Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio combination can predict prognosis in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention

Angiology. 2015 May;66(5):441-7. doi: 10.1177/0003319714535970. Epub 2014 May 16.

Abstract

We assessed the effect of combination of neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) in predicting in-hospital and long-term mortality in patients (n = 2518) undergoing primary percutaneous coronary intervention (pPCI). Cutoff values for NLR and PLR were calculated with receiver-operating characteristic (ROC) curves. If both PLR and NLR were above the threshold, patients were classified as "high risk." If either PLR or NLR was above the threshold individually, patients were classified as "intermediate risk." High-risk (n = 693) and intermediate-risk (n = 545) groups had higher in-hospital and long-term mortality (7.2 4% vs 0.7%, P < .001; 14.1, 9.5% vs 4.5%, P < .001, respectively). Classifying patients into intermediate-risk group (hazards ratio [HR]: 1.492, 95% confidence interval [CI]: 1.022-2.178, P = .038) and high-risk group (HR: 1.845, 95% CI: 1.313-2.594, P < .001) was an independent predictor of in-hospital and long-term mortality. The combination of PLR and NLR can be useful for the prediction of in-hospital and long-term mortality in patients undergoing pPCI.

Keywords: acute ST-segment elevation myocardial infarction; neutrophil–lymphocyte ratio; platelet–lymphocyte ratio; primary angioplasty.

MeSH terms

  • Adult
  • Aged
  • Area Under Curve
  • Blood Platelets*
  • Female
  • Hospital Mortality
  • Humans
  • Kaplan-Meier Estimate
  • Lymphocyte Count*
  • Lymphocytes*
  • Male
  • Middle Aged
  • Myocardial Infarction / blood*
  • Myocardial Infarction / diagnosis
  • Myocardial Infarction / therapy*
  • Neutrophils*
  • Percutaneous Coronary Intervention* / adverse effects
  • Percutaneous Coronary Intervention* / mortality
  • Platelet Count*
  • Predictive Value of Tests
  • Proportional Hazards Models
  • ROC Curve
  • Retrospective Studies
  • Risk Factors
  • Time Factors
  • Treatment Outcome
  • Turkey