scholarly journals Body Mass Index, Fasting Plasma Glucose Levels, and C-peptide Levels as Predictors of the Future Insulin Use in Japanese Type 2 Diabetic Patients

2010 ◽  
Vol 57 (3) ◽  
pp. 237-244 ◽  
Author(s):  
Atsushi GOTO ◽  
Maki TAKAICHI ◽  
Miyako KISHIMOTO ◽  
Yoshihiko TAKAHASHI ◽  
Hiroshi KAJIO ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
C Peptide ◽  
Glucose Levels ◽  
Insulin Use ◽  
Type 2 Diabetic

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.

Sign in / Sign up

Export Citation Format

Share Document