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Etiology of Acute Febrile Illness in the Peruvian Amazon as determined by modular formatted quantitative PCR: A Protocol for RIVERA, a Health Facility-Based Case-Control Study

BACKGROUND: The study of the etiology of acute febrile illness (AFI) has historically been designed as a prevalence of pathogens detected from a case series. This strategy has an inherent unrealistic assumption that all pathogen detection allows for causal attribution, despite known asymptomatic car...

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Autores principales: Peñataro_Yori, Pablo, Paredes_Olórtegui, Maribel, Schiaffino, Francesca, Perez, Karin, Curico_Huansi, Greisi, Flynn, Thomas, Zhang, Jixian, Ramal_Asayag, Cesar, Meza_Sanchez, Graciela, Silva_Delgado, Hermann, Casapia_Morales, Martin, Casanova, Wilma, Jiu, Bruce, Munayco_Escate, Cesar, Silver, Rachel, Henao, Olga, Cooper, Kerry K., Liu, Jie, Houpt, Eric, Kosek, Margaret N, Colston, Josh M, Oberhelman, Richard, Pinedo_Vasquez, Tackeshy, Garcia_Bardales, Paul F, Shapiama_Lopez, Wagner Valentino, Zegarra_Paredes, Loyda Fiorella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081374/
https://www.ncbi.nlm.nih.gov/pubmed/37034707
http://dx.doi.org/10.21203/rs.3.rs-2635774/v1
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author Peñataro_Yori, Pablo
Paredes_Olórtegui, Maribel
Schiaffino, Francesca
Perez, Karin
Curico_Huansi, Greisi
Flynn, Thomas
Zhang, Jixian
Ramal_Asayag, Cesar
Meza_Sanchez, Graciela
Silva_Delgado, Hermann
Casapia_Morales, Martin
Casanova, Wilma
Jiu, Bruce
Munayco_Escate, Cesar
Silver, Rachel
Henao, Olga
Cooper, Kerry K.
Liu, Jie
Houpt, Eric
Kosek, Margaret N
Colston, Josh M
Oberhelman, Richard
Pinedo_Vasquez, Tackeshy
Garcia_Bardales, Paul F
Shapiama_Lopez, Wagner Valentino
Zegarra_Paredes, Loyda Fiorella
author_facet Peñataro_Yori, Pablo
Paredes_Olórtegui, Maribel
Schiaffino, Francesca
Perez, Karin
Curico_Huansi, Greisi
Flynn, Thomas
Zhang, Jixian
Ramal_Asayag, Cesar
Meza_Sanchez, Graciela
Silva_Delgado, Hermann
Casapia_Morales, Martin
Casanova, Wilma
Jiu, Bruce
Munayco_Escate, Cesar
Silver, Rachel
Henao, Olga
Cooper, Kerry K.
Liu, Jie
Houpt, Eric
Kosek, Margaret N
Colston, Josh M
Oberhelman, Richard
Pinedo_Vasquez, Tackeshy
Garcia_Bardales, Paul F
Shapiama_Lopez, Wagner Valentino
Zegarra_Paredes, Loyda Fiorella
author_sort Peñataro_Yori, Pablo
collection PubMed
description BACKGROUND: The study of the etiology of acute febrile illness (AFI) has historically been designed as a prevalence of pathogens detected from a case series. This strategy has an inherent unrealistic assumption that all pathogen detection allows for causal attribution, despite known asymptomatic carriage of the principal causes of acute febrile illness in most low- and middle-income countries (LMICs). We designed a semi-quantitative PCR in a modular format to detect bloodborne agents of acute febrile illness that encompassed common etiologies of AFI in the region, etiologies of recent epidemics, etiologies that require an immediate public health response and additional pathogens of unknown endemicity. We then designed a study that would delineate background levels of transmission in the community in the absence of symptoms to provide corrected estimates of attribution for the principal determinants of AFI. METHODS: A case-control study of acute febrile illness in patients ten years or older seeking health care in Iquitos, Loreto, Peru, was planned. Upon enrollment, we will obtain blood, saliva, and mid-turbinate nasal swabs at enrollment with a follow-up visit on day 21–28 following enrollment to attain vital status and convalescent saliva and blood samples, as well as a questionnaire including clinical, socio-demographic, occupational, travel, and animal contact information for each participant. Whole blood samples are to be simultaneously tested for 32 pathogens using TaqMan array cards. Mid-turbinate samples will be tested for SARS-CoV-2, Influenza A and Influenza B. Conditional logistic regression models will be fitted treating case/control status as the outcome and with pathogen-specific sample positivity as predictors to attain estimates of attributable pathogen fractions for AFI. DISCUSSION: The modular PCR platforms will allow for reporting of all primary results of respiratory samples within 72 hours and blood samples within one week, allowing for results to influence local medical practice and enable timely public health responses. The inclusion of controls will allow for a more accurate estimate of the importance of specific, prevalent pathogens as a cause of acute illness. STUDY REGISTRATION: Project 1791, Registro de Proyectos de Investigación en Salud Pública (PRISA), Instituto Nacional de Salud, Perú.
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spelling pubmed-100813742023-04-08 Etiology of Acute Febrile Illness in the Peruvian Amazon as determined by modular formatted quantitative PCR: A Protocol for RIVERA, a Health Facility-Based Case-Control Study Peñataro_Yori, Pablo Paredes_Olórtegui, Maribel Schiaffino, Francesca Perez, Karin Curico_Huansi, Greisi Flynn, Thomas Zhang, Jixian Ramal_Asayag, Cesar Meza_Sanchez, Graciela Silva_Delgado, Hermann Casapia_Morales, Martin Casanova, Wilma Jiu, Bruce Munayco_Escate, Cesar Silver, Rachel Henao, Olga Cooper, Kerry K. Liu, Jie Houpt, Eric Kosek, Margaret N Colston, Josh M Oberhelman, Richard Pinedo_Vasquez, Tackeshy Garcia_Bardales, Paul F Shapiama_Lopez, Wagner Valentino Zegarra_Paredes, Loyda Fiorella Res Sq Article BACKGROUND: The study of the etiology of acute febrile illness (AFI) has historically been designed as a prevalence of pathogens detected from a case series. This strategy has an inherent unrealistic assumption that all pathogen detection allows for causal attribution, despite known asymptomatic carriage of the principal causes of acute febrile illness in most low- and middle-income countries (LMICs). We designed a semi-quantitative PCR in a modular format to detect bloodborne agents of acute febrile illness that encompassed common etiologies of AFI in the region, etiologies of recent epidemics, etiologies that require an immediate public health response and additional pathogens of unknown endemicity. We then designed a study that would delineate background levels of transmission in the community in the absence of symptoms to provide corrected estimates of attribution for the principal determinants of AFI. METHODS: A case-control study of acute febrile illness in patients ten years or older seeking health care in Iquitos, Loreto, Peru, was planned. Upon enrollment, we will obtain blood, saliva, and mid-turbinate nasal swabs at enrollment with a follow-up visit on day 21–28 following enrollment to attain vital status and convalescent saliva and blood samples, as well as a questionnaire including clinical, socio-demographic, occupational, travel, and animal contact information for each participant. Whole blood samples are to be simultaneously tested for 32 pathogens using TaqMan array cards. Mid-turbinate samples will be tested for SARS-CoV-2, Influenza A and Influenza B. Conditional logistic regression models will be fitted treating case/control status as the outcome and with pathogen-specific sample positivity as predictors to attain estimates of attributable pathogen fractions for AFI. DISCUSSION: The modular PCR platforms will allow for reporting of all primary results of respiratory samples within 72 hours and blood samples within one week, allowing for results to influence local medical practice and enable timely public health responses. The inclusion of controls will allow for a more accurate estimate of the importance of specific, prevalent pathogens as a cause of acute illness. STUDY REGISTRATION: Project 1791, Registro de Proyectos de Investigación en Salud Pública (PRISA), Instituto Nacional de Salud, Perú. American Journal Experts 2023-03-31 /pmc/articles/PMC10081374/ /pubmed/37034707 http://dx.doi.org/10.21203/rs.3.rs-2635774/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Article
Peñataro_Yori, Pablo
Paredes_Olórtegui, Maribel
Schiaffino, Francesca
Perez, Karin
Curico_Huansi, Greisi
Flynn, Thomas
Zhang, Jixian
Ramal_Asayag, Cesar
Meza_Sanchez, Graciela
Silva_Delgado, Hermann
Casapia_Morales, Martin
Casanova, Wilma
Jiu, Bruce
Munayco_Escate, Cesar
Silver, Rachel
Henao, Olga
Cooper, Kerry K.
Liu, Jie
Houpt, Eric
Kosek, Margaret N
Colston, Josh M
Oberhelman, Richard
Pinedo_Vasquez, Tackeshy
Garcia_Bardales, Paul F
Shapiama_Lopez, Wagner Valentino
Zegarra_Paredes, Loyda Fiorella
Etiology of Acute Febrile Illness in the Peruvian Amazon as determined by modular formatted quantitative PCR: A Protocol for RIVERA, a Health Facility-Based Case-Control Study
title Etiology of Acute Febrile Illness in the Peruvian Amazon as determined by modular formatted quantitative PCR: A Protocol for RIVERA, a Health Facility-Based Case-Control Study
title_full Etiology of Acute Febrile Illness in the Peruvian Amazon as determined by modular formatted quantitative PCR: A Protocol for RIVERA, a Health Facility-Based Case-Control Study
title_fullStr Etiology of Acute Febrile Illness in the Peruvian Amazon as determined by modular formatted quantitative PCR: A Protocol for RIVERA, a Health Facility-Based Case-Control Study
title_full_unstemmed Etiology of Acute Febrile Illness in the Peruvian Amazon as determined by modular formatted quantitative PCR: A Protocol for RIVERA, a Health Facility-Based Case-Control Study
title_short Etiology of Acute Febrile Illness in the Peruvian Amazon as determined by modular formatted quantitative PCR: A Protocol for RIVERA, a Health Facility-Based Case-Control Study
title_sort etiology of acute febrile illness in the peruvian amazon as determined by modular formatted quantitative pcr: a protocol for rivera, a health facility-based case-control study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081374/
https://www.ncbi.nlm.nih.gov/pubmed/37034707
http://dx.doi.org/10.21203/rs.3.rs-2635774/v1
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