Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
1364 participants
OBSERVATIONAL
2022-09-17
2023-04-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
The primary hypothesis of this study is that the use of these tools will give a better understanding on the factors affecting outcome after pediatric cardiac surgery.
A network analysis using Gaussian Graphical Models, Mixed Graphical models and Bayesian networks will be used to identify single or groups of risk factors for morbidity and mortality after pediatric cardiac surgery under cardiopulmonary bypass.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Conventional Ultrafiltration Versus Dilutional Ultrafiltration in Pediatric CPB Patients
NCT07221630
Cefazolin Dosing in Children Undergoing Cardiac Surgery With Cardiopulmonary Bypass
NCT02749981
Effect of Remote Ischaemic Preconditioning on Clinical Outcomes in CABG Surgery
NCT01247545
Clinical Outcomes Between Pulsatile and Non-Pulsatile Flow During Cardiopulmonary Bypass
NCT07009730
Beta Blocker Use in Cardiac Surgery and Association With Postoperative Course
NCT04769752
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
RETROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Pediatric cardiac surgery
All patients with pediatric cardiac surgery under cardiopulmonary bypass between 2008 and 2018 will be included
Pediatric cardiac surgery under cardiopulmonary bypass
All patients with pediatric cardiac surgery under cardiopulmonary bypass between 2008 and 2018 operated at our institution
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Pediatric cardiac surgery under cardiopulmonary bypass
All patients with pediatric cardiac surgery under cardiopulmonary bypass between 2008 and 2018 operated at our institution
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* cardiac surgery under cardiopulmonary bypass
Exclusion Criteria
* Jehovah's Witness
16 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Université Libre de Bruxelles
OTHER
Brugmann University Hospital
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Denis SCHMARTZ
Head, Département of Anesthesiology
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Hôpital Universitaire des Enfants Reine Fabiola
Brussels, , Belgium
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Jenkins KJ, Gauvreau K, Newburger JW, Spray TL, Moller JH, Iezzoni LI. Consensus-based method for risk adjustment for surgery for congenital heart disease. J Thorac Cardiovasc Surg. 2002 Jan;123(1):110-8. doi: 10.1067/mtc.2002.119064.
Lacour-Gayet F, Clarke D, Jacobs J, Comas J, Daebritz S, Daenen W, Gaynor W, Hamilton L, Jacobs M, Maruszsewski B, Pozzi M, Spray T, Stellin G, Tchervenkov C, Mavroudis And C; Aristotle Committee. The Aristotle score: a complexity-adjusted method to evaluate surgical results. Eur J Cardiothorac Surg. 2004 Jun;25(6):911-24. doi: 10.1016/j.ejcts.2004.03.027.
Siga MM, Ducher M, Florens N, Roth H, Mahloul N, Fouque D, Fauvel JP. Prediction of all-cause mortality in haemodialysis patients using a Bayesian network. Nephrol Dial Transplant. 2020 Aug 1;35(8):1420-1425. doi: 10.1093/ndt/gfz295.
Till AC, Florquin R, Delhaye M, Kornreich C, Williams DR, Briganti G. A network perspective on abnormal child behavior in primary school students. Psychol Rep. 2023 Aug;126(4):1933-1953. doi: 10.1177/00332941221077907. Epub 2022 Mar 24.
Briganti G, Linkowski P. Item and domain network structures of the Resilience Scale for Adults in 675 university students. Epidemiol Psychiatr Sci. 2019 Apr 22;29:e33. doi: 10.1017/S2045796019000222.
Florquin R, Florquin R, Schmartz D, Dony P, Briganti G. Pediatric cardiac surgery: machine learning models for postoperative complication prediction. J Anesth. 2024 Dec;38(6):747-755. doi: 10.1007/s00540-024-03377-7. Epub 2024 Jul 19.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
PED_CARDIAC_surg_Bayesian
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.