Development and validation of a clinical nomogram for predicting 30-day in-hospital mortality in children with moderate-to-severe traumatic brain injury - Summary - MDSpire
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Development and validation of a clinical nomogram for predicting 30-day in-hospital mortality in children with moderate-to-severe traumatic brain injury
To develop and validate a clinical prediction model to estimate the 30-day in-hospital mortality in pediatric patients with moderate-to-severe traumatic brain injury (msTBI), emphasizing the importance of early identification of high-risk cases.
Key Findings:
Median age of the cohort was 5.17 years (IQR, 2.75–9.33), with 101 females and 188 males.
Identified four independent predictors: Glasgow Coma Scale score, lactic acid, albumin, and trauma-induced coagulopathy.
Model showed AUC of 0.898 (95% CI: 0.896, 0.899), indicating good predictive performance.
Hosmer-Lemeshow test yielded a non-significant P-value (P = 0.475), supporting good model calibration.
Interpretation:
The developed nomogram is a reliable clinical tool for predicting 30-day in-hospital mortality in children with msTBI, with significant implications for clinical decision-making.
Limitations:
Retrospective nature may introduce bias, particularly in patient selection.
Findings may not be generalizable beyond the studied cohort.
Conclusion:
The nomogram may support early risk stratification and assist clinicians in making informed treatment decisions, enhancing patient care.
In a multicenter registry study, genetic diagnoses were associated with substantially lower cognitive, language, and motor scores; while birth weight, surgical timing, hospitalization burden, and caregiver education were also associated with outcomes.
