Aims To evaluate the impact of the COVID-19 pandemic on patient admissions to Italian cardiac care units (CCUs). Methods and Results We conducted a multicentre, observational, nationwide survey to collect data on admissions for acute myocardial infarction (AMI) at Italian CCUs throughout a 1 week period during the COVID-19 outbreak, compared with the equivalent week in 2019. We observed a 48.4% reduction in admissions for AMI compared with the equivalent week in 2019 (P < 0.001). The reduction was significant for both ST-segment elevation myocardial infarction [STEMI; 26.5%, 95% confidence interval (CI) 21.7–32.3; P = 0.009] and non-STEMI (NSTEMI; 65.1%, 95% CI 60.3–70.3; P < 0.001). Among STEMIs, the reduction was higher for women (41.2%; P = 0.011) than men (17.8%; P = 0.191). A similar reduction in AMI admissions was registered in North Italy (52.1%), Central Italy (59.3%), and South Italy (52.1%). The STEMI case fatality rate during the pandemic was substantially increased compared with 2019 [risk ratio (RR) = 3.3, 95% CI 1.7–6.6; P < 0.001]. A parallel increase in complications was also registered (RR = 1.8, 95% CI 1.1–2.8; P = 0.009). Conclusion Admissions for AMI were significantly reduced during the COVID-19 pandemic across Italy, with a parallel increase in fatality and complication rates. This constitutes a serious social issue, demanding attention by the scientific and healthcare communities and public regulatory agencies.
Key Points Question Can a smartwatch record multiple-lead electrocardiograms (ECGs) and detect changes in the ST segment? Findings In this case series including 100 participants, a smartwatch was able to record multichannel ECGs (leads I, II, III, V1, V2, V3, V4, V5, and V6) in agreement with standard ECGs. In addition, the amplitude of ST-segment changes noted with the smartwatch was comparable to those of standard ECGs. Meaning The findings of this study suggest that use of ECGs recorded on smartwatches might be useful to obtain an earlier diagnosis of acute coronary syndromes; these data need to be further examined in patients with suspected myocardial infarction in whom false-positive and false-negative findings could be better characterized.
Aims The Italian Society of Interventional Cardiology (GIse) registry Of Transcatheter treatment of mitral valve regurgitaTiOn (GIOTTO) was conceived in order to assess the safety and efficacy of MitraClip therapy in Italy. The aim of this study was to assess procedural and mid‐term outcomes, and clinical and echocardiographic predictors of mid‐term mortality after MitraClip therapy, stratifying the results according to the diagnosis of functional and degenerative mitral regurgitation (FMR vs. DMR). Methods and results Between January 2016 and March 2020, 1659 patients were prospectively included in the GIOTTO registry (FMR 59.4% vs. DMR 40.6%). Acute Mitral Valve Academic Research Consortium (MVARC) technical success was achieved in 97.2% of patients, without differences between FMR and DMR and with sustained results at 30 days. In the study population, all‐cause mortality was 4.0%, 17.5% and 34.6% at 30 days, 1 year and 2 years, respectively. Cardiovascular death was the most frequent cause of mortality. Overall hospitalization rates were 6.3%, 23.4% and 31.7% at 30 days, 1 year and 2 years, respectively. The most frequent cause of hospitalization was heart failure, particularly in the first 30 days. FMR and MVARC structural and functional failure were strongly associated with 1‐year mortality. Residual mitral regurgitation 1+ (rMR) was independently related to a reduced risk of 1‐year mortality (hazard ratio 0.62; P = 0.005). Coherently, at 2‐year follow up, FMR was associated with worse outcomes than DMR, and Kaplan–Meier all‐cause mortality was related to rMR. Conclusions Functional mitral regurgitation aetiology affects 1‐year mortality after MitraClip implantation, and differences in mortality and hospitalization rates between FMR and DMR can be observed within 2 years. Optimal rMR 1+ was correlated to a more favourable mid‐term outcome, particularly in FMR.
Background. Circulating microRNAs are appealing biomarkers to monitor several processes underlying cardiovascular diseases. Platelets are a major source for circulating microRNAs. Interestingly, the levels of specific microRNAs were reported to correlate with the level of platelet activation. The aim of the present study was to test whether the treatment with the novel antiplatelet agent, ticagrelor, is associated with modulation in the levels of key platelet-derived microRNAs. Methods and Results. Patients were randomly selected from those participating in the SHIFT-OVER study, in which we had previously evaluated the effect of the therapeutic switch from clopidogrel to ticagrelor on platelet aggregation. Circulating levels of selected microRNAs were measured before and after the therapeutic switch from a dual antiplatelet therapy including acetylsalicylic acid (ASA) and clopidogrel to the more potent ticagrelor. Interestingly, the circulating levels of miR-126 (p = 0.030), miR-223 (p = 0.044), and miR-150 (p = 0.048) were significantly reduced, while the levels of miR-96 were increased (p = 0.038). No substantial differences were observed for the remaining microRNAs. Conclusions. Switching from a dual antiplatelet treatment with clopidogrel to ticagrelor is associated with significant modulation in the circulating levels of specific microRNAs. If confirmed in larger, independent cohorts, our results pave the way for the use of circulating microRNAs as biomarkers of platelets activity in response to specific pharmacological treatments.
Up to 15% of coronavirus disease 2019 (COVID-19) patients experience severe clinical presentation, resulting in acute respiratory distress (ARDS) and finally death. N-terminal natriuretic peptide (NT-proBNP) is associated with a worse prognosis in patients with ARDS. However, whether or not this peptide can help discriminate high-risk COVID-19 patients remains unclear. Therefore, in this meta-analysis, we summarized the available evidence on NT-proBNP in patients admitted for COVID-19. Pooled mean, mean differences (MD) and standardized mean difference (SMD) were the summary metrics. Thirteen studies were finally selected for this analysis with a total of 2248 patients, of which 507 had a severe condition (n = 240) or died (n = 267). Pooled mean NT-proBNP levels on admission were 790.57 pg/mL (95% confidence intervals (CIs): 532.50 to 1048.64) in patients that experienced a severe clinical condition or died, and 160.56 pg/mL (95% CI: 118.15 to 202.96) in non-severe patients (SMD: 1.05; 95% (CI): 0.83 to 1.28; p < 0.001; I2 74%; and MD was 645.84 pg/mL (95% CI: 389.50–902.18). Results were consistent in studies categorizing patients as non-survivors versus survivors (SMD: 1.17; 95% CI 0.95 to 1.40; p < 0. 001; I2: 51%), and in those classifying populations in severe versus non-severe clinical condition (SMD: 0.94 95% CI 0.56 to 1.32; p < 0.001; I2: 81%; pinteraction = 0.30). In conclusion, our results suggest that assessing NT-proBNP may support physicians in discriminating high-risk COVID-19 patients.
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