Year :
2024
| Month :
January
| Volume :
18
| Issue :
1
| Page :
OC15 - OC18
Full Version
Endothelial Dysfunction in Type 2 Diabetes Patients and its Association with Microvascular Complications: A Cross-sectional Study
Published: January 1, 2024 | DOI: https://doi.org/10.7860/JCDR/2024/61444.18899
Ameya Sanjay Chogle, Arun Prasath, Chandni Chandramouli, Siva Ranganathan Green
1. Senior Resident, Department of General Medicine, Mahatma Gandhi Medical College and Research Institute, Puducherry, India.
2. Associate Professor, Department of Cardiology, Mahatma Gandhi Medical College and Research Institute, Puducherry, India.
3. Assistant Professor, Department of General Medicine, Mahatma Gandhi Medical College and Research Institute, Puducherry, India.
4. Professor, Department of General Medicine, Mahatma Gandhi Medical College and Research Institute, Puducherry, India.
Correspondence Address :
Dr. Siva Ranganathan Green,
1C, Type-I Staff Quarters, MGMCRI Campus, Pillaiyarkuppam, Puducherry-607402, India.
E-mail: srgreen@mgmcri.ac.in
Abstract
Introduction: The prevalence of Type 2 Diabetes Mellitus (T2DM) is increasing worldwide. Microangiopathic and macroangiopathic complications are the main causes of morbidity and mortality in diabetes. Endothelial dysfunction is important in the early pathophysiology of vascular complications. Screening is very important in order to prevent these complications.
Aim: To investigate endothelial dysfunction, as measured by Flow Mediated Vasodilation (FMD) of the brachial artery, in diabetic individuals. It also aims to explore the correlation between FMD and Glycated Haemoglobin (HbA1c), as well as the association between FMD and microvascular complications such as diabetic neuropathy, diabetic retinopathy, and albuminuria.
Materials and Methods: This cross-sectional study was conducted at Mahatma Gandhi Medical College and Research Institute, Puducherry, India, between 2020 and 2021 on 160 patients. All patients diagnosed with T2DM, attending the Outpatient Department (OPD) or admitted to the ward, were enrolled in the study using consecutive sampling. FMD was measured for each patient, and Urine Albumin Creatinine Ratio (UACR) was also assessed. Diabetic retinopathy was evaluated through fundus examination, and diabetic neuropathy was screened using the monofilament test. Statistical analysis was performed using Statistical Package for Social Sciences (SPSS) version 27.0 to determine the correlation between FMD and these variables.
Results: A total of 160 patients were enrolled in this study, including 104 (65%) males and 56 (35%) females. The median age was 52 years, and the participants had a median Body Mass Index (BMI) of 29.5 kg/m2. The median HbA1c was 8.7%. The median Fasting Blood Sugar (FBS) and Postprandial Blood Sugar (PPBS) levels were 145 mg/dL and 242 mg/dL, respectively. The median FMD among all patients was 5.6%, with an Interquartile Range (IQR) of 4.9% to 6.6%. There was an inverse correlation between HbA1C and FMD values, with a correlation coefficient of -0.718 (p-value <0.01), indicating a strong and significant inverse correlation. Patients with significant macroalbuminuria had a lower median FMD compared to non albuminuric patients, and this difference was statistically significant. The median FMD was also lower in patients with diabetic neuropathy and retinopathy.
Conclusion: The study findings suggest that endothelial dysfunction, as measured by FMD, is significantly impaired in patients with elevated HbA1c and microvascular complications of diabetes mellitus.
Keywords
Endothelium, Hyperglycaemia, Nitric oxide, Vasodilation
Introduction
Diabetes mellitus is a chronic metabolic disorder resulting from improper intermediary metabolism due to an absolute or relative deficiency of insulin, leading to hyperglycaemia. The initial phase of hyperglycaemia, which is commonly asymptomatic, accounts for the majority of long-term complications (1). Endothelial dysfunction is considered the initial step in the progression of atherosclerosis and microvascular complications of diabetes mellitus (2). The endothelium, which lines the intimal surface of blood vessels, forms the largest endocrine organ in the human body (3). It plays a crucial role in regulating vascular smooth muscle tone, thrombosis, platelet aggregation, and blood vessel permeability. The endothelium releases vasoactive substances such as prostacyclin, endothelin, endothelial growth factors, interleukins, plasminogen inhibitors, and Nitric Oxide (NO) (4). Altered endothelial function plays a central role in the pathogenesis of vascular complications. The term “endothelial dysfunction” refers to an impairment of the endothelium’s ability to maintain vascular homeostasis properly. NO serves as an important marker of endothelial dysfunction. It is considered the initial step in the progression of atherosclerosis (5).
The endothelial cells sense the laminar stress on the endothelium caused by hyperemia, leading to increased activity of endothelial Nitric Oxide Synthase (eNOS). This, in turn, converts L-arginine to NO. NO activates guanylate cyclase, which stimulates the conversion of guanosine triphosphate to monophosphate. Consequently, this causes smooth muscle relaxation, leading to vasodilation. FMD reflects endothelial function (3). The most widely used non invasive technique for assessing endothelial function is called “FMD”. FMD measures the dilation or widening of a blood vessel in response to increased blood flow, which is a normal response of healthy endothelial cells. This non invasive method is based on the principle that physiological increases in blood flow and endothelial shear stress induce vasodilation, which is mediated by the release of endothelial NO (6). However, FMD is currently classified as class III evidence and is not routinely recommended for screening cardiovascular risk (7),(8). Screening is crucial for preventing chronic complications. FMD can be performed using ultrasound equipment, which is commonly available in most tertiary care hospitals in India (7),(9).
Only a few recent studies in India have combined all these parameters (10),(11). In a study by Ravikumar R et al., conducted on 50 diabetic and non diabetic individuals in the Chennai Urban Population study, it was found that FMD was impaired in diabetic subjects compared to non diabetics (10). Another study by Bhargava K et al., showed that the mean FMD in patients with diabetes only was 5.51% compared to 7.03% in the non diabetic group. Thus, the presence of endothelial dysfunction is considered an early risk factor for coronary artery disease as well (11). The present study aims to correlate endothelial dysfunction, as measured by FMD, in T2DM patients with glycaemic control measured by HbA1c, and to study its association with microvascular complications such as diabetic retinopathy, neuropathy, and albuminuria.
Material and Methods
This cross-sectional study was conducted at a tertiary care institute in Puducherry, India, from March 2020 to March 2021. The approval of the Institutional Human Ethics Committee was obtained (letter no MGMCRI/Res/01/2019/41/IHEC/088).
Inclusion criteria: All patients diagnosed with T2DM who attended the OPD and were admitted to the ward were included in the study.
Exclusion criteria: Patients who were on Angiotensin Converting Enzyme Inhibitors (ACEI), had known cases of type 1 diabetes mellitus, end-stage renal disease, chronic liver disease, thyroid disorders, any proven case of peripheral neuropathy other than diabetic neuropathy, stroke, and pregnant or lactating women were excluded from the study.
Sample size: The study population consisted of 160 individuals selected from patients attending the OPD and inpatients using consecutive random sampling. The prevalence of diabetes mellitus was taken as 10.3% based on a previous study (12). The required sample size (n) was calculated using the formula:
d=0.05
Formula:
Z1-α/2=1.96 for a 95% of confidence level with α=0.05
p=10.3%=0.103 (from previous study)
1-p=0.897
d=5%=0.05 (absolute precision)
n1=(1.962×(0.103)(0.897)/(0.05)2
n1=141.9?142
Considering a 10% attrition rate, the final sample size was calculated as follows:
n=n1+n1*10%=142+14.2=156.2
n?160
Procedure
After obtaining written informed consent, demographic details and previous clinical and medical history regarding other co-morbid conditions were recorded. The recent (within two months) HbA1c value was also recorded. Patients were instructed to visit the clinic after an overnight fast, abstaining from smoking, drinking coffee, or taking antioxidant vitamins for atleast 12 hours prior to testing. They were examined in the supine position, following 15 minutes of rest in a dark, quiet, air-conditioned room. Brachial artery FMD was measured during the examination. The right arm was cuffed with a standard blood pressure cuff positioned 5 cm below the antecubital fossa, and the artery was imaged 5 to 9 cm above the antecubital fossa. The cuff was inflated to 50 mmHg above the systolic blood pressure for five minutes. Imaging of the artery was performed before cuff inflation (baseline) and for 1.5 minutes after cuff deflation (5). Normal FMD was considered to be in the range of 7.1-10% (13). Microalbuminuria was diagnosed from concentrations in a spot sample using ACR (Albumin-to-Creatinine Ratio). Microalbuminuria is defined as concentrations ranging from 30 to 299 mg/g (14). Diabetic neuropathy was screened using the monofilament test (15),(16). For the detection of diabetic retinopathy, participants underwent a fundus examination conducted by an ophthalmologist.
Statistical Analysis
The distribution of variables was initially analysed using SPSS version 27.0, and the data was found to have a non normal distribution based on the Kolmogorov-Smirnov test. Therefore, non parametric tests, specifically the Mann-Whitney U test, were used to make comparisons between two groups. To compare two quantitative variables, correlation coefficient was utilised.
Results
The median age of the patients was 52 years (IQR 45-61), indicating that the majority of subjects belonged to the age group of 45 to 61 years. Of the enrolled subjects, 104 were males and 56 were females. The median BMI was 29.5 kg/m2. The median HbA1c was 8.7%, while the median FBS and PPBS were 145 mg/dL and 242 mg/dL, respectively. The median ACR was 21.6 mg/g (Table/Fig 1). The median systolic and diastolic blood pressure was 128 mmHg and 84.6 mmHg, respectively. Diabetic retinopathy and neuropathy were observed in 63 (39.37%) and 53 (33.12%) individuals, respectively. A total of 58 patients had albuminuria (Table/Fig 2).
The median FMD among all patients was 5.6%. Females had a slightly higher FMD compared to males (5.8% vs 5.5%), but this difference was not statistically significant (p-value=0.537). There was an inverse correlation between HbA1c and FMD values, with a correlation coefficient of -0.718 and a p-value of <0.01, indicating a strong and significant inverse correlation (Table/Fig 3).
The median FMD was lower in patients with diabetic neuropathy compared to those without neuropathy, and this difference was statistically significant. In this study, the median FMD in patients with diabetic retinopathy was 5.1% compared to those without diabetic retinopathy, who had a median FMD of 6.0%. Patients with significant macroalbuminuria, as defined by the above ACR cut-off, had a lower median FMD compared to non albuminuric patients, and this difference was statistically significant (Table/Fig 4).
Discussion
Global literature has provided valuable data on FMD and the correlation between microvascular and macrovascular complications in diabetes mellitus. Most of the data available is from foreign studies, with only a few studies conducted in the Indian population (10),(11),(17),(18). This cross-sectional study was conducted in Puducherry, India aimed to contribute sufficient data on the effect of impaired FMD on the development of chronic complications in patients with T2DM. In this study, the population had a median FMD of 5.6%, which was lower than the normal values reported in recent studies (7.1% to 9%) (13). This suggests that endothelial function, as measured by FMD, was altered in patients with T2DM. The median FMD in males and females was 5.5% and 5.8%, respectively, indicating that FMD was less impaired in females compared to males in present study population, although this difference was not statistically significant (p-value=0.537). There was a significant inverse correlation between FMD and HbA1c. This indicates that endothelial function was affected by poor glycaemic control, resulting in impaired FMD in these individuals. Other studies have also concluded that poor glycaemic control is associated with impaired FMD (17),(18). This can be attributed to vascular endothelial injury caused by increased formation of advanced glycation end products, activation of protein C kinase, and increased flux through the polyol pathway due to hyperglycaemia. These factors lead to increased oxidative stress and reduced levels of NO and eNOS, ultimately resulting in endothelial dysfunction (19),(20),(21).
In the study population, 63 (39.37%) patients had diabetic retinopathy. It was found that patients with diabetic retinopathy had lower FMD values, and this difference was statistically significant (p-value <0.001). Chronic hyperglycaemia leads to the formation of advanced glycation end products and activation of protein C kinase, causing endothelial dysfunction in retinal vessels. This results in altered retinal vascular permeability, damage to pericytes, and ultimately, retinal ischaemia. Similar studies have also concluded that impaired FMD, indicating endothelial dysfunction, is associated with diabetic retinopathy in patients with poor glycaemic control (22),(23). Patients with macroalbuminuria and microalbuminuria had a median FMD values of 4.5% and 5.1%, respectively, indicating that FMD was lower in patients with macroalbuminuria compared to those with microalbuminuria. Yokoyama H et al., conducted a study in 158 diabetics in Japan to assess the relationship between FMD and microalbuminuria, independent of cardiovascular risk factors. They demonstrated that impaired FMD was associated with increased age, albuminuria, BMI, and decreased eGFR. Similar findings were reported in studies conducted by Ito H et al., and Stehouwer CDA et al., (22),(24),(25). These studies suggest that patients with albuminuria have endothelial dysfunction. Initially, there is a stage of hyperfiltration due to hyperglycaemia, followed by vascular endothelial injury caused by increased formation of advanced glycation end products, activation of protein C kinase, and increased flux through the polyol pathway due to hyperglycaemia, which ultimately leads to nephropathy (25),(26).
Among the 160 patients, 53 (33.12%) had diabetic neuropathy. Individuals with diabetic neuropathy had a median FMD of 5.0%, which was significantly lower compared to patients without diabetic neuropathy, who had a median FMD of 5.8% (p-value <0.001). Additionally, a similar cross-sectional study conducted by Roustit M et al., found that endothelial dysfunction is strongly associated with Diabetic Peripheral Neuropathy (DPN) and may serve as a potential mediator between cardiovascular risk factors and DPN. FMD of the brachial artery, a measure of endothelial function, was significantly associated with DPN. These findings suggest that early endothelial dysfunction may contribute to the development of DPN in individuals with diabetes (27).
Limitation(s)
This study did not consider the duration of diabetes and the effect of dyslipidaemia on FMD, both of which are observed in patients with diabetes. Therefore, further studies should be conducted to investigate the impact of diabetes duration and dyslipidaemia on FMD. Additionally, it is important to note that this was a cross-sectional study, and further follow-up studies are needed to establish a correlation between improvements in FMD and better glycaemic control.
Conclusion
Patients with T2DM exhibit endothelial dysfunction, as evidenced by impaired FMD. Endothelial dysfunction increases the risk of microvascular complications of diabetes, such as diabetic retinopathy, neuropathy, and albuminuria. Therefore, achieving good glycaemic control and implementing lifestyle changes are crucial in preventing these complications. Consequently, FMD holds prognostic significance and can be utilised to assess the response to interventions.
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DOI: 10.7860/JCDR/2024/61444.18899
Date of Submission: Nov 13, 2022
Date of Peer Review: Mar 02, 2023
Date of Acceptance: Nov 20, 2023
Date of Publishing: Jan 01, 2024
AUTHOR DECLARATION:
• Financial or Other Competing Interests: None
• Was Ethics Committee Approval obtained for this study? Yes
• Was informed consent obtained from the subjects involved in the study? Yes
• For any images presented appropriate consent has been obtained from the subjects. Yes
PLAGIARISM CHECKING METHODS:
• Plagiarism X-checker: Nov 15, 2022
• Manual Googling: Apr 19, 2023
• iThenticate Software: Nov 17, 2023 (8%)
ETYMOLOGY: Author Origin
EMENDATIONS: 9
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