• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

血液和尿液生物标志物预测 2 型糖尿病急性冠状动脉综合征后肾功能恶化:来自 EXAMINE 试验的分析。

Blood and Urine Biomarkers Predicting Worsening Kidney Function in Patients with Type 2 Diabetes Post-Acute Coronary Syndrome: An Analysis from the EXAMINE Trial.

机构信息

Centre D'Investigation Clinique-Plurithématique Inserm CIC-P 1433, Inserm U1116, CHRU Nancy Hopitaux de Brabois, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Université de Lorraine, Institut Lorrain Du Coeur et des Vaisseaux Louis Mathieu, Vandoeuvre lès Nancy, France.

Cardiovascular Research and Development Center, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal.

出版信息

Am J Nephrol. 2021;52(12):969-976. doi: 10.1159/000519436. Epub 2021 Dec 6.

DOI:10.1159/000519436
PMID:34872085
Abstract

INTRODUCTION

Worsening kidney function (WKF) is frequent among patients with type 2 diabetes (T2D) and a recent acute coronary syndrome (ACS) and is associated with a poor prognosis. An accurate prediction of WKF is clinically important.

AIMS

Using data from the Cardiovascular Outcomes Study of Alogliptin in Patients with Type 2 Diabetes and Acute Coronary Syndrome trial including patients with T2D and a recent ACS, and a large biomarker panel incorporating proteins measured both in blood and urine, we aim to determine those with best performance for WKF prediction.

METHODS

WKF was defined as a ≥40% estimated glomerular filtration rate (eGFR) drop from baseline, eGFR <15 mL/min, or dialysis. Mixed-effects and time-updated Cox models were used.

RESULTS

5,131 patients were included from whom 222 (4.3%) developed at least one WKF episode over a median follow-up of 18 months. Patients who developed WKF were more frequently women, had longer diabetes duration, a more frequent heart failure history, higher anemia prevalence, and impaired kidney function. In multivariable models including all variables (clinical and biomarkers) independently associated with WKF with a p value ≤0.0001, blood kidney injury molecule 1 (KIM-1) was (by far) the variable with strongest WKF association, followed by anemia. KIM-1 alone provided good discrimination for WKF prediction (area under the curve = 0.73). Patients in the high KIM-1-derived risk tertile had a 6.7-fold higher risk of any WKF than patients classified as low risk. In time-updated Cox models, the occurrence of WKF was independently associated with a higher risk of death: adjusted hazard ratio = 4.93 (3.06-7.96), p value <0.0001.

CONCLUSION

Blood KIM-1 was the biomarker with the strongest association with WKF. The occurrence of WKF was independently associated with a higher risk of subsequent cardiovascular events and mortality.

摘要

简介

2 型糖尿病(T2D)合并近期急性冠状动脉综合征(ACS)患者常出现肾功能恶化(WKF),且预后不良。准确预测 WKF 具有重要的临床意义。

目的

利用 Alogliptin 在 2 型糖尿病和急性冠状动脉综合征患者心血管结局研究中的数据,该研究纳入了 T2D 合并近期 ACS 的患者,并结合包含血液和尿液中测量的蛋白质的大型生物标志物组,我们旨在确定那些对 WKF 预测具有最佳性能的标志物。

方法

WKF 定义为肾小球滤过率(eGFR)从基线下降≥40%,eGFR<15 mL/min 或需要透析。采用混合效应和时间更新的 Cox 模型。

结果

共纳入 5131 例患者,其中 222 例(4.3%)在中位随访 18 个月期间至少发生了一次 WKF 事件。发生 WKF 的患者更常见于女性,糖尿病病程更长,心力衰竭史更频繁,贫血发生率更高,肾功能受损。在包括所有与 WKF 相关的变量(临床和生物标志物)的多变量模型中,具有最强 WKF 相关性的变量是血肾损伤分子 1(KIM-1)(到目前为止),其次是贫血。仅 KIM-1 对 WKF 预测具有良好的区分能力(曲线下面积=0.73)。在高 KIM-1 衍生风险三分位的患者发生任何 WKF 的风险是低风险患者的 6.7 倍。在时间更新的 Cox 模型中,WKF 的发生与更高的死亡风险独立相关:调整后的危险比=4.93(3.06-7.96),p 值<0.0001。

结论

血 KIM-1 是与 WKF 关联最强的生物标志物。WKF 的发生与随后发生心血管事件和死亡的风险增加独立相关。

相似文献

1
Blood and Urine Biomarkers Predicting Worsening Kidney Function in Patients with Type 2 Diabetes Post-Acute Coronary Syndrome: An Analysis from the EXAMINE Trial.血液和尿液生物标志物预测 2 型糖尿病急性冠状动脉综合征后肾功能恶化:来自 EXAMINE 试验的分析。
Am J Nephrol. 2021;52(12):969-976. doi: 10.1159/000519436. Epub 2021 Dec 6.
2
Interplay between worsening kidney function and cardiovascular events in patients with type 2 diabetes: an analysis from the ACCORD trial.2 型糖尿病患者肾功能恶化与心血管事件之间的相互作用:来自 ACCORD 试验的分析。
BMJ Open Diabetes Res Care. 2021 Jul;9(1). doi: 10.1136/bmjdrc-2021-002408.
3
Kidney Biomarkers and Decline in eGFR in Patients with Type 2 Diabetes.2 型糖尿病患者的肾脏生物标志物与 eGFR 下降。
Clin J Am Soc Nephrol. 2018 Mar 7;13(3):398-405. doi: 10.2215/CJN.05280517. Epub 2018 Jan 16.
4
Decreased plasma α-Klotho predict progression of nephropathy with type 2 diabetic patients.血浆α-klotho水平降低预示2型糖尿病患者肾病的进展。
J Diabetes Complications. 2016 Jul;30(5):887-92. doi: 10.1016/j.jdiacomp.2016.03.006. Epub 2016 Mar 11.
5
Urinary tubular biomarkers as predictors of kidney function decline, cardiovascular events and mortality in microalbuminuric type 2 diabetic patients.尿小管生物标志物可预测微量白蛋白尿 2 型糖尿病患者的肾功能下降、心血管事件和死亡。
Acta Diabetol. 2018 Nov;55(11):1143-1150. doi: 10.1007/s00592-018-1205-0. Epub 2018 Aug 14.
6
Association of kidney disease measures with risk of renal function worsening in patients with hypertension and type 2 diabetes.高血压和2型糖尿病患者的肾脏疾病指标与肾功能恶化风险的关联
J Diabetes Complications. 2017 Feb;31(2):419-426. doi: 10.1016/j.jdiacomp.2016.10.030. Epub 2016 Oct 29.
7
Urinary Potassium Excretion and Renal and Cardiovascular Complications in Patients with Type 2 Diabetes and Normal Renal Function.2型糖尿病且肾功能正常患者的尿钾排泄与肾脏及心血管并发症
Clin J Am Soc Nephrol. 2015 Dec 7;10(12):2152-8. doi: 10.2215/CJN.00980115. Epub 2015 Nov 12.
8
Circulating kidney injury molecule-1 as a biomarker of renal parameters in diabetic kidney disease.循环肾损伤分子-1 作为糖尿病肾病肾参数的生物标志物。
J Diabetes Investig. 2020 Mar;11(2):435-440. doi: 10.1111/jdi.13139. Epub 2019 Sep 21.
9
Characterization of baseline clinical factors associated with incident worsening kidney function in patients with non-valvular atrial fibrillation: the Hokuriku-Plus AF Registry.非瓣膜性心房颤动患者肾功能恶化事件相关基线临床因素的特征分析:北陆plus房颤注册研究
Heart Vessels. 2023 Mar;38(3):402-411. doi: 10.1007/s00380-022-02178-w. Epub 2022 Oct 17.
10
Serum kidney injury molecule 1 and β-microglobulin perform as well as larger biomarker panels for prediction of rapid decline in renal function in type 2 diabetes.血清肾损伤分子 1 和β-微球蛋白与更大的生物标志物组合在预测 2 型糖尿病患者肾功能快速下降方面表现相当。
Diabetologia. 2019 Jan;62(1):156-168. doi: 10.1007/s00125-018-4741-9. Epub 2018 Oct 5.

引用本文的文献

1
Recent progress in mass spectrometry-based urinary proteomics.基于质谱的尿液蛋白质组学的最新进展。
Clin Proteomics. 2024 Feb 22;21(1):14. doi: 10.1186/s12014-024-09462-z.
2
Proteomic profiling of longitudinal changes in kidney function among middle-aged and older men and women: the KORA S4/F4/FF4 study.中年和老年男性和女性肾功能纵向变化的蛋白质组学分析:KORA S4/F4/FF4 研究。
BMC Med. 2023 Jul 5;21(1):245. doi: 10.1186/s12916-023-02962-z.