Physical Activity During Chemo- and/or Immunotherapy for Lung Cancer

Overview

The main goal of this trial is to describe the pattern of physical activity in patients with non-small cell lung cancer during chemo- and/or immunotherapy, to evaluate potential predictors of those patterns and to assess potential correlations with patient reported outcomes (pain-, distress-, and fatigue scores). To reach this goal, this trial will be first trial in which the mean number of steps per week performed at baseline and during each week of chemo- and or immunotherapy will be collected in a standardized prospective way. The trial is exploratory in nature with the aim to generate scientific hypotheses to be investigated in future clinical trials.

Lung cancer belongs to the most common types of solid cancer in Europe and Northern America. Most patients with non-small cell lung cancer receive chemo- and/or immunotherapy. Many patients with distant metastases (stage IV disease) are treated with chemo- and/or immunotherapy alone or combined with palliative radiotherapy. Moreover, a considerable number of patients assigned to thoracic surgery receive neoadjuvant chemo- and/or immunotherapy without irradiation. The chemo- and/or immunotherapy regimens used for non-small cell lung cancer may be associated with adverse events including fatigue. Patients who experience significant treatment-related toxicity may not be able to receive the complete chemo- and/or immunotherapy as planned. Physical activity may be helpful in this context. In a retrospective study, adherence to an exercise program was associated with fewer dose reductions and delays of chemotherapy. Moreover, several studies performed in patients with lung cancer suggested that physical activity had a positive effect on the patient's quality of live. Thus, physical activity prior to and during chemo- and/or immunotherapy for lung cancer appears important. Adherence to an exercise program sometimes may be challenging for the patients, particularly if they experience treatment-related fatigue or other adverse events. The question arose whether an easy-to-use mobile app installed on the patient's smart phone reminding patients several times daily to perform a certain number of steps will have a positive effect on their physical activity during chemo- and/or immunotherapy. The patient's smart phone will also be used for counting the steps. Such an app is currently under development within the European Territorial Co-Operation project "Health Advancing Technologies for Elderly (HeAT)". This app will be tested in a prospective phase 2 trial. For proper sample size calculation and design of the trial, the current prospective study is required, which evaluates the weeks with a mean number of steps per week at baseline and during chemo- and/or immunotherapy for non-small cell lung cancer. The main goal of this trial is to evaluate patterns and predictors of physical activity during chemo- and/or immunotherapy for lung cancer. The primary endpoint is to assess the mean number of steps per week during the first three cycles of chemo- and/or immunotherapy for lung cancer. The baseline value is represented by the mean number of steps during the last week prior to chemotherapy and/or immunotherapy. Any type of smart phone is allowed, as long as it has a step counter. In addition, associations between mean number of steps per week and a pain-score, a distress-score and a fatigue-score will be evaluated. The recruitment of all 38 patients should be completed within 4 months. The treatment period will be 9-10 weeks (three cycles of chemo- and/or immunotherapy). This equals a total running time for the trial of approximately 6 months. Sample size calculation: Due to the exploratory character of this trial, sample size estimation is not based on a specific statistical hypothesis system. Instead, the sample size is derived by the following simple statistical reasoning and feasibility aspects. The goal of this study is to compare mean number of steps per week between various study weeks. Therefore, the effect size is considered as a relevant parametrization of the shift in mean values. The effect size defined as the mean of the paired difference divided by its standard deviation, and therefore, constitutes a standardized scale indicating the number of standard deviations by which the means differ. Assuming that an effect size of 0.5 for the mean number of steps per week between two study weeks is clinically interesting/relevant and worth to be detected, 34 patients are required to achieve a power of 80% with a level of significance of 5% (two-sided) using a t-test for comparing two paired means. This sample size is also considered feasible in this single-center trial setting considering the planned study duration. Assuming that 10% of the patients may not be included in the descriptive analyses due to lack of data, a total number of 38 patients should be enrolled to this exploratory, hypothesis-generating trial.