Trial reportClinical journal of the American Society of Nephrology : CJASN2011
Urinary biomarkers and renal recovery in critically ill patients with renal support.
Trial report in Clinical journal of the American Society of Nephrology : CJASN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 167 citations in OpenAlex.
- Validated risk prediction models for outcomes of acute kidney injury: a systematic review.BMC nephrology · 2023Pooled it
- Timing of kidney replacement therapy initiation for acute kidney injury.The Cochrane database of systematic reviews · 2022Pooled it
- Prospective model for predicting renal recovery in cardiac surgery patients with acute kidney injury requiring renal replacement therapy.Nephrology (Carlton, Vic.) · 2021Trial
- Urinary TIMP-2 and IGFBP7 as early biomarkers of acute kidney injury and renal recovery following cardiac surgery.PloS one · 2014Trial
- Value of plasmatic membrane attack complex as a marker of severity in acute kidney injury.BioMed research international · 2014Trial
- Can Biomarkers Predict Kidney Function Recovery and Mortality in Patients with Critical COVID-19 and Acute Kidney Injury?Diagnostics (Basel, Switzerland) · 2025Article
- State of the art: Renal recovery after AKI - from basic science to clinical practice.Intensive care medicine · 2025Review
- Current role of biomarkers in the initiation and weaning of kidney replacement therapy in acute kidney injury.World journal of nephrology · 2025Review
- Recovery of kidney function in acute kidney injury.Journal of nephrology · 2025Review
- Acute Kidney Injury Prognosis Prediction Using Machine Learning Methods: A Systematic Review.Kidney medicine · 2025Review
- Serum Hepatocyte Growth Factor Concentration Correlates with Albuminuria in Individuals with Optimal Blood Pressure and Untreated Arterial Hypertension.Biomedicines · 2024Article
- A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injury.Kidney research and clinical practice · 2024Article
- A clinical score to predict recovery in end-stage kidney disease due to acute kidney injury.Clinical kidney journal · 2024Article
- Evaluation of NAG, NGAL, and KIM-1 as Prognostic Markers of the Initial Evolution of Kidney Transplantation.Diagnostics (Basel, Switzerland) · 2023Article
- Urinary neutrophil gelatinase-associated lipocalin and plasma IL-6 in discontinuation of continuous venovenous hemodiafiltration for severe acute kidney injury: a multicenter prospective observational study.Annals of intensive care · 2023Article
- Clinical and Biochemical Profile Associated with Renal Recovery after Acute Kidney Injury in A Mexican Population: Retrospective Cohort Study.Medicina (Kaunas, Lithuania) · 2023Article
- Renal scintigraphy to predict persistent renal failure after acute kidney injury: an observational study.Journal of nephrology · 2023Observational
- Different Roles of Functional and Structural Renal Markers Measured at Discontinuation of Renal Replacement Therapy for Acute Kidney Injury.Blood purification · 2023Article
- Predicting renal function recovery and short-term reversibility among acute kidney injury patients in the ICU: comparison of machine learning methods and conventional regression.Renal failure · 2022Review
- The Growth Factors: Potential Biomarkers and Therapeutic Targets in Kidney Diseases.Kidney diseases (Basel, Switzerland) · 2022Review
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
objectivesDespite significant advances in the epidemiology of acute kidney injury (AKI), prognostication remains a major clinical challenge. Unfortunately, no reliable method to predict renal recovery exists. The discovery of biomarkers to aid in clinical risk prediction for recovery after AKI would represent a significant advance over current practice. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We conducted the Biological Markers of Recovery for the Kidney study as an ancillary to the Acute Renal Failure Trial Network study. Urine samples were collected on days 1, 7, and 14 from 76 patients who developed AKI and received renal replacement therapy (RRT) in the intensive care unit. We explored whether levels of urinary neutrophil gelatinase-associated lipocalin (uNGAL), urinary hepatocyte growth factor (uHGF), urinary cystatin C (uCystatin C), IL-18, neutrophil gelatinase-associated lipocalin/matrix metalloproteinase-9, and urine creatinine could predict subsequent renal recovery.
resultsWe defined renal recovery as alive and free of dialysis at 60 days from the start of RRT. Patients who recovered had higher uCystatin C on day 1 (7.27 versus 6.60 ng/mg·creatinine) and lower uHGF on days 7 and 14 (2.97 versus 3.48 ng/mg·creatinine; 2.24 versus 3.40 ng/mg·creatinine). For predicting recovery, decreasing uNGAL and uHGF in the first 14 days was associated with greater odds of renal recovery. The most predictive model combined relative changes in biomarkers with clinical variables and resulted in an area under the receiver-operator characteristic curve of 0.94.
conclusionsWe showed that a panel of urine biomarkers can augment clinical risk prediction for recovery after AKI.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.