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Pan-immune-inflammation value is associated with poor prognosis in patients undergoing peritoneal dialysis.
Zhang, Fengping; Li, Luohua; Wu, Xianfeng; Wen, Yueqiang; Zhan, Xiaojiang; Peng, Fenfen; Wang, Xiaoyang; Zhou, Qian; Feng, Xiaoran.
Afiliação
  • Zhang F; Department of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
  • Li L; Department of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
  • Wu X; Department of Nephrology, Affiliated Sixth People's Hospital, Shanghai, China.
  • Wen Y; Department of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Zhan X; Department of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Peng F; Department of Nephrology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
  • Wang X; Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Zhou Q; Department of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Feng X; Department of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
Ren Fail ; 45(1): 2158103, 2023 Dec.
Article em En | MEDLINE | ID: mdl-36632816
ABSTRACT

BACKGROUND:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article