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The Clinical Presentation of Culture-positive and Culture-negative, Quantitative Polymerase Chain Reaction (qPCR)-Attributable Shigellosis in the Global Enteric Multicenter Study and Derivation of a Shigella Severity Score: Implications for Pediatric Shigella Vaccine Trials

Authors :
Pedro L. Alonso
Furqan Kabir
Stephen Becker
Kirkby D Tickell
Sharon M. Tennant
Deanna Toema
Thandavarayan Ramamurthy
M Jahangir Hossain
Yukun Wu
Anna Roose
Jane Juma
Shahnawaz Ahmed
Suzanne Stroup
Dipika Sur
Barry S. Fields
Caroline Ochieng
Debasish Saha
Shahida Qureshi
Sandra Panchalingam
Myron M. Levine
John B. Ochieng
Brenda Kwambana
Martin Antonio
Najeeha Talat Iqbal
Karen L. Kotloff
Melvin Ochieng
Timothy L. McMurry
Anita K. M. Zaidi
Boubou Tamboura
Adil Kalam
Fatima Aziz
Jashim Uddin
Rashidul Haque
Darwin J. Operario
Jie Liu
Jean Gratz
James P. Nataro
Mami Taniuchi
Samba O. Sow
Inacio Mandomando
Joseph Nkeze
James A Platts-Mills
Robert F. Breiman
Anowar Hossain
James H Roberts
Farah Naz Qamar
Sheikh Jarju
Clayton Onyango
Eric R. Houpt
Catherine Okoi
Patricia B Pavlinac
Abu Syed Golam Faruque
Source :
Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

Background Shigella is a leading cause of childhood diarrhea and target for vaccine development. Microbiologic and clinical case definitions are needed for pediatric field vaccine efficacy trials. Methods We compared characteristics of moderate to severe diarrhea (MSD) cases in the Global Enteric Multicenter Study (GEMS) between children with culture positive Shigella to those with culture-negative, quantitative polymerase chain reaction (qPCR)-attributable Shigella (defined by an ipaH gene cycle threshold<br />Molecular methods identified Shigella more commonly than microbiologic culture in younger and stunted children. A simplified clinical score containing dehydration, hospitalization, and diarrhea duration could be used to stratify vaccine trial endpoints by severity based on its ability to predict death.

Details

ISSN :
15376591 and 10584838
Volume :
73
Database :
OpenAIRE
Journal :
Clinical Infectious Diseases
Accession number :
edsair.doi.dedup.....e653cc38844711553bd94a915fbfcb8a