Persistent acute kidney injury biomarkers: A systematic review and meta-analysis

荟萃分析 急性肾损伤 医学 内科学 重症监护医学
作者
Keran Shi,Wei Jiang,Song Lin,Xianghui Li,Chuanqing Zhang,Luanluan Li,Yunfan Feng,Jiayan Yang,Tianwei Wang,Haoran Wang,Lulu Zhou,Jiangquan Yu,Ruiqiang Zheng
出处
期刊:Clinica Chimica Acta [Elsevier BV]
卷期号:564: 119907-119907
标识
DOI:10.1016/j.cca.2024.119907
摘要

Various biomarkers reportedly predict persistent acute kidney injury (AKI) despite their varying predictive performance across clinical trials. This study aims to compare the accuracy of various biomarkers in predicting persistent AKI in different populations and regions. In this meta-analysis, we searched for urinary C–C motif chemokine ligand 14 (CCL14), Tissue inhibitor of metalloproteinase-2&insulin-like growth factor-binding protein-7 (TIMP-2&IGFBP7), Neutrophil Gelatinase-Associated Lipocalin (NGAL), plasma Cystatin C (pCysC), Soluble urokinase plasminogen activator receptor (suPAR), Proenkephalin (PenK) and urinary dickkopf-3:urinary creatinine (uDKK3:uCr) from various databases including Medline, PubMed, Embase, and Cochrane. This was geared towards predicting persistent AKI in adults (>18 years). Hierarchically summarized subject work characteristic curves (HSROC) and diagnostic odds ratio (DOR) values were used to summarize the diagnostic accuracy of the biomarkers. Further, meta-regression and subgroup analyses were carried out to identify sources of heterogeneity as well as evaluate the best predictive biomarkers in different populations and regions. We screened 31 studies from 2,356 studies and assessed the diagnostic value of 7 biomarkers for persistent AKI. Overall, CCL14 had the best diagnostic efficacy with an AUC of 0.79 (95% CI 0.75–0.82), whereas TIMP-2 & IGFBP7, NGAL, and pCysC had diagnostic efficacy of 0.75 (95% CI 0.71–0.79), 0.71 (95% CI 0.67–0.75), and 0.7007, respectively. Due to a limited number of studies, PenK, uDKK3:uCr, and suPAR were not subjected to meta-analysis; however, relevant literature reported diagnostic efficacy above 0.70. Subgroup analyses based on population, region, biomarker detection time, AKI onset time, and AKI duration revealed that in the intensive care unit (ICU) population, the AUC of CCL14 was 0.8070, the AUC of TIMP-2 & IGFBP7 was 0.726, the AUC of pCysC was 0.72, and the AUC of NGAL was 0.7344; in the sepsis population, the AUC of CCL14 was 0.85, the AUC of TIMP-2&IGFBP7 was 0.7438, and the AUC of NGAL was 0.544; in the post-operative population, the AUC of CCL14 was 0.83–0.93, the AUC of TIMP-2&IGFBP7 was 0.71, and the AUC of pCysC was 0.683. Regional differences were observed in biomarker prediction of persistent kidney injury, with AUCs of 0.8558 for CCL14, 0.7563 for TIMP-2 & IGFBP7, and 0.7116 for NGAL in the Eurasian American population. In the sub-African population, TIMP-2 & IGFBP7 had AUCs of 0.7945, 0.7418 for CCL14, 0.7097 for NGAL, and 0.7007 for pCysC. for TIMP-2 & IGFBP7 was 0.7945, AUC for CCL14 was 0.7418, AUC for NGAL was 0.7097, and AUC for pCysC was 0.7007 in the sub-African population. Duration of biomarker detection, AKI onset, and AKI did not influence the optimal predictive performance of CCL14. Subgroup analysis and meta-regression of CCL14-related studies revealed that CCL14 is the most appropriate biomarker for predicting persistent stage 2–3 AKI, with heterogeneity stemming from sample size and AKI staging. This meta-analysis discovered CCL14 as the best biomarker to predict persistent AKI, specifically persistent stage 2–3 AKI.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
所所应助科研通管家采纳,获得10
刚刚
Lucas应助科研通管家采纳,获得10
刚刚
Akim应助科研通管家采纳,获得10
刚刚
SYLH应助科研通管家采纳,获得10
刚刚
CodeCraft应助彩色芷采纳,获得10
刚刚
刚刚
刚刚
111发布了新的文献求助10
刚刚
陌上花开发布了新的文献求助10
1秒前
1秒前
彼方尚有荣光在完成签到 ,获得积分10
1秒前
Havean发布了新的文献求助10
1秒前
2秒前
abala完成签到,获得积分20
2秒前
nhx发布了新的文献求助10
3秒前
3秒前
5秒前
5秒前
kagami完成签到,获得积分10
5秒前
6秒前
万能图书馆应助旺仔采纳,获得10
6秒前
SciGPT应助BrandNew。采纳,获得10
7秒前
111发布了新的文献求助10
7秒前
耶嘿发布了新的文献求助10
7秒前
Dhdhshsh完成签到,获得积分20
7秒前
7秒前
8秒前
9秒前
华仔应助log采纳,获得10
9秒前
Aura完成签到,获得积分10
9秒前
10秒前
所所应助yixing采纳,获得10
10秒前
乐乐应助DZ采纳,获得10
10秒前
Orange应助勤奋的安梦采纳,获得10
10秒前
芜湖发布了新的文献求助10
11秒前
11秒前
yufanhui应助nhx采纳,获得10
11秒前
烂漫臻发布了新的文献求助10
12秒前
12秒前
111完成签到,获得积分10
13秒前
高分求助中
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Effective Learning and Mental Wellbeing 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3974712
求助须知:如何正确求助?哪些是违规求助? 3519159
关于积分的说明 11197254
捐赠科研通 3255257
什么是DOI,文献DOI怎么找? 1797724
邀请新用户注册赠送积分活动 877130
科研通“疑难数据库(出版商)”最低求助积分说明 806132