About this trial
Microvascular dysfunction, particularly endothelial dysfunction, is increasingly recognized as a key mechanism underlying various cardiovascular diseases (CVD), including heart failure, ischemic heart disease, atherosclerosis, stroke, dementia, and kidney failure. Chronic low-grade inflammation linked to metabolic syndrome may further drive systemic microvascular impairment. Early detection of these subclinical processes using non-invasive assessments could facilitate timely interventions to prevent disease progression.
SCAPIS 2 Spectrum is a prospective observational sub-study of the Swedish Cardiopulmonary Bioimage Study (SCAPIS-2), recruiting approximately 900 subjects aged 60-75 years. The study is organized into five arms-obstructive coronary artery disease (O-CAD), angina with nonobstructive coronary arteries (ANOCA), metabolic syndrome with diabetes, left ventricular systolic dysfunction, and left ventricular diastolic dysfunction-each defined by specific inclusion and exclusion criteria. Participants will undergo a comprehensive microvascular assessment using investigational devices (including Perimed Periflux EPOS, PeriCam MultiFlow, and TCI P4) alongside stress cardiac magnetic resonance imaging (stress-CMR) for cardiac-specific evaluation.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Participated in the SCAPIS baseline (SCAPIS 1 study, 10 years ago)
Cohort specific inclusion criteria apply, as stated in 'groups' section
Has been invited to SCAPIS 2 core Singed informed consent to SCAPIS 2 core
Disqualifiers
Scarring, tattoos, or amputations that preclude device examination
Cohort specific exclusion criteria apply, as stated in 'groups' section
Trial population
SCAPIS 2 General cohort
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Correlation between device-derived skin microcirculation variables and CCTA severity metrics including CAD-RADS (0-5) and plaque burden
Assess the correlation between skin microcirculation parameters measured by investigational devices (icluding PORH; 42°C local heat plateau; flow-motion endothelial-band power; iontophoresis acetylcholine response), coronary CT angiography (CCTA) severity metrics: CAD-RADS score, 0-5, zero is equivalent to no plaque and 5 indicates complete occlusionan (fully blocked) and Plaque burden indices (e.g., Segment Involvement Score \[SIS\]) The device-derived microcirculation parameters are: Baseline perfusion, Perfusion after provocation, Peak perfusion, Time to peak, Recovery time, Capillary recruitment and Oxygen saturation (StO₂) The goal is to determine if these microcirculation measurements reflect coronary disease severity.
Discriminative performance of device-derived microcirculatory variables for significant coronary stenosis
Evaluate the ability of microcirculatory variables measured by investigational devices to discriminate between patients with and without significant coronary stenosis, defined as CAD-RADS ≥ 3 (≥50% luminal narrowing on coronary CT angiography).
Proportion of ANOCA participants (CAD-RADS <3 with angina per Rose questionnaire) who meet CMD criteria on stress-cardiac MRI using perfusion assessment
Calculate the proportion of participants classified as ANOCA (defined as CAD-RADS \< 3 and angina symptoms per Rose Angina Questionnaire) who fulfill criteria for coronary microvascular dysfunction (CMD) based on stress cardiac MRI perfusion assessment according to site-standard protocols
Proportion of INOCA participants (CAD-RADS <3 with ishemia per Rose questionnaire) who meet CMD criteria on stress-cardiac MRI using perfusion assessment.
Calculate the proportion of participants classified as INOCA (CAD-RADS \< 3 and objective ischemia evidence) who fulfill CMD criteria based on stress cardiac MRI perfusion assessment..
Secondary outcomes
Correlation of Myogenic Response with Cardiovascular Disease
Asses the association between myogenic response from device-derived variables and cardiovascular disease incidence; includes incidence of myogenic vs endothelial dysfunction.
Association of Vascular Inflammation with Microcirculatory Variables
Correlation between systemic inflammation biomarkers (e.g., hsCRP, IL-6, GlycA) and device-derived microcirculatory measures; exploratory detection of early inflammatory alterations.
Mechanisms of endothelial damage and Cardiovascular Disease devlopment
Analysis of biomarker panels (endothelial/glycocalyx damage: thrombomodulin, VE-cadherin, syndecan-1, hyaluronan) to identify progression patterns and explore the correlation with device-derived microcirculatory variables.
Development of multi-modal Cardiovascular Disease risk score
Creation and validation of a composite risk score integrating microcirculatory variables derived from investigationa devices and biomarker data; evaluation of predictive performance for Cardiovascular Disease endpoints.
Sponsors and contacts
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