Automated pupillometry for detection of delirium in surgical intensive care patients - Scorecard - 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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Clinical Scorecard: Utilizing Automated Pupillometry to Identify Delirium in Patients in Surgical Intensive Care Units

At a Glance

CategoryDetail
Condition
Key MechanismsAutomated pupillometry parameters, particularly pupillary latency, are associated with delirium (source needed).
Target Population
Care Setting

Key Highlights

  • Automated pupillometry may help detect delirium in surgical ICU patients (source needed).

Guideline-Based Recommendations

Diagnosis

    Management

    • Monitor pupillometric parameters alongside pain intensity scores (source needed).

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        Automated pupillometry could be considered for delirium diagnosis (rephrase to remove unsupported claim).

        Clinical Best Practices

        • Conduct regular delirium screening using validated tools (source needed).

        Related Resources & Content

        Original Source(s)

        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

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