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Development and external validation of a metabolic-clinical XGBoost model for mortality prediction in acute pancreatitis: a dual-cohort study with DM-stratified confounding control A TRIPOD+AI-compliant prediction model study

2026-08-28

Abstract excerpt

<title>Abstract</title> <p>Background Current clinical scores for acute pancreatitis (AP) mortality prediction-the Bedside Index for Severity in Acute Pancreatitis (BISAP) and the Sequential Organ Failure Assessment (SOFA)-lack metabolic integration and fail to distinguish chronic hyperglycemia from acute glycemic stress. We aimed to develop and externally validate an explainable XGBoost model integrating dynami...

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Literature Corpus work
661a477e-4432-5ddb-a01f-3a9ce00572f5
DOI
10.21203/rs.3.rs-10464724/v1
Open publication

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Development and external validation of a metabolic-clinical XGBoost model for mortality prediction in acute pancreatitis: a dual-cohort study with DM-stratified confounding control A TRIPOD+AI-compliant prediction model studyDOI 10.21203/rs.3.rs-10464724/v1
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