Coronary disease & ACSDiagnostic or prognostic study
Comparison of International Expert Working Group Algorithms for Diagnosing Angina With Nonobstructive Coronary Arteries
- Diagnostic study
Authors' conclusion
The MVN algorithm results in a higher diagnostic yield for ANOCA endotypes compared with the EAPCI algorithm.
Study context
- Population
- Patients referred for clinically suspected angina with nonobstructive coronary arteries (ANOCA) undergoing coronary function testing
- Participants
- 516 patients
- Comparison
- Microvascular Network (MVN) algorithm vs European Association of Percutaneous Cardiovascular Interventions (EAPCI) algorithm
- Outcome
- Diagnostic yield (prevalence of ANOCA, obstructive CAD and noncardiac chest pain)
Performance
As reported in the abstract
Prevalence of ANOCA, obstructive CAD, noncardiac chest pain
ANOCA
Obstructive CAD
Noncardiac chest pain
- MVN vs EAPCI: P < 0.001 — overall difference
Further findings
Mean
| Outcome | Cardiac chest pain | Noncardiac chest pain | P value |
|---|---|---|---|
| Mean Seattle Angina Questionnaire summary score, cardiac vs noncardiac chest pain (MVN-defined) | 51.0 | 56.1 | P = 0.030 |
Reclassification into an ANOCA endotype by MVN
- Of 132 noncardiac chest pain by EAPCI, reclassified to ANOCA endotype
- 66.7%
- Of 108 obstructive CAD by EAPCI, reclassified to ANOCA endotype
- 84.3%
Original publication
Comparison of International Expert Working Group Algorithms for Diagnosing Angina With Nonobstructive Coronary Arteries. JACC Cardiovasc Interv. Published 22 December 2025. doi:10.1016/j.jcin.2025.09.049
Summarised from the published abstract; every number is checked against it