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Discovery of delirium biomarkers through minimally invasive serum molecular fingerprinting.

2024-05-26Journal article Open access
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dc.contributor.authorViegas, Ana
dc.contributor.authorAraújo, Rúben
dc.contributor.authorRamalhete, Luís
dc.contributor.authorVon Rekowski, Cristiana
dc.contributor.authorFonseca, Tiago AH
dc.contributor.authorBento, Luís
dc.contributor.authorCalado, Cecília
dc.date.accessioned2024-11-04T09:47:24Z
dc.date.available2024-11-04T09:47:24Z
dc.date.issued2024-05-26
dc.description.abstractDelirium presents a significant clinical challenge, primarily due to its profound impact on patient outcomes and the limitations of the current diagnostic methods, which are largely subjective. During the COVID-19 pandemic, this challenge was intensified as the frequency of delirium assessments decreased in Intensive Care Units (ICUs), even as the prevalence of delirium among critically ill patients increased. The present study evaluated how the serum molecular fingerprint, as acquired by Fourier-Transform InfraRed (FTIR) spectroscopy, can enable the development of predictive models for delirium. A preliminary univariate analysis of serum FTIR spectra indicated significantly different bands between 26 ICU patients with delirium and 26 patients without, all of whom were admitted with COVID-19. However, these bands resulted in a poorly performing Naïve-Bayes predictive model. Considering the use of a Fast-Correlation-Based Filter for feature selection, it was possible to define a new set of spectral bands with a wider coverage of molecular functional groups. These bands ensured an excellent Naïve-Bayes predictive model, with an AUC, a sensitivity, and a specificity all exceeding 0.92. These spectral bands, acquired through a minimally invasive analysis and obtained rapidly, economically, and in a high-throughput mode, therefore offer significant potential for managing delirium in critically ill patients.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationViegas Ana, Araújo Rúben, Ramalhete Luís, Von Rekowski Cristiana, Fonseca Tiago AH, Bento Luís, Calado Cecília RC – Discovery of delirium biomarkers through minimally invasive serum molecular fingerprinting. Metabolites 2024, 14(6), 301; https://doi.org/10.3390/metabo14060301pt_PT
dc.identifier.doi10.3390/metabo14060301pt_PT
dc.identifier.issn2218-1989
dc.identifier.urihttp://hdl.handle.net/10400.21/17826
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2218-1989/14/6/301pt_PT
dc.subjectdeliriumpt_PT
dc.subjectbiomarkerspt_PT
dc.subjectFTIR spectroscopypt_PT
dc.subjectserumpt_PT
dc.subjectomicspt_PT
dc.titleDiscovery of delirium biomarkers through minimally invasive serum molecular fingerprinting.pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0117%2F2020/PT
oaire.citation.endPage14pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleMetabolitespt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameAraújo
person.familyNameRamalhete
person.familyNameVon Rekowski
person.familyNameHenrique Fonseca
person.familyNameBento
person.familyNameCalado
person.givenNameRúben Alexandre Dinis
person.givenNameLuís
person.givenNameCristiana
person.givenNameTiago Alexandre
person.givenNameLuís
person.givenNameCecília
person.identifier2296066
person.identifier1960990
person.identifier130332
person.identifier.ciencia-id9A18-BFDC-ED95
person.identifier.ciencia-idDF19-022D-AA10
person.identifier.ciencia-id8F1D-1D48-8551
person.identifier.ciencia-idE711-FA12-4784
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-9369-6486
person.identifier.orcid0000-0002-8911-3380
person.identifier.orcid0009-0009-6843-1935
person.identifier.orcid0000-0003-0741-2211
person.identifier.orcid0000-0002-0260-003X
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridL-6623-2018
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id57208672678
person.identifier.scopus-author-id6603163260
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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