Clinical Phenotyping for Prognosis and Immunotherapy Guidance in Bacterial Sepsis and COVID-19.

Eleni KarakikeSimeon MetallidisGaryfallia PoulakouMaria KosmidouNikolaos K GatselisVasileios PetrakisNikoletta RovinaEleni GkekaStyliani SympardiIlias PapanikolaouIoannis KoutsodimitropoulosVasiliki TzavaraGeorgios AdamisKonstantinos TsiakosVasilios KoulourasEleni MouloudiEleni AntoniadouGykeria VlachogianniSouzana AnisoglouNikolaos MarkouAntonia KoutsoukouPeriklis PanagopoulosHaralampos MilionisGeorge N DalekosMiltiades KyprianouEvangelos J Giamarellos-Bourboulis

Published in: Critical care explorations (2024)

A simplified algorithm successfully identified previously derived phenotypes of bacterial sepsis, which were predictive of outcome. This classification may apply to patients with severe COVID-19 with prognostic implications.

Keyphrases

coronavirus disease
sars cov
machine learning
deep learning
septic shock
acute kidney injury
intensive care unit
early onset
respiratory syndrome coronavirus