POD risk estimation using PEUMA
Diagnostic TestA software will analyze intraoperative EEG recording for the estimation of a POD Risk Index
NCT Number: NCT05992506
Acute post-operatory cognitive dysfunction states are one of the most important complications in older patients that underwent surgery. Among them postoperative delirium (POD) is the the most studied. Patients who develop delirium have poorer long-term outcomes, such as longer length of hospital stay, institutionalization at discharge, and even higher mortality, and consequently, the human and economic costs significantly increase for the health system. Here the research team will use an observational cohort, investigator blinded in five-center with a primary endpoint to validate intraoperative EEG analysis as a reliable biomarker of postoperative delirium.
This study is active but is not currently recruiting participants.
Notify Me60 year–100 year
All sexes
Observational
Hospital Clinico Universidad de Chile, Santiago, Santiago Metropolitan, Chile
Acute post-operatory cognitive dysfunction states are one of the most frequent complications in older patients after surgery, being POD the most important. Previous studies have shown than the incidence of POD in older patients range between 10-50%. Patients who develop POD have poorer long-term outcomes, such as longer length of hospital stay, institutionalization at discharge, and even higher mortality. Consequently, the human and economic costs associated to POD represents an important issue for health systems worldwide.
A key element to diminish POD and its burden on healthcare is early diagnostic. Current risk assessment tools are centered on clinical approaches based on cognitive tests (i.e., MoCA) and/or prediction models that uses patients' clinical variables (i.e., DELPHI score). We have developed a strategy that uses intraoperative EEG features as building blocks for a new POD risk assessment predictive model. This system, called PEUMA, uses data obtained from 95 patients from a previous study (NCT04214496).
This will be a multicenter (five-centers), observational study and its primary outcome will be PEUMA's ability to predict POD.
To calculate the sample size, the methodology described by Riley et al was used. This method is specially designed for clinical prediction models. Such a tool is available online (https://mvansmeden.shinyapps.io/BeyondEPV/). The parameters used were the following:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
A software will analyze intraoperative EEG recording for the estimation of a POD Risk Index
Time frame: First 3 days after surgery
Incidence of POD in the cohort diagnosed using the Confusion Assessment Method (CAM) twice/day
Time frame: 30 days after surgery
Number of deceased patients
Time frame: First 3 days after surgery
Delirium severity assessed by Cognitive Assessment Method - Severity (CAM-S)
Time frame: First 3 days after surgery
Duration of delirium during the postoperative period
Time frame: First 3 days after surgery
Number of patients that needed mechanical ventilation
Time frame: First 3 days after surgery
Number of patients who required other unanticipated surgery after the primary intervention
Time frame: First 3 days after surgery
Number of patients that needed unanticipated intensive care unit (ICU) care
University of Chile
Other
Electroencephalographic Biomarker to Predict the Development of Postoperative Delirium: a Protocol of an Observational Study in a Cohort of Patients From Five Centers
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