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Updated: Apr 16, 2026

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
Published on: September 22, 2020
Development and validation of a new scoring system to predict wound healing after endovascular therapy in critical
Norihiro Kobayashi1, Keisuke Hirano2, Masatsugu Nakano2
1Saiseikai Yokohama City Eastern Hospital, Yokohama, Japan ovation17@gmail.com.
Purpose:
To develop a scoring system to predict wound healing in critical limb ischemia (CLI) patients treated with endovascular therapy (EVT).
Methods:
Between July 2007 and January 2013, 184 patients (118 men; mean age 73.0 years) with CLI (217 limbs) and tissue loss underwent EVT. From this cohort 236 separate wounds were divided into development (n = 118) and validation (n = 118) groups. Predictors of wound healing were identified using multivariable analysis. Each predictor was assigned a score based on its regression coefficient, and total scores were calculated, ranging from 0 to 1 for low risk up to ≥ 4 for high risk of a nonhealing wound. The performance of the scoring system in the prediction of wound healing was evaluated by calculating the area under the receiver operating characteristics (ROC) curve.
Results:
By multivariable analysis, a University of Texas grade ≥ 2 (HR 0.524, 95% CI 0.288-0.951, p = 0.034), an infected wound (HR 0.497, 95% CI 0.276-0.894, p = 0.020), dependence on hemodialysis (HR 0.459, 95% CI 0.259-0.814, p = 0.008), no visible blood flow to the wound (HR 0.343, 95% CI 0.146-0.802, p = 0.014), and major tissue loss (HR 0.322, 95% CI 0.165-0.630, p = 0.001) predicted a non-healing wound. The 1-year rates of wound healing in the low-, intermediate-, and high-risk groups were 94.6%, 67.6%, and 9.1%, respectively, in the development group (p < 0.001) and 92.3%, 70.5%, and 31.3%, respectively, in the validation sample (p < 0.001). The area under the ROC curve was 0.922 in the development group and 0.808 in the validation sample.
Conclusion:
This scoring system reliably predicts wound healing in CLI patients after endovascular revascularization and is potentially helpful in deciding if additional adjuncts or revascularization should be considered.

