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Article: Comparison of International Expert Working Group Algorithms for Diagnosing Angina With Nonobstructive Coronary Arteries
| Title | Comparison of International Expert Working Group Algorithms for Diagnosing Angina With Nonobstructive Coronary Arteries |
|---|---|
| Authors | |
| Keywords | angina with nonobstructive arteries coronary physiology coronary vasomotor disorders endothelial dysfunction myocardial bridging |
| Issue Date | 2025 |
| Citation | Jacc Cardiovascular Interventions, 2025, v. 18, n. 24, p. 2995-3005 How to Cite? |
| Abstract | Background Coronary function testing (CFT) protocols in patients with angina with nonobstructive coronary arteries (ANOCA) differ among expert working groups. The European Association of Percutaneous Cardiovascular Interventions (EAPCI) endorses testing for coronary artery spasm and microvascular dysfunction, while the Microvascular Network (MVN) recommends additional assessment for myocardial bridging and endothelial dysfunction. Objectives The aim of this study was to compare the diagnostic yield between the EAPCI and MVN algorithms in a large cohort of patients with ANOCA. Methods Fractional flow reserve, coronary flow reserve, index of microcirculatory resistance, intravascular ultrasound, acetylcholine provocation, and myocardial bridging assessment were performed in patients referred for clinically suspected ANOCA. Results Among 516 patients, the prevalence of ANOCA, obstructive coronary artery disease, and noncardiac chest pain was 53.5%, 20.9%, and 25.6%, respectively, according to the EAPCI algorithm, compared with 88.2%, 3.3%, and 8.5% according to the MVN algorithm ( P < 0.001 for overall difference). Of 132 patients classified as noncardiac chest pain by the EAPCI algorithm, 66.7% were reclassified into an ANOCA endotype using the MVN algorithm. Similarly, 84.3% of 108 patients diagnosed with obstructive coronary artery disease using the EAPCI algorithm were reclassified into an ANOCA endotype by the MVN algorithm. The mean Seattle Angina Questionnaire summary score was significantly lower in patients with cardiac chest pain compared with those with noncardiac chest pain (51.0 vs 56.1; P = 0.030) as defined by the MVN algorithm. Conclusions The MVN algorithm results in a higher diagnostic yield for ANOCA endotypes compared with the EAPCI algorithm. Routine testing for myocardial bridging and endothelial dysfunction should be considered in patients with suspected ANOCA. |
| Persistent Identifier | http://hdl.handle.net/10722/368894 |
| ISSN | 2023 Impact Factor: 11.7 2023 SCImago Journal Rankings: 2.886 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wong, Christopher C.Y. | - |
| dc.contributor.author | Pargaonkar, Vedant S. | - |
| dc.contributor.author | Dawson, Luke P. | - |
| dc.contributor.author | Penumaka, Rahul R. | - |
| dc.contributor.author | Rehan, Rajan | - |
| dc.contributor.author | Yong, Andy S.C. | - |
| dc.contributor.author | Honda, Yasuhiro | - |
| dc.contributor.author | Fearon, William F. | - |
| dc.contributor.author | Schnittger, Ingela | - |
| dc.contributor.author | Tremmel, Jennifer A. | - |
| dc.date.accessioned | 2026-01-16T02:39:39Z | - |
| dc.date.available | 2026-01-16T02:39:39Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Jacc Cardiovascular Interventions, 2025, v. 18, n. 24, p. 2995-3005 | - |
| dc.identifier.issn | 1936-8798 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/368894 | - |
| dc.description.abstract | Background Coronary function testing (CFT) protocols in patients with angina with nonobstructive coronary arteries (ANOCA) differ among expert working groups. The European Association of Percutaneous Cardiovascular Interventions (EAPCI) endorses testing for coronary artery spasm and microvascular dysfunction, while the Microvascular Network (MVN) recommends additional assessment for myocardial bridging and endothelial dysfunction. Objectives The aim of this study was to compare the diagnostic yield between the EAPCI and MVN algorithms in a large cohort of patients with ANOCA. Methods Fractional flow reserve, coronary flow reserve, index of microcirculatory resistance, intravascular ultrasound, acetylcholine provocation, and myocardial bridging assessment were performed in patients referred for clinically suspected ANOCA. Results Among 516 patients, the prevalence of ANOCA, obstructive coronary artery disease, and noncardiac chest pain was 53.5%, 20.9%, and 25.6%, respectively, according to the EAPCI algorithm, compared with 88.2%, 3.3%, and 8.5% according to the MVN algorithm ( P < 0.001 for overall difference). Of 132 patients classified as noncardiac chest pain by the EAPCI algorithm, 66.7% were reclassified into an ANOCA endotype using the MVN algorithm. Similarly, 84.3% of 108 patients diagnosed with obstructive coronary artery disease using the EAPCI algorithm were reclassified into an ANOCA endotype by the MVN algorithm. The mean Seattle Angina Questionnaire summary score was significantly lower in patients with cardiac chest pain compared with those with noncardiac chest pain (51.0 vs 56.1; P = 0.030) as defined by the MVN algorithm. Conclusions The MVN algorithm results in a higher diagnostic yield for ANOCA endotypes compared with the EAPCI algorithm. Routine testing for myocardial bridging and endothelial dysfunction should be considered in patients with suspected ANOCA. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Jacc Cardiovascular Interventions | - |
| dc.subject | angina with nonobstructive arteries | - |
| dc.subject | coronary physiology | - |
| dc.subject | coronary vasomotor disorders | - |
| dc.subject | endothelial dysfunction | - |
| dc.subject | myocardial bridging | - |
| dc.title | Comparison of International Expert Working Group Algorithms for Diagnosing Angina With Nonobstructive Coronary Arteries | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1016/j.jcin.2025.09.049 | - |
| dc.identifier.scopus | eid_2-s2.0-105024857515 | - |
| dc.identifier.volume | 18 | - |
| dc.identifier.issue | 24 | - |
| dc.identifier.spage | 2995 | - |
| dc.identifier.epage | 3005 | - |
| dc.identifier.eissn | 1876-7605 | - |
