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Wearable-Triggered Digital Safety Net for Real-Time Monitoring & Intervention in Leptomeningeal Metastasis

2026年9月1日 更新者:Case Comprehensive Cancer Center

Wearable-Triggered Digital Safety Net for Real-Time Monitoring and Intervention in Leptomeningeal Metastasis

This research study is for participants diagnosed with leptomeningeal metastasis disease (LMM), a condition where cancer has spread to the fluid and membranes surround the brain and spinal cord. The purpose of this study is to find out whether a consumer Smartwatch can continuously monitor the participant's health and detect early signs of neurological decline and whether sending an automatic alert to the participant's doctor when a change is detected can help reduce the number of participant hospitalizations.

研究概览

详细说明

LMM is a condition where cancer has spread to the fluid and membranes surrounding the brain and spinal cord. It is a common complication of cancer and affects about 5-15% of all cancer patients. It causes rapid neurological decline and survival is usually around 6-12 months. LMM is treated with chemotherapy radiation, but this does not improve neurological function or quality of life. Many of the current assessments for LMM are not good detecting progression and symptoms are often missed.

There will be two parts to this study. Smartwatches will be used to continuously capture data such as gait stability, heart rate variability (HRV), step count, and sleep, which are affected by LMM. The first part of this study is to learn whether this can help detect early signs of neurological decline. The second part of this study will test whether sending an automatic alert to the participant's doctor when a change is detected can help reduce the amount of times the participants are admitted to the hospital unexpectedly.

研究类型

介入性

注册 (估计的)

48

阶段

  • 不适用

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习联系方式

  • 姓名:Andrew Dhawan, MD, DPhil
  • 电话号码:216-444-5322
  • 邮箱:dhawana@ccf.org

学习地点

    • Ohio
      • Cleveland、Ohio、美国、44106
        • Cleveland Clinic, Case Comprehensive Cancer Center
        • 接触:
          • Andrew Dhawan, MD, DPhil
          • 电话号码:216-444-5322
          • 邮箱:dhawana@ccf.org

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 成人
  • 年长者

接受健康志愿者

不

描述

Inclusion Criteria:

  • Participants must have leptomeningeal metastasis (LMM) diagnosed per clinical, imaging, and/or CSF/cytology criteria (cytology, flow cytometry, or circulating tumor DNA), arising from any solid or hematologic tumor primary.
  • Participants must be undergoing active anti-cancer therapy (systemic, intrathecal, and/or radiation) or active surveillance for LMM.
  • Age ≥18 years at the time of study enrollment. Because no safety or dosing data are available for wearable monitoring studies in children with LMM, participants under 18 years of age are excluded.
  • Karnofsky Performance Status (KPS) ≥50 at time of study enrollment [See Appendix I], to ensure feasibility of wearing the device for ≥10 hours/day.
  • Participants must have access to a compatible smartphone:

    • iPhone running iOS 16 or higher and willingness to wear Apple Watch ≥10 hours/day; OR
    • Android smartphone compatible with the study application and willingness to wear Samsung Galaxy Watch ≥10 hours/day.
  • Ability to provide informed consent (or a legally authorized representative [LAR] is available and willing to provide consent on the participant's behalf, if appropriate).

Exclusion Criteria:

  • Anticipated life expectancy <4 weeks at time of screening, per the treating physician.
  • Severe dermatologic or musculoskeletal conditions precluding smartwatch wear (e.g., significant skin conditions on the wrist or forearm where the device will be placed, including tattoos that may substantially interfere with optical sensor function).
  • Inability to adhere to study procedures after training, as assessed by the study team at enrollment.
  • No access to a compatible smartphone (participant or caregiver) to interface with the watch application for symptom documentation and data transfer.
  • Inability to give informed consent due to severe aphasia, severe cognitive impairment, or other language barrier, unless a legally authorized representative is available and willing to participate.

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:设备可行性
  • 分配:随机化
  • 介入模型:并行分配
  • 屏蔽:无(打开标签)

武器和干预

参与者组/臂
干预/治疗
实验性的:A - Crossover at month 2
Participants cross-over to Stepped Wedge Intervention Phase at month 2.
Apple Watch Series 6+ or Samsung Galaxy Watch 4+ worn 10+ hours/day for 4+ days/week for 6 months. Passive wearable data collection from in-house cross-platform app to find out patient-specific digital signal thresholds for neurological decline, symptom logging, daily sync reminders, and monthly EORTC-QLQ-C30 surveys.
Apple Watch Series 6+ or Samsung Galaxy Watch 4+ worn 10+ hours/day for 4+ days/week for 5 months. Active monitoring with alerts using the data collected from the in-house cross-platform app and sent to study neuro-oncologist.
实验性的:B - Crossover at month 3
Participants cross-over to Stepped Wedge Intervention Phase at month 3.
Apple Watch Series 6+ or Samsung Galaxy Watch 4+ worn 10+ hours/day for 4+ days/week for 6 months. Passive wearable data collection from in-house cross-platform app to find out patient-specific digital signal thresholds for neurological decline, symptom logging, daily sync reminders, and monthly EORTC-QLQ-C30 surveys.
Apple Watch Series 6+ or Samsung Galaxy Watch 4+ worn 10+ hours/day for 4+ days/week for 5 months. Active monitoring with alerts using the data collected from the in-house cross-platform app and sent to study neuro-oncologist.
实验性的:C - Crossover at month 4
Participants cross-over to Stepped Wedge Intervention Phase at month 4.
Apple Watch Series 6+ or Samsung Galaxy Watch 4+ worn 10+ hours/day for 4+ days/week for 6 months. Passive wearable data collection from in-house cross-platform app to find out patient-specific digital signal thresholds for neurological decline, symptom logging, daily sync reminders, and monthly EORTC-QLQ-C30 surveys.
Apple Watch Series 6+ or Samsung Galaxy Watch 4+ worn 10+ hours/day for 4+ days/week for 5 months. Active monitoring with alerts using the data collected from the in-house cross-platform app and sent to study neuro-oncologist.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Predicting Karnofsky Performance Scale (KPS) decline
大体时间:6 months
Karnofsky Performance scale of 100-0. Sensitivity, specificity, Positive Predictive Value (PPV), and lead time of participant-specific thresholds. Assessed from calibration phase data if there is a greater than10-point KPS decline.
6 months
Predicting neurological progression
大体时间:6 months
Sensitivity, specificity, PPV, and lead time of participant-specific thresholds. Assessed from calibration phase data.
6 months
Days in hospital per participant-month during silent monitoring periods
大体时间:5 months
Taken from EMR by staff blinded to alert status. Defined as incidence rate ratios (IRRs) with 95% CIs using mixed-effects negative binomial regression.
5 months
Days in hospital per participant-month during active alerting periods
大体时间:5 months
Taken from EMR by staff blinded to alert status. Defined as incidence rate ratios (IRRs) with 95% CIs using mixed-effects negative binomial regression.
5 months
Participant completion
大体时间:5 months
80% or more of participants completing 3 months or more of active monitoring with median wear of 10 or more hours on 4 or more days/week
5 months
Recruitment rate
大体时间:12 months
number of participants enrolled within 9-12 months
12 months
Dropout rate
大体时间:12 months
Number of participants who do not complete study, assessed at study completion
12 months
Alert pathway feasibility
大体时间:5 months
Alert frequency per participant-month and proportion judged clinically relevant.
5 months

次要结果测量

结果测量
措施说明
大体时间
Number of unplanned hospitalizations and ED visits per participant-month
大体时间:5 months
Evaluate the efficacy of alert pathway in reducing unplanned hospitalization and ED visits. EMR review throughout Phase 2 during active vs. silent periods.
5 months
European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 ( EORTC-QLQ-C30) total and subscale scores
大体时间:6 months
EORTC-QLQ-C30 is a 30 item validated questionnaire to determine the participant's quality of life. The questions are in a 4- point scale from 1 ("Not at all)" to 4 ("Very much"). A higher functional or global health score represents a higher quality of life, while a higher symptom score means a higher level of reported symptoms. Change in EORTC-QLQ-C30 will be measured from baseline at each time point.
6 months
Progression-free survival (PFS)
大体时间:12 months
Time from enrollment to first radiographic or clinical progression; assessed throughout treatment period
12 months
Overall survival (OS)
大体时间:12 months
Time from enrollment to death; assessed throughout treatment period and via medical record review
12 months
Wearable data quantity across iOS and Android platforms
大体时间:12 months
Assessed at each treatment visit per participant per month (mean, variance)
12 months
Time from alert trigger to clinician-documented neurological progression
大体时间:5 months
Evaluate the efficacy of alert pathway in reducing unplanned hospitalization and ED visits. EMR review throughout Phase 2 during active vs. silent periods.
5 months
Wearable data quality across iOS and Android platforms
大体时间:12 months
Assessed at each treatment visit per participant per month (mean, variance)
12 months
Participant symptoms
大体时间:12 months
Logged per type per participant per month. Assessed at each treatment visit
12 months
Variance in accelerometry
大体时间:12 months
This device is used to track changes in physical activity and sleep patterns. Assessed at study completion
12 months
Variance in heart rate variability (HRV)
大体时间:12 months
This device assess HRV, which is where the amount of time between heartbeats fluctuate slightly. The participant's heart data will be collected and used to see if there any changes from the participant's month 1 mean. Assessed at study completion
12 months
Variance in gait metrics
大体时间:12 months
This device assesses the speed, step length and asymmetry to see if changes these can predict any clinical events by days to weeks.
12 months
Reasons for dropout
大体时间:12 months
Collected via exit questionnaire at withdrawal or study completion
12 months
Participant device wear
大体时间:12 months
Collected via exit survey and structured questionnaires at each visit for participant reported quality of life (QOL)
12 months
Participant symptom logging
大体时间:12 months
Collected via exit survey and structured questionnaires at each visit for participant reported quality of life (QOL).
12 months
Participant app usage
大体时间:12 months
Collected via exit survey and structured questionnaires at each visit for participant reported quality of life (QOL).
12 months

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Andrew Dhawan, MD, DPhil、Cleveland Clinic, Case Comprehensive Cancer Center

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (估计的)

2026年11月1日

初级完成 (估计的)

2027年5月15日

研究完成 (估计的)

2027年11月15日

研究注册日期

首次提交

2026年6月30日

首先提交符合 QC 标准的

2026年7月9日

首次发布 (实际的)

2026年7月15日

研究记录更新

最后更新发布 (实际的)

2026年9月3日

上次提交的符合 QC 标准的更新

2026年9月1日

最后验证

2026年9月1日

更多信息

与本研究相关的术语

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

不

IPD 计划说明

Data will only be shared in aggregate statistics. There is no universal standard for "raw" wearable data, making IPD sharing less useful without providing the entire technical infrastructure used by the original team. This trial is expected to generate massive datasets (gigabytes per participant). Curating, de-identifying, and hosting this volume of IPD for public access requires significant long-term funding and technical oversight that may be beyond the scope of this Investigator-Initiated Trial (IIT).

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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