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Impact of Using Biomarkers in Eligibility Criteria in Acute Kidney Injury Randomized Controlled Trials: A Systematic
Fella Chennou1,2, Michael Strader3, Roxanne Authier1
1Université de Montréal, Montreal, QC, Canada.
Kidney Medicine
|July 25, 2026
Summary
Biomarker enrichment in acute kidney injury trials may inflate event rates and reduce statistical power. Rigorous biomarker validation is crucial before clinical trial implementation to ensure accurate outcomes.
Area of Science:
- Nephrology
- Clinical Trials
- Biomarker Research
Background:
- Randomized controlled trials (RCTs) for acute kidney injury (AKI) increasingly use biomarkers for eligibility criteria.
- Sample size calculations in these trials often rely on data from studies without biomarker enrichment.
- This discrepancy may affect the reliability of trial outcomes and statistical power.
Purpose of the Study:
- To evaluate the impact of biomarker-based enrichment strategies on event rates in AKI RCTs.
- To assess the effect of biomarker integration on the statistical power of these trials.
- To compare anticipated versus observed primary event rates in AKI clinical studies.
Main Methods:
- A PRISMA-guided systematic review and meta-analysis of RCTs published between 2010 and 2023.
- Included trials focused on patients with AKI and utilized biomarker-based eligibility criteria.
- Analyzed the absolute risk difference between anticipated and observed event rates and statistical power.
Main Results:
- Fourteen RCTs with 3,817 patients were analyzed, examining biomarkers like NGAL, TIMP-2*IGFBP7, and others.
- A pooled absolute risk difference of 0.12 (95% CI, 0.06-0.17) was observed between anticipated and actual event rates.
- Mean preplanned statistical power (0.84) was significantly higher than achieved power (0.43), with no improvement from sample size extrapolation.
Conclusions:
- Biomarker enrichment in AKI RCTs may contribute to a discrepancy between expected and observed event rates.
- Most included RCTs were underpowered for their primary outcomes, indicating potential issues with trial design.
- Emphasizes the necessity for robust biomarker validation prior to their use in clinical trial eligibility criteria.
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