Evidence map›Paper›PMID 39972986›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2025

Predicting Cerebral Small Vessel Disease Burden Based on Thromboelastography in Patients with Acute Ischemic Stroke: A Pilot Study.

Min Xia, DaiZong Wu, NengWei Yu, GuoXiang Huang

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Article in Medical science monitor : international medical journal of experimental and clinical research, 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Min XiaDepartment of Encephalopathy, Chengdu Pidu District Hospital of Traditional Chinese Medicine, No.3 Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (West District), Chengdu, Sichuan, China.
DaiZong WuDepartment of Encephalopathy, Chengdu Pidu District Hospital of Traditional Chinese Medicine, No.3 Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (West District), Chengdu, Sichuan, China.
NengWei YuDepartment of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
GuoXiang HuangDepartment of Encephalopathy, Chengdu Pidu District Hospital of Traditional Chinese Medicine, No.3 Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (West District), Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study aimed to investigate the relationship between the coagulation function measured by thromboelastography (TEG) in patients with acute ischemic stroke (AIS) and total burden of cerebral small vessel disease (CSVD), to further establish a nomogram tool based on regular clinical risk factors and TEG, to conveniently predict the risk of high-grade white matter hyperintensities (WMH) and CSVD burden in AIS patients. MATERIAL AND METHODS A cross-sectional study included 143 AIS patients who underwent TEG tests and 3.0T head MRI scans after admission. They were grouped according to total burden CSVD score and WMH Fazekas score. Differences in regular clinical data (RCD), TEG, and conventional coagulation tests (CCT) between groups were compared. Three sets of logistic regression models were established: RCD model, and models combining RCD with TEG and CCT respectively, to evaluate their predictive performance for WMH and SVD in patients with AIS. RESULTS Univariate analysis revealed age, hypertension, stroke history, fibrinogen, and TEG indicators maximum amplitude, Angle, K, and coagulation index were risk factors for increased WMH Fazekas score and CSVD burden in patients with AIS (OR>1, P<0.05). Logistic regression model combining RCD and TEG had a higher AUC value in predicting WMH (Fazekas score ≥2) and SVD (SVD burden score ≥3). CONCLUSIONS TEG parameters of patients with AIS are related to CSVD burden and its imaging features. Based on regular clinical risk factors, TEG can provide additional predictive information on the severity of WMHs and the burden of CSVD in patients with AIS.

Indexed as

Cerebral Small Vessel DiseasesIschemic StrokeStrokeThrombelastographyAgedBrain IschemiaCross-Sectional StudiesFemaleHumansLogistic ModelsMagnetic Resonance ImagingMaleMiddle AgedPilot ProjectsRisk Factors

Identifiers

PMID39972986
PMCPMC11853390

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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.