Automated pupillometry for detection of delirium in surgical intensive care patients - Summary - MDSpire

Automated pupillometry for detection of delirium in surgical intensive care patients

  • By

  • Patrik Mica

  • Marek Lukes

  • Andrea Pokorna

  • Jan Hruda

  • Lyle Olson

  • Michal Svoboda

  • Ivan Cundrle

  • June 4, 2026

  • 0 min

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Objective:

To evaluate the association between automated pupillometry parameters and delirium in surgical patients admitted to intensive care units (ICU) with high risk of pain.

Key Findings:
  • Among 49 patients, 12% had positive CAM-ICU assessments.
  • Average pupillary latency (LAT avg) was significantly shorter in patients with delirium (p = 0.01).
  • LAT avg was independently associated with delirium after adjusting for sedation depth, level of consciousness, and pain intensity (OR 1.55 per 0.01; 95% CI 1.13–2.13; p = 0.007).
Interpretation:

Remove unsupported implications about the usefulness of automated pupillometry.

Limitations:
  • The study was limited to surgical ICU patients, which may affect generalizability.
  • Potential confounding factors related to pain intensity were not fully explored.
Conclusion:

Revise to reflect only the findings without suggesting it may serve as a tool.

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