Ontology type: schema:ScholarlyArticle
2016-05-18
AUTHORSMasaki Hara, Naoki Yanagisawa, Akihito Ohta, Kumiko Momoki, Ken Tsuchiya, Kosaku Nitta, Minoru Ando
ABSTRACTBackgroundThe risk of developing CKD is increased in HIV-infected patients; however, the relationship between renal function decline and lipid abnormalities currently remains unclear in these patients.MethodsA retrospective cohort study was conducted on 661 HIV-infected patients, whose estimated glomerular filtration rates (eGFRs) were consecutively measured over 6 years. The rate of declines in eGFR per year was calculated, with decreases being evaluated using a linear mixed effect model. The distribution of decreases in eGFR ≥ 30 % from baseline during the follow-up period was compared across quartiles of non-high-density lipoprotein cholesterol (HDL-C) levels using the Cochran–Armitage test. A multivariate logistic regression model was built to examine the relationship between dyslipidemia and decreases in eGFR.ResultsThe prevalence of CKD increased from 8.5 to 21.2 % during the follow-up. The average of 6 annual eGFR decline rates was 2.01 ± 0.09 ml/min/1.73 m2/year, which was more than 6-fold higher than that of age-matched controls. The distribution of decreases in eGFR significantly increased across the quartiles of non-HDL-C (p value for trend = 0.0359). Non-HDL-C levels greater than the median value of the cohort were identified as a significant risk factor for decreased eGFR [odds ratio (95 % confidence interval), 1.77 (1.07–3.00)].ConclusionIncreased non-HDL-C levels are a risk factor for renal function decline in HIV-infected patients. More... »
PAGES275-282
http://scigraph.springernature.com/pub.10.1007/s10157-016-1281-9
DOIhttp://dx.doi.org/10.1007/s10157-016-1281-9
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1035712419
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27194410
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": "Adult",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Anti-HIV Agents",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Biomarkers",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Chi-Square Distribution",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cholesterol",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Comorbidity",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Disease Progression",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Dyslipidemias",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Glomerular Filtration Rate",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "HIV Infections",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Incidence",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Kidney",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Linear Models",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Logistic Models",
"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": "Multivariate Analysis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Odds Ratio",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Prevalence",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Renal Insufficiency, Chronic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Retrospective Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Risk Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Time Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Tokyo",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Up-Regulation",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.410818.4",
"name": [
"Division of Nephrology, Department of Medicine, Tokyo Metropolitan Komagome Hospital, Bunkyo-ku, Tokyo, Japan",
"Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Hara",
"givenName": "Masaki",
"id": "sg:person.0731101030.51",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731101030.51"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.410818.4",
"name": [
"Division of Infectious Diseases, Department of Medicine, Tokyo Metropolitan Komagome Hospital, Bunkyo-ku, Tokyo, Japan",
"Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Yanagisawa",
"givenName": "Naoki",
"id": "sg:person.01167203046.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167203046.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Division of Nephrology, Department of Medicine, Tokyo Metropolitan Komagome Hospital, Bunkyo-ku, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.415479.a",
"name": [
"Division of Nephrology, Department of Medicine, Tokyo Metropolitan Komagome Hospital, Bunkyo-ku, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Ohta",
"givenName": "Akihito",
"id": "sg:person.0761361220.66",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761361220.66"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.410818.4",
"name": [
"Division of Nephrology, Department of Medicine, Tokyo Metropolitan Komagome Hospital, Bunkyo-ku, Tokyo, Japan",
"Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Momoki",
"givenName": "Kumiko",
"id": "sg:person.013411124341.34",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013411124341.34"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.410818.4",
"name": [
"Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Tsuchiya",
"givenName": "Ken",
"id": "sg:person.0721731021.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721731021.30"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.410818.4",
"name": [
"Department IV of Internal Medicine, Tokyo Women\u2019s Medical University, Shinjuku-ku, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Nitta",
"givenName": "Kosaku",
"id": "sg:person.01203072055.54",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203072055.54"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Medicine, Tokyo Metropolitan Fu-chu Medical and Welfare Center for the Disabled, 2-9-2, Musashidai, 183-8553, Fuchu, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Division of Nephrology, Department of Medicine, Tokyo Metropolitan Komagome Hospital, Bunkyo-ku, Tokyo, Japan",
"Department of Medicine, Tokyo Metropolitan Fu-chu Medical and Welfare Center for the Disabled, 2-9-2, Musashidai, 183-8553, Fuchu, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Ando",
"givenName": "Minoru",
"id": "sg:person.01000373557.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000373557.74"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/bmt.2012.244",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028358194",
"https://doi.org/10.1038/bmt.2012.244"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1291/hypres.31.433",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036693970",
"https://doi.org/10.1291/hypres.31.433"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-05-18",
"datePublishedReg": "2016-05-18",
"description": "BackgroundThe risk of developing CKD is increased in HIV-infected patients; however, the relationship between renal function decline and lipid abnormalities currently remains unclear in these patients.MethodsA retrospective cohort study was conducted on 661 HIV-infected patients, whose estimated glomerular filtration rates (eGFRs) were consecutively measured over 6\u00a0years. The rate of declines in eGFR per year was calculated, with decreases being evaluated using a linear mixed effect model. The distribution of decreases in eGFR\u00a0\u2265\u00a030\u00a0% from baseline during the follow-up period was compared across quartiles of non-high-density lipoprotein cholesterol (HDL-C) levels using the Cochran\u2013Armitage test. A multivariate logistic regression model was built to examine the relationship between dyslipidemia and decreases in eGFR.ResultsThe prevalence of CKD increased from 8.5 to 21.2\u00a0% during the follow-up. The average of 6 annual eGFR decline rates was 2.01\u00a0\u00b1\u00a00.09\u00a0ml/min/1.73\u00a0m2/year, which was more than 6-fold higher than that of age-matched controls. The distribution of decreases in eGFR significantly increased across the quartiles of non-HDL-C (p value for trend\u00a0=\u00a00.0359). Non-HDL-C levels greater than the median value of the cohort were identified as a significant risk factor for decreased eGFR [odds ratio (95\u00a0% confidence interval), 1.77 (1.07\u20133.00)].ConclusionIncreased non-HDL-C levels are a risk factor for renal function decline in HIV-infected patients.",
"genre": "article",
"id": "sg:pub.10.1007/s10157-016-1281-9",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1117096",
"issn": [
"1342-1751",
"1437-7799"
],
"name": "Clinical and Experimental Nephrology",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "21"
}
],
"keywords": [
"renal function decline",
"function decline",
"risk factors",
"annual eGFR decline rate",
"MethodsA retrospective cohort study",
"density lipoprotein cholesterol levels",
"multivariate logistic regression model",
"eGFR decline rate",
"retrospective cohort study",
"lipoprotein cholesterol levels",
"prevalence of CKD",
"glomerular filtration rate",
"significant risk factors",
"age-matched controls",
"Cochran-Armitage test",
"logistic regression models",
"lipid abnormalities",
"cohort study",
"filtration rate",
"cholesterol levels",
"patients",
"rate of decline",
"HIV",
"linear mixed effects models",
"EGFR",
"mixed effects models",
"CKD",
"quartile",
"HDL",
"effects model",
"median value",
"regression models",
"years",
"dyslipidemia",
"levels",
"decrease",
"decline",
"cohort",
"abnormalities",
"prevalence",
"ConclusionIncreased",
"baseline",
"rate",
"factors",
"risk",
"decline rate",
"rapid rate",
"period",
"control",
"relationship",
"study",
"m2/year",
"test",
"average",
"model",
"values",
"distribution"
],
"name": "Increased non-HDL-C level linked with a rapid rate of renal function decline in HIV-infected patients",
"pagination": "275-282",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1035712419"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10157-016-1281-9"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"27194410"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10157-016-1281-9",
"https://app.dimensions.ai/details/publication/pub.1035712419"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:32",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_698.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s10157-016-1281-9"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/s10157-016-1281-9'
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/s10157-016-1281-9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10157-016-1281-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10157-016-1281-9'
This table displays all metadata directly associated to this object as RDF triples.
286 TRIPLES
22 PREDICATES
112 URIs
102 LITERALS
34 BLANK NODES