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Systematic Review and Meta-Analysis of Plasma and Urine Biomarkers for CKD Outcomes

医学 内科学 置信区间 荟萃分析 背景(考古学) 生物标志物 肾脏疾病 尿 生物化学 生物 古生物学 化学
作者
Caroline Liu,Neha Debnath,Gohar Mosoyan,Kinsuk Chauhan,George Vasquez‐Rios,Céline Soudant,Steven Menez,Chirag R. Parikh,Steven G. Coca
出处
期刊:Journal of The American Society of Nephrology 卷期号:33 (9): 1657-1672 被引量:42
标识
DOI:10.1681/asn.2022010098
摘要

Significance Statement Biomarker studies in the setting of CKD have increased considerably within the past 15 years, but vary significantly by design and clinical context. The authors conducted a systematic review and meta-analysis to summarize the prognostic value of preclinical plasma and urine biomarkers for CKD outcomes (incident CKD, CKD progression, or incident ESKD), including 129 studies in the meta-analysis. Pooled risk ratios (RRs) and 95% confidence intervals (CIs) among some of the most studied CKD biomarkers were 2.17 (95% CI, 1.91 to 2.47) for plasma TNFR1, 1.21 (95% CI, 1.15 to 1.28) for plasma FGF23, 2.07 (95% CI, 1.82 to 2.34) for plasma TNFR2, 1.10 (95% CI, 1.05 to 1.16) for urine KIM-1, and 1.12 (95% CI, 1.06 to 1.19) for urine NGAL. The study’s findings suggest these biomarkers merit assessment of their performance in clinical practice. Background Sensitive and specific biomarkers are needed to provide better biologic insight into the risk of incident and progressive CKD. However, studies have been limited by sample size and design heterogeneity. Methods In this assessment of the prognostic value of preclinical plasma and urine biomarkers for CKD outcomes, we searched Embase (Ovid), MEDLINE ALL (Ovid), and Scopus up to November 30, 2020, for studies exploring the association between baseline kidney biomarkers and CKD outcomes (incident CKD, CKD progression, or incident ESKD). We used random-effects meta-analysis. Results After screening 26,456 abstracts and 352 full-text articles, we included 129 studies in the meta-analysis for the most frequently studied plasma biomarkers (TNFR1, FGF23, TNFR2, KIM-1, suPAR, and others) and urine biomarkers (KIM-1, NGAL, and others). For the most frequently studied plasma biomarkers, pooled RRs for CKD outcomes were 2.17 (95% confidence interval [95% CI], 1.91 to 2.47) for TNFR1 (31 studies); 1.21 (95% CI, 1.15 to 1.28) for FGF-23 (30 studies); 2.07 (95% CI, 1.82 to 2.34) for TNFR2 (23 studies); 1.51 (95% CI, 1.38 to 1.66) for KIM-1 (18 studies); and 1.42 (95% CI, 1.30 to 1.55) for suPAR (12 studies). For the most frequently studied urine biomarkers, pooled RRs were 1.10 (95% CI, 1.05 to 1.16) for KIM-1 (19 studies) and 1.12 (95% CI, 1.06 to 1.19) for NGAL (19 studies). Conclusions Studies of preclinical biomarkers for CKD outcomes have considerable heterogeneity across study cohorts and designs, limiting comparisons of prognostic performance across studies. Plasma TNFR1, FGF23, TNFR2, KIM-1, and suPAR were among the most frequently investigated in the setting of CKD outcomes.
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