Observational studyCritical care (London, England)2020
Urinary cell cycle arrest biomarkers and chitinase 3-like protein 1 (CHI3L1) to detect acute kidney injury in the critically ill: a post hoc laboratory analysis on the FINNAKI cohort.
Observational study in Critical care (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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12 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Impact of AKI care bundles on kidney and patient outcomes in hospitalized patients: a systematic review and meta-analysis.BMC nephrology · 2021Pooled it
- Human biomarker navigator.iMeta · 2026Review
- Urinary Calprotectin Predicts Severe Acute Kidney Injury After Non-cardiac Surgery in Surgical Intensive Care Unit: A Prospective Cohort Study.Biomarker insights · 2026Article
- Kidneys on the Frontline: Nephrologists Tackling the Wilds of Acute Kidney Injury in Trauma Patients-From Pathophysiology to Early Biomarkers.Diagnostics (Basel, Switzerland) · 2025Review
- Renal tubular epithelial cells as an easily accessible biomarker for diagnosing AKI post cardiac surgery.Intensive care medicine · 2025Article
- Advances in the diagnosis of early biomarkers for acute kidney injury: a literature review.BMC nephrology · 2025Review
- Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression to chronic kidney disease.BMC nephrology · 2023Article
- Potential of Urine Biomarkers CHI3L1, NGAL, TIMP-2, IGFBP7, and Combinations as Complementary Diagnostic Tools for Acute Kidney Injury after Pediatric Cardiac Surgery: A Prospective Cohort Study.Diagnostics (Basel, Switzerland) · 2023Article
- Serum Creatinine Levels and Nephrocheck® Values With and Without Correction for Urine Dilution-A Multicenter Observational Study.Frontiers in medicine · 2022Article
- Acute kidney injury.Nature reviews. Disease primers · 2021Review
- Current definition of acute kidney injury actually identifies a heterogenous group of patients with elevated serum creatinine and reduced urine output.Critical care (London, England) · 2020Article
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9 authors at 3 institutions in 2 countries.
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Abstract
backgroundAcute kidney injury (AKI) is a frequently occurring syndrome in critically ill patients and is associated with worse outcomes. Biomarkers allow early identification and therapy of AKI which may improve outcomes. Urine chitinase 3-like protein 1 (uCHI3L1) was recently identified as a promising urinary biomarker for AKI. In this multicenter study, we evaluated the diagnostic performance for AKI stage 2 or greater of uCHI3L1 in comparison with the urinary cell cycle arrest biomarkers urinary tissue inhibitor of metalloproteinases-2 (TIMP-2)•insulin-like growth factor-binding protein 7 (IGFBP7) measured by NephroCheck Risk®.
methodsPost hoc laboratory study of the prospective observational FINNAKI study. Of this cohort, we included patients with stored admission urine samples and availability of serum creatinine at day 1 of admission. Patients who already had AKI stage 2 or 3 at ICU admission were excluded. AKI was defined and staged according to the KDIGO definition and staging system. The primary endpoint was AKI stage 2 or 3 at day 1. Biomarker performance was assessed by the area under the curve of the receiver operating characteristic curve (AUC). We assessed individual performance and different combinations of urine biomarkers.
resultsOf 660 included patients, 49 (7.4%) had AKI stages 2-3 at day 1. All urine biomarkers were increased at admission in AKI patients. All biomarkers and most combinations had AUCs < 0.700. The combination uCHI3L1•TIMP-2 was best with a fair AUC of 0.706 (0.670, 0.718). uCHI3L1 had a positive likelihood ratio (LR) of 2.25 which was comparable to that of the NephroCheck Risk® cutoff of 2.0, while the negative LR of 0.53 was comparable to that of the NephroCheck Risk® cutoff of 0.3.
conclusionsWe found that uCHI3L1 and NephroCheck Risk® had a comparable diagnostic performance for diagnosis of AKI stage 2 or greater within a 24-h period in this multicenter FINNAKI cohort. In contrast to initial discovery and validation studies, the diagnostic performance was poor. Possible explanations for this observation are differences in patient populations, proportion of emergency admissions, proportion of functional AKI, rate of developing AKI, and observation periods for diagnosis of AKI.
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