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Endoscopic submucosal dissection (ESD) has become widely used as a minimally invasive alternative for the resection of early-stage gastrointestinal neoplasms. Due to the lengthy procedure time and intense pain caused by stretching, cutting, and dissecting the gastric wall during ESD, a deeper level of sedation is recommended compared to traditional endoscopic procedures (1). While ensuring adequate patient immobilisation during ESD, preserving respiratory function and rapid recovery are important clinical goals.
Total intravenous anaesthesia (TIVA) is an alternative method to inhalation anaesthesia, achieved through the combination of agents such as propofol and remifentanil. TIVA applications can be performed using manual or target-controlled infusion (TCI) systems. TCI systems aim to achieve and maintain the targeted plasma or effect site concentration based on pharmacokinetic models. These systems have been shown to provide advantages such as more stable depth of sedation during endoscopy, less haemodynamic fluctuation, and faster recovery (2-4).
Preserving spontaneous breathing is preferred during ESD procedures, which requires careful monitoring of respiration. The Capnostream® device records four variables (SpO₂, RR, non-invasive EtCO₂, heart rate) every 30 seconds via a nasal cannula and integrates them into a single, dimensionless value called the integrated pulmonary index (IPI). The IPI can range from 1 to 10, with 4 and below requiring intervention and 8 to 10 representing the normal range. Furthermore, the use of the bispectral index (BIS) enables objective monitoring of anaesthesia depth by analysing EEG waves and can increase the safety of the recovery process (5).
This study aims to compare the effects of manual TIVA and TCI applications on recovery time, BIS, and respiratory parameters during ESD procedures in the stomach or colon region performed under sedation in the endoscopy unit. The findings will contribute to the safer and more effective planning of sedation applications.
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50 participants in 2 patient groups
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Dilara Göçmen, Asst Prof
Data sourced from clinicaltrials.gov
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