ArticleJournal of intensive care2025
Association between the triglyceride-glucose index and the risk of acute kidney injury in critically ill patients with acute pancreatitis: a retrospective study.
Article in Journal of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk prediction models for acute kidney injury in patients with acute pancreatitis: a systematic review.BMC gastroenterology · 2026Pooled it
- Association between triglyceride glucose index and risk of acute kidney injury in critically ill patients: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study.PLOS digital health · 2026Article
- Triglyceride-Glucose Index and Acute Kidney Injury: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2026Review
- Impact of diabetes mellitus and glucose level control on early sepsis-associated acute kidney injury: a multicenter retrospective observational study.Frontiers in medicine · 2026Article
- Elevated triglyceride-glucose index and acute kidney injury risk in critical atrial fibrillation: an analysis from MIMIC-IV.BMC cardiovascular disorders · 2025Article
- Interpretable machine learning for early prediction of acute kidney injury in critically ill patients with acute pancreatitis.Digital healthArticle
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9 authors.
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Abstract
backgroundThe triglyceride-glucose (TyG) index is increasingly recognized for its ability to predict cardiovascular and metabolic risks. This study investigated the correlation between the TyG index and the risk of acute kidney injury(AKI) in critical ill patients with acute pancreatitis(AP).
methodsThe Medical Information Mart for Intensive Care IV database was retrospectively searched to identify AP patients hospitalized in the intensive care unit. The primary outcome measure was the incidence of AKI. The secondary endpoint was in-hospital mortality and the rate of renal replacement therapy(RRT) use. Cox regression analysis and restricted cubic spline were used to analyze TyG index association with AKI risk. Kaplan-Meier survival analysis was performed to assess the incidence of endpoints in the different groups.
resultsA total of 848 patients were enrolled. The incidence of AKI was 61.56%.The in-hospital mortality was 11.69%. Kaplan-Meier analysis showed that the TyG index ≥ 8.78 group has a high incidence of AKI and high risk of requiring RRT (P < 0.001). Multivariable Cox regression analysis showed whether TyG index was a continuous variable (HR, 1.65 [95% CI 1.10-2.48], P = 0.015) or a categorical variable (HR, 1.72 [95% CI 1.09-2.79], P = 0.028), and the TyG index was independently associated with the risk of AKI in AP patients. The restricted cubic splines model illustrated the linear relationship between higher TyG index and increased risk of AKI in this specific patient population.
conclusionsHigh TyG index is an independent risk factor for AKI in critical ill patients with AP. Assessing the TyG index may be beneficial for early stratification and interventions to improve prognosis.
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