Glycemic control and its associated factors among diabetic heart failure outpatients at two major hospitals in Jordan

Assessment of neutrophil/lymphocyte ratio and mean platelet volume values in patients with diabetes mellitus diagnosis: A case-control study

Diabetes mellitus, fundamentally characterized by hyperglycemia, leads to significant metabolic disturbances. Type 2 diabetes mellitus is a chronic, inflammatory, preventable metabolic disease that is a significant health issue globally. The neutrophil-to-lymphocyte ratio (NLR) is an essential marker of systemic inflammation. We aimed to reveal the relationship between long-term glucose control and NLR, mean platelet volume (MPV), and red blood cell width in patients with type 2 diabetes. This was a retrospective case-control study. A total of 3532 applications in 2 years time were identified. Age, gender, medical history, white blood cell (WBC), hemoglobin, mean corpuscular volume (MCV), MPV, red blood cell width, NLR, hematocrit, platelet, C-reactive protein, Haemoglobin A1C data of the patients were analyzed. 1790 patients were included. A significant positive correlation was found between HbA1c and age, white blood cell, hematocrit, MCV, red blood cell width, NLR, and CRP. A statistically significant negative correlation was found between HbA1c and MCV. The results showed statistically significant differences between NLR, MPV, WBC, MCV, age, and HbA1c levels. Increased HbA1c levels are usually associated with an increase in these parameters. This is important for determining the risk of complications and protecting target organs in diabetic patients. A significant decrease in MCV levels was found as HbA1c levels increased. This suggests that evaluating red blood cells in routine controls of diabetic patients may indicate glycemic control. These findings may be valuable in early diagnosis of complications.

Metabolic Dysregulation and Its Multifaceted Impact on Cardiovascular Autonomic Control in Type 2 Diabetes Mellitus: Insights From Comprehensive Assessment

BACKGROUND

Type 2 diabetes mellitus (T2DM) is associated with a spectrum of metabolic dysfunctions that significantly elevate the risk of cardiovascular disorders. Understanding the intricate relationship between metabolic control and cardiovascular autonomic function in individuals with T2DM is crucial for effective management and the prevention of associated complications. This insight is foundational in developing targeted strategies that can mitigate the heightened cardiovascular risks inherent to this condition, thereby enhancing patient outcomes and quality of life.

AIM

The primary aim of the study was to explore the interconnections between various aspects of metabolic control in individuals with T2DM. This includes examining how glycemic variability, lipid profiles, body mass index (BMI), duration of diabetes, inflammatory markers, and cardiovascular autonomic function are interrelated.

METHODS

A cross-sectional study was conducted involving 100 individuals with T2DM and 100 control participants. HbA1C levels, glycemic variability, lipid profile, BMI, duration of diabetes, and inflammatory markers were assessed. Cardiovascular autonomic function parameters, including resting heart rate and blood pressure responses, were evaluated using standardized tests.

RESULTS

People with T2DM had significantly higher levels of glycosylated hemoglobin (HbA1C) compared to controls (mean difference = 2.95%, p < 0.001). Elevated HbA1C levels were correlated with increased resting heart rate (mean difference = 10 bpm, p < 0.001) and aberrant blood pressure responses during autonomic function assessments (p < 0.01 for systolic blood pressure; p < 0.05 for diastolic blood pressure). Glycemic variability (correlation coefficient (𝑟) = 0.75, p < 0.001) and dyslipidemia (elevated triglycerides and LDL cholesterol, reduced HDL cholesterol) were associated with cardiovascular autonomic dysfunction. Higher BMI values in T2DM individuals were independently correlated with alterations in autonomic function (𝑟 = 0.60, p < 0.001). The prolonged duration of diabetes was linked to greater impairment in autonomic function (mean decrease = 0.5 points per year, p < 0.01). In the T2DM group, higher levels of inflammatory markers (C-reactive protein and interleukin-6) were seen, which may have led to problems with the autonomic nervous system.

CONCLUSION

Metabolic dysregulation, such as high HbA1C levels, glycemic variability, dyslipidemia, obesity, having diabetes for a long time, and inflammation, is linked to cardiovascular autonomic dysfunction in T2DM. Early intervention targeting these metabolic abnormalities may mitigate the risk of cardiovascular complications in individuals with T2DM.

Glycemic control and associated factors among type 2 diabetes mellitus patients: a cross-sectional study of Azar cohort population

BACKGROUND

Despite the growing prevalence of diabetes and its complications, there is a dearth of data regarding factors associated with glycemic control. Therefore, in this cross-sectional study, we aimed to identify factors influencing glycemic control in patients with type 2 diabetes mellitus (T2DM) in the Iranian population.

METHODS

This cross-sectional study was conducted among the Azar cohort population and the glycemic control status of patients with T2DM was investigated. Possible risk factors including age, sex, marital status, educational level, smoking status, sleep duration, family history of diabetes and hypertension, socioeconomic status, physical activity level, and co-existence of other chronic diseases and their relationship with glycemic control status were also assessed. Multivariate logistic regression analysis was used to identify determinants of glycemic control.

RESULTS

Among 1,710 T2DM patients (60.2% female), the overall prevalence of poor glycemic control was 56.8%. In the unadjusted logistic regression analysis model, a low wealth score index significantly increased the risk of poor glycemic control (OR: 1.49;1.10-2.02). Variables significantly associated with poor glycemic control even after adjusting for confounding factors were first-degree family history of diabetes (OR: 1.34; 1.08-1.65), and sleep duration (OR: 1.29 ;1.02-1.62 for 6.6-8 h/d; OR:1.42;1.10-1.88 for > 8 h/d). Interestingly, we found that the co-existence of ≥ 3 chronic diseases with diabetes decreased the risk of poor glycemic control.

CONCLUSIONS

In the current study, most of the patients with T2DM had uncontrolled glycemic control. Due to the individual and social costs of diabetes complications, it is necessary to suggest tailored and effective interventions for controlling blood glucose levels in people with diabetes.