New Clinical Evidence Links Ceribell Point-of-Care EEG to Shorter Hospital Stays and Better Functional Outcomes Compared to Conventional EEG

In This Article:

—Five abstracts presented at the 2024 Neurocritical Care Society Annual Meeting demonstrated the clinical impact of the FDA-cleared Ceribell System and Ceribell's AI-powered Clarity? algorithm—

—Clarity remains first and only device FDA 510(k) cleared for the diagnosis of electrographic status epilepticus—

SUNNYVALE, Calif., Oct. 16, 2024 /PRNewswire/ -- Ceribell, Inc. (Nasdaq: CBLL), a commercial-stage medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions, today announced the presentation of data in five abstracts at the 2024 Neurocritical Care Society (NCS) Annual Meeting being held from October 14-17 in San Diego. The analyses—which include 937 point-of-care EEG cases and recordings—add to the growing body of evidence highlighting the potential of Ceribell's point-of-care EEG (the Ceribell System) and AI-powered algorithm (Clarity?) to reduce hospital length of stay and improve functional outcomes* compared to conventional EEG.

Powered by the Clarity™ algorithm, Ceribell provides continuous brain monitoring and automatically alerts when suspected seizure activity is detected. With real-time access to critical data, clinicians can more quickly detect and treat seizures, leading to improved functional outcomes and shorter hospital stays.
Powered by the Clarity? algorithm, Ceribell provides continuous brain monitoring and automatically alerts when suspected seizure activity is detected. With real-time access to critical data, clinicians can more quickly detect and treat seizures, leading to improved functional outcomes and shorter hospital stays.

Aaron Struck, M.D., assistant professor and director of University of Wisconsin Comprehensive Epilepsy Program and EEG Lab, presented two sub-analyses from the primary SAFER-EEG trial, a multicenter, retrospective study of adult patients monitored with EEG during a hospital stay.

"These two sub-analyses reinforce the importance of early seizure detection and management in improving outcomes for critically ill patients," said Dr. Struck, the principal investigator of the two pivotal sub-analyses. "By providing frontline clinicians with real-time monitoring for seizure detection, the Ceribell System has the potential to redefine how we care for patients at risk of seizures in acute care settings. Enabling earlier detection and intervention can lead to better patient outcomes and shorter hospital stays."

Research presented at NCS included:

  • A sub-analysis of SAFER-EEG that demonstrated shorter median hospital stay and that patients initially monitored with Ceribell were 33% less likely to leave the hospital with significant functional disability.*

  • A second sub-analysis of SAFER-EEG that linked Clarity seizure burden to poor functional outcomes as measured by the modified Rankin Scale.

  • An analysis led by Khalid Alsherbini, M.D., F.N.C.S., from Banner University Medical Center in Phoenix, demonstrated that the Ceribell System provided reliable signal quality for up to 24 hours—the maximum duration examined— suggesting that it supports long-term, continuous monitoring.

  • Another analysis led by Dr. Alsherbini highlighted variability in clinicians' interpretation of EEG data, underscoring the importance of standardizing diagnosis with AI tools such as Clarity.

  • An analysis by Veeresh Kumar Shivamurthy, M.D.,? from Saint Francis Hospital and Medical Center, Trinity Health of New England, demonstrated improved detection of status epilepticus and seizure-related patterns in the latest version of Clarity.