Matched Cohort Study of Convalescent COVID-19 Plasma Treatment in Severely or Life Threateningly Ill COVID-19 Patients Article Swipe
Marc Klapholz
,
Sri Ram Pentakota
,
Juan-Pablo Zertuche
,
Marshall McKenna
,
Willy Roque
,
Mark Forsberg
,
Johnathan Packer
,
Devika S Lal
,
Lisa L. Dever
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1093/ofid/ofab001
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1093/ofid/ofab001
Background The utility of convalescent coronavirus disease 2019 (COVID-19) plasma (CCP) in the current pandemic is not well defined. We sought to evaluate the safety and efficacy of CCP in severely or life threateningly ill COVID-19 patients when matched with a contemporaneous cohort. Methods Patients with severe or life-threatening COVID-19 were treated with CCP according to Food and Drug Administration criteria, prioritization by an interdisciplinary team, and based on CCP availability. Individual-level matched controls (1:1) were identified from patients admitted during the prior month when no CCP was available. The safety outcome was freedom from adverse transfusion reaction, and the efficacy outcome was a composite of death or worsening O2 support. Demographic, clinical, and laboratory data were analyzed by univariate and multivariable regression analyses accounting for matched design. Results Study patients (n = 94, 47 matched pairs) were 62% male with a mean age of 58, and 98% (90/94) were minorities (53% Hispanic, 45% Black, non-Hispanic) in our inner-city population. Seven-day composite and mortality outcomes suggested a nonsignificant benefit in CCP-treated patients (adjusted hazard ratio [aHR], 0.70; 95% CI, 0.23–2.12; P = .52; aHR, 0.23; 95% CI, 0.04–1.51; P = .13, respectively). Stratification by pretransfusion mechanical ventilation status showed no differences between groups. No serious transfusion reactions occurred. Conclusions In this short-term matched cohort study, transfusion with CCP was safe and showed a nonsignificant association with study outcomes. Randomized and larger trials to identify appropriate timing and dosing of CCP in COVID-19 are warranted. Trial Registration ClinicalTrials.gov Identifier: NCT04420988.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/ofid/ofab001
- https://academic.oup.com/ofid/article-pdf/8/2/ofab001/36251140/ofab001.pdf
- OA Status
- gold
- Cited By
- 11
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3119190617
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3119190617Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/ofid/ofab001Digital Object Identifier
- Title
-
Matched Cohort Study of Convalescent COVID-19 Plasma Treatment in Severely or Life Threateningly Ill COVID-19 PatientsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-04Full publication date if available
- Authors
-
Marc Klapholz, Sri Ram Pentakota, Juan-Pablo Zertuche, Marshall McKenna, Willy Roque, Mark Forsberg, Johnathan Packer, Devika S Lal, Lisa L. DeverList of authors in order
- Landing page
-
https://doi.org/10.1093/ofid/ofab001Publisher landing page
- PDF URL
-
https://academic.oup.com/ofid/article-pdf/8/2/ofab001/36251140/ofab001.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/ofid/article-pdf/8/2/ofab001/36251140/ofab001.pdfDirect OA link when available
- Concepts
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Medicine, Cohort, Internal medicine, Hazard ratio, Adverse effect, Population, Mechanical ventilation, Dosing, Cohort study, Clinical trial, Univariate analysis, Confidence interval, Multivariate analysis, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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11Total citation count in OpenAlex
- Citations by year (recent)
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2023: 2, 2022: 2, 2021: 7Per-year citation counts (last 5 years)
- References (count)
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24Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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