
Glucose Levels ◽  
Fasting Plasma ◽  
Significant Difference ◽  
Hba1c Levels

Objective-Clinical trials and observational studies have provided good evidence that early glycemic control leads to a reduction in complications and improved survival in diabetics. However, elevated risk of mortality has been reported at both the lower and upper ends of long-term glucose levels. Fear of hypoglycemia has been a significant factor in suboptimal glycemic control. In this retrospective analysis we aimed to identify the incidence of hypoglycemia and their precipitating factors in elderly diabetics on good glycemic control. Material and methods- Ninety seven elderly diabetic patients attending the cardiology Out-Patients Department of a super speciality private sector hospital from 1 December 2017 to 30 November 2018 were studied retrospectively. Their demographic profile, co-morbidities and pharmacological profile were recorded. Incidence of hypoglycemic episodes and their precipitating factor were then analyzed. Result-Mean age was 71.7± 6.3 years, and 64 (66%) were male. Mean duration of diabetes was 7.3± 1.3 years. All patients had type II diabetes mellitus. Mean fasting and random capillary blood glucose levels were 116.5 ±8.7 mg/dl and 169.5±13.5mg/dl, respectively. Mean HbA1c levels of the study population was 6.8±1.14. Over the study period, 23 (23.7%) patients experienced 39 episodes of any level of hypoglycemia. HbA1c Levels in the hypoglycemia group were not significantly different from those in no-hyperglycemia group (6.85±1.13 vs. 6.63±1.04). Mean random plasma glucose values were slightly higher in no-hypoglycemia group (170.9±14.5 vs 164.9±14.9), but the difference did not reach the statistical significance. There was a markedly significant difference in mean fasting plasma glucose values between hypoglycemia and no-hypoglycemia group (101.8±8.9 vs 116.5±12.7). Sulphonylurea and insulin use was more frequent in patients experiencing hypoglycemia (9.6% and 52.2% respectively) as compared with no-hypoglycemia group (33.8% and 39.1% respectively). The most common preceding event was either skipping a meal in 12(30.8%) patients or an unplanned change in diet in 23% patients. Conclusion- Patients with longstanding diabetes and loss of warning symptoms have increased risk of severe hypoglycaemic episodes. Risk of the hypoglycemic episode is better correlated with fasting plasma glucose levels and glycemic variability rather than with HbA1c Level. Sulphonylurea drug use was the only group associated with a statistically significant risk of hypoglycemia. Skipping of a meal or a sudden change in the diet and alteration in antidiabetic drug regimen are the most important precipitating factors for hypoglycemia.

Variability of fasting plasma glucose increased risks of diabetic polyneuropathy in T2DM

Neurology ◽  
2017 ◽  
Vol 88 (10) ◽  
pp. 944-951 ◽  
Author(s):  
Chun-Pai Yang ◽  
Chia-Ing Li ◽  
Chiu-Shong Liu ◽  
Wen-Yuan Lin ◽  
Kai-Lin Hwang ◽  
...  
Keyword(s):  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Diabetic Polyneuropathy ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Related Factors ◽  
Fasting Plasma ◽  
Incident Cases ◽  
Type 2 Diabetic

Objective:To examine whether variations in fasting plasma glucose (FPG), as measured by the coefficient of variation (CV), is a predictor of diabetic polyneuropathy (DPN) risk, considering glycated hemoglobin (HbA1c) and other traditional risk factors.Methods:Type 2 diabetic patients enrolled in the National Diabetes Care Management Program were ≥30 years of age and free of DPN (n = 36,152). They were enrolled in 2002–2004 and were monitored until 2011. The related factors were analyzed using Cox proportional hazards regression models.Results:During an average 7.23 years of follow-up, a total of 7,219 incident cases of DPN were identified, with a crude incidence rate of 27.62/1,000 person-years (25.83 for men and 29.31 for women). After multivariate adjustment, both FPG-CV and HbA1c were significant predictors of DPN, with corresponding hazard ratios of 1.14 (95% confidence interval [CI] 1.05–1.23) and 1.15 (95% CI 1.06–1.24) for FPG-CV in the fourth to fifth quintiles and 1.13 (95% CI 1.07–1.20) for HbA1c ≥7%. This finding maintained consistency after excluding potential confounders in the sensitivity analysis, further validating the results.Conclusions:FPG-CV and HbA1c ≥7% were potent predictors of DPN in type 2 diabetic patients. The associations among HbA1c, glycemic variability, and DPN suggest a linked pathophysiologic mechanism, which may play a crucial role in clinical risk assessments.

scholarly journals Fasting plasma glucose variability predicts 10-year survival of type 2 diabetic patients: the Verona Diabetes Study

Diabetes Care ◽  
2000 ◽  
Vol 23 (1) ◽  
pp. 45-50 ◽  
Author(s):  
M. Muggeo ◽  
G. Zoppini ◽  
E. Bonora ◽  
E. Brun ◽  
R. C. Bonadonna ◽  
...  
Keyword(s):  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Glucose Variability ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Fasting Plasma ◽  
Type 2 Diabetic

scholarly journals Diagnosis of Muscle Fatigue Using Surface Electromyography and Analysis of Associated Factors in Type 2 Diabetic Patients with Neuropathy: A Preliminary Study

2021 ◽  
Vol 18 (18) ◽  
pp. 9635
Author(s):  
So Young Park ◽  
Chan Hyuk Park
Keyword(s):  
Muscle Fatigue ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Surface Electromyography ◽  
Medial Gastrocnemius ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Fasting Plasma ◽  
Type 2 Diabetic

Diabetic neuropathy (DN) is a major complication associated with diabetes mellitus (DM) and results in fatigue. We investigated whether type 2 diabetic patients with or without neuropathy experienced muscle fatigue and determined the most influencing factor on muscle fatigue. Overall, 15 out of 25 patients with type 2 DM were diagnosed with DN using a nerve conduction study in the upper and lower extremities, and the composite score (CS) was calculated. We obtained the duration of DM and body mass index (BMI) from subjects, and they underwent a series of laboratory tests including HbA1c, fasting plasma glucose, triglycerides, and high- and low-density lipoprotein. To qualify muscle fatigue, this study used surface electromyography (sEMG). Anode and cathode electrodes were attached to the medial gastrocnemius. After 100% isometric maximal voluntary contracture of plantarflexion, the root mean square, median frequency (MDF), and mean power frequency (MNF) were obtained. We showed a correlation among laboratory results, duration of DM, BMI, CS, and parameters of muscle fatigue. The duration of DM was related to fatigue of the muscle and CS (p < 0.05). However, CS was not related to fatigue. The MDF and MNF of muscle parameters were positively correlated with HbA1c and fasting plasma glucose (p < 0.05). In conclusion, we suggest that the duration of DM and glycemic control play important roles in muscle fatigue in patients with DN. Additionally, sEMG is useful for diagnosing muscle fatigue in patients with DN.

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