| Literature DB >> 35203644 |
Rachel Triay1, Prabandh Buchhanolla2, Alexas Gaudet1, Victoria Winter1, Alexandra Gaudet1, Mehdi Faraji3, Eduardo Gonzalez-Toledo3, Harish Siddaiah4, Hugo H Cuellar-Saenz3, Steven Bailey5, Vijayakumar Javalkar2, Rosario Maria S Riel-Romero2, Roger E Kelley2, Felicity N E Gavins6, Junaid Ansari2.
Abstract
(1) Background: COVID-19 infection is responsible for the ongoing pandemic and acute cerebrovascular disease (CVD) has been observed in COVID-19 patients. (2)Entities:
Keywords: COVID-19; acute ischemic stroke; cerebrovascular disease; seizures; stroke
Year: 2022 PMID: 35203644 PMCID: PMC8962405 DOI: 10.3390/biomedicines10020435
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Demographic and clinical features of patients with CVD with and without COVID-19.
| COVID | Non-COVID | ||
|---|---|---|---|
| Age | 63 | 64 | 0.68 |
| Sex | |||
| Female | 10 (32%) | 15 (42%) | 0.37 |
| Male | 22 (68%) | 21 (58%) | 0.37 |
| Race | |||
| African American/Black | 18 (56%) | 26 (72%) | 0.68 |
| Caucasian/White | 6 (24%) | 9 (25%) | 0.68 |
| Other | 2 (8%) | 1 (3%) | 0.68 |
| Comorbidities | |||
| Hypertension | 22 (69%) | 33 (92%) | <0.001 |
| Hyperlipidemia | 10 (33%) | 18 (50%) | <0.001 |
| Diabetes | 9 (28%) | 12(33%) | <0.001 |
| Atrial fibrillation | 8 (25%) | 9 (25%) | 1.000 |
| Coronary artery disease | 5 (16%) | 7 (19%) | <0.001 |
| Smoking | 10 (31%) | 17 (47%) | 0.07 |
| Obesity | 12 (37%) | 14 (38.9) | 0.05 |
| Chronic kidney disease | 4 (13%) | 3(8.3%) | <0.001 |
| Malignancy | 3 (9%) | 2 (6%) | <0.001 |
| Clinical Features | |||
| Weakness | 27 (84%) | 30 (83%) | 0.02 |
| Impaired Consciousness | 14 (44%) | 5 (14%) | 0.001 |
| Dysarthria | 20 (62%) | 23 (64%) | 0.13 |
| Aphasia | 17 (53%) | 15 (42%) | 0.05 |
| Vision Impairment | 5 (16%) | 6 (17%) | 0.05 |
| Dizziness | 4 (12%) | 3 (8.3%) | 0.004 |
| Delirium | 6 (19%) | 0 (0%) | 0.001 |
| Seizures | 5 (16%) | 1 (3%) | 0.02 |
Figure 1Clinical Courses of CVD patients with (n = 32) and without (n = 36) COVID-19 infection. Patients diagnosed with CVD during acute COVID-19 infection had longer hospital stays, worse NIHSS at discharge, greater mortality, increased ICU admissions and ventilation. * All data are significant with p < 0.05.
Descriptive statistics of clinical outcomes of patients with CVD with and without COVID-19.
| COVID ( | Non-COVID | ||
|---|---|---|---|
| NIHinitial (mean) | 11.7 | 8.2 | 0.08 |
| NIHdischarge (mean) | 12.4 | 5.2 | 0.004 |
| NIHd (mean) | 2.5 | −3.0 | 0.01 |
| Days in Hospital (mean) | 13 | 5.2 | 0.002 |
| ICU admission | 19 (59%) | 12 (33%) | 0.04 |
| Ventilation | 10 (31.3%) | 1 (3%) | <0.001 |
| Outcomes | |||
| Recovered | 19 (60%) | 34 (94%) | 0.001 |
| Death | 13 (40%) | 2 (6%) | 0.001 |
NIHinitial: Initial NIH stroke scale; NIHdischarge: NIH stroke scale on discharge; NIHd: Change in NIH stroke scale from admission to discharge.
Laboratory features of patients with CVD with and without COVID-19.
| COVID | Non-COVID | ||
|---|---|---|---|
| WBC | 8.40 (±4.2) | 8.1 (±2.71) | 0.78 |
| ANC | 6.50 (±4.7 | 5.3 (±2.6) | 0.22 |
| ALC | 1.30 (±0.5) | 1.9 (±0.9) | 0.003 |
| NLR | 6.67 (±4.4) | 3.7 (±3.3) | 0.02 |
| Platelets | 260.5 (±106.2) | 258 (±78) | 0.91 |
| D-Dimer | 9792 (±19k) | NR | |
| CRP | 11.3 (±8.7) | NR | |
| Serum Creatinine | 2.3 (±2.3) | 1.1 (±0.5) | 0.006 |
| LDH | 460 (±232) | NR | |
| Ferritin | 2287 (±5244) | NR | |
| PT | 13.6 (±2.4) | 15 (±12) | 0.05 |
| INR | 1.20 (±0.21) | 1 (0.1) | 0.07 |
| APTT | 42 (±33) | 32 (±15) | 0.15 |
| TroponinMax | 0.08 (±0.16) | 0.02(±0.75) | 0.58 |
WBC: white blood count; ANC: absolute neutrophil count, ALC: absolute lymphocyte count, NLR: Neutrophil lymphocyte ratio; CRP: C-reactive protein, LDH: lactate dehydrogenase, PT: Prothrombin time, INR: International normalized ratio, APTT: activated partial thromboplastin time, NR: not reported.
Figure 2Neuroradiological manifestations of patients with CVD and acute COVID-19. (a) MRI FLAIR sequence with left basal ganglia and multifocal areas of ischemia. (b) MRI DWI image showing large left MCA territory infarct. (c) MRI FLAIR image of CVD in right basal ganglia (d) CTA image showing large clot in the internal carotid artery.
Figure 3Schematic description of proposed overview of the COVID-19-associated CVD pathogenesis. (A). Viral entry and cellular recruitment. The entry of severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) into the cerebrovascular system is followed by increased recruitment of neutrophils, platelets and erythrocytes. SARS-CoV2 binds to the ACE2 receptor expressed on the endothelial cells resulting in endothelial activation and cytokine release (cytokine storm). (B). Activation and propagation. Cytokines and SARS-CoV2 activate neutrophils to produce neutrophil extracellular traps which are laden with prothrombotic mediators such as neutrophil elastase, cathepsin G, histones (citH3), and coagulant factors (FV and FX). This also leads to activation of platelets. (C). Thrombosis. The subsequent responses consist of continuous accumulation of activated neutrophils, platelets and erythrocytes and engagement of coagulation cascade resulting in growing thrombi and fibrin scaffolds culminating in thrombosis and ischemic stroke. Some thrombi may detach and embolize to distal vessels. Endothelial cells are disrupted and damaged which increases the risk of intracerebral hemorrhage and transendothelial migration.