Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification
Identifieur interne : 002706 ( Pmc/Corpus ); précédent : 002705; suivant : 002707Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification
Auteurs : Thiago Morelli ; Kevin L. Moss ; James Beck ; John S. Preisser ; Di Wu ; Kimon Divaris ; Steven OffenbacherSource :
- Journal of periodontology [ 0022-3492 ] ; 2016.
Abstract
Our goal was to develop data analytical tools that enable the identification and definition of distinct periodontal profile and tooth profile classes (PPC/TPC) of individuals using detailed clinical measures at the tooth-level, including both periodontal measurements and tooth loss.
Full-mouth clinical periodontal measurements (7 indices) from 6,793 subjects from the Dental Atherosclerosis Risk in Communities Study (DARIC) were used to identify PPC. A custom Latent Class Analysis (LCA) procedure was developed to identify seven distinct PPC/TPC. Each PPC/TPC was associated with different clinical phenotypes. The NHANES (2009-2010/2011-2012) and the Piedmont study populations were used for validation with total of 7,785 subjects.
LCA method identified members of seven distinct periodontal profile classes (PPC A-G) and seven distinct tooth profile classes (TPC A-G) ranging from health to severe periodontal disease status. The method enabled the identification of classes with common clinical manifestations that are hidden under the current periodontal classification schemas. Class assignment was robust with small misclassification error in the presence of missing data. PPC algorithm was applied and confirmed in three distinct cohorts.
These findings suggest that periodontal and tooth profile classes using LCA can provide robust periodontal clinical definitions that reflect disease patterns in the population at a subject and tooth level. These classifications potentially can be used for patient stratification and thus provide tools for integrating multiple datasets to assess risk for periodontitis progression and tooth loss in dental patients.
Url:
DOI: 10.1902/jop.2016.160379
PubMed: 27620653
PubMed Central: 5288277
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PMC:5288277Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification</title><author><name sortKey="Morelli, Thiago" sort="Morelli, Thiago" uniqKey="Morelli T" first="Thiago" last="Morelli">Thiago Morelli</name><affiliation><nlm:aff id="A1">Department of Periodontology, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Center for Oral and Systemic Diseases, University of North Carolina at Chapel Hill, School of Dentistry, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Moss, Kevin L" sort="Moss, Kevin L" uniqKey="Moss K" first="Kevin L." last="Moss">Kevin L. Moss</name><affiliation><nlm:aff id="A3">Center for Oral and Systemic Diseases, University of North Carolina at Chapel Hill, School of Dentistry, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Beck, James" sort="Beck, James" uniqKey="Beck J" first="James" last="Beck">James Beck</name><affiliation><nlm:aff id="A2">Department of Dental Ecology, School of Dentistry, University of North Carolina at Chapel hill Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Preisser, John S" sort="Preisser, John S" uniqKey="Preisser J" first="John S." last="Preisser">John S. Preisser</name><affiliation><nlm:aff id="A4">Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Wu, Di" sort="Wu, Di" uniqKey="Wu D" first="Di" last="Wu">Di Wu</name><affiliation><nlm:aff id="A1">Department of Periodontology, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Divaris, Kimon" sort="Divaris, Kimon" uniqKey="Divaris K" first="Kimon" last="Divaris">Kimon Divaris</name><affiliation><nlm:aff id="A5">Department of Pediatric Dentistry, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A6">Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Offenbacher, Steven" sort="Offenbacher, Steven" uniqKey="Offenbacher S" first="Steven" last="Offenbacher">Steven Offenbacher</name><affiliation><nlm:aff id="A1">Department of Periodontology, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Center for Oral and Systemic Diseases, University of North Carolina at Chapel Hill, School of Dentistry, Chapel Hill, NC, USA</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27620653</idno><idno type="pmc">5288277</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288277</idno><idno type="RBID">PMC:5288277</idno><idno type="doi">10.1902/jop.2016.160379</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">002706</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002706</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification</title><author><name sortKey="Morelli, Thiago" sort="Morelli, Thiago" uniqKey="Morelli T" first="Thiago" last="Morelli">Thiago Morelli</name><affiliation><nlm:aff id="A1">Department of Periodontology, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Center for Oral and Systemic Diseases, University of North Carolina at Chapel Hill, School of Dentistry, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Moss, Kevin L" sort="Moss, Kevin L" uniqKey="Moss K" first="Kevin L." last="Moss">Kevin L. Moss</name><affiliation><nlm:aff id="A3">Center for Oral and Systemic Diseases, University of North Carolina at Chapel Hill, School of Dentistry, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Beck, James" sort="Beck, James" uniqKey="Beck J" first="James" last="Beck">James Beck</name><affiliation><nlm:aff id="A2">Department of Dental Ecology, School of Dentistry, University of North Carolina at Chapel hill Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Preisser, John S" sort="Preisser, John S" uniqKey="Preisser J" first="John S." last="Preisser">John S. Preisser</name><affiliation><nlm:aff id="A4">Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Wu, Di" sort="Wu, Di" uniqKey="Wu D" first="Di" last="Wu">Di Wu</name><affiliation><nlm:aff id="A1">Department of Periodontology, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Divaris, Kimon" sort="Divaris, Kimon" uniqKey="Divaris K" first="Kimon" last="Divaris">Kimon Divaris</name><affiliation><nlm:aff id="A5">Department of Pediatric Dentistry, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A6">Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</nlm:aff></affiliation></author><author><name sortKey="Offenbacher, Steven" sort="Offenbacher, Steven" uniqKey="Offenbacher S" first="Steven" last="Offenbacher">Steven Offenbacher</name><affiliation><nlm:aff id="A1">Department of Periodontology, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Center for Oral and Systemic Diseases, University of North Carolina at Chapel Hill, School of Dentistry, Chapel Hill, NC, USA</nlm:aff></affiliation></author></analytic><series><title level="j">Journal of periodontology</title><idno type="ISSN">0022-3492</idno><idno type="eISSN">1943-3670</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title><p id="P2">Our goal was to develop data analytical tools that enable the identification and definition of distinct periodontal profile and tooth profile classes (PPC/TPC) of individuals using detailed clinical measures at the tooth-level, including both periodontal measurements and tooth loss.</p></sec><sec id="S2"><title>Materials and Methods</title><p id="P3">Full-mouth clinical periodontal measurements (7 indices) from 6,793 subjects from the Dental Atherosclerosis Risk in Communities Study (DARIC) were used to identify PPC. A custom Latent Class Analysis (LCA) procedure was developed to identify seven distinct PPC/TPC. Each PPC/TPC was associated with different clinical phenotypes. The NHANES (2009-2010/2011-2012) and the Piedmont study populations were used for validation with total of 7,785 subjects.</p></sec><sec id="S3"><title>Results</title><p id="P4">LCA method identified members of seven distinct periodontal profile classes (PPC A-G) and seven distinct tooth profile classes (TPC A-G) ranging from health to severe periodontal disease status. The method enabled the identification of classes with common clinical manifestations that are hidden under the current periodontal classification schemas. Class assignment was robust with small misclassification error in the presence of missing data. PPC algorithm was applied and confirmed in three distinct cohorts.</p></sec><sec id="S4"><title>Conclusions</title><p id="P5">These findings suggest that periodontal and tooth profile classes using LCA can provide robust periodontal clinical definitions that reflect disease patterns in the population at a subject and tooth level. These classifications potentially can be used for patient stratification and thus provide tools for integrating multiple datasets to assess risk for periodontitis progression and tooth loss in dental patients.</p></sec></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8000345</journal-id><journal-id journal-id-type="pubmed-jr-id">5144</journal-id><journal-id journal-id-type="nlm-ta">J Periodontol</journal-id><journal-id journal-id-type="iso-abbrev">J. Periodontol.</journal-id><journal-title-group><journal-title>Journal of periodontology</journal-title></journal-title-group><issn pub-type="ppub">0022-3492</issn><issn pub-type="epub">1943-3670</issn></journal-meta><article-meta><article-id pub-id-type="pmid">27620653</article-id><article-id pub-id-type="pmc">5288277</article-id><article-id pub-id-type="doi">10.1902/jop.2016.160379</article-id><article-id pub-id-type="manuscript">NIHMS818680</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Morelli</surname><given-names>Thiago</given-names></name><degrees>DDS, MS</degrees><xref ref-type="aff" rid="A1">*</xref><xref ref-type="aff" rid="A3">‡</xref></contrib><contrib contrib-type="author"><name><surname>Moss</surname><given-names>Kevin L.</given-names></name><xref ref-type="aff" rid="A3">‡</xref></contrib><contrib contrib-type="author"><name><surname>Beck</surname><given-names>James</given-names></name><degrees>Ph.D</degrees><xref ref-type="aff" rid="A2">†</xref></contrib><contrib contrib-type="author"><name><surname>Preisser</surname><given-names>John S.</given-names></name><degrees>Ph.D</degrees><xref ref-type="aff" rid="A4">§</xref></contrib><contrib contrib-type="author"><name><surname>Wu</surname><given-names>Di</given-names></name><degrees>MS, PhD</degrees><xref ref-type="aff" rid="A1">*</xref></contrib><contrib contrib-type="author"><name><surname>Divaris</surname><given-names>Kimon</given-names></name><degrees>DDS, Ph.D</degrees><xref ref-type="aff" rid="A5">∥</xref><xref ref-type="aff" rid="A6">¶</xref></contrib><contrib contrib-type="author"><name><surname>Offenbacher</surname><given-names>Steven</given-names></name><degrees>DDS, MMSc, Ph.D</degrees><xref ref-type="aff" rid="A1">*</xref><xref ref-type="aff" rid="A3">‡</xref></contrib></contrib-group><aff id="A1"><label>*</label>Department of Periodontology, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</aff><aff id="A2"><label>†</label>Department of Dental Ecology, School of Dentistry, University of North Carolina at Chapel hill Chapel Hill, NC, USA</aff><aff id="A3"><label>‡</label>Center for Oral and Systemic Diseases, University of North Carolina at Chapel Hill, School of Dentistry, Chapel Hill, NC, USA</aff><aff id="A4"><label>§</label>Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</aff><aff id="A5"><label>∥</label>Department of Pediatric Dentistry, School of Dentistry, University of North Carolina at Chapel hill, Chapel Hill, NC, USA</aff><aff id="A6"><label>¶</label>Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</aff><author-notes><corresp id="CR1"><bold>Corresponding author:</bold> Thiago Morelli, Department of Periodontology, 111 Brauer Hall, School of Dentistry, University of North Carolina at Chapel Hill, Campus Box # 7450, Chapel Hill, NC 27599-7450, Phone: (919) 537-3731, Fax: (919) 537-3732, <email>thiago_morelli@unc.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>24</day><month>9</month><year>2016</year></pub-date><pub-date pub-type="epub"><day>13</day><month>9</month><year>2016</year></pub-date><pub-date pub-type="ppub"><month>2</month><year>2017</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>8</month><year>2017</year></pub-date><volume>88</volume><issue>2</issue><fpage>153</fpage><lpage>165</lpage><pmc-comment>elocation-id from pubmed: 10.1902/jop.2016.160379</pmc-comment>
<abstract id="ABS1"><sec id="S1"><title>Background</title><p id="P2">Our goal was to develop data analytical tools that enable the identification and definition of distinct periodontal profile and tooth profile classes (PPC/TPC) of individuals using detailed clinical measures at the tooth-level, including both periodontal measurements and tooth loss.</p></sec><sec id="S2"><title>Materials and Methods</title><p id="P3">Full-mouth clinical periodontal measurements (7 indices) from 6,793 subjects from the Dental Atherosclerosis Risk in Communities Study (DARIC) were used to identify PPC. A custom Latent Class Analysis (LCA) procedure was developed to identify seven distinct PPC/TPC. Each PPC/TPC was associated with different clinical phenotypes. The NHANES (2009-2010/2011-2012) and the Piedmont study populations were used for validation with total of 7,785 subjects.</p></sec><sec id="S3"><title>Results</title><p id="P4">LCA method identified members of seven distinct periodontal profile classes (PPC A-G) and seven distinct tooth profile classes (TPC A-G) ranging from health to severe periodontal disease status. The method enabled the identification of classes with common clinical manifestations that are hidden under the current periodontal classification schemas. Class assignment was robust with small misclassification error in the presence of missing data. PPC algorithm was applied and confirmed in three distinct cohorts.</p></sec><sec id="S4"><title>Conclusions</title><p id="P5">These findings suggest that periodontal and tooth profile classes using LCA can provide robust periodontal clinical definitions that reflect disease patterns in the population at a subject and tooth level. These classifications potentially can be used for patient stratification and thus provide tools for integrating multiple datasets to assess risk for periodontitis progression and tooth loss in dental patients.</p></sec></abstract><abstract abstract-type="graphical" id="ABS2"><p id="P6"><bold>Summary:</bold> Latent class analysis defined seven periodontal classes with distinct phenotypes.</p></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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