Evidence map›Paper›PMID 41796749›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance

Left ventricular-arterial coupling parameters predict incident cardiovascular events and mortality in UK Biobank.

Chaoyang Lin, Yixin Yang, Qianyao Lai, Jiahui Chen, Enhao Wei, Shuyun Wu, Lijun Luo, Maosen Lin, Feng Hu, Lin Fan and 1 more

Abstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. 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. Review
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

11 authors.

Chaoyang LinDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China.
Yixin YangDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China.
Qianyao LaiDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China.
Jiahui ChenSchool of Health, Fujian Medical University, Fuzhou, PR China.
Enhao WeiSchool of Health, Fujian Medical University, Fuzhou, PR China; Department of Colorectal Surgery, Clinical Oncology School of Fujian Medical University, Fuzhou, PR China.
Shuyun WuDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China.
Lijun LuoDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China.
Maosen LinDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China.
Feng HuDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China.
Lin FanDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China. Electronic address: rickfan7587@hotmail.com.
Enhui YaoDepartment of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China. Electronic address: enhuiyao@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVentricular-arterial coupling (VAC) is fundamental to cardiovascular efficiency, but its value for predicting cardiovascular disease (CVD) in the general population is unclear. This study aimed to evaluate the predictive value of three novel non-invasive VAC parameters-the ratio of arterial stiffness index to global longitudinal strain (ASI/GLS), estimated pulse wave velocity to GLS (ePWV/GLS), and left ventricular end-systolic volume to stroke volume (LVESV/LVSV)-for incident atrial fibrillation (AF), stroke, heart failure (HF), coronary heart disease (CHD), all-cause and CVD mortality.

methodsWe analyzed UK Biobank participants free of baseline significant structural CVD or prior major cardiac surgery. VAC parameters were derived from arterial stiffness metrics and cardiac magnetic resonance (CMR). Associations were assessed using multivariable Cox or Fine-Gray models with false discovery rate (FDR) correction. Incremental prognostic value was evaluated using likelihood ratio tests, C-indices, and continuous net reclassification improvement (NRI).

resultsThe study included 38,144 participants (mean age 63.5 ± 7.5 years; 47.2% men) with a median follow-up of 4.82 years. After adjustment for clinical features, all three VAC parameters were associated with increased risk of AF, stroke, HF, CHD, all-cause and CVD mortality (except ASI/GLS for CHD). For incident HF, the addition of VAC parameters yielded substantial incremental value, raising C-indices to 0.789-0.835 with NRIs of 11.0%-24.1%. Beyond some respective conventional CMR indices, all three VAC parameters remained independent predictors for incident stroke, whereas ePWV/GLS was specifically independent for incident AF (hazard ratio [HR] 1.19, 95% confidence interval [CI] 1.10-1.29), HF (HR 1.26, 95% CI 1.11-1.43), and CHD (HR 1.11, 95% CI 1.001-1.23). Furthermore, while VAC parameters were independently associated with all-cause mortality regardless of LVEF, their associations with CVD mortality were largely attenuated by LVEF.

conclusionIn the general population, non-invasive VAC parameters predict various adverse cardiovascular outcomes. Incorporating ASI/GLS or ePWV/GLS into traditional risk assessment enhances prognostic value in specific clinical scenarios.

Indexed as

Cardiovascular DiseasesPulse Wave AnalysisVascular StiffnessVentricular Function, LeftAgedBiological Specimen BanksFemaleGlobal Longitudinal StrainHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsCardiac magnetic resonanceCardiovascular mortalityIncident cardiovascular eventsSurvival analysisVentricular-arterial coupling

Identifiers

PMID41796749
PMCPMC13241742

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.