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Support Care Cancer ; 16(9): 1089-93, 2008 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-18478277

RESUMO

BACKGROUND: Bone metastases revealing solid tumors require a multidisciplinary treatment that may include aggressive surgery. Nevertheless, decision making is very difficult because of lack of reliable guidance for life expectancy. Therefore, we had conducted a retrospective study to analyze prognostic factors in this vulnerable population. MATERIALS AND METHODS: We reviewed the medical charts of 119 consecutive patients with solid tumors treated between August 1999 and December 2007. Survival was estimated using Kaplan-Meier method. Prognostic factors were assessed with Log-rank test and Cox model. There were 77 men and 42 women. RESULTS AND DISCUSSION: The median age was 57 (range, 29-84). The most frequent primaries were lung (51 cases), unknown primary (42 cases), and breast (six cases). The median overall survival was 118 days (1-2,815). Six independent prognostic factors were identified by multivariate analysis: Karnosky index < 80% (HR = 1.92), albuminemia < 38 g/l (HR = 2.60), natremia < 135 mEq/l (HR = 2.78), platelet count > 500,000/mm(3) (HR = 2.71), cutaneous metastasis (HR = 4.6), and pleural metastasis (HR = 4.76). For example, patients with < or =2 of these prognostic factors experienced a median overall survival of 196 days (1-2,875) and their risk of death within the 90 days was 15/77. On the contrary, the patients with more than two poor prognostic factors experienced a median overall survival of about 80 days (1-834) and their risk of early death was 22/32. We had proposed an easily obtained at bedside score that needs further validation on independent cohort.


Assuntos
Neoplasias Ósseas/mortalidade , Neoplasias Ósseas/patologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Tomada de Decisões , Feminino , Humanos , Estimativa de Kaplan-Meier , Avaliação de Estado de Karnofsky , Expectativa de Vida , Masculino , Prontuários Médicos , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Prognóstico , Modelos de Riscos Proporcionais , Estudos Retrospectivos , Fatores de Risco
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