ArticleFrontiers in surgery2025
Construction and validation of a prediction model for complications of femoral artery access.
Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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8 authors.
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Abstract
Objective: To analyze the risk factors for the complications of access and to construct and validate a nomogram prediction model for their occurrence. Methods: Patients undergoing endovascular intervention via femoral artery access between January 2020 and April 2025 were enrolled in the study. Related clinical data were retrospectively collected and analyzed. Patients were divided into complication ( Results: Four potential predictors were identified based on the multivariate logistic regression analysis results: vascular calcification [odds ratio (OR) = 7.952, 95% confidence interval (CI): 1.653-38.254], history of diabetes (OR = 18.793, 95% CI: 3.670-96.225), platelet count (OR = 0.980, 95% CI: 0.967-0.994), and positional relationship between the puncture point and femoral head (OR = 6.125, 95% CI: 1.048-35.800). The nomogram model incorporating these factors demonstrated strong performance, with an area under the ROC curve of 0.924 (95% confidence interval: 0.839-1.000), sensitivity of 81.80%, specificity of 95.20%, and overall accuracy of 94.70%.The Hosmer-Lemeshow test yielded Conclusions: Platelet count, history of diabetes, vascular calcification, and positional relationship between the puncture point and the femoral head are independent risk factors for the complications of femoral artery access. The nomogram model established based on these indicators demonstrated a high accuracy in predicting the risk of complications.
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