Biomarkers Predicting Acute Myocardial Infraction in Patients Without Standard Modifiable Risk Factors

NCT ID: NCT05535582

Last Updated: 2025-10-02

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 1000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2022-04-10
• Study Completion Date: 2025-09-30

Brief Summary

Coronary heart disease (CHD) is the leading cause of mortality worldwide. Every year, millions of people suffer its most adverse manifestation, an acute myocardial infraction (AMI). The majority of these patients present at least one of the standard modifiable risk factors (SMuRFs). These include smoking, hypertension, dyslipidemia, and diabetes mellitus (DM). However, emerging scientific evidence recognizes a clinically significant proportion of patients presenting with life-threatening AMI without any SMuRF (SMuRF-less patients). This proportion of patients with ACS without SMuRF appears to be increasing during the last two decades and has recently been reported as high as 20% (of total AMIs). To date, there are no scientific data capable of highlighting specific risk factors-biomarkers responsible for the development of AMIs SMuRF-less patients. Therefore, two groups of patients with AMI (with SMuRFs vs SMuRF-less) will be compared regarding their clinical, laboratory and imaging (echocardiographic and angiographic) profile, and possible predictive factors leading to SMuRF-less AMI will be evaluated. On the basis of the above, the aim is to prospectively analyze a cohort of well-characterized patients with AMI. The rationale of the study is to investigate potential correlations between metabolic profile of patients and SMuRF-less AMI. This could lead to the development of predictive risk stratification algorithms for patients without SMuRFs and coronary artery disease.

Detailed Description

Coronary artery disease (CAD) is the leading cause of mortality worldwide. Every year, millions of people suffer its most adverse manifestation, an acute myocardial infraction (AMI). The majority of these patients present at least one of the standard modifiable risk factors (SMuRFs). These include smoking, hypertension, dyslipidemia, and diabetes mellitus (DM). However, emerging scientific evidence recognizes a clinically significant proportion of patients presenting with life-threatening AMI without any SMuRF (SMuRF-less patients). This proportion of patients with ACS without SMuRF appears to be increasing during the last two decades and has recently been reported as high as 20% (of total AMIs). To date, there are no scientific data capable of highlighting specific risk factors-biomarkers responsible for the development of AMIs SMuRF-less patients.

Concurrently, it has been shown that atherogenesis, as well as the subsequent inflammatory processes that can lead to AMI, are not only closely related to dyslipidemia, hypertension, DM and smoking, but also to pro-inflammatory cytokines and proteins (such as Lipoprotein a [LPa], interleukin 6 [IL-6]) and other indicators of inflammation, such as soluble urokinase plasminogen activator receptor (suPAR). This could render these biomarkers potential risk factors for the occurence of AMI. Furthermore, clinical entities, such as various autoimmune and collagen diseases (e.g. rheumatoid arthritis), as well as psychiatric syndromes (such as depression) have been associated with an increased risk of atherosclerotic disease. In addition, newer techniques and measurements in trans-thoracic echocardiography, such as GLS (Global Longitudinal peak systolic strain) and Myocardial Work have been linked to "silent" myocardial ischemia and -there is emerging evidence indicating that they- might predict future cardiovascular events. Therefore, the two groups of patients (with SMuRFs vs SMuRF-less) will be compared regarding their clinical, basic and advanced laboratory, and imaging fingerprints for the assessment of predictive factors leading to SMuRF-less AMIs. On the basis of the above, the aim is to prospectively analyze a cohort of well-characterized patients with AMI. The rationale of the study is to investigate potential correlations between clinical, laboratory and imaging profile of patients and SMuRF-less AMI. This could lead to the development of predictive risk stratification algorithms for patients without SMuRFs and coronary artery disease.

Patients will be enrolled in two academic hospitals and a general military hospital in Thessaloniki, Greece. A complete and comprehensive medical interview will be conducted in each eligible patient after revascularization. From this interview, the following demographic and clinical information will be obtained: age, sex, contact information, exact symptoms and disease history, detailed medical history, diagnostic and therapeutic interventions performed in the past and medication received. In addition, the patient's laboratory data will be recorded on admission and during hospitalization. These will include: complete blood count, biochemical control, coagulation mechanism control, hormonal control, HbA1c, NTproBNP, HsTnT on admission, higher-peak value of HsTnT, and NTproBNP, and LPa, IL-6, suPAR levels on admission. Furthermore, each patient will undergo a full echocardiographic examination with a specific protocol that includes specialized and modern measurements such as Global Longitudinal Strain (GLS) of the left ventricle and the rest heart cavities, as well as non-invasive calculation of myocardial work of the left ventricle (Global Constructive Work, Global Wasted Work, Global Work Index, Global Work Efficiency; Myocardial Work). Univariate and multivariate analysis with linear and logistic regression models will be used to investigate independent prognostic factors contributing to the occurrence of SMuRF-less AMIs. The potential application in daily clinical practice of a derived clinical predictive model-algorithm, possibly including a clinical, laboratory and echocardiographic biomarkers, will contribute to the early prognosis and personalized prevention of such a particular category of AMIs.

Conditions

Cardiovascular Diseases; Acute Myocardial Infarction; Acute Coronary Syndrome; Metabolic Disturbance

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: OTHER

Study Groups

Patients with SMuRFs

Patients with acute myocardial infraction with a history of at least one standard modifiable risk factor (SMuRF; smoking, diabetes mellitus, dyslipidemia, hypertension)

Investigation of clinical, laboratory and imaging profile

Intervention Type: DIAGNOSTIC_TEST

Complete and comprehensive medical interview will be conducted in each eligible patient after revascularization. In addition, patient's laboratory data will be recorded on admission and during hospitalization. Furthermore, each patient will undergo a full echocardiographic examination with a specific protocol.

SMuRF-less Patients

Patients with acute myocardial infraction without history of any SMuRF

Investigation of clinical, laboratory and imaging profile

Intervention Type: DIAGNOSTIC_TEST

Complete and comprehensive medical interview will be conducted in each eligible patient after revascularization. In addition, patient's laboratory data will be recorded on admission and during hospitalization. Furthermore, each patient will undergo a full echocardiographic examination with a specific protocol.

Interventions

Investigation of clinical, laboratory and imaging profile

Complete and comprehensive medical interview will be conducted in each eligible patient after revascularization. In addition, patient's laboratory data will be recorded on admission and during hospitalization. Furthermore, each patient will undergo a full echocardiographic examination with a specific protocol.

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

Inclusion Criteria

• Age >25 years
• Hospitalization for acute myocardial infarction (AMI) with or without ST elevation (based on Fourth Universal Definition of Myocardial Infarction)
• Coronary angiography before or after hospitalization for AMI, in which at least one stenosis >50% in a major epicardial coronary artery (left anterior descending artery, left circumflex artery, right coronary artery) or a branch thereof with a diameter of at least 2 mm was observed.

Exclusion Criteria

• Inability or refusal to provide informed consent
• Age >90 years
• History of hospitalization due to AMI prior to the present AMI
• History of coronary revascularization prior to the present AMI AMI

• Known history of hypertension and/or antihypertensive treatment prior to AMI
• Use of tobacco products on a systematic basis for up to <60 months (5 years) before AMI
• History of diabetes mellitus type 1 or 2 and/or treatment with antidiabetic tablets or insulin before AMI or diagnosis of diabetes mellitus based on HbA1c during AMI hospitalization
• Known hypercholesterolemia (total chol >200 mg/dl / LDLc >150 mg/dl) or treatment with statins or PCSK9is, before AMI

• Minimum Eligible Age: 25 Years
• Maximum Eligible Age: 90 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Aristotle University Of Thessaloniki

OTHER

Sponsor Role: lead

Responsible Party

Dimitrios Moysidis

Cardiology Fellow

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Georgios Giannopoulos, Associate Professor

Role: PRINCIPAL_INVESTIGATOR

Aristotle University Of Thessaloniki

Locations

Hippokration General University Hospital of Thessaloniki

Thessaloniki, Central Macedonia, Greece

Countries

Greece

References

Moysidis DV, Daios S, Anastasiou V, Liatsos AC, Papazoglou AS, Karagiannidis E, Kamperidis V, Makedou K, Thisiadou A, Karalazou P, Papadakis M, Savopoulos C, Ziakas A, Giannakoulas G, Vassilikos V, Giannopoulos G. Association of clinical, laboratory and imaging biomarkers with the occurrence of acute myocardial infarction in patients without standard modifiable risk factors - rationale and design of the "Beyond-SMuRFs Study". BMC Cardiovasc Disord. 2023 Mar 23;23(1):149. doi: 10.1186/s12872-023-03180-4.

Reference Type: DERIVED

PMID: 36959584 (View on PubMed)

Other Identifiers

64000-20/4/2022

Identifier Type: -

Identifier Source: org_study_id