JET2019

Presentation information

Poster session

[POSTER] Poster session

Fri. Feb 22, 2019 9:00 AM - 6:20 PM ポスター会場

[MP-4] Modified WIFI Score Including Nutrition status for Predicting Wound healing in CLI Patients after Endovascular Therapy.

Kenji Makino (Saiseikai Yokohama City Eastern Hospital)

Objective: WIFI score have not taken account patient background. The aim of this study was to investigate risk factors for wound healing, and impact of patient background on wound healing in CLI patients after EVT.
Method: Between April 2007 and April 2015, 302 CLI patients undergoing EVT were enrolled. Primary endpoint was wound healing rate at 1yearr and predictors of wound healing were evaluated using multivariate analysis. Multivariate analysis revealed Glasgow prognostic score<2 (GPS: HR1.62, P=0.02), Hemodialysis (HR1.76, P=0.01) as predictors of wound healing. We created 11-point scale based on the original WIFI score and results of the multivariate analysis to create a standardized score for risk of wound healing.
The modified WIFI score showed better predictive ability for wound healing than the WIFI score (AUC: 0.75 vs. 0.81, P=0.0001). Wound healing rate was well stratified:96.7% in low-risk (scores 0-3), 82.2% in moderate-risk (4-6), and 51.8% in high-risk (>7) patients (P<0.001).
Conclusion: Patients background including Nutrition status was important for wound healing and this modified score system is useful for predicting wound healing and risk stratification of CLI patients after EVT