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Discovery of Delirium Biomarkers through Minimally Invasive Serum Molecular Fingerprinting

2024-05-26Artigo científico Acesso aberto
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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 H
dc.contributor.authorBento, Luís
dc.contributor.authorCalado, Cecília R C
dc.contributor.authorCalado, Cecília
dc.contributor.institutionComprehensive Health Research Centre (CHRC) - pólo NMS
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.institutioniNOVA4Health - pólo NMS
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2024-07-11T22:19:28Z
dc.date.available2024-07-11T22:19:28Z
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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent1231287
dc.identifier.doi10.3390/metabo14060301
dc.identifier.issn2218-1989
dc.identifier.otherPURE: 94051980
dc.identifier.otherPURE UUID: f812079c-04d9-4852-aaf5-dc64e6b16623
dc.identifier.otherPubMed: 38921436
dc.identifier.otherPubMedCentral: PMC11205956
dc.identifier.otherScopus: 85197134241
dc.identifier.urihttp://hdl.handle.net/10362/169554
dc.language.isoeng
dc.peerreviewedyes
dc.subjectbiomarkers
dc.subjectdelirium
dc.subjectFTIR spectroscopy
dc.subjectomics
dc.subjectserum
dc.titleDiscovery of Delirium Biomarkers through Minimally Invasive Serum Molecular Fingerprintingen
dc.typejournal article
degois.publication.issue6
degois.publication.titleMetabolites
degois.publication.volume14
dspace.entity.typePublication
person.familyNameCalado
person.givenNameCecília
person.identifier130332
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id6603163260
rcaap.rightsopenAccess
relation.isAuthorOfPublicationc7f59ff7-65ff-44b3-b444-093114c0a2e4
relation.isAuthorOfPublication.latestForDiscoveryc7f59ff7-65ff-44b3-b444-093114c0a2e4

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