Evidence map›Paper›PMID 42683952›Full record

ArticleJACC. Asia2026

Combined Left and Right Ventricular Dysfunction and 1-Year Outcomes After TAVR.

Yingqi Liu, Zhenyi Ge, Wen Liu, Yuan Zhang, Chunqiang Hu, Dawei Lin, Zhengdan Ge, Haiyan Chen, Daxin Zhou, Wei Li and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Asia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Yingqi LiuShanghai Institute of Medical Imaging, Shanghai, China; Department of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhenyi GeDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China.
Wen LiuDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China.
Yuan ZhangShanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China; Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Chunqiang HuDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Dawei LinShanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China; Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhengdan GeDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Haiyan ChenDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Daxin ZhouShanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China; Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Wei LiDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenzhi PanShanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China; Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address: peden@sina.com.
Cuizhen PanShanghai Institute of Medical Imaging, Shanghai, China; Department of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address: pan.cuizhen@zs-hospital.sh.cn.
Xianhong ShuDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China; Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Junbo GeShanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China; Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOutcomes after transcatheter aortic valve replacement (TAVR) reflect cumulative myocardial injury beyond stenosis. Left ventricular (LV) and right ventricular (RV) dysfunction may present as overlapping but distinct functional profiles in aortic stenosis; the prognostic significance of their coexistence remains uncertain.

objectivesThis study evaluated whether quantitative phenotype-based classification integrating LV longitudinal mechanics and RV-pulmonary arterial (PA) coupling identifies distinct preprocedural functional profiles and improves 1-year risk stratification after TAVR.

methodsIn 280 registry patients undergoing TAVR, LV mechanics were assessed by LV global longitudinal strain (LVGLS), and RV-PA coupling by RV free-wall longitudinal strain-to-pulmonary artery systolic pressure ratio (RVFWLS/PASP). Four LV/RV profiles were defined: no abnormality, isolated LV impairment, isolated RV impairment, and concurrent abnormalities. For modeling, isolated LV and RV impairments were combined as single-axis abnormality. The primary endpoint was 1-year all-cause death or major adverse cardiovascular events.

resultsThe median follow-up was 368 days (IQR: 312-371 days). The 4 profiles included 113/280 (40.4%) no abnormality, 83/280 (29.6%) isolated LV impairment, 22/280 (7.9%) isolated RV impairment, and 62/280 (22.1%) concurrent abnormalities patients. The primary endpoint occurred in 8/113 (7.1%; 95% CI: 3.1-13.5), 16/83 (19.3%; 95% CI: 11.4-29.4), 6/22 (27.3%; 95% CI: 10.7-50.2), and 33/62 (53.2%; 95% CI: 40.1-66.0) (log-rank P < 0.001). Concurrent abnormalities carried the highest adjusted risk (HR: 5.70; 95% CI: 2.37-13.73; P < 0.001) and improved discrimination (C-index: 0.731 [95% CI: 0.682-0.790] to 0.771 [95% CI: 0.724-0.836]).

conclusionsIntegrating LV longitudinal mechanics and RV-PA coupling identifies distinct preprocedural phenotypes in TAVR patients. Concurrent biventricular impairment denotes a high-risk phenotype and provides incremental risk stratification information for 1-year post-TAVR outcomes.

Indexed as

left ventricular global longitudinal strainrisk stratificationRV–PA couplingTAVR

Identifiers

PMID42683952
PMCPMC13554779

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