Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link
Volume 25, Number 8—August 2019
Research

Cross-Protection of Dengue Virus Infection against Congenital Zika Syndrome, Northeastern Brazil

Celia Pedroso1, Carlo Fischer1, Marie Feldmann1, Manoel Sarno, Estela Luz, Andrés Moreira-Soto, Renata Cabral, Eduardo Martins Netto, Carlos Brites, Beate M. Kümmerer, and Jan Felix DrexlerComments to Author 
Author affiliations: Universidade Federal da Bahia, Salvador, Brazil (C. Pedroso, M. Sarno, E. Luz, R. Cabral, E. Martins Netto, C. Brites); Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin Humbolt-Universität zu Berlin and Berlin Institute of Health, Institute of Virology, Berlin, Germany (C. Fischer, A. Moreira-Soto, J.F. Drexler); University of Bonn Medical Centre, Bonn, Germany (M. Feldmann, B.M. Kümmerer); German Centre for Infection Research (B.M. Kümmerer, J.F. Drexler); Martsinovsky Institute of Medical Parasitology, Tropical and Vector-Borne Diseases, Sechenov University, Moscow, Russia (J.F. Drexler)

Main Article

Table

Comparison of models used to identify factors affecting development of congenital Zika syndrome in study of dengue virus cross-protection against congenital Zika syndrome, northeastern Brazil*

Model Predictor scale AIC ΔAIC AW Odds ratio (95% CI) p value
Neutralization of >2 DENV serotypes Binary 130.4 0 0.2812 0.158 (0.062–0.395) <0.0001
No. neutralized serotypes Ordinal, 5 ranks 130.6 0.2 0.2590 0.577 (0.432–0.763) <0.0001
DENV-4 neutralization Binary 131.4 0.9 0.1750 0.192 (0.078–0.449) <0.0001
DENV-2 neutralization Binary 131.5 1.1 0.1657 0.170 (0.068–0.423) <0.0001
Neutralization of >3 DENV serotypes Binary 133.0 2.6 0.0771 0.210 (0.086–0.492) <0.0001
Neutralization of >1 DENV serotypes Binary 134.8 4.4 0.0319 0.170 (0.060–0.477) <0.0001
DENV-1 neutralization Binary 139.1 8.6 0.0038 0.298 (0.122–0.733) 0.009
DENV-3 neutralization Binary 140.3 9.9 0.0020 0.368 (0.154–0.844) 0.018
Neutralization of 4 DENV serotypes Binary 140.5 10.1 0.0018 0.361 (0.139–0.852) 0.020
Anti-DENV-2 PRNT90 titer Continuous 141.8 11.4 <0.001 0.998 (0.990–1.000) 0.043
Anti-DENV-1 PRNT90 titer Continuous 142.8 12.4 <0.001 0.997 (0.990–1.000) 0.079
Neutralization of 1 DENV serotype Binary 143.2 12.8 <0001 3.328 (0.776–13.477) 0.101
Age of mothers when giving birth Continuous 143.2 12.8 <0.001 0.953 (0.896–1.010) 0.136
Anti-DENV-3 PRNT90 titer Continuous 144.2 13.8 <0.001 0.996 (0.990–1.000) 0.195
Anti-DENV-4 PRNT90 titer Continuous 144.9 14.5 <0.001 0.998 (0.990–1.000) 0.326

*p values were calculated by likelihood ratio tests of the different models. Models are sorted by AIC, which is an estimator of the model’s quality; models with lower AIC values are superior to models with higher AIC values. The scale of predictor variables must be considered when comparing ORs of different models. AIC, Akaike information criterion; AW, Akaike weight; DENV 1–4, dengue virus types 1–4; OR, odds ratio; PRNT90, 90% plaque reduction neutralization test; ΔAIC, difference between a given and the best-supported model in AIC.

Main Article

1These authors contributed equally to this article.

Page created: July 16, 2019
Page updated: July 16, 2019
Page reviewed: July 16, 2019
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
file_external