Ultra-early neurological pupil index trajectories and clinical outcomes in acute brain injury - Report - MDSpire

Ultra-early neurological pupil index trajectories and clinical outcomes in acute brain injury

  • By

  • Yong Soo Kim

  • Dong-Wan Kang

  • Hyung Seok Guk

  • Museong Kim

  • Heewon Jeong

  • Huimahn Alex Choi

  • Sung-Min Cho

  • Moon-Ku Han

  • Hee Eun Kim

  • Dong Keon Lee

  • Han-Gil Jeong

  • June 12, 2026

  • 0 min

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Clinical Report: Early Neurological Pupil Index Patterns and Their Relationship with Clinical Outcomes in Acute Brain Injury

Overview

This study investigates the relationship between ultra-early quantitative pupillometry indices and clinical outcomes in patients with acute brain injury. Findings indicate that specific NPi trajectories correlate with ICU mortality and functional outcomes, enhancing predictive accuracy.

Background

Acute brain injuries are significant contributors to morbidity and mortality, with rapid neurological changes occurring within the first 24 hours of admission. Traditional assessments of neurological status, such as pupillary light reflexes, can be unreliable due to variability and sedation effects. Automated pupillometry offers a standardized approach to monitor these changes, potentially improving patient management and outcomes.

Data Highlights

OutcomeNPi Trajectory GroupICU Mortality (%)
Consistently highLow29.8
WorsenedHighHigher
RecoveredNot significantSimilar

Key Findings

  • ICU mortality was 29.8% among the studied patients.
  • Worsened and Consistently low NPi trajectory groups had higher ICU mortality compared to the Consistently high group.
  • NPi trajectories improved predictive accuracy for ICU mortality (AUROC 0.89 vs. 0.80, p < 0.01).
  • Six-month mortality prediction was enhanced with NPi trajectories (AUROC 0.83 vs. 0.76, p = 0.01).
  • NPi trajectories showed a trend towards improved prediction of poor functional outcomes (AUROC 0.87 vs. 0.82, p = 0.06).

Clinical Implications

The findings suggest that incorporating automated pupillometry into clinical practice can enhance risk stratification and outcome prediction in patients with acute brain injury. Early identification of NPi trajectory patterns may guide treatment decisions and improve patient management.

Conclusion

Ultra-early changes in pupillometry indices provide valuable insights into patient prognosis in acute brain injury. This approach may facilitate timely interventions and improve clinical outcomes.

Related Resources & Content

  1. Intensive Care Medicine, 2024 -- Assessing Quantitative Pupillometry Metrics for Neuroprognostic Evaluation Following Out-of-Hospital Cardiac Arrest
  2. Intensive Care Medicine, 2018 -- Comparison of Quantitative and Standard Pupillary Light Reflex Measurements for Early Outcome Prediction in Comatose Patients Following Cardiac Arrest
  3. Characteristics of Intracranial Lesions in Moderate to Severe Traumatic Brain Injury, 2023
  4. Early Indicators of Prognosis in Severe TBI -- Brain Trauma Foundation
  5. Neurological Pupil Index and Intracranial Hypertension in Patients With Acute Brain Injury, 2024
  6. Quantitative Pupillometry Applications in Patients Diagnosed with Pituitary Tumors: A Technical Overview
  7. Brain Trauma Foundation Guidelines
  8. Neurological Pupil Index and Intracranial Hypertension in Patients With Acute Brain Injury: A Secondary Analysis of the ORANGE Study | Trials | JAMA Neurology | JAMA Network
  9. Performance of the quantitative pupillary light reflex and neurological pupil index for predicting neurological outcomes in cardiac arrest patients: A systematic review and meta-analysis - PMC

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