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.
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.
Study Type
OBSERVATIONAL
Enrollment
547
Toronto General Hospital - University Health Network
Toronto, Ontario, Canada
Composite adverse events
The composite adverse outcome is defined by in-hospital mortality, prolonged ventilation (exceeding seven days), or acute kidney injury requiring dialysis.
Time frame: 30 days from the day of surgery.
One-year mortality
One-year is defined as 365 days from the day of surgery.
Time frame: 365 days from the day of surgery.
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