L. Delfino

Cardiovascular involvement in systemic autoimmune diseases

Autoimmune diseases, including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), primary antiphospholipid syndrome (APS), systemic sclerosis and systemic vasculitis, affect a large number of people in whom one of the leading causes of morbidity and mortality is cardiovascular disease. Cardiovascular disease is associated with the development of accelerated atherosclerosis. It seems to occur at a younger age than in the general population, is often asymptomatic and, in addition to traditional risk factors, also involves specific risk factors as chronic inflammation, the duration and activity of the autoimmune disease, and immunosuppressive therapy. The early phases of cardiovascular involvement in patients with autoimmune diseases may be clinically silent, with only a microcirculation disorder present. There are various means of detecting morphological cardiac damage: coronary angiography remains the gold standard for diagnosing coronary stenosis, but new, non invasive and more reliable methods have been introduced into clinical practice in order to detect subclinical microcirculation abnormalities.

Preclinical impairment of coronary flow reserve in patients with rheumatoid arthritis

Abstract:  Cardiovascular involvement in rheumatoid arthritis (RA) is common, although the true prevalence of cardiac abnormalities is difficult to measure, as much disease remains clinically silent. The pathogenesis of cardiac lesions in RA is related to the primary disorder of microcirculation with diffuse arteriolar and capillary lesions. Previous studies demonstrated that coronary flow reserve (CFR) is impaired in patients with connective tissue diseases (CTD). This review focuses on transthoracic Doppler echocardiography as a noninvasive method used to assess CFR in RA patients. CFR is early reduced in RA patients without clinical evidence of heart disease as a result of impaired microcirculation. CFR seems a useful technique able to follow‐up and to assess effects of new drugs on RA patients.

Semi-automated analysis of coronary flow doppler images: validation with manual tracings

Coronary flow velocity reserve (CFVR) is conventionally obtained by manual tracings of Doppler profiles, as ratio of stress vs baseline diastolic peak velocity. When <1.9, this parameter evidences reduced coronary flow and possible microcirculatory disease. Our goals were: 1) to develop a novel technique for semi-automated detection of Doppler flow velocity profile, allowing the automated computation of CFVR and other parameters; 2) to validate this technique in comparison with conventional measurements obtained by manual tracing; 3) to test for differences between normal (N) subjects and patients with rheumatoid arthritis (RA). Linear correlation and Bland-Altman analyses showed that the proposed method was highly accurate and repeatable compared to the manual measurements. Comparison between N and RA groups evidenced significant differences in some of the automated parameters

Nearly automated analysis of coronary Doppler flow velocity from transthoracic ultrasound images: validation with manual tracings

Coronary flow velocity reserve is obtained by manual tracings of transthoracic coronary Doppler flow velocity profiles as the ratio of stress versus baseline diastolic peak velocities. This approach introduces subjectivity in the measurements and limits the information which could be exploited from the Doppler velocity profile. Accordingly, our goals were to develop a technique for nearly automated detection of Doppler coronary flow velocity profile, and automatically compute both conventional and additional amplitude, derivative and temporal parameters, and validate it with manual tracings. A total of 100 patients (17 normals, 15 patients with severe coronary stenosis, 41 with connective tissue disease and 27 with diabetes mellitus) were studied. Linear correlation and Bland–Altman analyses showed that the proposed method was highly accurate and repeatable compared to the manual measurements. Comparison between groups evidenced significant differences in some of the automated parameters, thus representing potentially additional indices useful for the noninvasive diagnosis of microcirculatory or coronary artery disease.

Quantification of coronary flow velocity reserve by means of semiautomated analysis of coronary flow Doppler images

Coronary flow reserve (CFVR) is conventionally obtained by manual tracings of Doppler profiles, as ratio of control vs stress diastolic peak velocity. This parameter could help in discriminating between normal (N) and microcirculatory pathologic (P) subjects, even the clinical meaning of 1.9<CFVR/spl les/2.5 its still not clear. Our goal was to develop a technique for automated tracings of Doppler flow velocity profile to reduce subjectivity and to allow the extraction of other parameters, which could be of clinical interest. This technique was applied to 15 N (CFVR>3) and 15 P (CFVR<1.8) subjects, to assess whose of the new parameters could be able to discriminate between these groups. Results indicated that many of the new parameters were able to evidence significant differences between N and P, thus representing new clinical indices useful for the diagnosis.