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扩张型心肌病患者心腔内血栓形成风险模型的建立与验证:一项回顾性研究。

Development and validation of a risk model for intracardiac thrombosis in patients with dilated cardiomyopathy: a retrospective study.

机构信息

Department of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.

Department of Cardiology, The First People's Hospital of Nanning, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

出版信息

Sci Rep. 2024 Jan 16;14(1):1431. doi: 10.1038/s41598-024-51745-w.

Abstract

Intracardiac thrombosis is a severe complication in patients with non-ischemic dilated cardiomyopathy. This study aims to develop and validate an individualized nomogram to evaluate the risk of intracardiac thrombosis in patients with non-ischemic dilated cardiomyopathy. This retrospective study included patients diagnosed with dilated cardiomyopathy at first admission. Clinical baseline characteristics were acquired from electronic medical record systems. Multiple methods were applied to screen the key variables and generate multiple different variable combinations. Multivariable logistic regression was used to build the models, and the optimal model was chosen by comparing the discrimination. Then we checked the performance of the model in different thrombus subgroups. Finally, the model was presented using a nomogram and evaluated from the perspectives of discrimination, calibration, and clinical usefulness. Internal validation was performed by extracting different proportions of data for Bootstrapping. Ultimately, 564 eligible patients were enrolled, 67 of whom developed an intracardiac thrombosis. Risk factors included d-dimer, white blood cell count, high-sensitivity C-reactive protein, pulse pressure, history of stroke, hematocrit, and NT-proBNP in the optimal model. The model had good discrimination and calibration, and the area under the curve (AUC) was 0.833 (0.782-0.884), and the model's performance in each subgroup was stable. Clinical decision curve analysis showed that the model had clinical application value when the high-risk threshold was between 2% and 78%. The AUC of interval validation (30% and 70% data resampling) was 0.844 (0.765-0.924) and 0.833 (0.775-0.891), respectively. This novel intracardiac thrombosis nomogram could be conveniently applied to facilitate the individual intracardiac thrombosis risk assessment in patients with non-ischemic dilated cardiomyopathy.

摘要

心腔内血栓形成是非缺血性扩张型心肌病患者的严重并发症。本研究旨在开发和验证一种个体化列线图,以评估非缺血性扩张型心肌病患者发生心腔内血栓形成的风险。本回顾性研究纳入了首次入院时被诊断为扩张型心肌病的患者。临床基线特征来自电子病历系统。应用多种方法筛选关键变量并生成多个不同的变量组合。多变量逻辑回归用于构建模型,并通过比较判别力选择最优模型。然后我们检查了模型在不同血栓亚组中的表现。最后,通过列线图呈现模型,并从判别力、校准和临床实用性方面进行评估。内部验证通过提取不同比例的数据进行 Bootstrapping 实现。最终,纳入了 564 名符合条件的患者,其中 67 名发生了心腔内血栓形成。最优模型中的风险因素包括 D-二聚体、白细胞计数、高敏 C 反应蛋白、脉压、卒中史、红细胞压积和 NT-proBNP。该模型具有良好的判别力和校准度,曲线下面积(AUC)为 0.833(0.782-0.884),且在每个亚组中的表现均稳定。临床决策曲线分析表明,当高危阈值在 2%到 78%之间时,该模型具有临床应用价值。间隔验证(30%和 70%数据重采样)的 AUC 分别为 0.844(0.765-0.924)和 0.833(0.775-0.891)。这种新型的心腔内血栓形成列线图可以方便地应用于评估非缺血性扩张型心肌病患者的心腔内血栓形成个体风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a0d/10791606/675d218f67f5/41598_2024_51745_Fig1_HTML.jpg

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