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Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study
INTRODUCTION: In rural and difficult-to-access settings, early and accurate recognition of febrile children at risk of progressing to serious illness could contribute to improved patient outcomes and better resource allocation. This study aims to develop a prognostic clinical prediction tool to assi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839891/ https://www.ncbi.nlm.nih.gov/pubmed/33495264 http://dx.doi.org/10.1136/bmjopen-2020-045826 |
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author | Chandna, Arjun Aderie, Endashaw M Ahmad, Riris Arguni, Eggi Ashley, Elizabeth A Cope, Tanya Dat, Vu Quoc Day, Nicholas P J Dondorp, Arjen M Illanes, Victor De Jesus, Joanne Jimenez, Carolina Kain, Kevin Suy, Keang Koshiaris, Constantinos Lasry, Estrella Mayxay, Mayfong Mondal, Dinesh Perera, Rafael Pongvongsa, Tiengkham Rattanavong, Sayaphet Rekart, Michael Richard-Greenblatt, Melissa Shomik, Mohammad Souvannasing, Phouthalavanh Tallo, Veronica Turner, Claudia Turner, Paul Waithira, Naomi Watson, James A Yosia, Mikhael Burza, Sakib Lubell, Yoel |
author_facet | Chandna, Arjun Aderie, Endashaw M Ahmad, Riris Arguni, Eggi Ashley, Elizabeth A Cope, Tanya Dat, Vu Quoc Day, Nicholas P J Dondorp, Arjen M Illanes, Victor De Jesus, Joanne Jimenez, Carolina Kain, Kevin Suy, Keang Koshiaris, Constantinos Lasry, Estrella Mayxay, Mayfong Mondal, Dinesh Perera, Rafael Pongvongsa, Tiengkham Rattanavong, Sayaphet Rekart, Michael Richard-Greenblatt, Melissa Shomik, Mohammad Souvannasing, Phouthalavanh Tallo, Veronica Turner, Claudia Turner, Paul Waithira, Naomi Watson, James A Yosia, Mikhael Burza, Sakib Lubell, Yoel |
author_sort | Chandna, Arjun |
collection | PubMed |
description | INTRODUCTION: In rural and difficult-to-access settings, early and accurate recognition of febrile children at risk of progressing to serious illness could contribute to improved patient outcomes and better resource allocation. This study aims to develop a prognostic clinical prediction tool to assist community healthcare providers identify febrile children who might benefit from referral or admission for facility-based medical care. METHODS AND ANALYSIS: This prospective observational study will recruit at least 4900 paediatric inpatients and outpatients under the age of 5 years presenting with an acute febrile illness to seven hospitals in six countries across Asia. A venous blood sample and nasopharyngeal swab is collected from each participant and detailed clinical data recorded at presentation, and each day for the first 48 hours of admission for inpatients. Multianalyte assays are performed at reference laboratories to measure a panel of host biomarkers, as well as targeted aetiological investigations for common bacterial and viral pathogens. Clinical outcome is ascertained on day 2 and day 28. Presenting syndromes, clinical outcomes and aetiology of acute febrile illness will be described and compared across sites. Following the latest guidance in prediction model building, a prognostic clinical prediction model, combining simple clinical features and measurements of host biomarkers, will be derived and geographically externally validated. The performance of the model will be evaluated in specific presenting clinical syndromes and fever aetiologies. ETHICS AND DISSEMINATION: The study has received approval from all relevant international, national and institutional ethics committees. Written informed consent is provided by the caretaker of all participants. Results will be shared with local and national stakeholders, and disseminated via peer-reviewed open-access journals and scientific meetings. TRIAL REGISTRATION NUMBER: NCT04285021. |
format | Online Article Text |
id | pubmed-7839891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-78398912021-02-04 Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study Chandna, Arjun Aderie, Endashaw M Ahmad, Riris Arguni, Eggi Ashley, Elizabeth A Cope, Tanya Dat, Vu Quoc Day, Nicholas P J Dondorp, Arjen M Illanes, Victor De Jesus, Joanne Jimenez, Carolina Kain, Kevin Suy, Keang Koshiaris, Constantinos Lasry, Estrella Mayxay, Mayfong Mondal, Dinesh Perera, Rafael Pongvongsa, Tiengkham Rattanavong, Sayaphet Rekart, Michael Richard-Greenblatt, Melissa Shomik, Mohammad Souvannasing, Phouthalavanh Tallo, Veronica Turner, Claudia Turner, Paul Waithira, Naomi Watson, James A Yosia, Mikhael Burza, Sakib Lubell, Yoel BMJ Open Global Health INTRODUCTION: In rural and difficult-to-access settings, early and accurate recognition of febrile children at risk of progressing to serious illness could contribute to improved patient outcomes and better resource allocation. This study aims to develop a prognostic clinical prediction tool to assist community healthcare providers identify febrile children who might benefit from referral or admission for facility-based medical care. METHODS AND ANALYSIS: This prospective observational study will recruit at least 4900 paediatric inpatients and outpatients under the age of 5 years presenting with an acute febrile illness to seven hospitals in six countries across Asia. A venous blood sample and nasopharyngeal swab is collected from each participant and detailed clinical data recorded at presentation, and each day for the first 48 hours of admission for inpatients. Multianalyte assays are performed at reference laboratories to measure a panel of host biomarkers, as well as targeted aetiological investigations for common bacterial and viral pathogens. Clinical outcome is ascertained on day 2 and day 28. Presenting syndromes, clinical outcomes and aetiology of acute febrile illness will be described and compared across sites. Following the latest guidance in prediction model building, a prognostic clinical prediction model, combining simple clinical features and measurements of host biomarkers, will be derived and geographically externally validated. The performance of the model will be evaluated in specific presenting clinical syndromes and fever aetiologies. ETHICS AND DISSEMINATION: The study has received approval from all relevant international, national and institutional ethics committees. Written informed consent is provided by the caretaker of all participants. Results will be shared with local and national stakeholders, and disseminated via peer-reviewed open-access journals and scientific meetings. TRIAL REGISTRATION NUMBER: NCT04285021. BMJ Publishing Group 2021-01-25 /pmc/articles/PMC7839891/ /pubmed/33495264 http://dx.doi.org/10.1136/bmjopen-2020-045826 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Global Health Chandna, Arjun Aderie, Endashaw M Ahmad, Riris Arguni, Eggi Ashley, Elizabeth A Cope, Tanya Dat, Vu Quoc Day, Nicholas P J Dondorp, Arjen M Illanes, Victor De Jesus, Joanne Jimenez, Carolina Kain, Kevin Suy, Keang Koshiaris, Constantinos Lasry, Estrella Mayxay, Mayfong Mondal, Dinesh Perera, Rafael Pongvongsa, Tiengkham Rattanavong, Sayaphet Rekart, Michael Richard-Greenblatt, Melissa Shomik, Mohammad Souvannasing, Phouthalavanh Tallo, Veronica Turner, Claudia Turner, Paul Waithira, Naomi Watson, James A Yosia, Mikhael Burza, Sakib Lubell, Yoel Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study |
title | Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study |
title_full | Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study |
title_fullStr | Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study |
title_full_unstemmed | Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study |
title_short | Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study |
title_sort | prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study |
topic | Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839891/ https://www.ncbi.nlm.nih.gov/pubmed/33495264 http://dx.doi.org/10.1136/bmjopen-2020-045826 |
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