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Int. j. cardiovasc. sci. (Impr.) ; 32(1): 28-34, jan.-fev. 2019. tab
Artigo em Inglês | LILACS | ID: biblio-981527

RESUMO

Background: Coronary artery bypass grafting (CABG) is an important treatment option for obstructive coronary artery disease, but it represents a high expense for paying sources.The complications of CABG impose an additional expense to the procedure that is not yet clearly established. Objective: To determine the economic impact of postoperative complications of CABG during hospitalization in a hospital of the unified health system (SUS). Methods: This is an observational study involving 240 patients undergoing isolated CABG in a reference hospital in cardiology in 2013. Patients aged over 30 years with proven coronary artery disease and indication to perform CRVM were included. Patients who performed CRVM associated with other procedures were excluded. Results: The average cost of hospitalization was R$ 22,647.24 (SD = R$ 28,105.66). In 97 patients who presented some complication the average cost was R$ 35,400.28 (SD = R$ 40,509.47), and in the 143 patients without complications the average cost was R$ 13,996.57 (SD = R$ 5,800.61) (p < 0.001). Expenditures ranged from R$ 17,344.37 in patients with one complication up to R$ 104,596.52 in patients with five complications (p < 0.001). Conclusions: The occurrence of complications during hospitalization for CABG dignificantly increases the costs of the procedure, but the magnitude of this increase depends on the type of complication developed, and higher expenses related to cardiovascular complications, infections and bleeding. With this information, managers can improve the allocation of resources to health


Assuntos
Humanos , Masculino , Feminino , Pessoa de Meia-Idade , Hospitalização/economia , Revascularização Miocárdica/economia , Revascularização Miocárdica/métodos , Arritmias Cardíacas/complicações , Cuidados Pós-Operatórios/métodos , Sistema Único de Saúde , Doença da Artéria Coronariana , Doenças Cardiovasculares/economia , Doenças Cardiovasculares/mortalidade , Infecção Hospitalar , Interpretação Estatística de Dados , Estudos Retrospectivos , Análise de Variância
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