ST-segment elevation myocardial infarction with non-chest pain presentation at the Emergency Department: Insights from the Singapore Myocardial Infarction Registry View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-06-05

AUTHORS

Jeremy Zhenwen Pong, Andrew Fu Wah Ho, Timothy Xin Zhong Tan, Huili Zheng, Pin Pin Pek, Ching-Hui Sia, Derek John Hausenloy, Marcus Eng Hock Ong

ABSTRACT

ST-segment elevation myocardial infarction (STEMI) often presents acutely at the Emergency Department (ED). Although chest pain is a classical symptom, a significant proportion of patients do not present with chest pain. The impact of a non-chest pain (NCP) presentation on ED processes-of-care and outcomes is not fully understood. We utilised a national registry to characterise predictors, processes-of-care, and outcomes of NCP STEMI presentations. Retrospective data for all STEMI cases occurring between 2010 and 2012 were analysed from the Singapore Myocardial Infarction Registry. Cases of inpatient onset, inter-facility transfers, and out-of-hospital cardiac arrests were excluded. Univariable analysis of demographic, clinical, processes-of-care, and outcome variables was conducted. Multivariable logistic regression ascertained independent predictors of a NCP presentation and 28-day mortality. Of 4667 STEMI cases, 12.9% presented without chest pain. Patients with NCP presentation were older (median, years = 74 vs. 58; p < 0.001), more likely to be female (39.1% vs. 15.7%; p < 0.001), of the Chinese race (72.5% vs. 62.7%; p < 0.001), and with diabetes (48.6% vs. 36.7%; p < 0.001). These patients were more likely to present with syncope (6.0% vs. 1.9%; p < 0.001) or epigastric pain (10.6% vs. 4.9%; p < 0.001). Patients with NCP presentation were less likely to receive percutaneous coronary intervention (27.0% vs. 75.6%; p < 0.001), had longer door-to-balloon time (median, minutes = 83 vs. 63; p < 0.001), and experienced greater mortality at 28 days (31.2% vs. 4.5%; p < 0.001). On multivariable logistic regression, independent predictors of a NCP presentation included age (adjusted odds ratio [aOR] = 1.05, 95% confidence interval [CI] 1.04–1.07), diabetes (aOR = 1.76, 95% CI 1.40–2.19), BMI (aOR = 0.93, 95% CI 0.91–0.96), and dyslipidemia (aOR = 0.73, 95% CI 0.58–0.91). Absence of chest pain was an independent predictor for 28-day mortality (aOR = 3.46, 95% CI 2.64–4.52). Patients who presented with a NCP STEMI had a distinct clinical profile and experienced poorer outcomes. Routine triage ECG could be considered for patients with high-risk factors and non-classical symptoms. More... »

PAGES

989-997

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11739-019-02122-3

DOI

http://dx.doi.org/10.1007/s11739-019-02122-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1116668494

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31165979


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chi-Square Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diagnosis, Differential", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Emergency Service, Hospital", 
        "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": "Logistic Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Registries", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "ST Elevation Myocardial Infarction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Singapore", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Statistics, Nonparametric", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Duke-NUS Medical School, National University of Singapore, Singapore, Singapore", 
          "id": "http://www.grid.ac/institutes/grid.428397.3", 
          "name": [
            "Duke-NUS Medical School, National University of Singapore, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pong", 
        "givenName": "Jeremy Zhenwen", 
        "id": "sg:person.014320556661.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014320556661.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore", 
          "id": "http://www.grid.ac/institutes/grid.419385.2", 
          "name": [
            "SingHealth Duke-NUS Emergency Medicine Academic Clinical Programme, Singapore, Singapore", 
            "Signature Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore", 
            "National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ho", 
        "givenName": "Andrew Fu Wah", 
        "id": "sg:person.01120530645.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120530645.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Emergency Medicine Residency Program, SingHealth Services, Singapore, Singapore", 
          "id": "http://www.grid.ac/institutes/grid.453420.4", 
          "name": [
            "Emergency Medicine Residency Program, SingHealth Services, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tan", 
        "givenName": "Timothy Xin Zhong", 
        "id": "sg:person.01301311545.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301311545.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Registry of Diseases Office, Health Promotion Board, Singapore, Singapore", 
          "id": "http://www.grid.ac/institutes/grid.413892.5", 
          "name": [
            "National Registry of Diseases Office, Health Promotion Board, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zheng", 
        "givenName": "Huili", 
        "id": "sg:person.0777611213.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777611213.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore", 
          "id": "http://www.grid.ac/institutes/grid.163555.1", 
          "name": [
            "Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pek", 
        "givenName": "Pin Pin", 
        "id": "sg:person.01061305651.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061305651.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, National University Heart Centre, Singapore, Singapore", 
          "id": "http://www.grid.ac/institutes/grid.488497.e", 
          "name": [
            "Department of Cardiology, National University Heart Centre, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sia", 
        "givenName": "Ching-Hui", 
        "id": "sg:person.01211300047.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211300047.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tecnologico de Monterrey, Centro de Biotecnologia-FEMSA, Nuevo Le\u00f3n, Mexico", 
          "id": "http://www.grid.ac/institutes/grid.419886.a", 
          "name": [
            "Signature Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore", 
            "National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore", 
            "Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore", 
            "The Hatter Cardiovascular Institute, University College London, London, UK", 
            "The National Institute of Health Research University College London Hospitals Biomedical Research Centre, Research and Development, London, UK", 
            "Tecnologico de Monterrey, Centro de Biotecnologia-FEMSA, Nuevo Le\u00f3n, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hausenloy", 
        "givenName": "Derek John", 
        "id": "sg:person.07403626677.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07403626677.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Health Service Research Centre, Singapore Health Services, Academia, 20 College Road, 169856, Singapore, Singapore", 
          "id": "http://www.grid.ac/institutes/grid.453420.4", 
          "name": [
            "Duke-NUS Medical School, National University of Singapore, Singapore, Singapore", 
            "Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore", 
            "Health Service Research Centre, Singapore Health Services, Academia, 20 College Road, 169856, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ong", 
        "givenName": "Marcus Eng Hock", 
        "id": "sg:person.01176424774.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176424774.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11739-016-1550-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044045823", 
          "https://doi.org/10.1007/s11739-016-1550-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-014-9961-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008699744", 
          "https://doi.org/10.1007/s10654-014-9961-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1017/cem.2016.376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020246121", 
          "https://doi.org/10.1017/cem.2016.376"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-06-05", 
    "datePublishedReg": "2019-06-05", 
    "description": "ST-segment elevation myocardial infarction (STEMI) often presents acutely at the Emergency Department (ED). Although chest pain is a classical symptom, a significant proportion of patients do not present with chest pain. The impact of a non-chest pain (NCP) presentation on ED processes-of-care and outcomes is not fully understood. We utilised a national registry to characterise predictors, processes-of-care, and outcomes of NCP STEMI presentations. Retrospective data for all STEMI cases occurring between 2010 and 2012 were analysed from the Singapore Myocardial Infarction Registry. Cases of inpatient onset, inter-facility transfers, and out-of-hospital cardiac arrests were excluded. Univariable analysis of demographic, clinical, processes-of-care, and outcome variables was conducted. Multivariable logistic regression ascertained independent predictors of a NCP presentation and 28-day mortality. Of 4667 STEMI cases, 12.9% presented without chest pain. Patients with NCP presentation were older (median, years\u2009=\u200974 vs. 58; p\u2009<\u20090.001), more likely to be female (39.1% vs. 15.7%; p\u2009<\u20090.001), of the Chinese race (72.5% vs. 62.7%; p\u2009<\u20090.001), and with diabetes (48.6% vs. 36.7%; p\u2009<\u20090.001). These patients were more likely to present with syncope (6.0% vs. 1.9%; p\u2009<\u20090.001) or epigastric pain (10.6% vs. 4.9%; p\u2009<\u20090.001). Patients with NCP presentation were less likely to receive percutaneous coronary intervention (27.0% vs. 75.6%; p\u2009<\u20090.001), had longer door-to-balloon time (median, minutes\u2009=\u200983 vs. 63; p\u2009<\u20090.001), and experienced greater mortality at 28\u00a0days (31.2% vs. 4.5%; p\u2009<\u20090.001). On multivariable logistic regression, independent predictors of a NCP presentation included age (adjusted odds ratio [aOR]\u2009=\u20091.05, 95% confidence interval [CI] 1.04\u20131.07), diabetes (aOR\u2009=\u20091.76, 95% CI 1.40\u20132.19), BMI (aOR\u2009=\u20090.93, 95% CI 0.91\u20130.96), and dyslipidemia (aOR\u2009=\u20090.73, 95% CI 0.58\u20130.91). Absence of chest pain was an independent predictor for 28-day mortality (aOR\u2009=\u20093.46, 95% CI 2.64\u20134.52). Patients who presented with a NCP STEMI had a distinct clinical profile and experienced poorer outcomes. Routine triage ECG could be considered for patients with high-risk factors and non-classical symptoms.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11739-019-02122-3", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5135633", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1295016", 
        "issn": [
          "1828-0447", 
          "1970-9366"
        ], 
        "name": "Internal and Emergency Medicine", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "keywords": [
      "ST-segment elevation myocardial infarction", 
      "Singapore Myocardial Infarction Registry", 
      "elevation myocardial infarction", 
      "Myocardial Infarction Registry", 
      "multivariable logistic regression", 
      "chest pain", 
      "independent predictors", 
      "emergency department", 
      "pain presentations", 
      "myocardial infarction", 
      "STEMI cases", 
      "logistic regression", 
      "percutaneous coronary intervention", 
      "hospital cardiac arrest", 
      "high-risk factors", 
      "non-classical symptoms", 
      "distinct clinical profile", 
      "inter-facility transfer", 
      "STEMI presentation", 
      "epigastric pain", 
      "coronary intervention", 
      "longer door", 
      "balloon time", 
      "univariable analysis", 
      "clinical profile", 
      "poor outcome", 
      "cardiac arrest", 
      "national registry", 
      "classical symptoms", 
      "pain", 
      "patients", 
      "triage ECG", 
      "retrospective data", 
      "registry", 
      "outcome variables", 
      "mortality", 
      "care", 
      "greater mortality", 
      "infarction", 
      "diabetes", 
      "symptoms", 
      "significant proportion", 
      "presentation", 
      "outcomes", 
      "predictors", 
      "Department", 
      "dyslipidemia", 
      "syncope", 
      "BMI", 
      "Chinese race", 
      "regression", 
      "cases", 
      "intervention", 
      "ECG", 
      "age", 
      "arrest", 
      "onset", 
      "days", 
      "proportion", 
      "factors", 
      "absence", 
      "race", 
      "profile", 
      "ED process", 
      "data", 
      "variables", 
      "impact", 
      "time", 
      "analysis", 
      "insights", 
      "door", 
      "process", 
      "transfer"
    ], 
    "name": "ST-segment elevation myocardial infarction with non-chest pain presentation at the Emergency Department: Insights from the Singapore Myocardial Infarction Registry", 
    "pagination": "989-997", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1116668494"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11739-019-02122-3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "31165979"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11739-019-02122-3", 
      "https://app.dimensions.ai/details/publication/pub.1116668494"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_823.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11739-019-02122-3"
  }
]
 

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/s11739-019-02122-3'

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/s11739-019-02122-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11739-019-02122-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11739-019-02122-3'


 

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

290 TRIPLES      21 PREDICATES      117 URIs      106 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11739-019-02122-3 schema:about N14093ec49d724f22ba0daefc779103ad
2 N1be248b99d844f449dc70bb90186f9bc
3 N2de668f8a222454db44baf4d3cd7955d
4 N433623d499c04a30b8c35591f64f983a
5 N5f3ada91b0eb4ea78a852d220a27ffaf
6 N62a68186955045f8be3211c67843ee9c
7 N67c62f67b8674e82b1e5b69d00eadcf2
8 N8dfdbfedcd4e46bc978117601873ca1f
9 N99b1dde3d2134227ac0729dae25d8031
10 Nad4c8d8681bc49bb97ed93c24b2f52f8
11 Nb1220afb01b74de690a5f51e7bb4a579
12 Ne0a3bd75330449e59c098bb72e58909c
13 Ne5c9aee87f8b49f4a27842dcb5d90118
14 Nf2ae689601f14de6a5079ec109675ee5
15 Nf72db0b4622e4df08fbd31b853e1d523
16 Nfd63eef45ea34aa5ab7dc9815ef606a6
17 anzsrc-for:11
18 anzsrc-for:1117
19 schema:author N75416c87b2b64f02b776ca14c216a613
20 schema:citation sg:pub.10.1007/s10654-014-9961-9
21 sg:pub.10.1007/s11739-016-1550-3
22 sg:pub.10.1017/cem.2016.376
23 schema:datePublished 2019-06-05
24 schema:datePublishedReg 2019-06-05
25 schema:description ST-segment elevation myocardial infarction (STEMI) often presents acutely at the Emergency Department (ED). Although chest pain is a classical symptom, a significant proportion of patients do not present with chest pain. The impact of a non-chest pain (NCP) presentation on ED processes-of-care and outcomes is not fully understood. We utilised a national registry to characterise predictors, processes-of-care, and outcomes of NCP STEMI presentations. Retrospective data for all STEMI cases occurring between 2010 and 2012 were analysed from the Singapore Myocardial Infarction Registry. Cases of inpatient onset, inter-facility transfers, and out-of-hospital cardiac arrests were excluded. Univariable analysis of demographic, clinical, processes-of-care, and outcome variables was conducted. Multivariable logistic regression ascertained independent predictors of a NCP presentation and 28-day mortality. Of 4667 STEMI cases, 12.9% presented without chest pain. Patients with NCP presentation were older (median, years = 74 vs. 58; p < 0.001), more likely to be female (39.1% vs. 15.7%; p < 0.001), of the Chinese race (72.5% vs. 62.7%; p < 0.001), and with diabetes (48.6% vs. 36.7%; p < 0.001). These patients were more likely to present with syncope (6.0% vs. 1.9%; p < 0.001) or epigastric pain (10.6% vs. 4.9%; p < 0.001). Patients with NCP presentation were less likely to receive percutaneous coronary intervention (27.0% vs. 75.6%; p < 0.001), had longer door-to-balloon time (median, minutes = 83 vs. 63; p < 0.001), and experienced greater mortality at 28 days (31.2% vs. 4.5%; p < 0.001). On multivariable logistic regression, independent predictors of a NCP presentation included age (adjusted odds ratio [aOR] = 1.05, 95% confidence interval [CI] 1.04–1.07), diabetes (aOR = 1.76, 95% CI 1.40–2.19), BMI (aOR = 0.93, 95% CI 0.91–0.96), and dyslipidemia (aOR = 0.73, 95% CI 0.58–0.91). Absence of chest pain was an independent predictor for 28-day mortality (aOR = 3.46, 95% CI 2.64–4.52). Patients who presented with a NCP STEMI had a distinct clinical profile and experienced poorer outcomes. Routine triage ECG could be considered for patients with high-risk factors and non-classical symptoms.
26 schema:genre article
27 schema:isAccessibleForFree true
28 schema:isPartOf N2b76ca10dde343778bd67977669fd22e
29 Nfa9aab63a5634e2491acb87b40a66e6c
30 sg:journal.1295016
31 schema:keywords BMI
32 Chinese race
33 Department
34 ECG
35 ED process
36 Myocardial Infarction Registry
37 ST-segment elevation myocardial infarction
38 STEMI cases
39 STEMI presentation
40 Singapore Myocardial Infarction Registry
41 absence
42 age
43 analysis
44 arrest
45 balloon time
46 cardiac arrest
47 care
48 cases
49 chest pain
50 classical symptoms
51 clinical profile
52 coronary intervention
53 data
54 days
55 diabetes
56 distinct clinical profile
57 door
58 dyslipidemia
59 elevation myocardial infarction
60 emergency department
61 epigastric pain
62 factors
63 greater mortality
64 high-risk factors
65 hospital cardiac arrest
66 impact
67 independent predictors
68 infarction
69 insights
70 inter-facility transfer
71 intervention
72 logistic regression
73 longer door
74 mortality
75 multivariable logistic regression
76 myocardial infarction
77 national registry
78 non-classical symptoms
79 onset
80 outcome variables
81 outcomes
82 pain
83 pain presentations
84 patients
85 percutaneous coronary intervention
86 poor outcome
87 predictors
88 presentation
89 process
90 profile
91 proportion
92 race
93 registry
94 regression
95 retrospective data
96 significant proportion
97 symptoms
98 syncope
99 time
100 transfer
101 triage ECG
102 univariable analysis
103 variables
104 schema:name ST-segment elevation myocardial infarction with non-chest pain presentation at the Emergency Department: Insights from the Singapore Myocardial Infarction Registry
105 schema:pagination 989-997
106 schema:productId N21f20f027f55429c990f73fac96ba19c
107 N2e14b1cf5fcf4fa0b3d6cf326686c679
108 N4e4f690a5efb4110b016518246cbce76
109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1116668494
110 https://doi.org/10.1007/s11739-019-02122-3
111 schema:sdDatePublished 2022-08-04T17:09
112 schema:sdLicense https://scigraph.springernature.com/explorer/license/
113 schema:sdPublisher N94d4c993b69645dc85510974671cb60a
114 schema:url https://doi.org/10.1007/s11739-019-02122-3
115 sgo:license sg:explorer/license/
116 sgo:sdDataset articles
117 rdf:type schema:ScholarlyArticle
118 N0ee1731207014a45be8d42c0e6454707 rdf:first sg:person.0777611213.41
119 rdf:rest N57d6601edf934bf1bf269addd4fb6c60
120 N14093ec49d724f22ba0daefc779103ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Middle Aged
122 rdf:type schema:DefinedTerm
123 N1be248b99d844f449dc70bb90186f9bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Statistics, Nonparametric
125 rdf:type schema:DefinedTerm
126 N200fbf06299d4efeaf1f69ed21d07c62 rdf:first sg:person.07403626677.30
127 rdf:rest Ne8363a13c6bc4c55ad9411ed8b9da564
128 N21f20f027f55429c990f73fac96ba19c schema:name pubmed_id
129 schema:value 31165979
130 rdf:type schema:PropertyValue
131 N2b76ca10dde343778bd67977669fd22e schema:volumeNumber 14
132 rdf:type schema:PublicationVolume
133 N2de668f8a222454db44baf4d3cd7955d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Singapore
135 rdf:type schema:DefinedTerm
136 N2e14b1cf5fcf4fa0b3d6cf326686c679 schema:name doi
137 schema:value 10.1007/s11739-019-02122-3
138 rdf:type schema:PropertyValue
139 N433623d499c04a30b8c35591f64f983a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Humans
141 rdf:type schema:DefinedTerm
142 N4e4f690a5efb4110b016518246cbce76 schema:name dimensions_id
143 schema:value pub.1116668494
144 rdf:type schema:PropertyValue
145 N57d6601edf934bf1bf269addd4fb6c60 rdf:first sg:person.01061305651.53
146 rdf:rest Nef305e0e7677482597fbde135fd9e5aa
147 N5f3ada91b0eb4ea78a852d220a27ffaf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Chi-Square Distribution
149 rdf:type schema:DefinedTerm
150 N62a68186955045f8be3211c67843ee9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Adult
152 rdf:type schema:DefinedTerm
153 N67c62f67b8674e82b1e5b69d00eadcf2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Male
155 rdf:type schema:DefinedTerm
156 N75416c87b2b64f02b776ca14c216a613 rdf:first sg:person.014320556661.56
157 rdf:rest Neb433cdb58b941e385218276de38a81d
158 N8dfdbfedcd4e46bc978117601873ca1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Aged
160 rdf:type schema:DefinedTerm
161 N94d4c993b69645dc85510974671cb60a schema:name Springer Nature - SN SciGraph project
162 rdf:type schema:Organization
163 N99b1dde3d2134227ac0729dae25d8031 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name ST Elevation Myocardial Infarction
165 rdf:type schema:DefinedTerm
166 Nad4c8d8681bc49bb97ed93c24b2f52f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Retrospective Studies
168 rdf:type schema:DefinedTerm
169 Nae3dfd88074746aab0155fd23b40b0a3 rdf:first sg:person.01301311545.75
170 rdf:rest N0ee1731207014a45be8d42c0e6454707
171 Nb1220afb01b74de690a5f51e7bb4a579 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Aged, 80 and over
173 rdf:type schema:DefinedTerm
174 Ne0a3bd75330449e59c098bb72e58909c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Logistic Models
176 rdf:type schema:DefinedTerm
177 Ne5c9aee87f8b49f4a27842dcb5d90118 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Emergency Service, Hospital
179 rdf:type schema:DefinedTerm
180 Ne8363a13c6bc4c55ad9411ed8b9da564 rdf:first sg:person.01176424774.01
181 rdf:rest rdf:nil
182 Neb433cdb58b941e385218276de38a81d rdf:first sg:person.01120530645.43
183 rdf:rest Nae3dfd88074746aab0155fd23b40b0a3
184 Nef305e0e7677482597fbde135fd9e5aa rdf:first sg:person.01211300047.44
185 rdf:rest N200fbf06299d4efeaf1f69ed21d07c62
186 Nf2ae689601f14de6a5079ec109675ee5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Diagnosis, Differential
188 rdf:type schema:DefinedTerm
189 Nf72db0b4622e4df08fbd31b853e1d523 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Female
191 rdf:type schema:DefinedTerm
192 Nfa9aab63a5634e2491acb87b40a66e6c schema:issueNumber 6
193 rdf:type schema:PublicationIssue
194 Nfd63eef45ea34aa5ab7dc9815ef606a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Registries
196 rdf:type schema:DefinedTerm
197 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
198 schema:name Medical and Health Sciences
199 rdf:type schema:DefinedTerm
200 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
201 schema:name Public Health and Health Services
202 rdf:type schema:DefinedTerm
203 sg:grant.5135633 http://pending.schema.org/fundedItem sg:pub.10.1007/s11739-019-02122-3
204 rdf:type schema:MonetaryGrant
205 sg:journal.1295016 schema:issn 1828-0447
206 1970-9366
207 schema:name Internal and Emergency Medicine
208 schema:publisher Springer Nature
209 rdf:type schema:Periodical
210 sg:person.01061305651.53 schema:affiliation grid-institutes:grid.163555.1
211 schema:familyName Pek
212 schema:givenName Pin Pin
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061305651.53
214 rdf:type schema:Person
215 sg:person.01120530645.43 schema:affiliation grid-institutes:grid.419385.2
216 schema:familyName Ho
217 schema:givenName Andrew Fu Wah
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120530645.43
219 rdf:type schema:Person
220 sg:person.01176424774.01 schema:affiliation grid-institutes:grid.453420.4
221 schema:familyName Ong
222 schema:givenName Marcus Eng Hock
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176424774.01
224 rdf:type schema:Person
225 sg:person.01211300047.44 schema:affiliation grid-institutes:grid.488497.e
226 schema:familyName Sia
227 schema:givenName Ching-Hui
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211300047.44
229 rdf:type schema:Person
230 sg:person.01301311545.75 schema:affiliation grid-institutes:grid.453420.4
231 schema:familyName Tan
232 schema:givenName Timothy Xin Zhong
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301311545.75
234 rdf:type schema:Person
235 sg:person.014320556661.56 schema:affiliation grid-institutes:grid.428397.3
236 schema:familyName Pong
237 schema:givenName Jeremy Zhenwen
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014320556661.56
239 rdf:type schema:Person
240 sg:person.07403626677.30 schema:affiliation grid-institutes:grid.419886.a
241 schema:familyName Hausenloy
242 schema:givenName Derek John
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07403626677.30
244 rdf:type schema:Person
245 sg:person.0777611213.41 schema:affiliation grid-institutes:grid.413892.5
246 schema:familyName Zheng
247 schema:givenName Huili
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777611213.41
249 rdf:type schema:Person
250 sg:pub.10.1007/s10654-014-9961-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008699744
251 https://doi.org/10.1007/s10654-014-9961-9
252 rdf:type schema:CreativeWork
253 sg:pub.10.1007/s11739-016-1550-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044045823
254 https://doi.org/10.1007/s11739-016-1550-3
255 rdf:type schema:CreativeWork
256 sg:pub.10.1017/cem.2016.376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020246121
257 https://doi.org/10.1017/cem.2016.376
258 rdf:type schema:CreativeWork
259 grid-institutes:grid.163555.1 schema:alternateName Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore
260 schema:name Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore
261 rdf:type schema:Organization
262 grid-institutes:grid.413892.5 schema:alternateName National Registry of Diseases Office, Health Promotion Board, Singapore, Singapore
263 schema:name National Registry of Diseases Office, Health Promotion Board, Singapore, Singapore
264 rdf:type schema:Organization
265 grid-institutes:grid.419385.2 schema:alternateName National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore
266 schema:name National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore
267 Signature Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore
268 SingHealth Duke-NUS Emergency Medicine Academic Clinical Programme, Singapore, Singapore
269 rdf:type schema:Organization
270 grid-institutes:grid.419886.a schema:alternateName Tecnologico de Monterrey, Centro de Biotecnologia-FEMSA, Nuevo León, Mexico
271 schema:name National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore
272 Signature Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore
273 Tecnologico de Monterrey, Centro de Biotecnologia-FEMSA, Nuevo León, Mexico
274 The Hatter Cardiovascular Institute, University College London, London, UK
275 The National Institute of Health Research University College London Hospitals Biomedical Research Centre, Research and Development, London, UK
276 Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
277 rdf:type schema:Organization
278 grid-institutes:grid.428397.3 schema:alternateName Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
279 schema:name Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
280 rdf:type schema:Organization
281 grid-institutes:grid.453420.4 schema:alternateName Emergency Medicine Residency Program, SingHealth Services, Singapore, Singapore
282 Health Service Research Centre, Singapore Health Services, Academia, 20 College Road, 169856, Singapore, Singapore
283 schema:name Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore
284 Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
285 Emergency Medicine Residency Program, SingHealth Services, Singapore, Singapore
286 Health Service Research Centre, Singapore Health Services, Academia, 20 College Road, 169856, Singapore, Singapore
287 rdf:type schema:Organization
288 grid-institutes:grid.488497.e schema:alternateName Department of Cardiology, National University Heart Centre, Singapore, Singapore
289 schema:name Department of Cardiology, National University Heart Centre, Singapore, Singapore
290 rdf:type schema:Organization
 




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


...