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Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...

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Related Experiment Video

Updated: May 24, 2025

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

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Identifying In-Hospital Risk Factors for Post-liver Transplant Seizures.

Franco E Appiani^1,2, Jesica A Pszenyckyj², Lucas Muller²

¹Department of Neurology, Hospital CIMA Sanitas, Barcelona, ESP.

|March 3, 2025

Summary

This study identified key factors for seizures after liver transplantation (LT), developing a predictive model to help clinicians manage risks. The model accurately predicts post-LT seizures, aiming to improve patient neurological outcomes.

Keywords:

liver transplantation neurological complications perioperative risk factors postoperative seizures predictive modeling

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Area of Science:

Hepatology
Neurology
Transplantation Medicine

Background:

Liver transplantation (LT) is critical for end-stage liver disease but faces neurological complications like seizures.
Identifying perioperative seizure risk factors is crucial for tailoring management and improving neurological outcomes post-LT.

Purpose of the Study:

To identify perioperative factors associated with seizures following liver transplantation (LT).
To develop and validate a predictive risk model for post-LT seizures using in-hospital factors.

Main Methods:

Retrospective observational study of 376 adult LT patients (2009-2019).
Data collected on demographic, clinical, neurological, and liver-related variables during the perioperative period (7 days pre-LT to 30 days post-LT).
Developed a predictive risk score using seven perioperative variables and evaluated its performance (accuracy, AUC).

Main Results:

40 patients (10.6%) experienced seizures within 30 days post-LT.
Key predictive factors included age, history of portosystemic encephalopathy (PSE), pre-LT epilepsy, low hemoglobin, procedure duration, cold ischemia time, and intraoperative transfusion.
The developed risk score achieved an accuracy of 0.72 and an Area Under the Curve (AUC) of 0.90.

Conclusions:

Identified significant in-hospital factors linked to post-LT seizures.
A predictive risk model based on clinical and surgical variables demonstrates strong discriminative ability (AUC 0.90) for immediate post-LT seizures.
External validation via prospective multicenter studies is recommended to enhance clinical applicability of the risk score.