<body><div><figure><img src="https://img.particlenews.com/image.php?type=thumbnail_580x000&amp;url=3rvkv8_19xbDAJv00" alt="https://img.particlenews.com/image.php?url=3rvkv8_19xbDAJv00" width="1920" height="1080" ></figure>ROCHESTER, Minn. — Sleep data from wearable devices could help doctors identify patients with chronic obstructive pulmonary disease who may need extra support to stick with pulmonary rehabilitation, according to new research published in Mayo Clinic Proceedings: Digital Health.COPD is a long-term lung disease that makes it hard to breathe after airways become inflamed and narrowed and mucus builds up. The disease can also make sleeping more difficult, affecting a patient's energy levels and overall health.These factors can influence participation in pulmonary rehabilitation, which includes a combination of exercise, education and support. Mayo Clinic researchers set out to understand whether a patient's sleep quality could help predict their level of participation in remote rehabilitation activities."As a scientist and engineer, I wanted to explore how wearable data could improve the drop-out rates of remote pulmonary rehabilitation programs," Stephanie Zawada said. "By better understanding a patient's day-to-day life, we can make more personalized and potentially more effective care plan recommendations."Zawada is a Mayo Clinic research associate and first author of the study. She says she is committed to finding ways to use data to personalize care through her work on the team at the Kern Center for the Science of Health Care Delivery.In the study, researchers found that using baseline sleep data from a wrist activity monitor, combined with machine learning and traditional clinical indicators, improved the prediction of how consistently patients would participate in a 12-week home pulmonary rehabilitation program. The team made those calculations after collecting sleep measures for one week to generate a Composite Sleep Health Score before the home-based pulmonary rehabilitation began.At the end of the 12-week program, analysis showed that including the health score improved prediction of patient engagement over the study period. This information can help doctors better tailor rehabilitation programs and identify patients who may benefit from additional support."Adding wearable data provides a more comprehensive view of a patient's daily pattern," Emma Fortune Ngufor said. Ngufor is senior author of the study and a Mayo Clinic researcher in the Kern Center.She noted that sleep data is one of several inputs that can help inform care decisions, alongside clinical assessments and patient-reported information. Researchers note that additional investigation is needed to validate and refine the model in broader patient populations before broader clinical application.</div></body>

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ROCHESTER, Minn. — Sleep data from wearable devices could help doctors identify patients with chronic obstructive pulmonary disease who may need extra support to stick with pulmonary rehabilitation, according to new research published in Mayo Clinic Proceedings: Digital Health. COPD is a long-term lung disease that makes it hard...

Mayo Clinic study: Sleep data from wearables could improve COPD care plans

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ROCHESTER, Minn. — Sleep data from wearable devices could help doctors identify patients with chronic obstructive pulmonary disease who may need extra supp

Mayo Clinic study: Sleep data from wearables could improve COPD care plans

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