ArticleBMC pediatrics2018
Serum and urine FGF23 and IGFBP-7 for the prediction of acute kidney injury in critically ill children.
Article in BMC pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Diagnostic and prognostic value of fibroblast growth factor 23 in acute kidney injury: systematic review and meta-analysis.Renal failure · 2026Pooled it
- Novel biomarkers for acute kidney injury in high-risk pediatric populations: a systematic review.Renal failure · 2026Pooled it
- Serum fibroblast growth factor 23 and kidney injury molecule-1 in the prediction of acute kidney injury in critically-ill patients.Renal failure · 2025Article
- Urinary TIMP-2*IGFBP-7 to diagnose acute kidney injury in children receiving cisplatin.Pediatric nephrology (Berlin, Germany) · 2024Article
- Research progress of fibroblast growth factor 23 in acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2023Review
- Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children.Journal of translational medicine · 2022Article
- Current Concepts of Pediatric Acute Kidney Injury-Are We Ready to Translate Them into Everyday Practice?Journal of clinical medicine · 2021Review
- The Roles of Insulin-Like Growth Factor Binding Protein Family in Development and Diseases.Advances in therapy · 2021Review
- Insulin-Like Growth Factor Binding Proteins in Kidney Disease.Frontiers in pharmacology · 2021Review
- The effectiveness of urinary TIMP-2 and IGFBP-7 in predicting acute kidney injury in critically ill neonates.Pediatric research · 2020Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFibroblast growth factor 23 (FGF23) and insulin-like growth factor binding protein 7 (IGFBP-7) are suggested to be biomarkers for predicting acute kidney injury (AKI). We compared them with proposed AKI biomarker of cystatin C (CysC), and aimed (1) to examine whether concentrations of these biomarkers vary with age, body weight, illness severity assessed by pediatric risk of mortality III score, and kidney function assessed by estimated glomerular filtration rate (eGFR), (2) to determine the association between these biomarkers and AKI, and (3) to evaluate whether these biomarkers could serve as early independent predictors of AKI in critically ill children.
methodsThis prospective single center study included 144 critically ill patients admitted to the pediatric intensive care unit (PICU) regardless of diagnosis. Serum and spot urine samples were collected during the first 24 h after PICU admission. AKI was diagnosed based on the AKI network (AKIN) criteria.
resultsTwenty-one patients developed AKI within 120 h of sample collection, including 11 with severe AKI defined as AKIN stages 2 and 3. Serum FGF23 levels were independently associated with eGFR after adjustment in a multivariate linear analysis (P < 0.001). Urinary IGFBP-7 (Adjusted OR = 2.94 per 1000 ng/mg increase, P = 0.035), serum CysC (Adjusted OR = 5.28, P = 0.005), and urinary CysC (Adjusted OR = 1.13 per 1000 ng/mg increase, P = 0.022) remained significantly associated with severe AKI after adjustment for body weight and illness severity, respectively. Urinary IGFBP-7 level was predictive of severe AKI and achieved the AUC of 0.79 (P = 0.001), but was not better than serum (AUC = 0.89, P < 0.001) and urinary (AUC = 0.88, P < 0.001) CysC in predicting severe AKI.
conclusionsSerum FGF23 levels were inversely related to measures of eGFR. In contrast to serum and urinary FGF23 which are not associated with AKI in a general and heterogeneous PICU population, an increased urinary IGFBP-7 level was independently associated with the increased risk of severe AKI diagnosed within the next 5 days after sampling, but not superior to serum or urinary CysC in predicting severe AKI in critically ill children.
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