Incidence, risk factors, and clinical impact of major bleeding in hospitalized patients with COVID-19: a sub-analysis of the CLOT-COVID Study Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1186/s12959-022-00414-x
Background The coronavirus disease 2019 (COVID-19) causes extensive coagulopathy and a potential benefit of anticoagulation therapy has been documented for prevention of thromboembolic events. Bleeding events has also been reported as a notable complication; whereas, the incidence, risks, and clinical impact of bleeding remain unclear. Method The CLOT-COVID Study was a nationwide, retrospective, multicenter cohort study on consecutive hospitalized patients with COVID-19 in Japan between April 2021 and September 2021. In this sub-analysis, we compared the characteristics of patients with and without major bleeding; moreover, we examined the risk factors for and clinical impact of bleeding events. Results Among 2882 patients with COVID-19, 57 (2.0%) had major bleeding. The incidence of major bleeding increased with COVID-19 severity as follows: 0.5%, 2.3%, and 12.3% in patients with mild, moderate, and severe COVID-19, respectively. COVID-19 severity, history of major bleeding, and anticoagulant type/dose were independently and additively associated with the bleeding incidence. Compared with patients without major bleeding, those with major bleeding exhibited a longer duration of hospitalization (9 [6–14] vs 28 [19–43] days, P < 0.001) and higher mortality during hospitalization (4.9% vs. 35.1%, P < 0.001). Conclusions In the real-world clinical practice, the incidence of major bleeding was not uncommon, especially in patients with severe COVID-19. Independent risk factors for major bleeding included history of major bleeding, COVID-19 severity, and anticoagulant use, which could be associated with poor clinical outcomes including higher mortality. Precise recognition of the risks for bleeding may be helpful for an optimal use of anticoagulants and for better outcomes in patients with COVID-19.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12959-022-00414-x
- https://thrombosisjournal.biomedcentral.com/counter/pdf/10.1186/s12959-022-00414-x
- OA Status
- gold
- Cited By
- 13
- References
- 46
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4296416907Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s12959-022-00414-xDigital Object Identifier
- Title
-
Incidence, risk factors, and clinical impact of major bleeding in hospitalized patients with COVID-19: a sub-analysis of the CLOT-COVID StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-20Full publication date if available
- Authors
-
Junichi Nakamura, Ichizo Tsujino, Sen Yachi, Makoto Takeyama, Yuji Nishimoto, Satoshi Konno, Naoto Yamamoto, Hiroko Nakata, Satoshi Ikeda, Michihisa Umetsu, Shizu Aikawa, Hiroya Hayashi, Hirono Satokawa, Yoshinori Okuno, Eriko Iwata, Yoshito Ogihara, Nobutaka Ikeda, Akane Kondo, Takehisa Iwai, Norikazu Yamada, Tomohiro Ogawa, Takao Kobayashi, Makoto Mo, Yugo YamashitaList of authors in order
- Landing page
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https://doi.org/10.1186/s12959-022-00414-xPublisher landing page
- PDF URL
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https://thrombosisjournal.biomedcentral.com/counter/pdf/10.1186/s12959-022-00414-xDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://thrombosisjournal.biomedcentral.com/counter/pdf/10.1186/s12959-022-00414-xDirect OA link when available
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Medicine, Incidence (geometry), Coagulopathy, Retrospective cohort study, Coronavirus disease 2019 (COVID-19), Internal medicine, Anticoagulant, Severity of illness, Angiology, Surgery, Disease, Infectious disease (medical specialty), Optics, PhysicsTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2024: 5, 2023: 8Per-year citation counts (last 5 years)
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46Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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