Post-traumatic stress disorder, depression and anxiety symptoms in COVID-19 outpatients with different levels of respiratory and ventilatory support in the acute phase undergoing three months follow up.

BACKGROUND: The well-known COVID-19 pandemic totally transformed people's lives, paving the way to various psychopathological symptoms. In particular, patients may experience a short- and long-term decreasing in their wellbeing. In this vein, the aim of this paper is to assess the COVID-19 patients' psychopathological profile (Post Traumatic Stress Disorder, distress, anxiety and depression symptoms), detecting possible differences linked to the ventilatory treatments. METHODS: Outpatients who recovered from COVID-19 were asked to provide socio-demographic and clinical information, and to complete a brief psychological screening evaluation (Impact of Event Scale-Revised - IES-R, Depression Anxiety Stress Scale - DASS-21). RESULTS: Overall, after informed consent, 163 Italian patients took part in this research. Of them, 31,9% did not undergo any ventilatory therapy, 27,6% undertook oxygen therapy; 28,2% underwent noninvasive mechanical ventilation and 12.3% received invasive mechanical ventilation. Although no statistically significant differences were revealed among patients stratified by spontaneous breathing or ventilatory therapies, they reported statistically significant more depression (4.5+5.2 vs 3.5+3.2; p=.017) and anxiety (4.3+4.5 vs 2.4+2.6; p<.00001) symptoms than normative groups. Moreover, patients experiencing COVID-19 disease as a trauma, complained statistically significant higher levels of depression, anxiety and stress symptoms than who did not describe a clinically relevant traumatic experience (p<0.001). CONCLUSIONS: Thus, this study suggests to healthcare professionals to consider COVID-19 experience as a potential real trauma for patients and underlines the necessity to define patients' psychopathological profile in order to propose tailored and effective preventive and supportive psychological interventions.

Symptoms-to-emergency-call timing delay in acute coronary syndrome before and during COVID-19: independent predictors and their impact on mortality.

BACKGROUND: The COVID-19 pandemic severely impacted global health. The aim of this study was to compare predictors of symptoms-to-emergency-call timing delay in Acute Coronary Syndrome (ACS) and their impact on mortality before and during the COVID-19 outbreak. METHODS: We collected sociodemographic, clinical data, procedural features, pre-admission and intra-hospital outcomes of consecutive patients admitted for ACS in seventeen Italian centers from March to April 2018, 2019, and 2020. RESULTS: In 2020, a 32.92% reduction in ACS admissions was observed compared to 2018 and 2019. Unstable angina, typical and atypical symptoms, and intermittent angina were identified as significant predictors of symptoms-to-emergency-call timing delay before and during the COVID-19 pandemic (p<0.005 for all the items). Differently from 2018-2019, during the pandemic, hypertension and dyspnea (p=0.002 versus [vs] p=0.490 and p=0.001 vs p=0.761 for 2018-2019 and 2020, respectively) did not result as predictors of delay in symptoms-to-emergency-call timing. Among these predictors, only the atypical symptoms (HR 3.36; 95% CI 1.172 - 9.667, p=0.024) in 2020 and the dyspnea (HR 2.64; 95% CI 1.345 - 5.190, p=0.005) in 2018-2019 resulted significantly associated with higher mortality. Finally, the family attendance at the onset of the symptoms resulted in a reduction in symptoms-to-emergency-call timing (in 2020 p<0.001; CI -1710.73; -493.19) and in a trend of reduced mortality (HR 0.31; 95% CI 0.089 - 1.079, p=0.066) in 2020. CONCLUSIONS: During the COVID-19 outbreak, atypical symptoms and family attendance at ACS onset were identified, respectively, as adverse and favorable predictors of symptoms-to-emergencycall timing delay and mortality.

Myocardial Infarction With Non-obstructive Coronary Arteries: Risk Factors and Associated Comorbidities.

Myocardial infarction with non-obstructive coronary arteries (MINOCA), despite a lower burden of coronary atherosclerosis, has a non-negligible prognostic impact. The label of MINOCA includes an array of different aetiologies and pathologic conditions, thus the identification of the underlying disease is crucial to patient management. Myocardial infarction with obstructive coronary artery disease and MINOCA share only some risk factors and comorbid conditions. While traditional cardiovascular risk factors have a lower prevalence in MINOCA patients, atypical ones-e.g., anxiety, depression, and autoimmune diseases-are much more frequent in this population. Other conditions-e.g., pregnancy, cancer, and anti-cancer therapy-can predispose to or even induce MINOCA through various mechanisms. The evidence of such risk factors for MINOCA is still scarce and contradicting, as no randomised controlled trials exist in this field. In our work, we performed a review of registries, clinical studies, and case reports of MINOCA, in order to summarise the available data and analyse its possibile pathogenic mechanisms.

Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study.

BACKGROUND: Several risk factors have been identified to predict worse outcomes in patients affected by SARS-CoV-2 infection. Machine learning algorithms represent a novel approach to identifying a prediction model with a good discriminatory capacity to be easily used in clinical practice. The aim of this study was to obtain a risk score for in-hospital mortality in patients with coronavirus disease infection (COVID-19) based on a limited number of features collected at hospital admission. METHODS AND RESULTS: We studied an Italian cohort of consecutive adult Caucasian patients with laboratory-confirmed COVID-19 who were hospitalized in 13 cardiology units during Spring 2020. The Lasso procedure was used to select the most relevant covariates. The dataset was randomly divided into a training set containing 80% of the data, used for estimating the model, and a test set with the remaining 20%. A Random Forest modeled in-hospital mortality with the selected set of covariates: its accuracy was measured by means of the ROC curve, obtaining AUC, sensitivity, specificity and related 95% confidence interval (CI). This model was then compared with the one obtained by the Gradient Boosting Machine (GBM) and with logistic regression. Finally, to understand if each model has the same performance in the training and test set, the two AUCs were compared using the DeLong's test. Among 701 patients enrolled (mean age 67.2 ±â€Š13.2 years, 69.5% male individuals), 165 (23.5%) died during a median hospitalization of 15 (IQR, 9-24) days. Variables selected by the Lasso procedure were: age, oxygen saturation, PaO2/FiO2, creatinine clearance and elevated troponin. Compared with those who survived, deceased patients were older, had a lower blood oxygenation, lower creatinine clearance levels and higher prevalence of elevated troponin (all P < 0.001). The best performance out of the samples was provided by Random Forest with an AUC of 0.78 (95% CI: 0.68-0.88) and a sensitivity of 0.88 (95% CI: 0.58-1.00). Moreover, Random Forest was the unique model that provided similar performance in sample and out of sample (DeLong test P = 0.78). CONCLUSION: In a large COVID-19 population, we showed that a customizable machine learning-based score derived from clinical variables is feasible and effective for the prediction of in-hospital mortality.

The Incidence and Impact of In-Hospital Bleeding in Patients with Acute Coronary Syndrome during the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic increased the complexity of the clinical management and pharmacological treatment of patients presenting with an Acute Coronary Syndrome (ACS). AIM: to explore the incidence and prognostic impact of in-hospital bleeding in patients presenting with ACS before and during the COVID-19 pandemic. METHODS: We evaluated in-hospital Thrombolysis In Myocardial Infarction (TIMI) major and minor bleeding among 2851 patients with ACS from 17 Italian centers during the first wave of the COVID-19 pandemic (i.e., March-April 2020) and in the same period in the previous two years. RESULTS: The incidence of in-hospital TIMI major and minor bleeding was similar before and during the COVID-19 pandemic. TIMI major or minor bleeding was associated with a significant threefold increase in all-cause mortality, with a similar prognostic impact before and during the COVID-19 pandemic. CONCLUSIONS: the incidence and clinical impact of in-hospital bleeding in ACS patients was similar before and during the COVID-19 pandemic. We confirmed a significant and sizable negative prognostic impact of in-hospital bleeding in ACS patients.

Sex-related differences in patients with coronavirus disease 2019: results of the Cardio-COVID-Italy multicentre study.

INTRODUCTION: The role of sex compared to comorbidities and other prognostic variables in patients with coronavirus disease (COVID-19) is unclear. METHODS: This is a retrospective observational study on patients with COVID-19 infection, referred to 13 cardiology units. The primary objective was to assess the difference in risk of death between the sexes. The secondary objective was to explore sex-based heterogeneity in the association between demographic, clinical and laboratory variables, and patients' risk of death. RESULTS: Seven hundred and one patients were included: 214 (30.5%) women and 487 (69.5%) men. During a median follow-up of 15 days, deaths occurred in 39 (18.2%) women and 126 (25.9%) men. In a multivariable Cox regression model, men had a nonsignificantly higher risk of death vs. women (P = 0.07).The risk of death was more than double in men with a low lymphocytes count as compared with men with a high lymphocytes count [overall survival hazard ratio (OS-HR) 2.56, 95% confidence interval (CI) 1.72-3.81]. In contrast, lymphocytes count was not related to death in women (P = 0.03).Platelets count was associated with better outcome in men (OS-HR for increase of 50 × 103 units: 0.88 95% CI 0.78-1.00) but not in women. The strength of association between higher PaO2/FiO2 ratio and lower risk of death was larger in women (OS-HR for increase of 50 mmHg/%: 0.72, 95% CI 0.59-0.89) vs. men (OS-HR: 0.88, 95% CI 0.80-0.98; P = 0.05). CONCLUSIONS: Patients' sex is a relevant variable that should be taken into account when evaluating risk of death from COVID-19. There is a sex-based heterogeneity in the association between baseline variables and patients' risk of death.

Long-Term Prognostic Impact of Right Ventricular Dysfunction in Patients with COVID-19.

The characteristics and clinical course of hospitalized patients with coronavirus disease 2019 (COVID-19) have been widely described, while long-term data are still poor. The aim of this study was to evaluate the long-term clinical outcome and its association with right ventricular (RV) dysfunction in hospitalized patients with COVID-19. This was a prospective multicenter study of consecutive COVID-19 patients hospitalized at seven Italian Hospitals from 28 February to 20 April 2020. The study population was divided into two groups according to echocardiographic evidence of RV dysfunction. The primary study outcome was 1-year mortality. The propensity score matching was performed to balance for potential baseline confounders. The study population consisted of 224 patients (mean age 69 ± 14, male sex 62%); RV dysfunction was diagnosed in 63 cases (28%). Patients with RV dysfunction were older (75 vs. 67 years, p < 0.001), had higher prevenance of coronary artery disease (27% vs. 11%, p = 0.003), and lower left ventricular ejection fraction (50% vs. 55%, p < 0.001). The rate of 1-year mortality (67% vs. 28%; p ≤ 0.001) was significantly higher in patients with RV dysfunction compared with patients without. After propensity score matching, patients with RV dysfunction showed a worse long-term survival (62% vs. 29%, p < 0.001). The multivariable Cox regression model showed an independent association of RV dysfunction with 1-year mortality. RV dysfunction is a relatively common finding in hospitalized COVID-19 patients, and it is independently associated with an increased risk of 1-year mortality.

Impact of COVID-19 pandemic on in-hospital outcomes for patients with acute coronary syndrome: a propensity-weighted, multicentre study

Aims Coronavirus disease 19 (COVID-19) pandemic has dramatically changed the management and the prognosis of patients experiencing acute coronary syndrome (ACS). Several scientific societies have highlighted the need for dedicated paths to deliver better and faster care to improve outcomes. Nevertheless, data depicting the impact of COVID-19 pandemic on ACS in Italy are still poor. To perform a propensity weighted analysis on a multicentre Italian registry involving patients with ACS managed before vs. during COVID-19 pandemic, taking into account baseline patients characteristics, clinical presentation, procedural aspects, and in-hospital outcomes (death, bleeding, stent thrombosis, myocardial infarction, stroke/transient ischaemic attack, mechanical complication, and arrhythmic complication). Methods and results We included all consecutive patients who have suffered from ACS during two periods before (March/April 2018, March/April 2019) vs. the period of COVID-19 pandemic (March/April 2020). A generalized boosted non-parsimonious regression was used to estimate the propensity scores of having an ACS in 2020 (year of COVID-19) vs. 2018/2019 using an average treatment effect and balancing for all baseline confounders. We included 2851 patients admitted to hospital with ACS in 17 Italian centres: 1079 (37.8%) during 2018, 1056 (37.0%) in 2019, and 716 (25.1%) during the first COVID-19 wave of 2020. Seventy (2.5%) patients had a positive swab for SARS-CoV-2 at admission. During 2020 there were higher time-to-emergency-call (P = 0.028) and less diagnosis of unstable angina (P = 0.029) and MINOCA (P = 0.004);none of the admission symptoms differ significantly across the years (P > 0.05) except for fever that was more prevalent in 2020 (P < 0.001). Patients suffering from ACS had lower admission EF (P = 0.006). After PS weighting, multivariate Cox regression analysis showed age (P < 0.001), night admission (P = 0.017), cardiocirculatory arrest before cath-lab (P = 0.041), worst Killip class (P = 0.039), admission EF (P = 0.026), and need for left-ventricle mechanical support (P = 0.011) as independent predictors of in-hospital death. After propensity weighted analysis none of the in-hospital outcomes differed significantly across the years of investigation (all P > 0.05). Conclusions During COVID-19 pandemic in Italy the characteristics and management of ACS was slightly different than the past. However, the rates of ‘hard’, in-hospital outcomes (e.g. deaths) are almost similar to the past, suggesting appropriate care and well-organized emergency-paths for ACS.

Cardiopulmonary exercise testing in COVID-19 patients at 3 months follow-up.

BACKGROUND: Long-term effects of Coronavirus Disease of 2019 (COVID-19) are of utmost relevance. We aimed to determine: 1) the functional capacity of COVID-19 survivors by cardiopulmonary exercise testing (CPET); 2) the characteristics associated with cardiopulmonary exercise testing (CPET) performance; 3) the safety and tolerability of CPET. METHODS: We prospectively enrolled consecutive patients with laboratory-confirmed COVID-19 from Azienda Sanitaria Locale 3, Genoa. Three months after hospital discharge a complete clinical evaluation, trans-thoracic echocardiography, CPET, pulmonary function tests, and dominant leg extension (DLE) maximal strength measurement were performed. RESULTS: From the 225 patients discharged alive from March to November 2020, we excluded 12 incomplete/missing cases and 13 unable to perform CPET, leading to a final cohort of 200. Median percent-predicted peak oxygen uptake (%pVO2) was 88% (78.3-103.1). Ninety-nine (49.5%) patients had %pVO2 below, whereas 101 (50.5%) above the 85% predicted value. Among the 99 patients with reduced %pVO2, 61 (61%) had a normal anaerobic threshold: of these, 9(14.8%) had respiratory, 21(34.4%) cardiac, and 31(50.8%) non-cardiopulmonary reasons for exercise limitation. Inerestingly, 80% of patients experienced at least one disabling symtpom, not related to %pVO2 or functional capacity. Multivariate linear regression showed percent-predicted forced expiratory volume in one-second(ß = 5.29,p = 0.023), percent-predicted diffusing capacity of lungs for carbon monoxide(ß = 6.31,p = 0.001), and DLE maximal strength(ß = 14.09,p = 0.008) to be independently associated with pVO2. No adverse event was reported during or after CPET, and no involved health professional developed COVID-19. CONCLUSIONS: At three months after discharge, about 1/3rd of COVID-19 survivors show functional limitations, mainly explained by muscular impairment, calling for future research to identify patients at higher risk of long-term effects that may benefit from careful surveillance and targeted rehabilitation.

Pre- and in-hospital anticoagulation therapy in coronavirus disease 2019 patients: a propensity-matched analysis of in-hospital outcomes.

AIMS: To estimate if chronic anticoagulant (CAC) treatment is associated with morbidity and mortality outcomes of patients hospitalized for SARS-CoV-2 infection. METHODS: In this European multicentric cohort study, we included 1186 patients of whom 144 were on CAC (12.1%) with positive coronavirus disease 2019 testing between 1 February and 30 July 2020. The average treatment effect (ATE) analysis with a propensity score-matching (PSM) algorithm was used to estimate the impact of CAC on the primary outcomes defined as in-hospital death, major and minor bleeding events, cardiovascular complications (CCI), and acute kidney injury (AKI). We also investigated if different dosages of in-hospital heparin were associated with in-hospital survival. RESULTS: In unadjusted populations, primary outcomes were significantly higher among CAC patients compared with non-CAC patients: all-cause death (35% vs. 18% P < 0.001), major and minor bleeding (14% vs. 8% P = 0.026; 25% vs. 17% P = 0.014), CCI (27% vs. 14% P < 0.001), and AKI (42% vs. 19% P < 0.001). In ATE analysis with PSM, there was no significant association between CAC and primary outcomes except for an increased incidence of AKI (ATE +10.2%, 95% confidence interval 0.3-20.1%, P = 0.044). Conversely, in-hospital heparin, regardless of dose, was associated with a significantly higher survival compared with no anticoagulation. CONCLUSIONS: The use of CAC was not associated with the primary outcomes except for the increase in AKI. However, in the adjusted survival analysis, any dose of in-hospital anticoagulation was associated with significantly higher survival compared with no anticoagulation.

Determinants of the protective effect of glucocorticoids on mortality in hospitalized patients with COVID-19: Insights from the Cardio-COVID-Italy multicenter study.

BACKGROUND: Glucocorticoid therapy has emerged as an effective therapeutic option in hospitalized patients with coronavirus disease 2019 (COVID-19). This study aimed to focus on the impact of relevant clinical and laboratory factors on the protective effect of glucocorticoids on mortality. METHODS: A sub-analysis was performed of the multicenter Cardio-COVID-Italy registry, enrolling consecutive patients with COVID-19 admitted to 13 Italian cardiology units between 01 March 2020 and 09 April 2020. The primary endpoint was in-hospital mortality. RESULTS: A total of 706 COVID-19 patients were included (349 treated with glucocorticoids, 357 not treated with glucocorticoids). After adjustment for relevant covariates, use of glucocorticoids was associated with a lower risk of in-hospital mortality (adjusted HR 0.44; 95% CI 0.26-0.72; p = 0.001). A significant interaction was observed between the protective effect of glucocorticoids on mortality and PaO2/FiO2 ratio on admission (p = 0.042), oxygen saturation on admission (p = 0.017), and peak CRP (0.023). Such protective effects of glucocorticoids were mainly observed in patients with lower PaO2/FiO2 ratio (<300), lower oxygen saturation (<90%), and higher CRP (>100 mg/L). CONCLUSIONS: The protective effects of glucocorticoids on mortality in COVID-19 were more evident among patients with worse respiratory parameters and higher systemic inflammation.

Implications of atrial fibrillation on the clinical course and outcomes of hospitalized COVID-19 patients: results of the Cardio-COVID-Italy multicentre study.

AIMS: To assess the clinical relevance of a history of atrial fibrillation (AF) in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS AND RESULTS: We enrolled 696 consecutive patients (mean age 67.4 ± 13.2 years, 69.7% males) admitted for COVID-19 in 13 Italian cardiology centres between 1 March and 9 April 2020. One hundred and six patients (15%) had a history of AF and the median hospitalization length was 14 days (interquartile range 9-24). Patients with a history of AF were older and with a higher burden of cardiovascular risk factors. Compared to patients without AF, they showed a higher rate of in-hospital death (38.7% vs. 20.8%; P < 0.001). History of AF was associated with an increased risk of death after adjustment for clinical confounders related to COVID-19 severity and cardiovascular comorbidities, including history of heart failure (HF) and increased plasma troponin [adjusted hazard ratio (HR): 1.73; 95% confidence interval (CI) 1.06-2.84; P = 0.029]. Patients with a history of AF also had more in-hospital clinical events including new-onset AF (36.8% vs. 7.9%; P < 0.001), acute HF (25.3% vs. 6.3%; P < 0.001), and multiorgan failure (13.9% vs. 5.8%; P = 0.010). The association between AF and worse outcome was not modified by previous or concomitant use of anticoagulants or steroid therapy (P for interaction >0.05 for both) and was not related to stroke or bleeding events. CONCLUSION: Among hospitalized patients with COVID-19, a history of AF contributes to worse clinical course with a higher mortality and in-hospital events including new-onset AF, acute HF, and multiorgan failure. The mortality risk remains significant after adjustment for variables associated with COVID-19 severity and comorbidities.

The prognostic value of serial troponin measurements in patients admitted for COVID-19.

AIMS: Myocardial injury (MI) in coronavirus disease-19 (COVID-19) is quite prevalent at admission and affects prognosis. Little is known about troponin trajectories and their prognostic role. We aimed to describe the early in-hospital evolution of MI and its prognostic impact. METHODS AND RESULTS: We performed an analysis from an Italian multicentre study enrolling COVID-19 patients, hospitalized from 1 March to 9 April 2020. MI was defined as increased troponin level. The first troponin was tested within 24 h from admission, the second one between 24 and 48 h. Elevated troponin was defined as values above the 99th percentile of normal values. Patients were divided in four groups: normal, normal then elevated, elevated then normal, and elevated. The outcome was in-hospital death. The study population included 197 patients; 41% had normal troponin at both evaluations, 44% had elevated troponin at both assessments, 8% had normal then elevated troponin, and 7% had elevated then normal troponin. During hospitalization, 49 (25%) patients died. Patients with incident MI, with persistent MI, and with MI only at admission had a higher risk of death compared with those with normal troponin at both evaluations (P < 0.001). At multivariable analysis, patients with normal troponin at admission and MI injury on Day 2 had the highest mortality risk (hazard ratio 3.78, 95% confidence interval 1.10-13.09, P = 0.035). CONCLUSIONS: In patients admitted for COVID-19, re-test MI on Day 2 provides a prognostic value. A non-negligible proportion of patients with incident MI on Day 2 is identified at high risk of death only by the second measurement.

Prevalence and prognostic value of cardiac troponin in elderly patients hospitalized for COVID-19.

BACKGROUND: Increases in cardiac troponin (cTn) in coronavirus disease 2019 (COVID-19) have been associated with worse prognosis. Nonetheless, data about the significance of cTn in elderly subjects with COVID-19 are lacking. METHODS: From a registry of consecutive patients with COVID-19 admitted to a hub hospital in Italy from 25/02/2020 to 03/07/2020, we selected those ≥ 60 year-old and with cTnI measured within three days from the molecular diagnosis of SARS-CoV-2 infection. When available, a second cTnI value within 48 h was also extracted. The relationship between increased cTnI and all-cause in-hospital mortality was evaluated by a Cox regression model and restricted cubic spline functions with three knots. RESULTS: Of 343 included patients (median age: 75.0 (68.0-83.0) years, 34.7% men), 88 (25.7%) had cTnI above the upper-reference limit (0.046 µg/L). Patients with increased cTnI had more comorbidities, greater impaired respiratory exchange and higher inflammatory markers on admission than those with normal cTnI. Furthermore, they died more (73.9%vs. 37.3%, P < 0.001) over 15 (6-25) days of hospitalization. The association of elevated cTnI with mortality was confirmed by the adjusted Cox regression model (HR = 1.61, 95%CI: 1.06-2.52, P = 0.039) and was linear until 0.3 µg/L, with a subsequent plateau. Of 191 (55.7%) patients with a second cTnI measurement, 49 (25.7%) had an increasing trend, which was not associated with mortality (univariate HR = 1.39, 95%CI: 0.87-2.22, P = 0.265). CONCLUSIONS: In elderly COVID-19 patients, an initial increase in cTn is common and predicts a higher risk of death. Serial cTn testing may not confer additional prognostic information.

Cancer Patient With Unusual Dyspnea in the COVID-19 Era: Challenging Management of a Rare Cardiac Tumor.

Heart failure symptoms, in particular dyspnea, may be difficult to frame in a patient with cancer. We report the case of an oncological patient whose dyspnea could have been attributable to various causes and whose management was challenging in the context of the coronavirus disease-2019 pandemic. (Level of Difficulty: Beginner.).

Coagulative Disorders in Critically Ill COVID-19 Patients with Acute Distress Respiratory Syndrome: A Critical Review.

In critically ill patients with acute respiratory distress syndrome (ARDS) coronavirus disease 2019 (COVID-19), a high incidence of thromboembolic and hemorrhagic events is reported. COVID-19 may lead to impairment of the coagulation cascade, with an imbalance in platelet function and the regulatory mechanisms of coagulation and fibrinolysis. Clinical manifestations vary from a rise in laboratory markers and subclinical microthrombi to thromboembolic events, bleeding, and disseminated intravascular coagulation. After an inflammatory trigger, the mechanism for activation of the coagulation cascade in COVID-19 is the tissue factor pathway, which causes endotoxin and tumor necrosis factor-mediated production of interleukins and platelet activation. The consequent massive infiltration of activated platelets may be responsible for inflammatory infiltrates in the endothelial space, as well as thrombocytopenia. The variety of clinical presentations of the coagulopathy confronts the clinician with the difficult questions of whether and how to provide optimal supportive care. In addition to coagulation tests, advanced laboratory tests such as protein C, protein S, antithrombin, tissue factor pathway inhibitors, D-dimers, activated factor Xa, and quantification of specific coagulation factors can be useful, as can thromboelastography or thromboelastometry. Treatment should be tailored, focusing on the estimated risk of bleeding and thrombosis. The aim of this review is to explore the pathophysiology and clinical evidence of coagulation disorders in severe ARDS-related COVID-19 patients.

Interpretation of elevated high-sensitivity cardiac troponin I in elite soccer players previously infected by severe acute respiratory syndrome coronavirus 2.

OBJECTIVES: To clarify the meaning of elevated cardiac troponin in elite soccer athletes previously infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and screened for cardiovascular involvement in the wake of competitive sport resumption. METHODS: We designed a retrospective cohort study with the collaboration of two Italian Serie A teams. Soccer players from both rosters (58 athletes) were systematically analysed. For every SARS-CoV-2 positive athlete, the Italian Soccer Federation protocol requested full blood tests including high-sensitivity cardiac troponin I (hs-cTnI), along with a complete cardiovascular examination. We extended the analysis to SARS-CoV-2 negative athletes. RESULTS: A total of 13/58 players (22.4%) suffered from SARS-CoV-2infection: all had a negative cardiovascular examination and 2/13 (15%) showed increased hs-cTnI values (120.8 pg/ml and 72,6 pg/ml, respectively; upper reference level 39.2 pg/ml), which did not track with inflammatory biomarkers. Regarding the 45/58 (77.6%) non infected athletes, a slight increase in hs-cTnI was observed in 2 (4.5%) subjects (values: 61 pg/ml and 75 pg/ml respectively). All hs-cTnI positive athletes (4/58, 7%) underwent cardiac magnetic resonance (CMR), that excluded any cardiac injury. CONCLUSIONS: In our retrospective study, SARS-CoV-2 infection in elite soccer athletes was not associated to clinical or biomarkers abnormalities. Increased hs-cTnI was rare and not significantly associated with previous SARS-COV2 infection nor with pathological findings at CMR, albeit elevated hs-cTnI was numerically more prevalent in the infected group.