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Spontaneous coronary artery dissection (SCAD) is a spontaneous separation of the coronary artery wall whose etiology appears to be poorly understood. SCAD is a rare cause of acute coronary syndromes, and it is a life-threatening condition.We report the case of a young woman who developed SCAD during a thyroid storm (TS).To the best of our knowledge, this is the first reported case of SCAD during a TS, and it suggests a possible association between high levels of circulating thyroid hormones and SCAD susceptibility.Early identification of SCAD predisposing factors is important to identify high-risk patients. In patients presenting to the emergency department because of chest pain with a history of dysthyroidism, early determination of thyroid hormones and troponin could prevent certain forms of sudden cardiac death.

This study assesses the safety and efficacy of thin-strut stents in non-left main (non-LM) bifurcation coronary lesions.Thinner struts of recent drug-eluting stent (DES) devices are associated with improved outcomes, but data about their performance in challenging scenarios are scant.RAIN was a retrospective multicenter registry enrolling patients with coronary bifurcation lesions or left main (LM) disease treated with thin-strut DESs. Target-lesion revascularization (TLR) was the primary endpoint, while major adverse clinical event (MACE) rate, a composite of all-cause death, myocardial infarction (MI), target-vessel revascularization (TVR), TLR, and stent thrombosis (ST), and its single components were the secondary endpoints. Multivariable analysis was performed to identify predictors of TLR. Outcome incidences according to stenting strategy (provisional vs 2-stent technique), use of final kissing balloon (FKB), and intravascular ultrasound/optical coherence tomography optimization were further investigated in prespecified subanalyses.A total of 1803 patients (59% acute coronary syndrome, 41% stable coronary artery disease) with non-LM bifurcations were enrolled. After a median follow-up of 12 months, TLR incidence was 2.5% (2.2% for provisional stenting and 3.5% for 2-stent technique). MACE rate was 9.4% (all-cause death, 4.1%; MI, 3.2%; TVR, 3.7%; definite ST, 1.1%). After multivariable adjustment, postdilation (hazard ratio [HR], 0.32; 95% confidence interval [CI], 0.15-0.71; P.01) and provisional stenting (HR, 0.62; 95% CI, 0.55-0.89; P=.03) were associated with lower TLR rates. FKB was associated with a lower incidence of TLR in the 2-stent subgroup (P=.03). Intracoronary imaging had no significant impact on the primary endpoint.Thin-strut DES options represent an effective choice in bifurcation lesions. Postdilation and provisional stenting are associated with a reduced risk of TLR. FKB should be recommended in 2-stent techniques.

CoronaVIrus Disease-19 (COVID-19) had a huge impact on human health and economy. However, to this date, the effects of the pandemic on the training of young cardiologists are only partially known. To assess the consequences of the pandemic on the education of the cardiologists in training, we performed a 23-item national survey that has been delivered to 1443 Italian cardiologists in training, registered in the database of the Italian Society of Cardiology (SIC). Six hundred and thirty-three cardiologists in training participated in the survey. Ninety-five percent of the respondents affirmed that the training programme has been somewhat stopped or greatly jeopardized by the pandemic. For 61% of the fellows in training (FITs), the pandemic had a negative effect on their education. Moreover, 59% of the respondents believe that they would not be able to fill the gap gained during that period over the rest of their training. A negative impact on the psycho-physical well being has been reported by 86% of the FITs. The COVID-19 pandemic had an unparalleled impact on the education, formation and mental state of the cardiologists in training. Regulatory agencies, universities and politicians should make a great effort in the organization and reorganization of the teaching programs of the cardiologists of tomorrow.

Chronic obstructive pulmonary disease (COPD) is often associated with cardiovascular artery disease (CAD), representing a potential and independent risk factor for cardiovascular morbidity. Therefore, the aim of this study was to identify an algorithm for predicting the risk of CAD in COPD patients.We analyzed data of patients afferent to the Cardiology ward and the Respiratory Diseases outpatient clinic of Tor Vergata University (2010-2012, 1596 records). The study population was clustered as training population (COPD patients undergoing coronary arteriography), control population (non-COPD patients undergoing coronary arteriography), test population (COPD patients whose records reported information on the coronary status). The predicting model was built via causal relationship between variables, stepwise binary logistic regression and Hosmer-Lemeshow analysis. The algorithm was validated via split-sample validation method and receiver operating characteristics (ROC) curve analysis. The diagnostic accuracy was assessed.In training population the variables gender (men/women OR: 1.7, 95%CI: 1.237-2.5, P 0.05), dyslipidemia (OR: 1.8, 95%CI: 1.2-2.5, P 0.01) and smoking habit (OR: 1.5, 95%CI: 1.2-1.9, P 0.001) were significantly associated with CAD in COPD patients, whereas in control population also age and diabetes were correlated. The stepwise binary logistic regressions permitted to build a well fitting predictive model for training population but not for control population. The predictive algorithm shown a diagnostic accuracy of 81.5% (95%CI: 77.78-84.71) and an AUC of 0.81 (95%CI: 0.78-0.85) for the validation set.The proposed algorithm is effective for predicting the risk of CAD in COPD patients via a rapid, inexpensive and non-invasive approach.