scholarly journals The prevalence and determinants of poor glycemic control among adults with type 2 diabetes mellitus in Saudi Arabia

2018 ◽  
Vol Volume 11 ◽  
pp. 15-21 ◽  
Author(s):  
Riyadh Alzaheb ◽  
Abdullah Altemani
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Saudi Arabia ◽  
Glycemic Control ◽  
Poor Glycemic Control

scholarly journals Laboratory Parameters of Hemostasis, Adhesion Molecules, and Inflammation in Type 2 Diabetes Mellitus: Correlation with Glycemic Control

2020 ◽  
Vol 17 (1) ◽  
pp. 300 ◽  
Author(s):  
Eleonora Palella ◽  
Rossella Cimino ◽  
Salvatore A. Pullano ◽  
Antonino S. Fiorillo ◽  
Elio Gulletta ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Adhesion Molecules ◽  
Adhesion Molecule ◽  
Vascular Complications ◽  
Poor Glycemic Control ◽  
Pai 1

Background: Type 2 diabetes mellitus (T2DM) is characterized by a prothrombotic state, predisposing to vascular complications. Some related markers, linking thrombophilia to hemostasis and inflammation, however, have been poorly explored in relation to patients’ glycemia. We therefore investigated the association of laboratory hemostatic parameters, circulating adhesion molecules (ADMs), white blood cell (WBC) count, and neutrophil/lymphocyte ratio (NLR) with T2DM and glycemic control. Research design: In this study, 82 subjects, grouped into T2DM patients (n = 41) and healthy individuals (n = 41) were enrolled. To evaluate glycemic control, the T2DM cohort was expanded to 133 patients and sub-classified according to glycated hemoglobin (HbA1c) <7% and ≥ 7% (n = 58 and n = 75, respectively). We assessed glycemia, HbA1c, prothrombin time (PT), activated partial thromboplastin time (aPTT), fibrinogen, plasminogen activator inhibitor-1 (PAI-1), platelet and leukocyte parameters, vascular cell adhesion molecule 1 (VCAM-1), intercellular adhesion molecule 1 (ICAM-1), and selectins (E-, P-, L-). Results: PT % activity, PAI-1, VCAM-1, WBC, and neutrophil counts were significantly higher in T2DM patients than in healthy subjects. Poor glycemic control (HbA1c ≥ 7%) was correlated with increased PT activity (p = 0.015), and higher levels of E-selectin (p = 0.009), P-selectin (p = 0.012), and NLR (p = 0.019). Conclusions: Both T2DM and poor glycemic control affect some parameters of hemostasis, inflammation, and adhesion molecules. Further studies are needed to establish their clinical utility as adjuvant markers for cardio-vascular risk in T2DM patients.

scholarly journals Utility of Triglyceride-Glucose index in predicting glycemic control in type 2 diabetes mellitus

2021 ◽  
Vol 6 (2) ◽  
pp. 1444-1448
Author(s):  
Santosh Timalsina ◽  
Shishir Mahato ◽  
Sandesh Nepal
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Demographic Data ◽  
Predictive Ability ◽  
Poor Glycemic Control ◽  
Control Group ◽  
Tyg Index

Introduction: Insulin resistance (IR) and glycemic control are two very important aspects to be considered during management of patients with Type 2 Diabetes Mellitus (T2DM). The triglyceride-glucose (TyG) index has been proposed as a simple and inexpensive parameter that correlates well with IR and glycemic control. Objectives: To explore the association of TyG index (and other TyG derived indices) with glycated hemoglobin (HbA1c) and evaluate their predictive ability for glycemic control in patients with T2DM. Methodology: This cross-sectional study comprised of 160 adult patients diagnosed with T2DM visiting the medical outpatient department of Chitwan Medical College, Bharatpur, Chitwan between July–December 2019. Socio-demographic data and anthropometric measurements were collected. Glycemic control was assessed by HbA1c. TyG index was calculated by the formula: ln [fasting TG (mg/dl) x fasting glucose (mg/dl)/2]. Receiver operating characteristic (ROC) curve analysis was performed to analyze the predictive ability of TyG-index for poor glycemic control. Results: One hundred and sixty patients (mean age: 53.6 ± 10.7 years, 55.0% males) were included in the study. Eighty (50.0%) had good glycemic control (HbA1c <7.0%). TyG index, along with TyG-BMI and TyG-WC (other TyG derived indices) were significantly increased in the poor glycemic control group. TyG index had a good predictive ability for poor glycemic control (AUC: 0.803, 95% CI: 0.731 – 0.874). A TyG cutoff ≥ 9.12 was optimal for predicting poor glycemic control, with 86.1% sensitivity and 61.5% specificity. Conclusion: TyG index could be a simple and cost-effective screening tool for assessment of glycemic control in patients with T2DM.

scholarly journals Factors associated with poor glycemic control among type-2 diabetes mellitus patients in Yemen

2021 ◽  
Vol 18 (7) ◽  
pp. 1539-1546
Author(s):  
Sultan A.M. Saghir ◽  
Abdullah E.A. Alhariri ◽  
Sameer A. Alkubat ◽  
Amer A. Almiamn ◽  
Saleem H. Aladaileh ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Glycosylated Hemoglobin ◽  
Poor Glycemic Control ◽  
Self Management ◽  
Military Hospital ◽  
Diabetic Patients

Purpose: To determine the status of glycemic control and its associated factors among adult patients with type 2 diabetes mellitus (T2DM) in Hodeidah City, Yemen. Methods: This cross-sectional study involved T2DM patients attending an outpatient clinic at the Military Hospital in Hodeidah, from January to March 2017. Relevant socio-demographic characteristics, clinical factors and self-management behaviours were recorded in face-to-face interviews. Blood pressure, body weight, and height measurements were also obtained. Glycosylated hemoglobin (HbA1c) and lipid profile were evaluated. Urine samples were also obtained and analysed by albuminuria assay. Results: Of 246 participants, 73.2 % showed poor glycemic control (HbA1c ≥ 7 %). Female patients, those aged ≥ 40 years, the illiterate, and Khat chewers were more likely to have poor glycemic control. Moreover, longer disease duration, insulin administration and albuminuria were significantly associated with poor glycemic control. In contrast, a healthy diet, physical exercise, proper self-monitoring of blood glucose levels and taking medicines as prescribed significantly increased the likelihood of good glycemic control. Conclusion: A majority of the Yemeni diabetic patients have poor glycemic control. To achieve better awareness, diabetes educational programs that highlight the benefits of self-management are recommended.

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