Cardiac involvement in coronavirus disease 2019 assessed by cardiac magnetic resonance imaging: a meta-analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-03-16

AUTHORS

Shingo Kato, Mai Azuma, Kazuki Fukui, Sho Kodama, Naoki Nakayama, Hideya Kitamura, Eri Hagiwara, Takashi Ogura, Nobuyuki Horita, Ho Namkoong, Kazuo Kimura, Kouichi Tamura, Daisuke Utsunomiya

ABSTRACT

In this systematic review and meta-analysis, we sought to evaluate the prevalence of cardiac involvement in patients with COVID-19 using cardiac magnetic resonance imaging. A literature review was performed to investigate the left ventricular (LV) and right ventricular (RV) ejection fraction (EF), the prevalence of LV late gadolinium enhancement (LGE), pericardial enhancement, abnormality on T1 mapping, and T2 mapping/T2-weighted imaging (T2WI), and myocarditis (defined by modified Lake Louis criteria). Pooled mean differences (MD) between COVID-19 patients and controls for LVEF and RVEF were estimated using random-effects models. We included data from 10.462 patients with COVID-19, comprising 1.010 non-athletes and 9.452 athletes from 29 eligible studies. The meta-analysis showed a significant difference between COVID-19 patients and controls in terms of LVEF [MD = − 2.84, 95% confidence interval (CI) − 5.11 to − 0.56, p < 0.001] and RVEF (MD = − 2.69%, 95% CI − 4.41 to − 1.27, p < 0.001). However, in athletes, no significant difference was identified in LVEF (MD = − 0.74%, 95% CI − 2.41 to − 0.93, p = 0.39) or RVEF (MD = − 1.88%, 95% CI − 5.21 to 1.46, p = 0.27). In non-athletes, the prevalence of LV LGE abnormalities, pericardial enhancement, T1 mapping, T2 mapping/T2WI, myocarditis were 27.5% (95%CI 17.4–37.6%), 11.9% (95%CI 4.1–19.6%), 39.5% (95%CI 16.2–62.8%), 38.1% (95%CI 19.0–57.1%) and 17.6% (95%CI 6.3–28.9%), respectively. In athletes, these values were 10.8% (95%CI 2.3–19.4%), 35.4% (95%CI − 3.2 to 73.9%), 5.7% (95%CI − 2.9 to 14.2%), 1.9% (95%CI 1.1–2.7%), 0.9% (0.3–1.6%), respectively. Both LVEF and RVEF were significantly impaired in COVID-19 patients compared to controls, but not in athletes. In addition, the prevalence of myocardial involvement is not negligible in patients with COVID-19. More... »

PAGES

1570-1582

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00380-022-02055-6

DOI

http://dx.doi.org/10.1007/s00380-022-02055-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1146314099

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35294611


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "COVID-19", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gadolinium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging, Cine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Spectroscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Myocarditis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stroke Volume", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Function, Left", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan", 
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kato", 
        "givenName": "Shingo", 
        "id": "sg:person.01360015547.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360015547.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Azuma", 
        "givenName": "Mai", 
        "id": "sg:person.014111730201.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014111730201.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukui", 
        "givenName": "Kazuki", 
        "id": "sg:person.0650622624.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650622624.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kodama", 
        "givenName": "Sho", 
        "id": "sg:person.013056552235.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013056552235.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakayama", 
        "givenName": "Naoki", 
        "id": "sg:person.01371456341.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371456341.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kitamura", 
        "givenName": "Hideya", 
        "id": "sg:person.016373105642.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016373105642.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hagiwara", 
        "givenName": "Eri", 
        "id": "sg:person.01200126611.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200126611.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ogura", 
        "givenName": "Takashi", 
        "id": "sg:person.07607304512.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07607304512.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chemotherapy Center, Yokohama City University Graduate School of Medicine, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Chemotherapy Center, Yokohama City University Graduate School of Medicine, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Horita", 
        "givenName": "Nobuyuki", 
        "id": "sg:person.01170531520.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170531520.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Namkoong", 
        "givenName": "Ho", 
        "id": "sg:person.0660303354.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660303354.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413045.7", 
          "name": [
            "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kimura", 
        "givenName": "Kazuo", 
        "id": "sg:person.016170645072.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016170645072.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tamura", 
        "givenName": "Kouichi", 
        "id": "sg:person.013174322507.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013174322507.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Utsunomiya", 
        "givenName": "Daisuke", 
        "id": "sg:person.01057517177.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057517177.81"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11845-021-02824-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1142247907", 
          "https://doi.org/10.1007/s11845-021-02824-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00392-021-01929-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1140667116", 
          "https://doi.org/10.1007/s00392-021-01929-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-021-00710-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1135714424", 
          "https://doi.org/10.1186/s12968-021-00710-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40520-021-01808-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1136204952", 
          "https://doi.org/10.1007/s40520-021-01808-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-015-0113-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018750748", 
          "https://doi.org/10.1186/s12968-015-0113-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-021-00764-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1138738905", 
          "https://doi.org/10.1186/s12968-021-00764-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-016-0308-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017591814", 
          "https://doi.org/10.1186/s12968-016-0308-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-03-16", 
    "datePublishedReg": "2022-03-16", 
    "description": "In this systematic review and meta-analysis, we sought to evaluate the prevalence of cardiac involvement in patients with COVID-19 using cardiac magnetic resonance imaging. A literature review was performed to investigate the left ventricular (LV) and right ventricular (RV) ejection fraction (EF), the prevalence of LV late gadolinium enhancement (LGE), pericardial enhancement, abnormality on T1 mapping, and T2 mapping/T2-weighted imaging (T2WI), and myocarditis (defined by modified Lake Louis criteria). Pooled mean differences (MD) between COVID-19 patients and controls for LVEF and RVEF were estimated using random-effects models. We included data from 10.462 patients with COVID-19, comprising 1.010 non-athletes and 9.452 athletes from 29 eligible studies. The meta-analysis showed a significant difference between COVID-19 patients and controls in terms of LVEF [MD\u2009=\u2009\u2212 2.84, 95% confidence interval (CI) \u2212 5.11 to \u2212 0.56, p\u2009<\u20090.001] and RVEF (MD\u2009=\u2009\u2212 2.69%, 95% CI \u2212 4.41 to \u2212 1.27, p\u2009<\u20090.001). However, in athletes, no significant difference was identified in LVEF (MD\u2009=\u2009\u2212 0.74%, 95% CI \u2212 2.41 to \u2212 0.93, p\u2009=\u20090.39) or RVEF (MD\u2009=\u2009\u2212 1.88%, 95% CI \u2212 5.21 to 1.46, p\u2009=\u20090.27). In non-athletes, the prevalence of LV LGE abnormalities, pericardial enhancement, T1 mapping, T2 mapping/T2WI, myocarditis were 27.5% (95%CI 17.4\u201337.6%), 11.9% (95%CI 4.1\u201319.6%), 39.5% (95%CI 16.2\u201362.8%), 38.1% (95%CI 19.0\u201357.1%) and 17.6% (95%CI 6.3\u201328.9%), respectively. In athletes, these values were 10.8% (95%CI 2.3\u201319.4%), 35.4% (95%CI \u2212 3.2 to 73.9%), 5.7% (95%CI \u2212 2.9 to 14.2%), 1.9% (95%CI 1.1\u20132.7%), 0.9% (0.3\u20131.6%), respectively. Both LVEF and RVEF were significantly impaired in COVID-19 patients compared to controls, but not in athletes. In addition, the prevalence of myocardial involvement is not negligible in patients with COVID-19.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00380-022-02055-6", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1095887", 
        "issn": [
          "0910-8327", 
          "1615-2573"
        ], 
        "name": "Heart and Vessels", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "37"
      }
    ], 
    "keywords": [
      "COVID-19 patients", 
      "LV late gadolinium enhancement", 
      "cardiac magnetic resonance imaging", 
      "magnetic resonance imaging", 
      "pericardial enhancement", 
      "cardiac involvement", 
      "ejection fraction", 
      "left ventricular", 
      "resonance imaging", 
      "right ventricular ejection fraction", 
      "COVID-19", 
      "mean difference", 
      "terms of LVEF", 
      "ventricular ejection fraction", 
      "coronavirus disease 2019", 
      "late gadolinium enhancement", 
      "significant differences", 
      "random-effects model", 
      "T2-weighted imaging", 
      "myocardial involvement", 
      "eligible studies", 
      "gadolinium enhancement", 
      "disease 2019", 
      "LVEF", 
      "patients", 
      "RVEF", 
      "systematic review", 
      "prevalence", 
      "myocarditis", 
      "T1 mapping", 
      "athletes", 
      "abnormalities", 
      "involvement", 
      "imaging", 
      "literature review", 
      "ventricular", 
      "review", 
      "T2WI", 
      "differences", 
      "control", 
      "study", 
      "enhancement", 
      "data", 
      "addition", 
      "fraction", 
      "values", 
      "model", 
      "mapping", 
      "terms"
    ], 
    "name": "Cardiac involvement in coronavirus disease 2019 assessed by cardiac magnetic resonance imaging: a meta-analysis", 
    "pagination": "1570-1582", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1146314099"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00380-022-02055-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35294611"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00380-022-02055-6", 
      "https://app.dimensions.ai/details/publication/pub.1146314099"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:44", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_951.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00380-022-02055-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00380-022-02055-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00380-022-02055-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00380-022-02055-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00380-022-02055-6'


 

This table displays all metadata directly associated to this object as RDF triples.

282 TRIPLES      21 PREDICATES      92 URIs      77 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00380-022-02055-6 schema:about N387b3508be2b4c8596739044d613e314
2 N490b3ebbd2a54f928f0847fd3f1576c5
3 N5fc443dffc2c4b00b3137a883d35cee7
4 N802a08a6b40047a1b09cd319a2ad3293
5 N87d90110ab0143c4baabffa20ca131bb
6 Nad100224ad5841339142605d5a381e77
7 Nba4cf6886ba04917b9d8cab4e62fb5d1
8 Nd3c0f1a799e047519fc5fce25f94e2cd
9 Nd7c524a406034e859f3719778c0f22de
10 Ne2890c20cdd848f782e58619b801ade5
11 Nee85d8d9136f42119d5cf00eb8a1947b
12 anzsrc-for:11
13 anzsrc-for:1102
14 schema:author N0395f78042ee4c29b8cc63459386ee23
15 schema:citation sg:pub.10.1007/s00392-021-01929-5
16 sg:pub.10.1007/s11845-021-02824-8
17 sg:pub.10.1007/s40520-021-01808-z
18 sg:pub.10.1186/s12968-015-0113-5
19 sg:pub.10.1186/s12968-016-0308-4
20 sg:pub.10.1186/s12968-021-00710-x
21 sg:pub.10.1186/s12968-021-00764-x
22 schema:datePublished 2022-03-16
23 schema:datePublishedReg 2022-03-16
24 schema:description In this systematic review and meta-analysis, we sought to evaluate the prevalence of cardiac involvement in patients with COVID-19 using cardiac magnetic resonance imaging. A literature review was performed to investigate the left ventricular (LV) and right ventricular (RV) ejection fraction (EF), the prevalence of LV late gadolinium enhancement (LGE), pericardial enhancement, abnormality on T1 mapping, and T2 mapping/T2-weighted imaging (T2WI), and myocarditis (defined by modified Lake Louis criteria). Pooled mean differences (MD) between COVID-19 patients and controls for LVEF and RVEF were estimated using random-effects models. We included data from 10.462 patients with COVID-19, comprising 1.010 non-athletes and 9.452 athletes from 29 eligible studies. The meta-analysis showed a significant difference between COVID-19 patients and controls in terms of LVEF [MD = − 2.84, 95% confidence interval (CI) − 5.11 to − 0.56, p < 0.001] and RVEF (MD = − 2.69%, 95% CI − 4.41 to − 1.27, p < 0.001). However, in athletes, no significant difference was identified in LVEF (MD = − 0.74%, 95% CI − 2.41 to − 0.93, p = 0.39) or RVEF (MD = − 1.88%, 95% CI − 5.21 to 1.46, p = 0.27). In non-athletes, the prevalence of LV LGE abnormalities, pericardial enhancement, T1 mapping, T2 mapping/T2WI, myocarditis were 27.5% (95%CI 17.4–37.6%), 11.9% (95%CI 4.1–19.6%), 39.5% (95%CI 16.2–62.8%), 38.1% (95%CI 19.0–57.1%) and 17.6% (95%CI 6.3–28.9%), respectively. In athletes, these values were 10.8% (95%CI 2.3–19.4%), 35.4% (95%CI − 3.2 to 73.9%), 5.7% (95%CI − 2.9 to 14.2%), 1.9% (95%CI 1.1–2.7%), 0.9% (0.3–1.6%), respectively. Both LVEF and RVEF were significantly impaired in COVID-19 patients compared to controls, but not in athletes. In addition, the prevalence of myocardial involvement is not negligible in patients with COVID-19.
25 schema:genre article
26 schema:isAccessibleForFree true
27 schema:isPartOf N598e9de303774251adcc0477593ef16f
28 Ne75215dbd62d4533ad42bc37b0c66dab
29 sg:journal.1095887
30 schema:keywords COVID-19
31 COVID-19 patients
32 LV late gadolinium enhancement
33 LVEF
34 RVEF
35 T1 mapping
36 T2-weighted imaging
37 T2WI
38 abnormalities
39 addition
40 athletes
41 cardiac involvement
42 cardiac magnetic resonance imaging
43 control
44 coronavirus disease 2019
45 data
46 differences
47 disease 2019
48 ejection fraction
49 eligible studies
50 enhancement
51 fraction
52 gadolinium enhancement
53 imaging
54 involvement
55 late gadolinium enhancement
56 left ventricular
57 literature review
58 magnetic resonance imaging
59 mapping
60 mean difference
61 model
62 myocardial involvement
63 myocarditis
64 patients
65 pericardial enhancement
66 prevalence
67 random-effects model
68 resonance imaging
69 review
70 right ventricular ejection fraction
71 significant differences
72 study
73 systematic review
74 terms
75 terms of LVEF
76 values
77 ventricular
78 ventricular ejection fraction
79 schema:name Cardiac involvement in coronavirus disease 2019 assessed by cardiac magnetic resonance imaging: a meta-analysis
80 schema:pagination 1570-1582
81 schema:productId N618dbd25d4ef474ab767ac19ece613d2
82 N9dba87757e2540f3bb3ece9c6f5dfb47
83 Nfa093c4d847b47d085286a41b31517a9
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1146314099
85 https://doi.org/10.1007/s00380-022-02055-6
86 schema:sdDatePublished 2022-12-01T06:44
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher Na0bb08034abf46c78461aa87997cc2f5
89 schema:url https://doi.org/10.1007/s00380-022-02055-6
90 sgo:license sg:explorer/license/
91 sgo:sdDataset articles
92 rdf:type schema:ScholarlyArticle
93 N0395f78042ee4c29b8cc63459386ee23 rdf:first sg:person.01360015547.94
94 rdf:rest N6e526910338c48c884997aed9a935fb4
95 N387b3508be2b4c8596739044d613e314 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Ventricular Function, Left
97 rdf:type schema:DefinedTerm
98 N38e2b17f14304da594064947d3213e02 rdf:first sg:person.01057517177.81
99 rdf:rest rdf:nil
100 N3a75600cd46148fbae7171b9d1c207e4 rdf:first sg:person.013174322507.05
101 rdf:rest N38e2b17f14304da594064947d3213e02
102 N427707db2a894833bfc49e81ad720642 rdf:first sg:person.016170645072.55
103 rdf:rest N3a75600cd46148fbae7171b9d1c207e4
104 N490b3ebbd2a54f928f0847fd3f1576c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Contrast Media
106 rdf:type schema:DefinedTerm
107 N598e9de303774251adcc0477593ef16f schema:volumeNumber 37
108 rdf:type schema:PublicationVolume
109 N5fc443dffc2c4b00b3137a883d35cee7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Gadolinium
111 rdf:type schema:DefinedTerm
112 N618dbd25d4ef474ab767ac19ece613d2 schema:name dimensions_id
113 schema:value pub.1146314099
114 rdf:type schema:PropertyValue
115 N6e526910338c48c884997aed9a935fb4 rdf:first sg:person.014111730201.09
116 rdf:rest Nf500f9be9e4846f5afdbec17209c9c58
117 N802a08a6b40047a1b09cd319a2ad3293 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Magnetic Resonance Imaging
119 rdf:type schema:DefinedTerm
120 N877e882a56f34d9b8a81ee135bac0d67 rdf:first sg:person.016373105642.00
121 rdf:rest N9168193eaf204b7487a7f4de2e63f579
122 N87d90110ab0143c4baabffa20ca131bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Stroke Volume
124 rdf:type schema:DefinedTerm
125 N8c8aebf03d9545739888416540cd196d rdf:first sg:person.0660303354.55
126 rdf:rest N427707db2a894833bfc49e81ad720642
127 N9168193eaf204b7487a7f4de2e63f579 rdf:first sg:person.01200126611.16
128 rdf:rest Nc7021e8f511c4793939c83310774239b
129 N9dba87757e2540f3bb3ece9c6f5dfb47 schema:name pubmed_id
130 schema:value 35294611
131 rdf:type schema:PropertyValue
132 Na0bb08034abf46c78461aa87997cc2f5 schema:name Springer Nature - SN SciGraph project
133 rdf:type schema:Organization
134 Nad100224ad5841339142605d5a381e77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Humans
136 rdf:type schema:DefinedTerm
137 Nb32d5bd3b5ac4d11b0293a5f3c3a8fdf rdf:first sg:person.01170531520.33
138 rdf:rest N8c8aebf03d9545739888416540cd196d
139 Nb89fc49609794216be707829f11075d5 rdf:first sg:person.01371456341.82
140 rdf:rest N877e882a56f34d9b8a81ee135bac0d67
141 Nba4cf6886ba04917b9d8cab4e62fb5d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Myocarditis
143 rdf:type schema:DefinedTerm
144 Nc7021e8f511c4793939c83310774239b rdf:first sg:person.07607304512.39
145 rdf:rest Nb32d5bd3b5ac4d11b0293a5f3c3a8fdf
146 Nd3c0f1a799e047519fc5fce25f94e2cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Magnetic Resonance Imaging, Cine
148 rdf:type schema:DefinedTerm
149 Nd7c524a406034e859f3719778c0f22de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name COVID-19
151 rdf:type schema:DefinedTerm
152 Ne2890c20cdd848f782e58619b801ade5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Predictive Value of Tests
154 rdf:type schema:DefinedTerm
155 Ne75215dbd62d4533ad42bc37b0c66dab schema:issueNumber 9
156 rdf:type schema:PublicationIssue
157 Nec36a063a2fc42648d6ab64ab229c749 rdf:first sg:person.013056552235.96
158 rdf:rest Nb89fc49609794216be707829f11075d5
159 Nee85d8d9136f42119d5cf00eb8a1947b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Magnetic Resonance Spectroscopy
161 rdf:type schema:DefinedTerm
162 Nf500f9be9e4846f5afdbec17209c9c58 rdf:first sg:person.0650622624.12
163 rdf:rest Nec36a063a2fc42648d6ab64ab229c749
164 Nfa093c4d847b47d085286a41b31517a9 schema:name doi
165 schema:value 10.1007/s00380-022-02055-6
166 rdf:type schema:PropertyValue
167 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
168 schema:name Medical and Health Sciences
169 rdf:type schema:DefinedTerm
170 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
171 schema:name Cardiorespiratory Medicine and Haematology
172 rdf:type schema:DefinedTerm
173 sg:journal.1095887 schema:issn 0910-8327
174 1615-2573
175 schema:name Heart and Vessels
176 schema:publisher Springer Nature
177 rdf:type schema:Periodical
178 sg:person.01057517177.81 schema:affiliation grid-institutes:grid.268441.d
179 schema:familyName Utsunomiya
180 schema:givenName Daisuke
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057517177.81
182 rdf:type schema:Person
183 sg:person.01170531520.33 schema:affiliation grid-institutes:grid.268441.d
184 schema:familyName Horita
185 schema:givenName Nobuyuki
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170531520.33
187 rdf:type schema:Person
188 sg:person.01200126611.16 schema:affiliation grid-institutes:grid.419708.3
189 schema:familyName Hagiwara
190 schema:givenName Eri
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200126611.16
192 rdf:type schema:Person
193 sg:person.013056552235.96 schema:affiliation grid-institutes:grid.419708.3
194 schema:familyName Kodama
195 schema:givenName Sho
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013056552235.96
197 rdf:type schema:Person
198 sg:person.013174322507.05 schema:affiliation grid-institutes:grid.268441.d
199 schema:familyName Tamura
200 schema:givenName Kouichi
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013174322507.05
202 rdf:type schema:Person
203 sg:person.01360015547.94 schema:affiliation grid-institutes:grid.419708.3
204 schema:familyName Kato
205 schema:givenName Shingo
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360015547.94
207 rdf:type schema:Person
208 sg:person.01371456341.82 schema:affiliation grid-institutes:grid.419708.3
209 schema:familyName Nakayama
210 schema:givenName Naoki
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371456341.82
212 rdf:type schema:Person
213 sg:person.014111730201.09 schema:affiliation grid-institutes:grid.419708.3
214 schema:familyName Azuma
215 schema:givenName Mai
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014111730201.09
217 rdf:type schema:Person
218 sg:person.016170645072.55 schema:affiliation grid-institutes:grid.413045.7
219 schema:familyName Kimura
220 schema:givenName Kazuo
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016170645072.55
222 rdf:type schema:Person
223 sg:person.016373105642.00 schema:affiliation grid-institutes:grid.419708.3
224 schema:familyName Kitamura
225 schema:givenName Hideya
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016373105642.00
227 rdf:type schema:Person
228 sg:person.0650622624.12 schema:affiliation grid-institutes:grid.419708.3
229 schema:familyName Fukui
230 schema:givenName Kazuki
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650622624.12
232 rdf:type schema:Person
233 sg:person.0660303354.55 schema:affiliation grid-institutes:grid.26091.3c
234 schema:familyName Namkoong
235 schema:givenName Ho
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660303354.55
237 rdf:type schema:Person
238 sg:person.07607304512.39 schema:affiliation grid-institutes:grid.419708.3
239 schema:familyName Ogura
240 schema:givenName Takashi
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07607304512.39
242 rdf:type schema:Person
243 sg:pub.10.1007/s00392-021-01929-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140667116
244 https://doi.org/10.1007/s00392-021-01929-5
245 rdf:type schema:CreativeWork
246 sg:pub.10.1007/s11845-021-02824-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1142247907
247 https://doi.org/10.1007/s11845-021-02824-8
248 rdf:type schema:CreativeWork
249 sg:pub.10.1007/s40520-021-01808-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1136204952
250 https://doi.org/10.1007/s40520-021-01808-z
251 rdf:type schema:CreativeWork
252 sg:pub.10.1186/s12968-015-0113-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018750748
253 https://doi.org/10.1186/s12968-015-0113-5
254 rdf:type schema:CreativeWork
255 sg:pub.10.1186/s12968-016-0308-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017591814
256 https://doi.org/10.1186/s12968-016-0308-4
257 rdf:type schema:CreativeWork
258 sg:pub.10.1186/s12968-021-00710-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1135714424
259 https://doi.org/10.1186/s12968-021-00710-x
260 rdf:type schema:CreativeWork
261 sg:pub.10.1186/s12968-021-00764-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1138738905
262 https://doi.org/10.1186/s12968-021-00764-x
263 rdf:type schema:CreativeWork
264 grid-institutes:grid.26091.3c schema:alternateName Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
265 schema:name Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
266 rdf:type schema:Organization
267 grid-institutes:grid.268441.d schema:alternateName Chemotherapy Center, Yokohama City University Graduate School of Medicine, Yokohama, Japan
268 Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
269 Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Japan
270 schema:name Chemotherapy Center, Yokohama City University Graduate School of Medicine, Yokohama, Japan
271 Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
272 Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Japan
273 rdf:type schema:Organization
274 grid-institutes:grid.413045.7 schema:alternateName Department of Cardiology, Yokohama City University Medical Center, Yokohama, Japan
275 schema:name Department of Cardiology, Yokohama City University Medical Center, Yokohama, Japan
276 rdf:type schema:Organization
277 grid-institutes:grid.419708.3 schema:alternateName Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
278 Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
279 schema:name Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
280 Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
281 Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
282 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...