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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
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| 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. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Group 1 | Behavioral | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Development of a delirium risk prediction model | The objective of this study is to develop a perioperative delirium risk prediction model for patients undergoing cardiovascular surgery. | 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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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.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Kubra Gunes | Contact | 05379406215 | kubragunes213@gmail.com | |
| Nursel Vatansever | Contact | nurselaydin@uludag.edu.tr |
| Name | Affiliation | Role |
|---|---|---|
| Nursel Vatansever | Uludag University | Study Director |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 19118253 | Background | 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. | |
| 36183105 |
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| ID | Term |
|---|---|
| D003693 | Delirium |
| ID | Term |
|---|---|
| D003221 | Confusion |
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
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|
| Group 2 | Behavioral | 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. |
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| 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. |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |