Effects of the COVID-19 pandemic on the formation of fellows in training in cardiology.

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.

Differences in coagulopathy indices in patients with severe versus non-severe COVID-19: a meta-analysis of 35 studies and 6427 patients.

Coronavirus disease 2019 (COVID-19) is a highly contagious disease that appeared in China in December 2019 and spread rapidly around the world. Several patients with severe COVID-19 infection can develop a coagulopathy according to the ISTH criteria for disseminated intravascular coagulopathy (DIC) with fulminant activation of coagulation, resulting in widespread microvascular thrombosis and consumption of coagulation factors. We conducted a meta-analysis in order to explore differences in coagulopathy indices in patients with severe and non-severe COVID-19. An electronic search was performed within PubMed, Google Scholar and Scopus electronic databases between December 2019 (first confirmed Covid-19 case) up to April 6th, 2020. The primary endpoint was the difference of D-dimer values between Non-Severe vs Severe disease and Survivors vs Non-Survivors. Furthermore, results on additional coagulation parameters (platelet count, prothrombin time, activated partial thromboplastin time) were also analyzed. The primary analysis showed that mean d-dimer was significantly lower in COVID-19 patients with non-severe disease than in those with severe (SMD - 2.15 [- 2.73 to - 1.56], I2 98%, P < 0.0001). Similarly, we found a lower mean d-dimer in Survivors compared to Non-Survivors (SMD - 2.91 [- 3.87 to - 1.96], I2 98%, P < 0.0001). Additional analysis of platelet count showed higher levels of mean PLT in Non-Severe patients than those observed in the Severe group (SMD 0.77 [0.32 to 1.22], I2 96%, P < 0.001). Of note, a similar result was observed even when Survivors were compared to Non-Survivors (SMD 1.84 [1.16 to 2.53], I2 97%, P < 0.0001). Interestingly, shorter mean PT was found in both Non-Severe (SMD - 1.34 [- 2.06 to - 0.62], I2 98%, P < 0.0002) and Survivors groups (SMD - 1.61 [- 2.69 to - 0.54], I2 98%, P < 0.003) compared to Severe and Non-Survivor patients. In conclusion, the results of the present meta-analysis demonstrate that Severe COVID-19 infection is associated with higher D-dimer values, lower platelet count and prolonged PT. This data suggests a possible role of disseminated intravascular coagulation in the pathogenesis of COVID-19 disease complications.

B-Type Natriuretic Peptide as Biomarker of COVID-19 Disease Severity-A Meta-Analysis.

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.

B-Type Natriuretic Peptide as Biomarker of COVID-19 Disease Severity—A Meta-Analysis

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.