Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network

Introduction: We aimed to create and validate the 30-day prognostic score for mortality in patients with surgical wound infection (SWICS-30) after cardiothoracic surgery. Methods: This retrospective study enrolled patients with surgical wound infection following cardiothoracic surgery admitted to a...

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Bibliographic Details
Main Authors:	Julio Alejandro Cedeno, Tania Mara Varejão Strabelli, Bruno Adler Maccagnan Pinheiro Besen, Rafael de Freitas Souza, Denise Blini Sierra, Leticia Rodrigues Goulart de Souza, Samuel Terra Gallafrio, Cely Saad Abboud, Diego Feriani, Rinaldo Focaccia Siciliano
Format:	Article
Language:	English
Published:	Elsevier 2025-03-01
Series:	Brazilian Journal of Infectious Diseases
Subjects:	Wound infection Cardiac surgery Thoracic surgery Mortality registries Neural network model
Online Access:	http://www.sciencedirect.com/science/article/pii/S1413867025000133
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Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network

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