Low humoral immune response to the BNT162b2 vaccine against COVID-19 in nursing home residents undergoing hemodialysis: a case–control observational study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-03-16

AUTHORS

Mineaki Kitamura, Takahiro Takazono, Kazuko Yamamoto, Takashi Harada, Satoshi Funakoshi, Hiroshi Mukae, Tomoya Nishino

ABSTRACT

BackgroundPatients on hemodialysis (HD) face a high mortality risk from coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and they are therefore prioritized for vaccination. However, the efficacy of vaccination in this vulnerable population has not been confirmed. Although age is negatively correlated with serum immunoglobulin (Ig) levels, humoral responses to vaccination in elderly patients undergoing HD have not been investigated. To address this issue, we evaluated the anti-SARS-CoV-2 spike protein antibodies in nursing home residents on HD after BNT162b2 vaccine administration.MethodsPatients on HD from a nursing home and care workers (controls) receiving two doses of the BNT162b2 vaccine between April and May 2021 were enrolled in this study. Those with a prior history of COVID-19 were excluded. Anti-spike protein antibodies were measured with the Elecsys (Roche) immunoassay system.ResultsThe study included 26 nursing home residents (41% male; median age, 86 years) and 184 care workers (28% male; median age, 45 years). The median HD vintage was 51 months. After two doses of BNT162b2, 73% of the nursing home residents and 99.5% of the control group developed sufficient anti-spike protein antibodies (> 29 U/mL) to neutralize SARS-CoV-2. Three weeks after the second dose, median IgG titers of the residents and care workers were 83 [interquartile range (IQR) 17–511] and 1365 (IQR 847–2245) U/mL, respectively (p < 0.001).ConclusionsThe humoral response to BNT162b2 among elderly HD patients was relatively low; therefore, the optimal vaccination strategy for this population should be studied further to avoid COVID-19 outbreaks in healthcare facilities. More... »

PAGES

8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s41100-022-00397-5

DOI

http://dx.doi.org/10.1186/s41100-022-00397-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1146307384

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35308296


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, 852-8501, Nagasaki, Japan", 
          "id": "http://www.grid.ac/institutes/grid.174567.6", 
          "name": [
            "Nagasaki Renal Center, Nagasaki, Japan", 
            "Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, 852-8501, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kitamura", 
        "givenName": "Mineaki", 
        "id": "sg:person.01131130717.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131130717.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411873.8", 
          "name": [
            "Department of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan", 
            "Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takazono", 
        "givenName": "Takahiro", 
        "id": "sg:person.01001201577.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001201577.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411873.8", 
          "name": [
            "Department of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan", 
            "Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamoto", 
        "givenName": "Kazuko", 
        "id": "sg:person.0755576305.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755576305.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagasaki Renal Center, Nagasaki, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Nagasaki Renal Center, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harada", 
        "givenName": "Takashi", 
        "id": "sg:person.013431432342.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013431432342.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagasaki Renal Center, Nagasaki, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Nagasaki Renal Center, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Funakoshi", 
        "givenName": "Satoshi", 
        "id": "sg:person.015002765153.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015002765153.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan", 
          "id": "http://www.grid.ac/institutes/grid.174567.6", 
          "name": [
            "Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan", 
            "Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mukae", 
        "givenName": "Hiroshi", 
        "id": "sg:person.01143125277.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143125277.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, 852-8501, Nagasaki, Japan", 
          "id": "http://www.grid.ac/institutes/grid.174567.6", 
          "name": [
            "Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, 852-8501, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishino", 
        "givenName": "Tomoya", 
        "id": "sg:person.0746567117.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746567117.73"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s12979-021-00246-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1140558287", 
          "https://doi.org/10.1186/s12979-021-00246-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40121-021-00475-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1138916179", 
          "https://doi.org/10.1007/s40121-021-00475-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41581-021-00406-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1135201114", 
          "https://doi.org/10.1038/s41581-021-00406-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrneph.2013.44", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037614149", 
          "https://doi.org/10.1038/nrneph.2013.44"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s41100-020-00286-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1130619358", 
          "https://doi.org/10.1186/s41100-020-00286-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41581-020-0280-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1126155565", 
          "https://doi.org/10.1038/s41581-020-0280-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12979-019-0164-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1120996331", 
          "https://doi.org/10.1186/s12979-019-0164-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12865-021-00448-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1140919785", 
          "https://doi.org/10.1186/s12865-021-00448-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-03-16", 
    "datePublishedReg": "2022-03-16", 
    "description": "BackgroundPatients on hemodialysis (HD) face a high mortality risk from coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and they are therefore prioritized for vaccination. However, the efficacy of vaccination in this vulnerable population has not been confirmed. Although age is negatively correlated with serum immunoglobulin (Ig) levels, humoral responses to vaccination in elderly patients undergoing HD have not been investigated. To address this issue, we evaluated the anti-SARS-CoV-2 spike protein antibodies in nursing home residents on HD after BNT162b2 vaccine administration.MethodsPatients on HD from a nursing home and care workers (controls) receiving two doses of the BNT162b2 vaccine between April and May 2021 were enrolled in this study. Those with a prior history of COVID-19 were excluded. Anti-spike protein antibodies were measured with the Elecsys (Roche) immunoassay system.ResultsThe study included 26 nursing home residents (41% male; median age, 86\u00a0years) and 184 care workers (28% male; median age, 45\u00a0years). The median HD vintage was 51\u00a0months. After two doses of BNT162b2, 73% of the nursing home residents and 99.5% of the control group developed sufficient anti-spike protein antibodies (>\u200929\u00a0U/mL) to neutralize SARS-CoV-2. Three weeks after the second dose, median IgG titers of the residents and care workers were 83 [interquartile range (IQR) 17\u2013511] and 1365 (IQR 847\u20132245)\u00a0U/mL, respectively (p\u2009<\u20090.001).ConclusionsThe humoral response to BNT162b2 among elderly HD patients was relatively low; therefore, the optimal vaccination strategy for this population should be studied further to avoid COVID-19 outbreaks in healthcare facilities.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s41100-022-00397-5", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1151526", 
        "issn": [
          "2059-1381"
        ], 
        "name": "Renal Replacement Therapy", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "keywords": [
      "nursing home residents", 
      "anti-spike protein antibodies", 
      "home residents", 
      "care workers", 
      "protein antibodies", 
      "BNT162b2 vaccine", 
      "humoral response", 
      "severe acute respiratory syndrome coronavirus 2", 
      "acute respiratory syndrome coronavirus 2", 
      "case-control observational study", 
      "respiratory syndrome coronavirus 2", 
      "SARS-CoV-2 spike protein antibodies", 
      "BNT162b2 vaccine administration", 
      "median HD vintage", 
      "doses of BNT162b2", 
      "median IgG titer", 
      "elderly HD patients", 
      "lower humoral immune response", 
      "serum immunoglobulin levels", 
      "efficacy of vaccination", 
      "syndrome coronavirus 2", 
      "humoral immune response", 
      "higher mortality risk", 
      "spike protein antibodies", 
      "coronavirus disease 2019", 
      "COVID-19", 
      "SARS-CoV-2", 
      "optimal vaccination strategy", 
      "HD vintage", 
      "elderly patients", 
      "second dose", 
      "IgG titers", 
      "HD patients", 
      "immunoglobulin levels", 
      "vaccine administration", 
      "coronavirus 2", 
      "vaccination strategies", 
      "ResultsThe study", 
      "observational study", 
      "disease 2019", 
      "prior history", 
      "immune response", 
      "mortality risk", 
      "hemodialysis", 
      "nursing homes", 
      "control group", 
      "vaccination", 
      "vulnerable populations", 
      "healthcare facilities", 
      "COVID-19 outbreak", 
      "BNT162b2", 
      "antibodies", 
      "patients", 
      "vaccine", 
      "doses", 
      "immunoassay system", 
      "residents", 
      "MethodsPatients", 
      "BackgroundPatients", 
      "response", 
      "population", 
      "administration", 
      "dose", 
      "titers", 
      "weeks", 
      "workers", 
      "months", 
      "study", 
      "efficacy", 
      "age", 
      "risk", 
      "outbreak", 
      "group", 
      "home", 
      "levels", 
      "history", 
      "vintage", 
      "strategies", 
      "facilities", 
      "issues", 
      "system"
    ], 
    "name": "Low humoral immune response to the BNT162b2 vaccine against COVID-19 in nursing home residents undergoing hemodialysis: a case\u2013control observational study", 
    "pagination": "8", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1146307384"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s41100-022-00397-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35308296"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s41100-022-00397-5", 
      "https://app.dimensions.ai/details/publication/pub.1146307384"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:08", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_942.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s41100-022-00397-5"
  }
]
 

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.10.1186/s41100-022-00397-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s41100-022-00397-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s41100-022-00397-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s41100-022-00397-5'


 

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

226 TRIPLES      21 PREDICATES      114 URIs      98 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s41100-022-00397-5 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N858ff84507584508a719fc77678bb1a9
4 schema:citation sg:pub.10.1007/s40121-021-00475-x
5 sg:pub.10.1038/nrneph.2013.44
6 sg:pub.10.1038/s41581-020-0280-y
7 sg:pub.10.1038/s41581-021-00406-6
8 sg:pub.10.1186/s12865-021-00448-2
9 sg:pub.10.1186/s12979-019-0164-9
10 sg:pub.10.1186/s12979-021-00246-9
11 sg:pub.10.1186/s41100-020-00286-9
12 schema:datePublished 2022-03-16
13 schema:datePublishedReg 2022-03-16
14 schema:description BackgroundPatients on hemodialysis (HD) face a high mortality risk from coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and they are therefore prioritized for vaccination. However, the efficacy of vaccination in this vulnerable population has not been confirmed. Although age is negatively correlated with serum immunoglobulin (Ig) levels, humoral responses to vaccination in elderly patients undergoing HD have not been investigated. To address this issue, we evaluated the anti-SARS-CoV-2 spike protein antibodies in nursing home residents on HD after BNT162b2 vaccine administration.MethodsPatients on HD from a nursing home and care workers (controls) receiving two doses of the BNT162b2 vaccine between April and May 2021 were enrolled in this study. Those with a prior history of COVID-19 were excluded. Anti-spike protein antibodies were measured with the Elecsys (Roche) immunoassay system.ResultsThe study included 26 nursing home residents (41% male; median age, 86 years) and 184 care workers (28% male; median age, 45 years). The median HD vintage was 51 months. After two doses of BNT162b2, 73% of the nursing home residents and 99.5% of the control group developed sufficient anti-spike protein antibodies (> 29 U/mL) to neutralize SARS-CoV-2. Three weeks after the second dose, median IgG titers of the residents and care workers were 83 [interquartile range (IQR) 17–511] and 1365 (IQR 847–2245) U/mL, respectively (p < 0.001).ConclusionsThe humoral response to BNT162b2 among elderly HD patients was relatively low; therefore, the optimal vaccination strategy for this population should be studied further to avoid COVID-19 outbreaks in healthcare facilities.
15 schema:genre article
16 schema:isAccessibleForFree true
17 schema:isPartOf N51c7f9255f674600a38cfb03cad56f32
18 Nc8cfa3ac381d485ab5924b52e5f2e28e
19 sg:journal.1151526
20 schema:keywords BNT162b2
21 BNT162b2 vaccine
22 BNT162b2 vaccine administration
23 BackgroundPatients
24 COVID-19
25 COVID-19 outbreak
26 HD patients
27 HD vintage
28 IgG titers
29 MethodsPatients
30 ResultsThe study
31 SARS-CoV-2
32 SARS-CoV-2 spike protein antibodies
33 acute respiratory syndrome coronavirus 2
34 administration
35 age
36 anti-spike protein antibodies
37 antibodies
38 care workers
39 case-control observational study
40 control group
41 coronavirus 2
42 coronavirus disease 2019
43 disease 2019
44 dose
45 doses
46 doses of BNT162b2
47 efficacy
48 efficacy of vaccination
49 elderly HD patients
50 elderly patients
51 facilities
52 group
53 healthcare facilities
54 hemodialysis
55 higher mortality risk
56 history
57 home
58 home residents
59 humoral immune response
60 humoral response
61 immune response
62 immunoassay system
63 immunoglobulin levels
64 issues
65 levels
66 lower humoral immune response
67 median HD vintage
68 median IgG titer
69 months
70 mortality risk
71 nursing home residents
72 nursing homes
73 observational study
74 optimal vaccination strategy
75 outbreak
76 patients
77 population
78 prior history
79 protein antibodies
80 residents
81 respiratory syndrome coronavirus 2
82 response
83 risk
84 second dose
85 serum immunoglobulin levels
86 severe acute respiratory syndrome coronavirus 2
87 spike protein antibodies
88 strategies
89 study
90 syndrome coronavirus 2
91 system
92 titers
93 vaccination
94 vaccination strategies
95 vaccine
96 vaccine administration
97 vintage
98 vulnerable populations
99 weeks
100 workers
101 schema:name Low humoral immune response to the BNT162b2 vaccine against COVID-19 in nursing home residents undergoing hemodialysis: a case–control observational study
102 schema:pagination 8
103 schema:productId N7dff96808ba94812b06203465a26673d
104 N81ea95915f2447f29131e640c876aa11
105 Nff94433128be4c269492977d40df58ca
106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1146307384
107 https://doi.org/10.1186/s41100-022-00397-5
108 schema:sdDatePublished 2022-09-02T16:08
109 schema:sdLicense https://scigraph.springernature.com/explorer/license/
110 schema:sdPublisher N90c6cba27f5842eb800ef239d24e51e4
111 schema:url https://doi.org/10.1186/s41100-022-00397-5
112 sgo:license sg:explorer/license/
113 sgo:sdDataset articles
114 rdf:type schema:ScholarlyArticle
115 N25a77e5065154596a3e378da6c3d008d rdf:first sg:person.0755576305.18
116 rdf:rest Nbb62cb41200e47c5826f85ad2327fbba
117 N2f93e0240347429a922926b4e7397405 rdf:first sg:person.0746567117.73
118 rdf:rest rdf:nil
119 N3ac96b919ef6400688e5c4cd2bff3b85 rdf:first sg:person.01001201577.53
120 rdf:rest N25a77e5065154596a3e378da6c3d008d
121 N51c7f9255f674600a38cfb03cad56f32 schema:issueNumber 1
122 rdf:type schema:PublicationIssue
123 N77b23a19eecf42bd8d202c2c07fa9d5f rdf:first sg:person.015002765153.07
124 rdf:rest N8d9d9707ef4c4c769682024f1f7169a1
125 N7dff96808ba94812b06203465a26673d schema:name pubmed_id
126 schema:value 35308296
127 rdf:type schema:PropertyValue
128 N81ea95915f2447f29131e640c876aa11 schema:name dimensions_id
129 schema:value pub.1146307384
130 rdf:type schema:PropertyValue
131 N858ff84507584508a719fc77678bb1a9 rdf:first sg:person.01131130717.53
132 rdf:rest N3ac96b919ef6400688e5c4cd2bff3b85
133 N8d9d9707ef4c4c769682024f1f7169a1 rdf:first sg:person.01143125277.28
134 rdf:rest N2f93e0240347429a922926b4e7397405
135 N90c6cba27f5842eb800ef239d24e51e4 schema:name Springer Nature - SN SciGraph project
136 rdf:type schema:Organization
137 Nbb62cb41200e47c5826f85ad2327fbba rdf:first sg:person.013431432342.23
138 rdf:rest N77b23a19eecf42bd8d202c2c07fa9d5f
139 Nc8cfa3ac381d485ab5924b52e5f2e28e schema:volumeNumber 8
140 rdf:type schema:PublicationVolume
141 Nff94433128be4c269492977d40df58ca schema:name doi
142 schema:value 10.1186/s41100-022-00397-5
143 rdf:type schema:PropertyValue
144 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
145 schema:name Medical and Health Sciences
146 rdf:type schema:DefinedTerm
147 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
148 schema:name Public Health and Health Services
149 rdf:type schema:DefinedTerm
150 sg:journal.1151526 schema:issn 2059-1381
151 schema:name Renal Replacement Therapy
152 schema:publisher Springer Nature
153 rdf:type schema:Periodical
154 sg:person.01001201577.53 schema:affiliation grid-institutes:grid.411873.8
155 schema:familyName Takazono
156 schema:givenName Takahiro
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001201577.53
158 rdf:type schema:Person
159 sg:person.01131130717.53 schema:affiliation grid-institutes:grid.174567.6
160 schema:familyName Kitamura
161 schema:givenName Mineaki
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131130717.53
163 rdf:type schema:Person
164 sg:person.01143125277.28 schema:affiliation grid-institutes:grid.174567.6
165 schema:familyName Mukae
166 schema:givenName Hiroshi
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143125277.28
168 rdf:type schema:Person
169 sg:person.013431432342.23 schema:affiliation grid-institutes:None
170 schema:familyName Harada
171 schema:givenName Takashi
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013431432342.23
173 rdf:type schema:Person
174 sg:person.015002765153.07 schema:affiliation grid-institutes:None
175 schema:familyName Funakoshi
176 schema:givenName Satoshi
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015002765153.07
178 rdf:type schema:Person
179 sg:person.0746567117.73 schema:affiliation grid-institutes:grid.174567.6
180 schema:familyName Nishino
181 schema:givenName Tomoya
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746567117.73
183 rdf:type schema:Person
184 sg:person.0755576305.18 schema:affiliation grid-institutes:grid.411873.8
185 schema:familyName Yamamoto
186 schema:givenName Kazuko
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755576305.18
188 rdf:type schema:Person
189 sg:pub.10.1007/s40121-021-00475-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1138916179
190 https://doi.org/10.1007/s40121-021-00475-x
191 rdf:type schema:CreativeWork
192 sg:pub.10.1038/nrneph.2013.44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037614149
193 https://doi.org/10.1038/nrneph.2013.44
194 rdf:type schema:CreativeWork
195 sg:pub.10.1038/s41581-020-0280-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1126155565
196 https://doi.org/10.1038/s41581-020-0280-y
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/s41581-021-00406-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1135201114
199 https://doi.org/10.1038/s41581-021-00406-6
200 rdf:type schema:CreativeWork
201 sg:pub.10.1186/s12865-021-00448-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140919785
202 https://doi.org/10.1186/s12865-021-00448-2
203 rdf:type schema:CreativeWork
204 sg:pub.10.1186/s12979-019-0164-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120996331
205 https://doi.org/10.1186/s12979-019-0164-9
206 rdf:type schema:CreativeWork
207 sg:pub.10.1186/s12979-021-00246-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140558287
208 https://doi.org/10.1186/s12979-021-00246-9
209 rdf:type schema:CreativeWork
210 sg:pub.10.1186/s41100-020-00286-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1130619358
211 https://doi.org/10.1186/s41100-020-00286-9
212 rdf:type schema:CreativeWork
213 grid-institutes:None schema:alternateName Nagasaki Renal Center, Nagasaki, Japan
214 schema:name Nagasaki Renal Center, Nagasaki, Japan
215 rdf:type schema:Organization
216 grid-institutes:grid.174567.6 schema:alternateName Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, 852-8501, Nagasaki, Japan
217 Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
218 schema:name Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, 852-8501, Nagasaki, Japan
219 Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
220 Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan
221 Nagasaki Renal Center, Nagasaki, Japan
222 rdf:type schema:Organization
223 grid-institutes:grid.411873.8 schema:alternateName Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan
224 schema:name Department of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
225 Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan
226 rdf:type schema:Organization
 




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


...