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Postoperative delirium is common in elderly surgical patients and is associated with complications and prolonged hospitalisation. The aim of the RECOVER study is to assess the efficacy of electroencephalo graph (EEG)-transcranial magnetic stimulation (TMS) treatment for the management of postoperative delirium.
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Postoperative delirium(POD), a syndrome characterized by an acute change in attention, awareness and cognition, is one of the most common postoperative complications among elderly patients. Impaired neuronal network connectivity is likely one of the several neurobiological processes that contribute to POD pathogenesis. Recently, continuous theta burst stimulation (cTBS), a pattern of TMS, was demonstrated to improve cognitive function in patients with mild cognitive impairment.Recent research suggests that cTBS has positive effect on improving the connectivity and reorganization of the brain network.This project team conducted a pilot study in the early stage and innovatively applied cTBS to treat postoperative delirium in elderly patients. The results preliminarily elucidate the safety, and feasibility of TMS in treating postoperative delirium in elderly patients.
In order to confirm the effectiveness of EEG-TMS therapy for POD and observe its impact on long-term prognosis, this project will conduct a prospective randomized controlled study to compare TMS therapy with sham stimulation therapy. The study will observe The duration of postoperative delirium during the 7-day intervention period, as well as severity of delirium, the time to successful discharge (defined as the patient surviving outside the hospital for at least 48 hours after discharge), and the 30-day and 90-day survival times, the number of patients receiving salvage drug treatment, and the number of days each patient received salvage drug treatment, the sensitivity, specificity, and predictive value of EEG. The trial will provide new ideas for the prediction and treatment of postoperative delirium in clinic.
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98 participants in 2 patient groups
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Dan Huang, MD
Data sourced from clinicaltrials.gov
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