High-Frequency Physiological Measures Predict Post-Admission Surgical Intervention After Severe Traumatic Brain Injury.

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Bibliographic Details
Title: High-Frequency Physiological Measures Predict Post-Admission Surgical Intervention After Severe Traumatic Brain Injury.
Authors: Hinds S; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.; Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA., Robertson C; Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA., Chen J; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA., Yaseen A; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA., Diaz-Arrastia R; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Temkin NR; Department of Neurological Surgery, University of Washington, Seattle, Washington, USA.; Department of Biostatistics, University of Washington, Seattle, Washington, USA., Cruz Navarro J; Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA., DeSantis SM; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA., Yamal JM; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Source: Journal of neurotrauma [J Neurotrauma] 2026 Jun; Vol. 43 (11-12), pp. 926-933. Date of Electronic Publication: 2025 Nov 24.
Publication Type: Journal Article
Journal Info: Publisher: Mary Ann Liebert Country of Publication: United States NLM ID: 8811626 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-9042 (Electronic) Linking ISSN: 08977151 NLM ISO Abbreviation: J Neurotrauma Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1557-9042
DOI:10.1177/08977151251395740