Background: Observed patient survival after cardiothoracic interventions should ideally be placed in the context of matched-general-population survival. This study outlines several methodologies of matching general population mortality to the study sample, subsequently calculating cumulative matched-general-population survival, highlighting their respective advantages, disadvantages, and limitations.
Methods: A multicenter data set containing survival data after the Ross procedure was used for methodological illustration.
Objectives: To evaluate the ongoing debate concerning the choice of valve prosthesis for women requiring mitral valve replacement (MVR) and who wish to conceive. Bioprostheses are associated with risk of early structural valve deterioration. Mechanical prostheses require lifelong anticoagulation and carry maternal and fetal risks.
View Article and Find Full Text PDFBackground To support decision-making in aortic valve replacement in nonelderly adults, we aim to provide a comprehensive overview of reported outcome after bioprosthetic aortic valve replacement and to translate this to age-specific patient outcome estimates. Methods and Results A systematic review was conducted for papers reporting clinical outcome after aortic valve replacement with currently available bioprostheses in patients with a mean age <55 years, published between January 1, 2000, and January 9, 2016. Pooled reported event rates and time-to-event data were pooled and entered into a microsimulation model to calculate life expectancy and lifetime event risk for the ages of 25, 35, 45, and 55 years at surgery.
View Article and Find Full Text PDFCirc Cardiovasc Qual Outcomes
December 2018
Background: To support decision-making in aortic valve replacement in children and adults, we provide a comprehensive overview of outcome after the Ross procedure.
Methods And Results: A systematic search was conducted for publications reporting clinical outcome after the Ross procedure, published between January 1, 2000, and November 22, 2017. Reported event rates and time-to-event data were pooled and entered into a microsimulation model to calculate life expectancy and lifetime event risk.