Machine learning‐based risk prediction model for neuropathic foot ulcers in patients with diabetic peripheral neuropathy
Machine learning‐based risk prediction model for neuropathic foot ulcers in patients with diabetic peripheral neuropathy
Ge-zi Shi,Zhenxuan Gao,9 Authors,Li Zhang
TLDR
A large number of patients with DPN are at risk of developing neuropathic foot ulcers, which can progress rapidly and lead to severe outcomes, including infection, gangrene, and amputation.
Abstract
Diabetic peripheral neuropathy (DPN) is a common chronic complication of diabetes, marked by symptoms like hyperalgesia, numbness, and swelling that impair quality of life. Nerve conduction abnormalities in DPN significantly increase the risk of neuropathic foot ulcers (NFU), which can progress rapidly and lead to severe outcomes, including infection, gangrene, and amputation. Early prediction of NFU in DPN patients is crucial for timely intervention.