经导管主动脉瓣置换术后中重度瓣周渗漏的危险因素及预测模型。

IF 1.7 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2024-12-15 eCollection Date: 2024-01-01 DOI:10.62347/VRXS6310
Huajun Wang, Xueda Wu, Hang Zhang, Fengwu Shi, Nan Dong, Jinghui An
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引用次数: 0

摘要

目的:探讨经导管主动脉瓣置换术(TAVR)后中重度瓣膜周围渗漏(PVL)的相关危险因素,并建立其预测模型。方法:回顾性分析2019年1月至2024年1月在河北医科大学第二医院行TAVR治疗的128例重度主动脉瓣狭窄患者。瓣植入术后立即经食管超声心动图测量主动脉反流束长度和环围比。观察组为中重度PVL患者,其余为对照组。记录患者的临床资料,对术后中重度PVL发生的潜在影响因素进行单因素和多因素Logistic回归分析。建立了相应的风险预测模型。结果:128例患者中,中重度PVL 51例为观察组,77例为对照组。单因素和多因素分析结果确定LVOT覆盖指数、瓣膜植入深度、LVEDd、主动脉成角、LVESD和钙化体积是TAVR后中重度PVL的独立危险因素(P),并将这些重要因素纳入TAVR后PVL的预测模型。中重度PVL预测模型的ROC曲线分析显示,曲线下面积为0.911。结论:LVOT覆盖指数、瓣膜植入深度、LVEDd、主动脉成角、LVESD、钙化体积是TAVR后重度主动脉狭窄患者中重度PVL发生的独立危险因素。基于危险因素构建的风险预测模型是鉴别术后发生中度及以上PVL高危患者的重要工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk factors and predictive model for moderate to severe perivalvular leakage following transcatheter aortic valve replacement.

Objective: To identify the risk factors associated with moderate to severe perivalvular leakage (PVL) after transcatheter aortic valve replacement (TAVR) and to construct a prediction model for this risk.

Methods: A retrospective analysis was conducted on 128 patients with severe aortic stenosis who had received TAVR in The Second Hospital of Hebei Medical University from January 2019 to January 2024. The length of the aortic regurgitation bundle and annular circumference ratio were measured by transesophageal echocardiography immediately after the valve implantation. Patients with moderate to severe PVL were included in observation group, while the remaining comprised the control group. Clinical data of the patients were recorded, and univariate and multivariate Logistic regression analyses were performed on factors potentially influencing the development of moderate to severe PVL after surgery. A risk prediction model was constructed correspondingly.

Results: Of the 128 patients, 51 with moderate or severe PVL served as the observation group and the remaining 77 served as the control group. The results of univariate and multivariate analyses identified LVOT coverage index, depth of valve implantation, LVEDd, aortic angulation, LVESD, and calcification volume entered as independent risk factors associated with moderate to severe PVL following TAVR (P<0.05). A predictive model for post-TAVR PVL was constructed by incorporating these significant factors. ROC curve analysis of the prediction model for moderate to severe PVL showed an area under the curve of 0.911.

Conclusion: LVOT coverage index, depth of valve implantation, LVEDd, aortic angulation, LVESD, and calcification volume are independent risk factors for moderate to severe PVL in patients with severe aortic stenosis after TAVR. Risk prediction model constructed based on the risk factors are valuable tool for identifying patients at high risk of developing moderate or greater PVL post-surgery.

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来源期刊
American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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