ClinicalTrials.gg
RecruitingNCT07933172Updated Nov 12, 2026

Exercise Metrics and Perfusion Indices in CoRonary Microvascular Dysfunction: A Multimodal Correlative Study in ANOCA and HFpEF Patients (EMPIRE-Trial)

An interventional study of All participants will undergo cardiopulmonary exercise testing (CPET), transthoracic echocardiography, and invasive coronary angiography with functional microvascular assessment (IMR, cFR, RFR). No in in CMD, Microvascular Dysfunction and Anoca, sponsored by Heart and Diabetes Center North-Rhine Westfalia. Recruiting at 1 site in Germany. Per ClinicalTrials.gov, last updated 2026-11-12.

Sponsored by Heart and Diabetes Center North-Rhine Westfalia · Not applicable, Interventional, and Diagnostic

From the registry’s dates

  • Started Aug 2025; still recruiting 1 year 3 months later.
Updated Nov 12, 2026Newly registeredGo to Updates ↓

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Phase
Not applicable
Study type
Interventional
Enrollment
120
Allocation
Non-randomized
Sex
All
01

Study summary

Coronary microvascular dysfunction (CMD) has emerged as a key pathophysiological mechanism underlying symptoms in patients with angina and/or exertional dyspnea, particu-larly in the absence of obstructive coronary artery disease. CMD is prevalent in both ANOCA (Angina with Non-Obstructive Coronary Arteries) and HFpEF (Heart Failure with preserved Ejection Fraction), and is associated with poor clinical outcomes, including hospitalization and mortality. However, CMD remains frequently underdiagnosed due to the lack of simple, non-invasive diagnostic tools and the complexity of invasive assessment techniques such as the Index of Microcirculatory Resistance (IMR) and corrected Fractional Flow Reserve (cFR).

Cardiopulmonary exercise testing (CPET) and echocardiography are widely accessible and routinely used modalities that may reflect hemodynamic consequences of CMD. CPET pro-vides a comprehensive assessment of cardiopulmonary performance and exercise tolerance, while echocardiography allows for non-invasive evaluation of diastolic function, left atrial pressure, and right heart-pulmonary interactions. Nevertheless, the extent to which these measures correlate with invasive CMD parameters has not been systematically studied.

02

Conditions studied

  • CMD
  • Microvascular Dysfunction
  • Anoca
  • Hfpef
03

In context

Lead sponsor

Heart and Diabetes Center North-Rhine Westfalia is the lead sponsor of 35 studies on the registry; 7 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age ≥ 18 years
  • Absence of obstructive coronary artery disease (stenosis \<50% or FFR >0.80)
  • No sign of HFpEF or microvascular dysfunction history of angina, dyspnea, or heart failure
  • Undergoing CPET and echocardiography
  • No structural or ischemic heart disease
  • Written

Exclusion criteria

Exclusion Criteria:

    • Significant structural heart disease (e.g., severe valvular disease)

      • Severe pulmonary disease (e.g., GOLD III-IV, interstitial lung disease)
      • Acute coronary syndrome within the past 3 months
      • Inability to perform exercise testing
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

COPD

Chronic obstructive pulmonary disease: long-term lung disease that makes it hard to breathe out, including emphysema and chronic bronchitis.

05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
120 participants (estimated)

Study arms

  • Other
    patients with ANOCA or HFpEF

    Patients with angina and/or exertional dyspnea without obstructive coronary artery disease (ANOCA or HFpEF phenotype).

    Diagnostic Test: All participants will undergo cardiopulmonary exercise testing (CPET), transthoracic echocardiography, and invasive coronary angiography with functional microvascular assessment (IMR, cFR, RFR). No in

  • Other
    control participants

    Control individuals without evidence of coronary or myocardial disease, microvascular dysfunction or heart failure with preserved ejection fraction

    Diagnostic Test: All participants will undergo cardiopulmonary exercise testing (CPET), transthoracic echocardiography, and invasive coronary angiography with functional microvascular assessment (IMR, cFR, RFR). No in

Interventions

  • Diagnostic testAll participants will undergo cardiopulmonary exercise testing (CPET), transthoracic echocardiography, and invasive coronary angiography with functional microvascular assessment (IMR, cFR, RFR). No in

    This is a prospective, observational, controlled cohort study including patients with suspected coronary microvascular dysfunction (CMD) presenting as ANOCA or HFpEF and asymptomatic control individuals without evidence of coronary or myocardial disease, microvascular dysfunction or heart failure with preserved ejection fraction. All participants will undergo cardiopulmonary exercise testing (CPET), transthoracic echocardiography, and invasive coronary angiography with functional microvascular assessment (IMR, cFR, RFR). No interventions outside of standard clinical care will be performed. Comparative analyses will focus on correlations between CPET parameters, echocardiographic markers, and invasive microvascular indices, as well as differences between symptomatic patients and controls. The study will include: * Patients with angina and/or exertional dyspnea without obstructive coronary artery disease (ANOCA or HFpEF phenotype). * Control individuals without evidence of coronary or my

06

What researchers measure

Primary outcomes

  1. Correlation Between Peak Oxygen Uptake (VO₂peak) and Index of Microcirculatory Resistance (IMR)

    Correlation between peak oxygen uptake (VO₂peak), measured by cardiopulmonary exercise testing (CPET), and the index of microcirculatory resistance (IMR), measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  2. Correlation Between Peak Oxygen Uptake (VO₂peak) and CFR

    Correlation between peak oxygen uptake (VO₂peak), measured by cardiopulmonary exercise testing (CPET), and CFR, assessed during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  3. Correlation Between Peak Oxygen Uptake (VO₂peak) and Resting Full-Cycle Ratio (RFR)

    Correlation between peak oxygen uptake (VO₂peak), measured by cardiopulmonary exercise testing (CPET), and resting full-cycle ratio (RFR), assessed during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  4. Correlation Between VE/VCO₂ Slope and Index of Microcirculatory Resistance (IMR)

    Correlation between the ventilatory efficiency parameter VE/VCO₂ slope, measured by cardiopulmonary exercise testing (CPET), and the index of microcirculatory resistance (IMR), assessed during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  5. Correlation Between VE/VCO₂ Slope and CFR

    Correlation between the ventilatory efficiency parameter VE/VCO₂ slope, measured by cardiopulmonary exercise testing (CPET), and CFR, assessed during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  6. Correlation Between VE/VCO₂ Slope and Resting Full-Cycle Ratio (RFR)

    Correlation between the ventilatory efficiency parameter VE/VCO₂ slope, measured by cardiopulmonary exercise testing (CPET), and resting full-cycle ratio (RFR), assessed during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  7. Correlation Between Oxygen Pulse and Index of Microcirculatory Resistance (IMR)

    Correlation between oxygen pulse (O₂ pulse), measured by cardiopulmonary exercise testing (CPET), and the index of microcirculatory resistance (IMR), assessed during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  8. Correlation Between Oxygen Pulse and CFR

    Correlation between oxygen pulse (O₂ pulse), measured by cardiopulmonary exercise testing (CPET), and cFR, assessed during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  9. Correlation Between Oxygen Pulse and Resting Full-Cycle Ratio (RFR)

    Correlation between oxygen pulse (O₂ pulse), measured by cardiopulmonary exercise testing (CPET), and resting full-cycle ratio (RFR), assessed during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

Secondary outcomes

  1. Correlation Between E/e' Ratio and Index of Microcirculatory Resistance (IMR)

    Correlation between the echocardiographically assessed E/e' ratio, a marker of left ventricular filling pressure, and the index of microcirculatory resistance (IMR), measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  2. Correlation Between E/e' Ratio and cFR

    Correlation between the echocardiographically assessed E/e' ratio and cFR, measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  3. Correlation Between E/e' Ratio and Resting Full-Cycle Ratio (RFR)

    Correlation between the echocardiographically assessed E/e' ratio and resting full-cycle ratio (RFR), measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  4. Correlation Between Left Atrial Volume Index (LAVI) and Index of Microcirculatory Resistance (IMR)

    Correlation between left atrial volume index (LAVI), assessed by transthoracic echocardiography and expressed in mL/m², and the index of microcirculatory resistance (IMR), measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  5. Correlation Between Left Atrial Volume Index (LAVI) and cFR

    Correlation between left atrial volume index (LAVI), assessed by transthoracic echocardiography and expressed in mL/m², and cFR, measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  6. Correlation Between Left Atrial Volume Index (LAVI) and Resting Full-Cycle Ratio (RFR)

    Correlation between left atrial volume index (LAVI), assessed by transthoracic echocardiography and expressed in mL/m², and resting full-cycle ratio (RFR), measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  7. Correlation Between TAPSE/PASP Ratio and Index of Microcirculatory Resistance (IMR)

    Correlation between the ratio of tricuspid annular plane systolic excursion to pulmonary artery systolic pressure (TAPSE/PASP), assessed by transthoracic echocardiography as an index of right ventricular-pulmonary arterial coupling, and the index of microcirculatory resistance (IMR), measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  8. Correlation Between TAPSE/PASP Ratio and cFR

    Correlation between the echocardiographically assessed TAPSE/PASP ratio, an index of right ventricular-pulmonary arterial coupling, and cFR, measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  9. Correlation Between TAPSE/PASP Ratio and Resting Full-Cycle Ratio (RFR)

    Correlation between the echocardiographically assessed TAPSE/PASP ratio, an index of right ventricular-pulmonary arterial coupling, and resting full-cycle ratio (RFR), measured during invasive coronary angiography. The association will be quantified using Pearson's or Spearman's correlation coefficient, as appropriate. The correlation coefficient is dimensionless.

    Time frame: Baseline (during the initial diagnostic assessment)

  10. Number of Distinct Coronary Microvascular Dysfunction Phenotypes Identified by Cluster Analysis

    Number of distinct phenotypic clusters identified among symptomatic patients with ANOCA or HFpEF using unsupervised cluster analysis of baseline cardiopulmonary exercise testing parameters, echocardiographic markers, and invasive coronary physiological indices.

    Time frame: Baseline (during the initial diagnostic assessment)

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Study locations

1 of 1 sites recruiting
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Aug 2025 (actual). Primary completion is estimated for Jun 2029, 45 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 11, 2025
First posted
Nov 12, 2026
StartActual
Aug 11, 2025
Primary completionEst.
Jun 1, 2029
CompletionEst.
Jun 1, 2029
Last update
Nov 12, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Nov 12, 2026
Show all 1 update
  1. Nov 12, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07933172
Lead sponsor
Heart and Diabetes Center North-Rhine Westfalia
Responsible party
Muhammed Gerçek (Principal Investigator, Heart and Diabetes Center North-Rhine Westfalia) — Principal investigator
First posted
Nov 12, 2026
Start date
Aug 11, 2025
Primary completion
Jun 1, 2029 (estimated)
Completion
Jun 1, 2029 (estimated)
Last update
Nov 12, 2026

Study contacts

Muhammed Gercek
Contact
mugercek@hdz-nrw.de
0049571971258

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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