Evidence map›Paper›PMID 40515772›Full record

ArticleEuropean radiology2025

Right ventricular myocardial infarction: cardiac magnetic resonance characteristics and prognostic implications.

Jin-Yi Xiang, Ling-Yi Yu, Yun Zhao, Jing-Ping Wu, Jin-Yu Zheng, Ruo-Yang Shi, Bing-Hua Chen, Jun Pu, Lian-Ming Wu

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Jin-Yi Xiang *Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ling-Yi Yu *Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yun ZhaoDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jing-Ping WuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jin-Yu ZhengDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ruo-Yang ShiDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Bing-Hua ChenDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jun PuState Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai, China. pujun310@hotmail.com.
Lian-Ming WuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. wlmssmu@126.com.ORCID http://orcid.org/0000-0001-7381-5436

Funding

National Natural Science Foundation of China 82171884National Natural Science Foundation of China 82471931Shanghai Municipal Health Commission Outstanding Youth Talent Grant.
6 · The paper itself

Abstract

objectivesRight ventricular myocardial infarction (RVMI) is a critical yet often underrecognized aspect of ST-segment elevation myocardial infarction (STEMI) that significantly influences clinical outcomes. Previous studies reached contradictory conclusions about the cardiac magnetic resonance (CMR) characteristics and prognostic data with RVMI. This study sought to investigate the CMR characteristics and prognostic implications of RVMI in a large cohort. MATERIALS AND

methodsThis retrospective study collected acute CMR scans from consecutive patients diagnosed with STEMI at two centers. RVMI was identified by the presence of late gadolinium enhancement and myocardial edema. The primary endpoint was a composite of major adverse cardiovascular events (MACE), including all-cause mortality, reinfarction, and hospitalization for heart failure.

resultsA total of 1005 patients (mean age 59.6 ± 11.3 years; 849 males) were included, and MACE occurred in 155 patients (15.4%) during a median of 3.6 years of follow-up. RVMI is identified in 199 patients (19.8%), who exhibit worse biventricular function and global longitudinal strain (all p < 0.001) and higher MACE incidence (22.1% vs 13.78%, p = 0.005). RVMI independently predicts worse LV global longitudinal (β = 0.931, p = 0.006) and circumferential strain (β = 0.661, p = 0.049). RVMI is strongly associated with MACE (adjusted hazard ratio [HR]: 1.45, 95% confidence interval [CI]: 1.01-2.08, p = 0.045), particularly hospitalization for heart failure (adjusted HR: 2.66, 95% CI: 1.52-4.63, p = 0.001).

conclusionRVMI aggravated the impaired LV function and was independently associated with MACE in STEMI, mainly driven by an increased risk of hospitalization for heart failure. Our findings underscore the importance of RV assessment in STEMI's long-term management and risk stratification. KEY POINTS: Question Does RVMI detected by CMR independently predict adverse outcomes and impaired cardiac function in patients with STEMI? Findings In 1005 STEMI patients, RVMI occurred in 19.8% and was independently associated with worse biventricular function and a 45% higher risk of MACE. Clinical relevance CMR identification of right ventricular involvement in STEMI patients enables better risk stratification and highlights the need for enhanced monitoring, as these patients face higher risks of heart failure hospitalization and adverse outcomes.

Indexed as

Heart VentriclesMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMyocardial InfarctionST Elevation Myocardial InfarctionVentricular Dysfunction, RightAgedFemaleHeart FailureHumansMaleMiddle AgedPrognosisRetrospective StudiesHeart failureMagnetic resonance imagingMyocardial infarction

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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.