New model could help spot High-Risk COPD patients with hidden muscle loss
NCT ID NCT07136246
First seen Jan 31, 2026 · Last updated Jun 21, 2026 · Updated 20 times
Summary
This completed study from Fudan University looked at 200 older adults with COPD who also have sarcopenic obesity — a condition where people have both low muscle mass and excess body fat. Researchers used a device called InBody S10 to measure body composition and phase angle, aiming to build a model that predicts disease severity, quality of life, and risk of flare-ups or death. The goal is to improve early screening and personalized care for this specific group.
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Huadong hospital, Fudan University
Shanghai, Shanghai Municipality, 200040, China
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to a simple tool for doctors to predict health outcomes in older adults with both COPD and muscle loss with obesity, enabling earlier interventions.
What could go wrong
This is an observational study that only builds a model, not a treatment. The model may not be accurate for all patients or lead to direct improvements in care.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.