Development and validation of a nomogram-based risk prediction model for unfavorable outcomes in pediatric traumatic brain injury: a retrospective study DOI Creative Commons

Dorothy S.P. Fan,

Meiling Yang, Yizhou Joseph He

et al.

Frontiers in Pediatrics, Journal Year: 2025, Volume and Issue: 13

Published: April 11, 2025

Introduction Pediatric traumatic brain injury (PTBI) is linked to significant disability and mortality. This study aimed identify risk factors for unfavorable outcomes in patients with PTBI develop a predictive model. Methods A retrospective analysis was conducted on treated at the 900th Hospital from September 2021 June 2023. Univariate multivariate regression analyses identified adverse facilitated creation of nomogram. The model's accuracy assessed using Receiver Operating Characteristic (ROC) curves, calibration Decision Curve Analysis (DCA). External validation performed Fujian Children's Hospital. Results Key findings indicated that Glasgow Coma Scale (GCS) score ≤8, subdural hematoma, subarachnoid hemorrhage, coagulopathy were independent factors. nomogram achieved an area under ROC curve 0.947 development cohort 0.834 external cohort, demonstrating good fit. DCA results confirmed enhanced prediction outcomes. Conclusions model offers high early identification outcomes, enabling timely interventions improve quality life PTBI.

Language: Английский

Development and validation of a nomogram-based risk prediction model for unfavorable outcomes in pediatric traumatic brain injury: a retrospective study DOI Creative Commons

Dorothy S.P. Fan,

Meiling Yang, Yizhou Joseph He

et al.

Frontiers in Pediatrics, Journal Year: 2025, Volume and Issue: 13

Published: April 11, 2025

Introduction Pediatric traumatic brain injury (PTBI) is linked to significant disability and mortality. This study aimed identify risk factors for unfavorable outcomes in patients with PTBI develop a predictive model. Methods A retrospective analysis was conducted on treated at the 900th Hospital from September 2021 June 2023. Univariate multivariate regression analyses identified adverse facilitated creation of nomogram. The model's accuracy assessed using Receiver Operating Characteristic (ROC) curves, calibration Decision Curve Analysis (DCA). External validation performed Fujian Children's Hospital. Results Key findings indicated that Glasgow Coma Scale (GCS) score ≤8, subdural hematoma, subarachnoid hemorrhage, coagulopathy were independent factors. nomogram achieved an area under ROC curve 0.947 development cohort 0.834 external cohort, demonstrating good fit. DCA results confirmed enhanced prediction outcomes. Conclusions model offers high early identification outcomes, enabling timely interventions improve quality life PTBI.

Language: Английский

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