- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06706323
Depressive Symptoms After Cardiac Surgery (PCD)
Predictive Modelling of Clinically Significant Depressive Symptoms After Coronary Artery Bypass Graft Surgery
Study Overview
Status
Detailed Description
In patients undergoing coronary artery bypass graft (CABG) surgery, the prevalence of clinically significant depressive symptoms (CSDS) is about 30 percent, four times higher than the 12-month prevalence in the general population. CSDS are associated with poor quality of life and increased morbidity and mortality. While several predictors of post-CABG CSDS have been identified, no prognostic model exists.
The aim of this project is to develop a predictive model for post-surgery CSDS in CABG patients using pre- and perioperative data. A prognostic prediction model for CSDS 6 weeks post-CABG, will be developed using demographic, psychometric, medical, inflammation, and cardiac interoception data. Machine learning algorithms will be employed for data analysis. A cohort of 350 participants from two hospitals will be recruited, with 300 participants expected to complete the study. Data will be divided into training (200 participants) and testing (100 participants) sets. Nested cross-validation will prevent overfitting. Both binary and regression prediction models will be used. Additionally, a simpler model will be developed to increase generalizability.
The prediction model will identify CABG patients at risk of post-surgery CSDS. The model will help identify patients at risk for CSDS before surgery, enabling early interventions. Clinicians can make precision medicine decisions to prevent or manage CSDS, improving postoperative psychological well-being. Additionally, the study could advance understanding of the mechanisms linking depression and coronary heart disease, particularly in relation to inflammation and interoception.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Roland v Känel, Prof. Dr.
- Phone Number: +41 (0)44 255 52 51
- Email: roland.vonkaenel@usz.ch
Study Contact Backup
- Name: Sinthujan Sivakumar, MSc
- Phone Number: +41 (0)44 255 35 95
- Email: sinthujan.sivakumar@usz.ch
Study Locations
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Zürich, Switzerland, 8063
- Recruiting
- Stadtspital Zürich (City Hospital Zurich) Triemli
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Contact:
- Héctor Rodríguez, Dr. med.
- Phone Number: +41 43 253 26 87
- Email: hector.rodriguez@usz.ch
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Contact:
- Sinthujan Sivakumar, MSc
- Phone Number: +41 43 253 55 94
- Email: sinthujan.sivakumar@usz.ch
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Zürich, Switzerland, 8091
- Not yet recruiting
- University Hospital Zurich (USZ)
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Contact:
- Héctor Rodríguez, Dr. med.
- Phone Number: +41 43 253 26 87
- Email: hector.rodriguez@usz.ch
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Contact:
- Sinthujan Sivakumar, MSc
- Phone Number: +41 43 253 55 94
- Email: sinthujan.sivakumar@usz.ch
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Elective Off-Pump CABG or CABG, either isolated or combined with valve intervention
- Men and women, aged between 18 and 90 years
- Sufficient knowledge of German language in reading and understanding
- Oral and Signed consent form
- Ability and Willingness to follow the study protocol
Exclusion Criteria:
- Cognitive impairment according to a score of ≤ 7 (maximum score = 9) on a modified version of a short version of the Mini-Mental State Examination and the Brief Interview for Mental Status
- Any serious comorbid non-cardiac medical condition likely to cause death within 1 year (e.g. metastatic cancer)
- Active psychotic symptoms (assessed with two items from the Youth Psychosis At Risk Questionnaire), substance abuse and/or dependence within the past 6 months (assessed with a single-item questionnaire), and/or active suicidal ideations (assessed with a single item from the M.I.N.I.).
- Acute or emergency CABG
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Training group
From the final cohort of 300 participants, 200 will be recruited at Hospital I (University Hospital Zurich) to form the training group for developing the optimal statistical model.
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Test group
From the final cohort of 300 participants, the remaining 100 will be recruited at Hospital II (Stadtspital Zurich Triemli) to form the test group for validating the final model.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Patient Health Questionnaire (PHQ-9) score ≥10 (yes/no) at 6 weeks post-CABG
Time Frame: Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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The Patient Health Questionnaire (PHQ)-9 will assess the severity of self-rated depressive symptoms over the last two weeks. It covers the nine Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5) criteria for major depression, with symptoms rated on a 4-point Likert scale. Scores range from 0 to 27, with higher scores indicating more severe symptoms. A score of 10 or higher corresponds to a diagnosis of depression, with 88 percent sensitivity and specificity. As the best cut-off for post-CABG CSDS is difficult to determine a priori for a prediction model, a two complementary approaches for the analysis will be used, correcting for multiple tests when assessing the significance of the accuracy of the prediction model. One approach frames the prediction challenge as a binary classification problem and uses a PHQ-9 cut-off score ≥10 for defining the presence versus absence of CSDS. |
Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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PHQ-9 score continuous at 6 weeks post-CABG
Time Frame: Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
|
The PHQ-9 will assess the severity of self-rated depressive symptoms over the last two weeks. It covers the nine DSM-5 criteria for major depression, with symptoms rated on a 4-point Likert scale. Scores range from 0 to 27, with higher scores indicating more severe symptoms. A score of 10 or higher corresponds to a diagnosis of depression, with 88 percent sensitivity and specificity. As the best cut-off for post-CABG CSDS is difficult to determine a priori for a prediction model, a two complementary approaches for the analysis will be used, correcting for multiple tests when assessing the significance of the accuracy of the prediction model. The second approach views the prediction challenge as a regression problem and tries to predict individual PHQ-9 scores without applying any threshold. |
Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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General Anxiety Disorder (GAD-7) score ≥10 (yes/no) at 6 weeks post-CABG
Time Frame: Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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The General Anxiety Disorder (GAD)-7 questionnaire will assess self-rated anxiety symptoms over the past two weeks. Seven items are rated on a 4-point Likert scale, with total scores ranging from 0 to 21. A score of 10 or higher indicates moderate to severe anxiety, corresponding to a GAD diagnosis with 89% sensitivity and 82% specificity. As the best cut-off for post-CABG GAD is difficult to determine a priori for a prediction model, a two complementary approaches for the analysis will be used, correcting for multiple tests when assessing the significance of the accuracy of the prediction model. One approach frames the prediction challenge as a binary classification problem and uses a GAD-7 cut-off score ≥10 for defining the presence versus absence of GAD. |
Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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GAD-7 score continuous at 6 weeks post-CABG
Time Frame: Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
|
The GAD-7 questionnaire will assess self-rated anxiety symptoms over the past two weeks. Seven items are rated on a 4-point Likert scale, with total scores ranging from 0 to 21. A score of 10 or higher indicates moderate to severe anxiety, corresponding to a GAD diagnosis with 89% sensitivity and 82% specificity. As the best cut-off for post-CABG GAD is difficult to determine a priori for a prediction model, a two complementary approaches for the analysis will be used, correcting for multiple tests when assessing the significance of the accuracy of the prediction model. The second approach views the prediction challenge as a regression problem and tries to predict individual GAD-7 scores without applying any threshold. |
Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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PTSD (Post-traumatic Stress Disorder) Checklist for DSM-5 (PCL-5) score ≥33 at 6 weeks post-CABG
Time Frame: Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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The PTSD Checklist for DSM-5 (PCL-5) will assess CABG surgery-induced posttraumatic stress. It is a 20-item self-report measure evaluating the DSM-5 PTSD symptoms over the past month. Items are rated on a 5-point Likert scale, with scores of 33 or higher indicating probable PTSD. As the best cut-off for post-CABG PTSD is difficult to determine a priori for a prediction model, a two complementary approaches for the analysis will be used, correcting for multiple tests when assessing the significance of the accuracy of the prediction model. One approach frames the prediction challenge as a binary classification problem and uses a PCL-5 cut-off score ≥33 for defining the presence versus absence of PTSD. |
Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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PCL-5 score continuous at 6 weeks post-CABG
Time Frame: Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
|
The PCL-5 will assess CABG surgery-induced posttraumatic stress. It is a 20-item self-report measure evaluating the DSM-5 PTSD symptoms over the past month. Items are rated on a 5-point Likert scale, with scores of 33 or higher indicating probable PTSD. As the best cut-off for post-CABG PTSD is difficult to determine a priori for a prediction model, a two complementary approaches for the analysis will be used, correcting for multiple tests when assessing the significance of the accuracy of the prediction model. The second approach views the prediction challenge as a regression problem and tries to predict individual PCL-5 scores without applying any threshold. |
Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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Short-Form Health Survey-12 (SF-12) mental health component score at 6 weeks post-CABG
Time Frame: Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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The Short-Form Health Survey (SF-12) will assess physical and mental health-related quality of life (QoL) over the last four weeks, covering aspects such as physical functioning, pain, vitality, social functioning, and mental health.
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Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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SF-12 physical health component score at 6 weeks post-CABG
Time Frame: Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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The SF-12 will assess physical and mental health-related quality of life (QoL) over the last four weeks, covering aspects such as physical functioning, pain, vitality, social functioning, and mental health.
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Baseline (1 day before CABG surgery) and Follow Up (6 weeks after CABG surgery)
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Omer Dzemali, Prof. Dr., Stadtspital Zürich Triemli, Klinik für Herzchirurgie, Birmensdorferstr. 497, 8063 Zurich, Switzerland
- Principal Investigator: Roland v Känel, Prof. Dr., University Hospital Zurich, Dept. of Consultation-Liaison Psychiatry, Haldenbachstr. 16/18, 8091 Zurich, Switzerland
Publications and helpful links
General Publications
- Wittchen HU, Jacobi F, Rehm J, Gustavsson A, Svensson M, Jonsson B, Olesen J, Allgulander C, Alonso J, Faravelli C, Fratiglioni L, Jennum P, Lieb R, Maercker A, van Os J, Preisig M, Salvador-Carulla L, Simon R, Steinhausen HC. The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol. 2011 Sep;21(9):655-79. doi: 10.1016/j.euroneuro.2011.07.018.
- Tully PJ, Baker RA. Depression, anxiety, and cardiac morbidity outcomes after coronary artery bypass surgery: a contemporary and practical review. J Geriatr Cardiol. 2012 Jun;9(2):197-208. doi: 10.3724/SP.J.1263.2011.12221.
- Takagi H, Ando T, Umemoto T; ALICE (All-Literature Investigation of Cardiovascular Evidence) Group. Perioperative depression or anxiety and postoperative mortality in cardiac surgery: a systematic review and meta-analysis. Heart Vessels. 2017 Dec;32(12):1458-1468. doi: 10.1007/s00380-017-1022-3. Epub 2017 Jul 13.
- Chocron S, Vandel P, Durst C, Laluc F, Kaili D, Chocron M, Etievent JP. Antidepressant therapy in patients undergoing coronary artery bypass grafting: the MOTIV-CABG trial. Ann Thorac Surg. 2013 May;95(5):1609-18. doi: 10.1016/j.athoracsur.2013.02.035. Epub 2013 Apr 6.
- Correa-Rodriguez M, Abu Ejheisheh M, Suleiman-Martos N, Membrive-Jimenez MJ, Velando-Soriano A, Schmidt-RioValle J, Gomez-Urquiza JL. Prevalence of Depression in Coronary Artery Bypass Surgery: A Systematic Review and Meta-Analysis. J Clin Med. 2020 Mar 26;9(4):909. doi: 10.3390/jcm9040909.
- Guo P. Preoperative education interventions to reduce anxiety and improve recovery among cardiac surgery patients: a review of randomised controlled trials. J Clin Nurs. 2015 Jan;24(1-2):34-46. doi: 10.1111/jocn.12618. Epub 2014 Jun 3.
- Protogerou C, Fleeman N, Dwan K, Richardson M, Dundar Y, Hagger MS. Moderators of the effect of psychological interventions on depression and anxiety in cardiac surgery patients: A systematic review and meta-analysis. Behav Res Ther. 2015 Oct;73:151-64. doi: 10.1016/j.brat.2015.08.004. Epub 2015 Aug 14.
- Ravven S, Bader C, Azar A, Rudolph JL. Depressive symptoms after CABG surgery: a meta-analysis. Harv Rev Psychiatry. 2013 Mar-Apr;21(2):59-69. doi: 10.1097/HRP.0b013e31828a3612.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Trauma and Stressor Related Disorders
- Vascular Diseases
- Mental Disorders
- Pathologic Processes
- Behavioral Symptoms
- Arteriosclerosis
- Arterial Occlusive Diseases
- Coronary Disease
- Myocardial Ischemia
- Stress Disorders, Traumatic
- Cardiovascular Diseases
- Depression
- Heart Diseases
- Coronary Artery Disease
- Stress Disorders, Post-Traumatic
- Postoperative Complications
Other Study ID Numbers
- BASEC 2023-02040
- 215033 (Other Grant/Funding Number: Swiss National Science Foundation)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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