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Discovery of delirium biomarkers through minimally invasive serum molecular fingerprinting

2024-05Journal 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 A.
dc.contributor.authorBento, Luís
dc.contributor.authorCalado, Cecília R.
dc.date.accessioned2024-07-24T08:29:08Z
dc.date.available2024-07-24T08:29:08Z
dc.date.issued2024-05
dc.descriptionThis research was funded by project grant DSAIPA/DS/0117/2020, supported by Fundação para a Ciência e a Tecnologia, Portugal. C. P. Von Rekowski and R. Araújo also acknowledge the PhD grants from FCT, numbers 2023.01951.BD and 2021.05553.BD, respectively.pt_PT
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 A, Araújo R, Ramalhete L, Von Rekowski C, Fonseca TA, Bento L, et al. Discovery of delirium biomarkers through minimally invasive serum molecular fingerprinting. Metabolites. 2024;14(6):301.pt_PT
dc.identifier.doi10.3390/metabo14060301pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/17579
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2218-1989/14/6/301pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectFTIR spectroscopypt_PT
dc.subjectBiomarkerspt_PT
dc.subjectDeliriumpt_PT
dc.subjectOmicspt_PT
dc.subjectSerumpt_PT
dc.titleDiscovery of delirium biomarkers through minimally invasive serum molecular fingerprintingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0117%2F2020/PT
oaire.citation.issue6pt_PT
oaire.citation.startPage301pt_PT
oaire.citation.titleMetabolitespt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication8f80f51c-b563-49e2-9864-a2c78479fc19
relation.isProjectOfPublication.latestForDiscovery8f80f51c-b563-49e2-9864-a2c78479fc19

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