BACKGROUND: Currently, the only tests capable of determining the serotype associated with dengue virus (DENV) infection require sampling during the period of acute viremia. No test can accurately detect the serotype associated with past DENV infections. The standard assay for determination of serotype-specific antibody against DENV is the plaque reduction neutralization test (PRNT), although performance of this test continues to be evaluated. METHODS: From a cohort study among schoolchildren in Thailand, PRNT values were determined in serum samples collected before and after infection. A multinomial logistic regression model was used to infer the serotype associated with intercurrent DENV infections. Models were validated based on polymerase chain reaction identification of DENV serotypes. RESULTS: The serotype associated with DENV infection inferred by the model corresponded with polymerase chain reaction in 67.6% of cases, and the kappa statistic was 0.479. A model for 35 cases with primary seroconversion correctly identified the DENV serotypes causing infection in 77.1% of cases, compared with 66.9%, using a model for 169 cases with secondary seroconversion. The best model using only postinfection PRNT values correctly inferred the DENV serotype causing infection in 60.3% of cases. CONCLUSIONS: A statistical model based on both pre- and postinfection PRNT values can be used to infer the serotype associated with DENV infections in prospective studies and vaccine trials.
BACKGROUND: Currently, the only tests capable of determining the serotype associated with dengue virus (DENV) infection require sampling during the period of acute viremia. No test can accurately detect the serotype associated with past DENV infections. The standard assay for determination of serotype-specific antibody against DENV is the plaque reduction neutralization test (PRNT), although performance of this test continues to be evaluated. METHODS: From a cohort study among schoolchildren in Thailand, PRNT values were determined in serum samples collected before and after infection. A multinomial logistic regression model was used to infer the serotype associated with intercurrent DENV infections. Models were validated based on polymerase chain reaction identification of DENV serotypes. RESULTS: The serotype associated with DENVinfection inferred by the model corresponded with polymerase chain reaction in 67.6% of cases, and the kappa statistic was 0.479. A model for 35 cases with primary seroconversion correctly identified the DENV serotypes causing infection in 77.1% of cases, compared with 66.9%, using a model for 169 cases with secondary seroconversion. The best model using only postinfection PRNT values correctly inferred the DENV serotype causing infection in 60.3% of cases. CONCLUSIONS: A statistical model based on both pre- and postinfection PRNT values can be used to infer the serotype associated with DENV infections in prospective studies and vaccine trials.
Authors: Tadeusz J Kochel; Douglas M Watts; Scott B Halstead; Curtis G Hayes; Angelica Espinoza; Vidal Felices; Roxana Caceda; Christian T Bautista; Ysabel Montoya; Susan Douglas; Kevin L Russell Journal: Lancet Date: 2002-07-27 Impact factor: 79.321
Authors: Timothy P Endy; Ananda Nisalak; Supamit Chunsuttiwat; Daniel H Libraty; Sharone Green; Alan L Rothman; David W Vaughn; Francis A Ennis Journal: Am J Epidemiol Date: 2002-07-01 Impact factor: 4.897
Authors: Timothy P Endy; Supamit Chunsuttiwat; Ananda Nisalak; Daniel H Libraty; Sharone Green; Alan L Rothman; David W Vaughn; Francis A Ennis Journal: Am J Epidemiol Date: 2002-07-01 Impact factor: 4.897
Authors: Jorge M Arevalillo; Marcelo B Sztein; Karen L Kotloff; Myron M Levine; Jakub K Simon Journal: J Biomed Inform Date: 2017-08-09 Impact factor: 6.317
Authors: Irma Y Amaya-Larios; Ruth Aralí Martínez-Vega; Sandra V Mayer; Marisol Galeana-Hernández; Andreu Comas-García; Karla J Sepúlveda-Salinas; Jorge A Falcón-Lezama; Nikos Vasilakis; José Ramos-Castañeda Journal: Am J Trop Med Hyg Date: 2014-10-06 Impact factor: 2.345
Authors: Leah C Katzelnick; Judith M Fonville; Gregory D Gromowski; Jose Bustos Arriaga; Angela Green; Sarah L James; Louis Lau; Magelda Montoya; Chunling Wang; Laura A VanBlargan; Colin A Russell; Hlaing Myat Thu; Theodore C Pierson; Philippe Buchy; John G Aaskov; Jorge L Muñoz-Jordán; Nikos Vasilakis; Robert V Gibbons; Robert B Tesh; Albert D M E Osterhaus; Ron A M Fouchier; Anna Durbin; Cameron P Simmons; Edward C Holmes; Eva Harris; Stephen S Whitehead; Derek J Smith Journal: Science Date: 2015-09-18 Impact factor: 47.728
Authors: Marcia Woda; Heather Friberg; Jeffrey R Currier; Anon Srikiatkhachorn; Louis R Macareo; Sharone Green; Richard G Jarman; Alan L Rothman; Anuja Mathew Journal: J Infect Dis Date: 2016-07-20 Impact factor: 5.226
Authors: Sandra Olkowski; Brett M Forshey; Amy C Morrison; Claudio Rocha; Stalin Vilcarromero; Eric S Halsey; Tadeusz J Kochel; Thomas W Scott; Steven T Stoddard Journal: J Infect Dis Date: 2013-06-17 Impact factor: 5.226
Authors: Leidy D Piedrahita; Ivony Y Agudelo; Andrea I Trujillo; Ruth E Ramírez; Jorge E Osorio; Berta N Restrepo Journal: Am J Trop Med Hyg Date: 2016-05-16 Impact factor: 2.345