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A decision tree algorithm to identify predictors of post-stroke complex regional pain syndrome
Yuichi Katsura1,2, Satoshi Ohga3, Kazuhiro Shimo4
1Faculty of Rehabilitation, Kobe Gakuin University Graduate School, 518, Arise, Ikawadani-cho, Nishi-ku, Kobe, Hyogo, 651-2180, Japan.
Scientific Reports
|April 30, 2024
Summary
Physical inactivity and limb disuse are key risk factors for developing post-stroke complex regional pain syndrome (CRPS). Early intervention to increase physical activity and improve limb function may reduce CRPS incidence.
Area of Science:
- Rehabilitation Medicine
- Neurology
- Pain Management
Background:
- Post-stroke complex regional pain syndrome (CRPS) is a debilitating condition.
- Identifying risk factors is crucial for effective prevention strategies.
Purpose of the Study:
- To identify risk factors for post-stroke CRPS.
- To assess the role of limb disuse and physical inactivity in CRPS development.
Main Methods:
- Prospective cohort study of 195 stroke patients.
- Utilized decision tree algorithm to analyze risk factors.
- Assessed upper/lower limb disuse (Fugl-Meyer, ARAT, MAL) and physical inactivity (IPAQ-SF).
Main Results:
- CRPS incidence was 15.4% at 3 months post-stroke.
- Physical inactivity (IPAQ-SF), upper limb disuse (FMA-UE), and lower limb disuse (FMA-LE) were identified as risk factors.
- High risk (84.6% incidence) observed in patients with prolonged inactivity and severe limb disuse.
Conclusions:
- Lower limb disuse and physical inactivity, alongside upper limb disuse, increase post-stroke CRPS risk.
- Promoting physical activity and addressing motor paralysis in both limbs may mitigate CRPS development.
