Increasing evidence has pointed to the important function of T cells in controlling immune homeostasis and pathogenesis after myocardial infarction (MI), although the underlying molecular mechanisms remain elusive. In this study, a broad analysis of immune markers in 283 patients revealed significant CD69 overexpression on Tregs after MI. Our results in mice showed that CD69 expression on Tregs increased survival after left anterior descending (LAD) coronary artery ligation. Cd69–/– mice developed strong IL-17+ γδT cell responses after ischemia that increased myocardial inflammation and, consequently, worsened cardiac function. CD69+ Tregs, by induction of AhR-dependent CD39 ectonucleotidase activity, induced apoptosis and decreased IL-17A production in γδT cells. Adoptive transfer of CD69+ Tregs into Cd69–/– mice after LAD ligation reduced IL-17+ γδT cell recruitment, thus increasing survival. Consistently, clinical data from 2 independent cohorts of patients indicated that increased CD69 expression in peripheral blood cells after acute MI was associated with a lower risk of rehospitalization for heart failure (HF) after 2.5 years of follow-up. This result remained significant after adjustment for age, sex, and traditional cardiac damage biomarkers. Our data highlight CD69 expression on Tregs as a potential prognostic factor and a therapeutic option to prevent HF after MI.
1 January 2022 in Journal of Stroke and Cerebrovascular Diseases
Objective Early prediction of atrial fibrillation (AF) development would improve patient outcomes. We propose a simple and cheap ECG based score to predict AF development. Methods A cohort of 16 316 patients was analysed. ECG measures provided by the computer-assisted ECG software were used to identify patients. A first group included patients in sinus rhythm who showed an ECG with AF at any time later (n=505). A second group included patients with all their ECGs in sinus rhythm (n=15 811). By using a training set (75% of the cohort) the initial sinus rhythm ECGs of both groups were analysed and a predictive risk score based on a multivariate logistic model was constructed. Results A multivariate regression model was constructed with 32 variables showing a predictive value characterised by an area under the curve (AUC) of 0.776 (95% CI: 0.738 to 0.814). The subsequent risk score included the following variables: age, duration of P-wave in aVF, V4 and V5; duration of T-wave in V3, mean QT interval adjusted for heart rate, transverse P-wave clockwise rotation, transverse P-wave terminal angle and transverse QRS complex terminal vector magnitude. Risk score values ranged from 0 (no risk) to 5 (high risk). The predictive validity of the score reached an AUC of 0.764 (95% CI: 0.722 to 0.806) with a global specificity of 61% and a sensitivity of 55%. Conclusions The automatic assessment of ECG biomarkers from ECGs in sinus rhythm is able to predict the risk for AF providing a low-cost screening strategy for early detection of this pathology.
Introduction: Focused cardiac ultrasound (FoCUS) has a high diagnostic yield and a rapid theoretical learning curve. FoCUS can be applied in stroke assessments performed by stroke neurologists when a cardioembolic stroke is suspected. Patients and methods: An international multicenter, prospective validation study was conducted to assess neurologists’ ability to perform FoCUS. The FoCUS examination was defined as a simplified 2D transthoracic echocardiography. Neurologists and cardiologists performed the FoCUS independently and blinded. A twenty-question test evaluated neurologists’ ability to recognize sources of cardioembolic stroke from recorded FoCUS studies. Results: A total of 432 paired studies involving 216 patients were conducted across 11 centers. No significant differences were found between neurologists and cardiologists in detecting: Left Ventricle (LV) dysfunction (7.4% vs 7.9%, p = 0.834), LV dilation (2.8% vs 2.3%, p = 0.766), VC collapsibility (7.2% vs 9.1%, p = 0.501), Right Ventricle dysfunction (0.9% vs 0.9%, p = 0.999), and pericardial effusion (0.5% vs 1.9%, p = 0.212). Cohen Kappa showed substantial agreement for LV dysfunction (0.640), moderate for LV dilation (0.589), and fair for VC collapsibility (0.226). Neurologists demonstrated 93.82% sensitivity and 92.92% specificity for detecting embolic sources. Success rate for LV akinesia was 88% (16/18), LV dysfunction 83% (15/18), complex aortic plaque 88% (16/18), and mitral stenosis 55% (10/18). Discussion and conclusion: Properly trained neurologists can reliably perform FoCUS, particularly for assessing LV function and dilation, with better results in patients with favorable echocardiographic windows. While VC assessment requires further training, neurologists demonstrated high accuracy in identifying cardioembolic sources (over 90% of cases correctly identified). This study supports implementing standardized FoCUS training for neurologists through collaboration with cardiology specialists to enhance stroke diagnostics and management.
30 September 2024 in Catheterization and Cardiovascular Interventions