{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Tan R"],"funding":["World Health Organization","Gates Foundation"],"pagination":["e017256"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12232467"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["10(7)"],"pubmed_abstract":["<h4>Background</h4>Hypoxaemia predicts mortality at all levels of care, and appropriate management can reduce preventable deaths. However, pulse oximetry and oxygen therapy remain inaccessible in many primary care health facilities. We aimed to develop and validate a simple risk score comprising commonly evaluated clinical features to predict hypoxaemia in 2-59-month-old children with pneumonia.<h4>Methods</h4>Data from seven studies conducted in five countries from the Pneumonia Research Partnership to Assess WHO Recommendations (PREPARE) dataset were included. Readily available clinical features and demographic variables were used to develop a multivariable logistic regression model to predict hypoxemia (oxygen saturation <90%) at presentation to care. The adjusted log coefficients were "],"journal":["BMJ global health"],"pubmed_title":["Development and validation of a novel clinical risk score to predict hypoxaemia in children with pneumonia using the WHO PREPARE dataset."],"pmcid":["PMC12232467"],"funding_grant_id":["001","INV-007927"],"pubmed_authors":["Patel A","Mwansambo C","Aneja S","Wang J","Akram Uz Zaman SM","Russomando G","Madhi SA","Paranhos-Baccala G","Qazi S","Rakoto-Andrianarivelo M","Picot VS","Strand TA","MaLeod WB","Levine G","Mathew JL","Nisar YB","Lucero M","Cutland CL","Pape JW","World Health Organization PREPARE study group","Libster R","Tan R","Wadhwa N","Chisaka N","Rees CA","Addo-Yobo E","Thea DM","O'Grady KF","Bavdekar A","Clara AW","Nunes M","Lufesi N","Lozano JM","Santosham M","Sylla M","Nguyen NTV","Colbourn T","Chandna A","Neuman MI","Basnet S","Chou M","Jeena PM","Hooli S","Vanhems P","Beynon F","Gessner B","Rouzier V","King C","McCollum ED","Bhatnagar S","Lodha R","Awasthi S","Hibberd P","Nymadawa P"],"additional_accession":[]},"is_claimable":false,"name":"Development and validation of a novel clinical risk score to predict hypoxaemia in children with pneumonia using the WHO PREPARE dataset.","description":"<h4>Background</h4>Hypoxaemia predicts mortality at all levels of care, and appropriate management can reduce preventable deaths. However, pulse oximetry and oxygen therapy remain inaccessible in many primary care health facilities. We aimed to develop and validate a simple risk score comprising commonly evaluated clinical features to predict hypoxaemia in 2-59-month-old children with pneumonia.<h4>Methods</h4>Data from seven studies conducted in five countries from the Pneumonia Research Partnership to Assess WHO Recommendations (PREPARE) dataset were included. Readily available clinical features and demographic variables were used to develop a multivariable logistic regression model to predict hypoxemia (oxygen saturation <90%) at presentation to care. The adjusted log coefficients were ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2026-06-06T13:46:52.268Z","creation":"2026-05-31T03:10:19.273Z"},"accession":"S-EPMC12232467","cross_references":{"pubmed":["40623791"],"doi":["10.1136/bmjgh-2024-017256"]}}