Prognostic value of H2FPEF score in COVID-19.

STUDY OBJECTIVE: This study sought to assess the predictive value of H2FPEF score in patients with COVID-19. DESIGN: Retrospective study. SETTING: Rush University Medical Center. PARTICIPANTS: A total of 1682 patients had an echocardiogram in the year preceding their COVID-19 admission with a preserved ejection fraction (≥50%). A total of 156 patients met inclusion criteria. INTERVENTIONS: Patients were divided into H2FPEF into low (0-2), intermediate (3-5), and high (6-9) score H2FPEF groups and outcomes were compared. MAIN OUTCOME MEASURES: Adjusted multivariable logistic regression models evaluated the association between H2FPEF score group and a composite outcome for severe COVID-19 infection consisting of (1) 60-day mortality or illness requiring (2) intensive care unit, (3) intubation, or (4) non-invasive positive pressure ventilation. RESULTS: High H2FPEF scores were at increased risk for severe COVID-19 infection when compared intermediate to H2FPEF score groups (OR 2.18 [CI: 1.01-4.80]; p = 0.049) and low H2FPEF score groups (OR 2.99 [CI: 1.22-7.61]; p < 0.05). There was no difference in outcome between intermediate H2FPEF scores (OR 1.34 [CI: 0.59-3.16]; p = 0.489) and low H2FPEF score. CONCLUSIONS: Patients with a high H2FPEF score were at increased risk for severe COVID-19 infection when compared to patients with an intermediate or low H2FPEF score regardless of regardless of coronary artery disease and chronic kidney disease.

Clinical outcomes of COVID-19 infection in patients with pre-existing cardiovascular disease.

Introduction: Patients with pre-existing cardiovascular disease may carry a higher risk for mortality from COVID-19. This study examined the association between individuals with pre-existing cardiovascular disease admitted for COVID-19 and their clinical outcomes. Methods: A retrospective cohort study was conducted on patients admitted with COVID-19 to Rush University System for Health (RUSH) to identify cardiovascular risk factors associated with increased mortality and major adverse cardiovascular events (MACE; a composite of cardiovascular death, stroke, myocardial injury, and heart failure exacerbation). Multivariable logistic regression was used to adjust for demographic data and comorbid conditions. Results: Of the 1682 patients who met inclusion criteria, the median age was 59. Patients were predominantly African American (34.4 %) and male (54.5 %). Overall, 202 (12 %) patients suffered 60-day mortality. In the multivariable model that assessed risk factors for 60-day mortality, age 60-74 (adjusted odds ratio [aOR] 3.30 [CI: 1.23-10.62]; p < 0.05) and age 75-100 (aOR 4.52 [CI: 1.46-16.15]; p < 0.05) were significant predictors when compared to those aged 19 to 39. This model also showed that those with past medical histories of atrial fibrillation (aOR 2.47 [CI: 1.38-4.38]; p < 0.01) and venous thromboembolism (aOR 2.00 [CI: 1.12-3.50]; p < 0.05) were at higher risk of 60-day mortality. Conclusion: In this cohort, patients over 60 years old with a pre-existing history of atrial fibrillation and venous thromboembolism were at increased risk of mortality from COVID-19.

Soluble Urokinase Plasminogen Activator Receptor and Venous Thromboembolism in COVID-19.

Background Venous thromboembolism (VTE) contributes significantly to COVID-19 morbidity and mortality. The urokinase receptor system is involved in the regulation of coagulation. Levels of soluble urokinase plasminogen activator receptor (suPAR) reflect hyperinflammation and are strongly predictive of outcomes in COVID-19. Whether suPAR levels identify patients with COVID-19 at risk for VTE is unclear. Methods and Results We leveraged a multinational observational study of patients hospitalized for COVID-19 with suPAR and D-dimer levels measured on admission. In 1960 patients (mean age, 58 years; 57% men; 20% Black race), we assessed the association between suPAR and incident VTE (defined as pulmonary embolism or deep vein thrombosis) using logistic regression and Fine-Gray modeling, accounting for the competing risk of death. VTE occurred in 163 (8%) patients and was associated with higher suPAR and D-dimer levels. There was a positive association between suPAR and D-dimer (ß=7.34; P=0.002). Adjusted for clinical covariables, including D-dimer, the odds of VTE were 168% higher comparing the third with first suPAR tertiles (adjusted odds ratio, 2.68 [95% CI, 1.51-4.75]; P<0.001). Findings were consistent when stratified by D-dimer levels and in survival analysis accounting for death as a competing risk. On the basis of predicted probabilities from random forest, a decision tree found the combined D-dimer <1 mg/L and suPAR <11 ng/mL cutoffs, identifying 41% of patients with only 3.6% VTE probability. Conclusions Higher suPAR was associated with incident VTE independently of D-dimer in patients hospitalized for COVID-19. Combining suPAR and D-dimer identified patients at low VTE risk. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT04818866.

Hyperdynamic left ventricular ejection fraction is associated with higher mortality in COVID-19 patients.

Study objective: To compare the characteristics and outcomes of COVID-19 patients with a hyperdynamic LVEF (HDLVEF) to those with a normal or reduced LVEF. Design: Retrospective study. Setting: Rush University Medical Center. Participants: Of the 1682 adult patients hospitalized with COVID-19, 419 had a transthoracic echocardiogram (TTE) during admission and met study inclusion criteria. Interventions: Participants were divided into reduced (LVEF < 50%), normal (≥50% and <70%), and hyperdynamic (≥70%) LVEF groups. Main outcome measures: LVEF was assessed as a predictor of 60-day mortality. Logistic regression was used to adjust for age and BMI. Results: There was no difference in 60-day mortality between patients in the reduced LVEF and normal LVEF groups (adjusted odds ratio [aOR] 0.87, p = 0.68). However, patients with an HDLVEF were more likely to die by 60 days compared to patients in the normal LVEF group (aOR 2.63 [CI: 1.36-5.05]; p < 0.01). The HDLVEF group was also at higher risk for 60-day mortality than the reduced LVEF group (aOR 3.34 [CI: 1.39-8.42]; p < 0.01). Conclusion: The presence of hyperdynamic LVEF during a COVID-19 hospitalization was associated with an increased risk of 60-day mortality, the requirement for mechanical ventilation, vasopressors, and intensive care unit.

Echocardiographic predictors of mortality and morbidity in COVID-19 disease using focused cardiovascular ultrasound.

BACKGROUND: Focused transthoracic echocardiography (fTTE) has emerged as a critical diagnostic tool during the COVID-19 pandemic, allowing for efficient cardiac imaging while minimizing staff exposure. The utility of fTTE in predicting clinical outcomes in COVID-19 remains under investigation. METHODS: We conducted a retrospective study of 2,266 hospitalized patients at Rush University Medical Center with COVID-19 infection between March and November 2020 who received a fTTE. fTTE data were analyzed for association with primary adverse outcomes (60-day mortality) and with secondary adverse outcomes (need for renal replacement therapy, need for invasive ventilation, shock, and venous thromboembolism). RESULTS: Of the 427 hospitalized patients who had a fTTE performed (mean 62 years, 43% female), 109 (26%) had died by 60 days. Among patients with an available fTTE measurement, right ventricular (RV) dilation was noted in 34% (106/309), 43% (166/386) had RV dysfunction, and 17% (72/421) had left ventricular (LV) dysfunction. In multivariable models accounting for fTTE data, RV dilation was significantly associated with 60-day mortality (OR 1.93 [CI 1.13-3.3], p = 0.016). LV dysfunction was not significantly associated with 60-day mortality (OR 0.95 [CI: 0.51-1.78], p = 0.87). CONCLUSIONS: Abnormalities in RV echocardiographic parameters are adverse prognosticators in COVID-19 disease. Patients with RV dilation experienced double the risk for 60-day mortality due to COVID-19. To our knowledge, this is the largest study to date that highlights the adverse prognostic implications of RV dilation as determined through fTTE in hospitalized COVID-19 patients.

Cardiovascular findings on chest computed tomography associated with COVID-19 adverse clinical outcomes.

STUDY OBJECTIVE: Chest computed tomography (chest CT) is routinely obtained to assess disease severity in COVID-19. While pulmonary findings are well-described in COVID-19, the implications of cardiovascular findings are less well understood. We evaluated the impact of cardiovascular findings on chest CT on the adverse composite outcome (ACO) of hospitalized COVID-19 patients. SETTING/PARTICIPANTS: 245 COVID-19 patients who underwent chest CT at Rush University Health System were included. DESIGN: Cardiovascular findings, including coronary artery calcification (CAC), aortic calcification, signs of right ventricular strain [right ventricular to left ventricular diameter ratio, pulmonary artery to aorta diameter ratio, interventricular septal position, and inferior vena cava (IVC) reflux], were measured by trained physicians. INTERVENTIONS/MAIN OUTCOME MEASURES: These findings, along with pulmonary findings, were analyzed using univariable logistic analysis to determine the risk of ACO defined as intensive care admission, need for non-invasive positive pressure ventilation, intubation, in-hospital and 60-day mortality. Secondary endpoints included individual components of the ACO. RESULTS: Aortic calcification was independently associated with an increased risk of the ACO (odds ratio 1.86, 95% confidence interval (1.11-3.17) p < 0.05). Aortic calcification, CAC, abnormal septal position, or IVC reflux of contrast were all significantly associated with 60-day mortality and major adverse cardiovascular events. IVC reflux was associated with in-hospital mortality (p = 0.005). CONCLUSION: Incidental cardiovascular findings on chest CT are clinically important imaging markers in COVID-19. It is important to ascertain and routinely report cardiovascular findings on CT imaging of COVID-19 patients as they have potential to identify high risk patients.

The prognostic value of cardiac troponin for 60 day mortality and major adverse events in COVID-19 patients.

BACKGROUND: The variability of coronavirus disease 2019 (COVID-19) illness severity has puzzled clinicians and has sparked efforts to better predict who would benefit from rapid intervention. One promising biomarker for in-hospital morbidity and mortality is cardiac troponin (cTn). METHODS: A retrospective study of 1331 adult patients with COVID-19 admitted to the Rush University System in Illinois, USA was performed. Patients without cTn measurement during their admission or a history of end stage renal disease or stage 5 chronic kidney disease were excluded. Using logistic regression adjusted for baseline characteristics, pre-existing comorbidities, and other laboratory markers of inflammation, cTn was assessed as a predictor of 60-day mortality and severe COVID-19 infection, consisting of a composite of 60-day mortality, need for intensive care unit, or requiring non-invasive positive pressure ventilation or intubation. RESULTS: A total of 772 patients met inclusion criteria. Of these, 69 (8.9%) had mild cTn elevation (> 1 to < 2x upper limit of normal (ULN)) and 46 (6.0%) had severe cTn elevation (≥ 2x ULN). Regardless of baseline characteristics, comorbidities, and initial c-reactive protein, lactate dehydrogenase, and ferritin, when compared to the normal cTn group, mild cTn elevation and severe cTn elevation were predictors of severe COVID-19 infection (adjusted OR [aOR] aOR 3.00 [CI: 1.51 - 6.29], P < 0.01; aOR 9.96 [CI: 2.75 - 64.23], P < 0.01, respectively); severe cTn elevation was a predictor of in-hospital mortality (aOR 2.42 [CI: 1.10 - 5.21], P < 0.05) and 60-day mortality (aOR 2.45 [CI: 1.13 - 5.25], P < 0.05). CONCLUSION: In our cohort, both mild and severe initial cTn elevation were predictors of severe COVID-19 infection, while only severe cTn elevation was predictive of 60-day mortality. First cTn value on hospitalization is a valuable longitudinal prognosticator for COVID-19 disease severity and mortality.

Impact of pre-existing heart failure on 60-day outcomes in patients hospitalized with COVID-19.

BACKGROUND: In the coronavirus disease 2019 (COVID-19) global pandemic, patients with cardiovascular disease represent a vulnerable population with higher risk for contracting COVID-19 and worse prognosis with higher case fatality rates. However, the relationship between COVID-19 and heart failure (HF) is unclear, specifically whether HF is an independent risk factor for severe infection or if other accompanying comorbidities are responsible for the increased risk. METHODS: This is a retrospective analysis of 1331 adult patients diagnosed with COVID-19 infection between March and June 2020 admitted at Rush University System for Health (RUSH) in metropolitan Chicago, Illinois, USA. Patients with history of HF were identified by International Classification of Disease, Tenth Revision (ICD-10) code assignments extracted from the electronic medical record. Propensity score matching was utilized to control for the numerous confounders, and univariable logistic regression was performed to assess the relationship between HF and 60-day morbidity and mortality outcomes. RESULTS: The propensity score matched cohort consisted of 188 patients in both the HF and no HF groups. HF patients did not have lower 60-day mortality (OR 0.81; p = 0.43) compared to patients without HF. However, those with HF were more likely to require readmission within 60 days (OR 2.88; p < 0.001) and sustain myocardial injury defined as troponin elevation within 60 days (OR 3.14; p < 0.05). CONCLUSIONS: This study highlights the complex network of confounders present between HF and COVID-19. When balanced for these numerous factors, those with HF appear to be at no higher risk of 60-day mortality from COVID-19 but are at increased risk for morbidity.

COVID-19-associated takotsubo cardiomyopathy.

The novel COVID-19 has had an unprecedented and devastating spread internationally. COVID-19 infection can lead to a number of cardiovascular sequelae, including heart failure, which may portend worse clinical outcomes. Here, we report a rare case of a 57-year-old woman who developed acute left ventricular systolic dysfunction with apical ballooning consistent with takotsubo cardiomyopathy (TCM), and mixed cardiogenic and septic shock in the setting of COVID-19 disease. We briefly review the pathophysiology and diagnosis of TCM (also described as apical ballooning syndrome and stress-induced cardiomyopathy). Additionally, this case highlights the importance of a multidisciplinary approach to clinical decision-making and resource allocation in diagnosis and management of critical illness in the setting of the ongoing international COVID-19 pandemic.

Endocarditis Complicated by Severe Aortic Insufficiency in a Patient with COVID-19: Diagnostic and Management Implications.

A 38-year-old man presented with cough, shortness of breath, and fatigue. He was diagnosed with Coronavirus Disease-2019 (COVID-19) as well as Enterococcus faecalis bacteremia. Imaging revealed a subaortic membrane with aortic valve endocarditis and severe aortic insufficiency. He had successful aortic valve replacement with a mechanical prosthesis and subaortic membrane resection. This case highlights some of the diagnostic and therapeutic challenges presented by COVID-19 pandemic.