Evidence map›Paper›PMID 39822518›Full record

ArticleAmerican journal of translational research2024

Risk factors and predictive model for moderate to severe perivalvular leakage following transcatheter aortic valve replacement.

Huajun Wang, Xueda Wu, Hang Zhang, Fengwu Shi, Nan Dong, Jinghui An

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Huajun WangDepartment of Cardiac Surgery, The Second Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Xueda WuDepartment of Cardiac Surgery, The Second Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Hang ZhangDepartment of Cardiac Surgery, The Second Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Fengwu ShiDepartment of Cardiac Surgery, The Second Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Nan DongDepartment of Cardiac Surgery, The Second Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Jinghui AnDepartment of Cardiac Surgery, The Second Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo 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.

methodsA 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.

resultsOf 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 (

conclusionLVOT 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.

Indexed as

perivalvular leakagepostoperative complicationsprediction modelrisk factorsTranscatheter aortic valve replacement

Identifiers

PMID39822518
PMCPMC11733353

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