ArticleCritical care medicine2015
A Multibiomarker-Based Model for Estimating the Risk of Septic Acute Kidney Injury.
Article in Critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Renal Dysfunction Criteria in Critically Ill Children: The PODIUM Consensus Conference.Pediatrics · 2022Pooled it
- External Validation, Molecular Signatures, and Therapeutic Relevance of Pediatric Sepsis-Associated Acute Kidney Injury Subphenotypes.Critical care medicine · 2026Observational
- Multiple Organ Dysfunction Interactions in Critically Ill Children.Frontiers in pediatrics · 2022Article
- Clinical phenotypes of acute kidney injury are associated with unique outcomes in critically ill septic children.Pediatric research · 2021Observational
- The application of omic technologies to research in sepsis-associated acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2021Review
- OLFM4 Regulates Lung Epithelial Cell Function in Sepsis-Associated ARDS/ALI via LDHA-Mediated NF-κB Signaling.Journal of inflammation research · 2021Article
- A Precision Medicine Approach to Biomarker Utilization in Pediatric Sepsis-Associated Acute Kidney Injury.Frontiers in pediatrics · 2021Review
- Endothelial dysfunction is an early indicator of sepsis and neutrophil degranulation of septic shock in surgical patients.BJS open · 2020Article
- The Integration of qSOFA with Clinical Variables and Serum Biomarkers Improves the Prognostic Value of qSOFA Alone in Patients with Suspected or Confirmed Sepsis at ED Admission.Journal of clinical medicine · 2020Article
- Two subphenotypes of septic acute kidney injury are associated with different 90-day mortality and renal recovery.Critical care (London, England) · 2020Article
- Prognostic and predictive enrichment in sepsis.Nature reviews. Nephrology · 2020Review
- Sepsis Biomarkers.Journal of pediatric intensive care · 2019Review
- Proteinase 3; a potential target in chronic obstructive pulmonary disease and other chronic inflammatory diseases.Respiratory research · 2018Review
- A Two-Biomarker Model Predicts Mortality in the Critically Ill with Sepsis.American journal of respiratory and critical care medicine · 2017Article
- Olfactomedin-4 Is a Candidate Marker for a Pathogenic Neutrophil Subset in Septic Shock.Critical care medicine · 2017Article
- Monitoring Severity of Multiple Organ Dysfunction Syndrome: New Technologies.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017Review
- Decreased Tissue COX5B Expression and Mitochondrial Dysfunction during Sepsis-Induced Kidney Injury in Rats.Oxidative medicine and cellular longevity · 2017Article
- 2016 Update for the Rogers' Textbook of Pediatric Intensive Care: Recognition and Initial Management of Shock.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2016Review
- Urinary Tissue Inhibitor of Metalloproteinase-2 and Insulin-Like Growth Factor-Binding Protein 7 for Risk Stratification of Acute Kidney Injury in Patients With Sepsis.Critical care medicine · 2016Article
- Could Biomarkers Direct Therapy for the Septic Patient?The Journal of pharmacology and experimental therapeutics · 2016Review
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25 authors.
Funding
Abstract
objectiveThe development of acute kidney injury in patients with sepsis is associated with worse outcomes. Identifying those at risk for septic acute kidney injury could help to inform clinical decision making. We derived and tested a multibiomarker-based model to estimate the risk of septic acute kidney injury in children with septic shock.
designCandidate serum protein septic acute kidney injury biomarkers were identified from previous transcriptomic studies. Model derivation involved measuring these biomarkers in serum samples from 241 subjects with septic shock obtained during the first 24 hours of admission and then using a Classification and Regression Tree approach to estimate the probability of septic acute kidney injury 3 days after the onset of septic shock, defined as at least two-fold increase from baseline serum creatinine. The model was then tested in a separate cohort of 200 subjects.
settingMultiple PICUs in the United States.
interventionsNone other than standard care. MEASUREMENTS AND MAIN
resultsThe decision tree included a first-level decision node based on day 1 septic acute kidney injury status and five subsequent biomarker-based decision nodes. The area under the curve for the tree was 0.95 (CI95, 0.91-0.99), with a sensitivity of 93% and a specificity of 88%. The tree was superior to day 1 septic acute kidney injury status alone for estimating day 3 septic acute kidney injury risk. In the test cohort, the tree had an area under the curve of 0.83 (0.72-0.95), with a sensitivity of 85% and a specificity of 77% and was also superior to day 1 septic acute kidney injury status alone for estimating day 3 septic acute kidney injury risk.
conclusionsWe have derived and tested a model to estimate the risk of septic acute kidney injury on day 3 of septic shock using a novel panel of biomarkers. The model had very good performance in a test cohort and has test characteristics supporting clinical utility and further prospective evaluation.
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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.