ArticleJournal of intensive care2023
Analysis of urinary C-C motif chemokine ligand 14 (CCL14) and first-generation urinary biomarkers for predicting renal recovery from acute kidney injury: a prospective exploratory study.
Article in Journal of intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Performance of urinary C-C motif chemokine ligand 14 for the prediction of persistent acute kidney injury: a systematic review and meta-analysis.Critical care (London, England) · 2023Pooled it
- A Hierarchical End Point Analysis of the Worldwide Exploration of Renal Replacement Outcomes Collaborative in Kidney Disease (WE ROCK) Cohort.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Validation of biomarker-based stratification for risk of long-term outcomes after acute kidney injury.Clinical kidney journal · 2026Article
- The effects of hemoadsorption in patients with sepsis-associated persistent severe AKI who require CRRT: A prospective, randomized controlled pilot study.Annals of intensive care · 2026Article
- The use of urinary biomarkers as prognostic tools: predicting kidney outcomes in pediatric acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2025Article
- Kidneys on the Frontline: Nephrologists Tackling the Wilds of Acute Kidney Injury in Trauma Patients-From Pathophysiology to Early Biomarkers.Diagnostics (Basel, Switzerland) · 2025Review
- Article
- Preventing acute kidney injury and its longer-term impact in the critically ill.Intensive care medicine · 2025Review
- C-C motif chemokine ligand 14 characterization for prediction of persistent severe AKI in post-cardiac surgery children.Pediatric nephrology (Berlin, Germany) · 2025Article
- Performance of urinary C-C motif chemokine ligand 14 and the renal resistive index in predicting persistent AKI.Renal failure · 2024Observational
- Association between the levels of urinary cell cycle biomarkers and non-recovery of renal function among critically ill geriatric patients with acute kidney injury.Renal failure · 2024Observational
- Biomarkers in acute kidney injury.Annals of intensive care · 2024Review
- Predictive performance of two types of urinary biomarkers for renal non-recovery in sepsis-associated acute kidney injury: a prospective observational study.BMC nephrology · 2024Observational
- Acute Kidney Injury after Cardiac Surgery: Prediction, Prevention, and Management.Anesthesiology · 2023Review
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10 authors.
Funding
Abstract
backgroundAcute kidney injury (AKI) is a frequent syndrome in the intensive care unit (ICU). AKI patients with kidney function recovery have better short-term and long-term prognoses compared with those with non-recovery. Numerous studies focus on biomarkers to distinguish them. To better understand the predictive performance of urinary biomarkers of renal recovery in patients with AKI, we evaluated C-C motif chemokine ligand 14 (CCL14) and two first-generation biomarkers (cell cycle arrest biomarkers and neutrophil gelatinase-associated lipocalin) in two ICU settings.
methodsWe performed a prospective study to analyze urinary biomarkers for predicting renal recovery from AKI. Patients who developed AKI after ICU admission were enrolled and urinary biomarkers including tissue inhibitor of metalloproteinase-2 (TIMP-2), insulin-like growth factor-binding protein 7 (IGFBP7), CCL14, and neutrophil gelatinase-associated lipocalin (NGAL) were detected on the day of AKI diagnosis. The primary endpoint was non-recovery from AKI within 7 days. The individual discriminative ability of CCL14, [TIMP-2] × [IGFBP7] and NGAL to predict renal non-recovery were evaluated by the area under receiver operating characteristics curve (AUC).
resultsOf 164 AKI patients, 64 (39.0%) failed to recover from AKI onset. CCL14 showed a fair prediction ability for renal non-recovery with an AUC of 0.71 (95% CI 0.63-0.77, p < 0.001). [TIMP-2] × [IGFBP7] showed the best prediction for renal non-recovery with an AUC of 0.78 (95% CI 0.71-0.84, p < 0.001). However, NGAL had no use in predicting non-recovery with an AUC of 0.53 (95% CI 0.45-0.60, p = 0.562). A two-parameter model (non-renal SOFA score and AKI stage) predicted renal non-recovery with an AUC of 0.77 (95% CI 0.77-0.83, p = 0.004). When [TIMP-2] × [IGFBP7] was combined with the clinical factors, the AUC was significantly improved to 0.82 (95% CI 0.74-0.87, p = 0.049).
conclusionsUrinary CCL14 and [TIMP-2] × [IGFBP7] were fair predictors of renal non-recovery from AKI. Combing urinary [TIMP-2] × [IGFBP7] with a clinical model consisting of non-renal SOFA score and AKI stage enhanced the predictive power for renal non-recovery. Urinary CCL14 showed no significant advantage in predicting renal non-recovery compared to [TIMP-2] × [IGFBP7].
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