High Neutrophil-to-Lymphocyte Ratio is a Significant Predictor of Cardiovascular and All-Cause Mortality in Patients Undergoing Peritoneal Dialysis
Background/Aims: Chronic inflammation is associated with increased risk of cardiovascular death in patients with end-stage renal disease (ESRD). Although elevated neutrophil-to-lymphocyte ratio (NLR), a novel inflammatory marker, has been shown to predict cardiovascular disease and all-cause mortali...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Karger Publishers
2018-03-01
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Series: | Kidney & Blood Pressure Research |
Subjects: | |
Online Access: | https://www.karger.com/Article/FullText/488696 |
Summary: | Background/Aims: Chronic inflammation is associated with increased risk of cardiovascular death in patients with end-stage renal disease (ESRD). Although elevated neutrophil-to-lymphocyte ratio (NLR), a novel inflammatory marker, has been shown to predict cardiovascular disease and all-cause mortality in the general population, limited evidence is available for its role in ESRD. Methods: We enrolled 86 patients undergoing peritoneal dialysis (PD) for a 36-month follow-up to investigate the association between the NLR and arterial stiffness markers, namely, carotid-femoral pulse wave velocity (cfPWV) and carotid augmentation index (AIx), and mortality in PD patients. The primary endpoints were cardiovascular mortality and all-cause mortality. Kaplan–Meier curves were used to show the cumulative incidence of cardiovascular mortality and all-cause mortality. Results: High NLR was found to be a predictor of increased cfPWV (β = 1.150; P < 0.001) and AIx (β = 3.945; P < 0.001) in patients on PD. Patients with higher NLR had lower survival during follow-up. Kaplan–Meier curves showed that the cumulative incidences of both cardiovascular mortality and all-cause mortality were significantly higher in patients with NLR ≥ 4.5 (both P < 0.01). Conclusion: Our results suggest that high NLR is independently associated with arterial stiffness and predicts cardiovascular and all-cause mortality in PD patients. |
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ISSN: | 1420-4096 1423-0143 |