Abstract P95: Characteristics of a Diverse Cohort of Stroke Patients With SARS-CoV-2 and Outcome by Sex

Background: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is associated with stroke. The role of sex on stroke outcome has not been investigated. We describe the characteristics of a diverse cohort of acute stroke patients with COVID-19 disease, and investigate the role of sex on outcome. Methods: This is a retrospective study of patients with acute stroke and SARS-CoV-2 infection admitted between March 15 to May 15, 2020 to one of the six participating comprehensive stroke centers from Chicago metropolitan area. Baseline characteristics, stroke subtype, workup, treatment and outcome are presented as total number and percentage. Outcome at discharge was determined by the modified Rankin Scale Score (mRS). Variables and outcomes were compared for males and females using univariate and multivariate analysis. Results: The study included 83 patients. Median age was 64 years and the majority were Blacks (47%) followed by Hispanics (28%) and whites (16%). Approximately 89% had at least one preexisting vascular risk factor (VRF). The most common complications were respiratory failure (59%) and septic shock (34%). Higher proportions of male experienced severe SARS-CoV-2 symptoms requiring ICU hospitalization (73% vs. 49%; p=0.04). When divided by stroke subtype, there were 77% ischemic, 19% intracerebral hemorrhage and 3% subarachnoid hemorrhage. The most common ischemic stroke etiologies were cryptogenic (39%) and cardioembolic (27%). Compared to female, males had higher mortality (38% vs. 13%; p=0.02) and were less likely to be discharged home (12% vs. 33%; p=0.04). After adjustment for age, race/ethnicity, and number of VRFs, mRS was higher in males than in females (OR=1.47, 95% CI=1.03-2.09) Conclusion: In this cohort of SARS-CoV-2 stroke patients, most had clinical evidence of coronavirus infection on admission and preexisting VRFs. Severe in-hospital complications and worse outcomes after ischemic strokes were higher in males, than females.

Abstract 13658: Factors Associated With the Unnecessary Continuation of Cardiac Telemetry Through Discharge

Background: Inpatient cardiac telemetry remains over-utilized. Even when ordered judiciously, telemetry may be unnecessarily continued through discharge, adding cost, complexity, and inconvenience to care. Objective: To determine the rate of continuation of cardiac telemetry through time of hospital discharge, and the factors associated with its prolonged use. Methods: We analyzed 37,779 telemetry admissions between January 1 and December 31, 2019 at a 6-hospital healthcare system in the Chicago metropolitan area. We sought to evaluate whether hospital setting, location at time of telemetry order, ICU admission, major diagnostic category, cardiology consultation, or discharge disposition affected telemetry continuation through discharge. Results: In total, 47.1% of all telemetry admissions retained an active telemetry order through hospital discharge. The median and mean durations on telemetry were 71 hours and 101 hours, respectively. Patients admitted to a community hospital, hospitalized with a cardiac-related Medicare Severity-Diagnosis Related Group (MS-DRG), consulted on by cardiology, started on telemetry in the cardiac catheterization lab, or discharged home were more likely to be continued on telemetry through discharge. Odds ratios are shown in the figure, with an odds ratio > 1 indicating increased likelihood of being continued on telemetry through time of discharge. Conclusions: Once started on cardiac telemetry, nearly half of all patients remained on telemetry until discharge. Those with substantial cardiovascular-related care - as evidenced by procedure in the catheterization lab, cardiology consultation, or a cardiac MS-DRG - were more likely to be continued on telemetry through discharge. Quality improvement interventions aiming to reduce telemetry duration should focus on strengthening daily reviews of telemetry need, perhaps leveraging the electronic health record to link telemetry indications and duration.

Real World Outcomes of Sars-Cov-2 Thrombosis Rates across Three University Health Systems in the Chicago Metropolitan Area

Introduction: Initial studies from Wuhan, China reported patients infected with SARS-CoV-2 have uncontrolled coagulopathy and an increased risk for thrombotic complications, including pulmonary embolism (PE), deep vein thrombosis (DVT), and arterial thrombosis.1 The incidence of thrombosis attributed to coronavirus disease 2019 (COVID-19) ranged from 9.5% in all hospital-admitted patients to 31% in the critically ill.2,3 COVID-19 has had a major impact on the Chicago metropolitan area with over 121,000 confirmed cases as of August 2020, Cook county being the 4th highest affected county after Maricopa, Miami-Dade and Los Angeles counties.4 The primary goal of this study is to describe the rate of thrombotic events in the Chicago metropolitan area, highlighting an ethnically diverse population, and identify new risk factors for thrombosis between three university health systems. Methods: We conducted a retrospective analysis between three university health systems in the Chicago metropolitan area: Loyola University Health System (LUHS): comprised of one tertiary and two community hospitals, Rush University System for Health (RUSH): comprised of one tertiary and two community hospitals, and University of Illinois-Chicago (UIC): a tertiary hospital. All patients had positive SARS-CoV-2 testing and were hospitalized for COVID-19. PE, DVT or arterial thrombosis were confirmed by supportive imaging modalities. Wilcoxon rank sum test were used to test the associations of continuous variables; Chi-square test or Fisher's exact test were used to test the associations of categorical variables. All analyses were performed with SAS 9.4 and two-sided p-value < .05 were deemed statistically significant. Results: Between March and May 2020, 2,180 patients from LUHS, RUSH and UIC were hospitalized for COVID-19 and were included in our analysis. Baseline patient demographics are described in Table 1. Race/ethnicity demographics are as follows: Hispanics (H)/ African Americans (AA) represented 47%/17% of LUHS patients, 32%/42% of RUSH patients, and 36%/51% of UIC patients, respectively (Figure 1). Intensive care admissions were needed in 33% of all patients. Documented total thrombotic events are as follows: LUHS = 5.4% (41 VTE/PE, 10 arterial and 5 with both venous and arterial); RUSH = 9.7% (70 VTE/PE, 7 arterial and 4 with both venous/arterial); UIC = 6% (14 VTE/PE, 4 arterial and 0 with both venous/arterial). Patients that developed a thrombotic event were similar by age, sex, and BMI to those without a thrombotic event. Anticoagulation prophylaxis was given to 82% of pts at LUHS and UIC at time of admission. Collectively, those with thrombotic events (N=156) had higher incidence of intensive care admission, elevated white blood cell (WBC) count and a d-dimer >5X upper limit normal (ULN) at presentation. Furthermore, a higher proportion of pts that had a thrombotic event were diabetic at LUHS and RUSH (Table 2). Mortality in COVID-19 patients was 13-16% and patients that had a thrombotic event had a higher risk of death in the RUSH and UIC cohorts. Conclusions: In a racially diverse, multi-institutional cohort of patients, we demonstrate that 7.2% of COVID-19 patients had a thrombotic event. Consistent risk factors for thrombosis across the different centers included an initial d-dimer levels >5X ULN, elevated initial WBC count, diabetes, and being critically ill. Mortality differences and anticoagulation practices between the institutions as well as race/ethnicity differences regarding thrombosis will be explored in future combined multivariate analyses. Finally, based off these risk factors, identification of patients at most risk for thrombosis is needed to reduce the morbidity and mortality when diagnosed with COVID-19. References -Tang et. al. J Thromb Haemost. 2020;18:844-847. -Klock et. Al. Thrombosis Research 2020;191:145-147. -Al-Samkari H, Laef RS, Dzik WH et. Al. COVID-19 and coagulation: bleeding and thrombotic manifestations of SARS-CoV-2 infection. Blood. 2020;136(4):489-500. -https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/county-map.html; accessed 8/7/20. Disclosures Arain: Astellas: Other: Spouse is employed. Stiff:Macrogenics: Research Funding; Delta-Fly: Research Funding; Unum: Research Funding; Atara: Research Funding; Kite, a Gilead Company: Research Funding; Amgen: Research Funding; Gamida Cell: Research Funding. Saraf:Novartis, Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees; Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other: Advisory Boards, Speakers Bureau; Pfizer, Global Blood Therapeutics, Novartis: Research Funding.

Factors Associated With Intubation and Prolonged Intubation in Hospitalized Patients With COVID-19

Objective To identify risk factors associated with intubation and time to extubation in hospitalized patients with coronavirus disease 2019 (COVID-19). Study Design Retrospective observational study. Setting Ten hospitals in the Chicago metropolitan area. Subjects and Methods Patients with laboratory-confirmed COVID-19 admitted between March 1 and April 8, 2020, were included. We evaluated sociodemographic and clinical characteristics associated with intubation and prolonged intubation for acute respiratory failure secondary to COVID-19 infection. Results Of the 486 hospitalized patients included in the study, the median age was 59 years (interquartile range, 47-69); 271 (55.8%) were male; and the median body mass index was 30.6 (interquartile range, 26.5-35.6). During the hospitalization, 138 (28.4%) patients were intubated; 78 (56.5%) were eventually extubated; 21 (15.2%) died; and 39 (28.3%) remained intubated at a mean ± SD follow-up of 19.6 ± 6.7 days. Intubated patients had a significantly higher median age (65 vs 57 years, P < .001) and rate of diabetes (56 [40.6%] vs 104 [29.9%], P = .031) as compared with nonintubated patients. Multivariable logistic regression analysis identified age, sex, respiratory rate, oxygen saturation, history of diabetes, and shortness of breath as factors predictive of intubation. Age and body mass index were the only factors independently associated with time to extubation. Conclusion In addition to clinical signs of respiratory distress, patients with COVID-19 who are older, male, or diabetic are at higher risk of requiring intubation. Among intubated patients, older and more obese patients are at higher risk for prolonged intubation. Otolaryngologists consulted for airway management should consider these factors in their decision making.