Delay and Attrition in Severe Aortic Stenosis: A Four-Checkpoint Systematic Review of Pathway Bottlenecks and Interventions.

Authors

Nicholas Fanous, Nicolas Zubrzycki, Lachlan Weir, Farhan Mohammed, Amy Pomeroy, Tom Meredith, David Roy, Andrew Roy, Jason Kovacic, David Muller, Michael Feneley, Sammy Elmariah, Mayooran Namasivayam

Published in

European heart journal. Quality of care & clinical outcomes. Aug 01, 2026. Epub Aug 01, 2026.

Abstract

The care pathway for severe aortic stenosis (AS) remains vulnerable to diagnostic delay, referral inertia, undertreatment, and procedural waiting times despite the availability of definitive intervention with surgical or transcatheter aortic valve replacement. This systematic review with narrative synthesis aimed to identify where delay and attrition occur across the contemporary severe AS pathway and to summarise evidence for digital, organisational, and workflow interventions designed to improve timely care. Randomised and non-randomised studies examining diagnostic, referral, treatment-decision, or procedural-access delays in adults with severe AS were eligible. Findings were mapped onto a four-checkpoint framework: pre-echocardiographic recognition, echocardiographic detection, post-diagnostic referral and decision-making, and procedural access. Nineteen studies met inclusion criteria. After de-duplication of overlapping registries and exclusion of studies without a verifiable unique severe-AS or severe-AS pathway denominator, the synthesis represented approximately 52,000 patients. Evidence was unevenly distributed, with no included study providing severe-AS-specific data before echocardiography. At echocardiographic detection, missed or delayed recognition was concentrated in low-gradient phenotypes and women; an artificial-intelligence-assisted alert system increased severe-AS detection from 2.4% to 4.1%. After diagnosis, undertreatment persisted despite guideline indications, and non-cardiology ordering of the diagnostic echocardiogram was associated with lower early follow-up or AVR and higher mortality. Electronic provider notification increased one-year AVR rates from 37.2% to 48.2%, with the largest observed effects in women, patients older than 80 years, and inpatient echocardiography. At procedural access, wait-list mortality was approximately 4.5%-5.8%, with deaths occurring early after referral. Risk-based triage reduced modelled wait-list mortality, while decentralised pre-procedural work-up shortened referral-to-TAVI time from 126 to 32 days. Severe AS care is characterised by measurable delay and attrition across multiple post-diagnostic transitions, while pre-echocardiographic recognition remains an important evidence gap. A four-checkpoint framework may support benchmarking and targeted pathway improvement through structured reporting, electronic referral prompts, risk-based triage, and decentralised workflows.

PMID:
42538860
Bibliographic data and abstract were imported from PubMed on 01 Aug 2026.

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