Evidence map›Paper›PMID 41703472›Full record

ArticleBMC neurology2026

Analysis of factors influencing recurrent stroke due to symptomatic non-acute middle cerebral artery occlusion and prediction modelling.

Fei Xiao, Jianjun Shi, Xiaofeng Wang, Ting Ma, Jianchuan Wang

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Article in BMC neurology, 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

5 authors.

Fei XiaoDepartment of Neurology, Baoji Hospital of Traditional Chinese Medicine, No.43 Baofu Road, Jintai District, Baoji, 721001, Shaanxi Province, China.
Jianjun ShiDepartment of Neurology, Baoji Hospital of Traditional Chinese Medicine, No.43 Baofu Road, Jintai District, Baoji, 721001, Shaanxi Province, China.
Xiaofeng WangDepartment of Neurology, Baoji Hospital of Traditional Chinese Medicine, No.43 Baofu Road, Jintai District, Baoji, 721001, Shaanxi Province, China.
Ting MaBaoji City University of Arts and Sciences, Baoji, 721001, Shaanxi Province, China.
Jianchuan WangDepartment of Neurology, Baoji Hospital of Traditional Chinese Medicine, No.43 Baofu Road, Jintai District, Baoji, 721001, Shaanxi Province, China. Xf_hometown@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke recurrence after symptomatic non-acute middle cerebral artery occlusion (SNMCAO) remains difficult to predict, with existing models showing limited accuracy.

objectiveTo investigate the factors associated with recurrent stroke in SNMCAO and validate a prediction model.

methodsThis retrospective study included 150 patients with SNMCAO admitted to our hospital between August 2023 and October 2024. Data were obtained from the electronic medical record system. Patients were divided into recurrent (n = 35) and non-recurrent groups (n = 115) based on stroke recurrence. Risk factors were screened using univariate analysis, least absolute shrinkage and selection operator (LASSO) regression, and multifactorial logistic analysis. A nomogram prediction model was established and validated using R software.

resultsHypertension (yes/no, 25/10 vs. 46/69; 71.4% vs. 40.0%), smoking (yes/no, 9/26 vs. 9/106; 25.7% vs. 7.8%), mRS score (≤ 2/>2, 20/15 vs. 93/22; 57.1% vs. 80.9%), deep tiny flow voids (DTFV) (yes/no, 18/17 vs. 89/26; 51.4% vs. 77.4%), intraplaque hemorrhage (yes/no, 21/14 vs. 36/79; 60.0% vs. 31.3%), and incomplete anterior circulation (yes/no, 22/13 vs. 38/77; 62.9% vs. 33.0%) showed significant differences. LASSO regression identified hypertension, smoking, DTFV, and incomplete anterior circulation without multicollinearity. Logistic regression showed these were risk factors for recurrent stroke (OR = 3.750, 4.077, 3.233, 3.653, P < 0.05). The nomogram showed an AUC of 0.684 (95% CI: 0.586-0.782), with good calibration (Brier Score: 0.163, p = 1) and positive clinical decision curve analysis.

conclusionHypertension, smoking, DTFV, and incomplete anterior circulation are risk factors for recurrent stroke in SNMCAO. The nomogram provides moderate predictive performance for risk stratification.

Indexed as

Infarction, Middle Cerebral ArteryStrokeAgedFemaleHumansHypertensionMaleMiddle AgedNomogramsRecurrenceRetrospective StudiesRisk FactorsInfluencing factorsNomogramPredictive modellingRecurrent strokeSymptomatic non-acute middle cerebral artery occlusion

Identifiers

PMID41703472
PMCPMC12918093

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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.