Automated analysis of limited echocardiograms: Feasibility and relationship to outcomes in COVID-19.

Background: As automated echocardiographic analysis is increasingly utilized, continued evaluation within hospital settings is important to further understand its potential value. The importance of cardiac involvement in patients hospitalized with COVID-19 provides an opportunity to evaluate the feasibility and clinical relevance of automated analysis applied to limited echocardiograms. Methods: In this multisite US cohort, the feasibility of automated AI analysis was evaluated on 558 limited echocardiograms in patients hospitalized with COVID-19. Reliability of automated assessment of left ventricular (LV) volumes, ejection fraction (EF), and LV longitudinal strain (LS) was assessed against clinically obtained measures and echocardiographic findings. Automated measures were evaluated against patient outcomes using ROC analysis, survival modeling, and logistic regression for the outcomes of 30-day mortality and in-hospital sequelae. Results: Feasibility of automated analysis for both LVEF and LS was 87.5% (488/558 patients). AI analysis was performed with biplane method in 300 (61.5%) and single plane apical 4- or 2-chamber analysis in 136 (27.9%) and 52 (10.7%) studies, respectively. Clinical LVEF was assessed using visual estimation in 192 (39.3%), biplane in 163 (33.4%), and single plane or linear methods in 104 (21.2%) of the 488 studies; 29 (5.9%) studies did not have clinically reported LVEF. LV LS was clinically reported in 80 (16.4%). Consistency between automated and clinical values demonstrated Pearson's R, root mean square error (RMSE) and intraclass correlation coefficient (ICC) of 0.61, 11.3% and 0.72, respectively, for LVEF; 0.73, 3.9% and 0.74, respectively for LS; 0.76, 24.4ml and 0.87, respectively, for end-diastolic volume; and 0.82, 12.8 ml, and 0.91, respectively, for end-systolic volume. Abnormal automated measures of LVEF and LS were associated with LV wall motion abnormalities, left atrial enlargement, and right ventricular dysfunction. Automated analysis was associated with outcomes, including survival. Conclusion: Automated analysis was highly feasible on limited echocardiograms using abbreviated protocols, consistent with equivalent clinically obtained metrics, and associated with echocardiographic abnormalities and patient outcomes.

Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram.

OBJECTIVE: To rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG). METHODS: A global, volunteer consortium from 4 continents identified patients with ECGs obtained around the time of polymerase chain reaction-confirmed COVID-19 diagnosis and age- and sex-matched controls from the same sites. Clinical characteristics, polymerase chain reaction results, and raw electrocardiographic data were collected. A convolutional neural network was trained using 26,153 ECGs (33.2% COVID positive), validated with 3826 ECGs (33.3% positive), and tested on 7870 ECGs not included in other sets (32.7% positive). Performance under different prevalence values was tested by adding control ECGs from a single high-volume site. RESULTS: The area under the curve for detection of acute COVID-19 infection in the test group was 0.767 (95% CI, 0.756 to 0.778; sensitivity, 98%; specificity, 10%; positive predictive value, 37%; negative predictive value, 91%). To more accurately reflect a real-world population, 50,905 normal controls were added to adjust the COVID prevalence to approximately 5% (2657/58,555), resulting in an area under the curve of 0.780 (95% CI, 0.771 to 0.790) with a specificity of 12.1% and a negative predictive value of 99.2%. CONCLUSION: Infection with SARS-CoV-2 results in electrocardiographic changes that permit the artificial intelligence-enhanced ECG to be used as a rapid screening test with a high negative predictive value (99.2%). This may permit the development of electrocardiography-based tools to rapidly screen individuals for pandemic control.

The relationship between coronary artery disease and clinical outcomes in COVID-19: a single-center retrospective analysis.

INTRODUCTION: Recent studies have reported evidence that coronavirus disease 2019 (COVID-19) has disproportionately affected patients with underlying comorbidities. Our study aims to evaluate the impact of both cardiac and noncardiac comorbidities on a high-risk population with COVID-19 infection and coronary artery disease (CAD) compared to those without CAD. METHODS: This is a retrospective study of patients who tested COVID-19 positive via reverse transcriptase-PCR (RT-PCR) assay. We compared the characteristics and outcomes of patients with and without CAD. Population demographics, comorbidities and clinical outcomes were collected and analyzed. Multivariate logistic regression analysis was used to identify factors associated with inpatient mortality. RESULTS: A final sample population of 355 patients was identified, 77 of which had a known diagnosis of coronary artery disease. Our study population had a higher proportion of females, and those with CAD were significantly older. The rates of cardiovascular risk factors including hypertension, diabetes mellitus and chronic kidney disease, as well as heart failure and chronic obstructive pulmonary disease were significantly higher in the CAD population. Lactate dehydrogenase was the only inflammatory marker significantly lower in the CAD group, while troponin and brain natriuretic peptide were significantly higher in this population. Patients with CAD also had significantly higher inpatient mortality (31% vs 20%, P = 0.046) and need for renal replacement therapy (33% vs 11%, P < 0.0001) compared to the non-CAD group. However, only age [odds ratio 1.041 (1.017-1.066), P = 0.001] was significantly associated with mortality in the overall population after adjusting for demographics and comorbidities, while the presence of CAD was not independently associated with mortality. CONCLUSION: Patients with CAD and COVID-19 have higher rates of comorbidities, inpatient mortality and need for renal replacement therapy compared to their non-CAD counterparts. However, CAD in itself was not associated with mortality after adjusting for other covariates, suggesting that other factors may play a larger role in the increased mortality and poor outcomes in these patients.

Bi-atrial thrombosis in a patient with SARS-CoV-2 infection: a case report.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a rapidly spreading pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It is a multisystemic disease associated with micro- and macrovascular thrombo-embolic complications, including intracardiac thrombosis, which has not been previously reported in the literature. CASE SUMMARY: We report a case of a 68-year-old woman with COVID-19 admitted to our intensive care unit with acute respiratory distress, undifferentiated shock, hyperkalaemia, acute kidney injury, and coagulopathy. She received crystalloid infusion, broad-spectrum antibiotics, hydroxychloroquine, insulin-dextrose, calcium gluconate, sodium bicarbonate, and i.v. vasopressors. Continuous renal replacement therapy (CRRT) was started for refractory hyperkalaemia and metabolic acidosis. Transthoracic echocardiogram obtained for concern of pulmonary embolism found bi-atrial thrombosis with normal bi-ventricular dimensions and function. Systemic anticoagulation was provided, but this was stopped soon afterwards due to worsening coagulopathy and bleeding. Despite intensive measures and supportive therapy, the patient developed worsening hypoxia, refractory shock, and multiorgan failure. After discussion of goals of care with her family, a decision was made to initiate hospice care. The patient died within 72 h of hospital admission. DISCUSSION: Infection with SARS-CoV-2 is a multisystemic disease that primarily affects the lungs, but also predisposes to rare thrombo-embolic phenomena such as intracardiac thrombosis.

Characteristics and clinical outcomes of COVID-19 patients in an underserved-inner city population: A single tertiary center cohort.

There is limited information describing the characteristics and clinical outcomes of patients infected with coronavirus disease 2019 (COVID-19) especially those in underserved urban area with minority population in the United States. This is a retrospective single-center study for patients who were admitted with COVID-19 infection. Data collection was from 1 March through 24 April 2020. Demographic, clinical, laboratory, and treatment data were presented using descriptive statistics and frequencies. The χ2 test and multivariate logistic regression were used to determine association of risk factors and clinical outcomes. A total of 242 inpatients were included with a mean age of 66 ± 14.75 (±standard deviation). A total of 50% were female and 70% were African American. Comorbidities included hypertension (74%), diabetes mellitus (49%), and 19% had either COPD or asthma. Older age was associated with higher risk of inpatient death odds ratio (OR): 1.056 (95% confidence interval [CI]: 1.023-1.090; P = .001). Inpatient mortality occurred in 70% who needed mechanical ventilation (OR: 29.51; 95% CI: 13.28-65.60; P < .0001), 58% who required continuous renal replacement therapy/hemodialysis (CRRT/HD) (OR: 6.63; 95% CI: 2.74-16.05; P < .0001), and 69% who needed vasopressors (OR: 30.64; 95% CI: 13.56-69.20; P < .0001). Amongst biomarkers of disease severity, only baseline CRP levels (145 ± 116 mg/L) were associated with mortality OR: 1.008 (95% CI: 1.003-1.012; P = .002). Majority of hospitalized patients had hypertension and diabetes. Older age was an independent risk factor for inpatient mortality. Requirement of mechanical ventilation, vasopressor use, and CRRT/HD was associated significantly with inpatient mortality. Higher baseline CRP was significantly associated with inpatient death.

Bacterial infections and patterns of antibiotic use in patients with COVID-19.

Bacterial coinfection is associated with poor outcomes in patients with viral pneumonia, but data on its role in the mortality of patients with coronavirus disease 2019 (COVID-19) is limited. This is a single-center retrospective analysis of 242 patients with confirmed COVID-19 admitted to both intensive care and non-intensive care settings. Bacterial coinfection was determined by the presence of characteristic clinical features and positive culture results. Multivariable logistic regression was used to analyze the association of concomitant bacterial infection with inpatient death after adjusting for demographic factors and comorbidities. Antibiotic use pattern was also determined. Bacterial coinfection was detected in 46 (19%) patients. Genitourinary source was the most frequent, representing 57% of all coinfections. The overall mortality rate was 21%. Concomitant bacterial infections were independently associated with increased inpatient mortality (OR, 5.838; 95% CI, 2.647-12.876). Patients with bacterial coinfection were relatively older (71.35 ± 11.20 vs 64.78 ± 15.23; P = .006). A total of 67% of patients received antibiotic therapy, yet 72% did not have an obvious source of bacterial infection. There was a significantly higher rate of inpatient mortality in patients who received antibiotics compared to those who did not (30% vs 5%; P < .0001). Bacterial coinfection in COVID-19 is associated with increased mortality.

Predictors of venous thromboembolism in patients with COVID-19 in an underserved urban population: A single tertiary center experience.

INTRODUCTION: Venous thromboembolism (VTE) is reported in up to 27% of patients with COVID-19 due to SARS-CoV-2 infection. Dysregulated systemic inflammation and various patient traits are presumed to underlie this anomaly. Optimal VTE prophylaxis in COVID-19 patients has not been established due to a lack of validated models for predicting VTE in this population. Our study aims to address this deficiency by identifying demographic and clinical characteristics of COVID-19 patients associated with increased VTE risk. METHODS: This study is a retrospective analysis of all adult patients (final sample, n = 355) hospitalized with confirmed COVID-19 at Einstein Medical Center Philadelphia between March 1 and April 24, 2020. Demographic and clinical patient data were collected and factors associated with VTE were identified and analyzed using t-tests, multivariable logistic regression, and receiver operating characteristic (ROC) curves. RESULTS: Thirty patients (8.5%) developed VTE. Patients with VTE had significantly higher D-dimer levels on admission (P = 0.045) and peak D-dimer levels (P < 0.0001), in addition to higher rates of vasopressor requirements (P = 0.038), intubation (P = 0.003), and death (P = 0.023). Age (OR 1.042), obstructive sleep apnea (OR 5.107), and need for intubation (OR 3.796) were associated with significantly increased odds of VTE. Peak D-dimer level was a good predictor of VTE (AUC 0.806, P < 0.0001) and a D-dimer cutoff of >6640 ng/mL had high (>70%) sensitivity and specificity for VTE. CONCLUSION: Peak D-dimer level may be the most reliable clinical marker in COVID-19 patients for predicting VTE and future prospective studies should attempt to further validate this.

Prevailing patterns of liver enzymes in patients with COVID-19 infection and association with clinical outcomes.

BACKGROUND: COVID-19 is now a critical threat to global public health. Although the majority of patients present with respiratory illness, several studies have described multiorgan involvement. This study evaluated the prevailing patterns of liver enzymes in COVID-19 patients on admission and their association with clinical outcomes. METHODS: This was a single-center retrospective analysis of all inpatients with COVID-19. Demographic and clinical factors, and liver enzyme tests, including aspartate aminotransferase (AST) and alanine aminotransferase (ALT), were noted on admission. The association of liver enzyme elevation with outcomes such as inpatient death, need for intubation, and vasopressor use was determined using the chi-square test and multivariate regression analysis. RESULTS: Among 200 patients, AST and ALT elevation was seen in 55% and 20%, respectively. Alkaline phosphatase elevation was seen in 28%. AST elevation was associated with inpatient death (odds ratio [OR] 1.03, 95% confidence interval [CI] 1.01-1.05; P=0.035), need for vasopressors (OR 1.034, 95%CI 1.015-1.055; P=0.001), and intubation (OR 1.03, 95%CI 1.01-1.05; P=0.002). An AST/ALT ratio of 2 or more was seen in 34% of patients and was associated with need for intubation (OR 2.678, 95%CI 1.202-5.963; P=0.016), and need for vasopressors (OR 3.352, 95%CI 1.495-7.514; P=0.003). CONCLUSION: Serum aminotransferase levels are useful markers of hepatocellular injury. Patients with elevated AST or AST/ALT ratio are at higher risk of severe disease, as evidenced by intubation, vasopressor use, and inpatient death. These patients should be monitored closely given their propensity for severe disease.

Timing of Intubation and Its Implications on Outcomes in Critically Ill Patients With Coronavirus Disease 2019 Infection.

In critically ill patients with coronavirus disease 2019, there has been considerable debate about when to intubate patients with acute respiratory failure. Early expert recommendations supported early intubation. However, as we learned more about this disease, the risks versus benefits of early intubation are less clear. We report our findings from an observational study aimed to compare the difference in outcomes of critically ill patients with coronavirus disease 2019 who were intubated early versus later in the disease course. Early need for intubation was defined as intubation either at admission or within 2 days of having a documented Fio2 greater than or equal to 0.5. In the final sample of 111 patients, 76 (68%) required early intubation. The mean age among those who received early intubation was significantly higher (69.79 ± 12.15 vs 65.03 ± 8.37 years; p = 0.038). Also, the patients who required early intubation had significantly higher Sequential Organ Failure Assessment scores at admission (6.51 vs 3.48; p ≤ 0.0001). The outcomes were equivocal among both groups. In conclusion, we suggest that the timing of intubation has no impact on clinical outcomes among patients with coronavirus disease 2019 pneumonia.

Anticoagulation and bleeding risk in patients with COVID-19.

BACKGROUND: There is no current standardized approach to anticoagulation in patients with Coronavirus Disease 2019 (COVID-19) while potential bleeding risks remain. Our study characterizes the patterns of anticoagulation use in COVID-19 patients and the risk of related bleeding. METHODS: This is a single center retrospective analysis of 355 adult patients with confirmed diagnosis of COVID-19 from March 1 to May 31, 2020. Chi-square was used to analyze the relationship between degree of anticoagulant dose and bleeding events by site. Multivariable logistic regression was used to look at factors associated with inpatient death. RESULTS: 61% of patients were being treated with prophylactic doses of anticoagulation, while 7% and 29% were being treated with sub-therapeutic and therapeutic anticoagulation (TA) doses respectively. In 44% of patients, we found that the decision to escalate the dose of anticoagulation was based on laboratory values characterizing the severity of COVID-19 such as rising D-dimer levels. There were significantly higher rates of bleeding from non-CNS/non-GI sites (p = 0.039) and from any bleeding site overall (p = 0.019) with TA. TA was associated with significantly higher rates of inpatient death (41.6% vs 15.3% p < 0.0001) compared to those without. All patients who developed CNS hemorrhage died p = 0.011. After multivariable logistic regression, only age OR 1.04 95% CI (1.01 to 1.07) p = 0.008 and therapeutic anticoagulation was associated with inpatient mortality OR 6.16 95% CI (2.96 to 12.83) p ≤ 0.0001. CONCLUSION: The use of TA was significantly associated with increased risk of bleeding. Bleeding in turn exhibited trends towards higher inpatient death among patients with COVID-19. These findings should be interpreted with caution and larger more controlled studies are needed to verify the net effects of anticoagulation in patients with COVID-19.

Characteristics of peripheral blood differential counts in hospitalized patients with COVID-19.

BACKGROUND: A lot remains unknown about the features and laboratory findings that may predict worse outcomes in patients with coronavirus disease 2019 (COVID-19). The aim of this study was to evaluate the difference in complete blood count parameters and differential counts in patients hospitalized with COVID-19 who survived compared to those who died. DESIGN: We performed a single-center retrospective study including 242 patients with confirmed COVID-19. We described the characteristics of the complete blood count parameters in these patients. Mann-Whitney U test was used to compare hematologic parameters of patients who died and those who survived; multivariate logistic regression was used to look for associations with mortality. RESULTS: Patients with COVID-19 who died had significantly lower median absolute monocyte count (AMC) (0.4 vs 0.5, P = .039) and median platelet count (169 vs 213, P = .009) compared to those who survived. Patients who died had a significantly higher neutrophil-to-lymphocyte ratio (6.4 vs 4.5, P = .001). The NLR was positively associated with death (OR = 1.038; 95% CI, 1.003-1.074, P = .031), while AMC was inversely associated with death (OR = 0.200; 95% CI, 0.052-0.761, P = .018). CONCLUSION: Among patients with COVID-19, a lower AMC and higher NLR are associated with higher mortality.

The relationship between diabetes and clinical outcomes in COVID-19: a single-center retrospective analysis.

AIMS: Coronavirus disease 19 (COVID-19) has become a pandemic. Diabetic patients tend to have poorer outcomes and more severe disease (Kumar et al. in Diabetes Metab Syndr 14(4):535-545, 2020. https://doi.org/10.1016/j.dsx.2020.04.044 ). However, the vast majority of studies are representative of Asian and Caucasian population and fewer represent an African-American population. METHODS: In this single-center, retrospective observational study, we included all adult patients (> 18 years old) admitted to Einstein Medical Center, Philadelphia, with a diagnosis of COVID-19. Patients were classified according to having a known diagnosis of diabetes mellitus. Demographic and clinical data, comorbidities, outcomes and laboratory findings were obtained. RESULTS: Our sample included a total of 355 patients. 70% were African-American, and 47% had diabetes. Patients with diabetes had higher peak inflammatory markers like CRP 184 (111-258) versus 142 (65-229) p = 0.012 and peak LDH 560 (384-758) versus 499 (324-655) p = 0.017. The need for RRT/HD was significantly higher in patients with diabetes (21% vs 11% p = 0.013) as well as the need for vasopressors (28% vs 18% p = 0.023). Only age was found to be an independent predictor of mortality. We found no significant differences in inpatient mortality p = 0.856, need for RRT/HD p = 0.429, need for intubation p = 1.000 and need for vasopressors p = 0.471 in African-Americans with diabetes when compared to non-African-Americans. CONCLUSIONS: Our study demonstrates that patients with COVID-19 and diabetes tend to have more severe disease and poorer clinical outcomes. African-American patients with diabetes did not differ in outcomes or disease severity when compared to non-African-American patients.

The use of IV vitamin C for patients with COVID-19: a case series.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has affected almost 2.5 million people worldwide with almost 170,000 deaths reported to date. So far, there is scarce evidence for the current treatment options available for COVID-19. Vitamin C has previously been used for treatment of severe sepsis and septic shock. We reviewed the feasibility of using vitamin C in the setting of COVID-19 in a series of patients. METHODS: We sequentially identified a series of patients who were requiring at least 30% of FiO2 or more who received IV vitamin C as part of the COVID-19 treatment and analyzed their demographic and clinical characteristics. We compared inflammatory markers pre and post treatment including D-dimer and ferritin. RESULTS: We identified a total of 17 patients who received IV vitamin C for COVID-19. The inpatient mortality rate in this series was 12% with 17.6% rates of intubation and mechanical ventilation. We noted a significant decrease in inflammatory markers, including ferritin and D-dimer, and a trend to decreasing FiO2 requirements, after vitamin C administration. CONCLUSION: The use of IV vitamin C in patients with moderate to severe COVID-19 disease may be feasible.

Clinical Characteristics and Outcomes of Community- and Hospital-Acquired Acute Kidney Injury with COVID-19 in a US Inner City Hospital System.

INTRODUCTION: Emerging data have described poor clinical outcomes from infection with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2) among African American patients and those from underserved socioeconomic groups. We sought to describe the clinical characteristics and outcomes of acute kidney injury (AKI) in this special population. METHODS: This is a retrospective study conducted in an underserved area with a predominance of African American patients with coronavirus disease 2019 (COVID-19). Descriptive statistics were used to characterize the sample population. The onset of AKI and relation to clinical outcomes were determined. Multivariate logistic regression was used to determine factors associated with AKI. RESULTS: Nearly half (49.3%) of the patients with COVID-19 had AKI. Patients with AKI had a significantly lower baseline estimated glomerular filtration rate (eGFR) and higher FiO2 requirement and D-dimer levels on admission. More subnephrotic proteinuria and microhematuria was seen in these patients, and the majority had a pre-renal urine electrolyte profile. Patients with hospital-acquired AKI (HA-AKI) as opposed to those with community-acquired AKI (CA-AKI) had higher rates of in-hospital death (52 vs. 23%, p = 0.005), need for vasopressors (42 vs. 25%, p = 0.024), and need for intubation (55 vs. 25%, p = 0.006). A history of heart failure was significantly associated with AKI after adjusting for baseline eGFR (OR 3.382, 95% CI 1.121-13.231, p = 0.032). CONCLUSION: We report a high burden of AKI among underserved COVID-19 patients with multiple comorbidities. Those who had HA-AKI had worse clinical outcomes compared to those who with CA-AKI. A history of heart failure is an independent predictor of AKI in patients with COVID-19.

Meta-analysis of outcomes of patients with COVID-19 infection with versus without gastrointestinal symptoms.

This systematic review analyzed whether the presence or absence of gastrointestinal symptoms in patients with SARS-COV-2 infection is associated with adverse outcomes. Searching the Cochrane Center Register of Controlled Trials, we included any studies looking at patients with COVID-19 with gastrointestinal symptoms (nausea, vomiting, diarrhea, abdominal pain) compared to those with COVID-19 but without gastrointestinal manifestations as a control group. The final search yielded 186 articles, all of which were individually screened. Seven studies were identified but three were excluded: one due to lack of a control group without gastrointestinal symptoms, one reported as viral RNA in the stool, and one with only non-critically ill patients. Results of the meta-analysis showed a pooled odds ratio for mortality among those with COVID-19 and gastrointestinal symptoms of 0.91 (confidence interval 0.49-1.68) with heterogeneity of 0% and a pooled odds ratio for acute respiratory distress syndrome of 2.94 (confidence interval 1.17-7.40) with heterogeneity of 0%. In conclusion, gastrointestinal symptoms with COVID-19 are associated with a higher risk of acute respiratory distress syndrome, but do not increase the risk for mortality.

Palliative Care Utilization Among Patients With COVID-19 in an Underserved Population: A Single-Center Retrospective Study.

BACKGROUND: As health-care institutions mobilize resources to address the coronavirus disease 2019 (COVID-19) pandemic, palliative care may potentially be underutilized. It is important to assess the use of palliative care in response to the COVID-19 pandemic. METHODS: This is a retrospective single-center study of patients with COVID-19 diagnosed via reverse transcriptase-polymerase chain reaction assay admitted between March 1, 2020, and April 24, 2020. An analysis of the utilization of palliative care in accordance with patient comorbidities and other characteristics was performed while considering clinical outcomes. Chi-square test was used to determine associations between categorical variables while t-tests were used to compare continuous variables. RESULTS: The overall mortality rate was 21.5% (n = 52), and in 48% (n = 25) of these patients, palliative care was not involved. Fifty-nine percent (n = 24) of those who had palliative consults eventually elected for comfort measures and transitioned to hospice care. Among those classified as having severe COVID-19, only 40% (n = 31) had palliative care involvement. Of these patients with severe COVID-19, 68% (n = 52) died. Patients who got palliative care consults were of older age, had higher rates of intubation, a need for vasopressors, and were dead. CONCLUSION: There was a low utilization rate of palliative care in patients with COVID-19. Conscious utilization of palliative care is needed at the time of COVID-19.