Early Biomarker Signatures in Surgical Sepsis

INTRODUCTION: Sepsis has complex, time-sensitive pathophysiology and important phenotypic subgroups. The objective of this study was to use machine learning analyses of blood and urine biomarker profiles to elucidate the pathophysiologic signatures of subgroups of surgical sepsis patients. METHODS:...

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Detalles Bibliográficos
Autores principales: Madushani, R.W.M.A., Patel, Vishal, Loftus, Tyler, Ren, Yuanfang, Li, Han Jacob, Velez, Laura, Wu, Quran, Adhikari, Lasith, Efron, Philip, Segal, Mark, Ozrazgat-Baslanti, Tezcan, Rashidi, Parisa, Bihorac, Azra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827429/
https://www.ncbi.nlm.nih.gov/pubmed/35569215
http://dx.doi.org/10.1016/j.jss.2022.04.052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827429/
https://www.ncbi.nlm.nih.gov/pubmed/35569215
http://dx.doi.org/10.1016/j.jss.2022.04.052

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