Troponin I, Hyperlipidemia and Obesity as Predictor of Cardiovascular Complications: A Cross Sectional Study

Troponin I and Cardiovascular Complications

Authors

  • Zainab Haq Quaid-e-Azam Medical College, Bahawalpur, Pakistan
  • Syed Usama Shayan Zaidi Department of Physiology, Shahida Islam Medical Complex, Lodhran, Pakistan
  • Muhammad Nauman Shahid Lahore Medical and Dental College, Lahore, Pakistan
  • Maria Munir Lahore Medical and Dental College, Lahore, Pakistan
  • Tahreem Waheed Butt Ghurki Trust and Teaching Hospital, Lahore, Pakistan
  • Nawal Yousuf Institute of Medical Sciences, Combined Military Hospital, Multan, Pakistan
  • Muhammad Nasir Shahbaz Department of Biological Sciences, Institute of Molecular Biology and Biotechnology, University of Biological and Applied Sciences, Lahore, Pakistan

DOI:

https://doi.org/10.54393/pjhs.v5i04.1442

Keywords:

Troponin I, Body Mass Index, Cholesterol, Blood Pressure

Abstract

High levels of Troponin I, cholesterol, triglycerides, Low Density Lipoprotein (LDL), High Density Lipoprotein (HDL) and Body Mass Index (BMI) are predictor of cardiac complications. Objective: To investigate the predictive efficacy of Troponin I, BMI, and lipid profiles in detecting cardiovascular problems. Methods: 300 male and female individuals were selected for current study. 100 normal individuals were in Control Group A, while 100 participants were placed in Group B all the individuals of Group B have the indications of different cardiac medical complications. BMI, systolic, diastolic blood pressure, Troponin I, cholesterol, triglycerides, LDL, HDL levels were measured respectively. Results: In present study BMI, systolic blood pressure, diastolic blood pressure, Troponin I, cholesterol, triglycerides, LDL, HDL blood serum levels of male and female in Group A and Group B were measured, the comparative analysis of above biomarkers showed a significant p-Value ≤ 0.05 change (0.02 ± 0.01, 183.01 ± 0.02, 120.01 ± 0.02, 87.01 ± 0.03, 44.01 ± 0.01), (0.02 ± 0.01, 172.01 ± 0.02, 130.01 ± 0.01, 88.01 ± 0.03, 42.01 ± 0.04), (0.39 ± 0.04, 272.01 ± 0.02, 180.01 ± 0.01, 138.01 ± 0.03, 37.01 ± 0.01) and ( 0.37 ± 0.04, 282.01 ± 0.02, 184.01 ± 0.01, 141.01 ± 0.03, 36.01 ± 0.01) were measured respectively. Conclusions: The present study found that there were notable significant p-value <0.05 differences in the blood serum levels of BMI, systolic and diastolic blood pressure, Troponin I, cholesterol, triglycerides, LDL, and HDL in both the male and female groups in Groups A and B

References

Bashir A, Azharuddin M, Rashid I, Murti K, Pandey K. Predictors of cardiomyopathy in patients with type-2 diabetes mellitus with and without cardiovascular complications: A cross-sectional study. Diabetes Research and Clinical Practice. 2019 Aug; 154: 90-100. doi: 10.1016/j.diabres.2019.06.012. DOI: https://doi.org/10.1016/j.diabres.2019.06.012

Wojszel ZB, Kuźma Ł, Rogalska E, Kurasz A, Dobrzycki S et al. A Newly Defined CHA2DS2-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography. Journal of Clinical Medicine. 2022 Jun; 11(12): 3462. doi: 10.3390/jcm11123462. DOI: https://doi.org/10.3390/jcm11123462

Rogalska E, Kuźma Ł, Wojszel ZB, Kurasz A, Napalkov D, Sokolova A et al. Atrial fibrillation is a predictor of nonobstructive coronary artery disease in elective angiography in old age: a cross-sectional study in Poland and Russia. Aging Clinical and Experimental Research. 2022 Jan; 34(1): 175-83. doi: 10.1007/s40520-021-01895-y. DOI: https://doi.org/10.1007/s40520-021-01895-y

Colaci M, Giuggioli D, Spinella A, Vacchi C, Lumetti F, Mattioli AV et al. Established coronary artery disease in systemic sclerosis compared to type 2 diabetic female patients: a cross-sectional study. Clinical Rheumatology. 2019 Jun; 38: 1637-42. doi: 10.1007/s10067-019-04427-2. DOI: https://doi.org/10.1007/s10067-019-04427-2

Hidru TH, Yang X, Xia Y, Ma L, Li HH. The relationship between plasma markers and essential hypertension in middle-aged and elderly Chinese population: a community based cross-sectional study. Scientific Reports. 2019 May; 9(1): 6813. doi: 10.1038/s41598-019-43278-4. DOI: https://doi.org/10.1038/s41598-019-43278-4

Iyanda A, Ade-Oni A, Omiyefa S, Krishnan B. Prevalence, spatial pattern, and predictors of cardiovascular and chronic diseases: A cross-sectional study. 2023 Apr; 1. doi: 10.21203/rs.3.rs-2861281/v1. DOI: https://doi.org/10.21203/rs.3.rs-2861281/v1

Kodaman N, Aldrich MC, Sobota R, Asselbergs FW, Poku KA, Brown NJ et al. Cardiovascular disease risk factors in Ghana during the rural-to-urban transition: a cross-sectional study. PLOS One. 2016 Oct; 11(10): e0162753. doi: 10.1371/journal.pone.0162753. DOI: https://doi.org/10.1371/journal.pone.0162753

Rohde LE, Hennekens CH, Ridker PM. Survey of C-reactive protein and cardiovascular risk factors in apparently healthy men. The American Journal of Cardiology. 1999 Nov; 84(9): 1018-22. doi: 10.1016/S0002-9149(99)00491-9. DOI: https://doi.org/10.1016/S0002-9149(99)00491-9

Vaduganathan M, Mensah GA, Turco JV, Fuster V, Roth GA. The global burden of cardiovascular diseases and risk: a compass for future health. Journal of the American College of Cardiology. 2022 Dec; 80(25): 2361-71. doi: 10.1016/j.jacc.2022.11.005. DOI: https://doi.org/10.1016/j.jacc.2022.11.005

Zubair F, Nawaz SK, Nawaz A, Nangyal H, Amjad N, Khan MS. Prevalence of cardiovascular diseases in Punjab, Pakistan: a cross-sectional study. Journal of Public Health. 2018 Oct; 26: 523-9. doi: 10.1007/s10389-018-0898-4. DOI: https://doi.org/10.1007/s10389-018-0898-4

Liaquat A, Javed Q. Current trends of cardiovascular risk determinants in Pakistan. Cureus. 2018 Oct; 10(10). doi: 10.7759/cureus.3409. DOI: https://doi.org/10.7759/cureus.3409

Bankier B, Barajas J, Martinez-Rumayor A, Januzzi JL. Association between C-reactive protein and generalized anxiety disorder in stable coronary heart disease patients. European Heart Journal. 2008 Sep; 29(18): 2212-7. doi: 10.1093/eurheartj/ehn326. DOI: https://doi.org/10.1093/eurheartj/ehn326

Chow EJ, Rolfes MA, O'Halloran A, Anderson EJ, Bennett NM, Billing L, Chai S, Dufort E, Herlihy R, Kim S, Lynfield R. Acute cardiovascular events associated with influenza in hospitalized adults: a cross-sectional study. Annals of Internal Medicine. 2020 Oct; 173(8): 605-13. doi: 10.7326/M20-1509. DOI: https://doi.org/10.7326/M20-1509

Yoshioka K. Skin autofluorescence is associated with high-sensitive cardiac troponin T, a circulating cardiac biomarker, in Japanese patients with diabetes: A cross-sectional study. Diabetes and Vascular Disease Research. 2018 Nov; 15(6): 559-66. doi: 10.1177/1479164118785314. DOI: https://doi.org/10.1177/1479164118785314

Ekrikpo UE, Akpan EE, Ekott JU, Bello AK, Okpechi IG, Kengne AP. Prevalence and correlates of traditional risk factors for cardiovascular disease in a Nigerian ART-naive HIV population: a cross-sectional study. BMJ Open. 2018 Jul; 8(7): e019664. doi: 10.1136/bmjopen-2017-019664. DOI: https://doi.org/10.1136/bmjopen-2017-019664

Johnson D, Zhu L, Landim-Vieira M, Pinto JR, Chalovich JM. Basic residues within the cardiac troponin TC terminus are required for full inhibition of muscle contraction and limit activation by calcium. Journal of Biological Chemistry. 2019 Dec; 294(51): 19535-45. doi: 10.1074/jbc.RA119.010966. DOI: https://doi.org/10.1074/jbc.RA119.010966

Huang J, Liu M, Su E, Yu P, Jiang H, Zhao J, Ge J. Elevated circulating high-sensitivity cardiac troponin t and cardiac remodeling in obesity. BMC Cardiovascular Disorders. 2021 Dec; 21: 1-8. doi: 10.1186/s12872-021-02445-0. DOI: https://doi.org/10.1186/s12872-021-02445-0

Kaur S, Kaur S, Kaur A, Kaur S, Gupta S, Mittal S, Dhiman M. A cross-sectional study to correlate antioxidant enzymes, oxidative stress and inflammation with prevalence of hypertension. Life Sciences. 2023 Jan; 313: 121134. doi: 10.1016/j.lfs.2022.121134. DOI: https://doi.org/10.1016/j.lfs.2022.121134

Abate E, Degef M, Melkie A, Gnanasekeran N, Mehdi M, Tolcha Y, Chala D. Haematological Parameters in People with Atherosclerotic Cardiovascular Disease versus Those Who are Only at Risk for Cardiovascular Disease: A Comparative Cross-Sectional Study. Diabetes, Metabolic Syndrome and Obesity. 2023 Dec: 1869-83. doi: 10.2147/DMSO.S407480. DOI: https://doi.org/10.2147/DMSO.S407480

Madadi R, Kalantari Z, Kalantari S, Makoui RH, Ahangar H, Sepehr G, Mahjani M, Mansouri K. The relationship between the severity of coronary artery disease in angiography and the incidence of short-term major cardiovascular events of patients with Covid-19 and myocardial infarction: a cross-sectional study in Iran. 2023 Feb; 1. doi: 10.21203/rs.3.rs-2579378/v1. DOI: https://doi.org/10.21203/rs.3.rs-2579378/v1

Basuliman AS, Malabarey MA, Abousamak FW, Alyousef BY, Alrabea SS, Alshabibi RA, Al Aseri ZA. Predictive value of triglycerides to high density lipoprotein ratio in patients with first attack of acute coronary syndrome. Saudi Medical Journal. 2023 Apr; 44(4): 379. doi: 10.15537/smj.2023.44.4.20220928. DOI: https://doi.org/10.15537/smj.2023.44.4.20220928

Showande SJ, George OA, Adekunle OO. Gender Related Differences in the Prevalence and Correlates of Modifiable Cardiovascular Disease Risk Factors among Seemingly Healthy Adult Nigerians–A Cross Sectional Study. British Journal of Medicine and Medical Research. 2014 Jun; 4(25): 4325-40. doi: 10.9734/BJMMR/2014/8737. DOI: https://doi.org/10.9734/BJMMR/2014/8737

da Costa Teixeira F, Pereira FE, Pereira AF, Ribeiro BG. Overweight or obesity and abdominal obesity and their association with cardiometabolic risk factors in Brazilian schoolchildren: A cross-sectional study. Nutrition. 2020 Oct; 78: 110780. doi: 10.1016/j.nut.2020.110780. DOI: https://doi.org/10.1016/j.nut.2020.110780

Kannan P. A Cross Sectional study on Clinical Profile and Risk Factors in Female Coronary Artery Disease patients attending Chengalpattu Medical College [Doctoral Dissertation]. 2020.

Ahanghar H, Heydari A, Tahrekhani M, Mohammadi M, Abdi M, Jalilvand A et al. Association of Troponin-I Level on Admission with 6-month Clinical Consequences in Acute Coronary Syndrome Patients: A Preventive Approach in Patient Care. Preventive Care in Nursing & Midwifery Journal. 2021 Dec; 11(4): 1-7. doi: 10.52547/pcnm.11.4.1. DOI: https://doi.org/10.52547/pcnm.11.4.1

Neeland IJ, Poirier P, Després JP. Cardiovascular and metabolic heterogeneity of obesity: clinical challenges and implications for management. Circulation. 2018 Mar; 137(13): 1391-406. doi: 10.1161/Circulationaha.117.029617. DOI: https://doi.org/10.1161/CIRCULATIONAHA.117.029617

Downloads

Published

2024-04-30
CITATION
DOI: 10.54393/pjhs.v5i04.1442
Published: 2024-04-30

How to Cite

Haq, Z., Zaidi, S. U. S., Shahid, M. N., Munir, M., Butt, T. W., Yousuf, N., & Shahbaz, M. N. (2024). Troponin I, Hyperlipidemia and Obesity as Predictor of Cardiovascular Complications: A Cross Sectional Study: Troponin I and Cardiovascular Complications. Pakistan Journal of Health Sciences, 5(04), 156–163. https://doi.org/10.54393/pjhs.v5i04.1442

Issue

Section

Original Article

Plaudit

Most read articles by the same author(s)