Construction and Validation of A Nomogram Risk Prediction Model for In-Stent Restenosis in Superficial Femoral Artery
10.3969/j.issn.1005-5185.2025.04.017
- VernacularTitle:股浅动脉支架再狭窄列线图风险预测模型的构建和验证
- Author:
Xiaoke ZENG
1
;
Yuan LIU
1
;
Hao ZUO
1
;
Ningshan LI
1
;
Yali XU
1
Author Information
1. 陆军军医大学第二附属医院超声科,重庆 400037
- Publication Type:Journal Article
- Keywords:
Superficial femoral artery;
Ultrasonography;
Tomography,X-ray computed;
Stents;
Nomograms;
Risk;
Prediction model
- From:
Chinese Journal of Medical Imaging
2025;33(4):422-427
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To construct and validate a risk prediction model for in-stent restenosis(ISR)nomogram in patients with superficial femoral artery stent implantation.Materials and Methods 150 cases of superficial femoral artery stent implantation patients who were hospitalized in Department of Cardiovascular Surgery of the Second Affiliated Hospital of Army Medical University from February 2016 to November 2022 were retrospectively analyzed.Risk factors for ISR in patients with superficial femoral artery stent implantation were screened using univariate analysis,least absolute shrinkage and selection operator and multifactorial Logistic regression analysis.Nomograms were produced,Bootstrap method was used for internal validation,consistency index was used for model differentiation assessment,and calibration graphs were used for calibration assessment.Results Fifty-five patients(36.7%)with ISR one year after superficial femoral artery stenting were identified.Univariate analysis,least absolute shrinkage and selection operator and Logistic regression showed a history of stroke(OR=9.152,95%CI 2.957-28.322),chronic kidney disease(OR=14.639,95%CI 2.378-90.115),fibrinogen concentration(OR=8.422,95%CI 3.139-22.594),pre-procedural occlusion(OR=3.604,95%CI 1.446-8.981)and calcified plaque(OR=5.167,95%CI 2.044-13.059)were the best predictors of the occurrence of ISR one year post-procedure in patients with stenting of superficial femoral artery.The consistency index of the prediction model was 0.876(95%CI 0.812-0.939),with specificity and sensitivity of 93.6%and 70.9%,respectively;a Brie score of 0.124,and a consistency index after internal validation of the model of 0.859,respectively.Calibration plots showed that the ideal probability curves and the actual probability curves overlapped with each other well.Conclusion The Nomogram risk prediction model of superficial femoral artery stent restenosis constructed in this study has good differentiation and calibration,and is of good value for clinical prediction of ISR in patients with superficial femoral artery stent implantation.
