ArticleBMJ global health2022
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.
Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy of Antibiotic Regimens for Pneumonia in Young Infants Aged 0-59 Days: A Systematic Review.Pediatrics · 2024Pooled it
- Trial
- Admission body temperature and in-hospital mortality in critically ill children with pneumonia: a retrospective cohort study.BMC pediatrics · 2026Article
- Prediction of hospitalisation in young children with pneumonia in Malawi: A machine learning-based approach.PLoS medicine · 2026Article
- Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges.Current opinion in pediatrics · 2026Review
- External Validation of Pediatric Pneumonia and Bronchiolitis Risk Scores to Predict Mortality in Children Hospitalized in Kenya: A Retrospective Cohort Study.The Journal of infectious diseases · 2026Article
- Turning Data into Decisions: Clinically Driven Prognostic Tools for Pediatric Pneumonia.Indian journal of pediatrics · 2025Article
- Advancing approaches to identify young children at risk for post-discharge mortality: Protocol for a prospective observational cohort study in Western Kenya.BMJ paediatrics open · 2025Article
- Can Lung Ultrasound Act as a Diagnosis and Monitoring Tool in Children with Community Acquired Pneumonia? Correlation with Risk Factors, Clinical Indicators and Biologic Results.Journal of clinical medicine · 2025Article
- Development and validation of a novel clinical risk score to predict hypoxaemia in children with pneumonia using the WHO PREPARE dataset.BMJ global health · 2025Article
- Online Tool for Predicting Severe Cases of Childhood Community-Acquired Pneumonia Based on the PIRO Concept.Pediatric pulmonology · 2025Article
- Machine learning approaches to identify neonates and young children at risk for postdischarge mortality in Dar es Salaam, Tanzania and Monrovia, Liberia.BMJ paediatrics open · 2025Observational
- Advancing severity grading for risk-differentiated paediatric pneumonia care.The Lancet. Child & adolescent health · 2025Article
- Narrative review of clinical prediction models for paediatric community acquired pneumonia.Paediatric respiratory reviews · 2025Review
- Paediatric healthcare in Manhiça district through a gender lens: a retrospective analysis of 17 years of morbidity and demographic surveillance data.Journal of global health · 2025Article
- Systematic review of risk assessment tools for post-discharge mortality among children in sub-Saharan Africa.PLOS global public health · 2025Article
- Clinicopathological discrepancies in the diagnoses of childhood causes of death in the CHAMPS network: An analysis of antemortem diagnostic inaccuracies.BMJ paediatrics open · 2024Article
- Procalcitonin and Presepsin as Markers of Infectious Respiratory Diseases in Children: A Scoping Review of the Literature.Children (Basel, Switzerland) · 2024Article
- Clinical applications of artificial intelligence in identification and management of bacterial infection: Systematic review and meta-analysis.Saudi journal of biological sciences · 2024Review
- Observational
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58 authors.
Funding
Abstract
introductionExisting 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.
methodsWe 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.
resultsA 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).
conclusionsThe 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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