Cargando…
Cluster analysis integrating age and body temperature for mortality in patients with sepsis: a multicenter retrospective study
It is not clear whether mortality is associated with body temperature (BT) in older sepsis patients. This study aimed to evaluate the mortality rates in sepsis patients according to age and BT and identify the risk factors for mortality. We investigated the clusters using a machine learning method b...
Autores principales: | Baek, Moon Seong, Kim, Jong Ho, Kwon, Young Suk |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776751/ https://www.ncbi.nlm.nih.gov/pubmed/35058521 http://dx.doi.org/10.1038/s41598-022-05088-z |
Ejemplares similares
-
Neuromuscular blockade in mechanically ventilated pneumonia patients with moderate to severe hypoxemia: A multicenter retrospective study
por: Baek, Moon Seong, et al.
Publicado: (2022) -
Development and Validation of a Quick Sepsis-Related Organ Failure Assessment-Based Machine-Learning Model for Mortality Prediction in Patients with Suspected Infection in the Emergency Department
por: Kwon, Young Suk, et al.
Publicado: (2020) -
Machine Learning Models to Predict 30-Day Mortality in Mechanically Ventilated Patients
por: Kim, Jong Ho, et al.
Publicado: (2021) -
Predictive Modeling and Integrated Risk Assessment of Postoperative Mortality and Pneumonia in Traumatic Brain Injury Patients through Clustering and Machine Learning: Retrospective Study
por: Kim, Jong-Ho, et al.
Publicado: (2023) -
Reappraisal of sepsis-3 and CLIF-SOFA as predictors of mortality in patients with cirrhosis and infection presenting to the emergency department: A multicenter study
por: Kim, Ji Hyun, et al.
Publicado: (2022)