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External validation of clinical severity scores to guide referral of paediatric acute respiratory infections in resource-limited primary care settings.
Chandna, Arjun; Mwandigha, Lazaro; Koshiaris, Constantinos; Limmathurotsakul, Direk; Nosten, Francois; Lubell, Yoel; Perera-Salazar, Rafael; Turner, Claudia; Turner, Paul.
Afiliação
  • Chandna A; Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia. arjun@tropmedres.ac.
  • Mwandigha L; Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK. arjun@tropmedres.ac.
  • Koshiaris C; Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Limmathurotsakul D; Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Nosten F; Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Lubell Y; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Perera-Salazar R; Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Turner C; Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Turner P; Shoklo Malaria Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.
Sci Rep ; 13(1): 19026, 2023 11 03.
Article em En | MEDLINE | ID: mdl-37923813
ABSTRACT
Accurate and reliable guidelines for referral of children from resource-limited primary care settings are lacking. We identified three practicable paediatric severity scores (the Liverpool quick Sequential Organ Failure Assessment (LqSOFA), the quick Pediatric Logistic Organ Dysfunction-2, and the modified Systemic Inflammatory Response Syndrome) and externally validated their performance in young children presenting with acute respiratory infections (ARIs) to a primary care clinic located within a refugee camp on the Thailand-Myanmar border. This secondary analysis of data from a longitudinal birth cohort study consisted of 3010 ARI presentations in children aged ≤ 24 months. The primary outcome was receipt of supplemental oxygen. We externally validated the discrimination, calibration, and net-benefit of the scores, and quantified gains in performance that might be expected if they were deployed as simple clinical prediction models, and updated to include nutritional status and respiratory distress. 104/3,010 (3.5%) presentations met the primary outcome. The LqSOFA score demonstrated the best discrimination (AUC 0.84; 95% CI 0.79-0.89) and achieved a sensitivity and specificity > 0.80. Converting the scores into clinical prediction models improved performance, resulting in ~ 20% fewer unnecessary referrals and ~ 30-50% fewer children incorrectly managed in the community. The LqSOFA score is a promising triage tool for young children presenting with ARIs in resource-limited primary care settings. Where feasible, deploying the score as a simple clinical prediction model might enable more accurate and nuanced risk stratification, increasing applicability across a wider range of contexts.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Modelos Estatísticos Limite: Child / Child, preschool / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Modelos Estatísticos Limite: Child / Child, preschool / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article