ArticleScientific reports2018
Acute Kidney Injury in Trauma Patients Admitted to Critical Care: Development and Validation of a Diagnostic Prediction Model.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Characterization of Risk Prediction Models for Acute Kidney Injury: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Acute kidney injury in trauma patients admitted to the ICU: a systematic review and meta-analysis.Intensive care medicine · 2019Pooled it
- Predicting Acute Kidney Injury with Nephrotoxic Burden in Noncritical Patients: An Internal and External Validation Study.Kidney360 · 2026Article
- Bimodal distribution of trauma-related acute kidney injury (TrAKI): A clinical review.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2026Review
- CX-01 mitigates trauma-induced acute kidney injury and improves survival in a combat-relevant polytrauma rat model.Frontiers in pharmacology · 2026Article
- Development of a risk calculator for acute kidney injury in trauma patients: an experimental study.Trauma surgery & acute care open · 2026Article
- Prediction of severe sepsis-associated acute kidney injury incorporating immune-inflammatory profiles: development and validation of a machine learning model in a multicenter prospective cohort study.Frontiers in immunology · 2026Article
- Kidneys on the Frontline: Nephrologists Tackling the Wilds of Acute Kidney Injury in Trauma Patients-From Pathophysiology to Early Biomarkers.Diagnostics (Basel, Switzerland) · 2025Review
- Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI.Clinical journal of the American Society of Nephrology : CJASN · 2025Article
- Predicting acute kidney injury in trauma using an extreme gradient boosting model.Clinical kidney journal · 2025Article
- Development and validation of a nomogram for predicting in-hospital mortality in patients with nonhip femoral fractures.European journal of medical research · 2023Article
- Article
- Risk Factors and Outcomes of Post-traumatic Acute Kidney Injury Requiring Renal Replacement Therapy: A Case-Control Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023Article
- Generalizability of an acute kidney injury prediction model across health systems.Nature machine intelligence · 2022Article
- High incidence of acute kidney injury among patients with major trauma at Mulago National Referral Hospital, Uganda: risk factors and overall survival.African health sciences · 2022Article
- A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study.JMIR medical informatics · 2022Article
- The Clinical Impact of Platelets on Post-Injury Serum Creatinine Concentration in Multiple Trauma Patients: A Retrospective Cohort Study.Medicina (Kaunas, Lithuania) · 2022Article
- Admission serum myoglobin and the development of acute kidney injury after major trauma.Annals of intensive care · 2021Article
- Prevalence and risk factors of acute kidney injury in polytrauma patients at Muhimbili Orthopedic Institute, Tanzania.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2021Article
- Importance of duration of acute kidney injury after severe trauma: a cohort study.Trauma surgery & acute care open · 2021Article
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11 authors.
Funding
Abstract
Acute Kidney Injury (AKI) complicating major trauma is associated with increased mortality and morbidity. Traumatic AKI has specific risk factors and predictable time-course facilitating diagnostic modelling. In a single centre, retrospective observational study we developed risk prediction models for AKI after trauma based on data around intensive care admission. Models predicting AKI were developed using data from 830 patients, using data reduction followed by logistic regression, and were independently validated in a further 564 patients. AKI occurred in 163/830 (19.6%) with 42 (5.1%) receiving renal replacement therapy (RRT). First serum creatinine and phosphate, units of blood transfused in first 24 h, age and Charlson score discriminated need for RRT and AKI early after trauma. For RRT c-statistics were good to excellent: development: 0.92 (0.88-0.96), validation: 0.91 (0.86-0.97). Modelling AKI stage 2-3, c-statistics were also good, development: 0.81 (0.75-0.88) and validation: 0.83 (0.74-0.92). The model predicting AKI stage 1-3 performed moderately, development: c-statistic 0.77 (0.72-0.81), validation: 0.70 (0.64-0.77). Despite good discrimination of need for RRT, positive predictive values (PPV) at the optimal cut-off were only 23.0% (13.7-42.7) in development. However, PPV for the alternative endpoint of RRT and/or death improved to 41.2% (34.8-48.1) highlighting death as a clinically relevant endpoint to RRT.
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