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Inferring the serotype associated with dengue virus infections on the basis of pre- and postinfection neutralizing antibody titers

Van Panhuis, WG and Gibbons, RV and Endy, TP and Rothman, AL and Srikiatkhachorn, A and Nisalak, A and Burke, DS and Cummings, DAT (2010) Inferring the serotype associated with dengue virus infections on the basis of pre- and postinfection neutralizing antibody titers. Journal of Infectious Diseases, 202 (7). 1002 - 1010. ISSN 0022-1899

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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 k 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. © 2010 by the Infectious Diseases Society of America. All rights reserved.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Van Panhuis, WGwilbert.van.panhuis@pitt.eduWAV10
Gibbons, RV
Endy, TP
Rothman, AL
Srikiatkhachorn, A
Nisalak, A
Burke, DSdonburke@pitt.eduDONBURKE
Cummings, DAT
Centers: Other Centers, Institutes, Offices, or Units > Center for Vaccine Research
Date: 1 October 2010
Date Type: Publication
Journal or Publication Title: Journal of Infectious Diseases
Volume: 202
Number: 7
Page Range: 1002 - 1010
DOI or Unique Handle: 10.1086/656141
Schools and Programs: Graduate School of Public Health > Epidemiology
Refereed: Yes
ISSN: 0022-1899
Date Deposited: 07 May 2015 19:39
Last Modified: 11 May 2021 11:56


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