InsCor: um método simples e acurado para avaliação do risco em cirurgia cardíaca InsCor: a simple and accurate method for risk assessment in heart surgery

Abstract

FUNDAMENTO: Escores de risco apresentam dificuldades para obter o mesmo desempenho em diferentes populações. OBJETIVO: Criar um modelo simples e acurado para avaliação do risco nos pacientes operados de doença coronariana e/ou valvar no Instituto do Coração da Universidade de São Paulo (InCor-HCFMUSP). MÉTODOS: Entre 2007 e 2009, 3.000 pacientes foram operados consecutivamente de doença coronariana e/ou valvar no InCor-HCFMUSP. Desse registro, dados de 2/3 dos pacientes foram utilizados para desenvolvimento do modelo (técnica de bootstrap) e de 1/3 para validação interna do modelo. O desempenho do modelo (InsCor) foi comparado aos complexos 2000 Bernstein-Parsonnet (2000BP) e EuroSCORE (ES). RESULTADOS: Apenas 10 variáveis foram selecionadas: Idade > 70 anos; sexo feminino; cirurgia de revascularização coronariana + valva; infarto de miocárdio BACKGROUND: Risk scores show difficulties to attain the same performance in different populations. OBJECTIVE: To create a simple and accurate risk assessment model for patients submitted to surgery due to coronary and/or valvular disease at Instituto do Coração da Universidade de São Paulo (InCor-HCFMUSP). METHODS: Between 2007 and 2009, 3,000 patients were submitted to surgical procedure due to coronary artery and/or valvular disease at InCor-HCFMUSP. From this record, data of 2/3 of the patients were used for model development (bootstrap technique), and 1/3 for internal validation of the model. The performance of the model (InsCor) was compared to the 2000 Bernstein-Parsonnet (2000BP) and EuroSCORE (ES) complexes. RESULTS: Only 10 variables were selected: age > 70 years, female sex; coronary revascularization + valve, myocardial infarction < 90 days; reoperation; surgical treatment of aortic valve; surgical treatment of tricuspid valve; creatinine < 2mg/dL; ejection fraction < 30%, and events. The Hosmer Lemeshow test for the InsCor was 0.184, indicating excellent calibration. The area under the ROC curve was 0.79 for the InsCor, 0.81 for the ES and 0.82 for 2000BP, confirming that the models are good and have similar discrimination. CONCLUSIONS: The InsCor and ES performed better than 2000BP at all stages of validation, but the new model, in addition to showing identification with the local risk factors, is simpler and more objective for mortality prediction in patients undergoing surgery due to coronary and/or valvular disease at InCor-HCFMUSP.

Keywords

• Procedimentos Cirúrgicos Cardíacos
• Mortalidade
• Fatores de Risco
• Modelos Estatísticos
• Medição de Risco
• Cardiac Surgical Procedures
• Mortality
• Risk Factors
• Statistical Models
• Risk Assessment