View clinical trials related to Postoperative Delirium.
Filter by:This study is a prospective, single-center, randomized controlled trial to compare whether applying nutritional supplementation therapy before and after surgery in elderly patients aged 65 years or older undergoing non-cardiac surgery can reduce the incidence of postoperative delirium.
This is a prospective cohort study to explore the differences of resting-state functional magnetic resonance imaging (fMRI) between elderly gastrointestinal neoplasms patients with postoperative delirium (POD) who either develop or do not develop long-term postoperative neurocognitive disorders (pNCD).
This study is a prospective cohort study to investigate the differences in resting-state functional magnetic resonance imaging (fMRI) between elderly spinal surgery patients with postoperative delirium (POD) who either develop or do not develop long-term postoperative neurocognitive disorders (pNCD).
The project aims to improve patient safety, reduce barriers to the implementation of current guideline recommendations, reduce workload in clinics, increase efficiency in work processes and close gaps in care.
Postoperative delirium is one of the common complications in the older aldults after surgery, which can lead to longer hospita stay，memory loss and reduced quality of life. There is currently no specific treatment. Therefore, it is important to prevent the occurrence of postoperative delirium. This study investigated the effect of intranasal insulin administration on the prevention of postoperative delirium and compared different doses of insulin to find a safe and acceptable method for preventing delirium.
The purpose of this study is to determine whether giving omega-3 fatty acids prior to and after cardiac bypass surgeries decreases the incidence of postoperative delirium in patients aged 65 and over.
To investigate the relationship between POD, TGF-β and INS-PI3K-AKT signaling pathway related proteins (ADNP, MAP6, PGC-1α) in diabetic patients
The incidence of postoperative delirium in elderly patients is high, which can lead to long-term postoperative neurocognitive disorders. Its high risk factors are not yet clear. At present, there is a lack of early diagnosis and alarm technology for perioperative neurocognitive disorders, which can not achieve early intervention and effective treatment. By artificial intelligence and autonomously evolutionary neural network algorithm, relying on multi-source clinical big data, we explored the use of Bayesian network to optimize the anesthesia decision-making system in enhanced recovery after surgery, and established risk prediction model for perioperative critical events. It is expected that this method will also help to establish a risk prediction model for postoperative delirium and long-term postoperative neurocognitive disorders. This project plans to collect the perioperative sensitive parameters of anesthesia machine, multi-parameter monitor, EEG monitor,fMRI and HIS system, to explore the evolution process of data characteristics by feature fusion.We also plan to quickly screen key perioperative risk characteristics of postoperative delirium from massive clinical data through feature selection, to explore the high risk factors of long-term postoperative neurocognitive disorders developing from postoperative delirium. Finally, with multi-center intelligent analysis，the risk prediction model of postoperative delirium and long-term postoperative neurocognitive disorders will be constructed.
Participants aged 4-10 years (92 patients), who came to the Hospital Operating Room at the University Faculty of Dentistry with an indication for dental treatment under general anesthesia due to lack of cooperation, will be selected by simple randomization and divided into 2 groups. One group of participants who will undergo routine general anesthesia and dental treatment procedures will receive routine monitoring (Group I), and the other group will receive EEG monitoring (Group II) in addition to routine monitoring. Electrocardiography (ECG), oxygen saturation (SpO2), non-invasive blood pressure (NIBP), endtidal carbon dioxide (EtCO2), endtidal sevoflurane (EtSev) parameters observed as routine monitoring of the patients will be recorded and the minimal alveolar concentration (MAC) value will be kept at 0.9. Anesthesia management will be performed, and in Group II, in addition to routine monitoring, anesthesia management will be carried out to keep the SEF values observed in the EEG between 10-15 and PSI values between 25-50. Routine general anesthesia procedures and dental treatments will not differ between groups. Age, gender, weight, intubation type, ASA, previous surgical experience, anesthesia duration, number of extracted teeth with decayed fillings (dmft) values will also be recorded. In the intraoperative period; hemodynamic parameters (average heart rate, blood pressure and oxygen saturation values) and amounts of medication consumed (most tidal sevoflurane percentages in induction and maintenance, presence of burst suppression, sevoflurane/fentanyl/rocuronium consumption). The participants, whose operation is completed, will be taken to the recovery room and any post-operative discomfort will be noted. The cases will be recorded in the report form. In the postoperative period; Extubation time, agitation (PAED scores) and pain (FLACC, VAS-ORF) scores will be recorded during extubation and 10, 20, 30 minutes and 2 hours after extubation, and recovery time, hospital stay, presence of nausea and vomiting will also be recorded. Modified Aldrete Recovery Score (MAS) will be used for recovery criteria and MAS >8 will be considered as a recovery indicator. The Pediatric Anesthesia Early Delirium Scale (PAED) will be used to evaluate early agitation. FLACC and VAS-ORF scale will be used as pain scales.
Exploring the effects of repeated transcranial magnetic stimulation (rTMS) during the perioperative period on the incidence of postoperative delirium, postoperative cognitive dysfunction, and chronic postoperative pain in elderly patients, as well as its possible mechanisms.