Predictors of In-Hospital Mortality Among Patients with COVID-19 Related Stroke
| Autor: | Airat R. Rakhmatullin, Mansur A. Kutlubaev, Amir T. Khayrullin |
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| Jazyk: | English<br />Russian |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Анналы клинической и экспериментальной неврологии, Vol 17, Iss 2, Pp 16-21 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2075-5473 2409-2533 |
| DOI: | 10.54101/ACEN.2023.2.2 |
| Popis: | Introduction. COVID-19-related stroke is associated with a significantly higher mortality than COVID-19 or stroke alone. Mechanisms underlying the increased mortality of patients with stroke and COVID-19 should be thoroughly studied. Objective: to analyze predictors of hospital mortality associated with COVID-19-related stroke. Materials and methods. We retrospectively analyzed 1,386 cases of COVID-19-related stroke reported by an infectious diseases inpatient clinic in 2020. We studied clinical, laboratory, and instrumental parameters in patients with different outcomes. Logistic regression was used to identify independent predictors of mortality. Results. 539 (38.9%) patients died during their hospital stay, with 437 (38.0%) deaths from ischemic stroke and 102 (42.7%) deaths from hemorrhagic stroke (p = 0.0001). Independent predictors of mortality associated with COVID-19-related stroke included age, neurological deficit severity measured by NIHSS, COVID-19 severity, and laboratory parameters including white blood cell count, creatinine, glucose, and D-dimer blood levels. Discussion. The results of logistic regression analysis were able to explain only 41% of the variability in hospital deaths among patients with stroke associated with COVID-19. Conclusion. Hospital mortality in patients with COVID-19-related stroke is associated with severity of inflammatory response, impaired coagulation, age, neurological deficit severity, and somatic comorbidities. |
| Databáze: | Directory of Open Access Journals |
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