Relationship between Serial Serum Neutrophil-Lymphocyte Ratio, Cardiovascular Mortality, and All-Cause Mortality in

Lik Fung Sam Lau1, Jack K C Ng1, Winston W S Fung1

  • 1Carol and Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong, China.

Insights

Monitoring neutrophil-lymphocyte ratio (NLR) in peritoneal dialysis (PD) patients can predict mortality risk. Persistently high NLR levels in PD patients indicate a significantly higher risk of all-cause mortality.

Area of Science:

  • Nephrology
  • Cardiology
  • Inflammation Research

Background:

  • Cardiovascular disease is a major concern for patients undergoing peritoneal dialysis (PD).
  • Chronic inflammation is implicated in the increased cardiovascular burden observed in PD patients.
  • Neutrophil-lymphocyte ratio (NLR) is a recognized inflammatory marker linked to cardiovascular outcomes.

Purpose of the Study:

  • To investigate the prognostic value of serial neutrophil-lymphocyte ratio (NLR) measurements.
  • To assess the association of NLR with all-cause mortality and cardiovascular mortality in patients on PD.

Main Methods:

  • Serial NLR measurements were taken annually from 225 incident PD patients.
  • Patients were stratified into "high" and "low" NLR groups based on the median value.
  • All-cause mortality and cardiovascular mortality served as primary and secondary outcome measures.

Main Results:

  • Lower baseline NLR correlated with a higher survival rate (p=0.01).
  • Patients with persistently high NLR exhibited the lowest survival rates (p=0.03).
  • Multivariate analysis indicated that persistently high NLR significantly increased all-cause mortality risk (HR: 1.74, p=0.02), but not cardiovascular mortality.

Conclusions:

  • Baseline NLR is an independent predictor of all-cause mortality in PD patients.
  • Persistent elevation of NLR amplifies the risk of all-cause mortality.
  • Serial monitoring of NLR may aid in identifying high-risk PD patients for adverse outcomes.
Abstract

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