Construction and validation of a nomogram prediction model for the progression to septic shock in elderly patients with urosepsis.

ABSTRACT:

Background

Septic shock is a clinical syndrome characterized by the progression of sepsis to a severe stage. Elderly patients with urosepsis in the intensive care unit (ICU) are more likely to progress to septic shock. This study aimed to establish and validate a nomogram model for predicting the risk of progression to septic shock in elderly patients with urosepsis.

Methods

We extracted data from the Medical Information Mart for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). The MIMIC-IV dataset was split into a training set for model development and an internal validation set to assess model performance. Further external validation was performed using a distinct dataset sourced from the eICU-CRD. Predictors were screened using least abso

SUBMITTER: Wei J 

PROVIDER: S-EPMC11219351 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature