ArticleBMC nephrology2021
A novel risk-predicted nomogram for sepsis associated-acute kidney injury among critically ill patients.
Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction models for sepsis-associated acute kidney injury: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- A nomogram to predict hyperkalemia in patients with hemodialysis: a retrospective cohort study.BMC nephrology · 2022Trial
- Risk factors and nomogram prediction model for prognosis in sepsis with acute kidney injury.BMC nephrology · 2026Article
- Early recognition of sepsis-associated acute kidney injury based on BioBERT-BPNN multimodal clinical data analysis.PloS one · 2026Article
- Association between hemoglobin/red blood cell distribution width ratio and acute kidney injury in sepsis and heart failure patients.PloS one · 2026Article
- Citronellol Reduces Sepsis-Induced Renal Inflammation via AP-1/NF-κB/TNF-α Pathway.Biomolecules · 2025Article
- L-carvone alleviates lipopolysaccharide-Induced acute kidney injury via modulating MyD88-dependent and independent signaling pathways in Mice.Molecular biology reports · 2025Article
- Transparent AI-driven personalized risk prediction system for acute kidney injury after total hip arthroplasty.Scientific reports · 2025Article
- Research Progress on Signalling Pathways Related to Sepsis-Associated Acute Kidney Injury in Children.Current issues in molecular biology · 2025Review
- A novel risk-predicted nomogram for acute kidney injury progression in decompensated cirrhosis: a double-center study in Vietnam.International urology and nephrology · 2025Article
- A study on the factors influencing mortality risk in sepsis-induced acute kidney injury based on analysis of the MIMIC database.Clinical and experimental medicine · 2025Article
- Prevalence & risk factors of multi-morbidity in critically ill patients with sepsis-associated acute kidney injury (SA-AKI).The Indian journal of medical research · 2025Article
- Development and validation of a nomogram for predicting acute kidney injury risks in patients undergoing acute stanford type A aortic dissection repair surgery.BMC nephrology · 2025Article
- Article
- AKI prediction model in acute aortic dissection surgery: nomogram development and validation.Frontiers in medicine · 2025Article
- Development and external validation of a nomogram for the early prediction of acute kidney injury in septic patients: a multicenter retrospective clinical study.Renal failure · 2024Article
- Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review.Renal failure · 2024Article
- Sepsis-Associated Acute Kidney Injury in Critically Ill Children: Incidence and Outcomes.Journal of clinical medicine · 2024Article
- Article
- A clinical risk score for predicting acute kidney injury in sepsis patients receiving normal saline in Northern Thailand: a retrospective cohort study.Acute and critical care · 2024Article
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5 authors.
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Abstract
backgroundAcute kidney injury (AKI) is a prevalent and severe complication of sepsis contributing to high morbidity and mortality among critically ill patients. In this retrospective study, we develop a novel risk-predicted nomogram of sepsis associated-AKI (SA-AKI).
methodsA total of 2,871 patients from the Medical Information Mart for Intensive Care III (MIMIC-III) critical care database were randomly assigned to primary (2,012 patients) and validation (859 patients) cohorts. A risk-predicted nomogram for SA-AKI was developed through multivariate logistic regression analysis in the primary cohort while the nomogram was evaluated in the validation cohort. Nomogram discrimination and calibration were assessed using C-index and calibration curves in the primary and external validation cohorts. The clinical utility of the final nomogram was evaluated using decision curve analysis.
resultsRisk predictors included in the prediction nomogram included length of stay in intensive care unit (LOS in ICU), baseline serum creatinine (SCr), glucose, anemia, and vasoactive drugs. Nomogram revealed moderate discrimination and calibration in estimating the risk of SA-AKI, with an unadjusted C-index of 0.752, 95 %Cl (0.730-0.774), and a bootstrap-corrected C index of 0.749. Application of the nomogram in the validation cohort provided moderate discrimination (C-index, 0.757 [95 % CI, 0.724-0.790]) and good calibration. Besides, the decision curve analysis (DCA) confirmed the clinical usefulness of the nomogram.
conclusionsThis study developed and validated an AKI risk prediction nomogram applied to critically ill patients with sepsis, which may help identify reasonable risk judgments and treatment strategies to a certain extent. Nevertheless, further verification using external data is essential to enhance its applicability in clinical practice.
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