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Background Although previous studies have reported various predictive indicators of diffuse axonal injury (DAI), a consensus regarding the gold-standard predictive indicator has not yet been reached. The usefulness of automated pupillometry in patients with consciousness disorders has been widely reported; however, there are few reports of its use in patients with DAI. We thus investigated the usefulness of pupillary findings for predicting prognosis in DAI.Methods We included patients with a diagnosis of DAI admitted to our center from 1 June 2021 to 30 June 2022. Pupillary findings in both eyes were quantitatively measured by automated pupillometry every 2 hours after admission. We then examined the correlations between automated pupillometry values, patient characteristics, and outcomes such as the Glasgow Outcome Scale Extended (GOSE) score 6 months after injury and the time to follow commands.Results Of the 22 included patients, 5 presented oculomotor nerve palsy. Oculomotor nerve palsy was correlated with all outcomes. In contrast, Marshall computed tomography classification, injury severity score, and DAI grade were correlated with few outcomes. Some automated pupillometry values were significantly correlated with GOSE at 6 months after injury, and many values from the first 24 hours of measurement were correlated with the time to follow commands. In general, these results were not affected by adjusting for the sedation period, injury severity score, or Marshall computed tomography classification. A subgroup analysis of patients without oculomotor nerve palsy revealed that many automated pupillometry values from the first 24 hours of measurement were significantly correlated with most outcomes. The cutoff values that differentiated good prognosis (GOSE 5–8) from poor prognosis (GOSE 1–4) were a constriction velocity of 1.43 (area under the curve [AUC] = 0.81 [0.62–1], p = 0.037) and a maximum constriction velocity of 2.345 (AUC = 0.78 [0.58–0.98], p = 0.04). The cutoff values that differentiated the time to follow commands into within 7 days and 8 days or over were a percentage of constriction of 8 (AUC = 0.89 [0.68–1], p = 0.011), a constriction velocity of 0.63 (AUC = 0.92 [0.78–1], p = 0.013), a maximum constriction velocity of 0.855 (AUC = 0.9 [0.74–1], p = 0.017), and an average dilation velocity of 0.175 (AUC = 0.95 [0.86–1], p = 0.018).Conclusions Pupillary findings in DAI were a strong predictive indicator of prognosis. Quantitative measurements using automated pupillometry may facilitate the prediction of DAI prognosis.
Background Although previous studies have reported various predictive indicators of diffuse axonal injury (DAI), a consensus regarding the gold-standard predictive indicator has not yet been reached. The usefulness of automated pupillometry in patients with consciousness disorders has been widely reported; however, there are few reports of its use in patients with DAI. We thus investigated the usefulness of pupillary findings for predicting prognosis in DAI.Methods We included patients with a diagnosis of DAI admitted to our center from 1 June 2021 to 30 June 2022. Pupillary findings in both eyes were quantitatively measured by automated pupillometry every 2 hours after admission. We then examined the correlations between automated pupillometry values, patient characteristics, and outcomes such as the Glasgow Outcome Scale Extended (GOSE) score 6 months after injury and the time to follow commands.Results Of the 22 included patients, 5 presented oculomotor nerve palsy. Oculomotor nerve palsy was correlated with all outcomes. In contrast, Marshall computed tomography classification, injury severity score, and DAI grade were correlated with few outcomes. Some automated pupillometry values were significantly correlated with GOSE at 6 months after injury, and many values from the first 24 hours of measurement were correlated with the time to follow commands. In general, these results were not affected by adjusting for the sedation period, injury severity score, or Marshall computed tomography classification. A subgroup analysis of patients without oculomotor nerve palsy revealed that many automated pupillometry values from the first 24 hours of measurement were significantly correlated with most outcomes. The cutoff values that differentiated good prognosis (GOSE 5–8) from poor prognosis (GOSE 1–4) were a constriction velocity of 1.43 (area under the curve [AUC] = 0.81 [0.62–1], p = 0.037) and a maximum constriction velocity of 2.345 (AUC = 0.78 [0.58–0.98], p = 0.04). The cutoff values that differentiated the time to follow commands into within 7 days and 8 days or over were a percentage of constriction of 8 (AUC = 0.89 [0.68–1], p = 0.011), a constriction velocity of 0.63 (AUC = 0.92 [0.78–1], p = 0.013), a maximum constriction velocity of 0.855 (AUC = 0.9 [0.74–1], p = 0.017), and an average dilation velocity of 0.175 (AUC = 0.95 [0.86–1], p = 0.018).Conclusions Pupillary findings in DAI were a strong predictive indicator of prognosis. Quantitative measurements using automated pupillometry may facilitate the prediction of DAI prognosis.
Diffuse axonal injury (DAI) occurs in approximately 40% to 50% of patients with severe traumatic brain injury (TBI) [1][2][3][4]. DAI is a shear injury caused by mechanical force and occurs as axial damage [5,6]. DAI contributes to increasing the duration of unconsciousness, mortality, and disability in patients with TBI [2,7]. Identifying DAI in patients with TBI helps predict the recovery of consciousness and clinical outcomes [2][3][4]8]. Furthermore, patients with DAI are often accompanied by damage in other body parts and mixed with several forms of intracranial hemorrhage in a complicated state. For these reasons, the outcome of patients with Objective: Diffuse axonal injury (DAI) is a severe form of traumatic brain injury (TBI) caused by shearing damage to the axons of long connecting fibers. In this study, we evaluated the clinical features according to DAI grading and identified prognostic factors. Methods: The study involved patients diagnosed with DAI using magnetic resonance imaging within 2 weeks of being hospitalized for TBI from January 2019 to December 2019. Patients who received surgical treatments, such as craniectomy or craniotomy for hematoma evacuation or an external ventricular drain, were excluded. To determine prognostic factors, we retrospectively reviewed the demographic, clinical, and radiological characteristics of 41 patients. Patients' outcomes were analyzed using the Glasgow Outcome Scale within 6 months of the traumatic injury. Results: Using a multivariate logistic regression model, unfavorable outcomes were significantly associated with lower Glasgow Coma Scale score (P=0.03), DAI grade III (P=0.03), DAI located at the stem (P=0.04), and the presence of 7 or more DAIs (P=0.03). However, DAI grade II was not a significant prognostic factor (P=0.76). Furthermore, the rates of hospital-acquired infection (P=0.04) and tracheostomy (P=0.03) significantly increased according to DAI grade. Conclusion:Our results provide valuable information on prognostic predictors in patients with TBI.
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