SARS-CoV-2 Is a Culprit for Some, but Not All Acute Ischemic Strokes: A Report from the Multinational COVID-19 Stroke Study Group.
COVID-19
SARS-CoV-2
cerebrovascular disorders
cluster analysis
comorbidity
risk factors
stroke
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
01 Mar 2021
01 Mar 2021
Historique:
received:
16
01
2021
revised:
11
02
2021
accepted:
16
02
2021
entrez:
3
4
2021
pubmed:
4
4
2021
medline:
4
4
2021
Statut:
epublish
Résumé
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 investigated whether the comorbidities and their frequencies under each subclass of TOAST criteria were similar to the AIS population studies prior to the pandemic. 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 addition, 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). 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. 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.
Sections du résumé
BACKGROUND
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 investigated whether the comorbidities and their frequencies under each subclass of TOAST criteria were similar to the AIS population studies prior to the pandemic.
METHODS
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 addition, 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
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
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.
Identifiants
pubmed: 33804307
pii: jcm10050931
doi: 10.3390/jcm10050931
pmc: PMC7957755
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
Am J Cardiol. 2020 Sep 15;131:1-6
pubmed: 32732010
Am J Cardiol. 2020 Nov 1;134:152-153
pubmed: 32873370
Stroke. 2017 Mar;48(3):574-580
pubmed: 28196938
J Neurol. 2020 Nov;267(11):3161-3165
pubmed: 32583054
J Stroke Cerebrovasc Dis. 2013 Jan;22(1):32-5
pubmed: 22078780
Syst Rev. 2015 Jan 01;4:1
pubmed: 25554246
J Am Heart Assoc. 2020 Nov 17;9(22):e018379
pubmed: 33023348
Ann Vasc Surg. 2020 Aug;67:10-13
pubmed: 32474145
Diabetes Metab Syndr. 2020 Sep - Oct;14(5):1133-1142
pubmed: 32663789
Stroke. 2017 Feb;48(2):479-481
pubmed: 28082668
Int J Surg. 2014 Dec;12(12):1495-9
pubmed: 25046131
N Engl J Med. 2020 May 14;382(20):e60
pubmed: 32343504
J Neurol. 2020 Aug;267(8):2185-2192
pubmed: 32436105
J Stroke Cerebrovasc Dis. 2020 Dec;29(12):105288
pubmed: 32992199
Stroke. 2021 Jan;52(2):716-721
pubmed: 33356382
Am J Nephrol. 2019;50(4):229-239
pubmed: 31461699
Funct Neurol. 2012 Jan-Mar;27(1):35-40
pubmed: 22687165
J Stroke Cerebrovasc Dis. 2020 Dec;29(12):105321
pubmed: 33069086
Stroke. 2020 Dec;51(12):3570-3576
pubmed: 33106109
J Neurol Neurosurg Psychiatry. 2020 Aug;91(8):889-891
pubmed: 32354768
Stroke. 2020 Aug;51(8):2540-2543
pubmed: 32466736
Circ Res. 2017 Feb 3;120(3):472-495
pubmed: 28154098
N Engl J Med. 2020 Aug 13;383(7):691-693
pubmed: 32427432
Stroke. 2020 Jul;51(7):2002-2011
pubmed: 32432996
Lancet Psychiatry. 2020 Oct;7(10):875-882
pubmed: 32593341
JAMA. 2011 Nov 23;306(20):2248-54
pubmed: 22081378
Int J Stroke. 2021 Feb;16(2):137-149
pubmed: 33103610
Crit Care Med. 2017 May;45(5):790-797
pubmed: 28296811
J Neuroradiol. 2020 Sep;47(5):393-394
pubmed: 32389423
ESC Heart Fail. 2021 Feb;8(1):333-343
pubmed: 33283476
Stroke. 2020 Sep;51(9):e254-e258
pubmed: 32787707
JACC Case Rep. 2020 Jul 15;2(9):1291-1296
pubmed: 32835270
Stroke. 2008 Jul;39(7):1945-51
pubmed: 18436869
Eur J Neurol. 2020 Sep;27(9):e38-e39
pubmed: 32503080
Stroke. 1993 Jan;24(1):35-41
pubmed: 7678184
N Engl J Med. 2020 Apr 23;382(17):e38
pubmed: 32268022
Cureus. 2020 Jun 3;12(6):e8426
pubmed: 32642342
Med Clin (Barc). 2020 Aug 28;155(4):188
pubmed: 32517888
Stroke. 2016 Apr;47(4):943-50
pubmed: 26917565
J Stroke Cerebrovasc Dis. 2020 Feb;29(2):104503
pubmed: 31818680
Lancet Public Health. 2020 Oct;5(10):e536-e542
pubmed: 32950075
EBioMedicine. 2020 Sep;59:102939
pubmed: 32818804
Int J Stroke. 2020 Oct;15(7):733-742
pubmed: 32501751