CovidSeniorV1, Main, Exploration, bibRecord, 000040

Incidence and Risk Factors of Deep Vein Thrombosis in Hospitalized COVID-19 Patients.

Identifieur interne : 000040 ( Main/Exploration ); précédent : 000039; suivant : 000041

Incidence and Risk Factors of Deep Vein Thrombosis in Hospitalized COVID-19 Patients.

Auteurs : Yuan Yu [République populaire de Chine] ; Jie Tu [République populaire de Chine] ; Bingxin Lei [République populaire de Chine] ; Huaqing Shu [République populaire de Chine] ; Xiaojing Zou [République populaire de Chine] ; Ruiting Li [République populaire de Chine] ; Chaolin Huang [République populaire de Chine] ; Yali Qu [République populaire de Chine] ; You Shang [République populaire de Chine]

Source :

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis [ 1938-2723 ]

RBID : pubmed:32854513

Descripteurs français

KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Anticoagulants (usage thérapeutique), Chine (MeSH), Couverture médicale d'affection préexistante (MeSH), Facteurs de risque (MeSH), Femelle (MeSH), Hospitalisation (MeSH), Humains (MeSH), Incidence (MeSH), Indice de gravité de la maladie (MeSH), Infections à coronavirus (diagnostic), Infections à coronavirus (thérapie), Infections à coronavirus (épidémiologie), Modèles logistiques (MeSH), Mortalité hospitalière (tendances), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (thérapie), Pneumopathie virale (épidémiologie), Sujet âgé (MeSH), Thrombose veineuse (imagerie diagnostique), Thrombose veineuse (traitement médicamenteux), Thrombose veineuse (épidémiologie), Unités de soins intensifs (statistiques et données numériques), Échographie-doppler (méthodes), Études de cohortes (MeSH), Études rétrospectives (MeSH).
MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- imagerie diagnostique : Thrombose veineuse.
- méthodes : Échographie-doppler.
- statistiques et données numériques : Unités de soins intensifs.
- tendances : Mortalité hospitalière.
- thérapie : Infections à coronavirus, Pneumopathie virale.
- traitement médicamenteux : Thrombose veineuse.
- usage thérapeutique : Anticoagulants.
- épidémiologie : Infections à coronavirus, Pneumopathie virale, Thrombose veineuse.
- Adulte, Adulte d'âge moyen, Chine, Couverture médicale d'affection préexistante, Facteurs de risque, Femelle, Hospitalisation, Humains, Incidence, Indice de gravité de la maladie, Modèles logistiques, Mâle, Pandémies, Sujet âgé, Études de cohortes, Études rétrospectives.
Wicri :
- geographic : République populaire de Chine.

English descriptors

KwdEn :
- Adult (MeSH), Aged (MeSH), Anticoagulants (therapeutic use), China (MeSH), Cohort Studies (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (therapy), Female (MeSH), Hospital Mortality (trends), Hospitalization (MeSH), Humans (MeSH), Incidence (MeSH), Intensive Care Units (statistics & numerical data), Logistic Models (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (therapy), Preexisting Condition Coverage (MeSH), Retrospective Studies (MeSH), Risk Factors (MeSH), Severity of Illness Index (MeSH), Ultrasonography, Doppler (methods), Venous Thrombosis (diagnostic imaging), Venous Thrombosis (drug therapy), Venous Thrombosis (epidemiology).
MESH :
- chemical , therapeutic use : Anticoagulants.
- geographic : China.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- diagnostic imaging : Venous Thrombosis.
- drug therapy : Venous Thrombosis.
- epidemiology : Coronavirus Infections, Pneumonia, Viral, Venous Thrombosis.
- methods : Ultrasonography, Doppler.
- statistics & numerical data : Intensive Care Units.
- therapy : Coronavirus Infections, Pneumonia, Viral.
- trends : Hospital Mortality.
- Adult, Aged, Cohort Studies, Female, Hospitalization, Humans, Incidence, Logistic Models, Male, Middle Aged, Pandemics, Preexisting Condition Coverage, Retrospective Studies, Risk Factors, Severity of Illness Index.

Abstract

Deep vein thrombosis (DVT) is prevalent in patients with coronavirus disease 2019 (COVID-19). However, the risk factors and incidence rate of DVT remains elusive. Here, we aimed to assess the incidence rate and risk factors of DVT. All patients diagnosed with COVID-19 and performed venous ultrasound by ultrasound deparment between December 2019 and April 2020 in Wuhan Jin Yin-tan hospital were enrolled. Demographic information and clinical features were retrospectively collected. Notably, a comparison between the DVT and the non-DVT groups was explored. The incidence rate of venous thrombosis was 35.2% (50 patients out of 142). Moreover, the location of thrombus at the proximal extremity veins was 5.6% (n = 8), while at distal extremity veins was 35.2% (n = 50) of the patients. We also noted that patients with DVT exhibited a high level of D-dimer (OR 10.9 (95% CI, 3.3-36.0), P < 0.001), were admitted to the intensive care unit (OR 6.5 (95% CI, 2.1-20.3), P = 0.001), a lower usage of the anticoagulant drugs (OR 3.0 (95% CI, 1.1-7.8), P < 0.001). Finally, this study revealed that a high number of patients with COVID-19 developed DVT. This was observed particularly in critically ill patients with high D-dimer levels who required no anticoagulant medication.

DOI: 10.1177/1076029620953217
PubMed: 32854513
PubMed Central: PMC7457409

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000456
to stream Main, to step Curation: 000456

Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Anticoagulants (therapeutic use)</term>
<term>China (MeSH)</term>
<term>Cohort Studies (MeSH)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (epidemiology)</term>
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<term>Pneumonia, Viral (therapy)</term>
<term>Preexisting Condition Coverage (MeSH)</term>
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<term>Venous Thrombosis (drug therapy)</term>
<term>Venous Thrombosis (epidemiology)</term>
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<term>Adulte d'âge moyen (MeSH)</term>
<term>Anticoagulants (usage thérapeutique)</term>
<term>Chine (MeSH)</term>
<term>Couverture médicale d'affection préexistante (MeSH)</term>
<term>Facteurs de risque (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Hospitalisation (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Indice de gravité de la maladie (MeSH)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (thérapie)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Modèles logistiques (MeSH)</term>
<term>Mortalité hospitalière (tendances)</term>
<term>Mâle (MeSH)</term>
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<keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Coronavirus Infections</term>
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<term>Aged</term>
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<term>Logistic Models</term>
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<front><div type="abstract" xml:lang="en">Deep vein thrombosis (DVT) is prevalent in patients with coronavirus disease 2019 (COVID-19). However, the risk factors and incidence rate of DVT remains elusive. Here, we aimed to assess the incidence rate and risk factors of DVT. All patients diagnosed with COVID-19 and performed venous ultrasound by ultrasound deparment between December 2019 and April 2020 in Wuhan Jin Yin-tan hospital were enrolled. Demographic information and clinical features were retrospectively collected. Notably, a comparison between the DVT and the non-DVT groups was explored. The incidence rate of venous thrombosis was 35.2% (50 patients out of 142). Moreover, the location of thrombus at the proximal extremity veins was 5.6% (n = 8), while at distal extremity veins was 35.2% (n = 50) of the patients. We also noted that patients with DVT exhibited a high level of D-dimer (OR 10.9 (95% CI, 3.3-36.0), <i>P</i>
 < 0.001), were admitted to the intensive care unit (OR 6.5 (95% CI, 2.1-20.3), <i>P</i>
 = 0.001), a lower usage of the anticoagulant drugs (OR 3.0 (95% CI, 1.1-7.8), <i>P</i>
 < 0.001). Finally, this study revealed that a high number of patients with COVID-19 developed DVT. This was observed particularly in critically ill patients with high D-dimer levels who required no anticoagulant medication.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32854513</PMID>
<DateCompleted><Year>2020</Year>
<Month>09</Month>
<Day>16</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>16</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1938-2723</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>26</Volume>
<PubDate><MedlineDate>2020 Jan-Dec</MedlineDate>
</PubDate>
</JournalIssue>
<Title>Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis</Title>
<ISOAbbreviation>Clin Appl Thromb Hemost</ISOAbbreviation>
</Journal>
<ArticleTitle>Incidence and Risk Factors of Deep Vein Thrombosis in Hospitalized COVID-19 Patients.</ArticleTitle>
<Pagination><MedlinePgn>1076029620953217</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1177/1076029620953217</ELocationID>
<Abstract><AbstractText>Deep vein thrombosis (DVT) is prevalent in patients with coronavirus disease 2019 (COVID-19). However, the risk factors and incidence rate of DVT remains elusive. Here, we aimed to assess the incidence rate and risk factors of DVT. All patients diagnosed with COVID-19 and performed venous ultrasound by ultrasound deparment between December 2019 and April 2020 in Wuhan Jin Yin-tan hospital were enrolled. Demographic information and clinical features were retrospectively collected. Notably, a comparison between the DVT and the non-DVT groups was explored. The incidence rate of venous thrombosis was 35.2% (50 patients out of 142). Moreover, the location of thrombus at the proximal extremity veins was 5.6% (n = 8), while at distal extremity veins was 35.2% (n = 50) of the patients. We also noted that patients with DVT exhibited a high level of D-dimer (OR 10.9 (95% CI, 3.3-36.0), <i>P</i>
 < 0.001), were admitted to the intensive care unit (OR 6.5 (95% CI, 2.1-20.3), <i>P</i>
 = 0.001), a lower usage of the anticoagulant drugs (OR 3.0 (95% CI, 1.1-7.8), <i>P</i>
 < 0.001). Finally, this study revealed that a high number of patients with COVID-19 developed DVT. This was observed particularly in critically ill patients with high D-dimer levels who required no anticoagulant medication.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yu</LastName>
<ForeName>Yuan</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tu</LastName>
<ForeName>Jie</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Ultrasound Department, Jin Yin-tan Hospital, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lei</LastName>
<ForeName>Bingxin</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Ultrasound Department, Jin Yin-tan Hospital, Wuhan, China.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Shu</LastName>
<ForeName>Huaqing</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Zou</LastName>
<ForeName>Xiaojing</ForeName>
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<AffiliationInfo><Affiliation>Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Ruiting</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Huang</LastName>
<ForeName>Chaolin</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Jin Yin-tan Hospital, Wuhan, China.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Qu</LastName>
<ForeName>Yali</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Ultrasound Department, Jin Yin-tan Hospital, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
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<ForeName>You</ForeName>
<Initials>Y</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0003-4097-6131</Identifier>
<AffiliationInfo><Affiliation>Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Clin Appl Thromb Hemost</MedlineTA>
<NlmUniqueID>9508125</NlmUniqueID>
<ISSNLinking>1076-0296</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000925">Anticoagulants</NameOfSubstance>
</Chemical>
</ChemicalList>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000925" MajorTopicYN="N">Anticoagulants</DescriptorName>
<QualifierName UI="Q000627" MajorTopicYN="Y">therapeutic use</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015331" MajorTopicYN="N">Cohort Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017052" MajorTopicYN="N">Hospital Mortality</DescriptorName>
<QualifierName UI="Q000639" MajorTopicYN="Y">trends</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName>
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<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
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<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
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</MeshHeading>
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<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D064266" MajorTopicYN="N">Preexisting Condition Coverage</DescriptorName>
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<MeshHeading><DescriptorName UI="D018608" MajorTopicYN="N">Ultrasonography, Doppler</DescriptorName>
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<Keyword MajorTopicYN="N">ultrasound</Keyword>
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Incidence and Risk Factors of Deep Vein Thrombosis in Hospitalized COVID-19 Patients.

Incidence and Risk Factors of Deep Vein Thrombosis in Hospitalized COVID-19 Patients.

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