ABSTRACT
Objetivos. Objetivos principales: elaborar un modelo predictor de toxicidad a la quimioterapia en ancianos oncológicos, a partir de variables relacionadas con la sarcopenia; identificar cuál de estos parámetros, sarcopenia o fragilidad, es el mejor predictor de toxicidad de la quimioterapia en ancianos. Material y métodos. Estudio prospectivo observacional, con pacientes ≥70 años tratados con quimioterapia en la Unidad de Cáncer en el Anciano de la Sección de Oncología Médica del Hospital Virgen de la Luz de Cuenca. Antes del inicio de la quimioterapia, a cada paciente se le determinará la fuerza muscular (handgrip, fuerza cilíndrica manual, fuerza de presión pulgar, flexión de cadera, extensión de rodilla), la masa muscular (índice de masa muscular esquelética) y la función física (velocidad 5 metros y test 5-Sit to stand). A lo largo de los 4 meses de tratamiento con quimioterapia, se recogerá la aparición de toxicidad severa. Se evaluará, mediante un primer análisis de regresión logística multinomial, cuál de ellos, sarcopenia (definición del European Working Group on Sarcopenia in Older People o fragilidad (criterios propuestos por Fried et al.), es el mejor predictor de toxicidad de la quimioterapia. Mediante un segundo análisis de regresión se pretende crear el primer modelo de predicción de toxicidad a la quimioterapia en el anciano oncológico, basado en la definición de sarcopenia. Conclusiones. Se espera que del análisis definitivo de este proyecto puedan encontrarse factores predictores de toxicidad a quimioterapia en ancianos oncológicos (AU)
Objectives. To develop a predictive model of toxicity to chemotherapy in elderly patients with cancer, using the variables associated with sarcopenia, and to identify which of these parameters, sarcopenia or frailty, is the best predictor of toxicity to chemotherapy in the elderly. Material and methods. A prospective observational study with patients ≥70 years treated with chemotherapy in the Cancer Unit for the Elderly, in the Medical Oncology Section of the Hospital Virgen de la Luz de Cuenca. The following tests will be performed by each patient before chemotherapy: muscle strength (handgrip, cylindrical handgrip, pinch gauge, hip flexion, knee extension), muscle mass (skeletal muscle mass index), and physical function (gait speed and 5STS test). The occurrence of severe toxicity will be recorded over a period of 4 months of chemotherapy treatment. It will be evaluated, using logistic regression analysis, whether sarcopenia (defined by the European Working Group on Sarcopenia in Older People) or frailty (defined by the phenotype of frailty) is the best predictor of chemotherapy toxicity. Using a multinomial logistic regression analysis, we will try to create the first model to predict toxicity to chemotherapy in elderly patients with diagnosis of cancer, based on the definition of sarcopenia. Conclusions. It is expected that the final analysis of this project will be useful to detect predictive factors of toxicity to chemotherapy in elderly patients with cancer (AU)
Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Sarcopenia/diagnosis , Sarcopenia/drug therapy , Health Programs and Plans/organization & administration , Frail Elderly , Muscle Strength/physiology , Drug Therapy , Prospective Studies , Longitudinal Studies , Cohort Studies , Drug-Related Side Effects and Adverse Reactions , Neoplasms/drug therapyABSTRACT
OBJECTIVES: To develop a predictive model of toxicity to chemotherapy in elderly patients with cancer, using the variables associated with sarcopenia, and to identify which of these parameters, sarcopenia or frailty, is the best predictor of toxicity to chemotherapy in the elderly. MATERIAL AND METHODS: A prospective observational study with patients ≥70 years treated with chemotherapy in the Cancer Unit for the Elderly, in the Medical Oncology Section of the Hospital Virgen de la Luz de Cuenca. The following tests will be performed by each patient before chemotherapy: muscle strength (handgrip, cylindrical handgrip, pinch gauge, hip flexion, knee extension), muscle mass (skeletal muscle mass index), and physical function (gait speed and 5STS test). The occurrence of severe toxicity will be recorded over a period of 4 months of chemotherapy treatment. It will be evaluated, using logistic regression analysis, whether sarcopenia (defined by the European Working Group on Sarcopenia in Older People) or frailty (defined by the phenotype of frailty) is the best predictor of chemotherapy toxicity. Using a multinomial logistic regression analysis, we will try to create the first model to predict toxicity to chemotherapy in elderly patients with diagnosis of cancer, based on the definition of sarcopenia. CONCLUSIONS: It is expected that the final analysis of this project will be useful to detect predictive factors of toxicity to chemotherapy in elderly patients with cancer.
