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Exploring the risk factors of early sepsis after liver transplantation: development of a novel predictive model
- Source :
- Frontiers in Medicine, Vol 10 (2023)
- Publication Year :
- 2023
- Publisher :
- Frontiers Media S.A., 2023.
-
Abstract
- BackgroundSepsis is a severe and common complication of liver transplantation (LT) with a high risk of mortality. However, effective tools for evaluating its risk factors are lacking. Therefore, this study identified the risk factors of early post-liver transplantation sepsis and established a nomogram.MethodsWe analyzed the risk factors of post-liver transplantation sepsis in 195 patients. Patients with infection and a systemic inflammatory response syndrome (SIRS) score ≥ 2 were diagnosed with sepsis. The predictive indicators were screened with the least absolute shrinkage and selection operator (LASSO) and collinearity analyses to develop a nomogram. The prediction performance of the new nomogram model, Sequential Organ Failure Assessment (SOFA) score, and Modified Early Warning Score (MEWS) was compared through assessment of the area under the curve (AUC), decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI).ResultsThe nomogram was based on postoperative heart rate, creatinine concentration, PaO2/FiO2 ratio
- Subjects :
- sepsis
liver
transplantation
risk factors
predictive model
Medicine (General)
R5-920
Subjects
Details
- Language :
- English
- ISSN :
- 2296858X
- Volume :
- 10
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Medicine
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.38e9bdde6bc4b11a6338c44b43f23ef
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fmed.2023.1274961