BACKGROUND: Delirium is a common neurological complication in patients admitted to the intensive care unit (ICU) after moderate to severe traumatic brain injury (TBI). Although current clinical guidelines prioritize delirium prevention, no specific tool is tailored to detect early signs of delirium in TBI patients. This preliminary 2-phase observational study investigated the correlation between the pupillary light reflex (PLR), measured with a pupillometer during mechanical ventilation, and the development of postextubation delirium in TBI patients. METHODS: A convenience sample of 26 adults with moderate to severe TBI under mechanical ventilation was recruited during their ICU stay. In phase I, PLR measurements were performed in the first 3 days of ICU admission using automated infrared pupillometry. In phase II, 2 raters independently extracted delirium data in the 72 hours post extubation period from medical records. Delirium was confirmed with a documented medical diagnosis. Point-biserial correlations ( rpb ) were used to examine the association between PLR scores and the presence of postextubation delirium. Student t tests were also performed to compare mean PLR scores between patients with and without delirium. RESULTS: Ten TBI patients (38%) were diagnosed with postextubation delirium, whereas 16 (62%) were not. Significant correlations between delirium and 2 PLR variables were found: pupil constriction percentage ( rpb (24) = -0.526, P = .006) and constriction velocity ( rpb (24) = -0.485, P = .012). The t test also revealed a significant difference in constriction percentage and velocity scores between TBI patients with and without delirium ( P ≤ .01). CONCLUSION: Our findings suggest that the use of pupillometry in the first 3 days of mechanical ventilation during an ICU stay may help identify TBI patients at risk for delirium after extubation. Although further research is necessary to support its validity, this technological tool may enable ICU nurses to better screen TBI patients for delirium and prevent its development.
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http://dx.doi.org/10.1097/JNN.0000000000000763 | DOI Listing |
Diagnostics (Basel)
December 2024
Department of Neurosurgery, ChiaLi Chi Mei Medical Hospital, Tainan 722, Taiwan.
Background: Traumatic brain injury (TBI) research often focuses on mortality rates or functional recovery, yet the critical need for long-term care among patients dependent on institutional or Respiratory Care Ward (RCW) support remains underexplored. This study aims to address this gap by employing machine learning techniques to develop and validate predictive models that analyze the prognosis of this patient population.
Method: Retrospective data from electronic medical records at Chi Mei Medical Center, encompassing 2020 TBI patients admitted to the ICU between January 2016 and December 2021, were collected.
Sci Rep
January 2025
Department of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Republic of Korea.
Health-related behavioral changes may occur following traumatic brain injury. We focused on understanding the impact of mild traumatic brain injury (TBI) on health-related behaviors and identifying factors associated with such changes. We utilized health check-up records from the Korean National Health Insurance Service database spanning January 1, 2009, to December 31, 2017.
View Article and Find Full Text PDFInjury
January 2025
Department of Orthopaedics, Kalinga Institute of Medical Sciences, Bhubaneswar, India.
Background: Falls are some of the most common childhood injuries. However, for vulnerable children in low- and middle-income countries (LMICs) such as India, mortality from a fall is nearly three times that of high-income countries. Despite fall being a leading cause of paediatric injury, detailed data from LMICs remain sparse.
View Article and Find Full Text PDFCells
December 2024
Institute of Anaesthesiologic Pathophysiology and Process Development, University Hospital Ulm, Helmholtzstrasse 8/1, 89081 Ulm, Germany.
Brain Inj
January 2025
Centers for Disease Control and Prevention (CDC), National Center for Injury Prevention and Control (NCIPC), Division of Injury Prevention, Atlanta, Georgia, USA.
Objectives: This manuscript describes traumatic brain injury (TBI)-related mortality in the United States during 2021, by geography, sociodemographic characteristics, mechanism of injury, and injury intent.
Method: Multivariable modeling of TBI mortality was performed to assess the simultaneous effect of multiple factors (geographic region, sex, race and ethnicity, and age) included in the model. Authors analyzed multiple-cause-of-death data from the National Vital Statistics System and included records when an International Classification of Diseases, Tenth Revision (ICD-10) underlying cause of death injury code, and a TBI-related ICD-10 diagnosis code were both listed.
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