Multiple Electroencephalogram Recordings for Monitoring the Evolution of Neurological Complications during Baclofen Withdrawal Syndrome. (7th March 2022)

• Record Type: Journal Article
• Authors: Scarpino, Maenia; Lanzo, Giovanni; Chelazzi, Cosimo; Maiorelli, Antonio; Bessi, Valentina; Focardi, Martina; Lolli, Francesco; Grippo, Antonello
• Other Names: Natoli Silvia Academic Editor.
• Is Part Of: Case reports in critical care. Volume 2022(2022)
• Publication Date: 2022-03-07
• Subjects: Critical care medicine -- Periodicals; Emergency medicine -- Periodicals; Medical emergencies -- Periodicals; 616.02805
• DOI: 10.1155/2022/4245667
• Languages: English
• ISSNs: 2090-6420

Abstract

Abstract : Baclofen withdrawal syndrome represents a clinical emergency that can lead to life-threatening complications. It is often a diagnostic challenge because of its nonspecific nature of presentation and degree of symptom overlap with other clinical diseases. Electroencephalography (EEG) might provide important supporting evidence when neurological complications are involved. We present the case of a 55-year-old woman with sudden onset of motor manifestations at the limbs and an altered mental status 24 hours after cessation of intrathecal baclofen administration, following the removal of the pump due to infection, in whom a computed tomography did not show any acute-onset brain injuries, and multiple EEG recordings were performed. The first EEG showed the presence of bilateral sharply contoured waves, in the absence of epileptic discharges and seizures. No correlation between motor manifestations and EEG changes were detected. This EEG pattern was considered to be the expression of an overexcitation of the central nervous system (CNS) due to the loss of baclofen inhibitory effects, excluding an epileptic origin of motor manifestations. Another EEG, performed 24 hours later, showed the presence of triphasic waves with severe generalised slowing, suggesting the presence of encephalopathy. The last EEG, performed 48 hours after the previous recording, when a recovered state of consciousness was already present, showed regression of the triphasic waves and a reorganisation of the background activity. In our case, repeated EEG evaluation allowed monitoring the evolution of acute encephalopathy developed during baclofen withdrawal syndrome, from the initial phase of CNS hyperexcitability, through the phase of metabolic encephalopathy, and to its resolution. This modality allowed for optimising the diagnostic-therapeutic management of the patient during her stay in the intensive care unit.