Predictive models of patient severity in intensive care units based on serum cytokine profiles - study 1

Name: Predictive models of patient severity in intensive care units based on serum cytokine profiles - study 1
Creator: Cristiana Von Rekowski
Published: 2024-05-24T20:05:48.780Z
Keywords: Mass Spectrometry, Proteomics, Cytokines, Intensive Care Unit, Mortality, Prognosis, Invasive Ventilation, Biomarker in Prognosis, COVID-19

Von Rekowski, Cristiana; Fonseca, Tiago; Araújo, Rúben; Martins, Ana; Oliveira, Conceição; Justino, Gonçalo; Bento, Luís; Calado, Cecília

doi:10.17632/xd9g443btr.1

Predictive models of patient severity in intensive care units based on serum cytokine profiles - study 1

Published: 24 May 2024| Version 1 | DOI: 10.17632/xd9g443btr.1

Contributors:

,

, Gonçalo Justino,

,

Description

Untargeted bottom-up serum proteomics study. Raw data for manuscript "Predictive models of patient severity in intensive care units based on serum cytokine profiles" (in press).

Files

Steps to reproduce

Raw data from article "Predictive models of patient severity in intensive care units based on serum cytokine profiles", in press.

Institutions

Universidade de Lisboa Centro de Quimica Estrutural, Instituto Politecnico de Lisboa Instituto Superior de Engenharia de Lisboa, Universidade de Lisboa Instituto de Bioengenharia e Biociencias, Centro Hospitalar de Lisboa Central EPE, Universidade Nova de Lisboa Faculdade de Ciencias Medicas