Key result
An enhanced multicenter data collection system is being developed in Australia to identify predictors of morbidity and mortality following valve surgery for rheumatic and non-rheumatic heart disease.
Observational (n=600)
Yes
This paper outlines the methodology for developing an enhanced database to identify predictors of morbidity and mortality following valve surgery in Australia.
May enable future predictor identification for valve surgery outcomes in Australia; leaves open validation and clinical application.
BACKGROUND: Valvular heart disease, including rheumatic heart disease (RHD), is an important cause of heart disease globally. Management of advanced disease can include surgery and other interventions to repair or replace affected valves. This article summarises the methodology of a study that will incorporate enhanced data collection systems to provide additional insights into treatment choice and outcome for advanced valvular disease including that due to RHD. METHODS: An enhanced data collection system will be developed linking an existing Australian cardiac surgery registry to more detailed baseline co-morbidity, medication, echocardiographic and hospital separation data to identify predictors of morbidity and mortality outcome following valve surgery. DISCUSSION: This project aims to collect and incorporate more detailed information regarding pre and postoperative factors and subsequent morbidity. We will use this to provide additional insights into treatment choice and outcome.
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Russell et al. (2017) conducted an observational in Valvular heart disease (n=600). Valve surgery was evaluated on Major adverse prosthesis-related events (MAPE). An enhanced multicenter data collection system is being developed in Australia to identify predictors of morbidity and mortality following valve surgery for rheumatic and non-rheumatic heart disease.
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