Mostrar el registro sencillo del ítem
dc.contributor.author | Perez-Garcia, Felipe | |
dc.contributor.author | Resino, Salvador | |
dc.contributor.author | Gómez-Sánchez, Esther | |
dc.contributor.author | Gonzalo-Benito, Hugo | |
dc.contributor.author | Fernandez-Rodriguez, Amanda | |
dc.contributor.author | Lorenzo-López, Mario | |
dc.contributor.author | Heredia-Rodríguez, María | |
dc.contributor.author | Gómez-Pesquera, Estefanía | |
dc.contributor.author | Tamayo, Eduardo | |
dc.contributor.author | Jimenez-Sousa, Maria Angeles | |
dc.contributor.author | Group of Biomedical Research in Critical Care Medicine (BioCritic) | |
dc.date.accessioned | 2024-05-22T09:04:32Z | |
dc.date.available | 2024-05-22T09:04:32Z | |
dc.date.issued | 2021-04 | |
dc.identifier.citation | Eur J Clin Invest. 2021 Apr;51(4):e13416. | es_ES |
dc.identifier.uri | http://hdl.handle.net/20.500.12105/19520 | |
dc.description.abstract | Background: 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.sponsorship | This 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.iso | eng | es_ES |
dc.publisher | Wiley | es_ES |
dc.type.hasVersion | SMUR | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Major surgery | es_ES |
dc.subject | OLFM4 | es_ES |
dc.subject | rs17552047 | es_ES |
dc.subject | Septic shock | es_ES |
dc.subject | SNPs | es_ES |
dc.subject | Survival | es_ES |
dc.subject.mesh | Aged | es_ES |
dc.subject.mesh | Aged, 80 and over | es_ES |
dc.subject.mesh | Area Under Curve | es_ES |
dc.subject.mesh | Female | es_ES |
dc.subject.mesh | Granulocyte Colony-Stimulating Factor | es_ES |
dc.subject.mesh | Humans | es_ES |
dc.subject.mesh | Male | es_ES |
dc.subject.mesh | Middle Aged | es_ES |
dc.subject.mesh | Polymorphism, Single Nucleotide | es_ES |
dc.subject.mesh | Postoperative Complications | es_ES |
dc.subject.mesh | Prognosis | es_ES |
dc.subject.mesh | Proportional Hazards Models | es_ES |
dc.subject.mesh | ROC Curve | es_ES |
dc.subject.mesh | Retrospective Studies | es_ES |
dc.subject.mesh | Shock, Septic | es_ES |
dc.subject.mesh | Survival Rate | es_ES |
dc.title | OLFM4 polymorphisms predict septic shock survival after major surgery | es_ES |
dc.type | research article | es_ES |
dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.identifier.pubmedID | 32996122 | es_ES |
dc.format.volume | 51 | es_ES |
dc.format.number | 4 | es_ES |
dc.format.page | e13416 | es_ES |
dc.identifier.doi | 10.1111/eci.13416 | es_ES |
dc.contributor.funder | Instituto de Salud Carlos III | es_ES |
dc.contributor.funder | Junta de Castilla y León (España) | es_ES |
dc.contributor.funder | Pfizer | es_ES |
dc.description.peerreviewed | Sí | es_ES |
dc.identifier.e-issn | 1365-2362 | es_ES |
dc.relation.publisherversion | https://doi.org/10.1111/eci.13416 | es_ES |
dc.identifier.journal | European journal of clinical investigation | es_ES |
dc.repisalud.centro | ISCIII::Centro Nacional de Microbiología | es_ES |
dc.repisalud.institucion | ISCIII | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.relation.projectFECYT | info: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.projectFIS | info:eu-repo/grantAgreement/ES/CP14CIII/00010 | es_ES |
dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/CP17CIII/00007 | es_ES |