椎基底动脉系统的形态特征可预测自发性椎动脉夹层的缺血性中风风险

IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of Cardiovascular Translational Research Pub Date : 2024-12-01 Epub Date: 2024-07-09 DOI:10.1007/s12265-024-10534-6
Jiajia Bao, Mateng Bai, Muke Zhou, Jinghuan Fang, Yanbo Li, Jian Guo, Li He
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引用次数: 0

摘要

椎动脉的形态特征在自发性椎动脉夹层(sVAD)中至关重要。我们旨在研究与缺血性卒中(IS)相关的形态特征,并建立一个新的预测模型。在 126 例患者中,最终分析了 93 例。我们构建了三维模型并进行了形态学分析。患者被随机分为训练组和验证组(比例为 3:1)。通过 LASSO 筛选出的变量(包括五个形态特征和五个临床特征)被用于在训练组中建立预测模型。该模型的曲线下面积(AUC)高达 0.944(95%CI,0.862-0.984),内部验证证实了其一致性(AUC = 0.818,95%CI,0.597-0.948)。决策曲线分析(DCA)显示了其临床实用性。形态特征有助于对 sVAD 患者进行风险分层。我们新开发的模型结合了多学科参数,在预测 IS 风险方面具有临床实用性。有必要对与 sVAD 相关的血液动力学进行进一步验证和深入研究。
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Morphological Features of the Vertebrobasilar System Predict Ischemic Stroke Risk in Spontaneous Vertebral Artery Dissection.

The vertebral artery's morphological characteristics are crucial in spontaneous vertebral artery dissection (sVAD). We aimed to investigate morphologic features related to ischemic stroke (IS) and develop a novel prediction model. Out of 126 patients, 93 were finally analyzed. We constructed 3D models and morphological analyses. Patients were randomly classified into training and validation cohorts (3:1 ratio). Variables selected by LASSO - including five morphological features and five clinical characteristics - were used to develop prediction model in the training cohort. The model exhibited a high area under the curve (AUC) of 0.944 (95%CI, 0.862-0.984), with internal validation confirming its consistency (AUC = 0.818, 95%CI, 0.597-0.948). Decision curve analysis (DCA) indicated clinical usefulness. Morphological features significantly contribute to risk stratification in sVAD patients. Our novel developed model, combining interdisciplinary parameters, is clinically useful for predicting IS risk. Further validation and in-depth research into the hemodynamics related to sVAD are necessary.

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来源期刊
Journal of Cardiovascular Translational Research
Journal of Cardiovascular Translational Research CARDIAC & CARDIOVASCULAR SYSTEMS-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
6.10
自引率
2.90%
发文量
148
审稿时长
6-12 weeks
期刊介绍: Journal of Cardiovascular Translational Research (JCTR) is a premier journal in cardiovascular translational research. JCTR is the journal of choice for authors seeking the broadest audience for emerging technologies, therapies and diagnostics, pre-clinical research, and first-in-man clinical trials. JCTR''s intent is to provide a forum for critical evaluation of the novel cardiovascular science, to showcase important and clinically relevant aspects of the new research, as well as to discuss the impediments that may need to be overcome during the translation to patient care.
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