The association between hemogram parameters and the development of contrast-induced nephropathy in patients

Esra Dönmez1, Sevgi Özcan1, İrfan Şahin1

  • 1Department of Cardiology, Bağcılar Training and Research Hospital, Bağcılar, İstanbul, Türkiye.

PubMed

Insights

Mean platelet volume (MPV) and neutrophil/lymphocyte ratio (NLr) can predict contrast-induced nephropathy (CIN) in non-ST segment elevation myocardial infarction (non-STEMI) patients undergoing percutaneous coronary intervention (PCI). These hematological markers, combined with traditional risk factors, offer a promising approach for CIN risk assessment.

Area of Science:

  • Cardiology
  • Nephrology
  • Hematology

Background:

  • Hemogram parameters like MPV and NLr are established inflammatory indicators in cardiovascular diseases.
  • Contrast-induced nephropathy (CIN) is a significant complication following percutaneous coronary intervention (PCI).

Purpose of the Study:

  • To investigate the predictive role of hemogram parameters for CIN development in patients with non-ST segment elevation myocardial infarction (non-STEMI) undergoing PCI.
  • To identify specific hematological markers that can aid in early CIN risk stratification.

Main Methods:

  • Retrospective analysis of 387 patients diagnosed with non-STEMI who underwent PCI between 2017 and 2020.
  • Multivariate logistic regression analysis was employed to identify independent risk factors for CIN development.
  • Assessment of hemogram parameters including MPV and NLr, alongside traditional risk factors such as age, diabetes, and heart failure.

Main Results:

  • Advanced age, diabetes mellitus, congestive heart failure, contrast volume, MPV, and NLr were identified as independent risk factors for CIN.
  • MPV and NLr demonstrated significant association with CIN development (p=0.02 and p=0.001, respectively).
  • Specific cut-off values for NLr (5.5) and MPV (9.05) showed notable sensitivity and specificity in predicting CIN.

Conclusions:

  • Routine hematological parameters, specifically MPV and NLr, are valuable predictors of CIN in non-STEMI patients undergoing PCI.
  • These markers can enhance CIN risk assessment when used alongside conventional risk factors.
  • MPV and NLr represent a promising, accessible tool for improving CIN prediction and patient management.
Abstract