ArticleIndian journal of pediatrics2025
Construction and Validation of a Convenient Death Prediction Model for Pediatric Pneumonia Patients in Intensive Care Units.
Article in Indian journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesTo explore the risk factors for mortality in pediatric intensive care unit (PICU) patients with pneumonia and to develop and validate a mortality risk prediction model.
methodsA research cohort was established using a public database from a pediatric intensive care unit (PICU), including data from 467 cases. Univariable and multivariable logistic regression analyses were conducted to identify independent risk factors for mortality in pneumonia patients, and a prediction model was constructed based on these risk levels, resulting in a nomogram.
resultsA total of 351 cases were included for modeling, with 69 in-hospital deaths and 282 in-hospital survivors identified as outcomes. The analysis identified independent risk factors for mortality in pneumonia patients as age in months, white blood cell count, C-reactive protein (CRP), potassium ion concentration, total bilirubin and administration of glucocorticoids. The area under the curve (AUC) for the prediction model was 0.765 (95% CI: 0.705–0.825), with a sensitivity of 0.813 and specificity of 0.578; internal validation demonstrated that the model has good consistency.
conclusionsA convenient model for predicting the mortality risk of children with pneumonia in PICU has been developed, showing a reasonable level of accuracy.
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