COVID-19 Infection Is Associated with Poor Outcomes in Patients with Intracerebral Hemorrhage Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1101/2023.05.03.23289488
Background Patients with ischemic stroke and concomitant coronavirus 2019 (COVID-19) infection have worse outcomes than those without this infection. However, research on the impact of COVID-19 infection on outcomes following hemorrhagic stroke remains limited. We aim to study whether concomitant COVID-19 infection leads to worse outcomes in spontaneous intracerebral hemorrhage (ICH). Design We conducted an observational study using data from Get With The Guidelines® Stroke, an ongoing, multi-center, nationwide quality assurance registry. Methods We implemented a two-stage design: first, we compared outcomes of ICH patients with and without COVID-19 infection admitted during the pandemic (from March 2020 to February 2021). Second, we compared the same outcomes between ICH patients admitted before (March 2019 to February 2020) and during (March 2020 and February 2021) the pandemic. Main outcomes were poor functional outcome (defined as a modified Rankin Scale of 4 to 6 [mRS] at discharge), mortality and discharge to skilled nursing facility (SNF) or hospice. Results The first stage included 60,091 COVID-19-negative and 1,326 COVID-19-positive ICH patients. In multivariable analyses, ICH patients with versus without COVID-19 infection had 68% higher odds of poor outcome (OR 1.68, 95%CI 1.41-2.01), 51% higher odds of mortality (OR 1.51, CI 1.33-1.71) and 66% higher odds of being discharged to a SNF/hospice (OR 1.66, 95%CI 1.43-1.93). The second stage included 62,743 pre-pandemic and 64,681 intra-pandemic ICH cases. In multivariable analyses, ICH patients admitted during versus before the COVID-19 pandemic had a 10% higher odds of poor outcome (OR 1.10, 95%CI 1.07-1.14), 5% higher mortality (OR 1.05, 95%CI 1.02-1.08) and no significant difference in the risk of being discharged to SNF/hospice (OR 0.93, 95%CI 0.90-0.95). Conclusions The pathophysiology of the COVID-19 infection and changes in healthcare delivery during the pandemic played a role in worsening outcomes in this patient population. Further research is needed to identify these factors and understand their effect on the long-term outcome.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.05.03.23289488
- https://www.medrxiv.org/content/medrxiv/early/2023/05/05/2023.05.03.23289488.full.pdf
- OA Status
- green
- Cited By
- 1
- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4372348862Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2023.05.03.23289488Digital Object Identifier
- Title
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COVID-19 Infection Is Associated with Poor Outcomes in Patients with Intracerebral HemorrhageWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-05-05Full publication date if available
- Authors
-
Daniela Renedo, Audrey C. Leasure, Rebecca Young, Cyprien Rivier, Brooke Alhanti, Brian Mac Grory, Steven R. Messé, Matthew Reeves, Ameer E Hassan, Lee H. Schwamm, Adam de Havenon, Charles Matouk, Kevin N. Sheth, Guido J. FalconeList of authors in order
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https://doi.org/10.1101/2023.05.03.23289488Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2023/05/05/2023.05.03.23289488.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2023/05/05/2023.05.03.23289488.full.pdfDirect OA link when available
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Medicine, Intracerebral hemorrhage, Concomitant, Modified Rankin Scale, Odds ratio, Pandemic, Stroke (engine), Coronavirus disease 2019 (COVID-19), Internal medicine, Odds, Observational study, Emergency medicine, Intensive care medicine, Logistic regression, Subarachnoid hemorrhage, Disease, Ischemic stroke, Infectious disease (medical specialty), Mechanical engineering, Ischemia, EngineeringTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| citation_normalized_percentile.value | 0.55823017 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |