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Stroke in Coronavirus Disease 2019: A Systematic Review.
Bhatia, Rohit; Pedapati, Radhakrishna; Komakula, Snigdha; Srivastava, M V Padma; Vishnubhatla, Sreenivas; Khurana, Dheeraj.
  • Bhatia R; Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.
  • Pedapati R; Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.
  • Komakula S; Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.
  • Srivastava MVP; Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.
  • Vishnubhatla S; Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
  • Khurana D; Department of Neurology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
J Stroke ; 22(3): 324-335, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-854517
Semantic information from SemMedBD (by NLM)
1. Cerebrovascular accident COEXISTS_WITH COVID-19
Subject
Cerebrovascular accident
Predicate
COEXISTS_WITH
Object
COVID-19
2. Cerebrovascular accident PROCESS_OF Patients
Subject
Cerebrovascular accident
Predicate
PROCESS_OF
Object
Patients
3. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
4. Blood Vessel LOCATION_OF risk factors
Subject
Blood Vessel
Predicate
LOCATION_OF
Object
risk factors
5. Symptoms PROCESS_OF Patients
Subject
Symptoms
Predicate
PROCESS_OF
Object
Patients
6. High Level PROCESS_OF Patients
Subject
High Level
Predicate
PROCESS_OF
Object
Patients
7. Cerebrovascular accident COEXISTS_WITH COVID-19
Subject
Cerebrovascular accident
Predicate
COEXISTS_WITH
Object
COVID-19
8. Cerebrovascular accident PROCESS_OF Patients
Subject
Cerebrovascular accident
Predicate
PROCESS_OF
Object
Patients
9. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
10. Blood Vessel LOCATION_OF risk factors
Subject
Blood Vessel
Predicate
LOCATION_OF
Object
risk factors
11. Symptoms PROCESS_OF Patients
Subject
Symptoms
Predicate
PROCESS_OF
Object
Patients
12. High Level PROCESS_OF Patients
Subject
High Level
Predicate
PROCESS_OF
Object
Patients
ABSTRACT
BACKGROUND AND

PURPOSE:

Various neurological findings including stroke in patients with coronavirus disease 2019 (COVID-19) have been described, although no clarity exists regarding the nature and pattern of this association. This systematic review aims to report the characteristics of stroke in patients with COVID-19.

METHODS:

Three authors independently searched Web of Science, Embase, Scopus, and PubMed starting from inception up to May 22, 2020. The data for individual patients was extracted where available from published reports including clinical and laboratory parameters and analysed for any significant associations between variables.

RESULTS:

We identified 30 relevant articles involving 115 patients with acute or subacute stroke with COVID-19. The mean±standard deviation age was 62.5±14.5 years. Stroke was ischemic in majority of the patients (101 [87.8%]). Hypertension (42 [42%]), dyslipidaemia (24 [26.1%]), and diabetes (23 [23.2%]) were the major vascular risk factors. Most of the patients (80 [85.1%]) had COVID-19 symptoms at the time of stroke with a median interval of 10 days to stroke from the diagnosis of COVID-19. Three-fourths (86 [74.8%]) of the patients were critically ill which frequently delayed the diagnosis of stroke. High levels of D-dimer, and ferritin were observed in these patients. Patients with COVID-19 and stroke had a high mortality (47.9%). Factors associated with mortality were intensive care unit admission, having two or more vascular risk factors, particularly smoking and high levels of D-dimer, C-reactive protein, and lactate dehydrogenase.

CONCLUSIONS:

The association between stroke and COVID-19 is probably multifactorial including an amalgamation of traditional vascular risk factors, proinflammatory and a prothrombotic state. Prospectively collected data is required in the future to confirm this hypothesis.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Reviews / Risk factors / Systematic review Language: English Journal: J Stroke Year: 2020 Document Type: Article Affiliation country: Jos.2020.02264

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Reviews / Risk factors / Systematic review Language: English Journal: J Stroke Year: 2020 Document Type: Article Affiliation country: Jos.2020.02264