- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06685263
Development of Perioperative Delirium Prediction Model
November 9, 2024 updated by: Kubra Gunes
Development of a Perioperative Delirium Prediction Model in Patients Undergoing Cardiovascular Surgery
Postoperative delirium is an acute organic brain dysfunction that is commonly observed following cardiovascular surgery.
It presents with acute and fluctuating changes in the level of consciousness, resulting in impaired cognitive function and perception.
The incidence of delirium following cardiac surgery has been reported to range from 11.4% to 55%.
In light of the challenges associated with treating delirium once it has manifested, it is imperative to prioritise the early recognition and prevention of this condition.
The objective of this study was to develop a perioperative delirium risk prediction model for patients undergoing cardiovascular surgery.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Detailed Description
Postoperative delirium is associated with an increased incidence of postoperative complications, which in turn lead to cognitive dysfunction, increased mortality, and the need for long-term care.
It is predicted in the literature that the early detection of delirium cases, of which 30% are known to be preventable, improves prognosis.
Accordingly, a prediction model based on the identification of delirium risk factors can categorise intensive care patients into distinct risk levels according to their probability of developing delirium, thus enabling healthcare professionals to ascertain the likelihood of delirium and implement suitable preventive measures.
A review of the literature reveals the existence of numerous delirium prediction models designed to identify patients at high risk of developing delirium.
However, there is a paucity of studies examining models for predicting delirium risk in the context of cardiovascular surgery.
The objective of this study is to develop a delirium risk prediction model for the perioperative period in patients undergoing cardiovascular surgery.
Study Type
Observational
Enrollment (Estimated)
770
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Kubra Gunes
- Phone Number: 05379406215
- Email: kubragunes213@gmail.com
Study Contact Backup
- Name: Nursel Vatansever
- Email: nurselaydin@uludag.edu.tr
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Probability Sample
Study Population
In order to be eligible for inclusion in the study, the patient must be at least 18 years of age and must have undergone a surgical procedure on the cardiovascular system.
Furthermore, the subject must not have any mental or sensory impairment, psychiatric diagnosis, or be taking medication for this purpose.
Furthermore, the patient must not be in a coma, exhibit a RASS score between -3 and +4, and have a GCS score of 10 or above.
Description
Inclusion Criteria:
- Over 18 years old
- Previous cardiovascular surgery
- No mental deficiency and visual and hearing impairment
- Participants' acceptance to participate in the research
- The patient is not in coma (RASS score between -3 and +4, GCS score of 10 and above)
Exclusion Criteria:
- Cardiovascular surgery under emergency conditions
- Being diagnosed with delirium, dementia, psychiatric illness and taking medication for this reason before the surgery
- Serious conditions such as cardiopulmonary resuscitation during surgery
- Alcohol and drug addiction
- Duration of mechanical ventilation exceeding 36 hours
- Dying in the intensive care unit within 24 hours
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Development group
The development group comprises 385 individuals.
Following the data collection process, the independent risk factors for the development of delirium will be identified through statistical analysis.
A delirium prediction model will then be developed based on the identified risk factors.
|
The development group comprises 385 individuals.
Following the data collection phase of the development group, the independent risk factors for the onset of delirium will be identified through statistical analysis.
A delirium prediction model will then be constructed using the identified risk factors.
|
|
Validation group
The validation group comprises 385 individuals.
The delirium prediction model, constructed using the data from the development group, will be validated by testing the data from the validation group.
This process will enable the evaluation of the model's suitability and calibration for predicting delirium.
|
The validation group comprises 385 individuals.
The delirium prediction model created using the data from the development group will be validated by testing the data from the validation group.
This will enable the evaluation of the model's fit and calibration in predicting delirium.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Development of a delirium risk prediction model
Time Frame: 1 year
|
The objective of this study is to develop a perioperative delirium risk prediction model for patients undergoing cardiovascular surgery.
|
1 year
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: Nursel Vatansever, Uludag University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Rudolph JL, Jones RN, Levkoff SE, Rockett C, Inouye SK, Sellke FW, Khuri SF, Lipsitz LA, Ramlawi B, Levitsky S, Marcantonio ER. Derivation and validation of a preoperative prediction rule for delirium after cardiac surgery. Circulation. 2009 Jan 20;119(2):229-36. doi: 10.1161/CIRCULATIONAHA.108.795260. Epub 2008 Dec 31.
- Xu Y, Meng Y, Qian X, Wu H, Liu Y, Ji P, Chen H. Prediction model for delirium in patients with cardiovascular surgery: development and validation. J Cardiothorac Surg. 2022 Oct 1;17(1):247. doi: 10.1186/s13019-022-02005-3.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
December 15, 2024
Primary Completion (Estimated)
December 15, 2025
Study Completion (Estimated)
May 30, 2026
Study Registration Dates
First Submitted
November 9, 2024
First Submitted That Met QC Criteria
November 9, 2024
First Posted (Estimated)
November 12, 2024
Study Record Updates
Last Update Posted (Estimated)
November 12, 2024
Last Update Submitted That Met QC Criteria
November 9, 2024
Last Verified
November 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2024-15/3
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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