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Background and Purpose: Coronavirus disease 2019 (COVID-19) may be associated with increased risk for ischemic stroke. We present prevalence and characteristics of strokes in patients with laboratory-confirmed severe acute respiratory syndrome coronavirus-2 infection enrolled in the American Heart Association COVID-19 Cardiovascular Disease Registry. Methods: In this quality improvement registry study, we examined demographic, baseline clinical characteristics, and in-hospital outcomes among hospitalized COVID-19 patients. The primary outcomes were ischemic stroke or transient ischemic attack (TIA) and in-hospital death. Results: Among 21 073 patients with COVID-19 admitted at 107 hospitals between January 29, 2020, and November 23, 2020, 160 (0.75%) experienced acute ischemic stroke/TIA (55.3% of all acute strokes) and 129 (0.61%) had other types of stroke. Among nonischemic strokes, there were 44 (15.2%) intracerebral hemorrhages, 33 (11.4%) subarachnoid hemorrhages, 21 (7.3%) epidural/subdural hemorrhages, 2 (0.7%) cerebral venous sinus thromboses, and 24 (8.3%) strokes not otherwise classified. Asians and non-Hispanic Blacks were overrepresented among ischemic stroke/TIA patients compared with their overall representation in the registry, but adjusted odds of stroke did not vary by race. Median time from COVID-19 symptom onset to ischemic stroke was 11.5 days (interquartile range, 17.8); median National Institutes of Health Stroke Scale score was 11 (interquartile range, 17). COVID-19 patients with acute ischemic stroke/TIA had higher prevalence of hypertension, diabetes, and atrial fibrillation compared with those without stroke. Intensive care unit admission and mechanical ventilation were associated with higher odds of acute ischemic stroke/TIA, but older age was not a predictor. In adjusted models, acute ischemic stroke/TIA was not associated with in-hospital mortality. Conclusions: Ischemic stroke risk did not vary by race. In contrast to the association between older age and death from COVID-19, ischemic stroke risk was the highest among middle-aged adults after adjusting for comorbidities and illness severity, suggesting a potential mechanism for ischemic stroke in COVID-19 independent of age-related atherosclerotic pathways.

Background and Purpose: Studies suggest an increased risk of adverse outcomes among patients with acute ischemic stroke (AIS) and coronavirus disease 2019 (COVID-19). Methods: Using Get With The Guidelines–Stroke, we identified 41 971 patients (AIS/COVID-19: 1143; AIS/no COVID-19: 40 828) with AIS hospitalized between February 4, 2020 and June 29, 2020, from 458 Get With The Guidelines–Stroke hospitals with at least one COVID-19 case and evaluated clinical characteristics, treatment patterns, and outcomes. Results: Compared with patients with AIS/no COVID-19, those with AIS/COVID-19 were younger, more likely to be non-Hispanic Black, Hispanic, or Asian, more likely to present with higher National Institutes of Health Stroke Scale scores, and had greater proportions of large vessel occlusions. Rates of thrombolysis and thrombectomy were similar between the groups. Door to computed tomography (median 55 [18–207] versus 35 [14–99] minutes, P P P =0.002) times were longer in the AIS/COVID-19 cohort. In adjusted models, patients with AIS/COVID-19 had decreased odds of discharge with modified Rankin Scale score of ≤2 (odds ratio, 0.65 [95% CI, 0.52–0.81], P P ConclusionS: This analysis demonstrates younger age, greater stroke severity, longer times to evaluation and treatment, and worse morbidity and mortality in patients with AIS/COVID-19 compared with those with AIS/no COVID-19.

Supplemental Digital Content is available in the text., Background and Purpose: The coronavirus disease 2019 (COVID-19) pandemic has created challenges in the delivery of acute stroke care. In this study, we analyze the characteristics, evaluation, treatment, and in-hospital outcomes of patients presenting with acute ischemic stroke (AIS) pre-COVID-19 and during COVID-19. Methods: Get With The Guidelines-Stroke is a national registry of adults with stroke in the United States. Using this registry, we identified patients with a diagnosis of AIS before (n=39 113; November 1, 2019–February 3, 2020) and after (n=41 971; February 4, 2020–June 29, 2020) the first reported case of COVID-19 in the registry. Characteristics, treatment patterns, quality metrics, and in-hospital outcomes were compared between the 2 groups. Results: Stroke presentations decreased by an average of 15.3% per week in the during COVID-19 time period when compared with similar months in 2019. Compared with patients with AIS in the pre-COVID-19 era, patients in the COVID-19 time period had similar rates of intravenous alteplase and endovascular therapy, and similar door to computed tomography, door to needle, and door to endovascular therapy times. In adjusted models, inpatient mortality was similar between those presenting with AIS pre-COVID-19 and during COVID-19 (4.8% versus 5.2%; odds ratio, 1.05 [95% CI, 0.97–1.13]). Conclusions: Among hospitals participating in Get With The Guidelines-Stroke, patients presenting with AIS during COVID-19 received, with few exceptions, similar quality care and experienced similar risk-adjusted outcomes when compared with patients with AIS presenting pre-COVID-19. These findings demonstrate that stroke care in the United States remains robust during the COVID-19 pandemic.

Background: Obesity may contribute to adverse outcomes in coronavirus disease 2019 (COVID-19). However, studies of large, broadly generalizable patient populations are lacking, and the effect of body mass index (BMI) on COVID-19 outcomes— particularly in younger adults—remains uncertain. Methods: We analyzed data from patients hospitalized with COVID-19 at 88 US hospitals enrolled in the American Heart Association’s COVID-19 Cardiovascular Disease Registry with data collection through July 22, 2020. BMI was stratified by World Health Organization obesity class, with normal weight prespecified as the reference group. Results: Obesity, and, in particular, class III obesity, was overrepresented in the registry in comparison with the US population, with the largest differences among adults ≤50 years. Among 7606 patients, in-hospital death or mechanical ventilation occurred in 2109 (27.7%), in-hospital death in 1302 (17.1%), and mechanical ventilation in 1602 (21.1%). After multivariable adjustment, classes I to III obesity were associated with higher risks of in-hospital death or mechanical ventilation (odds ratio, 1.28 [95% CI, 1.09–1.51], 1.57 [1.29–1.91], 1.80 [1.47–2.20], respectively), and class III obesity was associated with a higher risk of in-hospital death (hazard ratio, 1.26 [95% CI, 1.00–1.58]). Overweight and class I to III obese individuals were at higher risk for mechanical ventilation (odds ratio, 1.28 [95% CI, 1.09–1.51], 1.54 [1.29–1.84], 1.88 [1.52–2.32], and 2.08 [1.68–2.58], respectively). Significant BMI by age interactions were seen for all primary end points ( P -interaction70 years. Severe obesity (BMI ≥40 kg/m 2 ) was associated with an increased risk of in-hospital death only in those ≤50 years (hazard ratio, 1.36 [1.01–1.84]). In adjusted analyses, higher BMI was associated with dialysis initiation and with venous thromboembolism but not with major adverse cardiac events. Conclusions: Obese patients are more likely to be hospitalized with COVID-19, and are at higher risk of in-hospital death or mechanical ventilation, in particular, if young (age ≤50 years). Obese patients are also at higher risk for venous thromboembolism and dialysis. These observations support clear public health messaging and rigorous adherence to COVID-19 prevention strategies in all obese individuals regardless of age.

Background: In response to the public health emergency created by the coronavirus disease 2019 (COVID-19) pandemic, American Heart Association volunteers and staff aimed to rapidly develop and launch a resource for the medical and research community to expedite scientific advancement through shared learning, quality improvement, and research. In Methods and Results: Participating hospitals are enrolling consecutive hospitalized patients with active COVID-19 disease, regardless of CVD status. This hospital quality improvement program will allow participating hospitals and health systems to evaluate patient-level data including mortality rates, intensive care unit bed days, and ventilator days from individual review of electronic medical records of sequential adult patients with active COVID-19 infection. Participating sites can leverage these data for onsite, rapid quality improvement, and benchmarking versus other institutions. After 9 weeks, >130 sites have enrolled in the program and >4000 records have been abstracted in the national dataset. Additionally, the aggregate dataset will be a valuable data resource for the medical research community. Conclusions: The AHA COVID-19 CVD Registry will support greater understanding of the impact of COVID-19 on cardiovascular disease and will inform best practices for evaluation and management of patients with COVID-19.

On April 1, 2020, the confirmed global burden of COVID-19 was more than 900,000 with 46,413 deaths Despite worldwide calls for social distancing and containment, the incidence of the disease continues to increase COVID-19 is a respiratory tract infection caused by the novel coronavirus (SARS-CoV2) Preliminary analyses from the Chinese Center for Disease Control and Prevention indicated an overall case fatality rate (CFR) of 2 3%;however the CFR was higher in older adults (14 8% in those 80+/- years) and 49% of all critical cases Those with preexisting conditions (cardiovascular disease (CVD), diabetes, chronic respiratory disease, hypertension, and cancer) also had higher CRFs In the United States, 116 million adults have hypertension, 26 million US adults have diabetes mellitus, 9% have preexisting CVD and may therefore be at greater risk of complications or adverse health outcomes from COVID-19 infection

Background Whether the volume of coronavirus disease 2019 (COVID-19) hospitalizations is associated with outcomes has important implications for the organization of hospital care both during this pandemic and future novel and rapidly evolving high-volume conditions. Methods We identified COVID-19 hospitalizations at US hospitals in the American Heart Association COVID-19 Cardiovascular Disease Registry with ≥10 cases between January and August 2020. We evaluated the association of COVID-19 hospitalization volume and weekly case growth indexed to hospital bed capacity, with hospital risk-standardized in-hospital case-fatality rate (rsCFR). Results There were 85 hospitals with 15,329 COVID-19 hospitalizations, with a median hospital case volume was 118 (interquartile range, 57, 252) and median growth rate of 2 cases per 100 beds per week but varied widely (interquartile range: 0.9 to 4.5). There was no significant association between overall hospital COVID-19 case volume and rsCFR (rho, 0.18, P = .09). However, hospitals with more rapid COVID-19 case-growth had higher rsCFR (rho, 0.22, P = 0.047), increasing across case growth quartiles (P trend = .03). Although there were no differences in medical treatments or intensive care unit therapies (mechanical ventilation, vasopressors), the highest case growth quartile had 4-fold higher odds of above median rsCFR, compared with the lowest quartile (odds ratio, 4.00; 1.15 to 13.8, P = .03). Conclusions An accelerated case growth trajectory is a marker of hospitals at risk of poor COVID-19 outcomes, identifying sites that may be targets for influx of additional resources or triage strategies. Early identification of such hospital signatures is essential as our health system prepares for future health challenges.

Key Points Question What factors are associated with observed trends in the in-hospital mortality rates in the United States during the first 9 months of the COVID-19 pandemic? Findings In this cohort study of 20 736 patients, in-hospital mortality rates decreased in the US between March and November 2020, even after accounting for the changing mix in patient age, sex, comorbidities, and disease severity at the time of admission. Hospital and intensive care unit length of stay and use of mechanical ventilation decreased over time, whereas the use of glucocorticoids and remdesivir increased. Meaning Changes in age, sex, comorbidities, and disease severity among patients with COVID-19 do not fully explain the decrease in the in-hospital mortality rates observed during the first 9 months of the COVID-19 pandemic., Importance In-hospital mortality rates from COVID-19 are high but appear to be decreasing for selected locations in the United States. It is not known whether this is because of changes in the characteristics of patients being admitted. Objective To describe changing in-hospital mortality rates over time after accounting for individual patient characteristics. Design, Setting, and Participants This was a retrospective cohort study of 20 736 adults with a diagnosis of COVID-19 who were included in the US American Heart Association COVID-19 Cardiovascular Disease Registry and admitted to 107 acute care hospitals in 31 states from March through November 2020. A multiple mixed-effects logistic regression was then used to estimate the odds of in-hospital death adjusted for patient age, sex, body mass index, and medical history as well as vital signs, use of supplemental oxygen, presence of pulmonary infiltrates at admission, and hospital site. Main Outcomes and Measures In-hospital death adjusted for exposures for 4 periods in 2020. Results The registry included 20 736 patients hospitalized with COVID-19 from March through November 2020 (9524 women [45.9%]; mean [SD] age, 61.2 [17.9] years); 3271 patients (15.8%) died in the hospital. Mortality rates were 19.1% in March and April, 11.9% in May and June, 11.0% in July and August, and 10.8% in September through November. Compared with March and April, the adjusted odds ratios for in-hospital death were significantly lower in May and June (odds ratio, 0.66; 95% CI, 0.58-0.76; P, This cohort study of patients included in the US American Heart Association COVID-19 Cardiovascular Disease Registry evaluates whether any changes in the in-hospital COVID-19 mortality rates during the first 9 months of the pandemic are associated with individual characteristics of patients with COVID-19.

Background To improve patient outcomes, the Center for Medicare and Medicaid Services (CMS) implemented core measures that outline the initial treatment of the septic patient. These measures include initial blood culture collection prior to antibiotics, adequate intravenous fluid resuscitation, and early administration of broad spectrum antibiotics. We sought to determine if Paramedics can initiate the CMS sepsis core measure bundle in the prehospital field reliably. Methods This is a retrospective, case series from a 3rd service EMS system model in Greenville, South Carolina between November 17, 2014 and February 20, 2016. An adult Prehospital Sepsis Assessment Tool was created using the 2012 Surviving Sepsis guidelines: 2 of 3 signs of systemic inflammatory response (heart rate, respiratory rate, oral temperature) and a known or suspected source of infection. A "Sepsis Alert" was called by paramedics and upon IV access a set of blood cultures and blood for lactate analysis was collected prior to field antibiotic administration. The Sepsis Alert was compared to serum lactate levels and ICD 9 or 10 admitting diagnosis of Sepsis, Severe Sepsis, or Septic Shock. Blood culture contamination, serum lactate, and antibiotic match were determined by in-hospital laboratory analysis. Results A total of 120 trained paramedics called 1,185 "Sepsis Alerts" on 56,643 patients (50.3% Male, mean age 70). Patients with missing discharge diagnosis were eliminated (n = 31). The admitting diagnosis of sepsis overall was 73.5% (848/1154): Sepsis 50% (578/1154), Severe Sepsis 14.6% (169/1154), Septic Shock 8.9% (101/1154). A total of 946 blood cultures were collected in the prehospital setting, with a 95.04% (899/946) no contamination rate. Contamination was found in 4.96% (47/946). A total of 179 (18.9%) of the uncontaminated blood cultures were found to have positive growth with 720 (76.1%) having no growth. EMS administered antibiotics matched blood culture positive growth in 72% of patients. The lactate level was greater than 2.2 in 46.9% of patients. No adverse effects were reported after prehospital administration of antibiotics. Conclusion This study demonstrates the successful implementation of an EMS-driven CMS Sepsis Core Measure bundle in the prehospital setting. Paramedics can acquire uncontaminated blood cultures, and safely administer antibiotics prior to hospital arrival among patients who were recognized as sepsis alerts.