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1.
Clin Transl Oncol ; 2024 Jun 23.
Article in English | MEDLINE | ID: mdl-38909323

ABSTRACT

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.

2.
Med. clín (Ed. impr.) ; 153(7): 270-275, oct. 2019. graf, tab
Article in English | IBECS | ID: ibc-185335

ABSTRACT

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


Introducción y objetivo: Describir las características generales y la evolución de los pacientes con tumores sólidos ingresados en una unidad de cuidados intensivos (UCI), identificar los factores asociados a la mortalidad y evaluar el valor pronóstico de 3 escalas de gravedad. Material y métodos: Estudio descriptivo de 132 pacientes con diagnóstico de tumour sólido admitidos en la UCI (2010-2016). Se analizaron los datos demográficos relacionados con el tumour, la disfunción orgánica y las terapias de soporte vital, así como las escalas de gravedad APACHE II, SOFA e ICMM. Resultados: Ingresaron 58 pacientes por causa médica y 74 tras cirugía programada. La tasa de mortalidad en la UCI y hospitalaria fue del 12,9% y 19,7%, respectivamente. La causa médica de ingreso, el número de fallos orgánicos y la necesidad de terapias de soporte vital se asociaron significativamente con mayor mortalidad (p<0,05). En el análisis por regresión logística las 3 escalas evaluadas: SOFA (OR: 1,18; IC 95%: 1,14-1,48), APACHE II (OR: 1,11; IC 95%: 1,09-1,27) e ICMM (OR: 1,03; IC 95%: 1,02-1,07) se asociaron de forma independiente con una mayor mortalidad (p<0,05). Para evaluar la discriminación, se calcularon las AUROC: APACHE II (0,795; CI 95%: 0,69-0,9), SOFA (0,77; CI 95%: 0,69-0,864) e ICMM (0,794; CI 95%: 0,697-0,891). La comparación de las mismas por el test DeLong no mostró diferencias entre los sistemas de puntuación. Conclusiones: La mortalidad hospitalaria se asoció con el tipo y la gravedad de la enfermedad aguda. Las e escalas de gravedad evaluadas fueron igualmente útiles para evaluar el pronóstico, sin mostrar diferencias entre ellas


Subject(s)
Humans , Male , Middle Aged , Aged , Severity of Illness Index , Neoplasms/diagnosis , Intensive Care Units , Prognosis , Patient Acuity , Hospital Mortality , Retrospective Studies , APACHE , Organ Dysfunction Scores
3.
Med Clin (Barc) ; 153(7): 270-275, 2019 10 11.
Article in English, Spanish | MEDLINE | ID: mdl-30857791

ABSTRACT

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.


Subject(s)
Hospital Mortality , Intensive Care Units , Neoplasms/mortality , Patient Admission , Severity of Illness Index , APACHE , Aged , Female , Humans , Intensive Care Units/statistics & numerical data , Length of Stay , Life Support Care/methods , Logistic Models , Male , Middle Aged , Neoplasms/drug therapy , Neoplasms/surgery , Organ Dysfunction Scores , ROC Curve , Retrospective Studies
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