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

References to SciGraph publications

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 Nc9804d3f746c4310891aaf58de98692e
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 N2640388c9dcd43a89819672dd8141984
28 N7a1aff95f4fc43588e25828c99f15805
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 N2c354c43b2a74ca69576144948d47125
33 N850fb2f98a2f439da799c2399c44d6b9
34 N97ccd9fd3e814e9a8d4d3cdf28a38cec
35 N9e743e09754740b8bb99fc52007eaade
36 Nde674bef6d6647c3a58c77f869cffb98
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 Nab589a7583624f80bd2446162294aab7
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 N152f080ebf5a46888907be43355c1b3d rdf:first sg:person.01154450064.12
47 rdf:rest N64e78764867a4c769ba0f926e1b6ff53
48 N2640388c9dcd43a89819672dd8141984 schema:volumeNumber 38
49 rdf:type schema:PublicationVolume
50 N2c354c43b2a74ca69576144948d47125 schema:name nlm_unique_id
51 schema:value 8804297
52 rdf:type schema:PropertyValue
53 N4cc0065e378a41cb89f373d23f224d03 rdf:first sg:person.0622645533.86
54 rdf:rest N152f080ebf5a46888907be43355c1b3d
55 N5ab97886fdb84e018823579608f7091d rdf:first sg:person.0576631470.21
56 rdf:rest N8ab3987856e94b9383c5fdf3a206830e
57 N64e78764867a4c769ba0f926e1b6ff53 rdf:first sg:person.0755107432.87
58 rdf:rest rdf:nil
59 N6beead4d3c8743e881e5075a063cca30 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
60 schema:familyName Arnau-Barrés
61 schema:givenName Isabel
62 rdf:type schema:Person
63 N7a1aff95f4fc43588e25828c99f15805 schema:issueNumber 4
64 rdf:type schema:PublicationIssue
65 N850fb2f98a2f439da799c2399c44d6b9 schema:name dimensions_id
66 schema:value pub.1111640712
67 rdf:type schema:PropertyValue
68 N8ab3987856e94b9383c5fdf3a206830e rdf:first sg:person.01333154115.76
69 rdf:rest N4cc0065e378a41cb89f373d23f224d03
70 N97ccd9fd3e814e9a8d4d3cdf28a38cec schema:name pubmed_id
71 schema:value 30680575
72 rdf:type schema:PropertyValue
73 N9e743e09754740b8bb99fc52007eaade schema:name readcube_id
74 schema:value 4a43fd8eca677205f8025267701b3f06a7fb34e55260bdbf4fdd144dc474545d
75 rdf:type schema:PropertyValue
76 Nab589a7583624f80bd2446162294aab7 schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 Nc9804d3f746c4310891aaf58de98692e rdf:first N6beead4d3c8743e881e5075a063cca30
79 rdf:rest N5ab97886fdb84e018823579608f7091d
80 Nde674bef6d6647c3a58c77f869cffb98 schema:name doi
81 schema:value 10.1007/s10096-019-03478-2
82 rdf:type schema:PropertyValue
83 Nea6c5b1a2e6f44e798c407abad4f9988 schema:name Geriatrics Department, Barcelona, Spain
84 rdf:type schema:Organization
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 Nea6c5b1a2e6f44e798c407abad4f9988
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)


...