Predictors of non-pulmonary vein foci in paroxysmal atrial fibrillation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-05-28

AUTHORS

Keita Watanabe, Junichi Nitta, Osamu Inaba, Akira Sato, Yukihiro Inamura, Nobutaka Kato, Masahito Suzuki, Masahiko Goya, Kenzo Hirao, Tetsuo Sasano

ABSTRACT

PurposeProgress of balloon devices for pulmonary vein (PV) isolation in atrial fibrillation (AF) has been remarkable. However, these techniques were specialized in pulmonary vein treatment; predicting non-PV foci in advance is important to decide the treatment strategy. In this study, we investigate the predictors for paroxysmal AF.MethodsSubjects were consecutive paroxysmal AF patients who underwent high-dose isoproterenol provocation after PV isolation in the first session. The PV group (n = 102) and non-PV group (n = 222) were defined as the patients with and without non-PV ablation, respectively. Non-PV ablation was performed when frequent repetitive premature atrial contractions or triggered AF occurred spontaneously or by isoproterenol provocation. Predictors of non-PV origin in paroxysmal AF patients were examined using clinical characteristics and preoperative echocardiography.ResultsIn the multivariate logistic regression analysis, female sex, body mass index (BMI < 23.8), absence of hypertension, and higher ratio of mitral early diastolic peak (E-wave) to early diastolic mitral annulus peak (e’) velocity (E/e’ > 8.44) were significant independent predictors of non-PV foci (hazard ratio 2.04, 1.88, 3.63, and 2.33; 95% confidence interval 1.17–3.55, 1.05–3.39, 1.72–7.67, and 1.34–4.05; p = 0.011, 0.035, < 0.001, and 0.003, respectively). If a patient had these four factors, non-PV was detected with 96.8% specificity.ConclusionFemale sex, lower BMI, absence of hypertension, and higher E/e’ were significant indicators of non-PV foci in patients with paroxysmal AF. Reviewing these factors in advance may be useful for selecting a device to perform pulmonary vein isolation. More... »

PAGES

71-78

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10840-020-00779-x

DOI

http://dx.doi.org/10.1007/s10840-020-00779-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1127978963

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32468323


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": "Atrial Fibrillation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Catheter Ablation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pulmonary Veins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Recurrence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan", 
            "Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Keita", 
        "id": "sg:person.014375167473.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014375167473.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410775.0", 
          "name": [
            "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nitta", 
        "givenName": "Junichi", 
        "id": "sg:person.01371633425.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371633425.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410775.0", 
          "name": [
            "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inaba", 
        "givenName": "Osamu", 
        "id": "sg:person.0765424562.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765424562.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410775.0", 
          "name": [
            "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sato", 
        "givenName": "Akira", 
        "id": "sg:person.0717074353.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717074353.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410775.0", 
          "name": [
            "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inamura", 
        "givenName": "Yukihiro", 
        "id": "sg:person.016565511073.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016565511073.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410775.0", 
          "name": [
            "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kato", 
        "givenName": "Nobutaka", 
        "id": "sg:person.01133722776.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133722776.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410775.0", 
          "name": [
            "Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suzuki", 
        "givenName": "Masahito", 
        "id": "sg:person.0666762626.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666762626.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goya", 
        "givenName": "Masahiko", 
        "id": "sg:person.01014214033.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014214033.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hirao", 
        "givenName": "Kenzo", 
        "id": "sg:person.01220630100.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220630100.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sasano", 
        "givenName": "Tetsuo", 
        "id": "sg:person.01266323017.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266323017.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/bmt.2012.244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028358194", 
          "https://doi.org/10.1038/bmt.2012.244"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-05-28", 
    "datePublishedReg": "2020-05-28", 
    "description": "PurposeProgress of balloon devices for pulmonary vein (PV) isolation in atrial fibrillation (AF) has been remarkable. However, these techniques were specialized in pulmonary vein treatment; predicting non-PV foci in advance is important to decide the treatment strategy. In this study, we investigate the predictors for paroxysmal AF.MethodsSubjects were consecutive paroxysmal AF patients who underwent high-dose isoproterenol provocation after PV isolation in the first session. The PV group (n\u2009=\u2009102) and non-PV group (n\u2009=\u2009222) were defined as the patients with and without non-PV ablation, respectively. Non-PV ablation was performed when frequent repetitive premature atrial contractions or triggered AF occurred spontaneously or by isoproterenol provocation. Predictors of non-PV origin in paroxysmal AF patients were examined using clinical characteristics and preoperative echocardiography.ResultsIn the multivariate logistic regression analysis, female sex, body mass index (BMI <\u200923.8), absence of hypertension, and higher ratio of mitral early diastolic peak (E-wave) to early diastolic mitral annulus peak (e\u2019) velocity (E/e\u2019\u2009>\u20098.44) were significant independent predictors of non-PV foci (hazard ratio 2.04, 1.88, 3.63, and 2.33; 95% confidence interval 1.17\u20133.55, 1.05\u20133.39, 1.72\u20137.67, and 1.34\u20134.05; p\u2009=\u20090.011, 0.035, <\u20090.001, and 0.003, respectively). If a patient had these four factors, non-PV was detected with 96.8% specificity.ConclusionFemale sex, lower BMI, absence of hypertension, and higher E/e\u2019 were significant indicators of non-PV foci in patients with paroxysmal AF. Reviewing these factors in advance may be useful for selecting a device to perform pulmonary vein isolation.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10840-020-00779-x", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1116996", 
        "issn": [
          "1383-875X", 
          "1573-725X"
        ], 
        "name": "Journal of Interventional Cardiac Electrophysiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "61"
      }
    ], 
    "keywords": [
      "non-PV foci", 
      "paroxysmal atrial fibrillation", 
      "paroxysmal AF patients", 
      "absence of hypertension", 
      "pulmonary vein isolation", 
      "atrial fibrillation", 
      "isoproterenol provocation", 
      "vein isolation", 
      "AF patients", 
      "consecutive paroxysmal AF patients", 
      "non-pulmonary vein foci", 
      "multivariate logistic regression analysis", 
      "non-PV ablation", 
      "body mass index", 
      "significant independent predictors", 
      "premature atrial contractions", 
      "early diastolic peak", 
      "logistic regression analysis", 
      "non-PV group", 
      "PV isolation", 
      "preoperative echocardiography", 
      "clinical characteristics", 
      "independent predictors", 
      "PV ablation", 
      "atrial contraction", 
      "mass index", 
      "lower BMI", 
      "female sex", 
      "treatment strategies", 
      "PV group", 
      "balloon device", 
      "vein treatment", 
      "patients", 
      "diastolic peak", 
      "hypertension", 
      "peak velocity", 
      "regression analysis", 
      "fibrillation", 
      "predictors", 
      "first session", 
      "sex", 
      "ablation", 
      "provocation", 
      "significant indicators", 
      "PurposeProgress", 
      "echocardiography", 
      "BMI", 
      "MethodsSubjects", 
      "group", 
      "treatment", 
      "absence", 
      "factors", 
      "contraction", 
      "ResultsIn", 
      "high ratio", 
      "sessions", 
      "isolation", 
      "specificity", 
      "advances", 
      "index", 
      "focus", 
      "study", 
      "indicators", 
      "strategies", 
      "ratio", 
      "origin", 
      "analysis", 
      "characteristics", 
      "technique", 
      "devices", 
      "peak", 
      "PV", 
      "velocity", 
      "pulmonary vein treatment", 
      "high-dose isoproterenol provocation", 
      "frequent repetitive premature atrial contractions", 
      "repetitive premature atrial contractions", 
      "non-PV origin", 
      "mitral early diastolic peak", 
      "early diastolic mitral annulus peak (e\u2019) velocity", 
      "diastolic mitral annulus peak (e\u2019) velocity", 
      "mitral annulus peak (e\u2019) velocity", 
      "annulus peak (e\u2019) velocity", 
      "ConclusionFemale sex", 
      "vein foci"
    ], 
    "name": "Predictors of non-pulmonary vein foci in paroxysmal atrial fibrillation", 
    "pagination": "71-78", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1127978963"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10840-020-00779-x"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "32468323"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10840-020-00779-x", 
      "https://app.dimensions.ai/details/publication/pub.1127978963"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:59", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_856.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10840-020-00779-x"
  }
]
 

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/s10840-020-00779-x'

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/s10840-020-00779-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10840-020-00779-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10840-020-00779-x'


 

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

246 TRIPLES      22 PREDICATES      119 URIs      110 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10840-020-00779-x schema:about N61bd8bfdd2314500880f28485ad3fe47
2 N62ea40df17b9476b9701422736b6aa2d
3 N9312ea7fd6474594b15964853f2da6fa
4 Nbd7329262bfb488fa567c3450e1988b0
5 Nd6cfc353150f45328366820a182ecbe6
6 Ne9cb935ccca44c3b8f7c870606129fb1
7 Nfdb0ccef125e4aa59f946a755f30e47e
8 anzsrc-for:11
9 anzsrc-for:1102
10 schema:author Ne65132efa33d4eba84b624c6a55334bd
11 schema:citation sg:pub.10.1038/bmt.2012.244
12 schema:datePublished 2020-05-28
13 schema:datePublishedReg 2020-05-28
14 schema:description PurposeProgress of balloon devices for pulmonary vein (PV) isolation in atrial fibrillation (AF) has been remarkable. However, these techniques were specialized in pulmonary vein treatment; predicting non-PV foci in advance is important to decide the treatment strategy. In this study, we investigate the predictors for paroxysmal AF.MethodsSubjects were consecutive paroxysmal AF patients who underwent high-dose isoproterenol provocation after PV isolation in the first session. The PV group (n = 102) and non-PV group (n = 222) were defined as the patients with and without non-PV ablation, respectively. Non-PV ablation was performed when frequent repetitive premature atrial contractions or triggered AF occurred spontaneously or by isoproterenol provocation. Predictors of non-PV origin in paroxysmal AF patients were examined using clinical characteristics and preoperative echocardiography.ResultsIn the multivariate logistic regression analysis, female sex, body mass index (BMI < 23.8), absence of hypertension, and higher ratio of mitral early diastolic peak (E-wave) to early diastolic mitral annulus peak (e’) velocity (E/e’ > 8.44) were significant independent predictors of non-PV foci (hazard ratio 2.04, 1.88, 3.63, and 2.33; 95% confidence interval 1.17–3.55, 1.05–3.39, 1.72–7.67, and 1.34–4.05; p = 0.011, 0.035, < 0.001, and 0.003, respectively). If a patient had these four factors, non-PV was detected with 96.8% specificity.ConclusionFemale sex, lower BMI, absence of hypertension, and higher E/e’ were significant indicators of non-PV foci in patients with paroxysmal AF. Reviewing these factors in advance may be useful for selecting a device to perform pulmonary vein isolation.
15 schema:genre article
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf N1e3ba2993b6c4ba99d68fadf1e51f1d2
19 N66ee1e21573e4389ae1cea25092fce2e
20 sg:journal.1116996
21 schema:keywords AF patients
22 BMI
23 ConclusionFemale sex
24 MethodsSubjects
25 PV
26 PV ablation
27 PV group
28 PV isolation
29 PurposeProgress
30 ResultsIn
31 ablation
32 absence
33 absence of hypertension
34 advances
35 analysis
36 annulus peak (e’) velocity
37 atrial contraction
38 atrial fibrillation
39 balloon device
40 body mass index
41 characteristics
42 clinical characteristics
43 consecutive paroxysmal AF patients
44 contraction
45 devices
46 diastolic mitral annulus peak (e’) velocity
47 diastolic peak
48 early diastolic mitral annulus peak (e’) velocity
49 early diastolic peak
50 echocardiography
51 factors
52 female sex
53 fibrillation
54 first session
55 focus
56 frequent repetitive premature atrial contractions
57 group
58 high ratio
59 high-dose isoproterenol provocation
60 hypertension
61 independent predictors
62 index
63 indicators
64 isolation
65 isoproterenol provocation
66 logistic regression analysis
67 lower BMI
68 mass index
69 mitral annulus peak (e’) velocity
70 mitral early diastolic peak
71 multivariate logistic regression analysis
72 non-PV ablation
73 non-PV foci
74 non-PV group
75 non-PV origin
76 non-pulmonary vein foci
77 origin
78 paroxysmal AF patients
79 paroxysmal atrial fibrillation
80 patients
81 peak
82 peak velocity
83 predictors
84 premature atrial contractions
85 preoperative echocardiography
86 provocation
87 pulmonary vein isolation
88 pulmonary vein treatment
89 ratio
90 regression analysis
91 repetitive premature atrial contractions
92 sessions
93 sex
94 significant independent predictors
95 significant indicators
96 specificity
97 strategies
98 study
99 technique
100 treatment
101 treatment strategies
102 vein foci
103 vein isolation
104 vein treatment
105 velocity
106 schema:name Predictors of non-pulmonary vein foci in paroxysmal atrial fibrillation
107 schema:pagination 71-78
108 schema:productId N8b075b3742c14cacb9404b63a4c2b68c
109 Naaef65067ea048d28787a58a1321a666
110 Nc256fbb91bae4260ac3c763c8e1d4e48
111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127978963
112 https://doi.org/10.1007/s10840-020-00779-x
113 schema:sdDatePublished 2022-01-01T18:59
114 schema:sdLicense https://scigraph.springernature.com/explorer/license/
115 schema:sdPublisher Naf82b78e253742538b81079dc615d0ae
116 schema:url https://doi.org/10.1007/s10840-020-00779-x
117 sgo:license sg:explorer/license/
118 sgo:sdDataset articles
119 rdf:type schema:ScholarlyArticle
120 N0f8c1ebf778e44da8b925c62ed3a2466 rdf:first sg:person.01220630100.27
121 rdf:rest N802032c08b93477a802db75f8f07e989
122 N1e3ba2993b6c4ba99d68fadf1e51f1d2 schema:issueNumber 1
123 rdf:type schema:PublicationIssue
124 N321049a899b6404fa8251546c6a598f9 rdf:first sg:person.0717074353.90
125 rdf:rest Ncb0fb099fc4f47aab31ac4c310f425d5
126 N61bd8bfdd2314500880f28485ad3fe47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Atrial Fibrillation
128 rdf:type schema:DefinedTerm
129 N62ea40df17b9476b9701422736b6aa2d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Pulmonary Veins
131 rdf:type schema:DefinedTerm
132 N66ee1e21573e4389ae1cea25092fce2e schema:volumeNumber 61
133 rdf:type schema:PublicationVolume
134 N7b105f897609405a9e6db605b9369abd rdf:first sg:person.0666762626.37
135 rdf:rest N8802cd24ea5d4a288a06a14ddc1ab493
136 N802032c08b93477a802db75f8f07e989 rdf:first sg:person.01266323017.37
137 rdf:rest rdf:nil
138 N86881cb604ee47aeb8e23bcc6614e404 rdf:first sg:person.01371633425.76
139 rdf:rest Nba2491ed6a614c47a0c0f249b5426465
140 N8802cd24ea5d4a288a06a14ddc1ab493 rdf:first sg:person.01014214033.25
141 rdf:rest N0f8c1ebf778e44da8b925c62ed3a2466
142 N8b075b3742c14cacb9404b63a4c2b68c schema:name dimensions_id
143 schema:value pub.1127978963
144 rdf:type schema:PropertyValue
145 N9312ea7fd6474594b15964853f2da6fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Treatment Outcome
147 rdf:type schema:DefinedTerm
148 Naaef65067ea048d28787a58a1321a666 schema:name doi
149 schema:value 10.1007/s10840-020-00779-x
150 rdf:type schema:PropertyValue
151 Naf82b78e253742538b81079dc615d0ae schema:name Springer Nature - SN SciGraph project
152 rdf:type schema:Organization
153 Nb0f25e9eaac344699dd39f543cc2de22 rdf:first sg:person.01133722776.22
154 rdf:rest N7b105f897609405a9e6db605b9369abd
155 Nba2491ed6a614c47a0c0f249b5426465 rdf:first sg:person.0765424562.94
156 rdf:rest N321049a899b6404fa8251546c6a598f9
157 Nbd7329262bfb488fa567c3450e1988b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Recurrence
159 rdf:type schema:DefinedTerm
160 Nc256fbb91bae4260ac3c763c8e1d4e48 schema:name pubmed_id
161 schema:value 32468323
162 rdf:type schema:PropertyValue
163 Ncb0fb099fc4f47aab31ac4c310f425d5 rdf:first sg:person.016565511073.90
164 rdf:rest Nb0f25e9eaac344699dd39f543cc2de22
165 Nd6cfc353150f45328366820a182ecbe6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Humans
167 rdf:type schema:DefinedTerm
168 Ne65132efa33d4eba84b624c6a55334bd rdf:first sg:person.014375167473.01
169 rdf:rest N86881cb604ee47aeb8e23bcc6614e404
170 Ne9cb935ccca44c3b8f7c870606129fb1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Catheter Ablation
172 rdf:type schema:DefinedTerm
173 Nfdb0ccef125e4aa59f946a755f30e47e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Female
175 rdf:type schema:DefinedTerm
176 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
177 schema:name Medical and Health Sciences
178 rdf:type schema:DefinedTerm
179 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
180 schema:name Cardiorespiratory Medicine and Haematology
181 rdf:type schema:DefinedTerm
182 sg:journal.1116996 schema:issn 1383-875X
183 1573-725X
184 schema:name Journal of Interventional Cardiac Electrophysiology
185 schema:publisher Springer Nature
186 rdf:type schema:Periodical
187 sg:person.01014214033.25 schema:affiliation grid-institutes:grid.265073.5
188 schema:familyName Goya
189 schema:givenName Masahiko
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014214033.25
191 rdf:type schema:Person
192 sg:person.01133722776.22 schema:affiliation grid-institutes:grid.410775.0
193 schema:familyName Kato
194 schema:givenName Nobutaka
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133722776.22
196 rdf:type schema:Person
197 sg:person.01220630100.27 schema:affiliation grid-institutes:grid.265073.5
198 schema:familyName Hirao
199 schema:givenName Kenzo
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220630100.27
201 rdf:type schema:Person
202 sg:person.01266323017.37 schema:affiliation grid-institutes:grid.265073.5
203 schema:familyName Sasano
204 schema:givenName Tetsuo
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266323017.37
206 rdf:type schema:Person
207 sg:person.01371633425.76 schema:affiliation grid-institutes:grid.410775.0
208 schema:familyName Nitta
209 schema:givenName Junichi
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371633425.76
211 rdf:type schema:Person
212 sg:person.014375167473.01 schema:affiliation grid-institutes:grid.265073.5
213 schema:familyName Watanabe
214 schema:givenName Keita
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014375167473.01
216 rdf:type schema:Person
217 sg:person.016565511073.90 schema:affiliation grid-institutes:grid.410775.0
218 schema:familyName Inamura
219 schema:givenName Yukihiro
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016565511073.90
221 rdf:type schema:Person
222 sg:person.0666762626.37 schema:affiliation grid-institutes:grid.410775.0
223 schema:familyName Suzuki
224 schema:givenName Masahito
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666762626.37
226 rdf:type schema:Person
227 sg:person.0717074353.90 schema:affiliation grid-institutes:grid.410775.0
228 schema:familyName Sato
229 schema:givenName Akira
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0717074353.90
231 rdf:type schema:Person
232 sg:person.0765424562.94 schema:affiliation grid-institutes:grid.410775.0
233 schema:familyName Inaba
234 schema:givenName Osamu
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765424562.94
236 rdf:type schema:Person
237 sg:pub.10.1038/bmt.2012.244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028358194
238 https://doi.org/10.1038/bmt.2012.244
239 rdf:type schema:CreativeWork
240 grid-institutes:grid.265073.5 schema:alternateName Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan
241 schema:name Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan
242 Department of Cardiology, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, 113-8510, Tokyo, Japan
243 rdf:type schema:Organization
244 grid-institutes:grid.410775.0 schema:alternateName Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan
245 schema:name Department of Cardiology, Japanese Red Cross Saitama Hospital, 1-5 Shintoshin, Chuo-ku, 330-8553, Saitama-shi, Saitama, Japan
246 rdf:type schema:Organization
 




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


...