| Title: |
Development and validation of a novel clinical risk score to predict hypoxaemia in children with pneumonia using the WHO PREPARE dataset |
| Authors: |
Tan, Rainer; Chandna, Arjun; Colbourn, Tim; Hooli, Shubhada; King, Carina; Lufesi, Norman; McCollum, Eric D; Mwansambo, Charles; Mathew, Joseph L; Cutland, Clare L; Madhi, Shabir A; Nunes, Marta; Basnet, Sudha; Strand, Tor A; O’Grady, Kerry-Ann F; Gessner, Brad; Addo-Yobo, Emmanuel; Chisaka, Noel; Hibberd, Patricia; Jeena, Prakash M; Lozano, Juan M; MaLeod, William B; Patel, Archana; Thea, Donald M; Nguyen, Ngoc Tuong Vy; Lucero, Marilla; Akram uz Zaman, Syed Mohammad; Bhatnagar, Shinjini; Wadhwa, Nitya; Lodha, Rakesh; Aneja, Satinder; Santosham, Mathuram; Awasthi, Shally; Bavdekar, Ashish; Chou, Monidarin; Nymadawa, Pagbajabyn; Pape, Jean William; Paranhos-Baccala, Glaucia; Picot, Valentina S; Rakoto-Andrianarivelo, Mala; Rouzier, Vanessa; Russomando, Graciela; Sylla, Mariam; Vanhems, Philippe; Wang, Jianwei; Libster, Romina; Clara, Alexey W; Beynon, Fenella; Levine, Gillian; Rees, Chris A |
| Contributors: |
Bill & Melinda Gates Foundation |
| Source: |
BMJ Global Health ; volume 10, issue 7, page e017256 ; ISSN 2059-7908 |
| Publisher Information: |
BMJ |
| Publication Year: |
2025 |
| Description: |
Background 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. Methods 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 |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1136/bmjgh-2024-017256 |
| Availability: |
https://doi.org/10.1136/bmjgh-2024-017256; https://syndication.highwire.org/content/doi/10.1136/bmjgh-2024-017256 |
| Rights: |
https://creativecommons.org/licenses/by-nc/3.0/igo/ |
| Accession Number: |
edsbas.50D31251 |
| Database: |
BASE |