Evidence map›Paper›PMID 41622164›Full record

ArticleBMC surgery2026

Multivariate analysis and individualized nomogram construction for predicting radial artery occlusion risk after transradial intervention.

Bing Xie, Na Chen, Yi Teng, Hui Feng

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Article in BMC surgery, 2026. 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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5 · Who and what money

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4 authors.

Bing Xie1Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Xuzhou, Jiangsu, 221000, China.
Na Chen2Department of Cardiology, Shangzhou District People's Hospital, Shangluo City, Shanxi Province, 726000, China.
Yi Teng1Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Xuzhou, Jiangsu, 221000, China.
Hui Feng1Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Xuzhou, Jiangsu, 221000, China. 17712985878@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify independent risk factors for radial artery occlusion (RAO) after coronary angiography (CAG) and percutaneous coronary intervention (PCI), and to develop risk prediction models for CAG, PCI, and the overall population.

methodsThis retrospective study included 781 patients undergoing CAG or PCI. RAO occurrence was recorded. Baseline characteristics, intraoperative factors, and laboratory indicators were collected. Variables were screened using univariate logistic regression and LASSO regression. Independent risk factors were identified via multivariate logistic regression to develop nomogram prediction models. Model performance was evaluated using receiver operating characteristic curves, calibration curves, and decision curve analysis.

resultsThe overall RAO incidence was 8.32%, significantly higher in the CAG group than the PCI group (11.26% vs. 5.64%, P=0.007). Independent risk factors for RAO in the CAG group were female, elevated creatine kinase, multiple punctures, radial artery spasm, and puncture site pain, with BMI ≥25 kg/m² as a protective factor; in the PCI group, heart failure, multiple punctures, and puncture site pain, with elevated creatinine as a protective factor; in the overall population, smoking, heart failure, high CHA₂DS₂VASc score, multiple punctures, radial artery spasm, and puncture site pain, with BMI ≥25 kg/m² and elevated creatinine as protective factors. The prediction models demonstrated good discriminatory ability in each group (AUCs: 0.979, 0.921, and 0.951, respectively) and clinical utility.

conclusionRisk prediction models for RAO established in patients undergoing CAG, PCI, and the overall population can accurately identify high-risk patients, providing a reference for individualized clinical prevention and treatment. Multiple punctures, radial artery spasm, and puncture site pain are significant, modifiable risk factors.

Indexed as

Arterial Occlusive DiseasesCoronary AngiographyNomogramsPercutaneous Coronary InterventionRadial ArteryAgedFemaleHumansIncidenceMaleMiddle AgedMultivariate AnalysisRetrospective StudiesRisk AssessmentRisk FactorsCoronary angiographyPercutaneous coronary interventionPrediction model​Radial artery occlusionRisk factors

Identifiers

PMID41622164
PMCPMC12955333

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.