Clinical trial NCT05537168: Bayesian Networks in Pediatric Cardiac Surgery
Official title: Use of Deep Neural Networks and Bayesian Analysis to Identify Risk Factors for Poor Outcome After Pediatric Cardiac Surgery
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Cardiac Surgical Procedures
Pediatrics
Cardiopulmonary Bypass
Lead sponsor: Brugmann University Hospital
Sponsor class: OTHER
Collaborators: name: Université Libre de Bruxelles
First posted: 2022-09-13
Enrollment: 1364
Sex: ALL
Maximum age (years): 16
Standard ages: CHILD
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: All patients with pediatric cardiac surgery under cardiopulmonary bypass between 2008 and 2018 at our institution

Brief summary: Pediatric cardiac surgery with cardiopulmonary bypass is associated with significant morbidity and mortality. Also score systems for risk factors, such as Risk Adjustment for Congenital Heart surgery (RACHS 1) score or the ARISTOTLE score, have been developed, outcome prediction remains difficult. New mathematical methods using deep neural networks associated with Bayesian statistical methods have been developed to give a better understanding of the complex interaction between different risk factors, to identify risk factors and group them in related families. This method has been successfully used to predict mortality in dialysis patient as well as to better describe complex psychiatric syndromes.

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.


Eligibility criteria: Inclusion Criteria:

* 0 to 16 years
* cardiac surgery under cardiopulmonary bypass

Exclusion Criteria:

* ASA (American Society of Anesthesiologists) status 5
* Jehovah's Witness

Primary outcomes:
measure: Outcome predictors
timeFrame: 28 days
Secondary outcomes:
Other outcomes:
Locations:
city: Brussels
country: Belgium
facility: Hôpital Universitaire des Enfants Reine Fabiola
Study officials:
References:
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