Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
Sars-Cov-2 Is a Culprit for Some, But Not All Acute Ischemic Strokes: A Report From the Multinational Covid-19 Stroke Study Group Publisher



Shahjouei S1 ; Anyaehie M1 ; Koza E2 ; Tsivgoulis G3 ; Naderi S4 ; Mowla A1, 5 ; Avula V1 ; Sadr AV6 ; Chaudhary D1 ; Farahmand G7 ; Griessenauer C1, 8 ; Azarpazhooh MR9 ; Misra D10 ; Li J11 Show All Authors
Authors
  1. Shahjouei S1
  2. Anyaehie M1
  3. Koza E2
  4. Tsivgoulis G3
  5. Naderi S4
  6. Mowla A1, 5
  7. Avula V1
  8. Sadr AV6
  9. Chaudhary D1
  10. Farahmand G7
  11. Griessenauer C1, 8
  12. Azarpazhooh MR9
  13. Misra D10
  14. Li J11
  15. Abedi V11, 12
  16. Zand R1

Source: Journal of Clinical Medicine Published:2021


Abstract

Background. SARS-CoV-2 infected patients are suggested to have a higher incidence of thrombotic events such as acute ischemic strokes (AIS). This study aimed at exploring vascular comorbidity patterns among SARS-CoV-2 infected patients with subsequent stroke. We also investi-gated whether the comorbidities and their frequencies under each subclass of TOAST criteria were similar to the AIS population studies prior to the pandemic. Methods. This is a report from the Multinational COVID-19 Stroke Study Group. We present an original dataset of SASR-CoV-2 infected patients who had a subsequent stroke recorded through our multicenter prospective study. In addi-tion, we built a dataset of previously reported patients by conducting a systematic literature review. We demonstrated distinct subgroups by clinical risk scoring models and unsupervised machine learning algorithms, including hierarchical K-Means (ML-K) and Spectral clustering (ML-S). Results. This study included 323 AIS patients from 71 centers in 17 countries from the original dataset and 145 patients reported in the literature. The unsupervised clustering methods suggest a distinct cohort of patients (ML-K: 36% and ML-S: 42%) with no or few comorbidities. These patients were more than 6 years younger than other subgroups and more likely were men (ML-K: 59% and ML-S: 60%). The majority of patients in this subgroup suffered from an embolic-appearing stroke on imaging (ML-K: 83% and ML-S: 85%) and had about 50% risk of large vessel occlusions (ML-K: 50% and ML-S: 53%). In addition, there were two cohorts of patients with large-artery atherosclerosis (ML-K: 30% and ML-S: 43% of patients) and cardioembolic strokes (ML-K: 34% and ML-S: 15%) with consistent comorbidity and imaging patterns. Binominal logistic regression demonstrated that ischemic heart disease (odds ratio (OR), 4.9; 95% confidence interval (CI), 1.6–14.7), atrial fibrillation (OR, 14.0; 95% CI, 4.8–40.8), and active neoplasm (OR, 7.1; 95% CI, 1.4–36.2) were associated with cardioembolic stroke. Conclusions. Although a cohort of young and healthy men with cardioembolic and large vessel occlusions can be distinguished using both clinical sub-grouping and unsupervised clustering, stroke in other patients may be explained based on the existing comorbidities. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Other Related Docs
4. Sars-Cov-2 and Acute Cerebrovascular Events: An Overview, Journal of Clinical Medicine (2021)
6. Covid-19 Infection and Stroke Risk, Reviews in the Neurosciences (2021)