An international, multicenter, prospective study for identify high-risk patients in cardiac surgery: HiriSCORE

• Grant number: 16/24600-5
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: July 01, 2017
• End date: December 31, 2017
• Field of knowledge: Health Sciences - Medicine - Surgery
• Principal Investigator: Omar Asdrúbal Vilca Mejía
• Grantee: Camila Perez de Souza Arthur
• Host Institution: Instituto do Coração Professor Euryclides de Jesus Zerbini (INCOR). Hospital das Clínicas da Faculdade de Medicina da USP (HCFMUSP). Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil

Abstract

The risk predict models are mathematical tools whose purpose is to identify patients at risk of complications after surgical procedures. Over time, however, due to technical progress (the development of hybrid surgery, new valves and prostheses), the development of new drugs, changes in the environment and social conditions in which patients live, there is a need to improve old and develop new models. Improving the quality of the models was achieved by using more accurate risk assessments. In general, the assessment of mortality risk in cardiac surgery is performed with the use of preoperative risk models (EuroSCORE II, STS-score, etc.). However, the use of improved risk models and increased accuracy in the technique of preparing these mathematical systems, unfortunately, does not have a positive impact on the level of prediction, which is still declining, especially in the considered high risk. Obviously, these models need to be improved in mortality determination in this group of patients. Among the encountered gap, this study aims to achieve a better identification of high-risk patients, in developing post-operative complications and search for better results. (AU)