A Nomogram Model for Prediction of Mortality Risk of Patients with Dangerous Upper Gastrointestinal Bleeding: A Two-center Retrospective Study.

Objective: This study aimed to establish a nomogram model to predict the mortality risk of patients with dangerous upper gastrointestinal bleeding (DUGIB), and identify high-risk patients who require emergent therapy.

Methods: From January 2020 to April 2022, the clinical data of 256 DUGIB patients who received treatments in the intensive care unit (ICU) were retrospectively collected from Renmin Hospital of Wuhan University (n=179) and the Eastern Campus of Renmin Hospital of Wuhan University (n=77). The 179 patients were treated as the training cohort, and 77 patients as the validation cohort.

A Nomogram Model for Predicting Type-2 Myocardial Infarction Induced by Acute Upper Gastrointestinal Bleeding.

Objective: To examine the independent risk factors of type-2 myocardial infarction (T2MI) elicited by acute upper gastrointestinal bleeding (AUGIB), and to establish a nomogram model for the prediction of AUGIB-induced T2MI.

Methods: A nomogram model was established on the basis of a retrospective study that involved 533 patients who suffered from AUGIB in the Department of Critical Care Medicine (CCM) or Emergency Intensive Care Unit (EICU) of Renmin Hospital of Wuhan University, Wuhan, China, from January 2017 to December 2020. The predictive accuracy and discriminative power of the nomogram were initially evaluated by internal validation, which involved drawing the receiver operating characteristic (ROC) curve, calculating the area under the curve (AUC), plotting the calibration curve derived from 1000 resampled bootstrap data sets, and computing the root mean square error (RMSE).