Response to the letter to the editor – Brain Pro-TCT: a prospective, quasi-experimental study on early delirium detection with Delirium Observation Screening Scale versus single-channel EEG after cardiac surgery in patients aged over 70 years
Year: 2025
Type: letter
Abstract: This invited commentary refers to ‘Letter to the editor-Brain Pro-TCT: A prospective, quasi-experimental study on early delirium detection with delirium observation screening scale vs. single-channel EEG after cardiac surgery in patients aged over 70 years’ by C. Haria et al. https://doi.org/10.1093/eurjcn/zvaf128 Dear Editor, We thank Dr. Haria et al. for their interest and careful review of our article.1 We appreciate the opportunity to respond to Dr. Haria et al. regarding our Brain Pro-TCT study, in which we compared the nurse-reported Delirium Observation Screening Scale with single-channel EEG (SC-EEG) after cardiac surgery.2 In line with Dr. Haria et al. and the invited commentary3 on our Brain Pro-TCT study (pronounced ‘Brain Protect’), we agree that delirium detection is a multidisciplinary task involving both nursing and medical staff. Next, family members can provide valuable information about baseline cognitive and behavioural changes of their relatives. Technology-based screening instruments, such as SC-EEG, can support nursing staff in recognizing delirium, particularly when clinical signs are subtle or unclear. A clinical diagnosis of delirium should be confirmed using established methods such as the DSM-5.4 Nurse leadership plays a crucial role in identifying underlying causes of delirium and implementing targeted nursing interventions. Nursing interventions include reorienting the patient using clocks or calendars, displaying family photos, promoting early mobilization, and continuously monitoring the patient using a delirium screening instrument in combination with clinical nursing judgment.
Institutions: Medisch Spectrum Twente, University of Twente
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4414318482