Researchers at Mayo Clinic have found that sleep data collected from wearable wrist monitors can help predict which patients with chronic obstructive pulmonary disease (COPD) are likely to struggle with engagement in remote pulmonary rehabilitation programs. The study, published in the journal ERJ Open Research, analyzed baseline sleep metrics from devices like Fitbits and ActiGraphs.
The research team discovered that specific sleep patterns, including longer sleep onset latency (the time it takes to fall asleep) and greater sleep variability, were significantly associated with lower participation and completion rates in the subsequent rehabilitation program. These metrics proved more predictive than traditional clinical assessments alone.
"Our findings suggest that easily obtainable sleep measures could serve as a digital biomarker for identifying patients at risk of poor engagement," said lead researcher Dr. Yogesh Punekar. This allows healthcare providers to proactively offer targeted support, such as motivational counseling or sleep intervention, to improve rehab outcomes for COPD patients managing their condition from home.
