Home-based Respiratory Muscle Training for Cancer Treatment Side Effects
This study is looking at whether home-based respiratory muscle training (RMT) can help reduce side effects for people undergoing cancer treatment. RMT involves breathing exercises to strengthen your breathing muscles. The study focuses on patients with breast, head and neck, or lung cancer who are receiving chemotherapy, immunotherapy, or radiation. Researchers want to see if RMT can improve heart and lung health, exercise ability, and quality of life, which can be affected by cancer treatments. They are also looking at how RMT might impact symptoms like stress, fatigue, and shortness of breath. You would be randomized to receive either lower or higher resistance RMT.
- Study design
- This interventional study plans to enroll 130 participants. Participants will be randomized into two groups, one receiving lower resistance RMT and the other higher resistance RMT.
- What's involved
- You would undergo respiratory muscle training for 12 weeks. You would also wear an accelerometer and complete surveys.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study measures participation and adherence to RMT for up to 12 weeks.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Home-based Respiratory Muscle Training for Minimizing Side Effects in Patients Undergoing Treatment for Cancer
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Ellis Levine, MD · PRINCIPAL_INVESTIGATOR · Roswell Park Cancer Institute
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Proportion of patients who participate in the studyUp to 12 weeks
- Proportion of patients who remain on studyUp to 12 weeks
- Proportion of patients who perform >= 3 respiratory muscle training (RMT) sessions/weekUp to 12 weeks
Overall compliance rates (compliance at all time points) will be estimated using 90% confidence intervals. Additionally, compliance status will be modeled as a function of time (e.g., week), and pre-specified exogenous factors (e.g., baseline age, performance status, self-reported history of exercise, breast cancer (BC) treatment received, treatment side-effects) using a generalized estimating equation (GEE) logistic regression model (auto-regressive covariance structure). Estimates of compliance rates will be obtained by time-point and tests about the appropriate contrasts of model estimates will be used to determine if there is a time trend.
- Proportion of patients who perform > 70% of their RMT sessionsUp to 12 weeks
Adherence rates (completion of \>= 70% of sessions) will be estimated using 90% confidence intervals. Additionally, compliance status will be modeled as a function of time (e.g., week), and pre-specified exogenous factors (e.g., baseline age, performance status, self-reported history of exercise, BC treatment received, treatment side-effects) using a GEE logistic regression model (auto-regressive covariance structure). Estimates of compliance rates will be obtained by time-point and tests about the appropriate contrasts of model estimates will be used to determine if there is a time trend.