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This is a Validation Study study.

Influence of early temperature trajectories on clinical outcomes in traumatic brain injury: a multicenter validation study using machine learning

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Multicenter analysis reveals temperature trajectories influence clinical outcomes in traumatic brain injury, suggesting early intervention is vital.

Temperature trajectories significantly predict clinical outcomes in traumatic brain injury patients, highlighting prognostic potential.
Logistic regression and machine learning models were applied to analyze data from the MIMIC and eICU databases.
Machine learning techniques like Random Forest outperformed traditional severity scores in predicting mortality risk.
Early identification of temperature trajectory subtypes can enable personalized temperature management strategies for high-risk patients.

Zhao et al. (2025) studied this question.

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Multicenter analysis reveals temperature trajectories influence clinical outcomes in traumatic brain injury, suggesting early intervention is vital.