Skip to main content

REVIEW article

Front. Cardiovasc. Med., 21 August 2024
Sec. Cardiovascular Imaging
This article is part of the Research Topic Evaluation of Coronary Microvascular Dysfunction Based on Cardiovascular Imaging View all 8 articles

Coronary microvascular dysfunction in autoimmune rheumatic diseases: beyond coronary flow velocity reserve

  • 1Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy
  • 2Department of Medicine, University of Padova, Padova, Italy

Autoimmune rheumatic diseases (ARDs) are a heterogeneous group of disorders characterized by an inappropriate immune reactivity against different body tissues. Patients affected by ARDs present increased cardiovascular morbidity and mortality, which significantly impacts long-term prognosis. Endothelial dysfunction, inflammation, oxidative stress, and autoimmunity are strictly involved in atherosclerosis progression and coronary microvascular dysfunction (CMD), both of which contribute to increased cardiovascular risk. CMD represents the inability of the coronary microvasculature to respond with vasodilation to increased cardiac metabolic demands and can be assessed by non-invasive and invasive imaging tests. Coronary flow velocity reserve assessed by echocardiography has been demonstrated to accurately identify ARDs patients with CMD. However, stress cardiac magnetic resonance (CMR) accurately assesses myocardial ischemia, perfusion, and viability in ARDs patients. The myocardial perfusion reserve index (MPRI) is a robust semiquantitative imaging marker that represents the vasodilatory capacity of the coronary microcirculation in response to a vasodilator stress. In the absence of significant coronary stenosis, ARDs patients revealed a reduced MPRI in comparison with the general population, regardless of the presence of myocardial fibrosis. Identification of CMD in asymptomatic patients could be crucial to precociously start targeted medical therapy, avoiding major adverse cardiac events in this clinical setting. This review aims to summarize the current evidence regarding CMD in ARDs patients, focusing on the role of stress CMR and the promising myocardial perfusion analysis.

Autoimmune rheumatic diseases

Autoimmune rheumatic diseases (ARDs) include a heterogeneous group of disorders characterized by an impairment of tolerance to self-antigens and/or immunoregulation, responsible for an inappropriate immune reactivity against different body tissues (1). In particular, ARDs include rheumatoid arthritis (RA), spondyloarthropathies, systemic lupus erythematosus (SLE), systemic vasculitis, inflammatory cardiomyopathies, mixed connective tissue diseases, and systemic sclerosis (SS). In recent years, the introduction of novel targeted therapy for ARDs has reduced disease-related mortality, although in the absence of a relevant impact on long-term prognosis. In fact, although the average 5-year survival rate in ARDs patients under optimized treatment is currently similar to the general population (2), the long-term life expectancy is significantly lower (3). Interestingly, the reduced long-term life expectancy cannot be attributed to the progression of rheumatic illness but to cardiovascular diseases (CVD), which significantly impact the patient's prognosis (4). In ARDs patients, CVD could be responsible for not only accelerated atherosclerosis but also coronary microvascular dysfunction (CMD) (5). Moreover, CVD in ARDs patients could be asymptomatic or with few symptoms for a long time and become clinically overt after many years with a poor prognosis (6).

Coronary microvascular dysfunction

Coronary microcirculation guarantees the correct blood flow, according to the oxygen requirement, by regulating the resistance of the vascular component (7). The large epicardial coronary arteries (500 µm–5 mm in diameter) are conductance vessels, offering very little resistance. Their main role, secondary to the endothelium-dependent dilatation, is to transport adequate blood quantity. Conversely, pre-arterioles and arterioles control the coronary blood flow, representing the coronary microvasculature. In particular, the epicardial pre-arterioles (100–500 µm in diameter) play as a “pressure controller” at the origin of the arterioles and respond to flow-related stimuli with endothelium-dependent vasoreactivity. The intramyocardial arterioles (<100 µm in diameter) have the highest resistance and, depending on the vessel size, respond by myogenic control or metabolites. In fact, medium-sized arterioles (40–100 µm in diameter) present stretch receptors in the vascular smooth muscle cells and react to pressure variations, leading to vasoconstriction when the intraluminal pressure increases and, conversely, to vasodilation when the pressure decreases. On the contrary, the small arterioles (<40 µm in diameter) are responsive to the intramyocardial concentration of metabolites. Therefore, an increased metabolic activity leads to vasodilation, responsible for pressure reduction in medium-sized arterioles, myogenic dilation, and subsequently increased flow upstream. Finally, in response to the endothelium-dependent vasodilation, pre-arteriole and epicardial coronary artery dilation occurs (8). Capillaries and venules represent the final part of the coronary circulation, and, as well as epicardial arteries, they act as capacitance vessels. This final part of the coronary circulation is crucial for the exchange of oxygen, nutrients, and metabolites between blood and myocardial tissue. Morpho-functional abnormalities of the coronary microcirculation could lead to inadequate blood and oxygen transport, contributing to the pathogenesis of myocardial ischemia (9).

CMD is due to the incompetence of the coronary microvasculature to respond to the increased cardiac metabolic requests (10). Thus, it could be due to the inability to increase coronary blood flow because of functional impairment, the structural damage of the coronary microcirculation (vasodilatory abnormality), and/or the reduction of coronary blood flow (coronary microvascular vasospasm) (8). Thus, this condition could be secondary to cardiac or systemic conditions, responsible for left ventricular (LV) hypertrophy (hypertrophic cardiomyopathy, aortic stenosis) (11), or to diseases related to chronic inflammation (10, 12, 13).

Clinically, patients with CMD present exercise-related angina, evidence of ischemia in non-invasive tests, and either no stenosis or no functionally relevant coronary stenosis (14, 15). Myocardial contractility evaluation could help clinicians in the differential diagnosis between coronary artery disease (CAD) and CMD. An epicardial coronary stenosis, in fact, typically produces a localized myocardial perfusion impairment with a segmental reduction of LV contractility. Conversely, in patients with CMD, the myocardial perfusion impairment is usually global without segmental wall motion abnormalities, because it is not related to a single coronary artery (16). Consequently, CMD patients present a preserved or slightly reduced LV systolic function. Although the absence of obstructive epicardial coronary stenosis, CMD, more frequent in female patients, represents an important cause of myocardial ischemia and is associated with a greater risk for major adverse cardiovascular events (MACEs) (1720). Nevertheless, due to the similarity with angina symptoms, microvascular angina could be diagnosed only after the exclusion of an obstructive epicardial coronary stenosis.

Mechanisms contributing to CMD in ARDs

The long-term prognosis of ARDs patients is closely related to CVD. As reported by Shinomiya et al. (21) in a Japanese population, the prognostic impact of CVD changed dramatically during the last years, making malignancy the most common cause of mortality in RA patients. Similarly, the increased CV risk documented in patients with ankylosing spondylitis, psoriatic arthritis, and SLE (2224) has not been completely attributed to CAD. Thus, CMD has been advocated as a possible explanation of the increased CV risk in ARDs patients, sharing some pathophysiological determinants with ischemic disease.

The pathogenesis of CMD in ARDs has not been fully addressed and remains a debated topic of investigation (8). The clinical inflammation burden in arthritis patients demonstrated to be associated with microvascular flow impairment (25). Accordingly, the use of anti-inflammatory biological therapies, such as antitumor necrosis factor-α (TNF-α) treatments, has been shown to improve coronary and peripheral microvascular dysfunction (26). On the other side, although influenced by the observational nature of the study and the inflammation burden evaluation, the longitudinal Dudley Rheumatoid Arthritis Comorbidity Cohort (DRACCO) study did not evidence any correlation between cumulative inflammatory burden and endothelial function in a 6-year follow-up (27). In addition, a recent meta-analysis (28) across over 20 studies revealed that coronary flow reserve (CFR) in ARDs, although lower than that in the general population, seems not to be related to inflammation, dyslipidemia, obesity, age, or arterial blood pressure. Therefore, the role of inflammation in determining CMD in ARDs is still controversial.

Endothelial dysfunction represents the primum movens in the microcirculatory impairment, as well as in the atherosclerotic process, and it is due to an imbalance between vasodilation and vasoconstrictive release factors (8, 29). Endothelial dysfunction and arterial stiffness have been described in many chronic inflammatory conditions, including inflammatory bowel disease and psoriasis (30, 31). Endothelial dysfunction is common in ARDs patients, playing a crucial role in both macro- and microvascular dysfunction (10, 32, 33). Systemic endothelial dysfunction is closely related to both reduced availability of nitric oxide (NO) and increased production of reactive oxygen species, secondary to oxidative stress (34). In fact, increased levels of inflammatory mediators, such as interleukin-17 (IL-17), interferon-γ (INF-γ), and TNF-α, activated NADPH oxidases (Nox) enzymes and increased reactive oxygen species production, acting a pivotal role in the pathogenesis of arthritis and endothelial dysfunction (34). Haruna et al. (35) demonstrated that angiotensin receptor blockers inhibit Nox expression, improving endothelial function in animal models of arthritis. Therefore, oxidative stress could be responsible for both local and systemic RA-related vascular damage.

In addition to the pathogenesis of ARDs, T-cells, natural killer (NK) cells, and monocytes play a role also in endothelial dysfunction and CMD in rheumatic diseases (36). NK cells promote vasoconstriction of arterioles and could dysregulate CD28 null (CD4+ and CD8+), producing pro-inflammatory cytokines (TNF-α, INF-γ, IL-2) involved in oxidative stress, endothelial dysfunction, and arteriolar rarefaction (37). Moreover, lymphocyte activation could determine oxidative stress, playing a key role in the pathogenesis and vascular dysfunction of ARDs patients. T-cells and antigen-presenting cells express Nox2 that mediates their activation and immune functions (38). Finally, overexpression of pro-inflammatory cytokines (IL-18, IL-33, and TNF-α) has been identified in RA patients with vascular impairment, confirming the key role in both the inflammatory process and the development of endothelial dysfunction (39). Finally, an imbalance in sympathetic/parasympathetic activation can determine motility dysfunction, acting directly on vascular smooth cells (40).

Assessment of coronary microvascular dysfunction

Based on the functional assessment of the coronary arteries, CMD diagnosis could be performed with invasive and non-invasive methods [(14, 15), Figure 1]. Echocardiography demonstrated to properly evaluate the endothelium-independent microvascular function with the assessment of coronary flow velocity reserve (CFVR) on the left anterior descending artery (41). CFR, first introduced by Gould in 1974, describes the ability of coronary flow to respond with dilation to an increase in metabolic requirements (42, 43). As a dimensionless value, CFVR is defined by the ratio between hyperemic and basal diastolic coronary blood flow velocity (44). During stress (physical or pharmacological-induced with vasodilators), this ratio may increase up to five times the resting values (43). This crucial parameter has been demonstrated to be strongly related to coronary artery lesion severity angiographically detected and intracoronary Doppler flow wire measurements in ischemic heart disease (41). A value of CFVR ≤2.5 is considered abnormal, and it could be due to an epicardial coronary stenosis or myocardial bridge and to CMD (45, 46). In particular, in the absence of an epicardial coronary artery stenosis or bridge, a reduced CFVR is an expression of CMD, and it could be related to (1) a reduced peripheral resistance in basal condition, responsible for an increased coronary flow at baseline and/or (2) high hyperemic peripheral resistance that reducing the arteriolar vasodilatory capability (7). In ARDs patients, a CFVR of ≤2.5 has been demonstrated to correctly identify CMD in the absence of epicardial coronary stenosis (47, 48).

Figure 1
www.frontiersin.org

Figure 1. Non-invasive assessment of coronary microvascular dysfunction.

Cardiac magnetic resonance (CMR) represents a non-invasive method to detect chronic perfusion defects, inducible ischemia, and CMD with vasodilator administration (49).

Single-photon emission computed tomography (SPECT) evaluates the differences in the radionuclide distribution, in the different regions of myocardium, before and after stress (50). Thus, SPECT could detect microvascular impairment through the identification of the relative blood perfusion to the different regions of the myocardium. Moreover, due to the limitations of radiotracers, characterized by low first-pass extraction, significant roll-off uptake at higher flow rates and intestinal uptake, and poor camera sensitivity and temporal resolution, the use of SPECT is quite limited (51). Conversely, positron emission tomography (PET) with 18 F-fluorodeoxyglucose can determine the absolute myocardial blood flow (ml/gr/min), allowing an accurate and precise CMD assessment (50). The myocardial perfusion reserve assessed by PET has been demonstrated to be accurate and reproducible (52, 53). In addition, this parameter has been correlated to adverse outcomes, suggesting a possible prognostic role in the risk stratification of ischemic patients (54). Due to the possibility of detecting and monitoring myocardial inflammation, the combined use of PET-CMR resulted particularly useful in inflammatory cardiomyopathy, such as sarcoidosis (55). However, similarly to SPECT, PET has some limitations as well regarding radiation exposure, radiotracer cost, and diffusion of the exam (56).

Finally, perfusion coronary computed tomography angiography (CCTA) revealed its non-inferiority to SPECT in myocardial inducible ischemia detection (57). Similar to CMR, perfusion CCTA, using pharmacological stressors, accurately identifies the presence of a hypodense area due to reduced perfusion during hyperemia (58). However, due to the heterogeneity of evidence in the literature regarding pharmacologic stress agents, imaging sequence acquisition and post-processing, and different scanner machines used, an expert consensus regarding the use and feasibility of perfusion CCTA is lacking. Therefore, based on the high negative predictive value of CCTA, the addition of perfusion evaluation to the standard CCTA protocol acquisition could be considered in those patients with coronary stenosis with unknown hemodynamic significance (59, 60).

Accordingly, the European Guidelines on chronic coronary syndrome suggested with an indication IIb the non-invasive assessment of CFR with transthoracic echocardiography on the left anterior descending artery, CMR, and PET (14).

Finally, CMD could be also assessed invasively with coronary angiography. The first invasive evidence of CMD was the observation of “slow” coronary flow in patients with chest pain and no obstructive coronary lesions (61). In the absence of a significant coronary lesion, the slow flow was attributed to the high coronary microvasculature resistance, which delayed the contrast passage in the distal part of the coronary. It is possible to quantify the contrast agent velocity passage in the coronary artery. In fact, the thrombolysis in myocardial infarction (TIMI) criteria evaluates the grade of opacification after contrast administration, assigning a score from 0, no reperfusion, to 3, optimal reperfusion. Secondly, the corrected TIMI frame count counts the number of cine frame numbers needed by the contrast agent to reach standardized distal coronary landmarks (62). In addition, CMD could be assessed invasively through the index of myocardial resistance, based on the hyperemic and basal intracoronary pressure (63), reflecting functional and/or structural coronary abnormalities (8). Finally, the intracoronary administration of vasoactive agents (acetylcholine or ergonovine) could assess the endothelium-dependent microvascular function. These vasoactive agents produce a massive stimulation of NO, resulting in vasodilation in normal coronary arteries. On the contrary, in CMD patients, the administration of vasoactive agents cannot contrast the vasoconstriction, induced by the endothelial dysfunction (64).

Stress CMR in the CMD evaluation: from acquisition to interpretation

Stress CMR has been demonstrated to accurately assess myocardial ischemia and viability, as well as CMD, revealing a good correlation with PET (65). In comparison to other non-invasive imaging tests, stress CMR presents some technical advantages, principally connected to its high spatial resolution and excellent safety profile, without the use of ionizing radiation or iodinated contrast agents (6567). Finally, the complete independence from the patient's acoustic window and soft tissue attenuation makes CMR very promising in the CMD evaluation.

Stress CMR is based on the identification of signal changes of contrast agents that pass through the cardiac chambers and myocardium during dynamic contrast-enhanced perfusion imaging (Figure 2). To evaluate the efficacy of myocardial perfusion in response to increased metabolic requests, it is essential to compare the stress and rest images. Myocardial stress imaging is obtained with intravenous vasodilator administration, commonly using adenosine, dipyridamole, regadenoson, or adenosine triphosphate (66). Each vasodilator agent presents peculiar pharmacokinetic and hemodynamic properties, so the choice depends on local preferences. Adenosine, commonly used for echocardiographic CFVR evaluation, requires a continuous infusion based on the patient's weight (140 μg/kg/min) in an intravenous catheter, different from that used for contrast administration. Adenosine increases coronary blood flow approximately 3–5-fold and is contraindicated in patients with asthma and advanced atrioventricular block (68). Dipyridamole requires a 4 min infusion at a dose of 0.56 mg/kg. Conversely to adenosine, dipyridamole is characterized by a longer half-life with a consequent prolonged duration of side effects and less reproducible vasodilation (69). Regadenoson presents the advantage of using a non-weight-based fixed dose (400 μg) with a half-life of 20 min (66). Due to its longer half-life, regadenoson could require aminophylline administration to easily terminate the side effects of vasodilation, as well as for dipyridamole. Different from adenosine, regadenoson is contraindicated only for patients with advanced atrioventricular blocks, which is safe in asthma patients. Due to its properties, regadenoson is the most used vasodilator in clinical practice. Adenosine triphosphate shares with adenosine the same hemodynamic effects, requiring a slightly longer infusion, but it is used mainly in the Asian–Pacific regions (68).

Figure 2
www.frontiersin.org

Figure 2. Standard stress cardiac magnetic resonance study protocol. After localizer acquisition, a vasodilator is administered to achieve adequate myocardial stress. Consequently, stress perfusion images are acquired in a three-slice short axis, and gadolinium-based contrast is injected. After stress, cine imaging is acquired. Finally, rest first-pass perfusion imaging and late gadolinium enhancement sequences are acquired to assess viability.

During vasodilator administration, an evaluation of correct myocardium activation, in terms of an effective increase of cardiac metabolic requests, is mandatory. In fact, an accurate stress CMR is based not only on a correct imaging acquisition but also on an effective increase of myocardium metabolic requests, responsible for a greater coronary blood flow. An increase in heart rate of >10 bpm or a reduction of systolic blood pressure of >10 mmHg with classical vasodilation-induced symptoms (palpitation, dyspnea) is considered markers of an efficient hyperemic response after 2–3 min of vasodilator agent infusion (66). During adenosine infusion, the evidence of a splenic switch-off represents a sign of an appropriate response to the vasodilator. In fact, adenosine plays an action on the A1/A2B receptors in the splenic blood vessels, producing vasoconstriction and a consequent reduction of spleen intensity (70). In the presence of an inadequate hyperemic response, an increase in adenosine dose (up to 210 μg/kg/min) could be considered to reach evaluable myocardial stress (71).

After vasodilator administration, gadolinium-based contrast is injected (0.2 mmol/kg of body weight), followed by saline flush (≥30 ml) into a peripheral vein. Therefore, the distribution of gadolinium-based contrast into cardiac chambers and, consequently, to myocardium allows the evaluation of early myocardial perfusion with electrocardiogram-gated fast T1-sensitive sequences, performed in stress and, subsequently, in the rest (72). In these sequences, an impaired perfusion is responsible for a slow contrast agent diffusion and a reduced T1 signal, in comparison to normal segments.

After 10 min from the stress myocardial perfusion imaging, the rest perfusion imaging could be acquired. In particular, the rest perfusion sequences should be performed with the same image position and the same dose of gadolinium-based contrast, without vasodilator agent administration. Cine sequence images are usually obtained between stress and rest imaging perfusion acquisition.

Stress perfusion CMR is usually interpreted qualitatively in routine clinical practice, comparing stress and rest images to identify a true perfusion defect (67). A true perfusion defect is characterized by a persistent hypointensity of >5 RR intervals beyond peak myocardial enhancement across more than two pixels. Depending on the extension of the perfusion defect, this persistent hypointensity could be subendocardial or transmural with the involvement of the entire wall thickness, following the coronary distribution (67). A perfusion defect presents only in the stress perfusion imaging could be likely due to a true hypoperfusion, secondary to a coronary stenosis (Figure 3). Conversely, a transient and less than one-pixel-wide hypointensity, which appears when contrast arrives in the left ventricular cavity but before myocardial enhancement, could be due to a dark rim artifact.

Figure 3
www.frontiersin.org

Figure 3. Stress cardiac magnetic resonance in a 68-year-old man with atypical chest pain and negative T waves in the anterior leads. A true perfusion defect is visible as subendocardial hypointense stria (red arrow) in the anterior wall in the stress perfusion imaging, in the absence of myocardial fibrosis in the delayed post-contrast sequences. Rest perfusion images do not reveal any perfusion defects. Invasive coronary angiography confirms the presence of a functionally significant left anterior descending artery disease. ICA, invasive coronary angiography; LGE, late gadolinium enhancement.

LGE sequences are acquired 10 min after the rest perfusion acquisition and allow us to identify the presence of myocardium fibrosis and assess viability. An ischemic LGE pattern is characterized by a subendocardial or transmural hyperintense stria, depending on the extension of the ischemic process. The wall thickness extension of LGE, as well as the number of segments involved in the ischemic process, has an important prognostic value. In particular, Kim et al. (73) demonstrated that the change of recovery in cardiac function was 60%, 40%, 10%, and 1% for wall thickness infarcts involving 1%–25%, 26%–50%, 51%–75%, and >75% thickness infarct, respectively. Perfusion defect, in the absence of LGE, could be due to a dysfunctional myocardium secondary to stunning or hibernation (74).

Semiquantitative and quantitative myocardial perfusion analysis with stress CMR

Patients with CMD usually present coronary arteries free of significant lesions. The absence of an inducible perfusion defect has excellent accuracy in identifying low-risk patients with known or suspected CAD (75). However, the absence of a perfusion defect is not synonymous with normal coronary flow because it could hide a CMD. Myocardial perfusion in stress CMR could be evaluated with visual or quantitative assessment. Visual assessment of myocardial perfusion in CMD patients demonstrated a sensitivity of 41% (95% CI: 27%–57%) (76). Thus, a more accurate and reproducible evaluation of myocardial perfusion could be obtained with quantitative assessment. Semi- and fully quantitative methods revealed high sensitivity and specificity, allowing a more accurate evaluation of CMD (7779). These quantitative methods are based on the signal intensity during the first pass of gadolinium-based contrast to the myocardium. The evaluation of the signal intensity profile is related to semiquantitative methods and allows us to evaluate the myocardial perfusion reserve index (MPRI), using a dedicated post-processing software (67). After loading stress and rest perfusion imaging in the dedicated module, the endocardium and epicardium are manually traced in the basal, mid, and apical slices of both stress and rest perfusion images. A segment of the LV blood cavity, with the exclusion of papillary muscles, is traced in each image. To provide LV myocardial segmentation, the superior and inferior insertion points of the right and left walls are labeled. Finally, the signal intensity of the myocardium and LV blood pool are automatically generated by the software. MPRI is a robust semiquantitative imaging marker that represents the vasodilatory capacity of the coronary microcirculation in response to a vasodilator stress (Figure 4) (80, 81). MPRI is calculated as the ratio between stress and rest upslope normalized to the upslope of the LV blood pool (82, 83). Similar to echocardiography and PET, a reduced MPRI is a sign of reduced coronary vasodilation in response to hemodynamic stress and could be useful for the CMD diagnosis (84, 85). A global MPRI of ≥2.0 is considered normal (86, 87).

Figure 4
www.frontiersin.org

Figure 4. Cardiac magnetic resonance semiquantitative myocardial perfusion assessment. After loading stress and rest perfusion imaging in the dedicated module, the endocardium and epicardium are manually traced in both rest and stress perfusion images (red and green contours, respectively). A segment of the left ventricular (LV) blood cavity, with the exclusion of papillary muscles, is traced in each image (orange contour in the LV cavity). To provide LV myocardial segmentation, the superior and inferior insertion points of the right and left walls are labeled (blue and pink points, respectively). Finally, the signal intensity of the myocardium and LV blood pool are automatically generated by the software, and a bull's eye is provided. In the bull's eye, the myocardial perfusion reserve index (MPRI) is automatically derived by the software.

Several evidence showed that CMD patients presented an unfavorable outcome with a greater risk of cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, and hospitalization due to heart failure or unstable angina (8890). Reduced myocardial perfusion assessed by stress CMR has been demonstrated to be predictive of MACEs in a women’s cohort with myocardial ischemia without significant coronary artery lesions, suggesting its prognostic role (91). Furthermore, Zhou et al. (86) demonstrated that an MPRI of ≤1.47 can predict MACEs in CMD patients (HR = 3.14; 95% CI: 1.58–6.25; p = 0.001). Therefore, MPRI emerged as a useful diagnostic and prognostic marker of impaired myocardial perfusion, in the absence of significant coronary stenosis in CMD patients, helping clinicians in patient risk stratification.

Finally, stress CMR could also estimate the myocardial blood flow (MBF) in units of milliliters of blood per minute per gram (ml/min/g), allowing a fully quantitative analysis of myocardial perfusion. To correctly estimate the MBF, an accurate measurement of the arterial input function is crucial, using a dual-bolus method or a dual-sequence technique (81, 92).

MPRI in ARDs patients

CVD strongly impacts the long-term prognosis of ARDs patients. Therefore, the identification of CMD, as a significant determinant of increased CV risk, becomes crucial to address the best therapeutic management and clinical follow-up for patients with ARDs. As previously described, several non-invasive and invasive methods could be used to identify CMD. Recently, stress CMR revealed its potential to evaluate myocardial ischemia, perfusion, and tissue characterization, avoiding the well-known echocardiography limitations in image acquisition. MPRI has been widely evaluated in ARDs patients with promising results. Chen et al. (17) have demonstrated that among women with CMD (19/207 patients), patients with ARDs presented reduced MPRI (p = 0.008), not captured by the echocardiographic CFVR (p = 0.07). Confirming this result, MPRI has been evaluated in many ARDs (Table 1).

Table 1
www.frontiersin.org

Table 1. Myocardial perfusion reserve index performed by cardiac magnetic resonance in ARDs patients.

SLE is a systemic autoimmune disorder, more prevalent in females, characterized by chronic and systemic inflammation. Morbidity and mortality in SLE are mainly due to cardiac manifestations, especially CAD and myocarditis (10). SLE patients demonstrated to have a 7.5-fold increased risk of developing CAD in comparison to the general population (10). Although an accelerated atherosclerotic process could partially explain this increased CV risk, myocardial ischemia potentially due to CMD has been hypothesized. A significant CFVR reduction has been reported in young women affected by SLE, confirming the presence of coronary microvascular impairment (99, 100). Accordingly, an impaired microvascular perfusion visually assessed with stress CMR has been identified in a small cohort of 20 SLE female patients with chest pain and non-obstructive CAD on CCTA (93). In this study, SLE emerged as the only determinant of a reduced subepicardial MPRI, which has been identified in patients when compared to the control group (2.0 ± 0.4 vs. 2.4 ± 0.4; p = 0.031). Sandhu et al. (94) evaluated the prognostic role of MPRI in a small group of SLE female patients with chest pain who underwent CCTA and stress CMR at baseline and after 5 years. This study demonstrated that after 5-year of follow-up, the majority of SLE patients had persistent angina (11/17 patients) and nearly half had similar or worsened MPRI compared to the baseline, confirming that CMD represents a major cause of persistent chest pain in the absence of obstructive coronary lesions in this subset of patients.

Systemic sclerosis is a connective tissue disease characterized by vascular dysfunction, autoimmunity, and increased fibroblast activity, responsible for systemic diffuse fibrosis (95). Cardiac involvement is mainly due to the fibrinoid necrosis of intramural coronaries, detected by pathology, that determines diffuse myocardial fibrosis, hypoperfusion, and, consequently, CMD (96). The absence of significant epicardial coronary stenosis confirms that the high microcirculation resistance, secondary to vascular fibrosis, compromises myocardial perfusion (101). Accordingly, CMR widely reported diffuse and non-segmental myocardial fibrosis, not related to coronary artery distribution, as a manifestation of diffuse hypoperfusion (95, 102, 103). As an expression of impaired coronary microvasculature, a reduced CFVR has been found in about 50%–60% of clinically scleroderma patients (104, 105). Mavrogeni et al. (95) showed that SS patients had lower MPRI in comparison with CAD patients (1.2 ± 0.5 vs. 1.8 ± 0.2) and, consequently, than controls (1.2 ± 0.5 vs. 2.46 ± 0.3, p < 0.001). After 2 years of follow-up, a further reduction of MPRI from the baseline has been reported (0.5 ± 0.1 vs. 0.9 ± 0.2), in the absence of significant morpho-functional modifications, confirming the pivotal role of CMD in the cardiac involvement in SS patients (103). A potential role of nifedipine in the improvement of myocardial perfusion has been advocated, suggesting a possible reversibility of the perfusion defect (106). Likewise, Allanore et al. (107) described an interesting role of bosentan in myocardial perfusion and function in SS patients. Similar to other ARDs, cardiac involvement, in terms of CMD, has been associated with a poor prognosis (101, 108).

Peripheral Raynaud's phenomenon, first reported by Raynaud in 1892 as episodic digital ischemia in response to cold exposure or emotion in the absence of any arterial occlusion, could be associated with cardiac manifestations (97, 109). Similarly to CMD, Raynaud's phenomenon involves mainly young women (110), and it could be primary or secondary to other ARDs or connective tissue disorders (111). As a vasospastic disorder responsible for color and trophic skin changes, coronary microvasculature has been demonstrated to be strongly involved in the natural history of the disease. In fact, recently, a lower MPRI has been reported in patients with Raynaud's phenomenon, both for primary and secondary forms, in comparison to the control group (1.7 ± 0.6 vs. 3.5 ± 0.4, p < 0.001, and 0.7 ± 0.2 vs. 3.5 ± 0.4, p < 0.001, respectively). Patients with secondary Raynaud's phenomenon seem to have a more severe coronary microvasculature impairment in comparison with those with primary one (0.7 ± 0.2 vs. 1.7 ± 0.6, p < 0.001) (97).

Finally, patients affected by antiphospholipid syndrome (APS) have been demonstrated to have CMD. APS is a rare systemic autoimmune disease, characterized by vascular thrombosis, pregnancy morbidity, and persistent positive APL antibodies, often associated with SLE (as secondary APS) (1, 112). Thus, according to other ARDs, APS patients presented lower MPRI values when compared to controls (1.5 vs. 2.7, p < 0.001), regardless of the presence of myocardial fibrosis. Myocardial fibrosis was detected in one-third of APS patients (16/44 patients); twelve patients underwent coronary angiography, revealing CAD in only two patients. Interestingly, in the 12-month follow-up, three patients with the lowest MPRI values experienced ischemic events (one patient with myocardial infarction and two patients with unstable angina) (98). Thus, MPRI was able to identify CMD and, interestingly, the lowest value resulted associated with MACEs, revealing a prognostic role in APS patients.

Although MPRI has been studied in a small cohort of ARDs patients, reflecting the real-world prevalence of these diseases, the precocious identification of abnormal myocardial perfusion could have important clinical repercussions. Firstly, stress CMR emerges as a valuable and reproducible non-invasive tool, able to identify CMD in ARDs patients. Secondly, the recognition of cardiac involvement in ARDs patients without angina-related symptoms allows us to start therapy early, aiming to reduce the CMD’s negative prognostic role on MACEs. Although a specific therapy for CMD in ARDs patients has not been reported, the beneficial role of antianginal and anti-atherosclerotic therapy in CMD patients has been extensively described (113). In fact, beta-blockers, nitrates, and calcium-channel blockers are widely demonstrated to improve angina symptoms and exercise capacity in CMD patients (114). Beta-blockers are considered the first-line therapy for CMD patients for their role in reducing adrenergic activity and myocardial oxygen demand through the NO-mediated vasodilatory effect (16). Nitrates could be considered in patients with acute anginal episodes and an abnormal vasodilatory reserve (115). Finally, calcium-channel blockers are the first-line therapy for patients with vasospasm-mediated CMD (115, 116). Moreover, considering the possible overlap of CMD with atherosclerosis, the use of angiotensin-converting enzyme inhibitors or receptor blockers, statins, and aspirin revealed a beneficial effect, in terms of endothelial function improvement, plaque, and oxidative stress reduction and anti-inflammation role in CMD patients (113).

Finally, non-pharmacologic treatment including exercise, weight loss, and smoking cessation has been demonstrated to improve CFR and angina-related symptoms in CMD patients (117, 118).

Therefore, based on these promising results and the potential clinical repercussions of an early CMD diagnosis, the role of MPRI should be further investigated to establish its validity also in other clinical settings.

Conclusions

Patients with ARDs present an increased CV risk, not fully explained by atherosclerotic progression. CMD emerges as a crucial determinant of CV risk in these patients, as the result of inflammation, endothelial dysfunction, oxidative stress, and autoimmunity. Although several non-invasive and invasive imaging tests can identify CMD, stress CMR has been demonstrated to accurately assess myocardial ischemia, viability, and CMD in ARDs patients. Early CMD diagnosis in asymptomatic patients may allow us to start a precocious therapy to significantly impact the natural history of the disease.

Author contributions

AC: Writing – original draft. MP: Writing – review & editing. EZ: Writing – review & editing. GC: Writing – review & editing. SI: Writing – review & editing. FT: Writing – review & editing.

Funding

The authors declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The authors declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

APS, antiphospholipid syndrome; ARDs, autoimmune rheumatic diseases; CAD, coronary artery disease; CCTA, coronary computed tomography angiography; CFR, coronary flow reserve; CFVR, coronary flow velocity reserve; CMD, coronary microvascular dysfunction; CMR, cardiac magnetic resonance; CV, cardiovascular; CVD, cardiovascular disease; LV, left ventricular; IL, interleukin; INF- γ, interferon-γ; MACE, major adverse cardiovascular event; MBF, myocardial blood flow; MPRI, myocardial perfusion reserve index; NO, nitric oxide; Nox, NADPH oxidases; PET, positron emission tomography; RA, rheumatoid arthritis; SLE, systemic lupus erythematous; SPECT, single-photon emission computed tomography; SS, systemic sclerosis; TIMI, thrombolysis in myocardial infarction; TNF-α, tumor necrosis factor-α.

References

1. Mavrogeni S, Pepe A, Nijveldt R, Ntusi N, Sierra-Galan LM, Bratis K, et al. Cardiovascular magnetic resonance in autoimmune rheumatic diseases: a clinical consensus document by the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. (2022) 23:e308–22. doi: 10.1093/ehjci/jeac134

PubMed Abstract | Crossref Full Text | Google Scholar

2. Bournia V-K, Fragoulis GE, Mitrou P, Mathioudakis K, Tsolakidis A, Konstantonis G, et al. All-cause mortality in systemic rheumatic diseases under treatment compared with the general population, 2015–2019. RMD Open. (2021) 7:e001694. doi: 10.1136/rmdopen-2021-001694

PubMed Abstract | Crossref Full Text | Google Scholar

3. Goldblatt F, O’Neill SG. Clinical aspects of autoimmune rheumatic diseases. Lancet. (2013) 382:797–808. doi: 10.1016/S0140-6736(13)61499-3

PubMed Abstract | Crossref Full Text | Google Scholar

4. Kitas GD, Gabrie SE. Cardiovascular disease in rheumatoid arthritis: state of the art and future perspectives. Ann Rheum Dis. (2011) 70:8–14. doi: 10.1136/ard.2010.142133

PubMed Abstract | Crossref Full Text | Google Scholar

5. Pepine CJ, Anderson RD, Sharaf BL, Reis SE, Smith KM, Handberg EM, et al. Coronary microvascular reactivity to adenosine predicts adverse outcome in women evaluated for suspected ischemia results from the National Heart, Lung and Blood Institute WISE (Women’s Ischemia Syndrome Evaluation) study. J Am Coll Cardiol. (2010) 55:2825–32. doi: 10.1016/j.jacc.2010.01.054

PubMed Abstract | Crossref Full Text | Google Scholar

6. Mavrogeni S, Karabela G, Stavropoulos E, Gialafos E, Sfendouraki E, Kyrou L, et al. Imaging patterns of heart failure in rheumatoid arthritis evaluated by cardiovascular magnetic resonance. Int J Cardiol. (2013) 168:4333–5. doi: 10.1016/j.ijcard.2013.05.085

PubMed Abstract | Crossref Full Text | Google Scholar

7. Camici PG, Crea F. Coronary microvascular dysfunction. N Engl J Med. (2007) 356:830–40. doi: 10.1056/NEJMra061889

PubMed Abstract | Crossref Full Text | Google Scholar

8. Konst RE, Guzik TJ, Kaski JC, Maas AHEM, Elias-Smale SE. The pathogenic role of coronary microvascular dysfunction in the setting of other cardiac or systemic conditions. Cardiovasc Res. (2020) 116:817–28. doi: 10.1093/cvr/cvaa009

PubMed Abstract | Crossref Full Text | Google Scholar

9. Taqueti VR, Di Carli MF. Coronary microvascular disease pathogenic mechanisms and therapeutic options: jacc state-of-the-art review. J Am Coll Cardiol. (2018) 72:2625–41. doi: 10.1016/j.jacc.2018.09.042

PubMed Abstract | Crossref Full Text | Google Scholar

10. Zanatta E, Colombo C, D'Amico G, d'Humières T, Lin C D, Tona F. Inflammation and coronary microvascular dysfunction in autoimmune rheumatic diseases. Int J Mol Sci. (2019) 20:5563. doi: 10.3390/ijms20225563

PubMed Abstract | Crossref Full Text | Google Scholar

11. Crea F, Camici PG, Bairey Merz CN. Coronary microvascular dysfunction: an update. Eur Heart J. (2014) 35:1101–11. doi: 10.1093/eurheartj/eht513

PubMed Abstract | Crossref Full Text | Google Scholar

12. Osto E, Piaserico S, Maddalozzo A, Forchetti G, Montisci R, Famoso G, et al. Impaired coronary flow reserve in young patients affected by severe psoriasis. Atherosclerosis. (2012) 221:113–7. doi: 10.1016/j.atherosclerosis.2011.12.015

PubMed Abstract | Crossref Full Text | Google Scholar

13. Tona F, Serra R, Di Ascenzo L, Osto E, Scarda A, Fabris R, et al. Systemic inflammation is related to coronary microvascular dysfunction in obese patients without obstructive coronary disease. Nutr Metab Cardiovasc Dis. (2014) 24:447–53. doi: 10.1016/j.numecd.2013.09.021

PubMed Abstract | Crossref Full Text | Google Scholar

14. Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, et al. 2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. (2020) 41:407–77. doi: 10.1093/eurheartj/ehz425

PubMed Abstract | Crossref Full Text | Google Scholar

15. Ong P, Camici PG, Beltrame JF, Crea F, Shimokawa H, Sechtem U, et al. Coronary vasomotion disorders international study group (COVADIS). International standardization of diagnostic criteria for microvascular angina. Int J Cardiol. (2018) 250:16–20. doi: 10.1016/j.ijcard.2017.08.068

PubMed Abstract | Crossref Full Text | Google Scholar

16. Lanza GA, Crea F. Primary coronary microvascular dysfunction. Circulation. (2010) 121:2317–25. doi: 10.1161/CIRCULATIONAHA.109.900191

PubMed Abstract | Crossref Full Text | Google Scholar

17. Chen MT, Chang J, Manchanda AS, Cook-Wiens G, Shufelt CL, Anderson RD, et al. Autoimmune rheumatic diseases in women with coronary microvascular dysfunction: a report from the Women’s Ischemia Syndrome Evaluation-Coronary Vascular Dysfunction (WISE-CVD) project. Front Cardiovasc Med. (2023) 30(10):1155914. doi: 10.3389/fcvm.2023.1155914

PubMed Abstract | Crossref Full Text | Google Scholar

18. Maddox TM, Stanislawski MA, Grunwald GK, Bradley SM, Ho PM, Tsaiet TT, et al. Nonobstructive coronary artery disease and risk of myocardial infarction. JAMA. (2014) 312:1754–63. doi: 10.1001/jama.2014.14681

PubMed Abstract | Crossref Full Text | Google Scholar

19. Gulati M, Cooper-DeHo RM, McClure C, Johnson BD, Shaw LJ, Handberg EM, et al. Adverse cardiovascular outcomes in women with nonobstructive coronary artery disease: a report from the Women’s Ischemia Syndrome Evaluation Study and the St James Women Take Heart Project. Arch Intern Med. (2009) 169:843–50. doi: 10.1001/archinternmed.2009.50

PubMed Abstract | Crossref Full Text | Google Scholar

20. Brainin P, Frestad D, Prescott E. The prognostic value of coronary endothelial and microvascular dysfunction in subjects with normal or non-obstructive coronary artery disease: a systematic review and meta-analysis. Int J Cardiol. (2018) 254:1–9. doi: 10.1016/j.ijcard.2017.10.052

PubMed Abstract | Crossref Full Text | Google Scholar

21. Shinomiya F, Mima N, Nanba K, Tani K, Nakano S, Egawa H, et al. Life expectancies of Japanese patients with rheumatoid arthritis: a review of deaths over a 20-year period. Mod Rheumatol. (2008) 18:165–9. doi: 10.1007/s10165-008-0031-6

PubMed Abstract | Crossref Full Text | Google Scholar

22. Eriksson JK, Jacobsson L, Bengtsson K, Askling J. Is ankylosing spondylitis a risk factor for cardiovascular disease, and how do these risks compare with those in rheumatoid arthritis? Ann Rheum Dis. (2017) 76:364–70. doi: 10.1136/annrheumdis-2016-209315

PubMed Abstract | Crossref Full Text | Google Scholar

23. Piaserico S, Osto E, Famoso G, Montisci R, De Michieli L, Zanetti I, et al. Long-term prognostic value of coronary flow reserve in psoriasis patients. Atherosclerosis. (2019) 289:57–63. doi: 10.1016/j.atherosclerosis.2019.08.009

PubMed Abstract | Crossref Full Text | Google Scholar

24. Kuo CF, Chou IJ, Rees F, Grainge MJ, Lanyon P, Davenport G, et al. Temporal relationships between systemic lupus erythematosus and comorbidities. Rheumatology. (2019) 58:840–8. doi: 10.1093/rheumatology/key335

PubMed Abstract | Crossref Full Text | Google Scholar

25. Bordy R, Totoson P, Prati C, Marie C, Wendling D, Demougeot C. Microvascular endothelial dysfunction in rheumatoid arthritis. Nat Rev Rheumatol. (2018) 14:404–20. doi: 10.1038/s41584-018-0022-8

PubMed Abstract | Crossref Full Text | Google Scholar

26. Batko B, Maga P, Urbanski K, Ryszawa-Mrozek N, Schramm-Luc A, Koziej M, et al. Microvascular dysfunction in ankylosing spondylitis is associated with disease activity and is improved by anti-TNF treatment. Sci Rep. (2018) 8:13205. doi: 10.1038/s41598-018-31550-y

PubMed Abstract | Crossref Full Text | Google Scholar

27. Sandoo A, Chanchlani N, Hodson J, Smith JP, Douglas KM, Kitas GD. Classical cardiovascular disease risk factors associate with vascular function and morphology in rheumatoid arthritis: a six-year prospective study. Arthritis Res Ther. (2013) 15:R203. doi: 10.1186/ar4396

PubMed Abstract | Crossref Full Text | Google Scholar

28. Erre GL, Buscetta G, Paliogiannis P, Mangoni AA, Carru C, Passiu G, et al. Coronary flow reserve in systemic rheumatic diseases: a systematic review and meta-analysis. Rheumatol Int. (2018) 38:1179–90. doi: 10.1007/s00296-018-4039-8

PubMed Abstract | Crossref Full Text | Google Scholar

29. Ketelhuth DFJ, Lutgens E, Back M, Binder CJ, Van den Bossche J, Daniel C, et al. Immunometabolism and atherosclerosis: perspectives and clinical significance: a position paper from the working group on atherosclerosis and vascular biology of the European Society of Cardiology. Cardiovasc Res. (2019) 115:1385–92. doi: 10.1093/cvr/cvz166

PubMed Abstract | Crossref Full Text | Google Scholar

30. Ikonomidis I, Makavos G, Papadavid E, Varoudi M, Andreadou I, Gravanis K, et al. Similarities in coronary function and myocardial deformation between psoriasis and coronary artery disease: the role of oxidative stress and inflammation. Can J Cardiol. (2015) 31:287–95. doi: 10.1016/j.cjca.2014.11.002

PubMed Abstract | Crossref Full Text | Google Scholar

31. Principi M, Scicchitano P, Carparelli S, Nitti R, Ruggieri R, Bellino MC, et al. Influence of systemic manifestations of inflammatory bowel diseases on endothelial function and cardiovascular risk. Minerva Med. (2022) 113:291–9. doi: 10.23736/S0026-4806.21.06970-6

PubMed Abstract | Crossref Full Text | Google Scholar

32. Prasad M, Hermann J, Gabriel SE, Weyand CM, Mulvagh S, Mankad R, et al. Cardiorheumatology: cardiac involvement in systemic rheumatic disease. Nat Rev Cardiol. (2015) 12:168–76. doi: 10.1038/nrcardio.2014.206

PubMed Abstract | Crossref Full Text | Google Scholar

33. Faccini A, Kaski JC, Camici PG. Coronary microvascular dysfunction in chronic inflammatory rheumatoid diseases. Eur Heart J. (2016) 37:1799–806. doi: 10.1093/eurheartj/ehw018

PubMed Abstract | Crossref Full Text | Google Scholar

34. Small HY, Migliarino S, Czesnikiewicz-Guzik M, Guzik TJ. Hypertension: focus on autoimmunity and oxidative stress. Free Radic Biol Med. (2018) 125:104–15. doi: 10.1016/j.freeradbiomed.2018.05.085

PubMed Abstract | Crossref Full Text | Google Scholar

35. Haruna Y, Morita Y, Komai N, Yada T, Sakuta T, Tomita N, et al. Endothelial dysfunction in rat adjuvant-induced arthritis: vascular superoxide production by NAD(P)H oxidase and uncoupled endothelial nitric oxide synthase. Arthritis Rheum. (2006) 54:1847–55. doi: 10.1002/art.21891

PubMed Abstract | Crossref Full Text | Google Scholar

36. Guzik TJ, Skiba DS, Touyz RM, Harrison DG. The role of infiltrating immune cells in dysfunctional adipose tissue. Cardiovasc Res. (2017) 113:1009–23. doi: 10.1093/cvr/cvx108

PubMed Abstract | Crossref Full Text | Google Scholar

37. Maga P, Mikolajczyk TP, Partyka L, Siedlinski M, Maga M, Krzanowski M, et al. Involvement of CD8þ T cell subsets in early response to vascular injury in patients with peripheral artery disease in vivo. Clin Immunol. (2018) 194:26–33. doi: 10.1016/j.clim.2018.06.006

PubMed Abstract | Crossref Full Text | Google Scholar

38. Cachat J, Deffert C, Hugues S, Krause KH. Phagocyte NADPH oxidase and specific immunity. Clin Sci. (2015) 128:635–48. doi: 10.1042/CS20140635

PubMed Abstract | Crossref Full Text | Google Scholar

39. Ahmed A, Hollan I, Curran SA, Kitson SM, Riggio MP, Mikkelsen K, et al. Brief report: proatherogenic cytokine microenvironment in the aortic adventitia of patients with rheumatoid arthritis. Arthritis Rheumatol. (2016) 68:1361–6. doi: 10.1002/art.39574

PubMed Abstract | Crossref Full Text | Google Scholar

40. Duncker DJ, Koller A, Merkus D, Canty JM. Regulation of coronary blood flow in health and ischemic heart disease. Prog Cardiovasc Dis. (2015) 57:409–22. doi: 10.1016/j.pcad.2014.12.002

PubMed Abstract | Crossref Full Text | Google Scholar

41. Caiati C, Montaldo C, Zedda N, Bina A, Iliceto S. New noninvasive method for coronary flow reserve assessment: contrast-enhanced transthoracic second harmonic echo Doppler. Circulation. (1999) 99:771–8. doi: 10.1161/01.CIR.99.6.771

PubMed Abstract | Crossref Full Text | Google Scholar

42. Gould KL, Lipscomb K, Hamilton GW. Physiologic basis for assessing critical coronary stenosis. Instantaneous flow response and regional distribution during coronary hyperemia as measures of coronary flow reserve. Am J Cardiol. (1974) 33:87–94. doi: 10.1016/0002-9149(74)90743-7

PubMed Abstract | Crossref Full Text | Google Scholar

43. Gould KL, Lipscomb K. Effects of coronary stenoses on coronary flow reserve and resistance. Am J Cardiol. (1974) 34:48–55. doi: 10.1016/0002-9149(74)90092-7

PubMed Abstract | Crossref Full Text | Google Scholar

44. Cecere A, Kerkhof PLM, Civieri G, Angelini A, Gambino A, Fraiese A, et al. Coronary flow evaluation in heart transplant patients compared to healthy controls documents the superiority of coronary flow velocity reserve companion as diagnostic and prognostic tool. Front Cardiovasc Med. (2022) 9:887370. doi: 10.3389/fcvm.2022.887370

PubMed Abstract | Crossref Full Text | Google Scholar

45. Tona F, Caforio ALP, Montisci R, Gambino A, Angelini A, Ruscazio M, et al. Coronary flow velocity pattern and coronary flow reserve by contrast-enhanced transthoracic echocardiography predict long-term outcome in heart transplantation. Circulation. (2006) 114(1 Suppl):I49–55. doi: 10.1161/CIRCULATIONAHA.105.001321

PubMed Abstract | Crossref Full Text | Google Scholar

46. Guerra E, Bergamaschi L, Tuttolomondo D, Pizzi C, Sartorio D, Gaibazzi N. Contrast stress echocardiography findings in myocardial bridging compared to normal coronary course, with and without coronary artery disease. J Am Soc Echocardiogr. (2023) 36:1092–9. doi: 10.1016/j.echo.2023.06.008

PubMed Abstract | Crossref Full Text | Google Scholar

47. Montisci R, Vacca A, Garau P, Colonna P, Ruscazio M, Passiu G, et al. Detection of early impairment of coronary flow reserve in patients with systemic sclerosis. Ann Rheum Dis. (2003) 62:890–3. doi: 10.1136/ard.62.9.890

PubMed Abstract | Crossref Full Text | Google Scholar

48. Vacca A, Siotto P, Cauli A, Montisci R, Garau P, Ibba V, et al. Absence of epicardial coronary stenosis in patients with systemic sclerosis with severe impairment of coronary flow reserve. Ann Rheum Dis. (2006) 65:274–5. doi: 10.1136/ard.2005.040154

PubMed Abstract | Crossref Full Text | Google Scholar

49. Pries AR, Habazettl H, Ambrosio G, Hansen PR, Kaski JC, Schächinger V, et al. A review of methods for assessment of coronary microvascular disease in both clinical and experimental settings. Cardiovasc Res. (2008) 80:165–74. doi: 10.1093/cvr/cvn136

PubMed Abstract | Crossref Full Text | Google Scholar

50. Allanore Y, Meune C. Primary myocardial involvement in systemic sclerosis: evidence for a microvascular origin. Clin Exp Rheumatol. (2010) 28:S48–53.21050545

PubMed Abstract | Google Scholar

51. Mathew RC, Bourque JM, Salerno M, Kramer CM. Cardiovascular imaging techniques to assess microvascular dysfunction. JACC Cardiovasc Imaging. (2020) 13:1577–90. doi: 10.1016/j.jcmg.2019.09.006

PubMed Abstract | Crossref Full Text | Google Scholar

52. Feher A, Sinusas AJ. Quantitative assessment of coronary microvascular function: dynamic single-photon emission computed tomography, positron emission tomography, ultrasound, computed tomography, and magnetic resonance imaging. Circ Cardiovasc Imaging. (2017) 10:e006427. doi: 10.1161/CIRCIMAGING.117.006427

PubMed Abstract | Crossref Full Text | Google Scholar

53. Fakhri G E, Kardan A, Sitek A, Dorbala S, Abi-Hatem N, Lahoud Y, et al. Reproducibility and accuracy of quantitative myocardial blood flow assessment with (82)Rb PET: comparison with (13)N-ammonia PET. J Nucl Med. (2009) 50:1062–71. doi: 10.2967/jnumed.104.007831

PubMed Abstract | Crossref Full Text | Google Scholar

54. Ayub MT, Kalra D. Coronary microvascular dysfunction and the role of noninvasive cardiovascular imaging. Diagnostics. (2020) 10:679. doi: 10.3390/diagnostics10090679

PubMed Abstract | Crossref Full Text | Google Scholar

55. Hanneman K, Kadoch M, Guo HH, Jamali M, Quon A, Iagaru A, et al. Initial experience with simultaneous 18F-FDG PET/MRI in the evaluation of cardiac sarcoidosis and myocarditis. Clin Nucl Med. (2017) 42:e328–34. doi: 10.1097/RLU.0000000000001669

PubMed Abstract | Crossref Full Text | Google Scholar

56. Lortie M, Beanlands RSB, Yoshinaga K, Klein R, Dasilva JN, DeKemp RA. Quantification of myocardial blood flow with 82Rb dynamic PET imaging. Eur J Nucl Med Mol Imaging. (2007) 34:1765–74. doi: 10.1007/s00259-007-0478-2

PubMed Abstract | Crossref Full Text | Google Scholar

57. Cury RC, Kitt TM, Feaheny K, Blankstein R, Ghoshhajra BB, Budoff MJ, et al. A randomized, multicenter, multivendor study of myocardial perfusion imaging with regadenoson CT perfusion vs single photon emission CT. J Cardiovasc Comput Tomogr. (2015) 9:103–12.e1-2. doi: 10.1016/j.jcct.2015.01.002

PubMed Abstract | Crossref Full Text | Google Scholar

58. Sharma RK, Arbab-Zadeh A, Kishi S, Chen MY, Magalhães TA, George RT, et al. Incremental diagnostic accuracy of computed tomography myocardial perfusion imaging over coronary angiography stratified by pre-test probability of coronary artery disease and severity of coronary artery calcification: the CORE320 study. Int J Cardiol. (2015) 201:570–7. doi: 10.1016/j.ijcard.2015.05.110

PubMed Abstract | Crossref Full Text | Google Scholar

59. Patel AR, Bamberg F, Branch K, Carrascosa P, Chen M, Cury RC, et al. Society of cardiovascular computed tomography expert consensus document on myocardial computed tomography perfusion imaging. J Cardiovasc Comput Tomogr. (2020) 14:87–100. doi: 10.1016/j.jcct.2019.10.003

PubMed Abstract | Crossref Full Text | Google Scholar

60. Groenhoff L, De Zan G, Costantini P, Siani A, Ostillio E, Carriero S, et al. The non-invasive diagnosis of chronic coronary syndrome: a focus on stress computed tomography perfusion and stress cardiac magnetic resonance. J Clin Med. (2023) 12:3793. doi: 10.3390/jcm12113793

PubMed Abstract | Crossref Full Text | Google Scholar

61. Tambe AA, Demany MA, Zimmerman HA, Mascarenhas E. Angina pectoris and slow flow velocity of dye in coronary arteries–a new angiographic finding. Am Heart J. (1972) 84:66–71. doi: 10.1016/0002-8703(72)90307-9

PubMed Abstract | Crossref Full Text | Google Scholar

62. Gibson CM, Cannon CP, Daley WL, Dodge JT, Alexander B, Marble SJ, et al. TIMI Frame count: a quantitative method of assessing coronary artery flow. Circulation. (1996) 93:879–88. doi: 10.1161/01.cir.93.5.879

PubMed Abstract | Crossref Full Text | Google Scholar

63. Pintér T, Faludi R, Magyari B, Vorobcsuk A, Kumánovics G, Minier T, et al. Mechanism of coronary flow reserve reduction in systemic sclerosis: insight from intracoronary pressure wire studies. Rheumatology. (2011) 50:781–8. doi: 10.1093/rheumatology/keq402

PubMed Abstract | Crossref Full Text | Google Scholar

64. Gutierrez E, Flammer AJ, Lerman LO, Elizaga J, Lerman A, Fernandez-Aviles F. Endothelial dysfunction over the course of coronary artery disease. Eur Heart J. (2013) 34:3175–81. doi: 10.1093/eurheartj/eht351

PubMed Abstract | Crossref Full Text | Google Scholar

65. Morton G, Chiribiri A, Ishida M, Hussain ST, Schuster A, Indermuehle A, et al. Quantification of absolute myocardial perfusion in patients with coronary artery disease: comparison between cardiovascular magnetic resonance and positron emission tomography. J Am Coll Cardiol. (2012) 60:1546–55. doi: 10.1016/j.jacc.2012.05.052

PubMed Abstract | Crossref Full Text | Google Scholar

66. Kramer CM, Barkhausen J, Bucciarelli-Ducci C, Flamm SD, Kim RJ, Nagel E. Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. J Cardiovasc Magn Reson. (2020) 22:17. doi: 10.1186/s12968-020-00607-1

PubMed Abstract | Crossref Full Text | Google Scholar

67. Schulz-Menger J, Bluemke DA, Bremerich J, Flamm SD, Fogel MA, Friedrich MG, et al. Standardized image interpretation and post-processing in cardiovascular magnetic resonance— 2020 update: Society for Cardiovascular Magnetic Resonance (SCMR): board of trustees task force on standardized post-processing. J Cardiovasc Magn Reson. (2020) 22:19. doi: 10.1186/s12968-020-00610-6

PubMed Abstract | Crossref Full Text | Google Scholar

68. Zhou W, Sin J, Yan AT, Wang H, Lu J, Li Y, et al. Qualitative and quantitative stress perfusion cardiac magnetic resonance in clinical practice: a comprehensive review. Diagnostics. (2023) 13:524. doi: 10.3390/diagnostics13030524

PubMed Abstract | Crossref Full Text | Google Scholar

69. Taillefer R, Amyot R, Turpin S, Lambert R, Pilon C, Jarry M. Comparison between dipyridamole and adenosine as pharmacologic coronary vasodilators in detection of coronary artery disease with thallium 201 imaging. J Nucl Cardiol. (1996) 3:204–11. doi: 10.1016/s1071-3581(96)90034-3

PubMed Abstract | Crossref Full Text | Google Scholar

70. Manisty C, Ripley DP, Herrey AS, Captur G, Wong TC, Petersen SE, et al. Splenic switch-off: a tool to assess stress adequacy in adenosine perfusion cardiac MR imaging. Radiology. (2015) 276:732–40. doi: 10.1148/radiol.2015142059

PubMed Abstract | Crossref Full Text | Google Scholar

71. Karamitsos TD, Ntusi NA, Francis JM, Holloway CJ, Myerson SG, Neubauer S. Feasibility and safety of high-dose adenosine perfusion cardiovascular magnetic resonance. J Cardiovasc Magn Reson. (2010) 12:66. doi: 10.1186/1532-429X-12-66

PubMed Abstract | Crossref Full Text | Google Scholar

72. Nagel E, SchwiLer J, Arai A, Ferrari V. Dynamic contrast-enhanced perfusion CMR. In: Lombardi M, Plein S, Petersen S, Bucciarelli-Ducci C, Buechel ERV, Basso C, et al., editors. The EACVI Textbook of Cardiovascular Magnetic Resonance. Oxford: Oxford University Press (2018). p. 103–18.

Google Scholar

73. Kim RJ, Wu E, Rafael A, Chen EL, Parker MA, Simonetti O, et al. The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med. (2000) 343:1445–53. doi: 10.1056/NEJM200011163432003

PubMed Abstract | Crossref Full Text | Google Scholar

74. Kloner RA. Stunned and hibernating myocardium: where are we nearly 4 decades later? J Am Heart Assoc. (2020) 9:e015502. doi: 10.1161/JAHA.119.015502

PubMed Abstract | Crossref Full Text | Google Scholar

75. Gargiulo P, Dellegrottaglie S, Bruzzese D, Savarese G, Scala O, Ruggiero D, et al. The prognostic value of normal stress cardiac magnetic resonance in patients with known or suspected coronary artery disease: a meta-analysis. Circ Cardiovasc. Imaging. (2013) 6:574–82. doi: 10.1161/CIRCIMAGING.113.000035

PubMed Abstract | Crossref Full Text | Google Scholar

76. Rahman H, Scannell CM, Demir OM, Ryan M, McConkey H, Ellis H, et al. High-resolution cardiac magnetic resonance imaging techniques for the identification of coronary microvascular dysfunction. JACC Cardiovasc Imaging. (2021) 14:978–86. doi: 10.1016/j.jcmg.2020.10.015

PubMed Abstract | Crossref Full Text | Google Scholar

77. Engblom H, Xue H, Akil S, Carlsson M, Hindorf C, Oddstig J, et al. Fully quantitative cardiovascular magnetic resonance myocardial perfusion ready for clinical use: a comparison between cardiovascular magnetic resonance imaging and positron emission tomography. J Cardiovasc Magn Reson. (2017) 19:78. doi: 10.1186/s12968-017-0388-9

PubMed Abstract | Crossref Full Text | Google Scholar

78. Hsu LY, Jacobs M, Benovoy M, Ta AD, Conn HM, Winkler S, et al. Diagnostic performance of fully automated pixel-wise quantitative myocardial perfusion imaging by cardiovascular magnetic resonance. JACC Cardiovasc Imaging. (2018) 11:697–707. doi: 10.1016/j.jcmg.2018.01.005

PubMed Abstract | Crossref Full Text | Google Scholar

79. Reynolds HR, Bairey Merz CN, Berry C, Samuel R, Saw J, Smilowitz NR, et al. Coronary arterial function and disease in women with no obstructive coronary arteries. Circ Res. (2022) 130:529–51. doi: 10.1161/CIRCRESAHA.121.319892

PubMed Abstract | Crossref Full Text | Google Scholar

80. Del Buono MG, Montone RA, Camilli M, Carbone S, Narula J, Lavie CJ, et al. Coronary microvascular dysfunction across the Spectrum of cardiovascular diseases: JACC state-of-the-art review. J Am Coll Cardiol. (2021) 78:1352–71. doi: 10.1016/j.jacc.2021.07.042

PubMed Abstract | Crossref Full Text | Google Scholar

81. Groepenhoff F, Klaassen RGM, Valstar GB, Bots SH, Onland-Moret NC, Den Ruijter HM, et al. Evaluation of non-invasive imaging parameters in coronary microvascular disease: a systematic review. BMC Med Imaging. (2021) 21:5. doi: 10.1186/s12880-020-00535-7

PubMed Abstract | Crossref Full Text | Google Scholar

82. Wohrle J, Nusser T, Merkle N, Kestler HA, Grebe OC, Marx N, et al. Myocardial perfusion reserve in cardiovascular magnetic resonance: correlation to coronary microvascular dysfunction. J Cardiovasc Magn Reson. (2006) 8:781–7. doi: 10.1080/10976640600737649

PubMed Abstract | Crossref Full Text | Google Scholar

83. Mygind ND, Pena A, Mide Michelsen M, Qayyum AA, Frestad D, Christensen TE, et al. Myocardial first pass perfusion assessed by cardiac magnetic resonance and coronary microvascular dysfunction in women with angina and no obstructive coronary artery disease. Scand J Clin Lab Invest. (2019) 79:238–46. doi: 10.1080/00365513.2019.1587670

PubMed Abstract | Crossref Full Text | Google Scholar

84. Sharrack N, Chiribiri A, Schwitter J, Plein S. How to do quantitative myocardial perfusion cardiovascular magnetic resonance. Eur Heart J Cardiovasc Imaging. (2021) 23:315–8. doi: 10.1093/ehjci/jeab193

PubMed Abstract | Crossref Full Text | Google Scholar

85. Thomson LEJ, Wei J, Agarwal M, Haft-Baradaran A, Shufelt C, Mehta PK, et al. Cardiac magnetic resonance myocardial perfusion reserve index is reduced in women with coronary microvascular dysfunction. Circ Cardiovasc Imaging. (2015) 8(10):e002481. doi: 10.1161/CIRCIMAGING.114.002481

PubMed Abstract | Crossref Full Text | Google Scholar

86. Zhou W, Lee JCY, Leung ST, Lai A, Lee TF, Chiang JB, et al. Long-term prognosis of patients with coronary microvascular disease using stress perfusion cardiac magnetic resonance. JACC Cardiovasc Imaging. (2021) 14:602–11. doi: 10.1016/j.jcmg.2020.09.034

PubMed Abstract | Crossref Full Text | Google Scholar

87. Bakir M, Wei J, Nelson MD, Mehta PK, Haftbaradaran A, Jones E, et al. Cardiac magnetic resonance imaging for myocardial perfusion and diastolic function-reference control values for women. Cardiovasc Diagn Ther. (2016) 6:78–86. doi: 10.3978/j.issn.2223-3652.2015.09.03

PubMed Abstract | Crossref Full Text | Google Scholar

88. Jespersen L, Hvelplund A, Abildstrøm SZ, Pedersen F, Galatius S, Madsen JK, et al. Stable angina pectoris with no obstructive coronary artery disease is associated with increased risks of major adverse cardiovascular events. Eur Heart J. (2012) 33:734–44. doi: 10.1093/eurheartj/ehr331

PubMed Abstract | Crossref Full Text | Google Scholar

89. Gdowski MA, Murthy VL, Doering M, Monroy-Gonzalez AG, Slart R, Brown DL. Association of isolated coronary microvascular dysfunction with mortality and Major adverse cardiac events: a systematic review and meta-analysis of Aggregate data. J Am Heart Assoc. (2020) 9:e014954. doi: 10.1161/JAHA.119.014954

PubMed Abstract | Crossref Full Text | Google Scholar

90. Kenkre TS, Malhotra P, Johnson BD, Handberg EM, Thompson DV, Marroquin OC, et al. Ten-year mortality in the WISE study (Women’s Ischemia Syndrome Evaluation). Circ Cardiovasc Qual Outcomes. (2017) 10:e003863. doi: 10.1161/CIRCOUTCOMES.116.003863

PubMed Abstract | Crossref Full Text | Google Scholar

91. Doyle M, Weinberg N, Pohost GM, Bairey Merz CN, Shaw LJ, Sopko G, et al. Prognostic value of global MR myocardial perfusion imaging in women with suspected myocardial ischemia and no obstructive coronary disease: results from the NHLBI-sponsored WISE (Women's Ischemia Syndrome Evaluation) study. JACC Cardiovasc. Imaging. (2010) 3:1030–6. doi: 10.1016/j.jcmg.2010.07.008

PubMed Abstract | Crossref Full Text | Google Scholar

92. Gatehouse PD, Elkington AG, Ablitt NA, Yang GZ, Pennell DJ, Firmin DN. Accurate assessment of the arterial input function during high-dose myocardial perfusion cardiovascular magnetic resonance. J Magn Reson Imaging. (2004) 20:39–45. doi: 10.1002/jmri.20054

PubMed Abstract | Crossref Full Text | Google Scholar

93. Ishimori ML, Martin R, Berman DS, Goykhman P, Shaw LJ, Shufelt C, et al. Myocardial ischemia in the absence of obstructive coronary artery disease in systemic lupus erythematosus. JACC Cardiovasc Imaging. (2011) 4:27–33. doi: 10.1016/j.jcmg.2010.09.019

PubMed Abstract | Crossref Full Text | Google Scholar

94. Sandhu VK, Wei J, Thomson LEJ, Berman DS, Schapira J, Wallace D, et al. Five-year follow-up of coronary microvascular dysfunction and coronary artery disease in systemic lupus erythematosus: results from a community-based lupus cohort. Arthritis Care Res. (2020) 72:882–7. doi: 10.1002/acr.23920

PubMed Abstract | Crossref Full Text | Google Scholar

95. Mavrogeni S, Bratis K, van Wijk K, Stavropoulos E, Hautemann D, Reiber JHC, et al. Myocardial perfusion-fibrosis pattern in systemic sclerosis assessed by cardiac magnetic resonance. Int J Cardiol. (2012) 159:e56–8. doi: 10.1016/j.ijcard.2011.12.039

PubMed Abstract | Crossref Full Text | Google Scholar

96. Bravo N, Gimenez M, Mejia S, Garcia-Velloso MJ, Coma-Canella I. Prognostic value of myocardial perfusion imaging with adenosine triphosphate. J Nucl Cardiol. (2002) 9:395–401. doi: 10.1067/mnc.2002.124090

PubMed Abstract | Crossref Full Text | Google Scholar

97. Mavrogeni S, Bratis K, Koutsogeorgopoulou L, Karabela G, Savropoulos E, Katsifis G, et al. Myocardial perfusion in peripheral Raynaud’s phenomenon. Evaluation using stress cardiovascular magnetic resonance. Int J Cardiol. (2017) 228:444–8. doi: 10.1016/j.ijcard.2016.11.242

PubMed Abstract | Crossref Full Text | Google Scholar

98. Mavrogeni SI, Markousis-Mavrogenis G, Karapanagiotou O, Toutouzas K, Argyriou P, Velitsista S, et al. Silent myocardial perfusion abnormalities detected by stress cardiovascular magnetic resonance in antiphospholipid syndrome: a case-control study. J Clin Med. (2019) 8:1084. doi: 10.3390/jcm8071084

PubMed Abstract | Crossref Full Text | Google Scholar

99. Hirata K, Kadirvelu A, Kinjo M, Sciacca R, Sugioka K, Otsuka R, et al. Altered coronary vasomotor function in young patients with systemic lupus erythematosus. Arthritis Rheum. (2007) 56:1904–9. doi: 10.1002/art.22702

PubMed Abstract | Crossref Full Text | Google Scholar

100. Yılmaz S, Caliskan M, Kulaksızoglu S, Ciftci O, Caliskan Z, Gullu H, et al. Association between serum total antioxidant status and coronary microvascular functions in patients with SLE. Echocardiography. (2012) 29:1218–23. doi: 10.1111/j.1540-8175.2012.01797.x

PubMed Abstract | Crossref Full Text | Google Scholar

101. Follansbee WP, Curtiss EI, Medsger Jr TA, Steen VD, Uretsky BF, Owens GR, et al. Physiologic abnormalities of cardiac function in progressive systemic sclerosis with diffuse scleroderma. N Engl J Med. (1984) 310:142–8. doi: 10.1056/NEJM198401193100302

PubMed Abstract | Crossref Full Text | Google Scholar

102. Hachulla AL, Launay D, Gaxotte V, de Groote P, Lamblin N, Devos P, et al. Cardiac magnetic resonance imaging in systemic sclerosis: a cross-sectional observational study of 52 patients. Ann Rheum Dis. (2009) 68:1878–84. doi: 10.1136/ard.2008.095836

PubMed Abstract | Crossref Full Text | Google Scholar

103. Mavrogeni SI, Bratis K, Karabela G, Spiliotis G, van Wijk K, Hautemann D, et al. Cardiovascular magnetic resonance imaging clarifies cardiac pathophysiology in early, asymptomatic diffuse systemic sclerosis. Inflamm Allergy Drug Targets. (2015) 14:29–36. doi: 10.2174/1871528114666150916112551

PubMed Abstract | Crossref Full Text | Google Scholar

104. Faccini A, Agricola E, Oppizzi M, Margonato A, Galderisi M, Sabbadini MG, et al. Coronary microvascular dysfunction in asymptomatic patients affected by systemic sclerosis - limited vs. Diffuse form. Circ J. (2015) 79:825–9. doi: 10.1253/circj.CJ-14-1114

PubMed Abstract | Crossref Full Text | Google Scholar

105. Zanatta E, Famoso G, Boscain F, Montisci R, Pigatto E, Polito P, et al. Nailfold avascular score and coronary microvascular dysfunction in systemic sclerosis: a newsworthy association. Autoimmun Rev. (2019) 18:177–83. doi: 10.1016/j.autrev.2018.09.002

PubMed Abstract | Crossref Full Text | Google Scholar

106. Vignaux O, Allanore Y, Meune C, Pascal O, Duboc D, Weber S, et al. Evaluation of the effect of nifedipine upon myocardial perfusion and contractility using cardiac magnetic resonance imaging and tissue Doppler echocardiography in systemic sclerosis. Ann Rheum Dis. (2005) 64:1268–73. doi: 10.1136/ard.2004.031484

PubMed Abstract | Crossref Full Text | Google Scholar

107. Allanore Y, Meune C, Vignaux O, Weber S, Legmann P, Kahan A. Bosentan increases myocardial perfusion and function in systemic sclerosis: a magnetic resonance imaging and tissue- Doppler echography study. J Rheumatol. (2006) 33:2464–9.17080515

PubMed Abstract | Google Scholar

108. Bulkley BH, Ridolfi RL, Salyer WR, Hutchins GM. Myocardial lesions of progressive systemic sclerosis: a cause of cardiac dysfunction. Circulation. (1976) 53:483–90. doi: 10.1161/01.cir.53.3.483

PubMed Abstract | Crossref Full Text | Google Scholar

109. Allen E, Brown G. Raynaud disease: a critical review of minimal requisites for diagnosis. Am J Med Sci. (1932) 183:187–200. doi: 10.1097/00000441-193202000-00004

Crossref Full Text | Google Scholar

110. Fitzgerald O, Hess EV, O'Connor GT, Spencer-Green G. Prospective study of the evolution of Raynaud’s phenomenon. Am J Med. (1988) 84:718–26. doi: 10.1016/0002-9343(88)90109-x

PubMed Abstract | Crossref Full Text | Google Scholar

111. Bowling J, Dowd P. Raynaud’s disease. Lancet. (2003) 361:2078–80. doi: 10.1016/s0140-6736(03)13646-x

PubMed Abstract | Crossref Full Text | Google Scholar

112. Miyakis S, Lockshin MD, Atsumi T, Branch DW, Brey RL, Cervera RHWM, et al. International consensus statement on an update of the classification criteria for definite antiphospholipid syndrome (APS). J Thromb Haemost. (2006) 4:295–306. doi: 10.1111/j.1538-7836.2006.01753.x

PubMed Abstract | Crossref Full Text | Google Scholar

113. Rehan R, Yong A, Ng M, Weaver J, Puranik R. Coronary microvascular dysfunction: a review of recent progress and clinical implications. Front Cardiovasc Med. (2023) 10:1111721. doi: 10.3389/fcvm.2023.1111721

PubMed Abstract | Crossref Full Text | Google Scholar

114. Marano P, Wei J, Bairey Merz CN. Coronary microvascular dysfunction: what clinicians and investigators should know. Curr Atheroscler Rep. (2023) 25:435–46. doi: 10.1007/s11883-023-01116-z

PubMed Abstract | Crossref Full Text | Google Scholar

115. Ong P, Athanasiadis A, Sechtem U. Pharmacotherapy for coronary microvascular dysfunction. Eur Heart J Cardiovasc Pharmacother. (2015) 1:65–71. doi: 10.1093/ehjcvp/pvu020

PubMed Abstract | Crossref Full Text | Google Scholar

116. Cannon RO, Watson RM, Rosing DR, Epstein SE. Efficacy of calcium channel blocker therapy for angina pectoris resulting from small-vessel coronary artery disease and abnormal vasodilator reserve. Am J Cardiol. (1985) 56:242–6. doi: 10.1016/0002-9149(85)90842-2

PubMed Abstract | Crossref Full Text | Google Scholar

117. Olsen RH, Pedersen LR, Jürs A, Snoer M, Haugaard SB, Prescott E. A randomised trial comparing the effect of exercise training and weight loss on microvascular function in coronary artery disease. Int J Cardiol. (2015) 185:229–35. doi: 10.1016/j.ijcard.2015.03.118

PubMed Abstract | Crossref Full Text | Google Scholar

118. Rooks C, Faber T, Votaw J, Veledar E, Goldberg J, Raggi P, et al. Effects of smoking on coronary microcirculatory function: a twin study. Atherosclerosis. (2011) 215:500–6. doi: 10.1016/j.atherosclerosis.2011.01.012

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: coronary microvascular dysfunction, autoimmune rheumatic diseases, coronary flow reserve, cardiac magnetic resonance, coronary flow velocity reserve

Citation: Cecere A, Perazzolo Marra M, Zanatta E, Civieri G, Iliceto S and Tona F (2024) Coronary microvascular dysfunction in autoimmune rheumatic diseases: beyond coronary flow velocity reserve. Front. Cardiovasc. Med. 11:1372703. doi: 10.3389/fcvm.2024.1372703

Received: 18 January 2024; Accepted: 31 July 2024;
Published: 21 August 2024.

Edited by:

Jie Zheng, Washington University in St. Louis, United States

Reviewed by:

Luca Bergamaschi, University of Bologna, Italy
Stefano Figliozzi, St Thomas’ Hospital, United Kingdom

Copyright: © 2024 Cecere, Perazzolo Marra, Zanatta, Civieri, Iliceto and Tona. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Francesco Tona, ZnJhbmNlc2NvLnRvbmFAdW5pcGQuaXQ=

ORCID:
Annagrazia Cecere
orcid.org/0000-0001-5587-1215
Martina Perazzolo Marra
orcid.org/0000-0001-7645-6993
Elisabetta Zanatta
orcid.org/0000-0002-4845-5413
Giovanni Civieri
orcid.org/0000-0002-3076-4787
Sabino Iliceto
orcid.org/0000-0002-3676-8746
Francesco Tona
orcid.org/0000-0003-4828-7875

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.