The nomogram was then constructed and validated. Results: Nine independent prognostic factors were identified by using LASSO and stepwise regressions: age, Elixhauser score, anion gap, sodium, albumin, bilirubin, international normalized ratio, vasopressor use, and bleeding. Multiple indicators were used to validate the nomogram, including the area under the receiver operating characteristic curve (AUC), calibration curve, Hosmer-Lemeshow test, integrated discrimination improvement (IDI), net reclassification index (NRI), and decision curve analysis (DCA). We then constructed a nomogram to predict the in-hospital death of LCEV patients. The independent prognostic factors for LCEV patients were determined using the least absolute shrinkage and selection operator (LASSO) method and forward stepwise logistic regression. Training cohort was used for establishing the model, validation and MIMIC-IV cohorts were used for validation. The patients from MIMIC-III were randomly divided into training and validation cohorts. Methods: Data on LCEV patients were extracted from the Medical Information Mart for Intensive Care III and IV (MIMIC-III and MIMIC-IV) database.
We aimed to establish and validate a nomogram for predicting in-hospital death in LCEV patients. Despite the development of various treatments, the prognosis for liver cirrhosis with esophageal varices (LCEV) remains poor. Esophageal varices is a common and serious complication of liver cirrhosis during decompensation.
Introduction: Liver cirrhosis is caused by the development of various acute and chronic liver diseases.
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