Evidence map›Paper›PMID 41832740›Full record

ArticleCurrent neurovascular research2026

Prognostic Factors for In-stent Restenosis After Cerebrovascular Stent Implantation among Ischemic Stroke Patients.

Shiliang Xia, JIaxing You, Delong Wang, Xueyu Mao, Shidong Wei, Yunhe Luo, Zhengbao Zhu, Faqing Long, Jin Zheng

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Article in Current neurovascular research, 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shiliang XiaDepartment of Neurology, Minhang Hospital, Fudan University, Shanghai, China.
JIaxing YouDepartment of Epidemiology, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province, China.
Delong WangDepartment of Neurology, Minhang Hospital, Fudan University, Shanghai, China.
Xueyu MaoDepartment of Neurology, Minhang Hospital, Fudan University, Shanghai, China.
Shidong WeiDepartment of Neurology, Minhang Hospital, Fudan University, Shanghai, China.
Yunhe LuoDepartment of Neurology, Minhang Hospital, Fudan University, Shanghai, China.
Zhengbao ZhuDepartment of Epidemiology, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province, China.
Faqing LongDepartment of Neurology, Second Affiliated Hospital of Hainan Medical College, Hainan, China.
Jin ZhengDepartment of Neurology, Minhang Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn-stent restenosis (ISR) critically impacts the efficacy of cerebrovascular stent implantation. We investigated the influence of clinical factors on the ISR.

methodsA total of 251 patients with ischemic stroke undergoing cerebrovascular stenting from November 2014 to March 2020 were recruited. The primary outcome was ISR within 12 months. Predictors were selected using the least absolute shrinkage and selection operator regression and logistic regression to build a nomogram. Model discriminative ability, calibration, and clinical utility were evaluated via the area under receiver operating characteristic curves (AUC), calibration plots, and decision curve analysis.

resultsMultivariate analysis identified coronary artery disease (OR, 3.35; 95% CI, 1.26-9.21; P=0.016), neutrophil-to-lymphocyte ratio (NLR, OR, 1.84; 95% CI, 1.50-2.37; P<0.001), and residual stenosis (OR, 1.08; 95% CI, 1.02-1.15; P=0.012) as independent risk factors for ISR. Hypertension, coronary artery disease, NLR, and residual stenosis were incorporated into the nomogram model. The model demonstrated an AUC of 0.862 (95% CI 0.783-0.929) upon internal validation. Subgroup analyses revealed no statistically significant heterogeneity stratified by age, gender, and stenosis location (all P≥0.1). DISCUSSION: Hypertension and NLR were potential predictive factors for in-stent restenosis after cerebrovascular stent implantation. In addition, patients with vertebral artery stenosis had a higher risk of in-stent restenosis than those with internal carotid artery stenosis.

conclusionCoronary artery disease, NLR, and residual stenosis were potential predictive factors for ISR after cerebrovascular stent implantation. The developed nomogram helps in identifying patients at high risk for ISR.

Indexed as

Ischemic StrokeStentsAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk Factorscerebrovascular stent implantationcoronary artery diseaseinternal carotid arteryRecurrent stenosisrisk factorsvertebral artery

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PMID41832740

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