Cardiovascular diseases represent the greatest burden of morbidity and mortality for the health system and cardiac surgery has an important impact on their resolutivity. The association and correlation of patients' demographic and clinical relevant information with the resources required for each stratum represent the possibility to adapt, improve and innovate into the healthcare programs. This project aims to remodel the "InsCor" risk score for the formulation of the SP-SCORE (Sao Paulo System for Cardiac Operative Risk Evaluation) in order to better reflects the complexity of cardiac surgical care. The participating hospitals include the Health Technology Assessment Centers in of the Health Secretariat' HTA Network of São Paulo State (HTA-NATSs / SES-SP). The SP-SCORE will use 10 variables of the InsCor model and others 8 variables with presumed influence in Brazil. The primary endpoints are morbidity and mortality. Bootstrap technique besides automated selection of variables (stepwise) will be used to develop a parsimonious model by multiple logistic regression. This project will contribute for the SUS-SP regionalized health-care (RRAS) sustainability and financing of the CABG and/or heart valve surgery programs promoting equitable allocation, increasing access and effectiveness, as well as characterizing the magnitude of available resources and its impact.
Risk factors; Cardiovascular surgical procedures; Hospital mortality; Morbidity; Database