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.

Introduction Bacterial coinfection is associated with poor outcomes in patients with viral pneumonia, but data on its role in the mortality of patients with COVID‐19 is limited. Methods This is a single‐center retrospective analysis of 242 patients with confirmed coronavirus disease 2019 (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. Results 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 0.006%). 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<0.0001). Conclusion Bacterial coinfection in COVID‐19 is associated with increased mortality. This article is protected by copyright. All rights reserved.

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 FiO 2 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.

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.

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