Evidence map›Paper›PMID 40576857›Full record

ArticleThe international journal of cardiovascular imaging2025

Right atrioventricular groove epicardial fat tissue thickness is associated with right ventricular dysfunction in patients with acute pulmonary embolism.

Mehmet Serkan Cetin, Çağrı Ozcan, Hasan Can Könte, Elif Hande Ozcan Cetin, Nedret Ulvan, Batıkan Yazıcı, Özgul Ucar Elalmıs, Ender Ornek, Burcu Demirkan, Ahmet Temizhan and 1 more

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Article in The international journal of cardiovascular imaging, 2025. 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

Authors and funding

11 authors.

Mehmet Serkan CetinCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey. mehmetserkancetin@gmail.com.
Çağrı OzcanRadiology Department, Etimesgut Sehit Sait Erturk State Hospital, Ankara, Turkey.
Hasan Can KönteCardiology Department, Istanbul Medipol University, Bahçelievler, İstanbul, Turkey.
Elif Hande Ozcan CetinCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey.
Nedret UlvanCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey.
Batıkan YazıcıCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey.
Özgul Ucar ElalmısCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey.
Ender OrnekCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey.
Burcu DemirkanCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey.
Ahmet TemizhanCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey.
Serkan TopalogluCardiology Department, Ankara Bilkent City Hospital, Sağlık Bilimleri University, Bilkent, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Right ventricular dysfunction (RVD) is a critical determinant of prognosis in acute pulmonary embolism (APE). Epicardial fat tissue (EFT), a metabolically active visceral fat depot, has been implicated in inflammation and thrombosis. However, the association between region-specific EFT thickness and RVD in APE remains unclear. This study aimed to evaluate the relationship between right atrioventricular groove EFT thickness and RVD in patients with low-to-intermediate-risk APE. In this cross-sectional study, 184 patients with low-to-intermediate-risk APE who underwent computed tomography pulmonary angiography (CTPA) were analyzed. Right atrioventricular groove EFT thickness was measured from axial tomographic images. RVD was defined as a right-to-left ventricular diameter ratio ≥ 0.9. Logistic regression analyses were used to identify independent predictors of RVD. Patients with RVD were significantly older and had higher serum troponin levels and systolic pulmonary artery pressure (sPAP). Right atrioventricular groove EFT thickness was significantly greater in patients with RVD (p < 0.001). In multivariate analysis, right atrioventricular groove EFT thickness (OR: 1.199, 95% CI: 1.024-1.404, p = 0.024) and troponin level were independently associated with RVD. A cut-off value of 16.05 mm for EFT thickness predicted RVD with 69.1% sensitivity and 65.7% specificity (AUC: 0.717, p = 0.001). Increased right atrioventricular groove EFT thickness is independently associated with RVD in patients with APE. This novel marker may contribute to non-invasive risk stratification and early identification of right heart dysfunction in APE.

Indexed as

Acute pulmonary embolismComputed tomographyEpicardial fat tissueRight ventricular dysfunctionRisk stratification

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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.