Hypomagnesemia is not an independent risk factor for mortality in Japanese maintenance hemodialysis patients. View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-11

AUTHORS

Sonoo Mizuiri, Yoshiko Nishizawa, Kazuomi Yamashita, Takayuki Naito, Kyoka Ono, Chie Tanji, Koji Usui, Shigehiro Doi, Takao Masaki, Kenichiro Shigemoto

ABSTRACT

PURPOSE: It is unclear whether hypomagnesemia is an independent risk factor or innocent bystander for mortality in maintenance hemodialysis (MHD) patients. Thus, we studied associations between hypomagnesemia and all-cause as well as cardiovascular (CV) mortality in MHD patients. METHODS: Baseline clinical characteristics and coronary artery calcium score (CACS) of 353 Japanese MHD patients were reviewed. Three-year survival rate and mortality risk factors were assessed. RESULTS: Median (interquartile range) age, dialysis vintage, serum magnesium (Mg), serum albumin and CACS of the subjects were 68 (60-78) years, 75 (32-151) months, 2.4 (2.2-2.7) mg/dl, 3.6 (3.3-3.8) g/dl, and 1181 (278-3190), respectively. During the 3-year period, 91 patients died. Kaplan-Meier overall 3-year survival rates were 59.0% in in patients with Mg < 2.4 mg/dl (n = 136) and 82.3% in patients with Mg ≥ 2.4 mg/dl (n = 217), (P < 0.0001). In Cox regression models not incorporating serum albumin, Mg < 2.4 mg/dl was significantly associated with 3-year all-cause death, independent of age, dialysis vintage, average ultrafiltration, Log (CACS + 1), warfarin use, serum potassium, high-sensitivity C-reactive protein (hsCRP), phosphate, uric acid, and intact parathyroid hormone [Hazard ratio (HR) 95% confidence interval (CI): 2.82 (1.31-6.29), P = 0.0078], and CV death, independent of age, dialysis vintage, Log (CACS + 1), warfarin use, serum hsCRP, and uric acid [HR (95% CI): 4.47 (1.45-16.76), P = 0.0086]. Nevertheless, associations of Mg < 2.4 mg/dl with all-cause and CV mortality were all absent in models that included serum albumin. CONCLUSIONS: Hypomagnesemia is not an independent risk factor for mortality but is associated with malnutrition in MHD patients. More... »

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11255-019-02073-w

DOI

http://dx.doi.org/10.1007/s11255-019-02073-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113378613

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30977017


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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": {
          "name": [
            "Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan. sm210@med.toho-u.ac.jp."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mizuiri", 
        "givenName": "Sonoo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishizawa", 
        "givenName": "Yoshiko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamashita", 
        "givenName": "Kazuomi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naito", 
        "givenName": "Takayuki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ono", 
        "givenName": "Kyoka", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Ichiyokai Ichiyokai Clinic, 10-3 Asahien, Saeki-ku, Hiroshima, 731-5133, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanji", 
        "givenName": "Chie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Ichiyokai Ichiyokai Clinic, 10-3 Asahien, Saeki-ku, Hiroshima, 731-5133, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Usui", 
        "givenName": "Koji", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.470097.d", 
          "name": [
            "Department of Nephrology, Hiroshima University Hospital, 1-2-3 Kasumi Minami-ku, Hiroshima, 734-8551, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Doi", 
        "givenName": "Shigehiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.470097.d", 
          "name": [
            "Department of Nephrology, Hiroshima University Hospital, 1-2-3 Kasumi Minami-ku, Hiroshima, 734-8551, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Masaki", 
        "givenName": "Takao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shigemoto", 
        "givenName": "Kenichiro", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2369-15-20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001356473", 
          "https://doi.org/10.1186/1471-2369-15-20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2369-15-20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001356473", 
          "https://doi.org/10.1186/1471-2369-15-20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2015.06.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002409877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2015.06.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002409877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfp191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006190261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfp191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006190261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11255-008-9462-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017548665", 
          "https://doi.org/10.1007/s11255-008-9462-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ki.2013.301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022429962", 
          "https://doi.org/10.1038/ki.2013.301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2012030240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024812552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2012030240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024812552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/ajkd.2001.25198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028236749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0143104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029113200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000366124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032167336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2015.01.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035271818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hypertensionaha.110.152058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037047606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hypertensionaha.110.152058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037047606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2015.05.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039007474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2015.05.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039007474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfq191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044181539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gfq191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044181539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1744-9987.12378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045147906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0706130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049196131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0735-1097(90)90282-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049504833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ki.2013.327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049555875", 
          "https://doi.org/10.1038/ki.2013.327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5414/cnp68222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072833291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078354236", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1684/mrh.2013.0344", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078800602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079615226", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083302795", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2215/cjn.05520516", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083859005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2215/cjn.05520516", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083859005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/sdi.12613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085995220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5301/ijao.5000611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090694828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5301/ijao.5000611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090694828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.kint.2017.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090923785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/nu9090926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091309715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.kint.2017.05.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092273184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000485700", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105810991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000485700", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105810991"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04-11", 
    "datePublishedReg": "2019-04-11", 
    "description": "PURPOSE: It is unclear whether hypomagnesemia is an independent risk factor or innocent bystander for mortality in maintenance hemodialysis (MHD) patients. Thus, we studied associations between hypomagnesemia and all-cause as well as cardiovascular (CV) mortality in MHD patients.\nMETHODS: Baseline clinical characteristics and coronary artery calcium score (CACS) of 353 Japanese MHD patients were reviewed. Three-year survival rate and mortality risk factors were assessed.\nRESULTS: Median (interquartile range) age, dialysis vintage, serum magnesium (Mg), serum albumin and CACS of the subjects were 68 (60-78) years, 75 (32-151) months, 2.4 (2.2-2.7) mg/dl, 3.6 (3.3-3.8) g/dl, and 1181 (278-3190), respectively. During the 3-year period, 91 patients died. Kaplan-Meier overall 3-year survival rates were 59.0% in in patients with Mg\u2009<\u20092.4\u00a0mg/dl (n\u2009=\u2009136) and 82.3% in patients with Mg\u2009\u2265\u20092.4\u00a0mg/dl (n\u2009=\u2009217), (P\u2009<\u20090.0001). In Cox regression models not incorporating serum albumin, Mg\u2009<\u20092.4\u00a0mg/dl was significantly associated with 3-year all-cause death, independent of age, dialysis vintage, average ultrafiltration, Log (CACS\u2009+\u20091), warfarin use, serum potassium, high-sensitivity C-reactive protein (hsCRP), phosphate, uric acid, and intact parathyroid hormone [Hazard ratio (HR) 95% confidence interval (CI): 2.82 (1.31-6.29), P\u2009=\u20090.0078], and CV death, independent of age, dialysis vintage, Log (CACS\u2009+\u20091), warfarin use, serum hsCRP, and uric acid [HR (95% CI): 4.47 (1.45-16.76), P\u2009=\u20090.0086]. Nevertheless, associations of Mg\u2009<\u20092.4\u00a0mg/dl with all-cause and CV mortality were all absent in models that included serum albumin.\nCONCLUSIONS: Hypomagnesemia is not an independent risk factor for mortality but is associated with malnutrition in MHD patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11255-019-02073-w", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1014320", 
        "issn": [
          "0924-8455", 
          "1573-7306"
        ], 
        "name": "Geriatric Nephrology and Urology", 
        "type": "Periodical"
      }
    ], 
    "name": "Hypomagnesemia is not an independent risk factor for mortality in Japanese maintenance hemodialysis patients.", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11255-019-02073-w"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113378613"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0262521"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30977017"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11255-019-02073-w", 
      "https://app.dimensions.ai/details/publication/pub.1113378613"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:23", 
    "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/v90/0000000377_0000000377/records_106825_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s11255-019-02073-w"
  }
]
 

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/s11255-019-02073-w'

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/s11255-019-02073-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11255-019-02073-w'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11255-019-02073-w'


 

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

215 TRIPLES      20 PREDICATES      53 URIs      16 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11255-019-02073-w schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N41aa0c8372f34461b68022126892d248
4 schema:citation sg:pub.10.1007/s11255-008-9462-4
5 sg:pub.10.1038/ki.2013.301
6 sg:pub.10.1038/ki.2013.327
7 sg:pub.10.1186/1471-2369-15-20
8 https://app.dimensions.ai/details/publication/pub.1078354236
9 https://app.dimensions.ai/details/publication/pub.1079615226
10 https://app.dimensions.ai/details/publication/pub.1083302795
11 https://doi.org/10.1016/0735-1097(90)90282-t
12 https://doi.org/10.1016/j.kint.2017.04.011
13 https://doi.org/10.1016/j.kint.2017.05.032
14 https://doi.org/10.1053/ajkd.2001.25198
15 https://doi.org/10.1053/j.ajkd.2015.01.029
16 https://doi.org/10.1053/j.ajkd.2015.05.024
17 https://doi.org/10.1053/j.ajkd.2015.06.014
18 https://doi.org/10.1056/nejmoa0706130
19 https://doi.org/10.1093/ndt/gfp191
20 https://doi.org/10.1093/ndt/gfq191
21 https://doi.org/10.1111/1744-9987.12378
22 https://doi.org/10.1111/sdi.12613
23 https://doi.org/10.1159/000366124
24 https://doi.org/10.1159/000485700
25 https://doi.org/10.1161/hypertensionaha.110.152058
26 https://doi.org/10.1371/journal.pone.0143104
27 https://doi.org/10.1681/asn.2012030240
28 https://doi.org/10.1684/mrh.2013.0344
29 https://doi.org/10.2215/cjn.05520516
30 https://doi.org/10.3390/nu9090926
31 https://doi.org/10.5301/ijao.5000611
32 https://doi.org/10.5414/cnp68222
33 schema:datePublished 2019-04-11
34 schema:datePublishedReg 2019-04-11
35 schema:description PURPOSE: It is unclear whether hypomagnesemia is an independent risk factor or innocent bystander for mortality in maintenance hemodialysis (MHD) patients. Thus, we studied associations between hypomagnesemia and all-cause as well as cardiovascular (CV) mortality in MHD patients. METHODS: Baseline clinical characteristics and coronary artery calcium score (CACS) of 353 Japanese MHD patients were reviewed. Three-year survival rate and mortality risk factors were assessed. RESULTS: Median (interquartile range) age, dialysis vintage, serum magnesium (Mg), serum albumin and CACS of the subjects were 68 (60-78) years, 75 (32-151) months, 2.4 (2.2-2.7) mg/dl, 3.6 (3.3-3.8) g/dl, and 1181 (278-3190), respectively. During the 3-year period, 91 patients died. Kaplan-Meier overall 3-year survival rates were 59.0% in in patients with Mg < 2.4 mg/dl (n = 136) and 82.3% in patients with Mg ≥ 2.4 mg/dl (n = 217), (P < 0.0001). In Cox regression models not incorporating serum albumin, Mg < 2.4 mg/dl was significantly associated with 3-year all-cause death, independent of age, dialysis vintage, average ultrafiltration, Log (CACS + 1), warfarin use, serum potassium, high-sensitivity C-reactive protein (hsCRP), phosphate, uric acid, and intact parathyroid hormone [Hazard ratio (HR) 95% confidence interval (CI): 2.82 (1.31-6.29), P = 0.0078], and CV death, independent of age, dialysis vintage, Log (CACS + 1), warfarin use, serum hsCRP, and uric acid [HR (95% CI): 4.47 (1.45-16.76), P = 0.0086]. Nevertheless, associations of Mg < 2.4 mg/dl with all-cause and CV mortality were all absent in models that included serum albumin. CONCLUSIONS: Hypomagnesemia is not an independent risk factor for mortality but is associated with malnutrition in MHD patients.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree false
39 schema:isPartOf sg:journal.1014320
40 schema:name Hypomagnesemia is not an independent risk factor for mortality in Japanese maintenance hemodialysis patients.
41 schema:productId N173e3cbb46a842f68306b4c1a13d0b9a
42 N4ef71455654a48d585d862d6ebfbe0dd
43 Nc34265b691934c52ae6ad356fc09e4d7
44 Nf523eaf1c09249b590d984b67f691922
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113378613
46 https://doi.org/10.1007/s11255-019-02073-w
47 schema:sdDatePublished 2019-04-16T06:23
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher N8adf23512a3447dbb225460dab1d306e
50 schema:url http://link.springer.com/10.1007/s11255-019-02073-w
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N0c9676a1ca9a40f68953263edd2e8b5d schema:name Ichiyokai Ichiyokai Clinic, 10-3 Asahien, Saeki-ku, Hiroshima, 731-5133, Japan.
55 rdf:type schema:Organization
56 N11f75fd5fc3d46e7a03755f828de299b schema:affiliation N850f7bc39a6941ec89b0a6f6bc8ea199
57 schema:familyName Tanji
58 schema:givenName Chie
59 rdf:type schema:Person
60 N173e3cbb46a842f68306b4c1a13d0b9a schema:name pubmed_id
61 schema:value 30977017
62 rdf:type schema:PropertyValue
63 N176fae27c83f42ca86034f7bef1e986d rdf:first Nb5f9c9078f1b4b27a6e062db19f19f02
64 rdf:rest Ne1d139e20d8a4c3c996b7d477f04f327
65 N25b672d8a11746f389ebb8dbf02e4aaf schema:name Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan.
66 rdf:type schema:Organization
67 N2f375fb609c64eb89aaf9208ade2c112 rdf:first Nc4052bea52dc4a8199e8a9dedce16aaf
68 rdf:rest Ndf5d59ea8c92414486b5ef13c015fd86
69 N41aa0c8372f34461b68022126892d248 rdf:first N43e16a5b607f40568738fb66a6403b3e
70 rdf:rest N5897b580b7494741ae515a96c0a882b7
71 N43e16a5b607f40568738fb66a6403b3e schema:affiliation Nb9c2d1eb07c94c6694b9097805793606
72 schema:familyName Mizuiri
73 schema:givenName Sonoo
74 rdf:type schema:Person
75 N4de4a4a1261e4546b63b1f01076eb6b6 schema:affiliation Na892db9e3aed4570ba187919b8e134aa
76 schema:familyName Shigemoto
77 schema:givenName Kenichiro
78 rdf:type schema:Person
79 N4ef71455654a48d585d862d6ebfbe0dd schema:name doi
80 schema:value 10.1007/s11255-019-02073-w
81 rdf:type schema:PropertyValue
82 N5897b580b7494741ae515a96c0a882b7 rdf:first N776d020a9aaa4078a627fea765219835
83 rdf:rest N176fae27c83f42ca86034f7bef1e986d
84 N64e03329593546c483105b1c86604ace schema:name Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan.
85 rdf:type schema:Organization
86 N6723aea713c74926b705e0863c9f2c50 schema:name Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan.
87 rdf:type schema:Organization
88 N776d020a9aaa4078a627fea765219835 schema:affiliation Ncc40b59862e44ec4a3d7c401f59f9e75
89 schema:familyName Nishizawa
90 schema:givenName Yoshiko
91 rdf:type schema:Person
92 N82b027e694c44733b026d940d1c4a88a rdf:first Naec986643b5d46d1a12cdb976243aa73
93 rdf:rest Nfcdfce18a3e546a695307dc0c3bffda1
94 N850f7bc39a6941ec89b0a6f6bc8ea199 schema:name Ichiyokai Ichiyokai Clinic, 10-3 Asahien, Saeki-ku, Hiroshima, 731-5133, Japan.
95 rdf:type schema:Organization
96 N8adf23512a3447dbb225460dab1d306e schema:name Springer Nature - SN SciGraph project
97 rdf:type schema:Organization
98 N9e54a54bbebf41dab1a200227594f7ad rdf:first N11f75fd5fc3d46e7a03755f828de299b
99 rdf:rest N82b027e694c44733b026d940d1c4a88a
100 Na892db9e3aed4570ba187919b8e134aa schema:name Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan.
101 rdf:type schema:Organization
102 Naec986643b5d46d1a12cdb976243aa73 schema:affiliation N0c9676a1ca9a40f68953263edd2e8b5d
103 schema:familyName Usui
104 schema:givenName Koji
105 rdf:type schema:Person
106 Nb5f9c9078f1b4b27a6e062db19f19f02 schema:affiliation N64e03329593546c483105b1c86604ace
107 schema:familyName Yamashita
108 schema:givenName Kazuomi
109 rdf:type schema:Person
110 Nb90e6d600b604f84ba81daab0632a06d schema:affiliation N25b672d8a11746f389ebb8dbf02e4aaf
111 schema:familyName Naito
112 schema:givenName Takayuki
113 rdf:type schema:Person
114 Nb9c2d1eb07c94c6694b9097805793606 schema:name Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan. sm210@med.toho-u.ac.jp.
115 rdf:type schema:Organization
116 Nbd7b962b4efd434091b5c42abdfadc11 rdf:first Nee56428f244347cfb8bf79948fad8713
117 rdf:rest N9e54a54bbebf41dab1a200227594f7ad
118 Nc34265b691934c52ae6ad356fc09e4d7 schema:name nlm_unique_id
119 schema:value 0262521
120 rdf:type schema:PropertyValue
121 Nc4052bea52dc4a8199e8a9dedce16aaf schema:affiliation https://www.grid.ac/institutes/grid.470097.d
122 schema:familyName Masaki
123 schema:givenName Takao
124 rdf:type schema:Person
125 Ncc40b59862e44ec4a3d7c401f59f9e75 schema:name Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan.
126 rdf:type schema:Organization
127 Nd64cb4b498c24bc1847efa05d3695801 schema:affiliation https://www.grid.ac/institutes/grid.470097.d
128 schema:familyName Doi
129 schema:givenName Shigehiro
130 rdf:type schema:Person
131 Ndf5d59ea8c92414486b5ef13c015fd86 rdf:first N4de4a4a1261e4546b63b1f01076eb6b6
132 rdf:rest rdf:nil
133 Ne1d139e20d8a4c3c996b7d477f04f327 rdf:first Nb90e6d600b604f84ba81daab0632a06d
134 rdf:rest Nbd7b962b4efd434091b5c42abdfadc11
135 Nee56428f244347cfb8bf79948fad8713 schema:affiliation N6723aea713c74926b705e0863c9f2c50
136 schema:familyName Ono
137 schema:givenName Kyoka
138 rdf:type schema:Person
139 Nf523eaf1c09249b590d984b67f691922 schema:name dimensions_id
140 schema:value pub.1113378613
141 rdf:type schema:PropertyValue
142 Nfcdfce18a3e546a695307dc0c3bffda1 rdf:first Nd64cb4b498c24bc1847efa05d3695801
143 rdf:rest N2f375fb609c64eb89aaf9208ade2c112
144 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
145 schema:name Medical and Health Sciences
146 rdf:type schema:DefinedTerm
147 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
148 schema:name Clinical Sciences
149 rdf:type schema:DefinedTerm
150 sg:journal.1014320 schema:issn 0924-8455
151 1573-7306
152 schema:name Geriatric Nephrology and Urology
153 rdf:type schema:Periodical
154 sg:pub.10.1007/s11255-008-9462-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017548665
155 https://doi.org/10.1007/s11255-008-9462-4
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/ki.2013.301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022429962
158 https://doi.org/10.1038/ki.2013.301
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/ki.2013.327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049555875
161 https://doi.org/10.1038/ki.2013.327
162 rdf:type schema:CreativeWork
163 sg:pub.10.1186/1471-2369-15-20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001356473
164 https://doi.org/10.1186/1471-2369-15-20
165 rdf:type schema:CreativeWork
166 https://app.dimensions.ai/details/publication/pub.1078354236 schema:CreativeWork
167 https://app.dimensions.ai/details/publication/pub.1079615226 schema:CreativeWork
168 https://app.dimensions.ai/details/publication/pub.1083302795 schema:CreativeWork
169 https://doi.org/10.1016/0735-1097(90)90282-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1049504833
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.kint.2017.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090923785
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.kint.2017.05.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092273184
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1053/ajkd.2001.25198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028236749
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1053/j.ajkd.2015.01.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035271818
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1053/j.ajkd.2015.05.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039007474
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1053/j.ajkd.2015.06.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002409877
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1056/nejmoa0706130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049196131
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1093/ndt/gfp191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006190261
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1093/ndt/gfq191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044181539
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1111/1744-9987.12378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045147906
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1111/sdi.12613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085995220
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1159/000366124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032167336
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1159/000485700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105810991
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1161/hypertensionaha.110.152058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037047606
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1371/journal.pone.0143104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029113200
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1681/asn.2012030240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024812552
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1684/mrh.2013.0344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078800602
204 rdf:type schema:CreativeWork
205 https://doi.org/10.2215/cjn.05520516 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083859005
206 rdf:type schema:CreativeWork
207 https://doi.org/10.3390/nu9090926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091309715
208 rdf:type schema:CreativeWork
209 https://doi.org/10.5301/ijao.5000611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090694828
210 rdf:type schema:CreativeWork
211 https://doi.org/10.5414/cnp68222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072833291
212 rdf:type schema:CreativeWork
213 https://www.grid.ac/institutes/grid.470097.d schema:alternateName Hiroshima University Hospital
214 schema:name Department of Nephrology, Hiroshima University Hospital, 1-2-3 Kasumi Minami-ku, Hiroshima, 734-8551, Japan.
215 rdf:type schema:Organization
 




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


...