Exposure to PM2.5 is a risk factor for acute exacerbation of surgically diagnosed idiopathic pulmonary fibrosis: a case–control study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-03-12

AUTHORS

Masahiro Tahara, Yoshihisa Fujino, Kei Yamasaki, Keishi Oda, Takashi Kido, Noriho Sakamoto, Toshinori Kawanami, Kensuke Kataoka, Ryoko Egashira, Mikiko Hashisako, Yuzo Suzuki, Tomoyuki Fujisawa, Hiroshi Mukae, Takafumi Suda, Kazuhiro Yatera

ABSTRACT

BackgroundShort-term exposure to ozone and nitrogen dioxide is a risk factor for acute exacerbation (AE) of idiopathic pulmonary fibrosis (AE-IPF). The comprehensive roles of exposure to fine particulate matter in AE-IPF remain unclear. We aim to investigate the association of short-term exposure to fine particulate matter with the incidence of AE-IPF and to determine the exposure-risk time window during 3 months before the diagnosis of AE-IPF.MethodsIPF patients were retrospectively identified from the nationwide registry in Japan. We conducted a case–control study to assess the correlation between AE-IPF incidence and short-term exposure to eight air pollutants, including particulate matter < 2.5 µm (PM2.5). In the time-series data, we compared monthly mean exposure concentrations between months with AE (case months) and those without AE (control months). We used multilevel mixed-effects logistic regression models to consider individual and institutional-level variables, and also adjusted these models for several covariates, including temperature and humidity. An additional analysis with different monthly lag periods was conducted to determine the risk-exposure time window for 3 months before the diagnosis of AE-IPF.ResultsOverall, 152 patients with surgically diagnosed IPF were analyzed. AE-IPF was significantly associated with an increased mean exposure level of nitric oxide (NO) and PM2.5 30 days prior to AE diagnosis. Adjusted odds ratio (OR) with a 10 unit increase in NO was 1.46 [95% confidence interval (CI) 1.11–1.93], and PM2.5 was 2.56 (95% CI 1.27–5.15). Additional analysis revealed that AE-IPF was associated with exposure to NO during the lag periods lag 1, lag 2, lag 1–2, and lag 1–3, and PM2.5 during the lag periods lag 1 and lag 1–2.ConclusionsOur results show that PM2.5 is a risk factor for AE-IPF, and the risk-exposure time window related to AE-IPF may lie within 1–2 months before the AE diagnosis. Further investigation is needed on the novel findings regarding the exposure to NO and AE-IPF. More... »

PAGES

80

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12931-021-01671-6

DOI

http://dx.doi.org/10.1186/s12931-021-01671-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1136367654

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/33711988


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Air Pollutants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Over Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Exposure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Idiopathic Pulmonary Fibrosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "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": "Particulate Matter", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.271052.3", 
          "name": [
            "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tahara", 
        "givenName": "Masahiro", 
        "id": "sg:person.013445466121.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013445466121.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan", 
          "id": "http://www.grid.ac/institutes/grid.271052.3", 
          "name": [
            "Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujino", 
        "givenName": "Yoshihisa", 
        "id": "sg:person.01171406332.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171406332.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.271052.3", 
          "name": [
            "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamasaki", 
        "givenName": "Kei", 
        "id": "sg:person.01347162207.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347162207.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.271052.3", 
          "name": [
            "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oda", 
        "givenName": "Keishi", 
        "id": "sg:person.01146120052.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146120052.08"
        ], 
        "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, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan", 
            "Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kido", 
        "givenName": "Takashi", 
        "id": "sg:person.01211346734.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211346734.05"
        ], 
        "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 Graduate School of Biomedical Sciences, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakamoto", 
        "givenName": "Noriho", 
        "id": "sg:person.01057344215.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057344215.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.271052.3", 
          "name": [
            "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawanami", 
        "givenName": "Toshinori", 
        "id": "sg:person.0623556107.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623556107.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine and Allergy, Tosei General Hospital, Seto, Japan", 
          "id": "http://www.grid.ac/institutes/grid.417192.8", 
          "name": [
            "Department of Respiratory Medicine and Allergy, Tosei General Hospital, Seto, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kataoka", 
        "givenName": "Kensuke", 
        "id": "sg:person.0671066243.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671066243.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Faculty of Medicine, Saga University, Saga, Japan", 
          "id": "http://www.grid.ac/institutes/grid.412339.e", 
          "name": [
            "Department of Radiology, Faculty of Medicine, Saga University, Saga, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Egashira", 
        "givenName": "Ryoko", 
        "id": "sg:person.0764716077.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764716077.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hashisako", 
        "givenName": "Mikiko", 
        "id": "sg:person.0656173367.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656173367.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan", 
          "id": "http://www.grid.ac/institutes/grid.505613.4", 
          "name": [
            "Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suzuki", 
        "givenName": "Yuzo", 
        "id": "sg:person.0754655631.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754655631.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan", 
          "id": "http://www.grid.ac/institutes/grid.505613.4", 
          "name": [
            "Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujisawa", 
        "givenName": "Tomoyuki", 
        "id": "sg:person.01132556351.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132556351.84"
        ], 
        "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 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": "Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan", 
          "id": "http://www.grid.ac/institutes/grid.505613.4", 
          "name": [
            "Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suda", 
        "givenName": "Takafumi", 
        "id": "sg:person.012032116172.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012032116172.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.271052.3", 
          "name": [
            "Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yatera", 
        "givenName": "Kazuhiro", 
        "id": "sg:person.01032646234.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032646234.50"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/s12931-018-0845-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105896706", 
          "https://doi.org/10.1186/s12931-018-0845-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-03-12", 
    "datePublishedReg": "2021-03-12", 
    "description": "BackgroundShort-term exposure to ozone and nitrogen dioxide is a risk factor for acute exacerbation (AE) of idiopathic pulmonary fibrosis (AE-IPF). The comprehensive roles of exposure to fine particulate matter in AE-IPF remain unclear. We aim to investigate the association of short-term exposure to fine particulate matter with the incidence of AE-IPF and to determine the exposure-risk time window during 3\u00a0months before the diagnosis of AE-IPF.MethodsIPF patients were retrospectively identified from the nationwide registry in Japan. We conducted a case\u2013control study to assess the correlation between AE-IPF incidence and short-term exposure to eight air pollutants, including particulate matter\u2009<\u20092.5\u00a0\u00b5m (PM2.5). In the time-series data, we compared monthly mean exposure concentrations between months with AE (case months) and those without AE (control months). We used multilevel mixed-effects logistic regression models to consider individual and institutional-level variables, and also adjusted these models for several covariates, including temperature and humidity. An additional analysis with different monthly lag periods was conducted to determine the risk-exposure time window for 3\u00a0months before the diagnosis of AE-IPF.ResultsOverall, 152 patients with surgically diagnosed IPF were analyzed. AE-IPF was significantly associated with an increased mean exposure level of nitric oxide (NO) and PM2.5 30\u00a0days prior to AE diagnosis. Adjusted odds ratio (OR) with a 10 unit increase in NO was 1.46 [95% confidence interval (CI) 1.11\u20131.93], and PM2.5 was 2.56 (95% CI 1.27\u20135.15). Additional analysis revealed that AE-IPF was associated with exposure to NO during the lag periods lag 1, lag 2, lag 1\u20132, and lag 1\u20133, and PM2.5 during the lag periods lag 1 and lag 1\u20132.ConclusionsOur results show that PM2.5 is a risk factor for AE-IPF, and the risk-exposure time window related to AE-IPF may lie within 1\u20132\u00a0months before the AE diagnosis. Further investigation is needed on the novel findings regarding the exposure to NO and AE-IPF.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12931-021-01671-6", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.8420993", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1028525", 
        "issn": [
          "1465-9921", 
          "1465-993X"
        ], 
        "name": "Respiratory Research", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "keywords": [
      "AE-IPF", 
      "acute exacerbation", 
      "idiopathic pulmonary fibrosis", 
      "case-control study", 
      "risk factors", 
      "nitric oxide", 
      "pulmonary fibrosis", 
      "odds ratio", 
      "AE diagnosis", 
      "short-term exposure", 
      "multilevel mixed-effects logistic regression model", 
      "adjusted odds ratio", 
      "mixed effects logistic regression models", 
      "logistic regression models", 
      "mean exposure levels", 
      "nationwide registry", 
      "fine particulate matter", 
      "mean exposure concentrations", 
      "diagnosis", 
      "months", 
      "exposure levels", 
      "exacerbation", 
      "patients", 
      "fibrosis", 
      "unit increase", 
      "novel findings", 
      "exposure concentrations", 
      "exposure", 
      "incidence", 
      "further investigation", 
      "Additional analyses", 
      "regression models", 
      "lag period", 
      "comprehensive role", 
      "lag 2", 
      "time window", 
      "ResultsOverall", 
      "particulate matter", 
      "registry", 
      "factors", 
      "IPF", 
      "period", 
      "association", 
      "study", 
      "air pollutants", 
      "covariates", 
      "days", 
      "lag 1", 
      "nitrogen dioxide", 
      "findings", 
      "levels", 
      "PM2.5", 
      "role", 
      "correlation", 
      "increase", 
      "analysis", 
      "concentration", 
      "data", 
      "window", 
      "variables", 
      "ratio", 
      "Japan", 
      "investigation", 
      "model", 
      "results", 
      "institutional-level variables", 
      "matter", 
      "oxide", 
      "ozone", 
      "pollutants", 
      "dioxide", 
      "humidity", 
      "time series data", 
      "temperature"
    ], 
    "name": "Exposure to PM2.5 is a risk factor for acute exacerbation of surgically diagnosed idiopathic pulmonary fibrosis: a case\u2013control study", 
    "pagination": "80", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1136367654"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12931-021-01671-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "33711988"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12931-021-01671-6", 
      "https://app.dimensions.ai/details/publication/pub.1136367654"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:49", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_914.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12931-021-01671-6"
  }
]
 

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/s12931-021-01671-6'

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/s12931-021-01671-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12931-021-01671-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12931-021-01671-6'


 

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

317 TRIPLES      21 PREDICATES      115 URIs      106 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12931-021-01671-6 schema:about N09a5d332217646e5aef1e903e9c2677b
2 N206594a8a9e44f2087f964b3c139440b
3 N34b62d66fbc14d039fd3c65079af9dfb
4 N3869bdd2ad834cb293ee9f991e88ef93
5 N43e17e8173ae4b8db720dcb3d2103fab
6 N46e57134263f4695b56f8ebf074a7950
7 N4849c3861c594f7f94ec0320fda6c0af
8 N5890c01895ad4a7ca22ec46068b92b8d
9 N64c30569153e47b5af54e007e9e5d704
10 N752b958e279543018d3733d9522a0f5a
11 N96fbc09b4b6a468b8869c225a1810195
12 Na864732dd0614a1d8a3322890379b981
13 Nbec98d43252442c7b4b772ca3c0d72af
14 Ne2360da0474f4a64adf0c42677c3a073
15 Nfe46f524bdfc4285b05a22ecda198112
16 anzsrc-for:11
17 anzsrc-for:1117
18 schema:author N3a5183ecffd84f47b1496fd3b6e44809
19 schema:citation sg:pub.10.1186/s12931-018-0845-5
20 schema:datePublished 2021-03-12
21 schema:datePublishedReg 2021-03-12
22 schema:description BackgroundShort-term exposure to ozone and nitrogen dioxide is a risk factor for acute exacerbation (AE) of idiopathic pulmonary fibrosis (AE-IPF). The comprehensive roles of exposure to fine particulate matter in AE-IPF remain unclear. We aim to investigate the association of short-term exposure to fine particulate matter with the incidence of AE-IPF and to determine the exposure-risk time window during 3 months before the diagnosis of AE-IPF.MethodsIPF patients were retrospectively identified from the nationwide registry in Japan. We conducted a case–control study to assess the correlation between AE-IPF incidence and short-term exposure to eight air pollutants, including particulate matter < 2.5 µm (PM2.5). In the time-series data, we compared monthly mean exposure concentrations between months with AE (case months) and those without AE (control months). We used multilevel mixed-effects logistic regression models to consider individual and institutional-level variables, and also adjusted these models for several covariates, including temperature and humidity. An additional analysis with different monthly lag periods was conducted to determine the risk-exposure time window for 3 months before the diagnosis of AE-IPF.ResultsOverall, 152 patients with surgically diagnosed IPF were analyzed. AE-IPF was significantly associated with an increased mean exposure level of nitric oxide (NO) and PM2.5 30 days prior to AE diagnosis. Adjusted odds ratio (OR) with a 10 unit increase in NO was 1.46 [95% confidence interval (CI) 1.11–1.93], and PM2.5 was 2.56 (95% CI 1.27–5.15). Additional analysis revealed that AE-IPF was associated with exposure to NO during the lag periods lag 1, lag 2, lag 1–2, and lag 1–3, and PM2.5 during the lag periods lag 1 and lag 1–2.ConclusionsOur results show that PM2.5 is a risk factor for AE-IPF, and the risk-exposure time window related to AE-IPF may lie within 1–2 months before the AE diagnosis. Further investigation is needed on the novel findings regarding the exposure to NO and AE-IPF.
23 schema:genre article
24 schema:isAccessibleForFree true
25 schema:isPartOf N0d2249417e1c4e8a98c447783ce8d389
26 N1a3a738ad93d45c7ac513e9094ff61cb
27 sg:journal.1028525
28 schema:keywords AE diagnosis
29 AE-IPF
30 Additional analyses
31 IPF
32 Japan
33 PM2.5
34 ResultsOverall
35 acute exacerbation
36 adjusted odds ratio
37 air pollutants
38 analysis
39 association
40 case-control study
41 comprehensive role
42 concentration
43 correlation
44 covariates
45 data
46 days
47 diagnosis
48 dioxide
49 exacerbation
50 exposure
51 exposure concentrations
52 exposure levels
53 factors
54 fibrosis
55 findings
56 fine particulate matter
57 further investigation
58 humidity
59 idiopathic pulmonary fibrosis
60 incidence
61 increase
62 institutional-level variables
63 investigation
64 lag 1
65 lag 2
66 lag period
67 levels
68 logistic regression models
69 matter
70 mean exposure concentrations
71 mean exposure levels
72 mixed effects logistic regression models
73 model
74 months
75 multilevel mixed-effects logistic regression model
76 nationwide registry
77 nitric oxide
78 nitrogen dioxide
79 novel findings
80 odds ratio
81 oxide
82 ozone
83 particulate matter
84 patients
85 period
86 pollutants
87 pulmonary fibrosis
88 ratio
89 registry
90 regression models
91 results
92 risk factors
93 role
94 short-term exposure
95 study
96 temperature
97 time series data
98 time window
99 unit increase
100 variables
101 window
102 schema:name Exposure to PM2.5 is a risk factor for acute exacerbation of surgically diagnosed idiopathic pulmonary fibrosis: a case–control study
103 schema:pagination 80
104 schema:productId N41606204928f4b8e8c1b1f52597cfba0
105 N9d4e72a2b3a544a1b5e06592de0b5de8
106 Nc827971936f94cd589e934da294338eb
107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136367654
108 https://doi.org/10.1186/s12931-021-01671-6
109 schema:sdDatePublished 2022-10-01T06:49
110 schema:sdLicense https://scigraph.springernature.com/explorer/license/
111 schema:sdPublisher Nb02ea8fc08bd4a1c82b7df3ab1ba0496
112 schema:url https://doi.org/10.1186/s12931-021-01671-6
113 sgo:license sg:explorer/license/
114 sgo:sdDataset articles
115 rdf:type schema:ScholarlyArticle
116 N09a5d332217646e5aef1e903e9c2677b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Retrospective Studies
118 rdf:type schema:DefinedTerm
119 N0d2249417e1c4e8a98c447783ce8d389 schema:volumeNumber 22
120 rdf:type schema:PublicationVolume
121 N142c0304b3604999b5c7992f33676107 rdf:first sg:person.0656173367.60
122 rdf:rest Nf4a62d27a1ae47029cb98ee803c67c4c
123 N1a3a738ad93d45c7ac513e9094ff61cb schema:issueNumber 1
124 rdf:type schema:PublicationIssue
125 N206594a8a9e44f2087f964b3c139440b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Female
127 rdf:type schema:DefinedTerm
128 N34b62d66fbc14d039fd3c65079af9dfb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Air Pollutants
130 rdf:type schema:DefinedTerm
131 N380602f2458845608a299c1c0f22f482 rdf:first sg:person.01057344215.61
132 rdf:rest Ncb28321495f64d1f9bc34c8173136a2d
133 N3869bdd2ad834cb293ee9f991e88ef93 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Particulate Matter
135 rdf:type schema:DefinedTerm
136 N3a5183ecffd84f47b1496fd3b6e44809 rdf:first sg:person.013445466121.40
137 rdf:rest Ne8942b421ff347dd918b66ea7593556b
138 N41606204928f4b8e8c1b1f52597cfba0 schema:name dimensions_id
139 schema:value pub.1136367654
140 rdf:type schema:PropertyValue
141 N43e17e8173ae4b8db720dcb3d2103fab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Environmental Exposure
143 rdf:type schema:DefinedTerm
144 N459ed6123ff246c68f1cfc62424a2d1e rdf:first sg:person.0671066243.36
145 rdf:rest N5acd100802d940b3ba08a5e443891f08
146 N46e57134263f4695b56f8ebf074a7950 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Aged
148 rdf:type schema:DefinedTerm
149 N4849c3861c594f7f94ec0320fda6c0af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Male
151 rdf:type schema:DefinedTerm
152 N501d20812d544ab880009b700922070d rdf:first sg:person.01132556351.84
153 rdf:rest N757b6aaec2594af682e55155013097d2
154 N5890c01895ad4a7ca22ec46068b92b8d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Risk Factors
156 rdf:type schema:DefinedTerm
157 N5acd100802d940b3ba08a5e443891f08 rdf:first sg:person.0764716077.07
158 rdf:rest N142c0304b3604999b5c7992f33676107
159 N6307a7e988a446a2a2a19db523a2f7cd rdf:first sg:person.01032646234.50
160 rdf:rest rdf:nil
161 N64c30569153e47b5af54e007e9e5d704 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Cross-Over Studies
163 rdf:type schema:DefinedTerm
164 N6aa8e6dfd9a3464ebcb17fd919f19592 rdf:first sg:person.01211346734.05
165 rdf:rest N380602f2458845608a299c1c0f22f482
166 N752b958e279543018d3733d9522a0f5a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Follow-Up Studies
168 rdf:type schema:DefinedTerm
169 N757b6aaec2594af682e55155013097d2 rdf:first sg:person.01143125277.28
170 rdf:rest N8f57df3dcdb441d0a107017b83186b93
171 N8f57df3dcdb441d0a107017b83186b93 rdf:first sg:person.012032116172.13
172 rdf:rest N6307a7e988a446a2a2a19db523a2f7cd
173 N96fbc09b4b6a468b8869c225a1810195 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Humans
175 rdf:type schema:DefinedTerm
176 N9c79bd6c95594edb99393a86dc5ea304 rdf:first sg:person.01347162207.34
177 rdf:rest Nac1c2a157d6e4cd19d5eb906313ac3e3
178 N9d4e72a2b3a544a1b5e06592de0b5de8 schema:name pubmed_id
179 schema:value 33711988
180 rdf:type schema:PropertyValue
181 Na864732dd0614a1d8a3322890379b981 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Japan
183 rdf:type schema:DefinedTerm
184 Nac1c2a157d6e4cd19d5eb906313ac3e3 rdf:first sg:person.01146120052.08
185 rdf:rest N6aa8e6dfd9a3464ebcb17fd919f19592
186 Nb02ea8fc08bd4a1c82b7df3ab1ba0496 schema:name Springer Nature - SN SciGraph project
187 rdf:type schema:Organization
188 Nbec98d43252442c7b4b772ca3c0d72af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Middle Aged
190 rdf:type schema:DefinedTerm
191 Nc827971936f94cd589e934da294338eb schema:name doi
192 schema:value 10.1186/s12931-021-01671-6
193 rdf:type schema:PropertyValue
194 Ncb28321495f64d1f9bc34c8173136a2d rdf:first sg:person.0623556107.50
195 rdf:rest N459ed6123ff246c68f1cfc62424a2d1e
196 Ne2360da0474f4a64adf0c42677c3a073 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Idiopathic Pulmonary Fibrosis
198 rdf:type schema:DefinedTerm
199 Ne8942b421ff347dd918b66ea7593556b rdf:first sg:person.01171406332.78
200 rdf:rest N9c79bd6c95594edb99393a86dc5ea304
201 Nf4a62d27a1ae47029cb98ee803c67c4c rdf:first sg:person.0754655631.00
202 rdf:rest N501d20812d544ab880009b700922070d
203 Nfe46f524bdfc4285b05a22ecda198112 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
204 schema:name Case-Control Studies
205 rdf:type schema:DefinedTerm
206 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
207 schema:name Medical and Health Sciences
208 rdf:type schema:DefinedTerm
209 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
210 schema:name Public Health and Health Services
211 rdf:type schema:DefinedTerm
212 sg:grant.8420993 http://pending.schema.org/fundedItem sg:pub.10.1186/s12931-021-01671-6
213 rdf:type schema:MonetaryGrant
214 sg:journal.1028525 schema:issn 1465-9921
215 1465-993X
216 schema:name Respiratory Research
217 schema:publisher Springer Nature
218 rdf:type schema:Periodical
219 sg:person.01032646234.50 schema:affiliation grid-institutes:grid.271052.3
220 schema:familyName Yatera
221 schema:givenName Kazuhiro
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032646234.50
223 rdf:type schema:Person
224 sg:person.01057344215.61 schema:affiliation grid-institutes:grid.174567.6
225 schema:familyName Sakamoto
226 schema:givenName Noriho
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057344215.61
228 rdf:type schema:Person
229 sg:person.01132556351.84 schema:affiliation grid-institutes:grid.505613.4
230 schema:familyName Fujisawa
231 schema:givenName Tomoyuki
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132556351.84
233 rdf:type schema:Person
234 sg:person.01143125277.28 schema:affiliation grid-institutes:grid.174567.6
235 schema:familyName Mukae
236 schema:givenName Hiroshi
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143125277.28
238 rdf:type schema:Person
239 sg:person.01146120052.08 schema:affiliation grid-institutes:grid.271052.3
240 schema:familyName Oda
241 schema:givenName Keishi
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146120052.08
243 rdf:type schema:Person
244 sg:person.01171406332.78 schema:affiliation grid-institutes:grid.271052.3
245 schema:familyName Fujino
246 schema:givenName Yoshihisa
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171406332.78
248 rdf:type schema:Person
249 sg:person.012032116172.13 schema:affiliation grid-institutes:grid.505613.4
250 schema:familyName Suda
251 schema:givenName Takafumi
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012032116172.13
253 rdf:type schema:Person
254 sg:person.01211346734.05 schema:affiliation grid-institutes:grid.174567.6
255 schema:familyName Kido
256 schema:givenName Takashi
257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211346734.05
258 rdf:type schema:Person
259 sg:person.013445466121.40 schema:affiliation grid-institutes:grid.271052.3
260 schema:familyName Tahara
261 schema:givenName Masahiro
262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013445466121.40
263 rdf:type schema:Person
264 sg:person.01347162207.34 schema:affiliation grid-institutes:grid.271052.3
265 schema:familyName Yamasaki
266 schema:givenName Kei
267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347162207.34
268 rdf:type schema:Person
269 sg:person.0623556107.50 schema:affiliation grid-institutes:grid.271052.3
270 schema:familyName Kawanami
271 schema:givenName Toshinori
272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623556107.50
273 rdf:type schema:Person
274 sg:person.0656173367.60 schema:affiliation grid-institutes:grid.177174.3
275 schema:familyName Hashisako
276 schema:givenName Mikiko
277 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656173367.60
278 rdf:type schema:Person
279 sg:person.0671066243.36 schema:affiliation grid-institutes:grid.417192.8
280 schema:familyName Kataoka
281 schema:givenName Kensuke
282 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671066243.36
283 rdf:type schema:Person
284 sg:person.0754655631.00 schema:affiliation grid-institutes:grid.505613.4
285 schema:familyName Suzuki
286 schema:givenName Yuzo
287 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754655631.00
288 rdf:type schema:Person
289 sg:person.0764716077.07 schema:affiliation grid-institutes:grid.412339.e
290 schema:familyName Egashira
291 schema:givenName Ryoko
292 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764716077.07
293 rdf:type schema:Person
294 sg:pub.10.1186/s12931-018-0845-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105896706
295 https://doi.org/10.1186/s12931-018-0845-5
296 rdf:type schema:CreativeWork
297 grid-institutes:grid.174567.6 schema:alternateName Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
298 schema:name Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
299 Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan
300 rdf:type schema:Organization
301 grid-institutes:grid.177174.3 schema:alternateName Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
302 schema:name Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
303 rdf:type schema:Organization
304 grid-institutes:grid.271052.3 schema:alternateName Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
305 Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan
306 schema:name Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
307 Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, 807-8555, Kitakyushu-city, Fukuoka, Japan
308 rdf:type schema:Organization
309 grid-institutes:grid.412339.e schema:alternateName Department of Radiology, Faculty of Medicine, Saga University, Saga, Japan
310 schema:name Department of Radiology, Faculty of Medicine, Saga University, Saga, Japan
311 rdf:type schema:Organization
312 grid-institutes:grid.417192.8 schema:alternateName Department of Respiratory Medicine and Allergy, Tosei General Hospital, Seto, Japan
313 schema:name Department of Respiratory Medicine and Allergy, Tosei General Hospital, Seto, Japan
314 rdf:type schema:Organization
315 grid-institutes:grid.505613.4 schema:alternateName Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
316 schema:name Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
317 rdf:type schema:Organization
 




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


...