Modelo Cox

Sobrevivência e fatores prognósticos no osteossarcoma: experiência de 11 anos de Hospital de Câncer Paraibano

  • Autores:
  • André Luís Lopes Gomes de Siqueira
  • José Carlos de Lacerda Leite
  • Kátia Suely Queiroz Silva Ribeiro
  • Rayssa Sobreira Camurça
  • Palavras-chave:
  • Modelo Cox
  • Neoplasias ósseas
  • Osteossarcoma
  • Regressão logística
Resumo: The objective was to analyze the clinical and sociodemographic profile that influenced the survival of patients with Osteosarcoma in the period from 2010 to 2021 in a regional cancer hospital, serving to contribute with regional and national data for a greater understanding of this disease. Methods Retrospective, observational and analytical cohort study. Quantitative approach, analysis of medical records of patients diagnosed with Osteosarcoma treated at a philanthropic hospital from 2010 to 2021, building survival regression models to identify predictors with statistical significance. Results Sixty-three medical records were evaluated, 63.3% male and 63.5% younger than 20 years old. Cox regression model obtained significance better than no predictor, [X2(1) = 17.137; p<0.01]. The predictors that were significant were: serum alkaline phosphatase levels at the first consultation (HR= 1.003; 95%CI= 1.001 – 1.004) and the presence of pulmonary metastasis (HR= 4.927; 95%CI= 1.756 – 13.825). Survival rate after the Cox model showed that in 5 years, patients with pulmonary metastasis have a survival rate of around 48%. Keywords: : Osteosarcoma; Bone neoplasms; Logistic regression; Cox model. Expandir Resumo Acessar Texto Completo