AustralieFrV1, PubMed, Checkpoint, bibRecord, 001C56

Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis.

Identifieur interne : 001C56 ( PubMed/Checkpoint ); précédent : 001C55; suivant : 001C57

Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis.

Auteurs : Morgane Evin [Australie] ; Kathryn M. Broadhouse [Australie] ; Fraser M. Callaghan [Australie] ; Rachel T. Mcgrath [Australie] ; Sarah Glastras [Australie] ; Rebecca Kozor [Australie] ; Samantha L. Hocking [Australie] ; Jérôme Lamy [France] ; Alban Redheuil [France] ; Nadjia Kachenoura [France] ; Greg R. Fulcher [Australie] ; Gemma A. Figtree [Australie] ; Stuart M. Grieve [Australie]

Source :

Cardiovascular diabetology [ 1475-2840 ] ; 2016.

RBID : pubmed:28007022

Descripteurs français

KwdFr :
- Adiposité, Adulte, Adulte d'âge moyen, Algorithmes, Cardiopathies (imagerie diagnostique), Cardiopathies (physiopathologie), Cardiopathies (étiologie), Diabète de type 2 (), Diabète de type 2 (diagnostic), Diabète de type 2 (physiopathologie), Diagnostic précoce, Diastole, Facteurs de risque, Femelle, Fonction auriculaire gauche, Fonction ventriculaire gauche, Humains, IRM dynamique, Interprétation d'image assistée par ordinateur, Mâle, Obésité (), Obésité (diagnostic), Obésité (physiopathologie), Péricarde (imagerie diagnostique), Péricarde (physiopathologie), Tissu adipeux (imagerie diagnostique), Tissu adipeux (physiopathologie), Valeur prédictive des tests, Études cas-témoins.
MESH :
- diagnostic : Diabète de type 2, Obésité.
- imagerie diagnostique : Cardiopathies, Péricarde, Tissu adipeux.
- physiopathologie : Cardiopathies, Diabète de type 2, Obésité, Péricarde, Tissu adipeux.
- étiologie : Cardiopathies.
- Adiposité, Adulte, Adulte d'âge moyen, Algorithmes, Diabète de type 2, Diagnostic précoce, Diastole, Facteurs de risque, Femelle, Fonction auriculaire gauche, Fonction ventriculaire gauche, Humains, IRM dynamique, Interprétation d'image assistée par ordinateur, Mâle, Obésité, Valeur prédictive des tests, Études cas-témoins.

English descriptors

KwdEn :
- Adipose Tissue (diagnostic imaging), Adipose Tissue (physiopathology), Adiposity, Adult, Algorithms, Atrial Function, Left, Case-Control Studies, Diabetes Mellitus, Type 2 (complications), Diabetes Mellitus, Type 2 (diagnosis), Diabetes Mellitus, Type 2 (physiopathology), Diastole, Early Diagnosis, Female, Heart Diseases (diagnostic imaging), Heart Diseases (etiology), Heart Diseases (physiopathology), Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Cine, Male, Middle Aged, Obesity (complications), Obesity (diagnosis), Obesity (physiopathology), Pericardium (diagnostic imaging), Pericardium (physiopathology), Predictive Value of Tests, Risk Factors, Ventricular Function, Left.
MESH :
- complications : Diabetes Mellitus, Type 2, Obesity.
- diagnosis : Diabetes Mellitus, Type 2, Obesity.
- diagnostic imaging : Adipose Tissue, Heart Diseases, Pericardium.
- etiology : Heart Diseases.
- physiopathology : Adipose Tissue, Diabetes Mellitus, Type 2, Heart Diseases, Obesity, Pericardium.
- Adiposity, Adult, Algorithms, Atrial Function, Left, Case-Control Studies, Diastole, Early Diagnosis, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Cine, Male, Middle Aged, Predictive Value of Tests, Risk Factors, Ventricular Function, Left.

Abstract

Diastolic dysfunction is a major cause of morbidity in obese individuals. We aimed to assess the ability of magnetic resonance imaging (MRI) derived left atrial (LA) strain to detect early diastolic dysfunction in individuals with obesity and type 2 diabetes, and to explore the association between cardiac adipose tissue and LA function.

DOI: 10.1186/s12933-016-0481-7
PubMed: 28007022

Affiliations:

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Le document en format XML

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<term>Adipose Tissue (physiopathology)</term>
<term>Adiposity</term>
<term>Adult</term>
<term>Algorithms</term>
<term>Atrial Function, Left</term>
<term>Case-Control Studies</term>
<term>Diabetes Mellitus, Type 2 (complications)</term>
<term>Diabetes Mellitus, Type 2 (diagnosis)</term>
<term>Diabetes Mellitus, Type 2 (physiopathology)</term>
<term>Diastole</term>
<term>Early Diagnosis</term>
<term>Female</term>
<term>Heart Diseases (diagnostic imaging)</term>
<term>Heart Diseases (etiology)</term>
<term>Heart Diseases (physiopathology)</term>
<term>Humans</term>
<term>Image Interpretation, Computer-Assisted</term>
<term>Magnetic Resonance Imaging, Cine</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Obesity (complications)</term>
<term>Obesity (diagnosis)</term>
<term>Obesity (physiopathology)</term>
<term>Pericardium (diagnostic imaging)</term>
<term>Pericardium (physiopathology)</term>
<term>Predictive Value of Tests</term>
<term>Risk Factors</term>
<term>Ventricular Function, Left</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adiposité</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Algorithmes</term>
<term>Cardiopathies (imagerie diagnostique)</term>
<term>Cardiopathies (physiopathologie)</term>
<term>Cardiopathies (étiologie)</term>
<term>Diabète de type 2 ()</term>
<term>Diabète de type 2 (diagnostic)</term>
<term>Diabète de type 2 (physiopathologie)</term>
<term>Diagnostic précoce</term>
<term>Diastole</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Fonction auriculaire gauche</term>
<term>Fonction ventriculaire gauche</term>
<term>Humains</term>
<term>IRM dynamique</term>
<term>Interprétation d'image assistée par ordinateur</term>
<term>Mâle</term>
<term>Obésité ()</term>
<term>Obésité (diagnostic)</term>
<term>Obésité (physiopathologie)</term>
<term>Péricarde (imagerie diagnostique)</term>
<term>Péricarde (physiopathologie)</term>
<term>Tissu adipeux (imagerie diagnostique)</term>
<term>Tissu adipeux (physiopathologie)</term>
<term>Valeur prédictive des tests</term>
<term>Études cas-témoins</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Diabetes Mellitus, Type 2</term>
<term>Obesity</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Diabetes Mellitus, Type 2</term>
<term>Obesity</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Diabète de type 2</term>
<term>Obésité</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Adipose Tissue</term>
<term>Heart Diseases</term>
<term>Pericardium</term>
</keywords>
<keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Heart Diseases</term>
</keywords>
<keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Cardiopathies</term>
<term>Péricarde</term>
<term>Tissu adipeux</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Cardiopathies</term>
<term>Diabète de type 2</term>
<term>Obésité</term>
<term>Péricarde</term>
<term>Tissu adipeux</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Adipose Tissue</term>
<term>Diabetes Mellitus, Type 2</term>
<term>Heart Diseases</term>
<term>Obesity</term>
<term>Pericardium</term>
</keywords>
<keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Cardiopathies</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adiposity</term>
<term>Adult</term>
<term>Algorithms</term>
<term>Atrial Function, Left</term>
<term>Case-Control Studies</term>
<term>Diastole</term>
<term>Early Diagnosis</term>
<term>Female</term>
<term>Humans</term>
<term>Image Interpretation, Computer-Assisted</term>
<term>Magnetic Resonance Imaging, Cine</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Predictive Value of Tests</term>
<term>Risk Factors</term>
<term>Ventricular Function, Left</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adiposité</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Algorithmes</term>
<term>Diabète de type 2</term>
<term>Diagnostic précoce</term>
<term>Diastole</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Fonction auriculaire gauche</term>
<term>Fonction ventriculaire gauche</term>
<term>Humains</term>
<term>IRM dynamique</term>
<term>Interprétation d'image assistée par ordinateur</term>
<term>Mâle</term>
<term>Obésité</term>
<term>Valeur prédictive des tests</term>
<term>Études cas-témoins</term>
</keywords>
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<front><div type="abstract" xml:lang="en">Diastolic dysfunction is a major cause of morbidity in obese individuals. We aimed to assess the ability of magnetic resonance imaging (MRI) derived left atrial (LA) strain to detect early diastolic dysfunction in individuals with obesity and type 2 diabetes, and to explore the association between cardiac adipose tissue and LA function.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28007022</PMID>
<DateCreated><Year>2016</Year>
<Month>12</Month>
<Day>23</Day>
</DateCreated>
<DateCompleted><Year>2017</Year>
<Month>02</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>02</Month>
<Day>20</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1475-2840</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>15</Volume>
<Issue>1</Issue>
<PubDate><Year>2016</Year>
<Month>12</Month>
<Day>22</Day>
</PubDate>
</JournalIssue>
<Title>Cardiovascular diabetology</Title>
<ISOAbbreviation>Cardiovasc Diabetol</ISOAbbreviation>
</Journal>
<ArticleTitle>Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis.</ArticleTitle>
<Pagination><MedlinePgn>164</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1186/s12933-016-0481-7</ELocationID>
<Abstract><AbstractText Label="BACKGROUND">Diastolic dysfunction is a major cause of morbidity in obese individuals. We aimed to assess the ability of magnetic resonance imaging (MRI) derived left atrial (LA) strain to detect early diastolic dysfunction in individuals with obesity and type 2 diabetes, and to explore the association between cardiac adipose tissue and LA function.</AbstractText>
<AbstractText Label="METHODS">Twenty patients with obesity and T2D (55 ± 8 years) and nineteen healthy controls (48 ± 13 years) were imaged using cine steady state free precession and 2-point Dixon cardiovascular magnetic resonance. LA function was quantified using a feature tracking technique with definition of phasic longitudinal strain and strain rates, as well as radial motion fraction and radial velocities.</AbstractText>
<AbstractText Label="RESULTS">Systolic left ventricular size and function were similar between the obesity and type 2 diabetes and control groups by MRI. All patients except four had normal diastolic assessment by echocardiography. In contrast, measures of LA function using magnetic resonance feature tracking were uniformly altered in the obesity and type 2 diabetes group only. Although there was no significant difference in intra-myocardial fat fraction, Dixon 3D epicardial fat volume(EFV) was significantly elevated in the obesity and type 2 diabetes versus control group (135 ± 31 vs. 90 ± 30 mL/m(2), p < 0.001). There were significant correlations between LA functional indices and both BMI and EFV (p ≤ 0.007).</AbstractText>
<AbstractText Label="CONCLUSIONS">LA MRI-strain may be a sensitive tool for the detection of early diastolic dysfunction in individuals with obesity and type 2 diabetes and correlated with BMI and epicardial fat supporting a possible association between adiposity and LA strain. Trials Registration Australian New Zealand Clinical Trials Registry No. ACTRN12613001069741.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Evin</LastName>
<ForeName>Morgane</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Sydney Medical School, University of Sydney, Camperdown, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Sorbonne Universités, UPMC Univ Paris 06, INSERM UMRS 1146, CNRSUMR 7371, Laboratoire d'Imagerie Biomédicale, ICAN Institute of Cardiometabolism and Nutrition, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Broadhouse</LastName>
<ForeName>Kathryn M</ForeName>
<Initials>KM</Initials>
<AffiliationInfo><Affiliation>Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Sydney Medical School, University of Sydney, Camperdown, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Callaghan</LastName>
<ForeName>Fraser M</ForeName>
<Initials>FM</Initials>
<AffiliationInfo><Affiliation>Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Sydney Medical School, University of Sydney, Camperdown, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>McGrath</LastName>
<ForeName>Rachel T</ForeName>
<Initials>RT</Initials>
<AffiliationInfo><Affiliation>Department of Endocrinology, Royal North Shore Hospital, St Leonards, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Kolling Institute, University of Sydney, Sydney, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Glastras</LastName>
<ForeName>Sarah</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Endocrinology, Royal North Shore Hospital, St Leonards, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Kolling Institute, University of Sydney, Sydney, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kozor</LastName>
<ForeName>Rebecca</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Sydney Medical School, University of Sydney, Camperdown, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Cardiology, Royal North Shore Hospital, St Leonards, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hocking</LastName>
<ForeName>Samantha L</ForeName>
<Initials>SL</Initials>
<AffiliationInfo><Affiliation>Department of Endocrinology, Royal North Shore Hospital, St Leonards, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lamy</LastName>
<ForeName>Jérôme</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Sorbonne Universités, UPMC Univ Paris 06, INSERM UMRS 1146, CNRSUMR 7371, Laboratoire d'Imagerie Biomédicale, ICAN Institute of Cardiometabolism and Nutrition, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Redheuil</LastName>
<ForeName>Alban</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Sorbonne Universités, UPMC Univ Paris 06, INSERM UMRS 1146, CNRSUMR 7371, Laboratoire d'Imagerie Biomédicale, ICAN Institute of Cardiometabolism and Nutrition, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kachenoura</LastName>
<ForeName>Nadjia</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Sorbonne Universités, UPMC Univ Paris 06, INSERM UMRS 1146, CNRSUMR 7371, Laboratoire d'Imagerie Biomédicale, ICAN Institute of Cardiometabolism and Nutrition, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fulcher</LastName>
<ForeName>Greg R</ForeName>
<Initials>GR</Initials>
<AffiliationInfo><Affiliation>Department of Endocrinology, Royal North Shore Hospital, St Leonards, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Kolling Institute, University of Sydney, Sydney, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Figtree</LastName>
<ForeName>Gemma A</ForeName>
<Initials>GA</Initials>
<AffiliationInfo><Affiliation>Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Sydney Medical School, University of Sydney, Camperdown, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Cardiology, Royal North Shore Hospital, St Leonards, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Grieve</LastName>
<ForeName>Stuart M</ForeName>
<Initials>SM</Initials>
<AffiliationInfo><Affiliation>Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia. stuart.grieve@sydney.edu.au.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Sydney Medical School, University of Sydney, Camperdown, Australia. stuart.grieve@sydney.edu.au.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Departments of Radiology, Royal North Shore Hospital and Royal Prince Alfred Hospital, Sydney, Australia. stuart.grieve@sydney.edu.au.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<DataBankList CompleteYN="Y"><DataBank><DataBankName>ANZCTR</DataBankName>
<AccessionNumberList><AccessionNumber>ACTRN12613001069741</AccessionNumber>
</AccessionNumberList>
</DataBank>
</DataBankList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2016</Year>
<Month>12</Month>
<Day>22</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Cardiovasc Diabetol</MedlineTA>
<NlmUniqueID>101147637</NlmUniqueID>
<ISSNLinking>1475-2840</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000273" MajorTopicYN="N">Adipose Tissue</DescriptorName>
<QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D050154" MajorTopicYN="N">Adiposity</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000465" MajorTopicYN="N">Algorithms</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016279" MajorTopicYN="Y">Atrial Function, Left</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003924" MajorTopicYN="N">Diabetes Mellitus, Type 2</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003971" MajorTopicYN="N">Diastole</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D042241" MajorTopicYN="N">Early Diagnosis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006331" MajorTopicYN="N">Heart Diseases</DescriptorName>
<QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName>
<QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007090" MajorTopicYN="N">Image Interpretation, Computer-Assisted</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D019028" MajorTopicYN="Y">Magnetic Resonance Imaging, Cine</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009765" MajorTopicYN="N">Obesity</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D010496" MajorTopicYN="N">Pericardium</DescriptorName>
<QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011237" MajorTopicYN="N">Predictive Value of Tests</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016277" MajorTopicYN="N">Ventricular Function, Left</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cardiac dysfunction</Keyword>
<Keyword MajorTopicYN="N">Diastolic dysfunction</Keyword>
<Keyword MajorTopicYN="N">Fat distribution</Keyword>
<Keyword MajorTopicYN="N">Magnetic resonance studies</Keyword>
<Keyword MajorTopicYN="N">Obesity and type 2</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year>
<Month>10</Month>
<Day>06</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2016</Year>
<Month>12</Month>
<Day>03</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2016</Year>
<Month>12</Month>
<Day>24</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2016</Year>
<Month>12</Month>
<Day>23</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2017</Year>
<Month>2</Month>
<Day>7</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">28007022</ArticleId>
<ArticleId IdType="doi">10.1186/s12933-016-0481-7</ArticleId>
<ArticleId IdType="pii">10.1186/s12933-016-0481-7</ArticleId>
<ArticleId IdType="pmc">PMC5178096</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Australie</li>
<li>France</li>
</country>
<region><li>Nouvelle-Galles du Sud</li>
<li>Île-de-France</li>
</region>
<settlement><li>Paris</li>
<li>Sydney</li>
</settlement>
<orgName><li>Université de Sydney</li>
</orgName>
</list>
<tree><country name="Australie"><region name="Nouvelle-Galles du Sud"><name sortKey="Evin, Morgane" sort="Evin, Morgane" uniqKey="Evin M" first="Morgane" last="Evin">Morgane Evin</name>
</region>
<name sortKey="Broadhouse, Kathryn M" sort="Broadhouse, Kathryn M" uniqKey="Broadhouse K" first="Kathryn M" last="Broadhouse">Kathryn M. Broadhouse</name>
<name sortKey="Callaghan, Fraser M" sort="Callaghan, Fraser M" uniqKey="Callaghan F" first="Fraser M" last="Callaghan">Fraser M. Callaghan</name>
<name sortKey="Figtree, Gemma A" sort="Figtree, Gemma A" uniqKey="Figtree G" first="Gemma A" last="Figtree">Gemma A. Figtree</name>
<name sortKey="Fulcher, Greg R" sort="Fulcher, Greg R" uniqKey="Fulcher G" first="Greg R" last="Fulcher">Greg R. Fulcher</name>
<name sortKey="Glastras, Sarah" sort="Glastras, Sarah" uniqKey="Glastras S" first="Sarah" last="Glastras">Sarah Glastras</name>
<name sortKey="Grieve, Stuart M" sort="Grieve, Stuart M" uniqKey="Grieve S" first="Stuart M" last="Grieve">Stuart M. Grieve</name>
<name sortKey="Hocking, Samantha L" sort="Hocking, Samantha L" uniqKey="Hocking S" first="Samantha L" last="Hocking">Samantha L. Hocking</name>
<name sortKey="Kozor, Rebecca" sort="Kozor, Rebecca" uniqKey="Kozor R" first="Rebecca" last="Kozor">Rebecca Kozor</name>
<name sortKey="Mcgrath, Rachel T" sort="Mcgrath, Rachel T" uniqKey="Mcgrath R" first="Rachel T" last="Mcgrath">Rachel T. Mcgrath</name>
</country>
<country name="France"><region name="Île-de-France"><name sortKey="Lamy, Jerome" sort="Lamy, Jerome" uniqKey="Lamy J" first="Jérôme" last="Lamy">Jérôme Lamy</name>
</region>
<name sortKey="Kachenoura, Nadjia" sort="Kachenoura, Nadjia" uniqKey="Kachenoura N" first="Nadjia" last="Kachenoura">Nadjia Kachenoura</name>
<name sortKey="Redheuil, Alban" sort="Redheuil, Alban" uniqKey="Redheuil A" first="Alban" last="Redheuil">Alban Redheuil</name>
</country>
</tree>
</affiliations>
</record>

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{{Explor lien
   |wiki=    Wicri/Asie
   |area=    AustralieFrV1
   |flux=    PubMed
   |étape=   Checkpoint
   |type=    RBID
   |clé=     pubmed:28007022
   |texte=   Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis.
}}

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This area was generated with Dilib version V0.6.33.
Data generation: Tue Dec 5 10:43:12 2017. Site generation: Tue Mar 5 14:07:20 2024

	Serveur d'exploration sur les relations entre la France et l'Australie
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur les relations entre la France et l'Australie

Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis.

Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis.

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Abstract

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