이 페이지는 자동 번역되었으며 번역의 정확성을 보장하지 않습니다. 참조하십시오 영문판 원본 텍스트의 경우.

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

2026년 9월 1일 업데이트: 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.

연구 개요

상태

아직 모집하지 않음

상세 설명

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.

연구 유형

중재적

등록 (추정된)

48

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

  • 이름: Andrew Dhawan, MD, DPhil
  • 전화번호: 216-444-5322
  • 이메일: dhawana@ccf.org

연구 장소

    • Ohio
      • Cleveland, Ohio, 미국, 44106
        • Cleveland Clinic, Case Comprehensive Cancer Center
        • 연락하다:
          • Andrew Dhawan, MD, DPhil
          • 전화번호: 216-444-5322
          • 이메일: dhawana@ccf.org

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인
  • 고령자

건강한 자원 봉사자를 받아들입니다

아니

설명

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.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 장치 타당성
  • 할당: 무작위
  • 중재 모델: 병렬 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: 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.
실험적: 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.
실험적: 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.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Predicting Karnofsky Performance Scale (KPS) decline
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 12 months
number of participants enrolled within 9-12 months
12 months
Dropout rate
기간: 12 months
Number of participants who do not complete study, assessed at study completion
12 months
Alert pathway feasibility
기간: 5 months
Alert frequency per participant-month and proportion judged clinically relevant.
5 months

2차 결과 측정

결과 측정
측정값 설명
기간
Number of unplanned hospitalizations and ED visits per participant-month
기간: 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
기간: 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)
기간: 12 months
Time from enrollment to first radiographic or clinical progression; assessed throughout treatment period
12 months
Overall survival (OS)
기간: 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
기간: 12 months
Assessed at each treatment visit per participant per month (mean, variance)
12 months
Time from alert trigger to clinician-documented neurological progression
기간: 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
기간: 12 months
Assessed at each treatment visit per participant per month (mean, variance)
12 months
Participant symptoms
기간: 12 months
Logged per type per participant per month. Assessed at each treatment visit
12 months
Variance in accelerometry
기간: 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)
기간: 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
기간: 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
기간: 12 months
Collected via exit questionnaire at withdrawal or study completion
12 months
Participant device wear
기간: 12 months
Collected via exit survey and structured questionnaires at each visit for participant reported quality of life (QOL)
12 months
Participant symptom logging
기간: 12 months
Collected via exit survey and structured questionnaires at each visit for participant reported quality of life (QOL).
12 months
Participant app usage
기간: 12 months
Collected via exit survey and structured questionnaires at each visit for participant reported quality of life (QOL).
12 months

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

수사관

  • 수석 연구원: Andrew Dhawan, MD, DPhil, Cleveland Clinic, Case Comprehensive Cancer Center

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 11월 1일

기본 완료 (추정된)

2027년 5월 15일

연구 완료 (추정된)

2027년 11월 15일

연구 등록 날짜

최초 제출

2026년 6월 30일

QC 기준을 충족하는 최초 제출

2026년 7월 9일

처음 게시됨 (실제)

2026년 7월 15일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 9월 3일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 9월 1일

마지막으로 확인됨

2026년 9월 1일

추가 정보

이 연구와 관련된 용어

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

아니요

IPD 계획 설명

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).

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

구독하다