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Derivation and validation of a novel risk assessment tool to identify children aged 2-59 months at risk of hospitalised pneumonia-related mortality in 20 countries

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  • 05/21/2025
Type of Material
Authors
    Christopher Rees, Emory UniversityTim Colbourn, University College LondonShubhada Hooli, Texas Childrens HospitalCarina King, Karolinska InstitutetNorman Lufesi, Government of Malawi Ministry of HealthEric D McCollum, Johns Hopkins Sch MedCharles Mwansambo, Government of Malawi Ministry of HealthClare Cutland, University of WitwatersrandShabir A Madhi, University of WitwatersrandMarta Nunes, University of WitwatersrandJospeh L Matthew, Postgraduate Institute of Medical Education and ResearchEmmanuel Addo-Yobo, Komfo Anokye Teaching HospitalNoel Chisaka, The World BankMumtaz Hassan, Children’s HospitalPatricia L Hibberd, Boston UniversityPrakash M Jeena, University of Kwazulu NatalJuan M Lozano, Florida International UniversityWilliam B MacLeod, Boston UniversityArchana Patel, Nagpur and Datta Meghe Institute of Medical SciencesDonald M Thea, Boston UniversityNgoc Tuong Vy Nguyen, Children Hospital 1Cissy B Kartasasmita, Universitas PadjadjaranMarilla Lucero, Res Inst Trop MedShally Awasthi, King George's Medical UniversityAshish Bavdekar, KEM Hospital PuneMonidarin Chou, University of Health Sciences, CambodiaPagbajabyn Nymadawa, Mongolian Academy of SciencesJean-William Pape, GHESKIOGlaucia Paranhos-Baccala, Fondation Merieux, LyonValentina S Picot, Fondation MerieuxMala Rakoto-Andrianarivelo, Charles MerieuxVanessa Rouzier, GHESKIOGraciela Russomando, Instituto de Investigaciones en Ciencias de la SaludMariam Sylla, Gabriel Touré University Hospital CenterPhilippe Vanhems, Hospices Civils de LyonJianwei Wang, Chinese Academy of Medical Sciences & Peking UnionRai Asghar, Rawalpindi Medical CollegeSalem Banajeh, Sana’a UniversityImran Iqbal, Nishtar Medical CollegeIrene Maulen-Radovan, Instituto Nactional de PediatriaGreta Mino-Leon, Children's Hospital Dr Francisco de Ycaza BustamanteSamir K Saha, Dhaka Shishu HospitalMathuram Santosham, Johns Hopkins UniversitySunit Singhi, MedantaSudha Basnet, Tribhuvan University Institute of MedicineTor A Strand, Innlandet Hospital TrustShinjin Bhatnagar, Translational Health Science and Technology InstituteNitya Wadhwa, Translational Health Science and Technology InstituteRakesh Lodha, All India Institute of Medical SciencesSatinder Aneja, Sharda UniversityAlexey W Clara, Centers for Disease Control and Prevention, AtlantaHarry Campbell, University of EdinburghHarish Nair, University of EdinburghJennifer Falconer, University of EdinburghShamim A Qazi, World Health OrganizationYasir B Nisar, World Health OrganizationMark Neuman, Harvard Medical School
Language
  • English
Date
  • 2022-04-01
Publisher
  • BMJ PUBLISHING GROUP
Publication Version
Copyright Statement
  • © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
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Title of Journal or Parent Work
Volume
  • 7
Issue
  • 4
Grant/Funding Information
  • This study was funded by the Bill & Melinda Gates Foundation (#INV-007927) through a grant to the WHO to SQ. The funders had no role in the study design or in the collection, analysis or interpretation of the data. The funders did not write the report and had no role in the decision to submit the paper for publication.
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Abstract
  • Introduction Existing risk assessment tools to identify children at risk of hospitalised pneumonia-related mortality have shown suboptimal discriminatory value during external validation. Our objective was to derive and validate a novel risk assessment tool to identify children aged 2-59 months at risk of hospitalised pneumonia-related mortality across various settings. Methods We used primary, baseline, patient-level data from 11 studies, including children evaluated for pneumonia in 20 low-income and middle-income countries. Patients with complete data were included in a logistic regression model to assess the association of candidate variables with the outcome hospitalised pneumonia-related mortality. Adjusted log coefficients were calculated for each candidate variable and assigned weighted points to derive the Pneumonia Research Partnership to Assess WHO Recommendations (PREPARE) risk assessment tool. We used bootstrapped selection with 200 repetitions to internally validate the PREPARE risk assessment tool. Results A total of 27 388 children were included in the analysis (mean age 14.0 months, pneumonia-related case fatality ratio 3.1%). The PREPARE risk assessment tool included patient age, sex, weight-for-age z-score, body temperature, respiratory rate, unconsciousness or decreased level of consciousness, convulsions, cyanosis and hypoxaemia at baseline. The PREPARE risk assessment tool had good discriminatory value when internally validated (area under the curve 0.83, 95% CI 0.81 to 0.84). Conclusions The PREPARE risk assessment tool had good discriminatory ability for identifying children at risk of hospitalised pneumonia-related mortality in a large, geographically diverse dataset. After external validation, this tool may be implemented in various settings to identify children at risk of hospitalised pneumonia-related mortality.
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Keywords
Research Categories
  • Health Sciences, Pathology
  • Health Sciences, Medicine and Surgery

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