Drug-induced kidney disease: a study of the Japan Renal Biopsy Registry from 2007 to 2015 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-11-21

AUTHORS

Hitoshi Yokoyama, Ichie Narita, Hitoshi Sugiyama, Michio Nagata, Hiroshi Sato, Yoshihiko Ueda, Seiichi Matsuo

ABSTRACT

IntroductionThe Japan Renal Biopsy Registry (J-RBR) was started in 2007 by the Committee for the Standardization of Renal Pathological Diagnosis and the Committee for the Kidney Disease Registry of the Japanese Society of Nephrology. The purpose of this report is to clarify drug-induced kidney disease (DIKD) of renal biopsied cases in Japan.Subjects and methodsWe analyzed the data of 26,535 cases that were registered in the J-RBR from 2007 to 2015.ResultsBased on clinical and pathological diagnoses, 328 cases (176 males and 152 females) of renal biopsy-proven DIKD were registered in the J-RBR from 2007 to 2015 (1.24 % of all cases). The frequency of DIKD increased with age. The number of cases peaked in the 6th–8th decade in all pathological categories, except for the number of chronic tubulointerstitial lesions (CTIL), which peaked in the 4th–5th decade. Overall, the frequency of DIKD was 3 times higher in the 7th decade than in the 2nd decade (1.86 vs. 0.62 %). The main clinical diagnoses were DIKD in 150 cases (45.7 %), nephrotic syndrome in 66 cases (20.1 %), chronic nephritic syndrome in 55 cases (16.8 %), and rapidly progressive glomerulonephritis in 30 cases (9.1 %). DIKD was registered as a secondary diagnosis in 136 cases (41.5 %). The pathological findings of these cases were glomerular lesions in 105 cases (32.0 %), acute tubulointerstitial lesions (ATIL) in 87 cases (26.5 %), CTIL in 72 cases (22.0 %), and sclerotic glomerular lesions and/or nephrosclerosis in 18 cases (5.5 %). ATIL and CTIL were mainly found in cases in which DIKD was diagnosed on the basis of the patient’s clinical findings. In addition, nephrotic syndrome-related membranous nephropathy (MN) was the major cause of renal damage in 59.4 % of the cases involving glomerular injuries. According to the CGA risk classification, high-risk (red zone) cases accounted for 56.1 % of all cases of DIKD and 75.9, 64.9, and 33.3 % of the cases involving ATIL, CTIL, and glomerular injuries, respectively. The causative drugs were identified in 102 cases, including bucillamine in 38 cases of MN, gemcitabine in 3 cases of thrombotic microangiopathy, and other anticancer drugs in 14 cases (anti-vascular endothelial growth factor drugs in 3 cases and propyl thiouracil in 3 cases of anti-neutrophil cytoplasmic antibody-related nephritis).ConclusionOur analysis of the J-RBR revealed that DIKD mainly affects elderly people in Japan. ATIL or CTIL were found in approximately half of the biopsied cases of DIKD, and one-third involved glomerular lesions, mainly MN or clinical nephrotic syndrome. More... »

PAGES

720-730

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10157-015-1201-4

DOI

http://dx.doi.org/10.1007/s10157-015-1201-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012426562

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26590949


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biopsy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kidney", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kidney Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Registries", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, 920-0293, Uchinada, Ishikawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411998.c", 
          "name": [
            "Department of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, 920-0293, Uchinada, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yokoyama", 
        "givenName": "Hitoshi", 
        "id": "sg:person.011755063652.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011755063652.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Clinical Nephrology and Rheumatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan", 
          "id": "http://www.grid.ac/institutes/grid.260975.f", 
          "name": [
            "Division of Clinical Nephrology and Rheumatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Narita", 
        "givenName": "Ichie", 
        "id": "sg:person.012103575621.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012103575621.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medicine and Clinical Science, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.261356.5", 
          "name": [
            "Department of Medicine and Clinical Science, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sugiyama", 
        "givenName": "Hitoshi", 
        "id": "sg:person.0767063345.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767063345.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Faculty of Medicine, University of Tsukuba, Ibaragi, Japan", 
          "id": "http://www.grid.ac/institutes/grid.20515.33", 
          "name": [
            "Department of Pathology, Faculty of Medicine, University of Tsukuba, Ibaragi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagata", 
        "givenName": "Michio", 
        "id": "sg:person.01022702772.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022702772.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Clinical Pharmacology and Therapeutics, Tohoku University Graduate School of Pharmaceutical Sciences, Sendai, Japan", 
          "id": "http://www.grid.ac/institutes/grid.69566.3a", 
          "name": [
            "Clinical Pharmacology and Therapeutics, Tohoku University Graduate School of Pharmaceutical Sciences, Sendai, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sato", 
        "givenName": "Hiroshi", 
        "id": "sg:person.01072667343.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072667343.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Dokkyo Medical University Koshigaya Hospital, Saitama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.470088.3", 
          "name": [
            "Department of Pathology, Dokkyo Medical University Koshigaya Hospital, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ueda", 
        "givenName": "Yoshihiko", 
        "id": "sg:person.015255050342.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015255050342.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan", 
          "id": "http://www.grid.ac/institutes/grid.27476.30", 
          "name": [
            "Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsuo", 
        "givenName": "Seiichi", 
        "id": "sg:person.01024375011.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024375011.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/clpt.2011.58", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048980159", 
          "https://doi.org/10.1038/clpt.2011.58"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-012-0673-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033628050", 
          "https://doi.org/10.1007/s10157-012-0673-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-012-0746-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043867412", 
          "https://doi.org/10.1007/s10157-012-0746-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-014-0993-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030532510", 
          "https://doi.org/10.1007/s10157-014-0993-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-011-0430-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017916284", 
          "https://doi.org/10.1007/s10157-011-0430-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-013-0778-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017987826", 
          "https://doi.org/10.1007/s10157-013-0778-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-012-0593-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035076317", 
          "https://doi.org/10.1007/s10157-012-0593-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10157-014-1022-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015007506", 
          "https://doi.org/10.1007/s10157-014-1022-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-11-21", 
    "datePublishedReg": "2015-11-21", 
    "description": "IntroductionThe Japan Renal Biopsy Registry (J-RBR) was started in 2007 by the Committee for the Standardization of Renal Pathological Diagnosis and the Committee for the Kidney Disease Registry of the Japanese Society of Nephrology. The purpose of this report is to clarify drug-induced kidney disease (DIKD) of renal biopsied cases in Japan.Subjects and methodsWe analyzed the data of 26,535 cases that were registered in the J-RBR from 2007 to 2015.ResultsBased on clinical and pathological diagnoses, 328 cases (176 males and 152 females) of renal biopsy-proven DIKD were registered in the J-RBR from 2007 to 2015 (1.24\u00a0% of all cases). The frequency of DIKD increased with age. The number of cases peaked in the 6th\u20138th decade in all pathological categories, except for the number of chronic tubulointerstitial lesions (CTIL), which peaked in the 4th\u20135th decade. Overall, the frequency of DIKD was 3 times higher in the 7th decade than in the 2nd decade (1.86 vs. 0.62\u00a0%). The main clinical diagnoses were DIKD in 150 cases (45.7\u00a0%), nephrotic syndrome in 66 cases (20.1\u00a0%), chronic nephritic syndrome in 55 cases (16.8\u00a0%), and rapidly progressive glomerulonephritis in 30 cases (9.1\u00a0%). DIKD was registered as a secondary diagnosis in 136 cases (41.5\u00a0%). The pathological findings of these cases were glomerular lesions in 105 cases (32.0\u00a0%), acute tubulointerstitial lesions (ATIL) in 87 cases (26.5\u00a0%), CTIL in 72 cases (22.0\u00a0%), and sclerotic glomerular lesions and/or nephrosclerosis in 18 cases (5.5\u00a0%). ATIL and CTIL were mainly found in cases in which DIKD was diagnosed on the basis of the patient\u2019s clinical findings. In addition, nephrotic syndrome-related membranous nephropathy (MN) was the major cause of renal damage in 59.4\u00a0% of the cases involving glomerular injuries. According to the CGA risk classification, high-risk (red zone) cases accounted for 56.1\u00a0% of all cases of DIKD and 75.9, 64.9, and 33.3\u00a0% of the cases involving ATIL, CTIL, and glomerular injuries, respectively. The causative drugs were identified in 102 cases, including bucillamine in 38 cases of MN, gemcitabine in 3 cases of thrombotic microangiopathy, and other anticancer drugs in 14 cases (anti-vascular endothelial growth factor drugs in 3 cases and propyl thiouracil in 3 cases of anti-neutrophil cytoplasmic antibody-related nephritis).ConclusionOur analysis of the J-RBR revealed that DIKD mainly affects elderly people in Japan. ATIL or CTIL were found in approximately half of the biopsied cases of DIKD, and one-third involved glomerular lesions, mainly MN or clinical nephrotic syndrome.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10157-015-1201-4", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1117096", 
        "issn": [
          "1342-1751", 
          "1437-7799"
        ], 
        "name": "Clinical and Experimental Nephrology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "keywords": [
      "drug-induced kidney disease", 
      "chronic tubulointerstitial lesions", 
      "acute tubulointerstitial lesions", 
      "Japan Renal Biopsy Registry", 
      "Renal Biopsy Registry", 
      "membranous nephropathy", 
      "J-RBR", 
      "glomerular lesions", 
      "tubulointerstitial lesions", 
      "Biopsy Registry", 
      "nephrotic syndrome", 
      "clinical findings", 
      "glomerular injury", 
      "pathological diagnosis", 
      "cases of MN", 
      "main clinical diagnoses", 
      "chronic nephritic syndrome", 
      "sclerotic glomerular lesions", 
      "high-risk cases", 
      "patient's clinical findings", 
      "clinical nephrotic syndrome", 
      "renal pathological diagnosis", 
      "progressive glomerulonephritis", 
      "causative drugs", 
      "thrombotic microangiopathy", 
      "renal damage", 
      "nephritic syndrome", 
      "pathological findings", 
      "kidney disease", 
      "secondary diagnosis", 
      "Disease Registry", 
      "number of cases", 
      "ConclusionOur analysis", 
      "clinical diagnosis", 
      "lesions", 
      "pathological categories", 
      "major cause", 
      "registry", 
      "syndrome", 
      "diagnosis", 
      "risk classification", 
      "elderly people", 
      "injury", 
      "anticancer drugs", 
      "drugs", 
      "Japanese Society", 
      "nephrosclerosis", 
      "microangiopathy", 
      "glomerulonephritis", 
      "nephropathy", 
      "bucillamine", 
      "gemcitabine", 
      "cases", 
      "nephrology", 
      "MethodsWe", 
      "findings", 
      "disease", 
      "age", 
      "Committee", 
      "cause", 
      "subjects", 
      "report", 
      "damage", 
      "frequency", 
      "decades", 
      "half", 
      "study", 
      "number", 
      "Japan", 
      "people", 
      "standardization", 
      "purpose", 
      "categories", 
      "data", 
      "addition", 
      "classification", 
      "time", 
      "analysis", 
      "basis", 
      "society"
    ], 
    "name": "Drug-induced kidney disease: a study of the Japan Renal Biopsy Registry from 2007 to 2015", 
    "pagination": "720-730", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012426562"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10157-015-1201-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26590949"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10157-015-1201-4", 
      "https://app.dimensions.ai/details/publication/pub.1012426562"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T15:59", 
    "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_663.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10157-015-1201-4"
  }
]
 

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/s10157-015-1201-4'

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/s10157-015-1201-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10157-015-1201-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10157-015-1201-4'


 

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

313 TRIPLES      21 PREDICATES      133 URIs      117 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10157-015-1201-4 schema:about N0cdc73412d924dd6b534eccda587a1f1
2 N15c0979fabba4287bf5a5be7e350a991
3 N17590820ec47414294e41da2ef2d3f24
4 N2ea50f72c9724e1a9e91dd36398a58b6
5 N33ff6c549ca44430b171afaaaeb6a89f
6 N466be18db41a41f5b39a7af081ea1ee7
7 N471ceefa63324e37a5dfdac861acfc0a
8 N7758d6c2ee9d43668f1cdc8651f67375
9 N817530b7c8894bb097b3c5b375568bb1
10 N82787f24f5a04413861a4cac68eb4bf0
11 N937fffb1351e4e48ac6357f63d8f9ee4
12 N99b4a3619536427593503eb4a996ff5c
13 Na7ba86e1b55345dfa534f7bb80f892bc
14 Nb40dea0249e34fa2b662651279f0ceb6
15 Nba8dd71a40a34495b6b854ba08abfcfe
16 Nbb95ed39830a4660b0cff5b863346093
17 Nc7cd6641c4014aceaeb6aa2323b3baef
18 Nd7e4834f7a4d44ebb7305f978f342446
19 Ne9f4d9b252ea4455a00189825c1039ec
20 Nf917aead338b40838767866a01a2642f
21 anzsrc-for:11
22 anzsrc-for:1103
23 schema:author Nd3da5b6345d34e9d98a472c64c7cc350
24 schema:citation sg:pub.10.1007/s10157-011-0430-4
25 sg:pub.10.1007/s10157-012-0593-7
26 sg:pub.10.1007/s10157-012-0673-8
27 sg:pub.10.1007/s10157-012-0746-8
28 sg:pub.10.1007/s10157-013-0778-8
29 sg:pub.10.1007/s10157-014-0993-y
30 sg:pub.10.1007/s10157-014-1022-x
31 sg:pub.10.1038/clpt.2011.58
32 schema:datePublished 2015-11-21
33 schema:datePublishedReg 2015-11-21
34 schema:description IntroductionThe Japan Renal Biopsy Registry (J-RBR) was started in 2007 by the Committee for the Standardization of Renal Pathological Diagnosis and the Committee for the Kidney Disease Registry of the Japanese Society of Nephrology. The purpose of this report is to clarify drug-induced kidney disease (DIKD) of renal biopsied cases in Japan.Subjects and methodsWe analyzed the data of 26,535 cases that were registered in the J-RBR from 2007 to 2015.ResultsBased on clinical and pathological diagnoses, 328 cases (176 males and 152 females) of renal biopsy-proven DIKD were registered in the J-RBR from 2007 to 2015 (1.24 % of all cases). The frequency of DIKD increased with age. The number of cases peaked in the 6th–8th decade in all pathological categories, except for the number of chronic tubulointerstitial lesions (CTIL), which peaked in the 4th–5th decade. Overall, the frequency of DIKD was 3 times higher in the 7th decade than in the 2nd decade (1.86 vs. 0.62 %). The main clinical diagnoses were DIKD in 150 cases (45.7 %), nephrotic syndrome in 66 cases (20.1 %), chronic nephritic syndrome in 55 cases (16.8 %), and rapidly progressive glomerulonephritis in 30 cases (9.1 %). DIKD was registered as a secondary diagnosis in 136 cases (41.5 %). The pathological findings of these cases were glomerular lesions in 105 cases (32.0 %), acute tubulointerstitial lesions (ATIL) in 87 cases (26.5 %), CTIL in 72 cases (22.0 %), and sclerotic glomerular lesions and/or nephrosclerosis in 18 cases (5.5 %). ATIL and CTIL were mainly found in cases in which DIKD was diagnosed on the basis of the patient’s clinical findings. In addition, nephrotic syndrome-related membranous nephropathy (MN) was the major cause of renal damage in 59.4 % of the cases involving glomerular injuries. According to the CGA risk classification, high-risk (red zone) cases accounted for 56.1 % of all cases of DIKD and 75.9, 64.9, and 33.3 % of the cases involving ATIL, CTIL, and glomerular injuries, respectively. The causative drugs were identified in 102 cases, including bucillamine in 38 cases of MN, gemcitabine in 3 cases of thrombotic microangiopathy, and other anticancer drugs in 14 cases (anti-vascular endothelial growth factor drugs in 3 cases and propyl thiouracil in 3 cases of anti-neutrophil cytoplasmic antibody-related nephritis).ConclusionOur analysis of the J-RBR revealed that DIKD mainly affects elderly people in Japan. ATIL or CTIL were found in approximately half of the biopsied cases of DIKD, and one-third involved glomerular lesions, mainly MN or clinical nephrotic syndrome.
35 schema:genre article
36 schema:isAccessibleForFree true
37 schema:isPartOf N22b905f14b4b4e0a861703d1bd78248c
38 Nbb1110564c5141d98de4ee2dd23ed9aa
39 sg:journal.1117096
40 schema:keywords Biopsy Registry
41 Committee
42 ConclusionOur analysis
43 Disease Registry
44 J-RBR
45 Japan
46 Japan Renal Biopsy Registry
47 Japanese Society
48 MethodsWe
49 Renal Biopsy Registry
50 acute tubulointerstitial lesions
51 addition
52 age
53 analysis
54 anticancer drugs
55 basis
56 bucillamine
57 cases
58 cases of MN
59 categories
60 causative drugs
61 cause
62 chronic nephritic syndrome
63 chronic tubulointerstitial lesions
64 classification
65 clinical diagnosis
66 clinical findings
67 clinical nephrotic syndrome
68 damage
69 data
70 decades
71 diagnosis
72 disease
73 drug-induced kidney disease
74 drugs
75 elderly people
76 findings
77 frequency
78 gemcitabine
79 glomerular injury
80 glomerular lesions
81 glomerulonephritis
82 half
83 high-risk cases
84 injury
85 kidney disease
86 lesions
87 main clinical diagnoses
88 major cause
89 membranous nephropathy
90 microangiopathy
91 nephritic syndrome
92 nephrology
93 nephropathy
94 nephrosclerosis
95 nephrotic syndrome
96 number
97 number of cases
98 pathological categories
99 pathological diagnosis
100 pathological findings
101 patient's clinical findings
102 people
103 progressive glomerulonephritis
104 purpose
105 registry
106 renal damage
107 renal pathological diagnosis
108 report
109 risk classification
110 sclerotic glomerular lesions
111 secondary diagnosis
112 society
113 standardization
114 study
115 subjects
116 syndrome
117 thrombotic microangiopathy
118 time
119 tubulointerstitial lesions
120 schema:name Drug-induced kidney disease: a study of the Japan Renal Biopsy Registry from 2007 to 2015
121 schema:pagination 720-730
122 schema:productId N79ba16d9cd414972abe70dfba620a8e2
123 N99a4ababbff04f69af5bd395fe0833b5
124 Nb55873aba5594135a119436204c43226
125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012426562
126 https://doi.org/10.1007/s10157-015-1201-4
127 schema:sdDatePublished 2022-09-02T15:59
128 schema:sdLicense https://scigraph.springernature.com/explorer/license/
129 schema:sdPublisher N1d3b1b9c68bb4083b05215399d59d09e
130 schema:url https://doi.org/10.1007/s10157-015-1201-4
131 sgo:license sg:explorer/license/
132 sgo:sdDataset articles
133 rdf:type schema:ScholarlyArticle
134 N061a4389c459446f8285cce9ec7296e8 rdf:first sg:person.01072667343.29
135 rdf:rest Nfcb92464ee064954ac85efe097fc1004
136 N0cdc73412d924dd6b534eccda587a1f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Risk Factors
138 rdf:type schema:DefinedTerm
139 N15c0979fabba4287bf5a5be7e350a991 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Child
141 rdf:type schema:DefinedTerm
142 N17590820ec47414294e41da2ef2d3f24 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Time Factors
144 rdf:type schema:DefinedTerm
145 N1d3b1b9c68bb4083b05215399d59d09e schema:name Springer Nature - SN SciGraph project
146 rdf:type schema:Organization
147 N22b905f14b4b4e0a861703d1bd78248c schema:volumeNumber 20
148 rdf:type schema:PublicationVolume
149 N2ea50f72c9724e1a9e91dd36398a58b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Sex Distribution
151 rdf:type schema:DefinedTerm
152 N33ff6c549ca44430b171afaaaeb6a89f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Male
154 rdf:type schema:DefinedTerm
155 N42dab22abb21474ba61e73d15c03029d rdf:first sg:person.0767063345.54
156 rdf:rest Nf5e573e580e645b3a212bbd952665fa2
157 N466be18db41a41f5b39a7af081ea1ee7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Kidney Diseases
159 rdf:type schema:DefinedTerm
160 N471ceefa63324e37a5dfdac861acfc0a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Registries
162 rdf:type schema:DefinedTerm
163 N7758d6c2ee9d43668f1cdc8651f67375 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Middle Aged
165 rdf:type schema:DefinedTerm
166 N79ba16d9cd414972abe70dfba620a8e2 schema:name pubmed_id
167 schema:value 26590949
168 rdf:type schema:PropertyValue
169 N817530b7c8894bb097b3c5b375568bb1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Aged, 80 and over
171 rdf:type schema:DefinedTerm
172 N82787f24f5a04413861a4cac68eb4bf0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Humans
174 rdf:type schema:DefinedTerm
175 N8a15114e67114bca9c3c6dce2369549f rdf:first sg:person.01024375011.44
176 rdf:rest rdf:nil
177 N937fffb1351e4e48ac6357f63d8f9ee4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Female
179 rdf:type schema:DefinedTerm
180 N99a4ababbff04f69af5bd395fe0833b5 schema:name doi
181 schema:value 10.1007/s10157-015-1201-4
182 rdf:type schema:PropertyValue
183 N99b4a3619536427593503eb4a996ff5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Biopsy
185 rdf:type schema:DefinedTerm
186 N9e627407166444f4a05b2bb064c2489f rdf:first sg:person.012103575621.85
187 rdf:rest N42dab22abb21474ba61e73d15c03029d
188 Na7ba86e1b55345dfa534f7bb80f892bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Predictive Value of Tests
190 rdf:type schema:DefinedTerm
191 Nb40dea0249e34fa2b662651279f0ceb6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Adolescent
193 rdf:type schema:DefinedTerm
194 Nb55873aba5594135a119436204c43226 schema:name dimensions_id
195 schema:value pub.1012426562
196 rdf:type schema:PropertyValue
197 Nba8dd71a40a34495b6b854ba08abfcfe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Young Adult
199 rdf:type schema:DefinedTerm
200 Nbb1110564c5141d98de4ee2dd23ed9aa schema:issueNumber 5
201 rdf:type schema:PublicationIssue
202 Nbb95ed39830a4660b0cff5b863346093 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
203 schema:name Aged
204 rdf:type schema:DefinedTerm
205 Nc7cd6641c4014aceaeb6aa2323b3baef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Kidney
207 rdf:type schema:DefinedTerm
208 Nd3da5b6345d34e9d98a472c64c7cc350 rdf:first sg:person.011755063652.87
209 rdf:rest N9e627407166444f4a05b2bb064c2489f
210 Nd7e4834f7a4d44ebb7305f978f342446 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
211 schema:name Adult
212 rdf:type schema:DefinedTerm
213 Ne9f4d9b252ea4455a00189825c1039ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
214 schema:name Japan
215 rdf:type schema:DefinedTerm
216 Nf5e573e580e645b3a212bbd952665fa2 rdf:first sg:person.01022702772.51
217 rdf:rest N061a4389c459446f8285cce9ec7296e8
218 Nf917aead338b40838767866a01a2642f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
219 schema:name Age Distribution
220 rdf:type schema:DefinedTerm
221 Nfcb92464ee064954ac85efe097fc1004 rdf:first sg:person.015255050342.77
222 rdf:rest N8a15114e67114bca9c3c6dce2369549f
223 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
224 schema:name Medical and Health Sciences
225 rdf:type schema:DefinedTerm
226 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
227 schema:name Clinical Sciences
228 rdf:type schema:DefinedTerm
229 sg:journal.1117096 schema:issn 1342-1751
230 1437-7799
231 schema:name Clinical and Experimental Nephrology
232 schema:publisher Springer Nature
233 rdf:type schema:Periodical
234 sg:person.01022702772.51 schema:affiliation grid-institutes:grid.20515.33
235 schema:familyName Nagata
236 schema:givenName Michio
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022702772.51
238 rdf:type schema:Person
239 sg:person.01024375011.44 schema:affiliation grid-institutes:grid.27476.30
240 schema:familyName Matsuo
241 schema:givenName Seiichi
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024375011.44
243 rdf:type schema:Person
244 sg:person.01072667343.29 schema:affiliation grid-institutes:grid.69566.3a
245 schema:familyName Sato
246 schema:givenName Hiroshi
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072667343.29
248 rdf:type schema:Person
249 sg:person.011755063652.87 schema:affiliation grid-institutes:grid.411998.c
250 schema:familyName Yokoyama
251 schema:givenName Hitoshi
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011755063652.87
253 rdf:type schema:Person
254 sg:person.012103575621.85 schema:affiliation grid-institutes:grid.260975.f
255 schema:familyName Narita
256 schema:givenName Ichie
257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012103575621.85
258 rdf:type schema:Person
259 sg:person.015255050342.77 schema:affiliation grid-institutes:grid.470088.3
260 schema:familyName Ueda
261 schema:givenName Yoshihiko
262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015255050342.77
263 rdf:type schema:Person
264 sg:person.0767063345.54 schema:affiliation grid-institutes:grid.261356.5
265 schema:familyName Sugiyama
266 schema:givenName Hitoshi
267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767063345.54
268 rdf:type schema:Person
269 sg:pub.10.1007/s10157-011-0430-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017916284
270 https://doi.org/10.1007/s10157-011-0430-4
271 rdf:type schema:CreativeWork
272 sg:pub.10.1007/s10157-012-0593-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035076317
273 https://doi.org/10.1007/s10157-012-0593-7
274 rdf:type schema:CreativeWork
275 sg:pub.10.1007/s10157-012-0673-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033628050
276 https://doi.org/10.1007/s10157-012-0673-8
277 rdf:type schema:CreativeWork
278 sg:pub.10.1007/s10157-012-0746-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043867412
279 https://doi.org/10.1007/s10157-012-0746-8
280 rdf:type schema:CreativeWork
281 sg:pub.10.1007/s10157-013-0778-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017987826
282 https://doi.org/10.1007/s10157-013-0778-8
283 rdf:type schema:CreativeWork
284 sg:pub.10.1007/s10157-014-0993-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1030532510
285 https://doi.org/10.1007/s10157-014-0993-y
286 rdf:type schema:CreativeWork
287 sg:pub.10.1007/s10157-014-1022-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015007506
288 https://doi.org/10.1007/s10157-014-1022-x
289 rdf:type schema:CreativeWork
290 sg:pub.10.1038/clpt.2011.58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048980159
291 https://doi.org/10.1038/clpt.2011.58
292 rdf:type schema:CreativeWork
293 grid-institutes:grid.20515.33 schema:alternateName Department of Pathology, Faculty of Medicine, University of Tsukuba, Ibaragi, Japan
294 schema:name Department of Pathology, Faculty of Medicine, University of Tsukuba, Ibaragi, Japan
295 rdf:type schema:Organization
296 grid-institutes:grid.260975.f schema:alternateName Division of Clinical Nephrology and Rheumatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
297 schema:name Division of Clinical Nephrology and Rheumatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
298 rdf:type schema:Organization
299 grid-institutes:grid.261356.5 schema:alternateName Department of Medicine and Clinical Science, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan
300 schema:name Department of Medicine and Clinical Science, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan
301 rdf:type schema:Organization
302 grid-institutes:grid.27476.30 schema:alternateName Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan
303 schema:name Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan
304 rdf:type schema:Organization
305 grid-institutes:grid.411998.c schema:alternateName Department of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, 920-0293, Uchinada, Ishikawa, Japan
306 schema:name Department of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, 920-0293, Uchinada, Ishikawa, Japan
307 rdf:type schema:Organization
308 grid-institutes:grid.470088.3 schema:alternateName Department of Pathology, Dokkyo Medical University Koshigaya Hospital, Saitama, Japan
309 schema:name Department of Pathology, Dokkyo Medical University Koshigaya Hospital, Saitama, Japan
310 rdf:type schema:Organization
311 grid-institutes:grid.69566.3a schema:alternateName Clinical Pharmacology and Therapeutics, Tohoku University Graduate School of Pharmaceutical Sciences, Sendai, Japan
312 schema:name Clinical Pharmacology and Therapeutics, Tohoku University Graduate School of Pharmaceutical Sciences, Sendai, Japan
313 rdf:type schema:Organization
 




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


...