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Record W4406244254 · doi:10.1093/eurheartj/ehae926

Functional coronary assessment in angina with intermediate coronary stenosis: the #FullPhysiology approach

2025· article· en· W4406244254 on OpenAlexaboutno aff
Antonio Maria Leone, Domenico Galante, Andrea Vicerè, Andrea Marrone, Filippo Maria Verardi, Chiara Giuliana, Ciro Pollio Benvenuto, Vincenzo Viccaro, Simona Todisco, Andrea Erriquez, Simone Biscaglia, Cristina Aurigemma, Enrico Romagnoli, Rocco Antonio Montone, Michele Basile, Eugenio Di Brino, Filippo Rumi, Gennaro Capalbo, Carlo Trani, Francesco Burzotta, Filippo Crea, Italo Porto, Gianluca Campo

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsnot available
FundersAbbott Medical OpticsUniversità degli Studi di FerraraMinistero della Salute
KeywordsMedicineExcellenceHumanitiesClassicsHistoryArt

Abstract

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Recent studies and guidelines support the role of a comprehensive invasive functional approach in patients showing angina with non-obstructive coronary artery disease.1,2 This strategy allows identifying the correct endotype and tailoring medical therapy to symptoms and quality of life.3 In this regard, we recently proposed the #FullPhysiology (#FP) algorithm,4 which recommends the measurement of the coronary flow reserve (CFR) and index of microcirculatory resistance (IMR) using the bolus-thermodilution technique and the vasoreactivity testing with acetylcholine in accordance with the COVADIS (Coronary Vasomotor Disorders International Study Group) criteria2 on top of a conventional epicardial assessment. However, the additional value of the invasive functional tests in patients with epicardial intermediate stenosis judged non-obstructive at the conventional physiological assessment in clinical practice is less established. To fill this gap, the effects on clinical and economic outcomes of a treatment guided by a comprehensive #FP algorithm4 was compared to those of a conventional invasive epicardial assessment in patients with intermediate stenosis. The Fondazione Policlinico Universitario Agostino Gemelli and the Sant’Anna university hospitals in Rome and Ferrara have ongoing prospective registries [Post-Revascularization Optimization and PHysiological Evaluation of intermediaTe Lesions (PROPHET-FFR, NCT05056662); Prospective Registry of Acute Coronary Syndromes in Ferrara (ARYOSTO: NCT02438085); The Clinical Outcome of FFR-guided Revascularization Strategy of Coronary Lesions (HALE-BOPP: NCT03079739)] including all patients undergoing physiological assessment for chronic or stabilized acute coronary syndromes.5–7 Starting from these databases, we extracted patients meeting the following inclusion criteria: (i) chronic coronary syndromes exhibiting angina severity Canadian Cardiovascular Society (CCS) class ≥1 and/or evidence of myocardial ischaemia at non-invasive testing, (ii) a physiologically non-significant single-vessel disease [defined as a single lesion having %DS 40%–70% on visual estimation and a fractional flow reserve (FFR) > 0.80]. Exclusion criteria were acute clinical presentation or multi-vessel disease requiring revascularization in other vessels. Then, the study population was allocated to two consecutive cohorts according to the date of implementation of the #FP approach. The #FP interventional cohort included patients undergoing a comprehensive physiological assessment enrolled from 2020 to May 2023. The outcomes were compared to those of an historical control cohort including patients undergoing only conventional physiological assessment of the epicardial disease by FFR [conventional physiology (CP)] enrolled from 2015 to 2019. In the #FP cohort, patients were allocated to four groups and treated medically accordingly4: (i) coronary microvascular dysfunction (CMD; CFR <2.0 and/or IMR ≥25) treated with beta-blockers ± ranolazine; (ii) vasospastic disorders (epicardial spasm and/or microvascular spasm) according to the COVADIS criteria4 treated with calcium channel blockers; (iii) mixed endotypes treated with a combination of the previous therapies according to the most prevalent endotype; and (iv) normal #FP treated only with secondary prevention. The primary endpoint was the combination of the 1-year occurrence of cardiac death, myocardial infarction, target vessel revascularization (TVR), and rehospitalization for cardiac causes (including unstable angina, heart failure, and cardiac arrhythmias). Secondary endpoints included the individual components of the primary endpoint, the symptoms defined according to CCS classification, the number of non-invasive ischaemic tests performed during the follow-up period, and the healthcare costs according to the payer’s perspective by applying reimbursement tariffs.8 All the analyses were replicated in a matched population accounting for all baseline characteristics that significantly differed between the two groups using a 1:1 nearest neighbour propensity score matching without replacement. A logistic regression model was used to calculate the propensity score employing a matching distance of <0.1 as matching criterion. A total of 751 patients (543 in the CP and 208 in the #FP group) were included (Figure 1A). Patients in the CP group were older with a higher prevalence of male sex and hypertension. Patients in the #FP group exhibited lower values of ejection fraction and a higher prevalence of previous myocardial infarction. Prevalence and severity of symptoms as well as baseline FFR was similar in the two groups. The prevalence of Groups 1, 2, 3, and 4 was 45.2%, 12.1%, 32.7%, and 10%, respectively. Patients undergoing #FP had a lower rate of the primary endpoint at 1-year follow-up (1.4% vs. 5.9%, P = .01), primarily driven by a reduction in TVR (0% vs. 2.6%, P = .02) and rehospitalizations (1.4% vs. 5.7%, P = .01) as compared to patients undergoing CP. In addition, patients undergoing #FP exhibited a significant reduction in anginal symptoms (CCS ≥1, 8.0% vs. 19.1%, P < .01) and recurrent ischaemia tests (1.4% vs. 9.5%, P < .01). These results were confirmed in a propensity score matched population of 169 CP and 169 #FP patients with similar clinical characteristics (age, sex, hypertension, ejection fraction, previous myocardial infarction, left anterior descending artery location, and diabetes). The rate of the primary endpoint was confirmed to be lower in the #FP group compared to the CP group, associated with a decreased prevalence of symptomatic patients and a lower rate of ischaemia tests (Figure 1B–D). Notably, the clinical advantage observed in the #FP group translated also into a substantial reduction in healthcare costs for both the overall population (cost of hospitalization/interventional procedures 36.8 ± 21.1€/patient in #FP vs. 263.2 ± 51.5€/patient in CP, P < .01; cost of new diagnostic tests 0.9 ± 0.5€/patient in #FP vs. 11.5 ± 1.9€/patient in CP, P < .01) and the matched population (Figure 1E). Baseline characteristics and clinical and economic outcomes in the study populations. (A) Clinical characteristics of patient populations. (B) Kaplan–Meier curves for the primary endpoint in the matched population. (C) Prevalence of the primary and secondary endpoint (myocardial infarction, target vessel revascularization, cardiac hospitalization, and cardiac death) in the matched population. (D) Proportion of symptomatic patients and the use of ischaemic diagnostic tests at follow-up across the matched population. (E) Economic outcomes in the matched population. MI, myocardial infarction; TVR, target vessel revascularization; CCS, Canadian Cardiovascular Society Angina Grade Our findings support the notion that in anginal patients with CCS and intermediate stenoses, the implementation of a #FP approach may improve clinical outcomes and reduce healthcare costs in comparison to a conventional approach. Three important limitations of the current study are (i) the lack of randomization; (ii) the lack of assessment of vasoconstriction at the site of intermediate stenoses, which could be an additional cause of transient myocardial ischaemia in this patient population9; and (iii) the pooling of patients with CMD, CFR <2.0, and/or IMR ≥25 in the same therapeutic group while they might need different treatments.10 Thus, a more accurate characterization of the mechanisms of ischaemia in this patient population using the #FP approach might further improve the positive results observed in this study on clinical outcomes and healthcare costs. A.M.L. has been involved in advisory board meetings or received speaker’s fees from Abbott, Medtronic, Daiichi-Sankyo, Bayer, Bruno Farmaceutici, and Menarini. S.B. received unrestricted research grants and speaker’s fees from SMT, Medis, Abbott, and Insight Lifetech. G.C. received institutional research grants from Medis, GE HealthCare, Siemens Healthcare, Abbott Vascular, Sahajanand Medical Technologies, and Insight Lifetech. F.B. has been involved in advisory board meetings or received speaker’s fees from Medtronic, Abbott, Terumo, Daiichi-Sankyo, and Abiomed. C.T. has been involved in advisory board meetings or received speaker’s fees from Medtronic, Abbott, Terumo, Daiichi-Sankyo, and Abiomed. I.P. reports consultant or speaker fees from Biotronik, Abiomed, Terumo, Philips, Sanofi, Amgen, Daiichi-Sankyo, AstraZeneca, Bayer, and Piam. F.C. holds the position of Editor in Chief of European Heart Journal. All other authors declare no competing interests. Data are available upon reasonable request to the corresponding author (Antonio Maria Leone, e-mail: [email protected]; [email protected]; [email protected]). The PROPHET-FFR Registry was funded by the Italian Ministry of Health (Ricerca corrente 2021 project). The ARYOSTO and HALE-BOPP Registries were supported by the Università degli Studi di Ferrara. The analysis of this study was funded by Abbott Medical. The funder was not involved in the data collection and analysis. The PROPHET-FFR Registry was approved by the local ethics committee (code 3237), and all patients signed a dedicated informed consent form. The ARYOSTO Registry was approved by the local ethics committee (code 073132), and all patients signed a dedicated informed consent form. The HALE-BOPP was approved by the local ethics committee (code 161082), and all patients signed a dedicated informed consent form. PROPHET-FFR: NCT05056662. ARYOSTO: NCT02438085. HALE-BOPP:NCT03079739.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.291
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations16
Published2025
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