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dc.contributor.authorPerez-Garcia, Felipe 
dc.contributor.authorResino, Salvador 
dc.contributor.authorGómez-Sánchez, Esther
dc.contributor.authorGonzalo-Benito, Hugo
dc.contributor.authorFernandez-Rodriguez, Amanda 
dc.contributor.authorLorenzo-López, Mario
dc.contributor.authorHeredia-Rodríguez, María
dc.contributor.authorGómez-Pesquera, Estefanía
dc.contributor.authorTamayo, Eduardo
dc.contributor.authorJimenez-Sousa, Maria Angeles 
dc.contributor.authorGroup of Biomedical Research in Critical Care Medicine (BioCritic)
dc.date.accessioned2024-05-22T09:04:32Z
dc.date.available2024-05-22T09:04:32Z
dc.date.issued2021-04
dc.identifier.citationEur J Clin Invest. 2021 Apr;51(4):e13416.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/19520
dc.description.abstractBackground: Higher expression of olfactomedin-4 (OLFM4), a gene regulated by nuclear factor-kappa B (NF-κB), has been related to a higher risk of organ failure and death in patients with septic shock. We aimed to evaluate the association between OLFM4 single nucleotide polymorphisms (SNPs) and septic shock-related death in 175 patients who underwent major surgery, as well as its performance in predicting mortality. Materials and methods: We carried out a retrospective study. A total of seven OLFM4 SNPs were genotyped by Agena Bioscience's MassARRAY platform. Statistical analysis was performed by Kaplan-Meier and Cox regression tests. The diagnostic performance for predicting septic shock-related death was evaluated by the area under the receiver-operating characteristic (AUROC) curve. Results: Patients with rs17552047 A allele and rs1891944 TT genotype had higher survival than patients with rs17552047 G allele (P-value = .024) and patients with rs1891944 CC/CT genotype (P-value = .038). However, only rs17552047 was associated with a lower risk of death under an additive inheritance model (adjusted hazard ratio [aHR] = 0.44, 95% CI = 0.27-0.71). The multivariate model with the most significant clinical variables (lactate, chronic kidney disease, peritonitis, heart disease and elective surgery) showed an AUROC of 0.776 for predicting septic shock-related death. When we added the OLFM4 rs17552047 SNP to the previous model, the AUROC was 0.811 and was close to reaching significant differences with the previous model (P-value = .065). Conclusion: OLFM4 rs17552047 A allele predicts septic shock survival in patients who underwent major surgery. Furthermore, rs17552047, together with clinical variables, could be useful to predict the outcome of septic shock.es_ES
dc.description.sponsorshipThis work has been supported by grants given by Instituto de Salud Carlos III (grant number PI15/01451 to ET), ‘Gerencia de Salud, Consejería de Sanidad, Junta de Castilla y Leon’ [grant number GRS463/A/10 and 773/A/13 to ET] and PFIZER [grant number CT25-ESP01-01 to SR]. MAJS and AFR are supported by ‘Instituto de Salud Carlos III’ [grant numbers CP17CIII/00007 and CP14CIII/00010, respectively]es_ES
dc.language.isoenges_ES
dc.publisherWiley es_ES
dc.type.hasVersionSMURes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMajor surgeryes_ES
dc.subjectOLFM4es_ES
dc.subjectrs17552047es_ES
dc.subjectSeptic shockes_ES
dc.subjectSNPses_ES
dc.subjectSurvivales_ES
dc.subject.meshAged es_ES
dc.subject.meshAged, 80 and over es_ES
dc.subject.meshArea Under Curve es_ES
dc.subject.meshFemale es_ES
dc.subject.meshGranulocyte Colony-Stimulating Factor es_ES
dc.subject.meshHumans es_ES
dc.subject.meshMale es_ES
dc.subject.meshMiddle Aged es_ES
dc.subject.meshPolymorphism, Single Nucleotidees_ES
dc.subject.meshPostoperative Complications es_ES
dc.subject.meshPrognosis es_ES
dc.subject.meshProportional Hazards Models es_ES
dc.subject.meshROC Curve es_ES
dc.subject.meshRetrospective Studies es_ES
dc.subject.meshShock, Septic es_ES
dc.subject.meshSurvival Rate es_ES
dc.titleOLFM4 polymorphisms predict septic shock survival after major surgeryes_ES
dc.typeresearch articlees_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.pubmedID32996122es_ES
dc.format.volume51es_ES
dc.format.number4es_ES
dc.format.pagee13416es_ES
dc.identifier.doi10.1111/eci.13416es_ES
dc.contributor.funderInstituto de Salud Carlos III es_ES
dc.contributor.funderJunta de Castilla y León (España) es_ES
dc.contributor.funderPfizer es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1365-2362es_ES
dc.relation.publisherversionhttps://doi.org/10.1111/eci.13416es_ES
dc.identifier.journalEuropean journal of clinical investigationes_ES
dc.repisalud.centroISCIII::Centro Nacional de Microbiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/MINECO//PI15%2F01451/ES/Desarrollo de un método molecular basado en análisis transcriptómico masivo + PCR de próxima generación para el diagnóstico diferencial entre shock séptico y shock no séptico/ es_ES
dc.relation.projectFISinfo:eu-repo/grantAgreement/ES/CP14CIII/00010es_ES
dc.relation.projectFISinfo:eu-repo/grantAgreement/ES/CP17CIII/00007es_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional