Geographical validation of the Smart Triage Model by age group
- Description:
Background: Age is an important risk factor among critically ill children with neonates being the most vulnerable. Clinical prediction models need to account for age differences and must be externally validated and updated, if necessary, to enhance reliability, reproducibility, and generalizability. We externally validated the Smart Triage model using a combined prospective baseline cohort from three hospitals in Uganda and two in Kenya using admission, mortality, and readmission.
Methods: We evaluated model discrimination using area under the receiver-operator curve (AUROC) and visualized calibration plots. In addition, we performed subsetting analysis based on age groups (< 30 days, ≤ 2 months, ≤ 6 months, and < 5 years). We revised the model for neonates (< 1 month) by re-estimating the intercept and coefficients and selected new thresholds to maximize sensitivity and specificity. 11595 participants under the age of five (under-5) were included in the analysis.
Results: The proportion with an outcome ranged from 8.9% in all children under-5 (including neonates) to 26% in the neonatal subset alone. The model achieved good discrimination for children under-5 with AUROC of 0.81 (95% CI: 0.79-0.82) but poor discrimination for neonates with AUROC of 0.62 (95% CI: 0.55-0.70). Sensitivity at the low-risk thresholds (CI) were 0.85 (0.83-0.87) and 0.68 (0.58-0.76) for children under-5 and neonates, respectively. Specificity at the high-risk thresholds were 0.93 (0.93-0.94) and 0.96 (0.94-0.98) for children under-5 and neonates, respectively. After model revision for neonates, we achieved an AUROC of 0.83 (0.79-0.87) with 13% and 41% as the low- and high-risk thresholds, respectively.
Discussion: The Smart Triage model showed good discrimination for children under-5. However, a revised model is recommended for neonates due to their uniqueness in disease susceptibly, host response, and underlying physiological reserve. External validation of the neonatal model and additional external validation of the under-5 model in different contexts is required.
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Notes: This research was supported by the Wellcome Trust Innovator Award (ID: 215695/B/ 19/Z), Grand Challenges Canada (ID: TTS-2008-35944, and BCCHF.- , Wiens, Matthew O, Dunsmuir, DustinInstitute for Global Health, BC Children's and Women's Hospitals, , , , , , , , , , , , , etInstitute for Global Health, BC Children's and Women's Hospitals
- Contributor(s):
- Huxford, Charly et Zhang, Cherri
- Dépôt source:
- UBC Dataverse
- Series:
- Pediatric Sepsis Data CoLab // Clinical studies // Smart Triage // Smart Triage - Manuscripts
- Éditeur(s):
- Borealis
- Accès:
- Restricted
- License:
- CC BY-NC-SA 4.0
- URL:
- https://doi.org/10.5683/SP3/4OI0BI
- Date de publication:
- 2024-06-12
- Sujets (en):
- Mots-clés (en):
- Identificateur:
- https://doi.org/10.5683/SP3/4OI0BI
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