Objective The aim to assess the methodology and feasibility of ultrasound guided percutaneous thrombin injection(UGTI) for the treatment of Iarogenic Femoral Arterial Complexity Pseudoaneurysms(IFACP).Methods Thirty two iarogenic femoral arterial complexity pseudoaneurysms patients following femoral arerial puncture for arterial angiography were treated with UGTI.Twenty-three IFACP with 2 lobes,8 IFACP with 3 lobes,1 IFACP with 4 lobes.Under local anesthesia the lobe was pene trated by artery needle successively and thrombin jection was performed slowely into distal lobe with US guide precise localization.Dynamical observation was performed for the status of thrombogenesis and cavity plugging.US follow-up examination were performed after 24 h and 7 d.Results Reperfusion occurred in IFACP with 3 lobes after 24 h and UGTI failure.IFACPs with 4 lobes failure.Nothromboembolic,infectious,allergic complication soccurred.Conclusion UGTI is the first mothed for the treatment of IFACP.Precise localization and percutaneous can enhance the ratio of treatment of IFACPs and avoid the severe complications.

Objective To construct and validate a risk prediction model for delayed healing of venous leg ulcer(VLU),so as to provide a reference basis for early identification of people at high risk of delayed healing.Methods Using a convenience sampling method,331 VLU patients attending vascular surgery departments in 2 tertiary A hospitals in Sichuan Province from January 2018 to December 2022 were selected as a modeling group and an internal validation group,and 112 patients admitted to another tertiary A hospital were selected as an external validation group.Risk factors for delayed healing in VLU patients were screened using univariate analysis,LASSO regression,and multivariate logistic regression analysis,and a risk prediction model was constructed using R software,and the predictive effects of the models were examined using the area under the receiver operating characteristic curve,the Hosmer-Lemeshow test,decision curve,and the bootstrap resampling for internal validation and spatial external validation were performed,respectively.Results The predictors that ultimately entered the prediction model were diabetes(OR=4.752),deep vein thrombosis(OR=4.104),lipodermatosclerosis(OR=5.405),ulcer recurrence(OR=3.239),and ankle mobility(OR=5.520).The model had good discrimination(AUC:0.819 for internal validation and 0.858 for external validation),calibration(Hosmer-Lemeshow test:χ2=13.517,P=0.095 for internal validation and χ2=3.375,P=0.909 for external validation)and clinical validity.Conclusion The model constructed in this study has good differentiation and calibration,and it can effectively predict people at high risk of delayed healing of VLU,which facilitates targeted clinical interventions to improve ulcer outcomes and reduce the risk of delayed ulcer healing.