Home About Us Contact Us

 

Table of Content - Volume 18 Issue 2 - May 2021


 

Study of association of early-onset coronary artery disease with glucose intolerance and hyperinsulinemia

 

K Piruthivirajan1, P Kalaiselvi2*

 

1Assistant Professor, Department of Biochemistry, Bhaarath Medical College and Hospital, Selaiyur, INDIA.

2Assistant Professor, Department of Pharmacology, Chengalpattu Medical College and Hospital, Chengalpattu, INDIA.

Email: dr.k.p.r.navalur@gmail.com, drpkselvi2006@gmail.com

 

Abstract              Background: Indians develop Coronary Artery Disease (CAD) 5 to 10 years earlier than in other populations, and the occurrence of first myocardial infarction before the age of 40 years is 5 to 10 folds higher. Type 2 diabetes and impaired glucose tolerance (IGT) shares several risk factors in common with coronary artery disease (CAD) and an increase in the prevalence of diabetes indirectly implicates an escalating risk of CAD as well. Present study was undertaken to study association of early-onset coronary artery disease with glucose intolerance and hyperinsulinemia in patients attending tertiary care hospital. Material and Methods: Present study was a prospective, observational study conducted in subjects, male or female less than 45 years old, coronary artery disease. Glucose intolerance (GI) and serum insulin level were measured. Results: In present study, total 42 patients satisfying study criteria were included. Mean age was 42.07 ± 5.78 years. Male (73.81 %) were more than female (26.19 %). Mean body mass index was 23.26 ± 3.66 kg/m2. In present study, incidence of impaired fasting glucose (IFG), impaired glucose tolerance (IGT), diabetes mellitus (DM), hyperinsulinemia (>25 μIU/ml) was 9.52 %, 7.14 %, 7.14% and 9.52 % respectively. Total incidence of Glucose intolerance was 14.29 % (6 patients). Hypertension (26.19 %), BMI (> 25 kg/m2) (26.19 %), Smoking (21.43 %), Dyslipidemia (19.05 %), Family history of CAD (16.67 %) and Family history of diabetes (14.29 %) were major risk factors noted in present study. We noted a statistically significant difference in values of fasting plasma glucose (mg/dl), 2-hour plasma glucose (mg/dl), fasting serum insulin (uIU/ml) and HbA1C between normoglycemic and glucose intolerance patients. Conclusion: Glucose intolerance and hyperinsulinemia are associated with early-onset coronary artery disease, early diagnosis by screening of glucose intolerance is strongly recommended in high risk individuals.

Keywords: early-onset coronary artery disease, glucose intolerance, hyperinsulinemia, impaired glucose tolerance

 

INTRODUCTION

Cardiovascular disease (CVD) is a global health problem that has reached epidemic proportions in both developed and developing countries.1 Indians develop Coronary Artery Disease (CAD) 5 to 10 years earlier than in other populations, and the occurrence of first myocardial infarction before the age of 40 years is 5 to 10 folds higher. 2,3Type 2 diabetes and impaired glucose tolerance (IGT) shares several risk factors in common with coronary artery disease (CAD), such as age, hypertension, dyslipidemia, obesity, physical inactivity, and stress, an increase in the prevalence of diabetes indirectly implicates an escalating risk of CAD as well.4 While hyperinsulinemia is associated with obesity, type 2 diabetes, cardiovascular disease, and subclinical cardiometabolic risk markers, such as dyslipidemia, hypertension, and central adiposity.5 Plasminogen activator inhibitor (PAI-1) : high levels are reported in Indians in association with hypertriglyceride and hyperinsulinemia. This combination promotes thrombosis by impairing fibrinolysis. Also elevated glucose induces nonenzymatic protein glycosylation, protein kinase C activation, and oxidative stress. Hyperinsulinemia has been associated with collagen deposition and myocardial fibrosis.6 The potential consequences of early-onset coronary artery disease may have a significant impact on future health and wellbeing due to possible higher psychological and socioeconomic implications. Identifying the major risk factors for early-onset coronary artery disease is of vital significance to develop effective prevention strategies. Present study was undertaken to study association of early-onset coronary artery disease with glucose intolerance and hyperinsulinemia in patients attending tertiary care hospital.

              

MATERIAL AND METHODS

Present study was a prospective, observational study conducted in patients of early-onset coronary artery disease, admitted in ICCU under Department of Medicine, Bhaarath Medical College and Hospital, Selaiyur. Study duration was 1 year (from October 2019 to September 2020). Institutional ethical committee approval was taken for present study.

Inclusion criteria

The subjects, male or female less than 45 years old, fulfilling any of the following two criteria out of three were included in study.

  1. Typical symptoms (Chest discomfort).
  2. Typical pattern of ECG (ST segment elevation of ≥ 0.1mv in at least two consecutive leads or fresh left bundle branch block).
  3. Elevated enzyme levels (Serum CPKMB two times the upper limit of normal level).

Exclusion criteria

  1. History of any oral antidiabetic medications or insulin or known diabetes mellites
  2. Associated disorders like primary hyperparathyroidism, chronic kidney disease, liver disease, any chronic illness, malignancy,
  3. Subjects of stable and unstable angina
  4. Subjects not willing to participate

Study was explained and a written consent was taken for participation. Baseline clinical history, complications, risk factors for coronary artery disease, past illness, clinical examination findings, routine investigations (CBC, RFT’s, LFT’s, blood sugar profile, lipid profile and Serum CPKMB, chest x-ray) findings were noted. In few cases 2-D echo and Doppler study done were for LVEF and complications of MI. Glucose intolerance (GI) can be defined as dysglycemia that comprises both prediabetes and diabetes. It includes the conditions of impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) and diabetes mellitus (DM).7All the cases were followed after stabilization (on the 5-7th day of admission) and blood glucose, HbA1c and serum insulin level were measured by commercially available glucose and Insulin IRMA kit (Immune-radiometric assay). Fasting blood sample is taken after an 8 hour overnight fast. FPG levels between 100 and 125 mg/dL (5.6 to 6.9 mmol/L) are diagnostic of IFG. Fasting serum insulin levels were measured and Hyperinsulinemia was (>25 μIU/ml) was noted. In Two-Hour Oral Glucose Tolerance Test (GTT) plasma glucose is measured 2 hours after ingestion of 75 gm of glucose. IGT is diagnosed if plasma glucose (PG) level in the 2-hour sample is between 140 to 199 mg/dL (7.8 to 11.0 mmol/L). DM is diagnosed if the PG is greater than or equal to 200 mg/dl. Data was collected, entered in Microsoft excel sheet. Statistical analysis was done using SPSS 21. Data was presented in percentage and mean ± SD. Continuous clinical characteristics in both group were compared by unpaired t-test and categorical variables in both groups were compared by using Chi square statistics, statistical significance was considered when p<0.05.

 

RESULTS

In present study, total 42 patients satisfying study criteria were included. Mean age was 42.07 ± 5.78 years. Male (73.81 %) were more than female (26.19 %). Mean body mass index was 23.26 ± 3.66 kg/m2. In present study, incidence of impaired fasting glucose (IFG), impaired glucose tolerance (IGT), diabetes mellitus (DM), hyperinsulinemia (>25 μIU/ml) was 9.52 %, 7.14 %, 7.14% and 9.52 % respectively. Total incidence of Glucose intolerance was 14.29 % (6 patients). Hypertension (26.19 %), BMI (> 25 kg/m2) (26.19 %), Smoking (21.43 %), Dyslipidemia (19.05 %), Family history of CAD (16.67 %) and Family history of diabetes (14.29 %) were major risk factors noted in present study


 

 

 

 

 

Table 1: General characteristics

Variables

No. of patients / Mean ± SD (N = 42)

Percentage (%)

Age (years)

42.07 ± 5.78

 

Gender

 

 

MALE

31

73.81

FEMALE

11

26.19

Body mass index (kg/m2)

23.26 ± 3.66

 

Waist circumference (cm)

83.78 ± 4.98

 

Impaired fasting glucose (IFG)

4

9.52

Impaired glucose tolerance (IGT)

3

7.14

Diabetes mellitus (DM)

3

7.14

Hyperinsulinemia (>25 μIU/ml)

4

9.52

Risk factors

 

 

Hypertension

11

26.19

BMI (> 25 kg/m2)

11

26.19

Smoking

9

21.43

Dyslipidemia

8

19.05

Family history of CAD

7

16.67

Family history of diabetes

6

14.29

We noted a statistically significant difference in values of fasting plasma glucose (mg/dl), 2-hour plasma glucose (mg/dl), fasting serum insulin (uIU/ml) and HbA1C between normoglycemic and glucose intolerance patients.

 

Table 2: Comparison of Glycaemic parameters

Variable

Glucose intolerance (n = 6)

Normoglycemic (n = 36)

p-value

Significance

Fasting Plasma Glucose (mg/dl)

100.24 ± 9.18

84.27 ± 7.44

<0.001

Significant

2-hour Plasma Glucose (mg/dl)

153.87 ± 13.56

124.38 ± 11.46

<0.001

Significant

Fasting serum Insulin (uIU/ml)

18.26 ± 12.14

10.81 ± 8.29

<0.001

Significant

HbA1C

8.66 ± 2.43

5.79 ± 0.79

<0.001

Significant

 


DISCUSSION

Prediabetes is an intermediate stage between normal glucose levels and the clinical entity of type 2 diabetes (T2D), defined as Impaired Fasting Glucose (IFG) (Fasting plasma glucose 100 - 125 mg/dl) and Impaired Glucose Tolerance (IGT) [2 hr plasma glucose ≥140 and ≤199 mg/dl] after ingesting 75 g of glucose (OGTT); or a combination of both.8 Asymptomatic hyperglycaemia is a risk factor for cardiovascular disease (CVD) and hyperglycaemia can develop during an acute MI, even in patients without diabetes, which may be caused by an increase in catecholamines, a reduction in the release of insulin, development of insulin resistance and increases in cortisol and growth hormone.9 Adverse consequences from hyperglycemia may reflect effects of glucose as well as hyperinsulinemia. Glycemic effects include elevations in reactive oxygen species and formation of advanced glycation products. Hyperinsulinemia has been associated with mitogenic effects on vascular smooth muscle cells.10,11 With India undergoing rapid industrialization and urbanization, the consequent changes in the form of sedentary lifestyle are rampant. The India State-Level Disease Burden Initiative has reported that, although the prevalence of cardiovascular disease risk factors varied considerably across the states of India, the prevalence of high systolic blood pressure, high total cholesterol, and high fasting plasma glucose increased across all state groups since 1990.12 In India, most common risk factor associated with young CAD seems to be smoking. 13 Smoking in presence of additional risk factors like diabetes, hypertension and obesity predispose a young individual to increased risk of future acute coronary events.13 Similar findings were noted in present study. In a prospective study, fasting immune reactive insulin levels beyond 20 μIU/ml was independently associated with an incidence of CAD, subjects with high insulin levels were at five to sixfold risk for developing CAD.14 In another cross-sectional study, they observed that an elevated insulin level was independently associated with angiographically determined CAD.15 Srinivasan M studied subjects who underwent coronary angiogram for an evaluation of CAD, relation between the cardiovascular risk factors and major adverse cardiac events (MACE). After adjustment for potential confounders hyperinsulinemia (>20 μIU/ml) was significantly associated with MACE. Basal hyperinsulinemia beyond >20 μIU/ml, strongly predicts adverse cardiac events at 1 year in type 2 diabetes mellitus.16 Hyperinsulinemia, insulin resistance, and the higher rate of prevalence of metabolic syndrome in people with type 2 diabetes were attributed to high coronary risk in south Asians.17 Several longitudinal studies have shown that, hyperinsulinemia is associated with new cardiac events in general population and high fasting insulin levels are directly associated with carotid intima thickness and arterial wall stiffness even after adjusting for hypertension, dyslipidemia and obesity..18,19 Hyperinsulinemia, impaired glucose intolerance are common condition often associated with T2DM in which insulin levels exceed the normal range. However, until the insulin levels reach peak values, there does not appear to be a risk of developing severe vascular complications.20 Apart from disturbance in glucose metabolism, there are several behavioural risk factors such as tobacco use, unhealthy diet, obesity, physical inactivity and harmful use of alcohol and incidence of CVD can be controlled by addressing these factors.

 

CONCLUSION

Glucose intolerance and hyperinsulinemia are associated with early-onset coronary artery disease, early diagnosis by screening of glucose intolerance is strongly recommended in high risk individuals.

 

REFERENCES

  1. Murray CJ, Lopez AD. Measuring the global burden of disease. N Engl J Med. 2013;369(5):448-57.
  2. Joshi P, Islam S, Pais P, Reddy S, Dorairaj P, Kazmi K, Pandey MR, Haque S, Mendis S, Rangarajan S, Yusuf S. Risk factors for early myocardial infarction in South Asians compared with individuals in other countries. JAMA. 2007;297:286–294.
  3. Xavier D, Pais P, Devereaux PJ, Xie C, Prabhakaran D, Reddy KS, Gupta R, Joshi P, Kerkar P, Thanikachalam S, Haridas KK, Jaison TM, Naik S, Maity AK, Yusuf S; CREATE registry investigators. Treatment and outcomes of acute coronary syndromes in India (CREATE): a prospective analysis of registry data. Lancet. 2008;371:1435–1442.
  4. Moreno PR, Murcia AM, Palacios IF, Leon MN, Bernardi VH, Fuster V, Fallon JT. Coronary composition and macrophage infiltration in atherectomy specimens from patients with diabetes mellitus. Circulation. 2000;102(18):2180–4.
  5. Ramachandran A, Snehalatha C, Kapur A, Vijay V, Mohan V, Das AK, et al.; Diabetes Epidemiology Study Group in India (DESI): High prevalence of diabetes and impaired glucose tolerance in India: National Urban Diabetes Survey. Diabetologia 44: 1094–1101, 2001
  6. Aronson D, Rayfield EJ: How hyperglycemia promotes atherosclerosis: molecular mechanisms. Cardiovasc Diabetol 1: 1, 2002
  7. Goyal R, Nguyen M, Jialal I. Glucose Intolerance. [Updated 2020 Dec 8]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK499910/
  8. Diagnosis and Classification of Diabetes Mellitus, American Diabetes Association, Diabetes Care, Volume 35, Supplement 1, January 2012
  9. Alajbegovic S, Metelko Z, Alajbegovic A, et al. Hyperglycemia and acute myocardial infarction in a nondiabetic population. Diabetologia Croatica 2003;32:169–74.
  10. Singleton JR, Smith AG, Russell JW, Feldman EL: Microvascular complications of impaired glucose tolerance. Diabetes 52: 2867–2873, 2003
  11. Reusch JE: Current concepts in insulin resistance, type 2 diabetes mellitus, and the metabolic syndrome (Review). Am J Cardiol 90:19G–26G, 2002
  12. India State-Level Disease Burden Initiative Collaborators. Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study. Lancet 2017; 390: 2437–60.
  13. Aggarwal A, Aggarwal S, Sarkar PG, Sharma V. Predisposing factors to premature coronary artery disease in young (age ≤ 45 years) smokers: a single center retrospective case control study from India. J Cardiovasc Thorac Res 2014; 6: 15-19
  14. Kronmal RA, Barzilay JI, Tracy RP, Savage PJ, Orchard TJ, Burke GL. The relationship of fasting serum radioimmune insulin levels to incident coronary heart disease in insulin-treated diabetic cohort. J Clin Endocrinol Metab. 2004;89:2852–8.
  15. Tuttle KR, Puhlman ME, Cooney SK, Short R. Urinary albumin and insulin as predictors of coronary artery disease: an angiographic study. Am J Kidney Dis. 1999;34:918–25.
  16. Srinivasan M, Kamath P, Bhat N, Pai N, Bhat R, Shah T, Manjrekar P, Mahabala C. Basal hyperinsulinemia beyond a threshold predicts major adverse cardiac events at 1 year after coronary angiogram in type 2 diabetes mellitus: a retrospective cohort study. Diabetol Metab Syndr. 2017 May 19;9:38.
  17. Mohan V, Sandeep S, Deepa R, Shah B, Varghese C. Epidemiology of type 2 diabetes: Indian scenario. Indian J Med Res 2007;125:21730
  18. García RG, Rincón MY, Arenas WD, Silva SY, Reyes LM, Ruiz SL, et al. Hyperinsulinemia is a predictor of new cardiovascular events in Colombian patients with a first myocardial infarction. Int J Cardiol. 2011;148:85–90.
  19. Yanase M, Takatsu F, Tagawa T, et al. Insulin resistance and fasting hyperinsulinemia are risk factors for new cardiovascular events in patient with prior coronary artery disease and normal glucose tolerance. Circ J.2004;68:47–52.
  20. Lesley ML Hall, Naveed Sattar and Jason MR Gill, Risk of metabolic and vascular disease in South Asians: potential mechanisms for increased insulin resistance, Future Lipidology, 3:4, 411-424, 2008.













 








 




 








 

 









Policy for Articles with Open Access
Authors who publish with MedPulse International Journal of Anesthesiology (Print ISSN:2579-0900) (Online ISSN: 2636-4654) agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.