View clinical trials related to Postoperative Delirium (POD).
Filter by:Postoperative delirium (POD) is a frequent postoperative complication in the elderly, characterised by fluctuating disturbances in attention, awareness, and cognition. Identifying the patients at highest risk of developing POD was the aim of the artificial intelligence (AI)-based algorithm PIPRA. This prospective cohort study is to externally validate the AI-based PIPRA algorithm. The primary endpoint is the performance (AUC) of the PIPRA algorithm in predicting POD. The secondary endpoint is the performance (AUC) of the clinicians in predicting POD (and how it compares with the performance of the PIPRA algorithm).
1. To evaluate the effectiveness and safety of acupuncture on POD in diabetic patients undergoing surgery, to provide effective prevention and treatment measures of integrated traditional Chinese and western medicine for reducing the incidence of postoperative delirium in high-risk groups, and to provide clinical basis for further promotion of integrated traditional Chinese and western medicine anesthesia in the future. 2. To investigate the relationship between POD and rSO2 in diabetic patients undergoing surgery. To clarify the predictive value of intraoperative rSO2 monitoring on postoperative cognitive function in patients with diabetes, and to explore the effect of acupuncture on cerebral blood flow perfusion in patients with diabetes.
The research leading consortium to these results has received funding from the European Union Seventh Framework Programme [FP7/2007-2013] under grant agreement no 602461 (www.biocog.eu). The investigators will establish valid biomarkers panels (neuroimaging and molecular) for risk and clinical outcome prediction of postoperative delirium (POD)/postoperative cognitive deficit (POCD) in elective surgical patients (Age ≥ 65 years) in study centers in Berlin,Germany (data collection within 2 years after initial hospital stay) and Utrecht, The Netherlands (data collection within 1 year after initial hospital stay), thereof cerebrospinal fluid (only once on day of surgery in patients with planned spinal anesthesia/combined spinal epidural analgesia in patients, only in Berlin). A control group of ASA II/III- patients is collected for measuring the learning experience during the cognitive testings. The participants are matched on age, education, and gender to the study patients. The ASA II/III- control patients receive additionally MRI-scan (3 Tesla) at baseline, after 3 months and after 1 (Utrecht) and 2 years (Berlin). To analyze scanner variability we additionally measure at maximum 20 subjects (Age ≥ 65 years, ASA I and II) from Utrecht in the MRI scanner (3-Tesla) in Berlin and vice versa. A study group at maximum (n= 80) and is collected for measuring 7 Tesla MRI at two timepoints (Baseline and 90 days).The primary endponit of this substudy is gamma amino-butyric acid concentration in CNS after 3-months (measured by MRI). A retrospective comparison group (extracting 8000 intensive care unit patient data from the patient data management system during the BioCog study period in 2016) to analyse economic effects that are caused by the implementation of quality indicators in health care. An interim-analysis is performed on the primary endpoint after 400 included patients. The resulting (multivariate) expert system is expected: 1) to support clinical decision-making in patient care, e.g. to balance the individual POD/POCD risk against the expected overall clinical outcome of an (elective) surgical intervention, 2) to allow the design of more sophisticated and hypothesis-driven clinical studies and drug trials (translational research) in the future. The latter will be possible on the basis of biomarker-based sub-grouping of patients and a better understanding of relevant pathophysiological processes. Furthermore, a state-of-the art clinical database and biobank will be created that does not yet exist worldwide. Both the expert system and the reference database/biobank will expand the leadership of the contributing academic institutions in this particular research area. In addition, the newly created biobank will become an integral part of the European Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) which allows top address specific and hypothesis-driven research questions. Most notably, the developed (multivariate) expert system also has the potential for commercialization. Possible customers are: 1) physicians and hospital departments being involved in pre-surgical decision making, 2) pharmaceutical industry intending to conduct biomarker-based drug trials in POD/POCD.