Observational studyCritical care (London, England)2017
Evaluation of clinically available renal biomarkers in critically ill adults: a prospective multicenter observational study.
Observational study in Critical care (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- Characterization of Risk Prediction Models for Acute Kidney Injury: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Clinical prediction models for acute kidney injury.Revista Brasileira de terapia intensiva · 2020Pooled it
- Plasma VGF as a Predictive Biomarker for Early Acute Kidney Injury in Critically Ill Elderly Patients:Saudi medical journal · 2026Article
- Predictive Value of 48-hour Anion Gap Fluctuations in ICU Patients with Acute Kidney Injury: An Analysis based on MIMIC Database.Current pharmaceutical design · 2026Article
- Combining cardiac and renal biomarkers to establish a clinical early prediction model for cardiac surgery-associated acute kidney injury: a prospective observational study.Journal of thoracic disease · 2024Article
- Modified furosemide responsiveness index and biomarkers for AKI progression and prognosis: a prospective observational study.Annals of intensive care · 2024Article
- Article
- Predictive value of combining urinary N-acetyl-β-D-glucosaminidase and serum homocysteine for contrast-induced nephropathy in patients after percutaneous coronary intervention.Frontiers in cardiovascular medicine · 2024Article
- Revisiting the Role of NAG across the Continuum of Kidney Disease.Bioengineering (Basel, Switzerland) · 2023Review
- Observational
- Efficacy of Continuous Renal Replacement Therapy and Intermittent Hemodialysis in Patients with Renal Failure in Intensive Care Unit: A Systemic Review and Meta-analysis.Evidence-based complementary and alternative medicine : eCAM · 2023Article
- Use of ultra high performance liquid chromatography with high resolution mass spectrometry to analyze urinary metabolome alterations following acute kidney injury in post-cardiac surgery patients.Journal of mass spectrometry and advances in the clinical lab · 2022Article
- Observational
- The incidence, risk factors and outcomes of acute kidney injury in critically ill patients undergoing emergency surgery: a prospective observational study.BMC nephrology · 2022Observational
- A nomogram based on serum cystatin C for predicting acute kidney injury in patients with traumatic brain injury.Renal failure · 2021Observational
- Assessment of 17 clinically available renal biomarkers to predict acute kidney injury in critically ill patients.Journal of translational internal medicine · 2021Article
- A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients.BMC nephrology · 2021Article
- Potential Value of TNF-α (-376 G/A) Polymorphism and Cystatin C (CysC) in the Diagnosis of Sepsis Associated Acute Kidney Injury (S-AK I) and Prediction of Mortality in Critically Ill patients.Frontiers in molecular biosciences · 2021Article
- Dysbiosis of intestinal microbiota in critically ill patients and risk of in-hospital mortality.American journal of translational research · 2021Article
- The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study.BMC nephrology · 2020Observational
Corrections and comments
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Authors and funding
16 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough serum cystatin C (sCysC), urinary N-acetyl-β-D-glucosaminidase (uNAG), and urinary albumin/creatinine ratio (uACR) are clinically available, their optimal combination for acute kidney injury (AKI) detection and prognosis prediction remains unclear. We aimed to assess the discriminative abilities of these biomarkers and their possible combinations for AKI detection and intensive care unit (ICU) mortality prediction in critically ill adults.
methodsA multicenter, prospective observational study was conducted in mixed medical-surgical ICUs at three tertiary care hospitals. One thousand eighty-four adult critically ill patients admitted to the ICUs were studied. We assessed the use of individual biomarkers (sCysC, uNAG, and uACR) measured at ICU admission and their combinations with regard to AKI detection and prognosis prediction.
resultsAUC-ROCs for sCysC, uNAG, and uACR were calculated for total AKI (0.738, 0.650, and 0.683, respectively), severe AKI (0.839, 0.706, and 0.771, respectively), and ICU mortality (0.727, 0.793, and 0.777, respectively). The panel of sCysC plus uNAG detected total and severe AKI with significantly higher accuracy than either individual biomarkers or the other two panels (uNAG plus uACR or sCysC plus uACR). For detecting total AKI, severe AKI, and ICU mortality at ICU admission, this panel yielded AUC-ROCs of 0.756, 0.863, and 0.811, respectively; positive predictive values of 0.71, 0.31, and 0.17, respectively; and negative predictive values of 0.81, 0.97, and 0.98, respectively. Moreover, this panel significantly contributed to the accuracy of the clinical models for AKI detection and ICU mortality prediction, as measured by the AUC-ROC, continuous net reclassification index, and incremental discrimination improvement index. The comparable performance of this panel was further confirmed with bootstrap internal validation.
conclusionsThe combination of a functional marker (sCysC) and a tubular damage marker (uNAG) revealed significantly superior discriminative performance for AKI detection and yielded additional prognostic information on ICU mortality.
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