Diagnostic Cutoff Values of Aortic Valve Coefficient (AVC) in Relation to Aortic-Valve Area and Calcium Score: A Patient-Level Analysis.

Shreyash M Manegaonkar, Rishi Sukhija, Mohamed A Effat, Imran Arif, Marepalli Rao, Rupak K Banerjee

Abstract read

In one paragraph

Article in Structural heart : the journal of the Heart Team, 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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1 · What the graph read from it

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5 · Who and what money

Authors and funding

6 authors.

Shreyash M ManegaonkarDepartment of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, Ohio, USA.

Rishi SukhijaDivision of Cardiovascular Health and Disease, University of Cincinnati, Cincinnati, Ohio, USA.

Mohamed A EffatDivision of Cardiovascular Health and Disease, University of Cincinnati, Cincinnati, Ohio, USA.

Imran ArifDivision of Cardiovascular Health and Disease, University of Cincinnati, Cincinnati, Ohio, USA.

Marepalli RaoEnvironmental & Public Health Sciences, University of Cincinnati, Cincinnati, Ohio, USA.

Rupak K BanerjeeDepartment of Biomedical Engineering, University of Cincinnati, Veterans Affairs Medical Center, Cincinnati, Ohio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

•AVC combines pressure drop and flow to quantify aortic stenosis severity.•Classification-tree analysis defined AVC thresholds relative to aortic valve area.•AVC cutoffs stratify mild, moderate, and severe AS.•AVC differentiates paradoxical and classical low-flow, low-gradient AS.•AVC enables integrated assessment of AS severity across flow states.

Indexed as

Aortic stenosis (AS)Aortic valve areaAortic valve coefficient (AVC)Calcium score (CS)CatheterizationEchocardiography

Identifiers

PMID42057879

DOI10.1016/j.shj.2026.100815

PMCPMC13121417

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LicenceCC BY-NC-ND

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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.