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Three-month variation of plasma pentraxin 3 compared with C-reactive protein, albumin and homocysteine levels in haemodialysis patients

机译:血液透析患者血浆Pentraxin 3与C反应蛋白,白蛋白和同型半胱氨酸水平相比三个月变化

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Background Inflammatory markers vary considerably over time in haemodialysis (HD) patients, yet the variability is poorly defined. The aim of the study was to assess changes of plasma levels of pentraxin-3 (PTX-3), C-reactive protein (CRP), albumin and homocysteine (Hcy) over 3 months and the association between the changes in these biomarkers and mortality. Methods In 188 prevalent HD patients, inflammatory markers were measured at inclusion and after 3 months. Mortality was recorded during a median follow-up of 41 months. The changes of the biomarker levels were categorized according to change in tertile for the specific biomarker. The variation was calculated as the intra-class correlation (ICC). Mortality was analysed by Kaplan–Meier and Cox proportional hazards model. The predictive strength was calculated for single measurements and for the variation of each inflammatory marker. Results The intra-individual variation (low ICC) was largest for PTX-3 [ICC 0.44; 95% confidence interval (CI): 0.33–0.55], albumin (ICC 0.58; 95% CI: 0.49–0.67) and CRP (ICC 0.59; 95% CI: 0.51–0.68) and lowest for Hcy (ICC 0.81; 95% CI: 0.77–0.86). During follow-up, 88 patients died. Conclusions PTX-3 measurements are less stable and show higher variation within patients than CRP, albumin and Hcy. Persistently elevated PTX-3 levels are associated with high mortality. Moreover, in multivariate logistic regression we found that stable high PTX-3 adds to the mortality risk, even after inclusion of clinical factors and the three other biomarkers. The associations of decreasing albumin levels as well as low Hcy levels with worse outcome reflect protein-energy wasting.
机译:背景血液透析(HD)患者中的炎症标志物随时间变化很大,但变异性定义不明确。该研究的目的是评估3个月内血浆Pentraxin-3(PTX-3),C反应蛋白(CRP),白蛋白和同型半胱氨酸(Hcy)的变化以及这些生物标志物变化与死亡率之间的关系。方法对188例HD患儿在入院时及3个月后测定炎症指标。在中位随访41个月期间记录了死亡率。根据特定生物标志物的三分位数变化将生物标志物水平的变化归类。该变化被计算为类内相关性(ICC)。通过Kaplan-Meier和Cox比例风险模型分析死亡率。针对单个测量值和每种炎症标记的变化计算了预测强度。结果PTX-3的个体内变异(低ICC)最大[ICC 0.44; 95%置信区间(CI):0.33–0.55],白蛋白(ICC 0.58; 95%CI:0.49–0.67)和CRP(ICC 0.59; 95%CI:0.51-0.68),Hcy最低(ICC 0.81; 95% CI:0.77–0.86)。在随访期间,有88名患者死亡。结论与CRP,白蛋白和Hcy相比,PTX-3的测量结果不稳定,并且在患者体内显示出更高的变异性。持续升高的PTX-3水平与高死亡率相关。此外,在多元逻辑回归中,我们发现即使将临床因素和其他三个生物标志物包括在内,稳定的高PTX-3也会增加死亡风险。白蛋白水平降低以及Hcy水平低与预后较差的关联反映了蛋白质能量的浪费。

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