ArticleBMC nephrology2020
Combination of biomarker with clinical risk factors for prediction of severe acute kidney injury in critically ill patients.
Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Urinary biomarkers IGFBP7 and TIMP-2 in the ICU: a multicenter prospective study on acute kidney injury outcomes.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
- Lactate and lactylation in the kidneys: Current advances and prospects (Review).International journal of molecular medicine · 2025Review
- Steering Away from Current Amoxicillin Dose Reductions in Hospitalized Patients with Impaired Kidney Function to Avoid Subtherapeutic Drug Exposure.Antibiotics (Basel, Switzerland) · 2022Article
- Prognostic Value of Systemic Immune-Inflammation Index among Critically Ill Patients with Acute Kidney Injury: A Retrospective Cohort Study.Journal of clinical medicine · 2022Article
- The Combination of SOFA Score and Urinary NGAL May Be an Effective Predictor for Ventilator Dependence among Critically Ill Surgical Patients: A Pilot Study.Diagnostics (Basel, Switzerland) · 2021Article
- Predictive Ability of Procalcitonin for Acute Kidney Injury: A Narrative Review Focusing on the Interference of Infection.International journal of molecular sciences · 2021Review
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundAcute kidney injury (AKI) occurs commonly in the intensive care unit (ICU). Insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinase-2 (TIMP-2), known as [TIMP-2] x [IGFBP7] (NephroCheck), have been identified as novel biomarkers for the prediction of AKI risk. However, the effective use of disease biomarkers is indispensable from an appropriate clinical context. We conducted a retrospective cohort study to find risk factors and assess the performance of the combination of NephroCheck with risk factors, so as to provide feasible information for AKI prediction.
methodsAll patients who were admitted in the ICU (from June 2016 to July 2017) participated in the study. The primary outcome was the detection of severe AKI within the first 7 days after patients being admitted to the ICU. The predictors were separated into three categories: chronic risk factors, acute risk factors and biochemical indicators.
resultsThe study included 577 patients. 96 patients developed to severe AKI (16.6%) within 7 days. In addition to NephroCheck (+) (OR = 2.139, 95% CI (1.260-3.630), P = 0.005), age > 65 years (OR = 1.961, 95% CI (1.153-3.336), P = 0.013), CKD (OR = 2.573, 95% CI (1.319-5.018), P = 0.006) and PCT (+)(OR = 3.223, 95% CI (1.643-6.321), P = 0.001) were also the independent predictors of severe AKI within 7 days. Compared to NephroCheck (+) only (AUC = 0.66, 95% CI:0.60-0.72), the combination of NephroCheck (+) and risk factors (age > 65 years, CKD and PCT positive) (AUC = 0.75, 95% CI:0.70-0.81) led to a significant increase in the area under ROC curve for severe AKI prediction within 7 days.
conclusionsAlthough NephroCheck is an effective screening tool for recognizing high-risk patients, we found that combination with biomarker and risk factors (age > 65 years, CKD, procalcitonin positive) for risk assessment of AKI has the greatest significance to patients with uncertain disease trajectories.
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