Survivability prediction based on the serum molecular fingerprint in critically ill patients

Correia, Inês; Araújo, Rúben Alexandre Dinis; Henrique Fonseca, Tiago Alexandre; Von Rekowski, Cristiana; Bento, Luís; Calado, Cecília

http://hdl.handle.net/10400.21/21763

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Authors

Correia, Inês

Araújo, Rúben Alexandre Dinis

Henrique Fonseca, Tiago Alexandre

Von Rekowski, Cristiana

Bento, Luís

Calado, Cecília

Abstract(s)

It is relevant to discover biomarkers enabling to predict critically ill patients’ survival. This study focused on 45 patients, from which 22 deceased and 23 were discharged from an Intensive Care Unit (ICU). It was considered the serum molecular fingerprint, as acquired by Fourier Transform Infra-Red (FTIR) spectroscopy, obtained 3 days before the patients discharged or death at the ICU. It was possible to obtain ratios of bands of the sera spectra, statistically different between the two groups of patients. Furthermore, good Naïve Bayes models were developed based on the second derivative spectra enabling an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of 0.77. These promising outputs suggest further investigation with a larger cohort.

Keywords

Intensive care unit Survival Biomarkers

URI

http://hdl.handle.net/10400.21/21763

Citation

Correia, I. et al. Survivability prediction based on the serum molecular fingerprint in critically ill patients. In 50th LISBON International Conference on “Marketing, Education, Humanities and Social Sciences” (LMEHSS-24), Lisbon, Portugal, 2024, pp. 41-44, doi: https://uruae.org/proceedingspdf.php?id=56 https://doi.org/10.17758/URUAE24