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dc.contributor.authorBernal, Cynthia
dc.contributor.authorPing, Sara
dc.contributor.authorRojas Segovia, Alejandra María 
dc.contributor.authorCaballero, Oliver
dc.contributor.authorStittleburg, Victoria
dc.contributor.authorArévalo de Guillén, Yvalena
dc.contributor.authorLangjahr Penayo, Patricia Elena 
dc.contributor.authorPinsky, Benjamin A.
dc.contributor.authorVon-Horoch, Marta
dc.contributor.authorLuraschi, Patricia
dc.contributor.authorCabral, Sandra
dc.contributor.authorSánchez, María Cecilia
dc.contributor.authorTorres, Aurelia
dc.contributor.authorCardozo, Fátima
dc.contributor.authorWaggoner, Jesse J.
dc.contributor.otherUniversidad Nacional de Asunción. Instituto de Investigaciones en Ciencias de la Saludes
dc.identifier.citationBernal C, Ping S, Rojas A, Caballero O, Stittleburg V, de Guillén Y, et al. (2023) Serum biomarkers and anti-flavivirus antibodies at presentation as indicators of severe dengue. PLoS Negl Trop Dis 17(2): e0010750.
dc.descriptionCorresponding author: (FC); (JJW)en
dc.description.abstractBackground. Dengue is the most common vector-borne viral disease worldwide. Most cases are mild, but some evolve into severe dengue (SD), with high lethality. Therefore, it is important to identify biomarkers of severe disease to improve outcomes and judiciously utilize resources. Methods/Principal findings. One hundred forty-five confirmed dengue cases (median age, 42; range <1–91 years), enrolled from February 2018 to March 2020, were selected from an ongoing study of suspected arboviral infections in metropolitan Asunción, Paraguay. Cases included dengue virus types 1, 2, and 4, and severity was categorized according to the 2009 World Health Organization guidelines. Testing for anti-dengue virus IgM and IgG and serum biomarkers (lipopolysaccharide binding protein and chymase) was performed on acute-phase sera in plate-based ELISAs; in addition, a multiplex ELISA platform was used to measure anti-dengue virus and anti-Zika virus IgM and IgG. Complete blood counts and chemistries were performed at the discretion of the care team. Age, gender, and pre-existing comorbidities were associated with SD vs. dengue with/without warning signs in logistic regression with odds ratios (ORs) of 1.07 (per year; 95% confidence interval, 1.03, 1.11), 0.20 (female; 0.05,0.77), and 2.09 (presence; 1.26, 3.48) respectively. In binary logistic regression, for every unit increase in anti-DENV IgG in the multiplex platform, odds of SD increased by 2.54 (1.19–5.42). Platelet count, lymphocyte percent, and elevated chymase were associated with SD in a combined logistic regression model with ORs of 0.99 (1,000/μL; 0.98,0.999), 0.92 (%; 0.86,0.98), and 1.17 (mg/mL; 1.03,1.33) respectively. Conclusions. Multiple, readily available factors were associated with SD in this population. These findings will aid in the early detection of potentially severe dengue cases and inform the development of new prognostics for use in acute-phase and serial samples from dengue cases.en
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.format.extent18 páginases
dc.publisherPublic Library of Sciencees
dc.rightsAtribución 4.0 Internacional*
dc.subject.classification7 Saludes
dc.subject.otherDengue Gravees
dc.subject.otherSevere Dengueen
dc.titleSerum biomarkers and anti-flavivirus antibodies at presentation as indicators of severe denguees
dc.typeresearch articlees
dc.description.fundingtextPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de investigación y desarrolloes
dc.description.fundingtextPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de creación y fortalecimiento de maestrías y doctorados de excelenciaes
dc.journal.titlePLOS Neglected Tropical Diseaseses
dc.rights.accessRightsopen accesses
dc.rights.copyright© 2023 Bernal et
dc.subject.ocde3.3. Ciencias de la salud (salud pública, medicina social, higiene, enfermería, epidemiología)es

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Atribución 4.0 Internacional
Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional