scholarly journals Does poor glycaemic control affect the immunogenicity of the COVID‐19 vaccination in patients with type 2 diabetes: The CAVEAT study

2021 ◽  
Author(s):  
Raffaele Marfella ◽  
Nunzia D'Onofrio ◽  
Celestino Sardu ◽  
Lucia Scisciola ◽  
Paolo Maggi ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Poor Glycaemic Control

Plasma osteoprotegerin as a biomarker of poor glycaemic control that predicts progression of albuminuria in type 2 diabetes mellitus: A 3-year longitudinal cohort study

2020 ◽  
Vol 161 ◽  
pp. 107992
Author(s):  
Angela Mei Chung Moh ◽  
Sharon Li Ting Pek ◽  
Jianjun Liu ◽  
Jiexun Wang ◽  
Tavintharan Subramaniam ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Glycaemic Control ◽  
Longitudinal Cohort Study ◽  
Poor Glycaemic Control ◽  
Longitudinal Cohort

scholarly journals Midlife type 2 diabetes and poor glycaemic control as risk factors for cognitive decline in early old age: a post-hoc analysis of the Whitehall II cohort study

2014 ◽  
Vol 2 (3) ◽  
pp. 228-235 ◽  
Author(s):  
Richard H Tuligenga ◽  
Aline Dugravot ◽  
Adam G Tabák ◽  
Alexis Elbaz ◽  
Eric J Brunner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cohort Study ◽  
Glycaemic Control ◽  
Old Age ◽  
Poor Glycaemic Control ◽  
Post Hoc Analysis ◽  
Post Hoc ◽  
Early Old Age

scholarly journals Correction to: Persistent poor glycaemic control in individuals with type 2 diabetes in developing countries: 12 years of real-world evidence of the International Diabetes Management Practices Study (IDMPS)

Diabetologia ◽  
2020 ◽  
Vol 63 (5) ◽  
pp. 1088-1089
Author(s):  
Pablo Aschner ◽  
Juan J. Gagliardino ◽  
Hasan Ilkova ◽  
Fernando Lavalle ◽  
Ambady Ramachandran ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Developing Countries ◽  
Glycaemic Control ◽  
Real World ◽  
Management Practices ◽  
Diabetes Management ◽  
Poor Glycaemic Control ◽  
Real World Evidence

scholarly journals Glycaemic control in type 2 diabetes patients and its predictors: a retrospective database study at a tertiary care diabetes centre in Ningbo, China

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e019697 ◽  
Author(s):  
Jialin Li ◽  
Kaushik Chattopadhyay ◽  
Miao Xu ◽  
Yanshu Chen ◽  
Fangfang Hu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Rural Areas ◽  
Tertiary Care ◽  
Fasting Blood Glucose ◽  
Information Management System ◽  
Cross Sectional ◽  
Poor Glycaemic Control

ObjectivesThe objectives of the study were to assess glycaemic control in patients with type 2 diabetes (T2DM) at a tertiary care diabetes centre in Ningbo, China and to determine factors that independently predict their glycaemic control.DesignRetrospective cross-sectional study using an existing database, the Diabetes Information Management System.SettingTertiary care diabetes centre in Ningbo, China.ParticipantsThe study included adult patients with T2DM, registered and received treatment at the diabetes centre for at least six consecutive months. The study inclusion criteria were satisfied by 1387 patients, from 1 July 2012 to 30 June 2017.Primary outcome measureGlycaemic control (poor was defined as glycated haemoglobin (HbA1c)>=7% or fasting blood glucose (FBG)>7.0 mmol/L).ResultsIn terms of HbA1c and FBG, the 5-year period prevalence of poor glycaemic control was 50.3% and 57.3%, respectively. In terms of HbA1c and FBG, the odds of poor glycaemic control increased with the duration of T2DM (>1 to 2 years: OR 1.84, 95% CI 1.06 to 3.19; >2 to 4 years: 3.32, 1.88 to 5.85 and >4 years: 5.98, 4.09 to 8.75 and >1 to 2 years: 2.10, 1.22 to 3.62; >2 to 4 years: 2.48, 1.42 to 4.34 and >4 years: 3.34, 2.32 to 4.80) and were higher in patients residing in rural areas (1.68, 1.24 to 2.28 and 1.42, 1.06 to 1.91), with hyperlipidaemia (1.57, 1.12 to 2.19 and 1.68, 1.21 to 2.33), on diet, physical activity and oral hypoglycaemic drug (OHD) as part of their T2DM therapeutic regimen (1.80, 1.01 to 3.23 and 2.40, 1.36 to 4.26) and on diet, physical activity, OHD and insulin (2.47, 1.38 to 4.41 and 2.78, 1.58 to 4.92), respectively.ConclusionsMore than half of patients with T2DM at the diabetes centre in Ningbo, China have poor glycaemic control, and the predictors of glycaemic control were identified. The study findings could be taken into consideration in future interventional studies aimed at improving glycaemic control in these patients.

scholarly journals Clinical Inertia in Type 2 Diabetes Mellitus: Time in Poor Glycaemic Control Until Treatment Intensification in Patients on DPP-4I And/Or SGLT-2I Treatment

2017 ◽  
Vol 20 (9) ◽  
pp. A495
Author(s):  
S Lanzinger ◽  
H Kalscheuer ◽  
R Welp ◽  
A Zimmermann ◽  
S Propp ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycaemic Control ◽  
Clinical Inertia ◽  
Treatment Intensification ◽  
Poor Glycaemic Control

scholarly journals The impact of poor glycaemic control on the prevalence of erectile dysfunction in men with type 2 diabetes mellitus: a systematic review

JRSM Open ◽  
2016 ◽  
Vol 7 (3) ◽  
pp. 205427041562260 ◽  
Author(s):  
Turki A Binmoammar ◽  
Sondus Hassounah ◽  
Saad Alsaad ◽  
Salman Rawaf ◽  
Azeem Majeed
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Erectile Dysfunction ◽  
Glycaemic Control ◽  
Poor Glycaemic Control ◽  
The Impact

scholarly journals Patient-Related Determinants of Glycaemic Control in People with Type 2 Diabetes in the Gulf Cooperation Council Countries: A Systematic Review

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Mohammed J. Alramadan ◽  
Afsana Afroz ◽  
Sultana Monira Hussain ◽  
Mohammed Ali Batais ◽  
Turky H. Almigbal ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Dietary Habits ◽  
Healthcare Providers ◽  
Arabian Gulf ◽  
Quality Factors ◽  
Related Factors ◽  
Poor Glycaemic Control

The aim of this systematic review is to assess patient-related factors affecting glycaemic control among people with type 2 diabetes in the Arabian Gulf Council countries. MEDLINE, Embase, PsycINFO, CINAHL, and Cochrane CENTRAL databases were searched from their date of inception to May 2016. Two researchers independently identified eligible studies and assessed the risk of bias. A total of 13 studies met the inclusion criteria. One study was population based, six recruited participants from multiple centres, and the remaining were single centred. The majority of the studies were of low to moderate quality. Factors associated with poor glycaemic control include longer duration of diabetes, low level of education, poor compliance to diet and medication, poor attitude towards the disease, poor self-management behaviour, anxiety, depression, renal impairment, hypertension, and dyslipidaemia. Healthcare providers should be aware of these factors and provide appropriate education and care especially for those who have poor glycaemic control. Innovative educational programs should be implemented in the healthcare systems to improve patient compliance and practices. A variation in the results of the included studies was observed, and some potentially important risk factors such as dietary habits, physical activity, family support, and cognitive function were not adequately addressed. Further research is needed in this area.

C-106T Polymorphism in Promoter of Aldose Reductase Gene Is a Risk Factor for Diabetic Nephropathy in Type 2 Diabetes Patients with Poor Glycaemic Control

2005 ◽  
Vol 99 (3) ◽  
pp. e63-e67 ◽  
Author(s):  
Katarzyna Gosek ◽  
Dariusz Moczulski ◽  
Ewa Zukowska-Szczechowska ◽  
Wladyslaw Grzeszczak
Keyword(s):  
Type 2 Diabetes ◽  
Risk Factor ◽  
Diabetic Nephropathy ◽  
Glycaemic Control ◽  
Aldose Reductase ◽  
Poor Glycaemic Control ◽  
Reductase Gene ◽  
Diabetes Patients

Patient Characteristics do not Predict Poor Glycaemic Control in type 2 Diabetes Patients Treated in Primary Care

2003 ◽  
Vol 19 (6) ◽  
pp. 541-545 ◽  
Author(s):  
Alex N. Goudswaard ◽  
Ronald P. Stolk ◽  
Peter Zuithoff ◽  
Guy E.H.M. Rutten
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Glycaemic Control ◽  
Patient Characteristics ◽  
Poor Glycaemic Control ◽  
Diabetes Patients

scholarly journals Muscle Strength and Glycaemic Control among Patients with Type 2 Diabetes

2020 ◽  
Author(s):  
Haya Abduhijleh ◽  
Joud Alalwani ◽  
Dana Alkhatib ◽  
Hiba Bawadi
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Muscle Strength ◽  
Glycaemic Control ◽  
Handgrip Strength ◽  
Poor Glycaemic Control ◽  
Patients With Diabetes ◽  
Insulin Use

Background: The prevalence of diabetes has been rising sharply since 1980, reaching 422 million cases worldwide in 2014. Physical activity and handgrip strength may be associated with good glycaemic control among patients with diabetes Objective: We tested the association between handgrip strength and glycemic control in type 2 diabetes patients, from National Health and Nutritional Examination Survey NHANES 2011-2014 and the contribution of the study covariates to this association. Hypothesis: Muscle strength is positively associated with glycemic control in type two diabetes. Methodology: This cross-sectional study examined the association between handgrip strength and glycaemic control among patients with diabetes. Data on 1058 participants aged 40 and older were collected from the NHANES. Muscle strength was assessed using a handgrip dynamometer, and blood samples were obtained to observe the glycaemic control values. Height, body weight, physical activity, insulin use, smoking status, alcohol use, participant demographics, and income-to-poverty ratio were all considered in the study. Results: logistic regression analysis was used to assess the association between handgrip strength and poor glycaemic control among participants with diabetes. Three models were used, each model adjusted to include different variables. OR values revealed no association between handgrip strength and glycaemic control. However, model 2, which was adjusted for sedentary activity, income-topoverty ratio, education, and smoking, shows a trend towards an association. Patients in quartile 4 of handgrip had 0.59 odds of poor glycaemic control, OR = 0.59 (95% CI: 0.34–1.02). However, in model 3 this effect was diluted when further adjusted for insulin use, OR = 0.81 (95% CI: 0.47– 1.38). Further analysis was performed to examine the mean decline in handgrip strength among non-insulin and insulin users. Non-insulin users, both men and women, have higher handgrip strength as compared to insulin users. Conclusion: There was no association found between handgrip and glycaemic control among patients with diabetes.

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