ArticleRenal failure2025
Development and validation of a risk prediction model for acute kidney injury in patients with malignant obstructive jaundice: a retrospective matched cohort study.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Acute kidney injury (AKI) is a common and serious complication in patients with malignant obstructive jaundice (MOJ), yet no predictive model exists for this specific population. This retrospective study included 557 hospitalized MOJ patients, with 103 developing AKI. Propensity score matching was used to control confounding, and 103 matched pairs were analyzed. Least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were used to develop the prediction model. Model performance was evaluated using the area under the curve (AUC), concordance index, Brier score, calibration curve, decision curve analysis, and clinical impact curve. Seven variables were included in the final model: neutrophil-to-lymphocyte ratio (NLR), C-reactive protein (CRP), uric acid (UA), total bilirubin (TBil), potassium (K), carbon dioxide combining power (CO
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