Research Article
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Year 2024, Volume: 14 Issue: 2, 138 - 143, 29.08.2024

Abstract

References

  • 1. Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, FunckBrentano C, et al. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. 2020;41(3):407–77.
  • 2. Taqueti VR. Coronary Microvascular Dysfunction in Vasospastic Angina: Provocative Role for the Microcirculation in Macrovessel Disease Prognosis. J Am Coll Cardiol. 2019;74(19):2361–4.
  • 3. Ong P, Camici PG, Beltrame JF, Crea F, Shimokawa H, Sechtem U, et al. International standardization of diagnostic criteria for microvascular angina. Int J Cardiol. 2018;250:16–20.
  • 4. Agrawal S, Mehta PK, Bairey Merz CN. Cardiac Syndrome X. update 2014. Cardiol Clin. 2014;32(3):463–78.
  • 5. Weber C, Noels H. Atherosclerosis: current pathogenesis and therapeutic options. Nat Med. 2011;17(11):1410–22.
  • 6. Emamalipour M, Seidi K, Jahanban-Esfahlan A JahanbanEsfahlan R. Implications of resistin in type 2 diabetes mellitus and coronary artery disease: Impairing insulin function and inducing pro-inflammatory cytokines. J Cell Physiol. 2019;234(12):21758–769.
  • 7. Cai G, Liu W, Lv S, Wang X, Guo Y, Yan Z, et al. Genderspecific associations between atherogenic index of plasma and the presence and severity of acute coronary syndrome in very young adults: a hospital based observational study[J]. Lipids Health Dis. 2019;18(1):99.
  • 8. Alizargar J, Bai CH, Hsieh NC, Wu SV. Use of the triglycerideglucose index (TyG) in cardiovascular disease patients[J]. Cardiovasc Diabetol. 2020;19(1):8.
  • 9. Niroumand S, Khajedaluee M, Khadem-Rezaiyan M, Abrishami M, Juya M, Khodaee G, et al. Atherogenic Index of Plasma (AIP): A marker of cardiovascular disease. Med. J. Islam. Repub. Iran. 2015;29:240.
  • 10. Lee BK, Lim HS, Fearon WF, Yong AS, Yamada R, Tanaka S, et al. Invasive evaluation of patients with angina in the absence of obstructive coronary artery disease. Circulation. 2015;131(12):1054–60.
  • 11. Camici PG, Crea F. Coronary microvascular dysfunction. N Engl J Med. 2007;356(8):830–40.
  • 12. Hagemann CE, Ghotbi AA, Kjaer A, Hasbak P. Quantitative myocardial blood flow with Rubidium-82 PET. a clinical perspective. Am J Nucl Med Mol Imaging. 2015;5(5):457–68.
  • 13. Stein R, Ferrari F, Scolari F. Genetics, dyslipidemia, and cardiovascular disease: new insights. Curr Cardiol Rep. 2019;21(8):68.
  • 14. Dobiásová M. AIPeatherogenic index of plasma as a significant predictor of cardiovascular risk: from research to practice [in Czech]. Vnitr Lek. 2006;52:64–71.
  • 15. Quispe R, Manalac RJ, Faridi KF, Blaha MJ, Toth PP, Kulkarni KR, et al. Relationship of the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio to the remainder of the lipid profile: the very large database of Lipids-4 (VLDL-4) study. Atherosclerosis. 2015;242:243–50.
  • 16. Wu TT, Gao Y, Zheng YY, Ma YT, Xie X. Atherogenic index of plasma (AIP): a novel predictive indicator for the coronary artery disease in postmenopausal women. Lipids Health Dis. 2018;17(1):197.
  • 17. Shen S, Lu Y, Qi H, Li F, Shen Z, Wu L, et al. Association between ideal cardiovascular health and the atherogenic index of plasma. Med (Baltimore). 2016;95:e3866.
  • 18. Edwards MK, Blaha MJ, Loprinzi PD. Atherogenic index of plasma and triglyceride/high-density lipoprotein cholesterol ratio predict mortality risk better than individual cholesterol risk factors, among an older adult population. Mayo Clin Proc. 2017;92:680–81.
  • 19. Cure E, Cumhur Cure M. Comment on the relationship between atherogenic index of plasma and noreflow in patients with acute STsegment elevation myocardial infarction who underwent primary percutaneous coronary intervention. Int J Cardiovasc Imaging. 2020;36(5):797–98.
  • 20. Cho YR, Ann SH, Won KB, Park GM, Kim YG, Yang DH, et al. Association between insulin resistance, hyperglycemia, and coronary artery disease according to the presence of diabetes. Sci Rep. 2019;9(1):6129.
  • 21. da Silva A, Caldas APS, Hermsdorff HHM, Bersch-Ferreira ÂC, Torreglosa CR, Weber B, et al. Triglyceride-glucose index is associated with symptomatic coronary artery disease in patients in secondary care. Cardiovasc Diabetol. 2019;18(1):89.
  • 22. Won KB, Kim YS, Lee BK, Heo R, Han D, Lee JH, et al. The relationship of insulin resistance estimated by triglyceride glucose index and coronary plaque characteristics. Medicine (Baltimore) . 2018;97(21):e10726.
  • 23. Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuñiga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. 2018;17(1):122.
  • 24. Ong P, Athanasiadis A, Sechtem U. Patterns of coronary vasomotor responses to intracoronary acetylcholine provocation. Heart. 2013;99(17):1288–95.

Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters

Year 2024, Volume: 14 Issue: 2, 138 - 143, 29.08.2024

Abstract

Aim: The atherogenic index of plasma (AIP) and triglyceride-glucose (TyG) index are strongly associated with atherogenesis of the coronary artery. However, the relationship between these metabolic parameters and ischaemia with nonobstructive coronary artery diseases (INOCA) is unknown. Therefore, we aimed to investigate the relationship between AIP and TyG index and INOCA patients.
Material and Method: A total of 529 patients were enrolled in this study and assigned to the INOCA group (n=264) and control group (n=265). The clinical data and calculated AIP, TyG index, were collected. Multivariate logistic regression was set up to assess the AIP and TyG indices for INOCA.
Results: The optimal cut-off value of TyG for predicting INOCA was 8.87 with a sensitivity of 52.24% and a specificity of 70% ([AUC]: 0.634 [95% CI: 0.592–0.675, p=0.023]). The optimal cutoff value of AIP for predicting INOCA was 0.54 with a sensitivity of 45.15% and a specificity of 70.57% ([AUC]: 0.590 [95% CI: 0.547–0.632, p=0.025]). When the ROC curves of TyG and AIP are compared, it is seen that TyG is a better predictor ([Difference between areas]: 0.045 [95% CI: 0.0180–0.0711, p=0.001]).
Conclusion: AIP and TyG index were significantly higher in the INOCA group when compared to the control group. In addition, the main finding was that when the metabolic parameters TyG index and AIP were compared with each other, the TyG index provided a stronger prediction and was found to be an independent risk factor for INOCA.

References

  • 1. Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, FunckBrentano C, et al. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. 2020;41(3):407–77.
  • 2. Taqueti VR. Coronary Microvascular Dysfunction in Vasospastic Angina: Provocative Role for the Microcirculation in Macrovessel Disease Prognosis. J Am Coll Cardiol. 2019;74(19):2361–4.
  • 3. Ong P, Camici PG, Beltrame JF, Crea F, Shimokawa H, Sechtem U, et al. International standardization of diagnostic criteria for microvascular angina. Int J Cardiol. 2018;250:16–20.
  • 4. Agrawal S, Mehta PK, Bairey Merz CN. Cardiac Syndrome X. update 2014. Cardiol Clin. 2014;32(3):463–78.
  • 5. Weber C, Noels H. Atherosclerosis: current pathogenesis and therapeutic options. Nat Med. 2011;17(11):1410–22.
  • 6. Emamalipour M, Seidi K, Jahanban-Esfahlan A JahanbanEsfahlan R. Implications of resistin in type 2 diabetes mellitus and coronary artery disease: Impairing insulin function and inducing pro-inflammatory cytokines. J Cell Physiol. 2019;234(12):21758–769.
  • 7. Cai G, Liu W, Lv S, Wang X, Guo Y, Yan Z, et al. Genderspecific associations between atherogenic index of plasma and the presence and severity of acute coronary syndrome in very young adults: a hospital based observational study[J]. Lipids Health Dis. 2019;18(1):99.
  • 8. Alizargar J, Bai CH, Hsieh NC, Wu SV. Use of the triglycerideglucose index (TyG) in cardiovascular disease patients[J]. Cardiovasc Diabetol. 2020;19(1):8.
  • 9. Niroumand S, Khajedaluee M, Khadem-Rezaiyan M, Abrishami M, Juya M, Khodaee G, et al. Atherogenic Index of Plasma (AIP): A marker of cardiovascular disease. Med. J. Islam. Repub. Iran. 2015;29:240.
  • 10. Lee BK, Lim HS, Fearon WF, Yong AS, Yamada R, Tanaka S, et al. Invasive evaluation of patients with angina in the absence of obstructive coronary artery disease. Circulation. 2015;131(12):1054–60.
  • 11. Camici PG, Crea F. Coronary microvascular dysfunction. N Engl J Med. 2007;356(8):830–40.
  • 12. Hagemann CE, Ghotbi AA, Kjaer A, Hasbak P. Quantitative myocardial blood flow with Rubidium-82 PET. a clinical perspective. Am J Nucl Med Mol Imaging. 2015;5(5):457–68.
  • 13. Stein R, Ferrari F, Scolari F. Genetics, dyslipidemia, and cardiovascular disease: new insights. Curr Cardiol Rep. 2019;21(8):68.
  • 14. Dobiásová M. AIPeatherogenic index of plasma as a significant predictor of cardiovascular risk: from research to practice [in Czech]. Vnitr Lek. 2006;52:64–71.
  • 15. Quispe R, Manalac RJ, Faridi KF, Blaha MJ, Toth PP, Kulkarni KR, et al. Relationship of the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio to the remainder of the lipid profile: the very large database of Lipids-4 (VLDL-4) study. Atherosclerosis. 2015;242:243–50.
  • 16. Wu TT, Gao Y, Zheng YY, Ma YT, Xie X. Atherogenic index of plasma (AIP): a novel predictive indicator for the coronary artery disease in postmenopausal women. Lipids Health Dis. 2018;17(1):197.
  • 17. Shen S, Lu Y, Qi H, Li F, Shen Z, Wu L, et al. Association between ideal cardiovascular health and the atherogenic index of plasma. Med (Baltimore). 2016;95:e3866.
  • 18. Edwards MK, Blaha MJ, Loprinzi PD. Atherogenic index of plasma and triglyceride/high-density lipoprotein cholesterol ratio predict mortality risk better than individual cholesterol risk factors, among an older adult population. Mayo Clin Proc. 2017;92:680–81.
  • 19. Cure E, Cumhur Cure M. Comment on the relationship between atherogenic index of plasma and noreflow in patients with acute STsegment elevation myocardial infarction who underwent primary percutaneous coronary intervention. Int J Cardiovasc Imaging. 2020;36(5):797–98.
  • 20. Cho YR, Ann SH, Won KB, Park GM, Kim YG, Yang DH, et al. Association between insulin resistance, hyperglycemia, and coronary artery disease according to the presence of diabetes. Sci Rep. 2019;9(1):6129.
  • 21. da Silva A, Caldas APS, Hermsdorff HHM, Bersch-Ferreira ÂC, Torreglosa CR, Weber B, et al. Triglyceride-glucose index is associated with symptomatic coronary artery disease in patients in secondary care. Cardiovasc Diabetol. 2019;18(1):89.
  • 22. Won KB, Kim YS, Lee BK, Heo R, Han D, Lee JH, et al. The relationship of insulin resistance estimated by triglyceride glucose index and coronary plaque characteristics. Medicine (Baltimore) . 2018;97(21):e10726.
  • 23. Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuñiga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. 2018;17(1):122.
  • 24. Ong P, Athanasiadis A, Sechtem U. Patterns of coronary vasomotor responses to intracoronary acetylcholine provocation. Heart. 2013;99(17):1288–95.
There are 24 citations in total.

Details

Primary Language English
Subjects Clinical Sciences (Other)
Journal Section Research Article
Authors

Muammer Karakayalı

Mehmet Altunova This is me

Turab Yakışan

Serkan Aslan This is me

İnanç Artaç

Timor Omar

Ayça Arslan

Doğan İliş

Ezgi Güzel

İbrahim Rencüzoğulları

Yavuz Karabağ

Publication Date August 29, 2024
Submission Date December 7, 2023
Acceptance Date February 8, 2024
Published in Issue Year 2024 Volume: 14 Issue: 2

Cite

APA Karakayalı, M., Altunova, M., Yakışan, T., Aslan, S., et al. (2024). Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters. Kafkas Journal of Medical Sciences, 14(2), 138-143.
AMA Karakayalı M, Altunova M, Yakışan T, Aslan S, Artaç İ, Omar T, Arslan A, İliş D, Güzel E, Rencüzoğulları İ, Karabağ Y. Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters. KAFKAS TIP BİL DERG. August 2024;14(2):138-143.
Chicago Karakayalı, Muammer, Mehmet Altunova, Turab Yakışan, Serkan Aslan, İnanç Artaç, Timor Omar, Ayça Arslan, Doğan İliş, Ezgi Güzel, İbrahim Rencüzoğulları, and Yavuz Karabağ. “Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters”. Kafkas Journal of Medical Sciences 14, no. 2 (August 2024): 138-43.
EndNote Karakayalı M, Altunova M, Yakışan T, Aslan S, Artaç İ, Omar T, Arslan A, İliş D, Güzel E, Rencüzoğulları İ, Karabağ Y (August 1, 2024) Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters. Kafkas Journal of Medical Sciences 14 2 138–143.
IEEE M. Karakayalı, “Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters”, KAFKAS TIP BİL DERG, vol. 14, no. 2, pp. 138–143, 2024.
ISNAD Karakayalı, Muammer et al. “Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters”. Kafkas Journal of Medical Sciences 14/2 (August 2024), 138-143.
JAMA Karakayalı M, Altunova M, Yakışan T, Aslan S, Artaç İ, Omar T, Arslan A, İliş D, Güzel E, Rencüzoğulları İ, Karabağ Y. Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters. KAFKAS TIP BİL DERG. 2024;14:138–143.
MLA Karakayalı, Muammer et al. “Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters”. Kafkas Journal of Medical Sciences, vol. 14, no. 2, 2024, pp. 138-43.
Vancouver Karakayalı M, Altunova M, Yakışan T, Aslan S, Artaç İ, Omar T, Arslan A, İliş D, Güzel E, Rencüzoğulları İ, Karabağ Y. Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters. KAFKAS TIP BİL DERG. 2024;14(2):138-43.