Four biomarkers shown to predict the risk of progressive heart and kidney disease in people with type 2 diabetes with diabetic kidney disease

Iskandar Idris DM
{"title":"Four biomarkers shown to predict the risk of progressive heart and kidney disease in people with type 2 diabetes with diabetic kidney disease","authors":"Iskandar Idris DM","doi":"10.1002/doi2.73","DOIUrl":null,"url":null,"abstract":"<p>In this study,<span><sup>1</sup></span> concentrations of NT-proBNP (N-terminal pro-B-type natriuretic peptide), high-sensitivity cardiac troponin T, growth differentiation factor-15, and IGFBP7 (insulin-like growth factor binding protein 7) were measured in the 2627 people who participated in the Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE). Investigators examined the effect of canagliflozin on biomarker concentrations as well as the prognostic potential of each biomarker on the primary outcome (a composite of end-stage kidney disease [dialysis, transplantation, or a sustained estimated glomerular filtration rate of &lt;15 mL·min<sup>−1</sup>·1.73 m<sup>−2</sup>], doubling of the serum creatinine level, or renal death or cardiovascular death).</p><p>The study showed that baseline concentrations of each biomarker were strongly predictive of cardiac and renal outcomes. When the biomarkers were analysed together in a multimarker panel, individuals with high and moderate risk scores showed a higher risk for these outcome compared with those with low risk scores. By 1 year, a 50% increase in these biomarkers was associated with increased risk of the primary outcomes. Use of canagliflozin reduced the rise in each biomarker compared with placebo. A major limitations of the analysis however is that not all study participants in the trial had available samples for biomarker measurement. In addition, missing biomarker values during follow up may limit robust interpretation of the analysis. Nonetheless findings from this analysis provides some evidence and rationale to investigate the clinical utility of additional biomarkers as independent predictors of adverse cardiac and renal outcomes. In addition to providing individualized intensive treatment options to high risk patients, it may also provide some mechanistic understanding of how this drug class improved cardio-renal outcomes in people with type 2 diabetes and diabetic kidney disease.</p>","PeriodicalId":100370,"journal":{"name":"Diabetes, Obesity and Metabolism Now","volume":"1 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/doi2.73","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes, Obesity and Metabolism Now","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/doi2.73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this study,1 concentrations of NT-proBNP (N-terminal pro-B-type natriuretic peptide), high-sensitivity cardiac troponin T, growth differentiation factor-15, and IGFBP7 (insulin-like growth factor binding protein 7) were measured in the 2627 people who participated in the Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE). Investigators examined the effect of canagliflozin on biomarker concentrations as well as the prognostic potential of each biomarker on the primary outcome (a composite of end-stage kidney disease [dialysis, transplantation, or a sustained estimated glomerular filtration rate of <15 mL·min−1·1.73 m−2], doubling of the serum creatinine level, or renal death or cardiovascular death).

The study showed that baseline concentrations of each biomarker were strongly predictive of cardiac and renal outcomes. When the biomarkers were analysed together in a multimarker panel, individuals with high and moderate risk scores showed a higher risk for these outcome compared with those with low risk scores. By 1 year, a 50% increase in these biomarkers was associated with increased risk of the primary outcomes. Use of canagliflozin reduced the rise in each biomarker compared with placebo. A major limitations of the analysis however is that not all study participants in the trial had available samples for biomarker measurement. In addition, missing biomarker values during follow up may limit robust interpretation of the analysis. Nonetheless findings from this analysis provides some evidence and rationale to investigate the clinical utility of additional biomarkers as independent predictors of adverse cardiac and renal outcomes. In addition to providing individualized intensive treatment options to high risk patients, it may also provide some mechanistic understanding of how this drug class improved cardio-renal outcomes in people with type 2 diabetes and diabetic kidney disease.

四种生物标志物显示可预测2型糖尿病合并糖尿病肾病患者发生进展性心脏病和肾病的风险
在这项研究中,在2627名参与加格列净和糖尿病肾病临床评估(CREDENCE)的患者中测量了NT-proBNP(N-末端B型钠尿肽原)、高敏心肌肌钙蛋白T、生长分化因子-15和IGFBP7(胰岛素样生长因子结合蛋白7)的浓度。研究人员检查了卡格列净对生物标志物浓度的影响,以及每种生物标志物对主要结果的预后潜力(终末期肾病[透析、移植或持续估计的肾小球滤过率<15的复合物 mL·min−1·1.73 m−2],血清肌酸酐水平翻倍,或肾死亡或心血管死亡)。研究表明,每种生物标志物的基线浓度都能有力地预测心脏和肾脏的结果。当在多标记物小组中一起分析生物标志物时,与低风险评分的人相比,高风险评分和中等风险评分的个人显示出更高的风险。按1 年,这些生物标志物增加50%和主要结果的风险增加有关。与安慰剂相比,使用卡格列净降低了每种生物标志物的升高。然而,分析的一个主要局限性是,并非所有试验参与者都有可用的生物标志物测量样本。此外,随访期间缺失的生物标志物值可能会限制对分析的稳健解释。尽管如此,该分析的发现为研究额外生物标志物作为不良心脏和肾脏结果的独立预测因子的临床效用提供了一些证据和理由。除了为高危患者提供个性化的强化治疗选择外,它还可能对这类药物如何改善2型糖尿病和糖尿病肾病患者的心肾结果提供一些机制上的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信