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ABSTRACT: Objective
This study aimed to develop and validate a nomogram to predict the risk of sepsis in non-traumatic subarachnoid hemorrhage (SAH) patients using data from the MIMIC-IV database.Methods
A total of 803 SAH patients meeting the inclusion criteria were randomly divided into a training set (563 cases) and a validation set (240 cases). Independent prognostic factors were identified through forward stepwise logistic regression, and a nomogram was created based on these factors. The discriminative ability of the nomogram was assessed using the area under the receiver operating characteristic curve (AUC) and compared with the SOFA score. The model's consistency was evaluated using the C-index, and the improvement in performance over the SOFA score was calculated using integ
SUBMITTER: Yu L
PROVIDER: S-EPMC11756775 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature