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用于预测肾脏疾病进展和心血管结局的循环蛋白:四项队列研究的个体参与者数据荟萃分析

Circulating Proteins for Prediction of Kidney Disease Progression and Cardiovascular Outcomes: Individual Participant Data Meta-Analysis of Four Cohorts.

作者信息

Lopez-Silva Carolina, Surapaneni Aditya, Coresh Josef, Chen Teresa K, Schlosser Pascal, Rhee Eugene P, Waikar Sushrut S, Schmidt Insa M, Deo Rajat, Ganz Peter, Dubin Ruth, Ramachandran Vasan S, Kimmel Paul L, Schrauben Sarah, Parikh Chirag R, Bonventre Joseph V, Dobre Mirela, Rao Panduranga S, Ricardo Ana C, Weir Matthew R, Grams Morgan E

出版信息

Am J Nephrol. 2025 Jun 30:1-23. doi: 10.1159/000547138.

Abstract

BACKGROUND AND OBJECTIVES

KIM-1, TNFRSF1A, and TNFRSF1B have been accepted as early risk markers in diabetic kidney disease by the US Food and Drug Administration. Whether they may be useful in identifying high-risk patients for cardiovascular/kidney clinical trial enrollment in other important subgroups is uncertain.

METHODS

We evaluated the potential prognostic enrichment of KIM-1, TNFRSF1A and TNFRSF1B in four cohorts: the Atherosclerosis Risk in Communities [ARIC] [N=4594, mean age 76 years, 55% women, mean eGFR 68 mL/min/1.73m2]), African American Study of Kidney Disease and Hypertension [AASK] [N=705, mean age 55 years, 39% women, mean mGFR 46 mL/min/1.73m2]), Chronic Renal Insufficiency Cohort [CRIC] [N=2943, mean age 59 years, 45% women, mean eGFR 35 mL/min/1.73m2], and Boston Kidney Biopsy Cohort [BKBC] [N=434, mean age 54 years, 48% women, mean eGFR 51 mL/min/1.73m2]. We evaluated three outcomes: 40% glomerular filtration rate (GFR) decline, kidney failure, and incident cardiovascular disease (CVD) overall and in two subgroups historically underrepresented in clinical trials: participants with no diabetes, and those with albuminuria <200 mg/g.

RESULTS

Published models (40% decline tool, kidney failure risk equation, and PREVENT) using clinical variables had moderate to strong risk discrimination in each cohort: 40% GFR decline, AUROC range: 0.78-0.90; kidney failure, C-statistic range: 0.75-0.93; and CVD, C-statistic range: 0.59-0.79. After addition of biomarkers, there was a small but significant improvement in the meta-analyzed overall population: change in AUROC in 40% GFR decline: 0.02, p<0.001; change in C-statistic for kidney failure: 0.01, p=0.02; change in C-statistic for CVD: 0.01, p=0.03. Among participants without diabetes, the change was statistically significant only for 40% decline; among patient with albuminuria <200 mg/g, the change was statistically significant only for the two kidney outcomes.

CONCLUSIONS

KIM-1, TNFRSF1A, and TNFRSF1B may not be strong prognostic enrichment biomarkers over and above clinical risk estimates. Clinical trials should test whether they help with predictive enrichment.

摘要

背景与目的

KIM-1、TNFRSF1A和TNFRSF1B已被美国食品药品监督管理局认可为糖尿病肾病的早期风险标志物。它们在识别其他重要亚组中适合心血管/肾脏临床试验入组的高危患者方面是否有用尚不确定。

方法

我们在四个队列中评估了KIM-1、TNFRSF1A和TNFRSF1B的潜在预后富集情况:社区动脉粥样硬化风险研究(ARIC)(N = 4594,平均年龄76岁,55%为女性,平均估算肾小球滤过率[eGFR]为68 mL/min/1.73m²)、非裔美国人肾脏疾病与高血压研究(AASK)(N = 705,平均年龄55岁,39%为女性,平均平均肾小球滤过率[mGFR]为46 mL/min/1.73m²)、慢性肾功能不全队列研究(CRIC)(N = 2943,平均年龄59岁,45%为女性,平均eGFR为35 mL/min/1.73m²)以及波士顿肾脏活检队列研究(BKBC)(N = 434,平均年龄54岁,48%为女性,平均eGFR为51 mL/min/1.73m²)。我们评估了三个结局:肾小球滤过率(GFR)下降40%、肾衰竭以及总体新发心血管疾病(CVD),并在临床试验中历史代表性不足的两个亚组中进行了评估:无糖尿病参与者以及白蛋白尿<200 mg/g的参与者。

结果

使用临床变量的已发表模型(40%下降工具、肾衰竭风险方程和PREVENT)在每个队列中具有中度至高度的风险辨别能力:GFR下降40%,曲线下面积(AUROC)范围为0.78 - 0.90;肾衰竭,C统计量范围为0.75 - 0.93;CVD,C统计量范围为0.59 - 0.79。加入生物标志物后,荟萃分析的总体人群有小幅但显著的改善:GFR下降40%时AUROC的变化:0.02,p<0.001;肾衰竭C统计量的变化:0.01,p = 0.02;CVD C统计量的变化:0.01,p = 0.03。在无糖尿病的参与者中,仅GFR下降40%时变化具有统计学意义;在白蛋白尿<200 mg/g的患者中,仅两个肾脏结局的变化具有统计学意义。

结论

KIM-1、TNFRSF1A和TNFRSF1B可能并非超越临床风险评估的强大预后富集生物标志物。临床试验应测试它们是否有助于预测富集。

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本文引用的文献

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