Pan-immune-inflammation value is associated with poor prognosis in patients undergoing peritoneal dialysis

Immune-inflammatory biomarkers (IIBs) have been shown to be correlated with prognosis in patients undergoing peritoneal dialysis (PD). In this study, we aimed to evaluate the relationship between a novel comprehensive biomarker, the pan-immune-inflammation value (PIV), and the prognosis of patients...

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Vydáno v:Renal failure Ročník 45; číslo 1; s. 2158103
Hlavní autoři: Zhang, Fengping, Li, Luohua, Wu, Xianfeng, Wen, Yueqiang, Zhan, Xiaojiang, Peng, Fenfen, Wang, Xiaoyang, Zhou, Qian, Feng, Xiaoran
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Taylor & Francis 01.12.2023
Taylor & Francis Ltd
Taylor & Francis Group
Témata:
biomarker
Biomarkers
Cardiovascular diseases
Cardiovascular Diseases - etiology
Cell number
Clinical Study
Death
Humans
Infections
Inflammation
Leukocytes (neutrophilic)
Lymphocytes
Monocytes
pan-immune-inflammation value
Peritoneal Dialysis
Peritoneum
Population studies
Prognosis
Proportional Hazards Models
Retrospective Studies
biomarker
prognosis
Peritoneal dialysis
pan-immune-inflammation value
ISSN:0886-022X, 1525-6049, 1525-6049
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Shrnutí:Immune-inflammatory biomarkers (IIBs) have been shown to be correlated with prognosis in patients undergoing peritoneal dialysis (PD). In this study, we aimed to evaluate the relationship between a novel comprehensive biomarker, the pan-immune-inflammation value (PIV), and the prognosis of patients undergoing PD. We retrospectively analyzed data from a multicenter, large-sample PD database. PIV was calculated as (neutrophil count × platelet count × monocyte count)/lymphocyte count. The prognostic endpoints in this study were all-cause death all-cause, cardiovascular disease (CVD) and infection-related death. The Kaplan-Meier method, a Cox proportional hazards regression, Fine-Gray competing risk model, smooth curve, and subgroup analysis were used to analyze the independent relationship between PIV and the prognosis of patients undergoing PD. A total of 2796 cases of PD were included, and the study population was divided into Tertiles 1, 2, and 3, according to the tertiles of baseline PIVs. After adjusting for multiple model factors, patients in the Tertile 3 group had a significantly higher risk of all-cause death, CVD death and infection-related death compared with patients with PIV in the Tertile 1 group. Interaction tests showed no positive correlations for subgroup parameters. Regarding all-cause death, compared with the lowest tertile, the multivariable-adjusted hazard ratios (95% confidence intervals) of the highest and middle tertiles were 1.55 (1.25-1.94) and 1.77 (1.43-2.19), respectively; PIV (log2 processing) was associated with 17% excess of mortality in the continuous model. A high PIV at baseline was significantly associated with an increased risk of deaths due to all-causes, CVD and infection in patients undergoing PD.
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These authors contributed equally to this work.
ISSN:0886-022X
1525-6049
1525-6049
DOI:10.1080/0886022X.2022.2158103