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This multicentre study is to validate prediction modeling for the ACHD population undergoing cardiac surgery. The validation of this prediction model will support and generalize its use as a risk stratification tool in the ACHD population.
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The prediction model resulted from a preceding study, which uniquely based on comorbidities, was developed using 783 adults (>16 years) who underwent surgery for congenital heart disease at Toronto General Hospital (TGH) during 2004-2015. It identifies five pre-operative variables, namely presence of cognitive impairment, hepatic function, >3 chest incisions, anatomy diagnosis, and Body Mass Index <20 and >28, as significant predictors of composite adverse outcomes such as in-hospital mortality, prolonged ventilation (exceeding 7 days) and acute kidney injury.
This newly prediction model developed in a single-center has only been internally validated. It requires further external validation to demonstrate its utility in ACHD populations who require cardiac surgery in other cardiac institutions both nationally and internationally.
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Jo Carroll; Jane Heggie, MD
Data sourced from clinicaltrials.gov
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