Observational studyBMC medical imaging2026
Prognostic value of preoperative CT-derived fractional flow reserve after transcatheter or surgical aortic valve replacement in patients with severe aortic stenosis.
Observational study in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
backgroundPatients with aortic stenosis (AS) often have concomitant coronary artery disease (CAD), and coronary CTA (CCTA) is performed for anatomical evaluation to inform coronary revascularization decision-making prior to aortic valve replacement (AVR). However, the role of coronary hemodynamic assessment in pre-AVR is not well established. We aim to evaluate the prognostic value of preoperative CT angiography-derived fractional flow reserve (CT-FFR) in patients with severe AS undergoing transcatheter (TAVR) or surgical aortic valve replacement (SAVR).
methodsThis consecutive retrospective observational cohort (July 2023-January 2025) included patients with severe AS referred to TAVR or SAVR. CT-FFR was obtained fully-automatic using an on-site machine learning algorithm, and a low value was defined as CT-FFR ≤ 0.80. The composite endpoint was a patient-oriented composite of all-cause mortality and major adverse cardiac events (MACE) (nonfatal myocardial infarction, unstable angina, cardiac death, cardiovascular-driven admission or heart failure admission).
resultsAmong 329 patients (mean age 61.4 ± 13.1 years), composite endpoint occurred in 14.3% and all-cause mortality in 4.0% over a median follow-up of 17 months. After adjustment, CT-FFR ≤ 0.80 remained independently associated with the composite endpoint (HR 3.83; 95% CI 2.04-7.20; P < 0.001) and with MACE (HR 4.84; 95% CI 2.40-9.78; P < 0.001), but was not independently associated with all-cause mortality (P = 0.071). Adding CT-FFR to clinical models substantially improved risk discrimination for MACE (C-index 0.74) and significantly improved reclassification (NRI 0.346; P < 0.001), whereas adding anatomical CCTA alone provided minimal incremental value.
conclusionIn patients with severe AS undergoing TAVR or SAVR, preoperative CT-FFR was associated with an increased risk of post-AVR adverse cardiac events. The prognostic value of CT-FFR was consistent across both TAVR and SAVR populations and may improve individual-level risk reclassification.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.