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Beyond Body Mass Index: Bringing Body Composition into Oncology Practice

超越体重指数：将身体成分纳入肿瘤学实践

基本信息

批准号：
9893839
负责人：
Elizabeth Marjorie Cespedes Feliciano
金额：
$ 17.84万
依托单位：
KAISER FOUNDATION RESEARCH INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-04-01 至 2023-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9893839
关键词：
Active Learning Address Adipose tissue Aftercare Assessment tool Biometry Body Composition Body Weight decreased Body mass index Breast Cancer Patient California Cancer Biology Cancer Patient Caring Chronic Disease Clinic Clinical Clinical Data Colorectal Colorectal Cancer Colorectal Surgery Competence Computer software Computerized Medical Record Data Data Set Ensure Epidemiology Exercise Fatty acid glycerol esters Feedback Future Goals Gold Grant Guidelines Health Personnel Image Image Analysis Institution Integrated Health Care Systems Intervention K-Series Research Career Programs Knowledge Laboratories Malignant Neoplasms Manuals Masks Measures Mediator of activation protein Medical Medical Imaging Mentors Methodology Methods Modeling Muscle Muscular Atrophy Nature Nonmetastatic Normal Range Obesity Older Population Oncologist Oncology Outcome Patients Performance Pharmacy facility Phenotype Proteins Proxy Public Health Quality of life Research Research Personnel Research Training Resources Risk Role Scanning Sensitivity and Specificity Skeletal Muscle Surgeon Surgical complication Testing Time Toxic effect Training Translational Research Weight Writing X-Ray Computed Tomography advanced analytics analytical method base bioimaging cancer care cancer epidemiology cancer survival cancer type clinical decision support clinical decision-making clinical practice clinical translation clinically relevant cohort comorbidity cost effective data visualization demographics electronic data ethnic diversity experience healthy weight improved lifestyle intervention malignant breast neoplasm member mortality muscle form nutrition patient population personalized cancer care precision oncology predictive modeling prognostic programs prototype responsible research conduct risk prediction model sarcopenia sarcopenic obesity skills software development standard of care strength training study population support tools survivorship symposium tool translational scientist tumor

项目摘要

PROJECT SUMMARY/ABSTRACT This Career Development Award will support Elizabeth Feliciano, ScD, in her transition to independence as a translational researcher utilizing electronic data to improve cancer care. Her long-term goals are to elucidate how body composition influences cancer outcomes; develop electronic tools that use routinely collected data to improve prognostication and guide clinical interventions; and collaborate to use these electronic tools in interventions that improve cancer outcomes. Sarcopenia (low skeletal muscle mass) and sarcopenic obesity (sarcopenia with excess adiposity) are common in cancer patients, typically occult, and associated with surgical complications, treatment toxicity, poor quality of life, and reduced survival across a variety of cancer types. Despite being strongly prognostic and modifiable, body composition data is under-utilized in clinical decision-making. To address this, Dr. Feliciano will develop cost-effective, clinic-friendly methods to identify patients with sarcopenia. Next, she will develop a tool that communicates body composition information to a cancer care team. Using rich electronic medical record and imaging data from a cohort of nearly 6,000 non-metastatic colorectal and breast cancer patients, she will: validate software to automatically assess body composition from clinically-acquired imaging (Aim 1); develop a predictive model to identify sarcopenia based on electronic medical data, for use in cancer patients who do not undergo imaging (Aim 2); and integrate body composition information into established risk prediction models for colorectal cancer used in clinical practice and present this information in an understandable and actionable format to clinicians (Aim 3). Dr. Feliciano is well suited to perform this research based on her experience in body composition assessment and cancer epidemiology, an exceptional mentoring team who will ensure scientific rigor and clinical relevance, and the unique setting within an integrated healthcare system with a comprehensive electronic medical record and an ethnically diverse patient population of 4.1-million members. Her institution, Kaiser Permanente Northern California, provides an ideal training ground for her to gain needed skills through coursework, conferences, seminars, and experiential learning in the following domains: advanced analytic methods (predictive modeling, biomedical image analysis, and data visualization); cancer biology and clinical cancer care; and core competencies of an independent investigator (grant-writing, responsible conduct of research, and clinical translation of research).Through the proposed research and training, she will acquire the preliminary data, knowledge, and clinical and scientific partnerships she needs to develop a competitive R01 proposal and to establish a successful research program focused on optimizing use of electronic data to improve cancer care.

项目总结/文摘