MINOCA registry
OtherPrevalence, demographics, clinical profile, anginal status, presence of cardiovascular risk factors, management and outcomes
NCT Number: NCT04186676
The MINOCA-GR registry will be the first nationwide study aiming to obtain data regarding prevalence, demographics, clinical profile, previous anginal status, presence of cardiovascular risk factors, management and outcomes in patients with Myocardial Infarction with Non-Obstructive Coronary Arteries. An additional purpose of the registry is to highlight, for the first time worldwide to the best of the investigator's knowledge, the role of cardiac computed tomography angiography for risk stratification and personalized therapeutic approach in MINOCA patients.
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Notify Me18 year and older
All sexes
Observational
General Hospital of Veroia, Véroia, Imathia, Greece
MINOCA occurs in 5%-10% of all patients with Acute Myocardial Infarction (AMI) and these patients are younger and more often women in comparison with patients with AMI and obstructive Coronary Artery Disease (CAD). The underlying pathophysiological mechanisms are poorly understood, although several different mechanisms have been proposed, including plaque disruption, spasm, thromboembolism, dissection, microvascular dysfunction and ischemic myocardial injury attributable to supply/demand mismatch. In most, but not all, studies of prognosis, MINOCA patients had better outcomes than their AMI counterparts with coronary artery disease but faced a high risk for recurrent events, with one study finding that 25% of patients with MINOCA experience angina in the following year. Optimal patient management requires early diagnosis as well as understanding which of the myriad of mechanisms (atherosclerotic or non-atherosclerotic as well as a combination of both) may be underlying the initial diagnosis. The effects of secondary preventive treatments proven beneficial in patients with classical type I AMI are unknown in MINOCA patients; randomized clinical trials, and large observational studies, as well, evaluating different treatments in MINOCA patients do not exist. Hence, evidence-based guidelines for treatment of MINOCA are lacking. Elucidating the associations between different treatments and outcome may also increase the understanding of underlying mechanisms of MINOCA. The underlying mechanisms strongly determine prognosis and more importantly, therapeutic interventions as well as their success.
Likewise, multimodality imaging could provide new insights into the management of MINOCA patients. The current research reveals the utility of Cardiac Magnetic Resonance for diagnosis and risk stratification of suspected MINOCA patients but at the same time shows how much more information is needed to further characterize risk and ultimately develop therapeutic approaches to alter its natural history. Computed tomography has a suite of strengths including diagnosis of CAD, identification of plaque characteristics, morphology and perfusion data, and even possibly delayed enhancement; its ability to detect nonobstructive coronary disease by way of visualizing not only the lumen but also plaques is very helpful in our efforts trying to understand microvascular disease, plaque erosion, and myocardial infarction with no obstructive coronary artery. Furthermore, up until recently, high-risk plaque features and lesion specific ischemia are thought to be not directly related. However, emerging evidence suggests a possible relationship between high-risk plaque features, particularly low attenuation plaque volume and positive remodeling, with lesion specific ischemia by fractional flow reserve. Such relationship is independent of degree of luminal stenosis. As a result of the above, it is obvious that Cardiac Computed Tomography Angiography (CCTA) may have a potential role in some selected patients with MINOCA, depending on their clinical picture and stability.
Regarding Greece, the MINOCA-GR registry will be the first prospectively enrolling medical database of this magnitude.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Prevalence, demographics, clinical profile, anginal status, presence of cardiovascular risk factors, management and outcomes
Time frame: 1 month
The SAQ quantifies patients' physical limitations caused by angina, the frequency of and recent changes in their symptoms, their satisfaction with treatment, and the degree to which they perceive their disease to affect their quality of life. Scores range from 0 to 100, where higher scores indicate better function (less physical limitation, less angina and better quality of life).
Time frame: 6 months
The SAQ quantifies patients' physical limitations caused by angina, the frequency of and recent changes in their symptoms, their satisfaction with treatment, and the degree to which they perceive their disease to affect their quality of life. Scores range from 0 to 100, where higher scores indicate better function (less physical limitation, less angina and better quality of life).
Time frame: 12 months
The SAQ quantifies patients' physical limitations caused by angina, the frequency of and recent changes in their symptoms, their satisfaction with treatment, and the degree to which they perceive their disease to affect their quality of life. Scores range from 0 to 100, where higher scores indicate better function (less physical limitation, less angina and better quality of life).
Time frame: 15 days after the acute event
Total atherosclerotic plaque volume (mm3)
Time frame: 15 days after the acute event
Leiden CTA risk score incorporates the presence, extent, severity, location, and composition of coronary artery disease (CAD). Leiden CTA score is calculated using the following approach. First, the presence of CAD is determined in each segment. When plaque is absent the score is 0. When plaque is present a score of 1.1, 1.2 or 1.3 is given according to plaque composition (calcified, noncalcified, and mixed plaque, respectively). Subsequently, this score is multiplied by a weight factor for the location of the segment in the coronary artery tree (0.5 through 6 according to vessel, proximal location and system dominance) and multiplied by a weight factor for stenosis severity (1.4 for ≥50% stenosis and 1.0 for stenosis <50%). The final score (range 0 to 42) is calculated by addition of the individual segment scores. Leiden CTA risk score calculator is available at: http://18.224.14.19/calcApp/.
Time frame: 15 days after the acute event
The relative severity of a lesion is indicated using a score of 1 for 1-25% obstruction and doubling that number as the severity of obstruction progresses with each step in the 25-50-75-90-99-100% diameter reduction. Thus, the severity score for each lesion may range from 1 to 32. Furthermore, the score weighed according to the usual blood flow to the left ventricle in each vessel or vessel segment. A multiplying factor is applied to each lesion score based upon its location in the coronary tree, depending on the functional significance of the area supplied by that segment. If a segment is totally occluded or 99% stenosed and receiving collaterals, a collateral adjustment factor is used, and the adjustment is reduced by the extent of disease in the vessel that is the source of collaterals. The final score is the sum of all the lesion scores (Reference: Rampidis GP et al. A guide for Gensini Score calculation. Atherosclerosis 2019 August 2019;287:181-183).
Time frame: 15 days after the acute event
Calculated by dividing the total coronary volume to the left ventricle (LV) mass, both derived from CCTA (mm3/gr)
Time frame: 12 months
The Medical Outcomes Study 12-Item Short Form (SF-12) is a general health questionnaire and is computed using the scores of 12 questions ranging from 0 to 100, where 0 indicates the lowest level of health and 100 indicates the highest level of health.
Time frame: 12 months
Frequency (%) of chest-pain rehospitalization
Time frame: 12 months
Frequency (%) of hospitalization for a bleeding event
Time frame: 15 days after the acute event
Frequency (%) of occurrence of high-risk plaque features (HU <30, remodelling index > 1.1, napkin-ring sign, spotty calcium)
Time frame: 12 months
Frequency (%) of occurrence of atrial fibrillation
Time frame: 12 months
Frequency (%) of occurrence of acute decompensated heart failure with or without cardiogenic shock
AHEPA University Hospital
Other
Myocardial Infarction With Non-Obstructive Coronary Arteries in the Greek Population: Diagnosis and Management (The MINOCA-GR Registry)
Acronym: MINOCA-GR
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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