Biomarkers of Coagulation and Inflammation in COVID-19-Associated Ischemic Stroke.

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Altered mental status in COVID-19.

BACKGROUND: Altered mental status (AMS) is a common neurological manifestation of COVID-19 infection in hospitalized patients. The principal causes of AMS have yet to be determined. We aimed to identify the common causes of AMS in patients with COVID-19 presenting to the emergency department with AMS on arrival. METHODS: We conducted a retrospective observational study of patients presenting with AMS to three New York hospitals, from March 1 to April 16, 2020. Underlying causes of AMS on arrival to the emergency department (ED) were categorized as (1) neurological causes (stroke, seizure, encephalitis); (2) metabolic encephalopathy; (3) indeterminant. Multivariable analysis was used to assess independent predictors. RESULTS: Overall, 166 patients presented to the ED with AMS. Metabolic encephalopathy was diagnosed as the cause in 154 (92.8%), with 118 (71.1%) categorized as multifactorial ME and 36 (21.7%) with single-cause ME. Hypoxia 103 (62.0%) and renal failure 75 (45.2%) were the most common underlying mechanisms. Neurological causes of AMS occurred in a total 20 patients (12%) and as the sole factor in 5 (3.0%); 10 (6.0%) cases were seizure related and 10 (6.0%) were cerebrovascular events. Of the 7 patients with indeterminant causes, only 1 was suspicious for encephalitis (0.6%). Age, pre-existing dementia and cerebrovascular disease, and impaired renal function were independent predictors of AMS. CONCLUSION: In patients with COVID-19, AMS on presentation to the ED is most frequently caused by metabolic encephalopathy (delirium). Seizures and cerebrovascular events contribute to a lesser degree; encephalitis appears rare.

Neurologic Syndromes Predict Higher In-Hospital Mortality in COVID-19.

OBJECTIVE: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is protean in its manifestations, affecting nearly every organ system. However, nervous system involvement and its effect on disease outcome are poorly characterized. The objective of this study was to determine whether neurologic syndromes are associated with increased risk of inpatient mortality. METHODS: A total of 581 hospitalized patients with confirmed SARS-CoV-2 infection, neurologic involvement, and brain imaging were compared to hospitalized non-neurologic patients with coronavirus disease 2019 (COVID-19). Four patterns of neurologic manifestations were identified: acute stroke, new or recrudescent seizures, altered mentation with normal imaging, and neuro-COVID-19 complex. Factors present on admission were analyzed as potential predictors of in-hospital mortality, including sociodemographic variables, preexisting comorbidities, vital signs, laboratory values, and pattern of neurologic manifestations. Significant predictors were incorporated into a disease severity score. Patients with neurologic manifestations were matched with patients of the same age and disease severity to assess the risk of death. RESULTS: A total of 4,711 patients with confirmed SARS-CoV-2 infection were admitted to one medical system in New York City during a 6-week period. Of these, 581 (12%) had neurologic issues of sufficient concern to warrant neuroimaging. These patients were compared to 1,743 non-neurologic patients with COVID-19 matched for age and disease severity admitted during the same period. Patients with altered mentation (n = 258, p = 0.04, odds ratio [OR] 1.39, confidence interval [CI] 1.04-1.86) or radiologically confirmed stroke (n = 55, p = 0.001, OR 3.1, CI 1.65-5.92) had a higher risk of mortality than age- and severity-matched controls. CONCLUSIONS: The incidence of altered mentation or stroke on admission predicts a modest but significantly higher risk of in-hospital mortality independent of disease severity. While other biomarker factors also predict mortality, measures to identify and treat such patients may be important in reducing overall mortality of COVID-19.

Utility of Apical Lung Assessment on Computed Tomography Angiography as a COVID-19 Screen in Acute Stroke.

BACKGROUND AND PURPOSE: Evaluation of the lung apices using computed tomography angiography of the head and neck during acute ischemic stroke (AIS) can provide the first objective opportunity to screen for coronavirus disease 2019 (COVID-19). METHODS: We performed an analysis assessing the utility of apical lung exam on computed tomography angiography for COVID-19-specific lung findings in 57 patients presenting with AIS. We measured the diagnostic accuracy of apical lung assessment alone and in combination with patient-reported symptoms and incorporate both to propose a COVID-19 era AIS algorithm. RESULTS: Apical lung assessment when used in isolation, yielded a sensitivity of 0.67, specificity of 0.93, positive predictive value of 0.19, negative predictive value of 0.99, and accuracy of 0.92 for the diagnosis of COVID-19, in patients presenting to the hospital for AIS. When combined with self-reported clinical symptoms of cough or shortness of breath, sensitivity of apical lung assessment improved to 0.83. CONCLUSIONS: Apical lung assessment on computed tomography angiography is an accurate screening tool for COVID-19 and can serve as part of a combined screening approach in AIS.

The effect of race on composite thrombotic events in patients with COVID-19.

COVID-19 associated coagulopathy and mortality related to thrombotic complications have been suggested as biological mediators in racial disparities related to COVID-19. We studied the adjusted prevalence of acute ischemic stroke, pulmonary embolism, myocardial infarction, and deep venous thrombosis stratified by race in hospitalized patients in one New York City borough during the local COVID-19 surge. The multi-racial cohort included 4299 patients hospitalized with COVID-19, 9% of whom were white, 40% black, 41% Hispanic and 10% Asian or other. We found a 6.1% prevalence of composite thrombotic events. There were no significant race-specific differences in thrombotic events when adjusting for basic demographics, socioeconomic factors, medical comorbidities or biomarkers using a stepwise regression model. We therefore found no evidence that the racial disparities related to COVID-19, and specifically thrombotic complications, are caused by biological differences in race.

Predictors of mortality for patients with COVID-19 and large vessel occlusion.

BACKGROUND: This study evaluates the mortality risk of patients with emergent large vessel occlusion (ELVO) and COVID-19 during the pandemic. METHODS: We performed a retrospective cohort study of two cohorts of consecutive patients with ELVO admitted to a quaternary hospital from March 1 to April 17, 2020. We abstracted data from electronic health records on baseline, biomarker profiles, key time points, quality measures and radiographic data. RESULTS: Of 179 patients admitted with ischemic stroke, 36 had ELVO. Patients with COVID-19 and ELVO had a higher risk of mortality during the pandemic versus patients without COVID-19 (OR 16.63, p = 0.004). An age-based sub-analysis showed in-hospital mortality in 60% of COVID-19 positive patients between 61-70 years-old, 66.7% in between 51-60 years-old, 50% in between 41-50 years-old and 33.3% in between 31-40 years old. Patients that presented with pulmonary symptoms at time of stroke presentation had 71.4% mortality rate. 27.3% of COVID-19 patients presenting with ELVO had a good outcome at discharge (mRS 0-2). Patients with a history of cigarette smoking (p = 0.003), elevated d-dimer (p = 0.007), failure to recanalize (p = 0.007), and elevated ferritin levels (p = 0.006) had an increased risk of mortality. CONCLUSION: Patients with COVID-19 and ELVO had a significantly higher risk for mortality compared to COVID-19 negative patients with ELVO. A small percentage of COVID-19 ELVO patients had good outcomes. Age greater than 60 and pulmonary symptoms at presentation have higher risk for mortality. Other risk factors for mortality were a history of cigarette smoking, elevated, failure to recanalize, elevated d-dimer and ferritin levels.

The effect of COVID-19 on stroke hospitalizations in New York City.

BACKGROUND: Little is known about the effect of the Coronavirus disease 2019 pandemic on stroke care and the impact of the epidemic on acute stroke hospitalizations has not been described. METHODS: We analyze the stroke admission rate in three hospitals in New York City from January 1, 2020 through April 17, 2020, identifying all cases of acute ischemic stroke, intraparenchymal hemorrhage and subarachnoid hemorrhage. RESULTS: We confirmed 518 cases of out-of-hospital stroke. During the baseline period up to February 25, 2020, the daily stroke admission rate was stable, with the slope of the regression describing the number of admissions over time equal to -0.33 (se = 1.21), not significantly different from 0 (p = 0.79), with daily admissions averaging 41. During the pandemic period, the slope was -4.4 (se = 1.00); i.e., the number of stroke admissions decreased an average of 4.4 per week, (p = 0.005), with weekly admissions averaging 23, a reduction of 44% versus baseline. This general result was not different by patient age, sex, or race/ethnicity. CONCLUSIONS: The weekly stroke admission rate started declining two weeks prior to the local surge of coronavirus admissions. The consequences of lack of diagnosis and treatment of a large proportion of acute stroke patients are likely severe and lasting.