Literature DB >> 34826678

Using Clinical and Echocardiographic Characteristics to Characterize the Risk of Ischemic Stroke in Patients with COVID-19.

Connor P Oates1, Solomon W Bienstock2, Michael Miller3, Gennaro Giustino2, Tatyana Danilov4, Nina Kukar5, Nikola Kocovic3, Dylan Sperling3, Ranbir Singh3, Daniel Benhuri4, Frans Beerkens3, Anton Camaj2, Stamatios Lerakis2, Lori Croft2, Laura K Stein6, Martin E Goldman2.   

Abstract

BACKGROUND: COVID-19 has been associated with an increased incidence of ischemic stroke. The use echocardiography to characterize the risk of ischemic stroke in patients hospitalized with COVID-19 has not been explored.
METHODS: We conducted a retrospective study of 368 patients hospitalized between 3/1/2020 and 5/31/2020 who had laboratory-confirmed infection with SARS-CoV-2 and underwent transthoracic echocardiography during hospitalization. Patients were categorized according to the presence of ischemic stroke on cerebrovascular imaging following echocardiography. Ischemic stroke was identified in 49 patients (13.3%). We characterized the risk of ischemic stroke using a novel composite risk score of clinical and echocardiographic variables: age <55, systolic blood pressure >140 mmHg, anticoagulation prior to admission, left atrial dilation and left ventricular thrombus.
RESULTS: Patients with ischemic stroke had no difference in biomarkers of inflammation and hypercoagulability compared to those without ischemic stroke. Patients with ischemic stroke had significantly more left atrial dilation and left ventricular thrombus (48.3% vs 27.9%, p = 0.04; 4.2% vs 0.7%, p = 0.03). The unadjusted odds ratio of the composite novel COVID-19 Ischemic Stroke Risk Score for the likelihood of ischemic stroke was 4.1 (95% confidence interval 1.4-16.1). The AUC for the risk score was 0.70.
CONCLUSIONS: The COVID-19 Ischemic Stroke Risk Score utilizes clinical and echocardiographic parameters to robustly estimate the risk of ischemic stroke in patients hospitalized with COVID-19 and supports the use of echocardiography to characterize the risk of ischemic stroke in patients hospitalized with COVID-19.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COVID-19; Echocardiography; Ischemic stroke; Risk score; Stroke prevention

Mesh:

Year:  2021        PMID: 34826678      PMCID: PMC8572704          DOI: 10.1016/j.jstrokecerebrovasdis.2021.106217

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


Introduction

Coronavirus disease 2019 (Covid-19) caused by infection with SARS-CoV-2 has been associated with a variety of systemic complications resulting in substantial morbidity and mortality. Early case series identified an elevated incidence of ischemic stroke in patients with COVID-19.2, 3, 4 In retrospective studies, ischemic stroke has been identified in 0.5-5.8% of patients hospitalized with COVID-19.5, 6, 7, 8, 9, 10 Infection with COVID-19 has been independently associated with acute ischemic stroke compared with control subjects and the severity of COVID-19 syndrome correlates with risk acute stroke. , The likelihood of ischemic stroke is markedly higher in patients hospitalized with COVID-19 infection compared with controls hospitalized with influenza infection. The pathophysiology underlying the association between ischemic stroke and COVID-19 is an area of active investigation. Infection alone has previously been identified as a risk factor for acute stroke. COVID-19 has also been associated with endothelial damage, microvascular thrombi formation, immune-modulated cytokine-release syndrome, arrhythmia and myocardial dysfunction that may all contribute to the burden of ischemic stroke.14, 15, 16 The limited pathophysiological understanding of the relationship between COVID-19 and ischemic stroke has not yet translated into serologic, radiographic or clinical markers that robustly characterize the risk of ischemic stroke in patients with COVID-19. Etiology of ischemic stroke in several small cohorts of patients with COVID-19 has been estimated utilizing the gold standard TOAST classification system. Most of the COVID related ischemic strokes have been classified as either cardioembolic (14.3-40%) or strokes of undetermined source (35.0-42.8%) with a minority of strokes from small vessel occlusion (6-21.4%), stroke of other determined etiology (7.2-20%) and stroke from large-artery atherosclerosis (6-14.3%). , , 18, 19 The evaluation of risk factors for developing ischemic stroke has been limited in prior reports by the scarcity of echocardiographic studies in patients with COVID-19. In part, this has been due to a concerted effort to minimize exposure of healthcare workers, including echocardiographers, to patients with COVID-19. Thus, we characterized stroke in a cohort of patients with COVID-19 who underwent comprehensive cardiovascular imaging with transthoracic echocardiography (TTE) to identify risk factors for the development of ischemic stroke.

Methods

Study design

We conducted a multicenter study with retrospective data collection of hospitalized patients with confirmed SARS-CoV-2 infection with polymerase chain reaction assay of nasal or pharyngeal swab specimens who underwent a formal TTE evaluation during their index hospitalization at Mount Sinai Hospital, Mount Sinai Beth Israel, Mount Sinai West, Mount Sinai Queens or Elmhurst Hospital in New York City (United States) between March 2020 and May 2020. Patients who only had point-of-care cardiac ultrasound were not included in this study. Approval for the study, without the need for patient consent, was obtained from each center's respective institutional review board.

Data collection and endpoints

Data was collected from each center's electronic health record and included patient demographic information, presenting vital signs and symptoms, comorbidities, home medications, chest x-ray findings, electrocardiogram findings, laboratory values echocardiographic findings, computed tomography imaging (CT), magnetic resonance imaging (MRI), inpatient treatments received and in-hospital outcomes. Definitions and reference values used in data collection are reported in the Supplement. Patients were categorized according to the presence or absence of the diagnosis of acute or subacute ischemic stroke defined by CT or MRI during index hospitalization following echocardiographic exam. All patients were expressing neurologic deficits at the time of imaging. The etiology of all ischemic strokes was independently assessed by vascular neurologists based on the TOAST classification into large-artery atherosclerosis, cardioembolic, small-vessel occlusion, stroke of other determined etiology and stroke of undetermined etiology. A variable of COVID-19 clinical severity was also included in univariate analysis. Patient clinical severity was characterized as mild-moderate if requiring hospitalization, severe if a patient required mechanical ventilation and most severe if a patient required mechanical ventilation and suffered shock.

Statistical analysis and risk score

Descriptive statistics were used to summarize the data. Categorical variables were summarized as counts and percentages, and compared using chi-squared tests. Continuous variables were reported as medians and interquartile ranges, and compared using Wilcoxon rank-sum tests. A novel COVID-19 Ischemic Stroke Risk Score was developed using five variables associated with stroke that were identified with an unadjusted logistic regression model: (1) Age <55, (2) admission systolic blood pressure >140 mmHg, (3) anticoagulation prior to admission, (4) left atrial dilation defined as left atrial volume index (LAVI) >34 mL/m2 and (5) presence of left ventricular (LV) thrombus. The presence of each variable was weighed equally and assigned a value of plus-one, except for anticoagulation prior to admission, which was assigned a value of minus-one. The risk score was calculated as the sum of the aforementioned variables and evaluated as a predictor of ischemic stroke. Area under the receiver operating characteristic curve was calculated for each variable and for the risk score. Each model was internally validated using bootstrap resampling for 100 iterations. The mean difference between the bootstrap model values and the values from the full dataset were subtracted from the final reported area under the curve. Patients who were still hospitalized at the time of data freeze were regarded as having a censored length of stay. No imputation was made for missing data. All analyses were performed with the use of Stata software version 16.1.

Results

A total of 368 patients were admitted with COVID-19 at five hospital centers in New York City between 3/1/2020 – 5/31/2020 and met inclusion criteria for this study by undergoing a comprehensive TTE during index hospitalization. 64/368 (17.4%) of all patients suffered stroke during hospitalization and 49/368 (13.3%) patients were diagnosed with ischemic stroke. 15/368 (4.1%) of patients were diagnosed with hemorrhagic stroke and excluded from the study. 95.9% of patients with ischemic stroke underwent CT of the brain without contrast, 67.4% underwent CT angiography of the head/neck and 71.5% underwent MRI imaging of the brain. 71.4% of patients with ischemic stroke underwent active telemetry monitoring for an average of 16.1 ± 15.0 days. Ischemic stroke occurred in 49 of 368 (13.3%) patients with COVID-19 who underwent echocardiograms. Median age was 61 years and 65% of patients were male. Baseline clinical characteristics are summarized in Table 1 . Patients suffering ischemic stroke had higher baseline systolic blood pressure and diastolic blood pressure at admission compared to patients without ischemic stroke (143 vs 125 mmHg, p = <0.01; 80 vs 73 mmHg, p = <0.01) (Table 2 ). Patients with and without ischemic stroke had similar COVID-19 clinical severity when grouped into those with mild-moderate disease requiring admission, pulmonary disease requiring mechanical ventilation, and severe disease requiring mechanical ventilation and shock (p = 0.74). There was no significant difference in CHA2DS2VASC score between patients with and without ischemic stroke (p = 0.48). Peak lactate value was the only significant differences in laboratory characteristics between patients with and without ischemic stroke (2.5 vs 3.2 mmol/L, p = 0.01) (Table 2).
Table 1

Baseline characteristics of patients admitted with COVID-19.

Background CharacteristicsIschemic Stroke(n=49)No Ischemic Stroke(n=304)P-value
Age58 (49-68)61 (51-72)0.28
Male sex32 (65.3)207 (65.1)0.96
Race0.27
White18/42 (42.9)100/251 (39.8)
Black12/42 (28.6)51/251 (20.3)
Asian3/42 (7.1)46/251 (18.3)
Other9/42 (21.4)54/251 (21.5)
Hispanic ethnicity15/45 (33.3)111/281 (39.5)0.64
BMI27 (24-33)28 (25-33)0.66
Past Medical HistoryIschemic Stroke(n=49)No Ischemic Stroke(n=304)P-value
Hypertension28/49 (42.9)185/304 (60.9)0.64
Diabetes20/49 (40.8)127/304 (41.7)0.90
Coronary artery disease10/49 (20.4)53/304 (17.4)0.69
Prior myocardial infarction1/49 (2.0)15/302 (5.0)0.71
Prior stroke4/49 (8.2)19/304 (6.3)0.54
Chronic kidney disease5/49 (10.2)51/304 (16.8)0.30
End stage renal disease4/49 (8.2)26/304 (8.6)0.93
Anemia5/49 (10.2)48/304 (15.8)0.39
COPD2/49 (4.1)19/304 (6.3)0.79
Asthma6/49 (12.2)31/304 (10.2)0.67
Heart failure4/49 (8.2)31/304 (10.2)0.80
Atrial fibrillation3/49 (6.1)35/304 (11.5)0.33
Prior Medication UseIschemic Stroke(n=49)No Ischemic Stroke(n=304)P-value
ACE/ARB11/49 (22.5)75/302 (24.8)0.63
ARNI1/49 (2.0)1/302 (0.3)0.26
Beta Blocker11/49 (22.5)85/302 (28.2)0.49
Calcium Channel Blocker12/49 (24.5)72/302 (23.8)0.92
Diuretics6/49 (12.2)41/302 (13.6)0.80
Insulin7/49 (14.3)42/300 (13.9)0.95
Statin13/49 (26.5)115/302 (38.1)0.15
Aspirin15/49 (30.6)85/302 (28.2)0.73
Anticoagulation2/49 (4.1)36/302 (11.9)0.14
DOAC1/49 (2.0)32/303 (10.6)0.06
Anti-arrhythmic0/49 (0.0)10/303 (3.3)0.37
Immunosuppression2/49 (4.1)32/303 (10.6)0.20
Ischemic Stroke(n=49)No Ischemic Stroke(n=304)P-value
CHA2DS2VASC^0.58
07/49 (14.3)6/304 (1.9)
113/49 (26.5)53/304 (17.6)
29/49 (18.4)92/304 (30.1)
37/49 (14.3)90/304 (29.5)
48/49 (16.3)42/304 (13.8)
>/=55/49 (10.2)21/304 (7.2)
Mean CHA2DS2VASC2.32.50.48

Values are presented as median and interquartile range, as n and percentage or as a mean.

^Composite score including age 65-74, age >/=75, female sex, diabetes mellitus, hypertension, congestive heart failure, prior stroke and evidence of vascular disease

BMI = Body mass index, COPD = chronic obstructive pulmonary disease, ACE/ARB = ACE-Inhibitor/angiotensin receptor blocker, ARNI = angiotensin receptor–neprilysin inhibitors, DOAC = direct oral anticoagulant

Table 2

Clinical data and COVID-19 severity score.

Presenting VitalsIschemic Stroke (n=49)No Ischemic Stroke (n=304)P-value
Temperature, Celsius36.9 (37-38)37.0 (37-38)0.22
Systolic blood pressure143 (127-163)125 (112-142)<0.01
Diastolic blood pressure80 (70-90)73 (62-84)<0.01
Heart rate91 (83-100)101 (86-115)0.02
LabsIschemic Stroke(n=49)No Ischemic Stroke(n=304)P-value
Creatinine, peak1.3 (0.9-3.7)1.7 (1.0-4.7)0.18
White blood cells9.9 (7.4-13.3)8.7 (5.9-12.6)0.12
Platelets251 (197-330)225 (166-307)0.06
C-reactive protein, peak224 (92-319)223 (98-300)0.50
Interleukin 6, peak144 (69-517)118 (46-349)0.68
Lactate dehydrogenase, peak706 (395-1034)674 (437-987)0.88
Ferritin, peak1425 (589-3478)1612 (584-3426)0.84
D-dimer, baseline3.7 (1.5-15.1)3.4 (1.3-20.0)0.46
D-dimer, peak13.0 (3.1-20.0)12.1 (3.2-20.0)0.23
Lactate, peak2.5 (1.7-3.5)3.2 (2.2-5.1)0.01
Procalcitonin, peak0.9 (0.2-11.5)1.1 (0.2-5.4)0.92
Alanine aminotransferase, peak92 (42-186)69 (34-155)0.40
Troponin baseline, times above or below upper limit of normal0.75 (0.25-4.50)0.75 (0.25-3.25)0.48
Troponin peak, times above or below upper limit of normal3.75 (0.43-21.75)2.25 (0.50-17.70)0.89
Cardiac injury, baseline21/49 (42.9)128/319 (40.1)0.72
Cardiac injury, peak28/49 (57.1)201/319 (63.0)0.61
Hospital CourseIschemic Stroke(n=49)No Ischemic Stroke(n=304)P-value
Intensive Care Unit Admission35/49 (71.4)148/304 (48.7)<0.01
Pulmonary Embolism3/49 (6.1)22/303 (7.3)0.77
Atrial Arrhythmia9/49 (18.4)70/304 (22.9)0.47
Acute Kidney Injury24/49 (49.0)173/304 (56.9)0.35
Renal Replacement Therapy10/49 (20.4)80/303 (26.4)0.67
Shock19/49 (38.8)138/304 (45.4)0.75
Acute Respiratory Distress Syndrome19/49 (38.8)131/304 (43.1)0.35
Intubation25/49 (51.0)129/300 (43.0)0.32
Days on Mechanical Ventilation10 (4-30)7 (1-23)0.40
Length of Stay17 (7-41)13 (6-28)0.13
Death12/49 (24.5)87/302 (28.8)0.61
Days to Death19 (11-36)15 (9-26)0.32
Ischemic Stroke(n=49)No Ischemic Stroke(n=304)P-value
COVID-19 Clinical Severity0.74
Mild-Moderate Disease23/49 (46.9)155/304 (50.9)
Required Mechanical Ventilation8/18 (16.3)38/304 (12.6)
Required Mechanical Ventilation and Suffered Shock18/49 (36.7)111/304 (36.5)

Values are presented as a median and interquartile range or as n and percentage.

Baseline characteristics of patients admitted with COVID-19. Values are presented as median and interquartile range, as n and percentage or as a mean. ^Composite score including age 65-74, age >/=75, female sex, diabetes mellitus, hypertension, congestive heart failure, prior stroke and evidence of vascular disease BMI = Body mass index, COPD = chronic obstructive pulmonary disease, ACE/ARB = ACE-Inhibitor/angiotensin receptor blocker, ARNI = angiotensin receptor–neprilysin inhibitors, DOAC = direct oral anticoagulant Clinical data and COVID-19 severity score. Values are presented as a median and interquartile range or as n and percentage. Patients with ischemic strokes had an average of 4.2 ± 4.1 days of COVID-19 related symptoms prior to presentation, and 40.8% of these patients presented with focal neurologic deficits. Patients were diagnosed with an ischemic stroke an average of 8.4 days ± 5.2 after expressing their first symptoms of COVID-19. Compared to patients without ischemic stroke, significantly more patients with ischemic stroke required an intensive care unit (71.4 vs 48.7%, p = <0.01) and the mean length of hospital stay for patients with ischemic stroke discharged from the hospital was 25.1 days ± 21.4. After subgrouping according to TOAST classification, 59.2% of ischemic strokes were identified as cryptogenic, 28.6% were cardioembolic, 4.1% were strokes of other determined etiologies, 4.1% were due to large-vessel atherosclerosis and 4.1% were due to small vessel occlusion. On TTE (Table 3 ), patients with ischemic stroke were found to have a median ejection fraction of 60.5%. Patients with ischemic stroke had significantly more left atrial dilation compared to patients without ischemic stroke (48.3% vs 27.9%, p = 0.04). Of patients with ischemic stroke who underwent TTE, 12.5% had hypocontractile wall motion abnormalities and 12.5% had global dysfunction. 12.5% of patients with ischemic stroke had increased right ventricular size and 18.8% had decreased right ventricular function while the median pulmonary artery systolic pressure was 26 mmHg. 30.4% of patients with ischemic stroke who underwent peripheral saline contrast injection had evidence of right to left intracardiac or intrapulmonary shunting which was not significantly more frequent compared to patients without ischemic stroke (30.4 vs 20%, p = 0.23). 42.9% of patients with ischemic strokes who had a positive shunt study also had global cardiac dysfunction, right ventricular dysfunction and/or right ventricular dilation (42.9 vs 0.0%, p = 0.26). Significantly more left ventricular thrombus was seen in patients with ischemic stroke (4.2 vs 0.6%, p = 0.03) and all patients with left ventricular thrombi had regional wall motion abnormalities.
Table 3

Transthoracic echocardiogram characteristics.

Ischemic Stroke (n=49)No Ischemic Stroke (n=304)P-value
Ejection fraction, %60 (54-65)60 (50-65)0.60
Left atrial volume index (mL/m2)30 (22-42)28 (21-38)0.33
Left atrial dilation14/29 (48.3)46/165 (27.9)0.04
Left ventricular end diastolic volume (mL)106 (86-129)104 (80-133)0.74
Left ventricular end systolic volume (mL)40 (29-57)43 (30-62)0.71
Diastolic dysfunction25/49 (51.0)155/304 (51.1)0.99
Aortic regurgitation6/48 (12.5)35/292 (11.9)0.92
Aortic stenosis1/48 (2.1)15/292 (5.1)0.71
Mitral regurgitation11/48 (22.9)89/295 (30.2)0.39
Tricuspid regurgitation14/48 (29.2)132/296 (44.6)0.06
Wall motion abnormalities6/48 (12.5)41/298 (13.8)0.81
Global dysfunction6/48 (12.5)36/299 (12.0)0.84
Left ventricular thrombus2/48 (4.2)2/299 (0.7)0.03
Pericardial effusion2/48 (4.2)26/299 (8.7)0.27
Right ventricular size, increased6/48 (12.5)76/296 (25.7)0.05
Right ventricular function, abnormal9/48 (18.8)76/296 (25.7)0.37
Positive shunt study7/23 (30.4)1/5 (20.0)0.23
Positive shunt study + presence of global dysfunction, RV dilation or RV dysfunction3/7 (42.9)0/2 (0.0)0.26

Values are presented as a median and interquartile range or as n and percentage. All units of measure are listed in the supplement.

Transthoracic echocardiogram characteristics. Values are presented as a median and interquartile range or as n and percentage. All units of measure are listed in the supplement. The COVID-19 Ischemic Stroke Risk Score was created based on five practical clinical variables that have been associated with ischemic stroke using a logistic regression model (Table 4 ). The unadjusted odds ratio of the composite risk score on the likelihood of ischemic stroke was 4.1 (95% confidence interval 1.4-16.1). The risk score was a significant predictor at the highest confidence level (p<0.01). The AUC for the risk score was 0.70 (Figure 1 ). With each integer increase in risk score (e.g., 2 to 3), the percentage of patients who experienced an ischemic stroke increased linearly by more than 20%. This trend was highly significant (p<0.01) (Figure 2 ).
Table 4

COVID-19 ischemic stroke risk score.

Ischemic Stroke (n=49)No Ischemic Stroke (n=304)Odds Ratio (95% CI)P-Value
Age <5520/49 (40.8)93/304 (30.6)1.6 (0.8-3.0)0.16
SBP >14041/49 (83.7)179/304 (58.9)2.8 (1.2-6.5)<0.01
Prior Anticoagulation2/49 (4.1)36/302 (11.9)0.2 (0.0-1.7)0.14
Left Atrial Dilation14/29 (48.3)46/165 (27.9)2.4 (1.0-5.9)0.04
Left Ventricular Thrombus2/49 (4.2)2/299 (0.7)6.8 (0.5-95.7)0.02
1.410.884.1 (1.4-16.1)<0.01

COVID-19 Stroke Risk Score: composite value formed by the sum of five dichotomous variables assigned values of +1 (age <55, SBP >140 mmHg, left atrial dilation, left ventricular thrombus) and -1 (prior anticoagulation). Values are presented as an odds ratio and 95% confidence interval.

Fig. 1

Receiver Operator Characteristic Curve for COVID-19 Ischemic Stroke Risk Score, A receiver operator characteristic curve analysis demonstrating the diagnostic accuracy of the COVID-19 Ischemic Stroke Risk Score with the area under the curve calculated to be 0.6981.

Fig. 2

Incidence of Ischemic Stroke per COVID-19 Ischemic Stroke Risk Score, A graph demonstrating the incidence of ischemic stroke with each integer increase in the COVID-19 Ischemic Stroke Risk Score within our cohort of patients hospitalized with COVID-19 who underwent transthoracic echocardiography.

COVID-19 ischemic stroke risk score. COVID-19 Stroke Risk Score: composite value formed by the sum of five dichotomous variables assigned values of +1 (age <55, SBP >140 mmHg, left atrial dilation, left ventricular thrombus) and -1 (prior anticoagulation). Values are presented as an odds ratio and 95% confidence interval. Receiver Operator Characteristic Curve for COVID-19 Ischemic Stroke Risk Score, A receiver operator characteristic curve analysis demonstrating the diagnostic accuracy of the COVID-19 Ischemic Stroke Risk Score with the area under the curve calculated to be 0.6981. Incidence of Ischemic Stroke per COVID-19 Ischemic Stroke Risk Score, A graph demonstrating the incidence of ischemic stroke with each integer increase in the COVID-19 Ischemic Stroke Risk Score within our cohort of patients hospitalized with COVID-19 who underwent transthoracic echocardiography.

Discussion

Though a hypercoagulable state, systemic endothelial inflammation with cytokine storm and underlying cardiomyopathy have been proposed as primary mechanisms of ischemic stroke in COVID-19, we found laboratory markers of inflammation (CRP, LDH, IL-6, ferritin, procalcitonin) and hypercoagulability (d-dimer) to be elevated in most patients affected by COVID-19 with no significant differences between patients with and without ischemic stroke. Neither inflammation of the cerebrovasculature nor hypercoagulability resulting in microthrombi can fully account for the incidence of ischemic strokes in our population. Similarly, the burden of traditional risk factors for stroke prior to hospitalization and measures of illness severity, reflected in the CHA2DS2VASC score and COVID-19 clinical severity score, respectively, were similar in COVID-19 patients with and without ischemic stroke. None of these variables added power to the COVID-19 Ischemic Stroke Risk Score and were not included in the model. Meanwhile, there is substantial evidence mounting that severe COVID-19 infection is associated with myocardial injury, cardiovascular dysfunction and new onset arrhythmias.21, 22 To our knowledge, no prior studies have included echocardiograms to document cardiac involvement and establish the role of echocardiography in ischemic stroke in patients hospitalized with COVID-19. To prospectively identify patients with COVID-19 at risk for ischemic stroke, we created a novel composite COVID-19 Ischemic Stroke Risk Score to risk stratify patients within our cohort based on several clinical observations and echocardiographic findings that have been previously associated with ischemic stroke. Left atrial dilation and the presence of LV thrombus are recognized risk factors for ischemic stroke that were observed to occur with greater frequency in patients who had ischemic stroke in our population.23, 24, 25 The burden of ischemic stroke in patients less than 55 years of age in our population is congruent with the observation that incidence of ischemic stroke, particularly large vessel occlusive stroke, has occurred with higher incidence in younger patients with COVID-19 compared to controls. An elevated admission systolic blood pressure, defined in this study as >140 mmHg, was significantly higher in patients with ischemic stroke despite diagnosis of ischemic stroke occurring a median 7 days (1-17) from admission and was also included. Lastly, we chose to treat anticoagulation prior to admission as a protective factor in our risk score given the burden of cardioembolic stroke in our population, evolving evidence of COVID-19 induced hypercoagulability and a numerically greater percentage of patient without ischemic stroke who were prescribed anticoagulation prior to admission. Independent of traditional laboratory markers of hypercoagulability or a severely inflammatory state, the composite COVID-19 Ischemic Stroke Risk Score allows for robust risk stratification of patients hospitalized with COVID-19. This is not a simple reflection of the burden of cardioembolic stroke in our population and reinforces the complex pathophysiology of ischemic stroke. It has been hypothesized that COVID-19 can cause catastrophic endothelial dysfunction that manifests clinically as ischemic stroke, pulmonary embolus, deep vein thrombosis and myocardial dysfunction.27, 28 It is possible that abnormalities visualized on an echocardiogram can indicate severity of gross endothelial dysfunction from COVID-19 that has proven challenging to quantify using non-specific serologic markers such as interleukin 6 (IL-6) or qualify with characteristics of illness severity such as need for mechanical ventilation. There are several limitations to this study. Not all stroke patients with COVID during the study time period received an echocardiogram. Dhamoon et al. identified a 1.9% incidence of stroke in all patients admitted across the same medical system. In this study period, 60.5% of all patients discharged with a diagnosis of ischemic stroke in the health system received an echocardiogram. While all patients that underwent a neurological work-up for ischemic stroke at participating hospitals included a comprehensive TTE, in-hospital mortality at these institutions was high during the study course and resources for more thorough cerebrovascular testing were limited. We have no data on any out-of-hospital cardiac monitoring that patients have undergone following ischemic stroke. Additionally, despite identifying patients from a large heterogeneous health system, the sample size of patients with ischemic stroke is modest and we have not validated the proposed risk score in a prospective population. Lastly, the study of COVID-19 is a rapidly advancing field and research design has been hampered by a scarcity of prospective and randomized data. We look forward to the results of the many active clinical trials that are aimed to guide management of antithrombotic therapy in patients with COVID-19, cardiovascular disease and ischemic stroke.29, 30

Conclusion

In the face of concerted efforts to minimize exposure of medical personnel, including echocardiographers, to COVID-19, our findings underscore the clinical importance of echocardiography to characterize a patient's risk for ischemic stroke. We believe that our findings support the routine use of echocardiography in patients with COVID-19 to characterize the risk of ischemic stroke and suggest that the COVID-19 Ischemic Stroke Risk Score can be utilized to aid patient risk stratification and clinical decision-making. Connor Oates and Solomon W. Bienstock participated in data collection, data analysis and drafting of the article. Michael Miller participated in data analysis and critical revision of the article. Tatyana Danilov, Nina Kukar, Nikola Kocovic, Dylan Sperling, Ranbir Singh, Daniel Benhuri, Frans Beerkens and Anton Camaj participated in data collection and critical revision of the article. Gennaro Giustino, Stamatios Lerakis, Lori Croft, Laura K. Stein and Martin E. Goldman participated in concept/design and critical revision of the article.
  31 in total

1.  Increased risk of acute stroke among patients with severe COVID-19: a multicenter study and meta-analysis.

Authors:  T Siepmann; A Sedghi; E Simon; S Winzer; J Barlinn; K de With; L Mirow; M Wolz; T Gruenewald; P Schroettner; S von Bonin; L-P Pallesen; B Rosengarten; J Schubert; T Lohmann; J Machetanz; P Spieth; T Koch; S Bornstein; H Reichmann; V Puetz; K Barlinn
Journal:  Eur J Neurol       Date:  2020-10-16       Impact factor: 6.089

Review 2.  Infection as a Stroke Risk Factor and Determinant of Outcome After Stroke.

Authors:  Mitchell S V Elkind; Amelia K Boehme; Craig J Smith; Andreas Meisel; Marion S Buckwalter
Journal:  Stroke       Date:  2020-09-08       Impact factor: 7.914

3.  Left atrial function in patients with COVID-19 and its association with incident atrial fibrillation/flutter.

Authors:  Erin Goerlich; Anum Minhas; Nisha Gilotra; Andreas S Barth; Monica Mukherjee; Allyson Parziale; Katherine C Wu; Allison G Hays
Journal:  J Am Soc Echocardiogr       Date:  2021-05-31       Impact factor: 5.251

4.  SARS-CoV-2 and Stroke in a New York Healthcare System.

Authors:  Shadi Yaghi; Koto Ishida; Jose Torres; Brian Mac Grory; Eytan Raz; Kelley Humbert; Nils Henninger; Tushar Trivedi; Kaitlyn Lillemoe; Shazia Alam; Matthew Sanger; Sun Kim; Erica Scher; Seena Dehkharghani; Michael Wachs; Omar Tanweer; Frank Volpicelli; Brian Bosworth; Aaron Lord; Jennifer Frontera
Journal:  Stroke       Date:  2020-05-20       Impact factor: 7.914

5.  ASE Statement on Protection of Patients and Echocardiography Service Providers During the 2019 Novel Coronavirus Outbreak: Endorsed by the American College of Cardiology.

Authors:  James N Kirkpatrick; Carol Mitchell; Cynthia Taub; Smadar Kort; Judy Hung; Madhav Swaminathan
Journal:  J Am Coll Cardiol       Date:  2020-04-06       Impact factor: 24.094

Review 6.  Coronavirus Disease 2019 and the Cerebrovascular-Cardiovascular Systems: What Do We Know So Far?

Authors:  Anthony S Larson; Luis Savastano; Ramanathan Kadirvel; David F Kallmes; Ameer E Hassan; Waleed Brinjikji
Journal:  J Am Heart Assoc       Date:  2020-05-12       Impact factor: 5.501

7.  Stroke in patients with SARS-CoV-2 infection: case series.

Authors:  Mauro Morassi; Daniele Bagatto; Milena Cobelli; Serena D'Agostini; Gian Luigi Gigli; Claudio Bnà; Alberto Vogrig
Journal:  J Neurol       Date:  2020-05-20       Impact factor: 6.682

8.  Neurologic Features in Severe SARS-CoV-2 Infection.

Authors:  Julie Helms; Stéphane Kremer; Hamid Merdji; Raphaël Clere-Jehl; Malika Schenck; Christine Kummerlen; Olivier Collange; Clotilde Boulay; Samira Fafi-Kremer; Mickaël Ohana; Mathieu Anheim; Ferhat Meziani
Journal:  N Engl J Med       Date:  2020-04-15       Impact factor: 91.245

Review 9.  Mechanisms of Stroke in COVID-19.

Authors:  J David Spence; Gabriel R de Freitas; L Creed Pettigrew; Hakan Ay; David S Liebeskind; Carlos S Kase; Oscar H Del Brutto; Graeme J Hankey; Narayanaswamy Venketasubramanian
Journal:  Cerebrovasc Dis       Date:  2020-07-20       Impact factor: 2.762

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