Background: Despite being associated with worse prognosis in patients with COVID-19, systematic determination of myocardial injury is not recommended. The aim of the study was to study the effect of myocardial injury assessment on risk stratification of COVID-19 patients. Methods: Seven hundred seven consecutive adult patients admitted to a large tertiary hospital with confirmed COVID-19 were included. Demographic data, comorbidities, laboratory results and clinical outcomes were recorded. Charlson comorbidity index (CCI) was calculated in order to quantify the degree of comorbidities. Independent association of cardiac troponin I (cTnI) increase with outcomes was evaluated by multivariate regression analyses and area under curve. In addition, propensity-score matching was performed to assemble a cohort of patients with similar baseline characteristics.Results: In the matched cohort (mean age 66.76 ± 15.7 years, 37.3% females), cTnI increase above the upper limit was present in 20.9% of the population and was associated with worse clinical outcomes, including all-cause mortality within 30 days (45.1% vs. 23.2%; p = 0.005). The addition of cTnI to a multivariate prediction model showed a significant improvement in the area under the time-dependent receiver operating characteristic curve (0.775 vs. 0.756, DC-statistic = 0.019; 95% confidence interval 0.001-0.037). Use of renin-angiotensin-aldosterone system inhibitors was not associated with mortality after adjusting by baseline risk factors. Conclusions: Myocardial injury is independently associated with adverse outcomes irrespective of baseline comorbidities and its addition to multivariate regression models significantly improves their performance in predicting mortality. The determination of myocardial injury biomarkers on hospital admission and its combination with CCI can classify patients in three risk groups (high, intermediate and low) with a clearly distinct 30-day mortality.

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To date, this is the largest echocardiography-based study to analyse the prevalence and aetiology distribution of MR in Europe. The burden of secondary MR was higher than previously described, representing 30% of patients with significant MR. In our environment, degenerative disease is the most common aetiology of primary MR (60%), whereas ischaemic is the most common aetiology of secondary MR (51%). Up to 70% of patients with severe primary MR may have a Class I indication for surgery. However, the optimal therapeutic approach for secondary MR remains uncertain.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a new threat to healthcare systems. In this setting, heart failure units have faced an enormous challenge: taking care of their patients while at the same time avoiding patients' visits to the hospital. Objective: The aim of this study was to evaluate the results of a follow-up protocol established in an advanced heart failure unit at a single center in Spain during the coronavirus disease 2019 (COVID-19) pandemic. Methods: During March and April 2020, a protocolized approach was implemented in our unit to reduce the number of outpatient visits and hospital admissions throughout the maximum COVID-19 spread period. We compared emergency room (ER) visits, hospital admissions, and mortality with those of January and February 2020. Results: When compared to the preceding months, during the COVID pandemic there was a 56.5% reduction in the ER visits and a 46.9% reduction in hospital admissions, without an increase in mortality (9 patients died in both time periods). A total of 18 patients required a visit to the outpatient clinic for decompensation of heart failure or others. Conclusion: Our study suggests that implementing an active-surveillance protocol in acutely decompensated heart failure units during the SARS-CoV-2 pandemic can reduce hospital admissions, ER visits and, potentially, viral transmission, in a cohort of especially vulnerable patients.