Serum albumin is a strong predictor of sepsis outcome in elderly patients View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Isabel Arnau-Barrés, Robert Güerri-Fernández, Sonia Luque, Luisa Sorli, Olga Vázquez, Ramón Miralles

ABSTRACT

The incidence of sepsis is disproportionately higher in elderly adults, and age is an independent predictor of mortality. Retrospective analysis was conducted among patients admitted to the emergency department in a tertiary teaching hospital from January 2016 to June 2017. To study the prognosis determinants of sepsis among elderly patients attended in the emergency room of a tertiary care hospital. As secondary objectives, we aimed to describe the causes of sepsis, the general outcome, and the general characteristics of these patients. Two hundred thirty-five episodes data of patients admitted throughout the 15-month study period who were diagnosed with sepsis, severe sepsis or septic shock, were included. Throughout the study cohort, 51 patients (21.7%) fulfilled the criteria of severe sepsis or septic shock. All-cause mortality was 11 patients (4.7%) on day 14 and 27 (11.5%) on day 30. Prognosis factors associated with 30-day mortality were the following: albumin level < 2.6 g/dl (first quartile of the overall population), odds ratio (OR 3.26, 95% CI 12-9.41; p = 0.029), Charlson comorbidity index (OR 1.23, 95% CI 1.04-1.45; p = 0.012), C-reactive protein on admission (OR 1.04, 95% CI 0.99-1.08; p = 0.062), and non-adequacy of the initial antimicrobial therapy (OR 3.3, 95% CI 1.06-10.4; p = 0.039). Among elderly patients with sepsis, strong predictors of mortality such as albumin could be considered as part of prognosis and future potential interventions. Adequacy of antimicrobial therapy at admission must be one of the objectives in the treatment of sepsis, also in the elderly, since it is an independent predictor of mortality. More... »

PAGES

743-746

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10096-019-03478-2

DOI

http://dx.doi.org/10.1007/s10096-019-03478-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111640712

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30680575


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "Geriatrics Department, Barcelona, Spain", 
            "Departament de Medicina, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arnau-Barr\u00e9s", 
        "givenName": "Isabel", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Departament de Medicina, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain", 
            "Infectious Diseases, Hospital del Mar Medical Research Institute, IMIM, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00fcerri-Fern\u00e1ndez", 
        "givenName": "Robert", 
        "id": "sg:person.0576631470.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576631470.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Pharmacy, Hospital del Mar Medical Research Insitute, IMIM, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luque", 
        "givenName": "Sonia", 
        "id": "sg:person.01333154115.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333154115.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Infectious Diseases, Hospital del Mar Medical Research Institute, IMIM, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sorli", 
        "givenName": "Luisa", 
        "id": "sg:person.0622645533.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622645533.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Geriatrics Department, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "V\u00e1zquez", 
        "givenName": "Olga", 
        "id": "sg:person.01154450064.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154450064.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "Geriatrics Department, Barcelona, Spain", 
            "Departament de Medicina, Universitat Aut\u00f2noma de Barcelona, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miralles", 
        "givenName": "Ram\u00f3n", 
        "id": "sg:person.0755107432.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755107432.87"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3109/00365549709008668", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001607395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1179/joc.1999.11.3.179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006627733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jstrokecerebrovasdis.2009.01.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010357508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000194535.82812.ba", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012907350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000194535.82812.ba", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012907350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/strokeaha.106.474569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013359579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/strokeaha.106.474569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013359579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10072-008-1024-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015384151", 
          "https://doi.org/10.1007/s10072-008-1024-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10072-008-1024-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015384151", 
          "https://doi.org/10.1007/s10072-008-1024-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/379825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029130972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000050454.01978.3b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038794529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000050454.01978.3b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038794529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03324834", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040877923", 
          "https://doi.org/10.1007/bf03324834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijcard.2016.05.067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042094861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2016.0287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045696843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.201604-0854oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063365528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5492/wjccm.v1.i1.23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072921834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmed.2017.00020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084433196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13049-017-0399-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085930545", 
          "https://doi.org/10.1186/s13049-017-0399-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13049-017-0399-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085930545", 
          "https://doi.org/10.1186/s13049-017-0399-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjmed.2017.07.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091108011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0191346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100382466"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "The incidence of sepsis is disproportionately higher in elderly adults, and age is an independent predictor of mortality. Retrospective analysis was conducted among patients admitted to the emergency department in a tertiary teaching hospital from January 2016 to June 2017. To study the prognosis determinants of sepsis among elderly patients attended in the emergency room of a tertiary care hospital. As secondary objectives, we aimed to describe the causes of sepsis, the general outcome, and the general characteristics of these patients. Two hundred thirty-five episodes data of patients admitted throughout the 15-month study period who were diagnosed with sepsis, severe sepsis or septic shock, were included. Throughout the study cohort, 51 patients (21.7%) fulfilled the criteria of severe sepsis or septic shock. All-cause mortality was 11 patients (4.7%) on day 14 and 27 (11.5%) on day 30. Prognosis factors associated with 30-day mortality were the following: albumin level <\u20092.6\u00a0g/dl (first quartile of the overall population), odds ratio (OR 3.26, 95% CI 12-9.41; p\u2009=\u20090.029), Charlson comorbidity index (OR 1.23, 95% CI 1.04-1.45; p\u2009=\u20090.012), C-reactive protein on admission (OR 1.04, 95% CI 0.99-1.08; p\u2009=\u20090.062), and non-adequacy of the initial antimicrobial therapy (OR 3.3, 95% CI 1.06-10.4; p\u2009=\u20090.039). Among elderly patients with sepsis, strong predictors of mortality such as albumin could be considered as part of prognosis and future potential interventions. Adequacy of antimicrobial therapy at admission must be one of the objectives in the treatment of sepsis, also in the elderly, since it is an independent predictor of mortality.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10096-019-03478-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1093599", 
        "issn": [
          "0934-9723", 
          "1435-4373"
        ], 
        "name": "European Journal of Clinical Microbiology & Infectious Diseases", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "Serum albumin is a strong predictor of sepsis outcome in elderly patients", 
    "pagination": "743-746", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4a43fd8eca677205f8025267701b3f06a7fb34e55260bdbf4fdd144dc474545d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30680575"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8804297"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10096-019-03478-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111640712"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10096-019-03478-2", 
      "https://app.dimensions.ai/details/publication/pub.1111640712"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:18", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000368_0000000368/records_78938_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10096-019-03478-2"
  }
]
 

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/s10096-019-03478-2'

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/s10096-019-03478-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10096-019-03478-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10096-019-03478-2'


 

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

165 TRIPLES      21 PREDICATES      46 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10096-019-03478-2 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Nec45c3749ab14b24812590273e4428fb
4 schema:citation sg:pub.10.1007/bf03324834
5 sg:pub.10.1007/s10072-008-1024-0
6 sg:pub.10.1186/s13049-017-0399-4
7 https://doi.org/10.1001/jama.2016.0287
8 https://doi.org/10.1016/j.amjmed.2017.07.020
9 https://doi.org/10.1016/j.ijcard.2016.05.067
10 https://doi.org/10.1016/j.jstrokecerebrovasdis.2009.01.015
11 https://doi.org/10.1086/379825
12 https://doi.org/10.1097/01.ccm.0000050454.01978.3b
13 https://doi.org/10.1097/01.ccm.0000194535.82812.ba
14 https://doi.org/10.1161/strokeaha.106.474569
15 https://doi.org/10.1164/rccm.201604-0854oc
16 https://doi.org/10.1179/joc.1999.11.3.179
17 https://doi.org/10.1371/journal.pone.0191346
18 https://doi.org/10.3109/00365549709008668
19 https://doi.org/10.3389/fmed.2017.00020
20 https://doi.org/10.5492/wjccm.v1.i1.23
21 schema:datePublished 2019-04
22 schema:datePublishedReg 2019-04-01
23 schema:description The incidence of sepsis is disproportionately higher in elderly adults, and age is an independent predictor of mortality. Retrospective analysis was conducted among patients admitted to the emergency department in a tertiary teaching hospital from January 2016 to June 2017. To study the prognosis determinants of sepsis among elderly patients attended in the emergency room of a tertiary care hospital. As secondary objectives, we aimed to describe the causes of sepsis, the general outcome, and the general characteristics of these patients. Two hundred thirty-five episodes data of patients admitted throughout the 15-month study period who were diagnosed with sepsis, severe sepsis or septic shock, were included. Throughout the study cohort, 51 patients (21.7%) fulfilled the criteria of severe sepsis or septic shock. All-cause mortality was 11 patients (4.7%) on day 14 and 27 (11.5%) on day 30. Prognosis factors associated with 30-day mortality were the following: albumin level < 2.6 g/dl (first quartile of the overall population), odds ratio (OR 3.26, 95% CI 12-9.41; p = 0.029), Charlson comorbidity index (OR 1.23, 95% CI 1.04-1.45; p = 0.012), C-reactive protein on admission (OR 1.04, 95% CI 0.99-1.08; p = 0.062), and non-adequacy of the initial antimicrobial therapy (OR 3.3, 95% CI 1.06-10.4; p = 0.039). Among elderly patients with sepsis, strong predictors of mortality such as albumin could be considered as part of prognosis and future potential interventions. Adequacy of antimicrobial therapy at admission must be one of the objectives in the treatment of sepsis, also in the elderly, since it is an independent predictor of mortality.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf N1527848bca1947cea8a607bb4e83ba29
28 N40ab06329949471799dfddb1a4ee8524
29 sg:journal.1093599
30 schema:name Serum albumin is a strong predictor of sepsis outcome in elderly patients
31 schema:pagination 743-746
32 schema:productId N005e8a0d8748472a88637a5e50d45fd2
33 N10b59cfa5253406f99e4fafaf7155f53
34 N332b7e71e8a748a7ae88ee9fd0c1ec6c
35 Na1a64ba13a03448f867b41634831b216
36 Ncdf8fad8f2c1401f98c8b11542d61af4
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111640712
38 https://doi.org/10.1007/s10096-019-03478-2
39 schema:sdDatePublished 2019-04-11T13:18
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher Nc6dfc77ca9ab4cc18724cc06dfd99036
42 schema:url https://link.springer.com/10.1007%2Fs10096-019-03478-2
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N005e8a0d8748472a88637a5e50d45fd2 schema:name doi
47 schema:value 10.1007/s10096-019-03478-2
48 rdf:type schema:PropertyValue
49 N10b59cfa5253406f99e4fafaf7155f53 schema:name dimensions_id
50 schema:value pub.1111640712
51 rdf:type schema:PropertyValue
52 N1527848bca1947cea8a607bb4e83ba29 schema:issueNumber 4
53 rdf:type schema:PublicationIssue
54 N332b7e71e8a748a7ae88ee9fd0c1ec6c schema:name nlm_unique_id
55 schema:value 8804297
56 rdf:type schema:PropertyValue
57 N40ab06329949471799dfddb1a4ee8524 schema:volumeNumber 38
58 rdf:type schema:PublicationVolume
59 N76edc9a670944bafb40a47fb81571de1 rdf:first sg:person.0622645533.86
60 rdf:rest Nc934ed67e30d43059c3f87c50c1fecfe
61 N9e90ed8a26a044c08e3dce4694f78a9e rdf:first sg:person.01333154115.76
62 rdf:rest N76edc9a670944bafb40a47fb81571de1
63 Na1a64ba13a03448f867b41634831b216 schema:name readcube_id
64 schema:value 4a43fd8eca677205f8025267701b3f06a7fb34e55260bdbf4fdd144dc474545d
65 rdf:type schema:PropertyValue
66 Nae8f69409dbb4cc1a8926b6c727b9895 schema:name Geriatrics Department, Barcelona, Spain
67 rdf:type schema:Organization
68 Nc6dfc77ca9ab4cc18724cc06dfd99036 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 Nc934ed67e30d43059c3f87c50c1fecfe rdf:first sg:person.01154450064.12
71 rdf:rest Nd5ad40af88dd4b4e8499137e682f1937
72 Ncc7713ea2a164cae8aadfae7eba819c0 rdf:first sg:person.0576631470.21
73 rdf:rest N9e90ed8a26a044c08e3dce4694f78a9e
74 Ncdf8fad8f2c1401f98c8b11542d61af4 schema:name pubmed_id
75 schema:value 30680575
76 rdf:type schema:PropertyValue
77 Nd5ad40af88dd4b4e8499137e682f1937 rdf:first sg:person.0755107432.87
78 rdf:rest rdf:nil
79 Ndd2c3059b50047d7aefd6df00e63594f schema:affiliation https://www.grid.ac/institutes/grid.7080.f
80 schema:familyName Arnau-Barrés
81 schema:givenName Isabel
82 rdf:type schema:Person
83 Nec45c3749ab14b24812590273e4428fb rdf:first Ndd2c3059b50047d7aefd6df00e63594f
84 rdf:rest Ncc7713ea2a164cae8aadfae7eba819c0
85 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
86 schema:name Medical and Health Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
89 schema:name Public Health and Health Services
90 rdf:type schema:DefinedTerm
91 sg:journal.1093599 schema:issn 0934-9723
92 1435-4373
93 schema:name European Journal of Clinical Microbiology & Infectious Diseases
94 rdf:type schema:Periodical
95 sg:person.01154450064.12 schema:affiliation Nae8f69409dbb4cc1a8926b6c727b9895
96 schema:familyName Vázquez
97 schema:givenName Olga
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154450064.12
99 rdf:type schema:Person
100 sg:person.01333154115.76 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
101 schema:familyName Luque
102 schema:givenName Sonia
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333154115.76
104 rdf:type schema:Person
105 sg:person.0576631470.21 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
106 schema:familyName Güerri-Fernández
107 schema:givenName Robert
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576631470.21
109 rdf:type schema:Person
110 sg:person.0622645533.86 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
111 schema:familyName Sorli
112 schema:givenName Luisa
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622645533.86
114 rdf:type schema:Person
115 sg:person.0755107432.87 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
116 schema:familyName Miralles
117 schema:givenName Ramón
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755107432.87
119 rdf:type schema:Person
120 sg:pub.10.1007/bf03324834 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040877923
121 https://doi.org/10.1007/bf03324834
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/s10072-008-1024-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015384151
124 https://doi.org/10.1007/s10072-008-1024-0
125 rdf:type schema:CreativeWork
126 sg:pub.10.1186/s13049-017-0399-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085930545
127 https://doi.org/10.1186/s13049-017-0399-4
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1001/jama.2016.0287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045696843
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.amjmed.2017.07.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091108011
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.ijcard.2016.05.067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042094861
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.jstrokecerebrovasdis.2009.01.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010357508
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1086/379825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029130972
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1097/01.ccm.0000050454.01978.3b schema:sameAs https://app.dimensions.ai/details/publication/pub.1038794529
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1097/01.ccm.0000194535.82812.ba schema:sameAs https://app.dimensions.ai/details/publication/pub.1012907350
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1161/strokeaha.106.474569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013359579
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1164/rccm.201604-0854oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1063365528
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1179/joc.1999.11.3.179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006627733
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1371/journal.pone.0191346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100382466
150 rdf:type schema:CreativeWork
151 https://doi.org/10.3109/00365549709008668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001607395
152 rdf:type schema:CreativeWork
153 https://doi.org/10.3389/fmed.2017.00020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084433196
154 rdf:type schema:CreativeWork
155 https://doi.org/10.5492/wjccm.v1.i1.23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072921834
156 rdf:type schema:CreativeWork
157 https://www.grid.ac/institutes/grid.411142.3 schema:alternateName Hospital Del Mar
158 schema:name Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
159 Infectious Diseases, Hospital del Mar Medical Research Institute, IMIM, Barcelona, Spain
160 Pharmacy, Hospital del Mar Medical Research Insitute, IMIM, Barcelona, Spain
161 rdf:type schema:Organization
162 https://www.grid.ac/institutes/grid.7080.f schema:alternateName Autonomous University of Barcelona
163 schema:name Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
164 Geriatrics Department, Barcelona, Spain
165 rdf:type schema:Organization
 




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


...