International Journal of Clinical Biochemistry and Research

Serum CK-MB, fasting lipid profile and lipid indices in patients with myocardial infarction -A case control study

Full Text PDF

Author Details: Reshma S,Prathima M.B*,Sushith ,Shubhalakshmi ,Madan Gopal

Volume : 6

Issue : 1

Online ISSN : 2394-6377

Print ISSN : 2394-6369

Article First Page : 45

Article End Page : 47


Introduction: Coronary artery disease (CAD) is the leading cause of death worldwide. Deranged lipid metabolism is one of the important factors leading to development of myocardial infarction (MI). The study was designed to determine and correlate conventional lipid parameters and novel lipid atherogenic indices with serum CKMB in subjects presenting with MI at a tertiary care hospital.

Materials and Methods: The study comprised of 50 subjects presenting with MI as cases and 50 age & sex matched, non-diabetic subjects as controls. Data related to serum CKMB levels were collected. Fasting venous blood samples were analysed for lipid profile. Non HDL and various other lipid ratios such as TG/HDL, Atherogenic Index of Plasma (AIP), Castelli Risk Index (CRI I & II) and Atherogenic Coefficient (AC) were calculated. Comparison between cases and controls was done using Student’s t test. Correlation between CK MB with lipid parameters was done using regression analysis. Statistical significance was considered as p < 0>

Result: Serum CKMB levels in MI patients were significantly increased (p < 0>

Conclusion: The findings of this study conclude that assessment of lipid profile and lipid ratios even in a normal individual is important as they are considered as atherogenic factors for the development of myocardial infarction and other coronary complications.

Keywords: Atherogenic index of plasma, Castelli risk index, CKMB, coronary artery disease, Lipid profile, Myocardial infarction.


Coronary artery disease (CAD) is the leading cause of death in many developed countries affecting two thirds of the population worldwide.[1] Myocardial infarction (MI) is most commonly due to occlusion of the coronary artery following the rupture of a vulnerable atherosclerotic plaque present in the walls of the artery. The pathogenesis of MI is multifactorial; however, previous studies have implicated impaired lipid metabolism as one of the crucial factors in the development of this disease.[2] The atherogenic metabolic triad [hyperinsulinemia, high levels of apolipoprotein B and small dense low-density lipoprotein (sdLDL) particles] has been highly associated with heart disease, but these parameters are routinely difficult to obtain, which makes their use impractical in screening individuals at high cardiovascular risk or established CAD.[3] Low high density lipoproteins (HDL), high triglycerides (TG) and high low density lipoproteins (LDL) levels have been associated with increased incidence of CAD.[4] It has been put forward that the different combinations of these lipid profile parameters can be used to ascertain high risk individuals especially in places where there is dearth of facilities for testing the extended lipid profile. Thus, the present study was conducted with the objective of assessing the significance of non HDL and various lipid ratios like TG/LDL, Atherogenic Index of Plasma (AIP), Castelli Risk Index (CRI) and Atherogenic Coefficient (AC) in subjects who have developed MI.

Materials and Methods

In this cross sectional study, 50 consecutive patients diagnosed with MI presenting to the tertiary care hospital were recruited. Fifty non-diabetic subjects were taken as controls. The patients were aged less than 55 years. The subjects in both the groups were age and sex matched. Patients with Type 2 Diabetes Mellitus (T2DM), pre-existing dyslipidemia, thyroid dysfunction, on steroids, past history of any heart disease, and chronic kidney disease were excluded. The study protocol was approved by the Institutional Ethics Committee. Informed consent was obtained from all the subjects. All the clinical findings were noted. Data related to serum CKMB levels were collected. After obtaining the informed consent from all the participants, total of 5ml blood was withdrawn aseptically from the antecubital vein from each subject in plain vacutainer after 12hrs overnight fast. The samples were centrifuged at 3000 rpm for 10 min to separate. The serum with no sign of hemolysis was used for analysis of all the lipid parameters. Total cholesterol, HDL, TG were measured in serum by commercially available kits in autoanalyser. Serum LDL and very low density lipoprotein (VLDL) were calculated using the Friedwald's formula. Non-HDL was calculated as difference of HDL from TC. Atherogenic coefficient was calculated as ratio of non HDL with HDL. Castelli Risk Index I (CRI I) is calculated by the formula TC/ HDL. Castelli Risk Index II (CRI II) is calculated by the formula LDL/ HDL. LDL particles, or surrogate marker for small dense LDL (sdLDL) is calculated by TG/ HDL. Atherogenic Index (AI) of plasma was calculated by the formula logTG/HDL.

Statistical analysis was done using SPSS. Categorical data was expressed as frequency and percentage. Quantitative data were expressed as mean ± SD. Comparison of quantitative variables between cases and controls was done using Student’s t test. Correlation between serum CK MB with lipid parameters was done using regression analysis. Statistical significance was considered as p < 0>


The clinical characteristics of acute myocardial infarction patients and control subjects have been shown in Table 1. There is no significance of age groups between the MI patients and normal (control) groups. The cases and controls were both age and sex matched. The mean age of the controls was 48.2±2.97 years and that of cases was 49.10±3.37 years. CKMB levels in MI patients are significantly increased (p < 0>

Table 1: Demographic and biochemical parameters in cases of MI and controls


Controls (n=50)

Cases of MI (n=50)

p value

Age (in years)




Male n (%)
























CKMB (ng/dL)




Values are expressed in mean with standard deviation (mean ± SD).


n= number of subjects.

Table 2: Comparison of various lipid indices among the two groups


Controls (n=50)

Cases of MI (n=50)

p value

















Atherogenic Index (AI)




Atherogenic Coefficient (AC)




Values are expressed in mean with standard deviation (mean ± SD).


n= number of subjects.

Table 3: Correlation of CKMB with HDL, non HDL & lipid indices


Coefficient of correlation (r)

Coefficient of determination (R2)

p value


















A significantly increased risk of CAD in the presence of dyslipidemia has been demonstrated in several studies.[5][6][7] In this study, the lipid disorders and their patterns were evaluated in patients who were diagnosed with acute MI. Major CAD risk factors including age, male gender, hypertension and smoking were noted to be very much prevalent in the study group. The mean age of the patients having MI were mostly in the later part of 5th decade, as found in other studies.[2],[8][9] The male preponderance (64%) was seen in this study too similar to various other studies conducted worldwide.[5],[10],[11]

In the current study, serum CK MB was used as a cardiac marker to confirm the presence of MI. Serum CKMB was higher in cases in comparison to controls. (p<0>

Our study showed high levels of serum cholesterol, TG, LDL, VLDL and low levels of HDL in cases compared to controls. This is in concordance with the findings of a study done by Temelkova-Kurktschiev TS et al who reported the risk factors of stroke and MI to be hypercholesterolemia, hypertriglyceridemia and low HDL levels.[12] Among the lipid parameters, low HDL level is considered to be an independent risk factor for the development of coronary artery disease.[4]

This study was designed to evaluate the usefulness of determining non-HDL and several other lipid ratios in MI patients. All the calculated parameters such as non HDL, TG: HDL, CRI I & II, AI and AC were significantly elevated in cases when compared to controls. These calculated parameters have been proved to be useful predictors of atherogenesis.[4][13][14]Regression analysis revealed non-HDL contributed most towards the total risk of developing CAD (21.8%), followed by CRI II (8.8%) and TG: HDL (6%). Non-HDL also showed a better correlation with serum CK MB levels compared to the other calculated parameters. (r =0.467, p < 0>

Non-HDL is far more superior than conventional lipid profile in predicting long term cardiovascular outcome. Non-HDL takes into account LDL, VLDL, intermediate density lipoproteins (IDL), lipoprotein (a), chylomicrons and chylomicron remnant concentrations. Therefore, non-HDL can be considered a superior measure of atherogenic particles and atherogenic risk.[13]


The present study showed maximum cases of MI in the 5th decade, with male preponderance. There was a significant elevation in the serum enzymes CKMB in MI patients. Since CKMB is the most specific isoenzyme for the heart, the elevation in CKMB levels is significant.

A significant increase in total cholesterol, triglycerides, LDLC, VLDL-C, with a significant decrease in HDL-C was observed in MI patients as compared to healthy controls. The calculated lipid parameters were also found to be elevated in MI patients. Out of which, non-HDL showed a better correlation with serum CKMB levels.

The present study concludes the importance of assessing calculated lipid parameters as they are determinants for impending development of MI and other coronary complications. Non-HDL and other calculated ratios may be used in addition to conventional lipid profile to screen normal individuals and aid in therapeutic management.

Conflicts of Interest: None.


  1. ^ R, T. M, U. B, E. G, D. R, D. K. A comparative study of heart rate variability tests and lipid profile in healthy young adult males and females. Niger J Clin Pract [Internet] 2013;16(4):424–428.
  2. a, b Khan HA, Alhomida AS, Sobki SH. Lipid profile of patients with acute myocardial infarction and its correlation with systemic inflammation. Biomark Insights 2013;8:1–7.
  3. ^ Guattini VL de O, Piovesan CH, Wittke E, Marcadenti A. Hypertriglyceridemic Waist (Ewet), Glycidic and Lipid Profile in Patients With Newly Diagnosed Heart Attack. Nutr Hosp 2015;32(3):1004–1008.
  4. a, b, c Bhardwaj S, Bhattacharjee J, Bhatnagar MK, Tyagi S, Delhi N. Atherogenic index of plasma, castelli risk index and atherogenic coefficient - new parameters in assessing cardiovascular risk. Int J Pharm Biol Sci 2013;3(3):359–64.
  5. a, b Yang N, Feng J-P, Chen G, Kou L, Li Y, Zhao L, et al. Variability in lipid profile among patients presented with acute myocardial infarction, unstable angina and stable angina pectoris. Eur J Med Pharmacol Sci 2014;18:3761–3766.
  6. ^ Shrivastava AK, Singh HV, Raizada A, Singh SK. Serial measurement of lipid profile and inflammatory markers in patients with acute myocardial infarction. EXCLI J 2015;14:517–526.
  7. ^ González-Pacheco H, Vargas-Barrón J, Vallejo M, Piña-Reyna Y, Altamirano-Castillo A, Sánchez-Tapia P, et al. Prevalence of conventional risk factors and lipid profiles in patients with acute coronary syndrome and significant coronary disease. Ther Clin Risk Manag [Internet] 2014;10:815–823.
  8. ^ Al-Shehri AM. Prevalence and pattern of lipid disorders in Saudi patients with angiographically documented coronary artery disease. J Family Community Med [Internet]. 2014;21(3):166–169.
  9. ^ Lazo-Porras M, Bernabe-Ortiz A, Málaga G, Gilman RH, Acuña-Villaorduña A, Cardenas-Montero D, et al. Low HDL cholesterol as a cardiovascular risk factor in rural, urban, and rural-urban migrants: PERU MIGRANT cohort study. Atheroscler 2016;246:36–43.
  10. ^ Shipra, Gupta BK, Solanki R, Punia H, Agarwal V, Kaur J, et al. Relationship of Lipid Profile and Serum Ferritin levels with Acute Myocardial Infarction. J Clin Diagn Res [Internet]. 2014;8(8):CC10-13.
  11. ^ Goliasch G, Wiesbauer F, Blessberger H, Demyanets S, Wojta J, Huber K, et al. Premature myocardial infarction is strongly associated with increased levels of remnant cholesterol. J Clin Lipidol [Internet]. 2015;9(6):801–806.
  12. ^ Temelkova-Kurktschiev TS, Kurktschiev DP, Vladimirova-Kitova LG, Vaklinova I, Todorova BR, et al. Prevalence and type of dyslipidaemia in a population at risk for cardiovascular death in Bulgaria. J Diabetol 2009;51(2):26-22.
  13. a, b Wongcharoen W, Sutthiwutthichai S, Gunaparn S, Phrommintikul A. Is non-HDL-cholesterol a better predictor of long-term outcome in patients after acute myocardial infarction compared to LDL-cholesterol?: a retrospective study. BMC cardiovascular disorders. 2017;17(1):10.Wongcharoen W, Sutthiwutthichai S, Gunaparn S, Phrommintikul A. Is non-HDL-cholesterol a better predictor of long-term outcome in patients after acute myocardial infarction compared to LDL-cholesterol?: a retrospective study. BMC cardiovascular disorders. 2017;17(1):10.
  14. ^ Luz PL, Favarato D, Faria-Neto Junior JR, Lemos P, Chagas AC. High ratio of triglycerides to HDL-cholesterol predicts extensive coronary disease. Clinics 2008;63(4):427-432.