RESUMO
There is growing evidence about how physical activity can improve cancer care. Unfortunately, exercise is still not widely prescribed to oncology patients, despite the benefit it brings. For this to occur, it is necessary for a multidisciplinary approach involving different types of healthcare professionals, given that each treatment be tailored for each single case. Besides incorporating appropriate infrastructures and referral pathways, we need to integrate exercise into healthcare practice, which ameliorates patients' quality of life and treatment side effects. From the Spanish Society of Medical Oncology (SEOM), and through the Exercise and Cancer Working Group, we indicate considerations, analyze patient care scenarios, and propose a referral pathway algorithm for exercise prescription, taking in account the patient's needs. In later sections of this paper, we describe how this algorithm could be implemented, and how the exercise programs should be built, including the physical activity contents, the settings, and the delivery mode. We conclude that professionals, infrastructures, and organizations should be available at every assistance level to create programs providing adequate exercise training for cancer patients.
RESUMO
BACKGROUND AND OBJECTIVE: To describe the characteristics and the evolution of patients with solid tumours admitted to the ICU and to identify factors associated with hospital mortality and to evaluate three illness severity scores. MATERIAL AND METHODS: Descriptive study including 132 patients with solid tumour admitted to the ICU (2010-2016). Demographics and cancer-related data, organ failures, life-supporting therapies and severity scores: APACHE II, SOFA and ICU Cancer Mortality Model (ICMM) were collected. RESULTS: There were 58 patients admitted for medical reasons and 74 for scheduled surgery. The ICU and hospital mortality rate were 12.9% and 19.7%, respectively. The medical reason for admission, the number of organ failures, and the need of life-supporting therapies were significantly associated with a higher mortality (p<0.05). In the logistic regression analysis, the three severity scores: SOFA (OR 1.18, 95% IC 1.14-1.48), APACHE II (OR 1.11, 95% CI 1.09-1.27), and ICMM (OR 1.03, 95% CI 1.02-1.07) were independently associated with a higher mortality (p<0.05). To evaluate the discrimination, the area under the receiver operating characteristics curves (AUROC) were calculated: APACHE II (0.795, 95% CI 0.69-0.9), SOFA (0.77, 95% CI 0.69-0.864) and ICMM (0.794, 95% CI 0.697-0.891). The comparison of AUC ROC after DeLong's test showed no difference between them. CONCLUSION: Hospital mortality was associated with the type and severity of acute illness. The three severity scores were useful to assess outcome and accurate in the discrimination, but we did not find a significant difference between them.