Generic placeholder image

Combinatorial Chemistry & High Throughput Screening

Editor-in-Chief

ISSN (Print): 1386-2073
ISSN (Online): 1875-5402

Research Article

The Relationship Between the Severity of Coronary Artery Disease and Erythrocyte Morphology Parameters Measured by New-Generation Hematology Analyzer

Author(s): Ibrahin Halil Yasak , Mustafa Begenc Tascanov, Ataman Gönel* and Eyyup Sabri Seyhanli

Volume 25, Issue 8, 2022

Published on: 28 May, 2021

Page: [1278 - 1283] Pages: 6

DOI: 10.2174/1386207324666210528113024

Price: $65

Abstract

Background: There is a possible relation between red blood cell distribution width (RDW) and various clinical conditions. These conditions can render RDW disadvantageous in its relation with cardiovascular disease. There may be a relation between the severity of acute coronary syndrome (ACS) and the percentage of hypochromia (hypo%), percentage of hyperchromia (hyper%), percentage of macrocytosis (MAC%), and percentage of microcytosis (MIC%) values measured using new-generation hematological devices.

Objective: We aimed to examine the relation between the SYNTAX score and the hypo%, hyper%, MAC%, and MIC% values in patients admitted with ACS.

Methods: A group of 55 patients who underwent coronary angiography with diagnosis of ACS (STEMI and NSTEMI) and a control group of 48 patients with normal coronary arteries were included in the study. Venous blood samples were collected in the morning after a fasting of at least 8 h and analyzed using standard laboratory methods. Hemogram parameters were studied using Alinity HQ (Abbott, USA) a completely automated hemogram autoanalyzer. Biochemical parameters were studied using Architect c16000 (Abbott, USA) a completely automated biochemistry autoanalyzer.

Results: Significant difference was observed in erythrocyte morphology-related tests (mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, RDW, hypo%, hyper%, MIC%, and MAC%) between the groups. Correlation analysis showed a positive correlation between the SYNTAX score and MAC% (r = 0.315, p = 0.019). Multivariate logistic regression analysis was performed for MAC% to identify the independent predictors of the SYNTAX score (β = 0.315, p = 0.019).

Conclusion: Changes in MAC% test can be measured in emergencies with new-generation hematological devices and used as independent predictors of the presence of severe coronary artery disease.

Keywords: SYNTAX score, hypo%, hyper%, MIC%, MAC%, acute coronary syndrome.

Graphical Abstract
[1]
Payne, R.A. Cardiovascular risk. Br. J. Clin. Pharmacol., 2012, 74(3), 396-410.
[http://dx.doi.org/10.1111/j.1365-2125.2012.04219.x] [PMID: 22348281]
[2]
Okrainec, K.; Banerjee, D.K.; Eisenberg, M.J. Coronary artery disease in the developing world. Am. Heart J., 2004, 148(1), 7-15.
[http://dx.doi.org/10.1016/j.ahj.2003.11.027] [PMID: 15215786]
[3]
Soler, E.P.; Ruiz, V.C. Epidemiology and risk factors of cerebral ischemia and ischemic heart diseases: Similarities and differences. Curr. Cardiol. Rev., 2010, 6(3), 138-149.
[http://dx.doi.org/10.2174/157340310791658785] [PMID: 21804773]
[4]
Cai, Q.; Mukku, V.K.; Ahmad, M. Coronary artery disease in patients with chronic kidney disease: A clinical update. Curr. Cardiol. Rev., 2013, 9(4), 331-339.
[http://dx.doi.org/10.2174/1573403X10666140214122234] [PMID: 24527682]
[5]
Norhammar, A.; Schenck-Gustafsson, K. Type 2 diabetes and cardiovascular disease in women. Diabetologia, 2013, 56(1), 1-9.
[http://dx.doi.org/10.1007/s00125-012-2694-y] [PMID: 22945305]
[6]
Tran, D-M.T.; Zimmerman, L.M. Cardiovascular risk factors in young adults: A literature review. J. Cardiovasc. Nurs., 2015, 30(4), 298-310.
[http://dx.doi.org/10.1097/JCN.0000000000000150] [PMID: 24743652]
[7]
Ferreiro, J.L.; Angiolillo, D.J. Challenges and perspectives of antiplatelet therapy in patients with diabetes mellitus and coronary artery disease. Curr. Pharm. Des., 2012, 18(33), 5273-5293.
[http://dx.doi.org/10.2174/138161212803251916] [PMID: 22724415]
[8]
Moutzouri, E.; Tsimihodimos, V.; Tselepis, A.D. Inflammatory biomarkers and cardiovascular risk assessment. Current knowledge and future perspectives. Curr. Pharm. Des., 2013, 19(21), 3827-3840.
[http://dx.doi.org/10.2174/13816128113199990307] [PMID: 23286437]
[9]
Rusnak, J.; Fastner, C.; Behnes, M.; Mashayekhi, K.; Borggrefe, M.; Akin, I. Biomarkers in stable coronary artery disease. Curr. Pharm. Biotechnol., 2017, 18(6), 456-471.
[http://dx.doi.org/10.2174/1389201018666170630120805] [PMID: 28669333]
[10]
Lüscher, T.F.; von Eckardstein, A.; Simic, B. Therapeutic targets to raise HDL in patients at risk or with coronary artery disease. Curr. Vasc. Pharmacol., 2012, 10(6), 720-724.
[http://dx.doi.org/10.2174/157016112803520972] [PMID: 23259565]
[11]
Revin, V.V.; Ushakova, A.A.; Gromova, N.V.; Balykova, L.A.; Revina, E.S.; Stolyarova, V.V.; Stolbova, T.A.; Solomadin, I.N.; Tychkov, A.Y.; Revina, N.V.J.A.I.H. Study of erythrocyte indices, erythrocyte morphometric indicators, and oxygen-binding properties of hemoglobin hematoporphyrin patients with cardiovascular diseases., 2017.
[http://dx.doi.org/10.1155/2017/8964587]
[12]
Madjid, M.; Fatemi, O.J.T.H.I.J. Components of the complete blood count as risk predictors for coronary heart disease: in-depth review and update., 2013, 40(1) 17
[13]
Mozos, I.J.B.r.i. Mechanisms linking red blood cell disorders and cardiovascular diseases., 2015.
[http://dx.doi.org/10.1155/2015/682054]
[14]
Porro, B.; Andreini, D.; Zaninoni, A.; Conte, E.; Fiorelli, S.; Bianchi, R.; Cantu, L.; Turnu, L.; Di Minno, A.; Manega, C. Eur. Heart J., 2017, 38, 727-727.
[15]
Xanthopoulos, A.; Giamouzis, G.; Melidonis, A.; Kitai, T.; Paraskevopoulou, E.; Paraskevopoulou, P.; Patsilinakos, S.; Triposkiadis, F.; Skoularigis, J.J.C.d. Red blood cell distribution width as a prognostic marker in patients with heart failure and diabetes mellitus., 2017, 16(1), 1-9.
[http://dx.doi.org/10.1186/s12933-017-0563-1]
[16]
Danese, E.; Lippi, G.; Montagnana, M. Red blood cell distribution width and cardiovascular diseases. J. Thorac. Dis., 2015, 7(10), E402-E411.
[PMID: 26623117]
[17]
Ermens, A.A.; Hoffmann, J.J.; Krockenberger, M.; Van Wijk, E.M. New erythrocyte and reticulocyte parameters on CELL-DYN Sapphire: analytical and preanalytical aspects. Int. J. Lab. Hematol., 2012, 34(3), 274-282.
[http://dx.doi.org/10.1111/j.1751-553X.2011.01391.x] [PMID: 22151199]
[18]
Serruys, P.W.; Onuma, Y.; Garg, S.; Sarno, G.; van den Brand, M.; Kappetein, A-P.; Van Dyck, N.; Mack, M.; Holmes, D.; Feldman, T.; Morice, M.C.; Colombo, A.; Bass, E.; Leadley, K.; Dawkins, K.D.; van Es, G.A.; Morel, M.A.; Mohr, F.W. Assessment of the SYNTAX score in the Syntax study. EuroIntervention, 2009, 5(1), 50-56.
[http://dx.doi.org/10.4244/EIJV5I1A9] [PMID: 19577983]
[19]
Bundhun, P.K.; Bhurtu, A.; Huang, F. Worse clinical outcomes following percutaneous coronary intervention with a high SYNTAX score: A systematic review and meta-analysis. Medicine (Baltimore), 2017, 96(24), e7140.
[http://dx.doi.org/10.1097/MD.0000000000007140] [PMID: 28614240]
[20]
Chiong, T.; Cheow, E.S.; Woo, C.C.; Lin, X.Y.; Khin, L.W.; Lee, C.N.; Hartman, M.; Sze, S.K.; Sorokin, V.A. Aortic wall extracellular matrix proteins correlate with syntax score in patients undergoing coronary artery bypass surgery. Open Cardiovasc. Med. J., 2016, 10, 48-56.
[http://dx.doi.org/10.2174/1874192401610010048] [PMID: 27347220]
[21]
Papadopoulos, K.; Lekakis, I.; Nicolaides, E. The predictive value of the SYNTAX score in patients with chronic coronary artery disease undergoing percutaneous coronary intervention or coronary artery bypass grafting: a pilot study. Open Cardiovasc. Med. J., 2017, 11, 28-32.
[http://dx.doi.org/10.2174/1874192401711010028] [PMID: 28567131]
[22]
Ibanez, B.; James, S.; Agewall, S.; Antunes, M.J.; Bucciarelli-Ducci, C.; Bueno, H.; Caforio, A.L.P.; Crea, F.; Goudevenos, J.A.; Halvorsen, S.; Hindricks, G.; Kastrati, A.; Lenzen, M.J.; Prescott, E.; Roffi, M.; Valgimigli, M.; Varenhorst, C.; Vranckx, P.; Widimský, P. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur. Heart J., 2018, 39(2), 119-177.
[http://dx.doi.org/10.1093/eurheartj/ehx393] [PMID: 28886621]
[23]
Khodaiji, S. Newer CBC Parameters of Clinical. Hematopathology: Advances in Understanding, 2019. 1
[24]
Philipsen, J.P.; Madsen, K.V. Hypo- and hypernatremia results in inaccurate erythrocyte mean corpuscular volume measurement in vitro, when using Sysmex XE 2100. Scand. J. Clin. Lab. Invest., 2015, 75(7), 588-594.
[http://dx.doi.org/10.3109/00365513.2015.1062534] [PMID: 26305422]
[25]
Parizadeh, S.M.; Jafarzadeh-Esfehani, R.; Bahreyni, A.; Ghandehari, M.; Shafiee, M.; Rahmani, F.; Parizadeh, M.R.; Seifi, S.; Ghayour-Mobarhan, M.; Ferns, G.A.; Avan, A.; Hassanian, S.M. The diagnostic and prognostic value of red cell distribution width in cardiovascular disease; current status and prospective. Biofactors, 2019, 45(4), 507-516.
[http://dx.doi.org/10.1002/biof.1518] [PMID: 31145514]
[26]
Feng, G-H.; Li, H-P.; Li, Q-L.; Fu, Y.; Huang, R-B. Red blood cell distribution width and ischaemic stroke. Stroke Vasc. Neurol., 2017, 2(3), 172-175.
[http://dx.doi.org/10.1136/svn-2017-000071] [PMID: 28989807]
[27]
Oliveira, A.M.; Cardoso, F.S.; Rodrigues, C.G.; Santos, L.; Martins, A.; de Deus, J.R.; Reis, J. Can red cell distribution width be used as a marker of Crohn’s disease activity? GE Port. J. Gastroenterol., 2015, 23(1), 6-12.
[http://dx.doi.org/10.1016/j.jpge.2015.10.003] [PMID: 28868424]
[28]
Vaya, A.; Hernández, J.L.; Zorio, E.; Bautista, D. Association between red blood cell distribution width and the risk of future cardiovascular events. Clin. Hemorheol. Microcirc., 2012, 50(3), 221-225.
[http://dx.doi.org/10.3233/CH-2011-1428] [PMID: 22240356]
[29]
Kurtul, A.; Murat, S.N.; Yarlioglues, M.; Duran, M.; Karadeniz, M.; Ergun, G.; Akyel, A.; Mendi, M.A.; Oksuz, F. The association of red cell distribution width with in-stent restenosis in patients with stable coronary artery disease. Platelets, 2015, 26(1), 48-52.
[http://dx.doi.org/10.3109/09537104.2014.881990] [PMID: 24831828]
[30]
Zou, X-L.; Lin, X-J.; Ni, X.; Wang, J.; Liu, W.; Wei, J. Baseline red blood cell distribution width correlates with disease activity and therapeutic outcomes in patients with systemic lupus erythematosus, irrespective of anemia status. Clin. Lab., 2016, 62(10), 1841-1850.
[http://dx.doi.org/10.7754/Clin.Lab.2016.160213] [PMID: 28164513]
[31]
Hu, Z-D. Red blood cell distribution width: a promising index for estimating activity of autoimmune disease. J. Lab. Precis. Med., 2016, 1(2), 1-6.
[http://dx.doi.org/10.21037/jlpm.2016.10.02]
[32]
Shavadia, J.S.; French, W.; Hellkamp, A.S.; Thomas, L.; Bates, E.R.; Manoukian, S.V.; Kontos, M.C.; Suter, R.; Henry, T.D.; Dauerman, H.L.; Roe, M.T. Comprehensive electrocardiogram-to-device time for primary percutaneous coronary intervention in ST-segment elevation myocardial infarction: A report from the American Heart Association mission: Lifeline program. Am. Heart J., 2018, 197, 9-17.
[http://dx.doi.org/10.1016/j.ahj.2017.10.017] [PMID: 29447789]
[33]
Karadeniz, M.; Duran, M.; Akyel, A. Yarl&o&lueş M.; Öcek, A.H.; Çelik, &E.; K&l&ç, A.; Yalcin, A.A.; Ergün, G.; Murat, S.N. High sensitive CRP level is associated with intermediate and high syntax score in patients with acute coronary syndrome. Int. Heart J., 2015, 56(4), 377-380.
[http://dx.doi.org/10.1536/ihj.14-299] [PMID: 26118590]
[34]
Altun, B.; Turkon, H.; Tasolar, H. Begg& H.; Altun, M.; Tem&;z, A.; Gaz&; E.; Barutcu, A.; Bekler, A.; Colkesen, Y. The relationship between high-sensitive troponin T, neutrophil lymphocyte ratio and SYNTAX Score. Scand. J. Clin. Lab. Invest., 2014, 74(2), 108-115.
[http://dx.doi.org/10.3109/00365513.2013.860619] [PMID: 24304492]
[35]
Scherff, F.; Vassalli, G.; Sürder, D.; Mantovani, A.; Corbacelli, C.; Pasotti, E.; Klersy, C.; Auricchio, A.; Moccetti, T.; Pedrazzini, G.B. The SYNTAX score predicts early mortality risk in the elderly with acute coronary syndrome having primary PCI. J. Invasive Cardiol., 2011, 23(12), 505-510.
[PMID: 22147397]
[36]
Sharma, K.; Singhal, R.; Jadhav, N.; Shah, K.; Patil, S. Evaluation of SERENE-CAG score for assessing suitability for coronary angiography preoperatively in patients undergoing valve replacement surgery. Indian Heart J., 2018, 70(Suppl. 3), S189-S193.
[http://dx.doi.org/10.1016/j.ihj.2018.10.033] [PMID: 30595255]
[37]
Blaha, M.J.; Mortensen, M.B.; Kianoush, S.; Tota-Maharaj, R.; Cainzos-Achirica, M. Coronary artery calcium scoring: Is it time for a change in methodology? JACC Cardiovasc. Imaging, 2017, 10(8), 923-937.
[http://dx.doi.org/10.1016/j.jcmg.2017.05.007] [PMID: 28797416]
[38]
Zhang, L.; Wu, W.C.; Ma, H.; Wang, H. Usefulness of layer-specific strain for identifying complex CAD and predicting the severity of coronary lesions in patients with non-ST-segment elevation acute coronary syndrome: Compared with Syntax score. Int. J. Cardiol., 2016, 223, 1045-1052.
[http://dx.doi.org/10.1016/j.ijcard.2016.08.277] [PMID: 27592047]
[39]
Korkmaz, L.; Adar, A.; Korkmaz, A.A.; Erkan, H.; Agac, M.T.; Acar, Z.; Kurt, I.H.; Akyuz, A.R.; Celik, S. Atherosclerosis burden and coronary artery lesion complexity in acute coronary syndrome patients. Cardiol. J., 2012, 19(3), 295-300.
[http://dx.doi.org/10.5603/CJ.2012.0052] [PMID: 22641549]
[40]
Palmerini, T.; Genereux, P.; Caixeta, A.; Cristea, E.; Lansky, A.; Mehran, R.; Dangas, G.; Lazar, D.; Sanchez, R.; Fahy, M.; Xu, K.; Stone, G.W. Prognostic value of the SYNTAX score in patients with acute coronary syndromes undergoing percutaneous coronary intervention: analysis from the ACUITY (Acute Catheterization and Urgent Intervention Triage StrategY) trial. J. Am. Coll. Cardiol., 2011, 57(24), 2389-2397.
[http://dx.doi.org/10.1016/j.jacc.2011.02.032] [PMID: 21658558]
[41]
Sinning, C.; Lillpopp, L.; Appelbaum, S.; Ojeda, F.; Zeller, T.; Schnabel, R.; Lubos, E.; Jagodzinski, A.; Keller, T.; Munzel, T.; Bickel, C.; Blankenberg, S. Angiographic score assessment improves cardiovascular risk prediction: The clinical value of SYNTAX and Gensini application. Clin. Res. Cardiol., 2013, 102(7), 495-503.
[http://dx.doi.org/10.1007/s00392-013-0555-4] [PMID: 23519584]
[42]
Kurtul, A.; Murat, S.N.; Yarlioglues, M.; Duran, M.; Ocek, A.H.; Koseoglu, C. Cel&k, I.E.; Kilic, A.; Aksoy, O. Usefulness of serum albumin concentration to predict high coronary SYNTAX score and in-hospital mortality in patients with acute coronary syndrome. Angiology, 2016, 67(1), 34-40.
[http://dx.doi.org/10.1177/0003319715575220] [PMID: 25783433]
[43]
Afrasyab, A.; Qu, P.; Zhao, Y.; Peng, K.; Wang, H.; Lou, D.; Niu, N.; Yuan, D. Correlation of NLRP3 with severity and prognosis of coronary atherosclerosis in acute coronary syndrome patients. Heart Vessels, 2016, 31(8), 1218-1229.
[http://dx.doi.org/10.1007/s00380-015-0723-8] [PMID: 26290166]
[44]
Faroux, L.; Tassan-Mangina, S.; Herce, B.; Nazeyrollas, P.; Bauley, K.; Metz, D. Acute coronary syndromes in the very elderly: Short term prognostic performance of the SYNTAX score. Int. J. Cardiol., 2017, 243, 497-501.
[http://dx.doi.org/10.1016/j.ijcard.2017.05.050] [PMID: 28526546]
[45]
Obeid, S.N.; Frangieh, A.H.; Jaguszewski, M.; Mach, F.; Rodondi, N.; Vogt, P.; Roffi, M.; Windecker, S.; Matter, C.; Nietlispach, F. Prognostic significance of syntax score ii in patients presenting with acute coronary syndrome undergoing percutaneous intervention. J. Am. Coll. Cardiol., 2015, 65(10)(Suppl.), A45.
[http://dx.doi.org/10.1016/S0735-1097(15)60045-6]
[46]
Fontes, A.; Fernandes, H.P.; Barjas-Castro, M.L.; de Thomaz, A.A.; de Ysasa Pozzo, L.; Barbosa, L.C.; Cesar, C.L. Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IV; International society for optics and photonics, 2006. 6088, p. 608811
[47]
Stratton, F.; Rawlinson, V.I.; Gunson, H.; Phillips, P. The role of zeta potential in Rh agglutination. Vox Sang., 1973, 24(3), 273-279.
[http://dx.doi.org/10.1111/j.1423-0410.1973.tb02641.x]
[48]
Gupta, S.; Gupta, V.K.; Gupta, R.; Arora, S.; Gupta, V.J.I.h.j. Relationship of high-sensitive C-reactive protein with cardiovascular risk factors, clinical presentation and angiographic profile in patients with acute coronary syndrome: An Indian perspective. 2013, 63(3) 359
[49]
Kami&ska, J.; Koper, O.M.; Siedlecka-Czykier, E.; Matowicka-Karna, J.; Bychowski, J.; Kemona, H.J.S. The utility of inflammation and platelet biomarkers in patients with acute coronary syndromes. Saudi J. Biol. Sci., 2018, 25(7), 1263-1271.
[http://dx.doi.org/10.1016/j.sjbs.2016.10.015]
[50]
Byrne, C.E.; Fitzgerald, A.; Cannon, C.P.; Fitzgerald, D.J.; Shields, D.C.J.B. Elevated white cell count in acute coronary syndromes: relationship to variants in inflammatory and thrombotic genes. BMC Med. Genet., 2004, 5(1), 1-11.
[http://dx.doi.org/10.1186/1471-2350-5-13]
[51]
Urrechaga, E.; Borque, L.; Escanero, J.F. Erythrocyte and reticulocyte parameters in iron deficiency and thalassemia. J. Clin. Lab. Anal., 2011, 25(3), 223-228.
[http://dx.doi.org/10.1002/jcla.20462] [PMID: 21567473]
[52]
Urrechaga, E.; Borque, L.; Escanero, J.F. The role of automated measurement of red cell subpopulations on the Sysmex XE 5000 analyzer in the differential diagnosis of microcytic anemia. Int. J. Lab. Hematol., 2011, 33(1), 30-36.
[http://dx.doi.org/10.1111/j.1751-553X.2010.01237.x] [PMID: 20492000]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy