The Association Between Physical Activity/Heart Rate Variability Data Obtained Using a Wearable Device and Timed Motor Functional Tests in Patients with Duchenne Muscular Dystrophy: A Pilot Study.

Background: Duchenne muscular dystrophy (DMD) is a devastating X-linked muscle disease. Clinical evaluation of DMD uses patient-intensive motor function tests, and the recent development of wearable devices allows the collection of a variety of biometric information, including physical activity. Objective: In this study, we examined differences in physical activity and heart rate variability (HRV) between patients with DMD and healthy subjects using a wearable device, and investigated any association between these parameters and motor function in patients with DMD. Methods: Participants were 7 patients with DMD and 8 healthy males, whose physical activity and HRV were provided by a wearable device. These data were used to investigate the relationship between both physical activity and HRV parameters and timed motor functional tests [Time to stand from supine, 10-meter walking time (10MWT), North Star Ambulatory Assessment (NSAA), and 6-minute walking test (6MWT)] in patients with DMD. Results: Results of 24-hours physical activity, fat burning, total number of steps and active distance, average step rate, average exercise intensity during walking, exercise, degree of forward lean during walking, maximum heart rate, normalized low frequency power (LF norm), and maximum exercise intensity in patients with DMD were lower than those in control subjects. Physical activity and HRV parameters did not correlate with the time to stand from supine. The 10MWT positively correlated with average heart rate, while NSAA negatively correlated with average heart rate, total frequency power (TF), and very low frequency power (VLF) during arousal. The 6MWT negatively correlated with ratio LF/high frequency power (HF). CONCLUSIONS: Physical activity and HRV indices that differ from those of normal children and that correlate with motor function assessment may serve as digital biomarkers.

Central monitoring of depression and anxiety symptoms reduces placebo responses in depression clinical trials: A post hoc exploratory analysis of data from the phase III CCT-004 trial of vortioxetine.

AIM: Clinical trials of antidepressants often fail to demonstrate their efficacy versus placebo, suggesting that patient selection based on physician ratings of depression may contribute to a high placebo response. METHODS: In the CCT-004 trial of vortioxetine, central monitoring was employed to compare physician and patient ratings of depression and anxiety at baseline and over time to identify factors contributing to a large placebo response, as well as to explore the potential of a unique patient-rated clinical measure combining QIDS-J and Himorogi Self-rating Anxiety Scale (HSAS), to contribute to optimal patient selection at baseline and patient monitoring over time. RESULTS: The CCT-004 trial showed similar trends between the QIDS-J and MADRS (Montgomery-Åsberg Depression Rating Scale) ratings. It was suggested that central monitoring of the QIDS-J and MADRS ratings of depression and anxiety symptoms helped reduce the baseline score inflation by calling the study sites' attention to discrepancies between these ratings at baseline; it also allowed these ratings to be assessed for their concordance over time. Of note, MDD patients with baseline QIDS-J scores ≥11/HSAS ≤19 were associated with the smallest placebo response, with the effect size being larger than that for those with QIDS-J scores ≤10/HSAS ≥20. CONCLUSION: The use of both physician and patient ratings of depression and anxiety symptoms at baseline and over time, as well as their central monitoring, helped minimize the baseline score inflation and optimize patient monitoring over time, and allowed the antidepressant to be evaluated for its full therapeutic potential.