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2081. Building a Decision Tree with Serial Serology Measurements Improves Classification in a Flavivirus Co-circulation Region

BACKGROUND: RT-PCR (reverse transcriptase polymerase chain reaction) is often considered the “gold standard” for diagnosis of Zika Virus (ZIKV) infection; however, it has been shown to have low sensitivity. A possible remedy is to study ZIKV-specific IgG (ZsIgG) and IgM (ZsIgM) antibodies. However,...

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Autores principales: Lumbard, Keith, Arteaga Cabello, Fernando J, Gouel-Cheron, Aurelie, Belaunzarán, Francisco, Nájera-Cancino, Gabriel, Caballero-Sosa, Sandra, Rincón-León, Héctor, Del Carmen Ruis Hernandez, Emilia, Cervantes, Pilar Ramos, Lourdes Guerrero, M, Beigel, John, Trujillo-Murillo, Karina, Pedraza, Gustavo, Sepulveda, Jesús, Escobedo-Lopez, Kenia Melina, Mora-Suarez, Nora K, Reyes-Romero, Monica, Ibarra-González, Violeta, Marínez-Lopez, Julia, Ruiz-Palacios, Guillermo, Hunsberger, Sally
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254562/
http://dx.doi.org/10.1093/ofid/ofy210.1737
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author Lumbard, Keith
Arteaga Cabello, Fernando J
Gouel-Cheron, Aurelie
Belaunzarán, Francisco
Nájera-Cancino, Gabriel
Caballero-Sosa, Sandra
Rincón-León, Héctor
Del Carmen Ruis Hernandez, Emilia
Cervantes, Pilar Ramos
Lourdes Guerrero, M
Beigel, John
Trujillo-Murillo, Karina
Pedraza, Gustavo
Sepulveda, Jesús
Escobedo-Lopez, Kenia Melina
Mora-Suarez, Nora K
Reyes-Romero, Monica
Ibarra-González, Violeta
Marínez-Lopez, Julia
Ruiz-Palacios, Guillermo
Hunsberger, Sally
author_facet Lumbard, Keith
Arteaga Cabello, Fernando J
Gouel-Cheron, Aurelie
Belaunzarán, Francisco
Nájera-Cancino, Gabriel
Caballero-Sosa, Sandra
Rincón-León, Héctor
Del Carmen Ruis Hernandez, Emilia
Cervantes, Pilar Ramos
Lourdes Guerrero, M
Beigel, John
Trujillo-Murillo, Karina
Pedraza, Gustavo
Sepulveda, Jesús
Escobedo-Lopez, Kenia Melina
Mora-Suarez, Nora K
Reyes-Romero, Monica
Ibarra-González, Violeta
Marínez-Lopez, Julia
Ruiz-Palacios, Guillermo
Hunsberger, Sally
author_sort Lumbard, Keith
collection PubMed
description BACKGROUND: RT-PCR (reverse transcriptase polymerase chain reaction) is often considered the “gold standard” for diagnosis of Zika Virus (ZIKV) infection; however, it has been shown to have low sensitivity. A possible remedy is to study ZIKV-specific IgG (ZsIgG) and IgM (ZsIgM) antibodies. However, the in vitro cross-reactivities of Dengue virus (DENV) and ZIKV-specific antibodies are well known, leading to diagnostic difficulties in an area with co-circulation of the two viruses. Our goal was to use Zika and Dengue serologic assays to build a classification model that improves upon the PPV of commercial kits while maintaining sensitivity. METHODS: We conducted a prospective longitudinal study in Southern Mexico where DENV and ZIKV co-circulation occurs (NCT02831699). Patients were included in two cohorts: a cohort of subjects presenting with a febrile rash meeting WHO/PAHO Zika case definition and a household cohort. After signed consent, all subjects enrolled were evaluated on study-visit Days 0, 3 and 7 (for fever rash cohort) and 28. We considered a subject “true positive” for ZIKV or DENV if RT-PCR positive at any time point. The healthy household cohort (with no positive RT-PCR) was considered “true negatives.” We fit a statistical decision tree taking as inputs serial serology measurements and outputting a predicted disease category. Funded in part by the NCI Contract No. HHSN261200800001E. Funded in part by the Mexican Ministry of Health. RESULTS: As of March 2018, we have 32 subjects in the Zika PCR+ group, 32 in the Dengue PCR+ group, and 68 in the household group. Our decision tree (Figure 1) achieved PPV of at least 90% on all three disease categories, while maintaining sensitivity above 50%. The highest PPV achieved by the kit manufacturer recommended cutoffs while maintaining a sensitivity of at least 10% on Zika PCR+ subjects is 30/114 (26%), and for Dengue PCR+ subjects is 21/30 (70%). CONCLUSION: Using serology data in a statistical decision tree improves the PPV exhibited by the kit manufacturer recommendations while still maintaining respectable sensitivity. Physicians in regions with co-circulating flaviviruses should be aware of the pitfalls of using only RT-PCR or using pre-established commercial cutoffs in the serology kits for diagnosis. [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62545622018-11-28 2081. Building a Decision Tree with Serial Serology Measurements Improves Classification in a Flavivirus Co-circulation Region Lumbard, Keith Arteaga Cabello, Fernando J Gouel-Cheron, Aurelie Belaunzarán, Francisco Nájera-Cancino, Gabriel Caballero-Sosa, Sandra Rincón-León, Héctor Del Carmen Ruis Hernandez, Emilia Cervantes, Pilar Ramos Lourdes Guerrero, M Beigel, John Trujillo-Murillo, Karina Pedraza, Gustavo Sepulveda, Jesús Escobedo-Lopez, Kenia Melina Mora-Suarez, Nora K Reyes-Romero, Monica Ibarra-González, Violeta Marínez-Lopez, Julia Ruiz-Palacios, Guillermo Hunsberger, Sally Open Forum Infect Dis Abstracts BACKGROUND: RT-PCR (reverse transcriptase polymerase chain reaction) is often considered the “gold standard” for diagnosis of Zika Virus (ZIKV) infection; however, it has been shown to have low sensitivity. A possible remedy is to study ZIKV-specific IgG (ZsIgG) and IgM (ZsIgM) antibodies. However, the in vitro cross-reactivities of Dengue virus (DENV) and ZIKV-specific antibodies are well known, leading to diagnostic difficulties in an area with co-circulation of the two viruses. Our goal was to use Zika and Dengue serologic assays to build a classification model that improves upon the PPV of commercial kits while maintaining sensitivity. METHODS: We conducted a prospective longitudinal study in Southern Mexico where DENV and ZIKV co-circulation occurs (NCT02831699). Patients were included in two cohorts: a cohort of subjects presenting with a febrile rash meeting WHO/PAHO Zika case definition and a household cohort. After signed consent, all subjects enrolled were evaluated on study-visit Days 0, 3 and 7 (for fever rash cohort) and 28. We considered a subject “true positive” for ZIKV or DENV if RT-PCR positive at any time point. The healthy household cohort (with no positive RT-PCR) was considered “true negatives.” We fit a statistical decision tree taking as inputs serial serology measurements and outputting a predicted disease category. Funded in part by the NCI Contract No. HHSN261200800001E. Funded in part by the Mexican Ministry of Health. RESULTS: As of March 2018, we have 32 subjects in the Zika PCR+ group, 32 in the Dengue PCR+ group, and 68 in the household group. Our decision tree (Figure 1) achieved PPV of at least 90% on all three disease categories, while maintaining sensitivity above 50%. The highest PPV achieved by the kit manufacturer recommended cutoffs while maintaining a sensitivity of at least 10% on Zika PCR+ subjects is 30/114 (26%), and for Dengue PCR+ subjects is 21/30 (70%). CONCLUSION: Using serology data in a statistical decision tree improves the PPV exhibited by the kit manufacturer recommendations while still maintaining respectable sensitivity. Physicians in regions with co-circulating flaviviruses should be aware of the pitfalls of using only RT-PCR or using pre-established commercial cutoffs in the serology kits for diagnosis. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6254562/ http://dx.doi.org/10.1093/ofid/ofy210.1737 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Lumbard, Keith
Arteaga Cabello, Fernando J
Gouel-Cheron, Aurelie
Belaunzarán, Francisco
Nájera-Cancino, Gabriel
Caballero-Sosa, Sandra
Rincón-León, Héctor
Del Carmen Ruis Hernandez, Emilia
Cervantes, Pilar Ramos
Lourdes Guerrero, M
Beigel, John
Trujillo-Murillo, Karina
Pedraza, Gustavo
Sepulveda, Jesús
Escobedo-Lopez, Kenia Melina
Mora-Suarez, Nora K
Reyes-Romero, Monica
Ibarra-González, Violeta
Marínez-Lopez, Julia
Ruiz-Palacios, Guillermo
Hunsberger, Sally
2081. Building a Decision Tree with Serial Serology Measurements Improves Classification in a Flavivirus Co-circulation Region
title 2081. Building a Decision Tree with Serial Serology Measurements Improves Classification in a Flavivirus Co-circulation Region
title_full 2081. Building a Decision Tree with Serial Serology Measurements Improves Classification in a Flavivirus Co-circulation Region
title_fullStr 2081. Building a Decision Tree with Serial Serology Measurements Improves Classification in a Flavivirus Co-circulation Region
title_full_unstemmed 2081. Building a Decision Tree with Serial Serology Measurements Improves Classification in a Flavivirus Co-circulation Region
title_short 2081. Building a Decision Tree with Serial Serology Measurements Improves Classification in a Flavivirus Co-circulation Region
title_sort 2081. building a decision tree with serial serology measurements improves classification in a flavivirus co-circulation region
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254562/
http://dx.doi.org/10.1093/ofid/ofy210.1737
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