ArticleAnnals of medicine2023
Development of a nomogram for the prediction of acute kidney injury after liver transplantation: a model based on clinical parameters and postoperative cystatin C level.
Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Frequency of acute kidney injury in post-liver transplantation and associated factors: a systematic review.Jornal brasileiro de nefrologiaPooled it
- Machine learning-based nomogram for acute kidney injury after liver transplantation.Renal failure · 2026Article
- Risk prediction of continuous renal replacement therapy in patients with acute kidney injury after lung transplantation.Journal of intensive medicine · 2026Article
- Establishing a clinical tool to predict acute kidney injury in pulmonary tuberculosis: insights from a large-scale retrospective study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Can Intraoperative Anesthesiological Management Reduce the Risk of Acute Kidney Injury After Liver Transplantation? A Systematic Review.Journal of clinical medicine · 2026Review
- Intraoperative allogeneic blood transfusion is not associated with postoperative acute kidney injury and in-hospital mortality in liver transplantation patients: a propensity score matching analysis.Frontiers in medicine · 2026Article
- A machine learning predictive model for acute kidney injury among aneurysmal subarachnoid hemorrhage patients.BMC medical informatics and decision making · 2025Article
- Transparent AI-driven personalized risk prediction system for acute kidney injury after total hip arthroplasty.Scientific reports · 2025Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute kidney injury (AKI) is common after liver transplantation (LT). We developed a nomogram model to predict post-LT AKI.
methodsA total of 120 patients were eligible for inclusion in the study. Clinical information was extracted from the institutional electronic medical record system. Blood samples were collected prior to surgery and immediately after surgery. Univariable and multivariate logistic regression were used to identify independent risk factors. Finally, a nomogram was developed based on the final multivariable logistic regression model.
resultsIn total, 58 (48.3%) patients developed AKI. Multivariable logistic regression revealed four independent risk factors for post-LT AKI: operation duration [odds ratio (OR) = 1.728, 95% confidence interval (CI) = 1.121-2.663,
conclusionThe model based on combinations of clinical parameters and postoperative cystatin C levels had a higher predictive performance for post-LT AKI than the model based on clinical parameters or postoperative cystatin C level alone. Additionally, we developed an easy-to-use nomogram based on the final model, which could aid in the early detection of AKI and improve the prognosis of patients after LT.
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