Digital Phenotyping (Physical Activity, Heart Rate, Sleep) in Young Breast Cancer Patients Treated With Neoadjuvant Chemotherapy
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 300
- 试验地点
- 5
- 主要终点
- Describe sleep profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
研究概览
简要总结
NeoFit is a prospective, national, multicenter, single-arm open-label study. It will include a total of 300 participants under the age of 70 years treated with neoadjuvant chemotherapy for BC. Participants will receive a Withing Steel HR activity tracker, which they will be asked to wear 24 h per day for 12 months. The principal assessments will be performed at baseline, at the end of neoadjuvant chemotherapy and at 12 months. The investigators will evaluate clinical (e.g. toxicity, efficacy of chemotherapy), lifestyle, quality of life, fatigue, and physical activity parameters. All questionnaires will be completed on a REDCap form, via a secure internet link.
详细描述
BACKGROUND: In young women, breast cancer (BC) has particular characteristics, such as a more advanced stage at diagnosis, aggressive tumor characteristics, and a poorer prognosis. NeoFit aims to use an activity tracker to identify and describe various digital profiles (physical activity, heart rate, sleep) in women under 70 years of age treated with neoadjuvant chemotherapy for BC.
METHODS: NeoFit is a prospective, national, multicenter, single-arm open-label study. It will include a total of 300 participants under the age of 70 years treated with neoadjuvant chemotherapy for BC. Participants will receive a Withing Steel HR activity tracker, which they will be asked to wear 24 h per day for 12 months. The principal assessments will be performed at baseline, at the end of neoadjuvant chemotherapy and at 12 months. The investigators will evaluate clinical (e.g. toxicity, efficacy of chemotherapy), lifestyle, quality of life, fatigue, and physical activity parameters. All questionnaires will be completed on a REDCap form, via a secure internet link.
DISCUSSION: NeoFit will make it possible, through the use of an activity tracker, to visualize changes, over a one-year period, in the lifestyle of young women treated for BC by neoadjuvant chemotherapy. This exploratory study will provide fundamental knowledge about the digital phenotypes of young BC patients treated with NAC and their relationships to chemotherapy toxicity and efficacy. This trial will pave the way for interventional studies on physical activity and sleep interventions.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Supportive Care
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 70 Years（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Describe sleep profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
时间窗: Month 12
The activity tracker will register sleep duration for each day. The investigators will plot the average sleep duration and the 95% confidence interval across the entire study period. Then will tudy the change in sleep duration trajectory during the study. Linear mixed model will be used for describing change over time
Describe heart rate profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
时间窗: Month 12
The activity tracker will register heart rate at 10-minute intervals for each day. The investigators will plot the average heart rate frequency and the 95% confidence interval across the entire study period. Then will will study the change in heart rate frequency trajectory during the study. Linear mixed model will be used for describing change over time
Describe physical activity profiles in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
时间窗: Month 12
The activity tracker will register step counts for each day. the investigators will plot the average daily step counts and the 95% confidence interval across the entire study period. Then will will study the change in step count trajectory during the study. Linear mixed model will be used for describing change over time
Identify digital profiles (physical activity, heart rate, sleep) in breast cancer patients under 70 years of age treated by neoadjuvant chemotherapy
时间窗: Month 12
To identify digital profiles, The investigators will combine step counts profiles, heart frequency profiles and sleep profiles using mixed models with latent classes. The use of a mixed model will make it possible to analyze repeat data for the population, and to determine an average profile or trajectory for the whole population. The optimal number of classes will be determined a posteriori, based on a set of statistical and clinical criteria. The most widely used statistical criterion is the "Bayesian information criterion" (BIC), which penalizes the model's likelihood according to its complexity. The BIC, which is stricter than many other criteria, has been shown to have a better performance in simulations. The number of trajectories will also be based on clinical interpretation (whether it is worthwhile retaining classes containing very small numbers of subjects, etc.).
次要结局
- Analyze the effects of digital profiles on treatment toxicity(End of neoadjuvant chemotherapy, Month 12)
- Develop models for predicting toxicity during the course of treatment(End of the neoadjuvant chemotherapy, Month 12)
- Develop models for predicting fatigue changes during the course of treatment(End of the neoadjuvant chemotherapy, Month 12)
- Develop models for predicting quality of life changes during the course of treatment(End of the neoadjuvant chemotherapy, Month 12)
- Analyze the effects of digital profiles on quality of life(End of neoadjuvant chemotherapy, Month 12)
- Analyze the effects of digital profiles on fatigue(End of neoadjuvant chemotherapy, Month 12)