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Validation of Readiband™ Actigraph and Associated Sleep/Wake Classification Algorithms

Validation of Readiband™ Actigraph and Associated Sleep/Wake Classification Algorithms in Predicting Cancer Related Fatigue and Diseases Progression in High Grade Glioma

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03877861
Enrollment
7
Registered
2019-03-18
Start date
2018-03-15
Completion date
2021-05-01
Last updated
2021-06-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Glioblastoma, Glioma

Brief summary

This pilot study will assess feasibility and to obtain initial estimates of efficacy of Sleep Activity and Task Effectiveness (SAFTE) model, which can accurately estimate the impact of scheduling factors and sleep history on both safety and productivity. The SAFTE model will be used to asses cancer-related fatigue and study potential associations of change in sleep patterns to tumor recurrence in patients with high grade glioma. Data will be collected using the Readiband™ Sleep Tracker (https://www.fatiguescience.com/sleep-science-technology/). The Readiband device captures high-resolution sleep data, validated against the clinical gold standard of polysomnography with 92% accuracy. Sleep data is transmitted to the cloud automatically for SAFTE Fatigue Model analysis. We will correlate clinical progression data obtained from the patient's electronic medical record with SAFTE data.

Interventions

DEVICEReadiband Sleep Tracking

Once a patient has consented to study progression, a Readiband™ Sleep Tracker device will be provided to the patient, along with necessary instructions. Patients will return home with the device and fatigue data will be obtained from the device at subsequent standard care follow-up visits. In addition, surveys related to fatigue and quality of life will be administered via secure electronic survey to participants.

Sponsors

Allina Health System
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
22 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

i. Patients aged between 22 and 70. ii. Patients must have a histologic diagnosis of primary Grade IV glioma. iii. Patients must have received maximal debulking surgery and radiotherapy concomitant with Temozolomide (≥ 75% of their recommended temozolomide dosage is required). iv. Patients with KPS ≥70. v. Life expectancy at least 3 months. vi. Patients must have signed informed consent for study participation. vii. Patients should be English speakers.

Exclusion criteria

i. Patients enrolled in active clinical treatment trials for primary Grade IV glioma. ii. Patients with progressive disease after completion of radiotherapy concomitant with Temozolomide as per RANO criteria. Suspected pseudoprogression should be confirmed by additional imaging studies ordered as part of standard care. iii. Patients with known other active malignancy diagnosed in the past 3 years (except for in situ malignancies). iv. Patients who are pregnant or trying to get pregnant. v. Patients unable to wear the ReadiBand device continuously during study duration. vi. Patients with infra-tentorial tumors. vii. Patients with known psychiatric concerns. viii. Significant co-morbidities at baseline which would prevent maintenance Temozolomide treatment: 1. Thrombocytopenia (platelet count \< 100 x 103/μL) 2. Neutropenia (absolute neutrophil count \< 1.5 x 103/μL) 3. CTC grade 4 non-hematological Toxicity (except for alopecia, nausea, vomiting) 4. Significant liver function impairment - AST or ALT \> 3 times the upper limit of normal 5. Total bilirubin \> upper limit of normal, if clinically significant 6. Significant renal impairment (serum creatinine \> 1.7 mg/dL)

Design outcomes

Primary

MeasureTime frameDescription
Correlation between sleep patterns and disease progression/recurrenceParticipant enrollment to 12 months (or until tumor progression)An estimate of correlation between sleep patterns in the brain tumor patient population and disease progression or recurrence compared to those of the general population.

Secondary

MeasureTime frameDescription
Correlation between SAFTE fatigue predictions and self-reported fatigue levelsParticipant enrollment to 12 months (or until tumor progression)An estimate of correlation between SAFTE fatigue predictions and self-reported fatigue levels in patients with GBM
Sleep pattern differences between healthy controls and brain tumor patientsParticipant enrollment to 12 months (or until tumor progression)Comparison of differences in sleep patterns in brain tumor patients to those of the general population.
Correlation between fatigue and sleep patterns and treatment tolerance/successParticipant enrollment to 12 months (or until tumor progression)An estimate of correlation between fatigue and sleep patterns and treatment tolerance/success, as determined by MRI imaging and RANO criteria.
Change in Sleep, Activity, Fatigue, and Task Effectiveness (SAFTE) scoreParticipant enrollment to 12 months (or until tumor progression)

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026