Acute kidney injury in patients hospitalized with COVID-19.
Identifieur interne : 000396 ( Main/Exploration ); précédent : 000395; suivant : 000397Acute kidney injury in patients hospitalized with COVID-19.
Auteurs : Jamie S. Hirsch [États-Unis] ; Jia H. Ng [États-Unis] ; Daniel W. Ross [États-Unis] ; Purva Sharma [États-Unis] ; Hitesh H. Shah [États-Unis] ; Richard L. Barnett [États-Unis] ; Azzour D. Hazzan [États-Unis] ; Steven Fishbane [États-Unis] ; Kenar D. Jhaveri [États-Unis]Source :
- Kidney international [ 1523-1755 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Atteinte rénale aigüe (virologie), Atteinte rénale aigüe (épidémiologie), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (complications), Infections à coronavirus (épidémiologie), Insuffisance respiratoire (complications), Insuffisance respiratoire (virologie), Mâle (MeSH), New York (ville) (épidémiologie), Pandémies (MeSH), Patients hospitalisés (statistiques et données numériques), Pneumopathie virale (complications), Pneumopathie virale (épidémiologie), Sujet âgé (MeSH), Études rétrospectives (MeSH).
- MESH :
- statistiques et données numériques : Patients hospitalisés.
- virologie : Atteinte rénale aigüe, Insuffisance respiratoire.
- épidémiologie : Atteinte rénale aigüe, Infections à coronavirus, Insuffisance respiratoire, New York (ville), Pneumopathie virale.
- Adulte d'âge moyen, Femelle, Humains, Mâle, Pandémies, Sujet âgé, Études rétrospectives.
English descriptors
- KwdEn :
- Acute Kidney Injury (epidemiology), Acute Kidney Injury (virology), Aged (MeSH), Coronavirus Infections (complications), Coronavirus Infections (epidemiology), Female (MeSH), Humans (MeSH), Inpatients (statistics & numerical data), Male (MeSH), Middle Aged (MeSH), New York City (epidemiology), Pandemics (MeSH), Pneumonia, Viral (complications), Pneumonia, Viral (epidemiology), Respiratory Insufficiency (complications), Respiratory Insufficiency (virology), Retrospective Studies (MeSH).
- MESH :
- geographic , epidemiology : New York City.
- complications : Coronavirus Infections, Pneumonia, Viral, Respiratory Insufficiency.
- epidemiology : Acute Kidney Injury, Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Inpatients.
- virology : Acute Kidney Injury, Respiratory Insufficiency.
- Aged, Female, Humans, Male, Middle Aged, Pandemics, Retrospective Studies.
Abstract
The rate of acute kidney injury (AKI) associated with patients hospitalized with Covid-19, and associated outcomes are not well understood. This study describes the presentation, risk factors and outcomes of AKI in patients hospitalized with Covid-19. We reviewed the health records for all patients hospitalized with Covid-19 between March 1, and April 5, 2020, at 13 academic and community hospitals in metropolitan New York. Patients younger than 18 years of age, with end stage kidney disease or with a kidney transplant were excluded. AKI was defined according to KDIGO criteria. Of 5,449 patients admitted with Covid-19, AKI developed in 1,993 (36.6%). The peak stages of AKI were stage 1 in 46.5%, stage 2 in 22.4% and stage 3 in 31.1%. Of these, 14.3% required renal replacement therapy (RRT). AKI was primarily seen in Covid-19 patients with respiratory failure, with 89.7% of patients on mechanical ventilation developing AKI compared to 21.7% of non-ventilated patients. 276/285 (96.8%) of patients requiring RRT were on ventilators. Of patients who required ventilation and developed AKI, 52.2% had the onset of AKI within 24 hours of intubation. Risk factors for AKI included older age, diabetes mellitus, cardiovascular disease, black race, hypertension and need for ventilation and vasopressor medications. Among patients with AKI, 694 died (35%), 519 (26%) were discharged and 780 (39%) were still hospitalized. AKI occurs frequently among patients with Covid-19 disease. It occurs early and in temporal association with respiratory failure and is associated with a poor prognosis.
DOI: 10.1016/j.kint.2020.05.006
PubMed: 32416116
PubMed Central: PMC7229463
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Acute Kidney Injury (virology)</term>
<term>Aged (MeSH)</term>
<term>Coronavirus Infections (complications)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Inpatients (statistics & numerical data)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>New York City (epidemiology)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (complications)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Respiratory Insufficiency (complications)</term>
<term>Respiratory Insufficiency (virology)</term>
<term>Retrospective Studies (MeSH)</term>
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<term>Atteinte rénale aigüe (épidémiologie)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (complications)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Insuffisance respiratoire (complications)</term>
<term>Insuffisance respiratoire (virologie)</term>
<term>Mâle (MeSH)</term>
<term>New York (ville) (épidémiologie)</term>
<term>Pandémies (MeSH)</term>
<term>Patients hospitalisés (statistiques et données numériques)</term>
<term>Pneumopathie virale (complications)</term>
<term>Pneumopathie virale (épidémiologie)</term>
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<term>Respiratory Insufficiency</term>
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<term>Pneumonia, Viral</term>
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<term>Insuffisance respiratoire</term>
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<front><div type="abstract" xml:lang="en">The rate of acute kidney injury (AKI) associated with patients hospitalized with Covid-19, and associated outcomes are not well understood. This study describes the presentation, risk factors and outcomes of AKI in patients hospitalized with Covid-19. We reviewed the health records for all patients hospitalized with Covid-19 between March 1, and April 5, 2020, at 13 academic and community hospitals in metropolitan New York. Patients younger than 18 years of age, with end stage kidney disease or with a kidney transplant were excluded. AKI was defined according to KDIGO criteria. Of 5,449 patients admitted with Covid-19, AKI developed in 1,993 (36.6%). The peak stages of AKI were stage 1 in 46.5%, stage 2 in 22.4% and stage 3 in 31.1%. Of these, 14.3% required renal replacement therapy (RRT). AKI was primarily seen in Covid-19 patients with respiratory failure, with 89.7% of patients on mechanical ventilation developing AKI compared to 21.7% of non-ventilated patients. 276/285 (96.8%) of patients requiring RRT were on ventilators. Of patients who required ventilation and developed AKI, 52.2% had the onset of AKI within 24 hours of intubation. Risk factors for AKI included older age, diabetes mellitus, cardiovascular disease, black race, hypertension and need for ventilation and vasopressor medications. Among patients with AKI, 694 died (35%), 519 (26%) were discharged and 780 (39%) were still hospitalized. AKI occurs frequently among patients with Covid-19 disease. It occurs early and in temporal association with respiratory failure and is associated with a poor prognosis.</div>
</front>
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<Title>Kidney international</Title>
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<ELocationID EIdType="pii" ValidYN="Y">S0085-2538(20)30532-9</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.kint.2020.05.006</ELocationID>
<Abstract><AbstractText>The rate of acute kidney injury (AKI) associated with patients hospitalized with Covid-19, and associated outcomes are not well understood. This study describes the presentation, risk factors and outcomes of AKI in patients hospitalized with Covid-19. We reviewed the health records for all patients hospitalized with Covid-19 between March 1, and April 5, 2020, at 13 academic and community hospitals in metropolitan New York. Patients younger than 18 years of age, with end stage kidney disease or with a kidney transplant were excluded. AKI was defined according to KDIGO criteria. Of 5,449 patients admitted with Covid-19, AKI developed in 1,993 (36.6%). The peak stages of AKI were stage 1 in 46.5%, stage 2 in 22.4% and stage 3 in 31.1%. Of these, 14.3% required renal replacement therapy (RRT). AKI was primarily seen in Covid-19 patients with respiratory failure, with 89.7% of patients on mechanical ventilation developing AKI compared to 21.7% of non-ventilated patients. 276/285 (96.8%) of patients requiring RRT were on ventilators. Of patients who required ventilation and developed AKI, 52.2% had the onset of AKI within 24 hours of intubation. Risk factors for AKI included older age, diabetes mellitus, cardiovascular disease, black race, hypertension and need for ventilation and vasopressor medications. Among patients with AKI, 694 died (35%), 519 (26%) were discharged and 780 (39%) were still hospitalized. AKI occurs frequently among patients with Covid-19 disease. It occurs early and in temporal association with respiratory failure and is associated with a poor prognosis.</AbstractText>
<CopyrightInformation>Copyright © 2020 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hirsch</LastName>
<ForeName>Jamie S</ForeName>
<Initials>JS</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Manhasset, New York, USA; Department of Information Services, Northwell Health, New Hyde Park, New York, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ng</LastName>
<ForeName>Jia H</ForeName>
<Initials>JH</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ross</LastName>
<ForeName>Daniel W</ForeName>
<Initials>DW</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sharma</LastName>
<ForeName>Purva</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Shah</LastName>
<ForeName>Hitesh H</ForeName>
<Initials>HH</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Barnett</LastName>
<ForeName>Richard L</ForeName>
<Initials>RL</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hazzan</LastName>
<ForeName>Azzour D</ForeName>
<Initials>AD</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fishbane</LastName>
<ForeName>Steven</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Jhaveri</LastName>
<ForeName>Kenar D</ForeName>
<Initials>KD</Initials>
<AffiliationInfo><Affiliation>Division of Kidney Diseases and Hypertension, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, New York, USA. Electronic address: kjhaveri@northwell.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><CollectiveName>Northwell COVID-19 Research Consortium</CollectiveName>
</Author>
<Author ValidYN="Y"><CollectiveName>Northwell Nephrology COVID-19 Research Consortium</CollectiveName>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D016448">Multicenter Study</PublicationType>
<PublicationType UI="D064888">Observational Study</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>05</Month>
<Day>16</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Kidney Int</MedlineTA>
<NlmUniqueID>0323470</NlmUniqueID>
<ISSNLinking>0085-2538</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D058186" MajorTopicYN="N">Acute Kidney Injury</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007297" MajorTopicYN="N">Inpatients</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009519" MajorTopicYN="N" Type="Geographic">New York City</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012131" MajorTopicYN="N">Respiratory Insufficiency</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">AKI</Keyword>
<Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">continuous RRT</Keyword>
<Keyword MajorTopicYN="Y">dialysis</Keyword>
<Keyword MajorTopicYN="Y">renal failure</Keyword>
</KeywordList>
<InvestigatorList><Investigator ValidYN="Y"><LastName>Abate</LastName>
<ForeName>Mersema</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Andrade</LastName>
<ForeName>Hugo Paz</ForeName>
<Initials>HP</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Barnett</LastName>
<ForeName>Richard L</ForeName>
<Initials>RL</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Bellucci</LastName>
<ForeName>Alessandro</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Bhaskaran</LastName>
<ForeName>Madhu C</ForeName>
<Initials>MC</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Corona</LastName>
<ForeName>Antonio G</ForeName>
<Initials>AG</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Chang</LastName>
<ForeName>Bessy Flores</ForeName>
<Initials>BF</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Finger</LastName>
<ForeName>Mark</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Fishbane</LastName>
<ForeName>Steven</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Gitman</LastName>
<ForeName>Michael</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Halinski</LastName>
<ForeName>Candice</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Hasan</LastName>
<ForeName>Shamir</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Hazzan</LastName>
<ForeName>Azzour D</ForeName>
<Initials>AD</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Hirsch</LastName>
<ForeName>Jamie S</ForeName>
<Initials>JS</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Hong</LastName>
<ForeName>Susana</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Jhaveri</LastName>
<ForeName>Kenar D</ForeName>
<Initials>KD</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Khanin</LastName>
<ForeName>Yuriy</ForeName>
<Initials>Y</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Kuan</LastName>
<ForeName>Aireen</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Madireddy</LastName>
<ForeName>Varun</ForeName>
<Initials>V</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Malieckal</LastName>
<ForeName>Deepa</ForeName>
<Initials>D</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Muzib</LastName>
<ForeName>Abdulrahman</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Nair</LastName>
<ForeName>Gayatri</ForeName>
<Initials>G</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Nair</LastName>
<ForeName>Vinay V</ForeName>
<Initials>VV</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ng</LastName>
<ForeName>Jia H</ForeName>
<Initials>JH</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Parikh</LastName>
<ForeName>Rushang</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ross</LastName>
<ForeName>Daniel W</ForeName>
<Initials>DW</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Sakhiya</LastName>
<ForeName>Vipulbhai</ForeName>
<Initials>V</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Sachdeva</LastName>
<ForeName>Mala</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Schwarz</LastName>
<ForeName>Richard</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Shah</LastName>
<ForeName>Hitesh H</ForeName>
<Initials>HH</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Sharma</LastName>
<ForeName>Purva</ForeName>
<Initials>P</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Singhal</LastName>
<ForeName>Pravin C</ForeName>
<Initials>PC</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Uppal</LastName>
<ForeName>Nupur N</ForeName>
<Initials>NN</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Wanchoo</LastName>
<ForeName>Rimda</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Bessy Suyin Flores Chang</LastName>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ng</LastName>
<ForeName>Jia Hwei</ForeName>
<Initials>JH</Initials>
</Investigator>
</InvestigatorList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>05</Month>
<Day>04</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>05</Month>
<Day>04</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>05</Month>
<Day>05</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>5</Month>
<Day>18</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>7</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>5</Month>
<Day>17</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32416116</ArticleId>
<ArticleId IdType="pii">S0085-2538(20)30532-9</ArticleId>
<ArticleId IdType="doi">10.1016/j.kint.2020.05.006</ArticleId>
<ArticleId IdType="pmc">PMC7229463</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>État de New York</li>
</region>
</list>
<tree><country name="États-Unis"><region name="État de New York"><name sortKey="Hirsch, Jamie S" sort="Hirsch, Jamie S" uniqKey="Hirsch J" first="Jamie S" last="Hirsch">Jamie S. Hirsch</name>
</region>
<name sortKey="Barnett, Richard L" sort="Barnett, Richard L" uniqKey="Barnett R" first="Richard L" last="Barnett">Richard L. Barnett</name>
<name sortKey="Fishbane, Steven" sort="Fishbane, Steven" uniqKey="Fishbane S" first="Steven" last="Fishbane">Steven Fishbane</name>
<name sortKey="Hazzan, Azzour D" sort="Hazzan, Azzour D" uniqKey="Hazzan A" first="Azzour D" last="Hazzan">Azzour D. Hazzan</name>
<name sortKey="Jhaveri, Kenar D" sort="Jhaveri, Kenar D" uniqKey="Jhaveri K" first="Kenar D" last="Jhaveri">Kenar D. Jhaveri</name>
<name sortKey="Ng, Jia H" sort="Ng, Jia H" uniqKey="Ng J" first="Jia H" last="Ng">Jia H. Ng</name>
<name sortKey="Ross, Daniel W" sort="Ross, Daniel W" uniqKey="Ross D" first="Daniel W" last="Ross">Daniel W. Ross</name>
<name sortKey="Shah, Hitesh H" sort="Shah, Hitesh H" uniqKey="Shah H" first="Hitesh H" last="Shah">Hitesh H. Shah</name>
<name sortKey="Sharma, Purva" sort="Sharma, Purva" uniqKey="Sharma P" first="Purva" last="Sharma">Purva Sharma</name>
</country>
</tree>
</affiliations>
</record>
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