Department of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
Department of Nephrology, Affiliated Sixth People's Hospital, Shanghai, China.
Ren Fail. 2023 Dec;45(1):2158103. doi: 10.1080/0886022X.2022.2158103.
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.
免疫炎症生物标志物(IIBs)已被证明与接受腹膜透析(PD)的患者的预后相关。在这项研究中,我们旨在评估新型综合生物标志物全免疫炎症值(PIV)与 PD 患者预后之间的关系。
我们回顾性分析了来自多中心、大样本 PD 数据库的数据。PIV 的计算方法为(中性粒细胞计数×血小板计数×单核细胞计数)/淋巴细胞计数。本研究的预后终点为全因死亡、全因心血管疾病(CVD)和感染相关死亡。使用 Kaplan-Meier 方法、Cox 比例风险回归、Fine-Gray 竞争风险模型、平滑曲线和亚组分析来分析 PIV 与 PD 患者预后之间的独立关系。
共纳入 2796 例 PD 患者,根据基线 PIV 的三分位将研究人群分为 Tertiles 1、2 和 3。调整多个模型因素后,Tertile 3 组患者的全因死亡、CVD 死亡和感染相关死亡风险明显高于 Tertile 1 组患者。交互检验显示亚组参数无阳性相关性。对于全因死亡,与最低三分位相比,最高三分位和中间三分位的多变量校正后的风险比(95%置信区间)分别为 1.55(1.25-1.94)和 1.77(1.43-2.19);PIV(log2 处理)与连续模型中 17%的死亡率增加相关。
基线时 PIV 较高与 PD 患者全因死亡、CVD 和感染死亡风险增加显著相关。