Hematological parameters can predict the extent of coronary artery disease in patients with end-stage renal disease

Zeynep Bal, Ugur Bal, Kaan Okyay, Mustafa Yilmaz, Serhat Balcioglu, Ozge Turgay, Senem Hasirci, Alp Aydinalp, Aylin Yildirir, Siren Sezer, Haldun Muderrisoglu

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Abstract

Purpose: Aside from traditional factors (e.g., diabetes, age, and hypertension), some hematological parameters, such as neutrophil-to-lymphocyte ratio (NLR), red blood cell distribution width (RDW), and mean platelet volume (MPV), have increasingly been reported as measures of systemic inflammation and atherosclerosis in patients with end-stage renal disease (ESRD). This study aimed to determine whether there is an association between these hematological parameters and the extent of coronary artery disease (CAD) in patients with ESRD. Methods: A total of 149 consecutive ESRD patients (66 % males) without established CAD were studied. NLR, RDW, and MPV values in all patients were calculated from the complete blood count before coronary angiography. Angiographic views were assessed by an experienced interventional cardiologist, and the extent of CAD was evaluated by the Gensini score. The patients were divided into quartiles of the Gensini score. Results: Age, time on dialysis, calcium–phosphorus product, C-reactive protein levels, NLR, and MPV were significantly different among the groups (all p < 0.05). The Gensini score was correlated with age, time on dialysis (both p < 0.001), NLR (p = 0.004), and C-reactive protein levels (p = 0.034) and inversely correlated with left ventricular ejection fraction (p = 0.023). Multivariate regression analysis showed that age (p = 0.001), time on dialysis (p < 0.001), NLR (p = 0.001), and MPV (p = 0.005) were independent predictors of the extent of CAD. Conclusions: Aside from the well-known traditional factors, NLR and MPV are independent predictors of the extent of CAD in patients with ESRD.

Original languageEnglish
Pages (from-to)1719-1725
Number of pages7
JournalInternational Urology and Nephrology
Volume47
Issue number10
DOIs
Publication statusPublished - Aug 6 2015

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All Science Journal Classification (ASJC) codes

  • Nephrology
  • Urology
  • Medicine(all)

Cite this

Bal, Z., Bal, U., Okyay, K., Yilmaz, M., Balcioglu, S., Turgay, O., Hasirci, S., Aydinalp, A., Yildirir, A., Sezer, S., & Muderrisoglu, H. (2015). Hematological parameters can predict the extent of coronary artery disease in patients with end-stage renal disease. International Urology and Nephrology, 47(10), 1719-1725. https://doi.org/10.1007/s11255-015-1073-2