Evidence mapPaperPMID 42433587Full record

ArticleQuantitative imaging in medicine and surgery2026

Prognostic incremental value of perivascular adipose tissue in myocardial infarction with non-obstructive coronary arteries: a multicenter cohort study.

Weifeng Yuan, Xiangyu Gong, Yishuang Wang, Yi Zhao, Canxin Zhao, Fanwei Zhou, Quanli Zou, Yuanyuan Lai, Shumin Peng, Shaopeng Wang

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Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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10 authors.

Weifeng Yuan *Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0001-8336-6822
Xiangyu Gong *Department of Medical Imaging, Chengdu Medical College, Chengdu, China.
Yishuang WangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Yi ZhaoDepartment of Radiology, The First People's Hospital of Longquanyi District Chengdu, West China Longquan Hospital of Sichuan University, Chengdu, China.
Canxin ZhaoDepartment of Medical Imaging, The Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Fanwei ZhouDepartment of Medical Imaging, Chengdu Medical College, Chengdu, China.
Quanli ZouDepartment of Medical Imaging, Chengdu Medical College, Chengdu, China.
Yuanyuan LaiDepartment of Medical Imaging, Chengdu Medical College, Chengdu, China.
Shumin PengDepartment of Medical Imaging, Chengdu Medical College, Chengdu, China.
Shaopeng WangDepartment of Medical Imaging, Chengdu Medical College, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Perivascular adipose tissue (PVAT) is recognized as a key contributor to atherosclerosis and adverse clinical outcomes. However, its relationship with metabolic status and prognosis in patients with myocardial infarction with non-obstructive coronary arteries (MINOCA) remains unclear. The aim of this study was to investigate the relationship between PVAT and clinical prognosis in patients with MINOCA, and to assess its incremental predictive value beyond the traditional metrics. Methods: A simple scoring tool, the PVAT score, was constructed based on cardiac magnetic resonance (CMR)-derived region-specific PVAT indicators. A total of 272 patients with MINOCA and 204 healthy controls were enrolled. The prognostic increment was assessed by analyzing the association of PVAT index and metabolic index with composite major adverse cardiovascular events (MACE). Results: The region-specific PVAT index and PVAT score were significantly higher in patients with MINOCA than in controls. Over a median 3.2-year follow-up, 57 MACEs occurred. In addition to age [hazard ratio (HR): 1.09, 95% confidence interval (CI): 1.05-1.13, P<0.001], late gadolinium enhancement positivity (HR: 1.98, 95% CI: 1.16-3.39, P=0.012), triglyceride-glucose (TyG) index (HR: 4.28, 95% CI: 1.92-9.51, P=0.016), a higher PVAT score (HR: 3.84, 95% CI: 1.52-9.72, P=0.004) was significantly associated with an increased risk of MACE. Notably, the prognostic association of PVAT score was significantly stronger in MINOCA patients with concomitant diabetes mellitus (DM) (P<0.001). Conclusions: Region-specific PVAT indicators and PVAT score were increased and associated with poorer prognosis in patients with MINOCA. The PVAT score provided incremental prognostic value beyond established clinical predictors, enabling improved risk stratification, particularly in the DM subgroup.

Indexed as

major adverse cardiovascular events (MACE)myocardial infarction with non-obstructive coronary arteries (MINOCA)Perivascular adipose tissue (PVAT)triglyceride-glucose index (TyG index)

Identifiers

PMID42433587
PMCPMC13350553

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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 Socratic graph.