Relationship Between Glycated Haemoglobin and Carotid Atherosclerotic Disease Among Patients with Acute Ischaemic Stroke

A Study to Assess and Correlate Metabolic Parameters with Carotid Intima-Media Thickness after Combined Approach of Yoga Therapy among Prediabetics

Background

Prediabetes is an intermediate hyperglycemia in which the fasting blood glucose (FBG) level is greater than normal (100-125 mg/dl) but lower than diabetic levels (more than 125 mg/dl). The aim of the present study was to evaluate and correlate the impact of the combined approach of yoga therapy (CAYT) on carotid intima-media thickness (CIMT) and metabolic parameters including FBG, glycated hemoglobin (HbA1C), and lipid profile-like triglyceride (TG), total cholesterol (TC), and high-density lipoprotein (HDL).

Materials and Methods

Experimental Interventional study was conducted on a total of 250 prediabetics divided into the control (n = 125) and study group (n = 125) at "RUHS College of Medical Sciences and associated hospitals." Assessments were made at baseline and after six months of the CAYT. The study group (n = 125) was engaged in the CAYT, which consists of yoga, dietary modification, counseling, and follow-up. The control group not participated in CAYT.

Result

Mean age of participants was 45.3 ± 5.4 years. Pearson correlation analysis of CIMT and metabolic parameters which were fasting blood sugar, HbA1C, and lipid parameters (TC, TG, and HDL) showed that significant positive correlation with FBG (r =.880), HbA1C (r =.514), TC (r =.523), TG (r =.832), and negative correlation with HDL (r = -0.591) after six months of CAYT.

Conclusion

This study demonstrated that after six months of CAYT metabolic parameters, CIMT were significantly decreased. We have observed a significant correlation exists between CIMT and metabolic parameters. Therefore, regular CIMT measurement might be beneficial for the assessment of cardiovascular disease (CVD) risk and facilitate better use of treatment modalities in prediabetics.

Low cost blood vein detection system based on near-infrared LEDs and image-processing techniques

Drawing blood and injecting drugs are common medical procedures, for which accurate identification of veins is needed to avoid causing unnecessary pain. In this paper, we propose a low-cost system for the detection of veins. The system emits near-infrared radiation from four light-emitting diodes (LEDs), with a charge-coupled device (CCD) camera located in the middle of the LEDs. The camera captures an image of the palm of the hand. A series of digital image-processing techniques, ranging from image enhancement and increased contrast to isolation using a threshold limit based on statistical properties, are applied to effectively isolate the veins from the rest of the image.

Prospective study of hemoglobin A1c and incident carotid artery plaque in Chinese adults without diabetes

Background

Diabetes has been reported to be associated with carotid artery plaque (CAP). However, it remains unclear whether hemoglobin A1c (HbA1c) level, a marker for long-term glycemic status, is associated with altered CAP risk in individuals with fasting blood glucose (FBG) concentrations below the current cutoff for diabetes.

Methods

Included were 16,863 Chinese adults (aged 18 years or more; 9855 men and 7008 women) with fasting blood glucose < 7.0 mmol/L at baseline (2013). Both HbA1c level and CAP (assessed via ultrasound B-mode imaging) were annually assessed during 2014–2018. All the participants were further classified into three groups based on baseline HbA1c level: ≤ 5.6%, 5.7–6.4%, and ≥ 6.5%. We used Cox proportional-hazards model to evaluate the association between HbA1c level and incident CAP, adjusting for a series of potential confounders.

Results

During 5 years of follow up, 3942 incident CAP cases were identified. Individuals with higher baseline HbA1c had higher future risk of CAP (p-trend < 0.001). In the full-adjusted model, each percent increase of HbA1c was associated with a 56% (HR = 1.56, 95% CI 1.37, 1.78) higher risk of CAP. Excluding participants with chronic inflammation, as assessed by high-sensitivity C-reactive protein and white blood cell, and those with FBG ≥ 5.6 mmol/L at baseline generated similar results.

Conclusions

Elevated HbA1c level was associated with high risk of developing CAP in Chinese adults without FBG defined diabetes.