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Rev Esp Enferm Dig ; 111(10): 750-756, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31345043

RESUMO

AIMS: the aim of this study was to examine the possible association between the type of hospital admission and subsequent survival of the patient, as well as the pathological features recorded in a large population of patients with colorectal cancer. METHODS: the study included 1,079 patients diagnosed with colon or rectal cancer in the Hospital Costa del Sol (Marbella, Spain). The relationship between patient survival rate and type of first admission to the hospital (elective or emergency admission) was assessed. The following variables were studied: age, gender, tumor location, pathological stage, differentiation grade, chemotherapy before surgery and survival. RESULTS: colon tumors are more common in patients admitted to hospital for the first time via the emergency service (63.7%) and the tumors tend to be poorly differentiated (64.2%) and metastatic (70%). These patients also present a more aggressive disease and a poorer prognosis than patients with an elective admission. With regard to patients from the Emergency Department, a Cox regression analysis showed a risk-ratio (RR) of 1.36 (confidence interval [CI] 95%: 1.11-1.66) for disease-free survival and of 1.41 (95% CI: 1.14-1.76) for overall survival. CONCLUSIONS: hospital admission via the Emergency Department is an indicator of aggressiveness and poorer prognosis compared to patients who enter via programmed routes.


Assuntos
Neoplasias do Colo/mortalidade , Serviço Hospitalar de Emergência , Neoplasias Retais/mortalidade , Fatores Etários , Idoso , Neoplasias do Colo/tratamento farmacológico , Neoplasias do Colo/patologia , Neoplasias do Colo/cirurgia , Intervalo Livre de Doença , Feminino , Humanos , Estimativa de Kaplan-Meier , Masculino , Admissão do Paciente , Neoplasias Retais/tratamento farmacológico , Neoplasias Retais/patologia , Neoplasias Retais/cirurgia , Análise de Regressão , Estudos Retrospectivos , Fatores Sexuais , Espanha/epidemiologia , Taxa de Sobrevida
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