A Data-Driven Approach Identifies Subtypes of Caries From Dental Charting.

Sweden caries dental register latent class analysis phenotype‐wide association study

Journal

Community dentistry and oral epidemiology
ISSN: 1600-0528
Titre abrégé: Community Dent Oral Epidemiol
Pays: Denmark
ID NLM: 0410263

Informations de publication

Date de publication:
22 Oct 2024
Historique:
revised: 16 07 2024
received: 12 04 2024
accepted: 25 09 2024
medline: 22 10 2024
pubmed: 22 10 2024
entrez: 22 10 2024
Statut: aheadofprint

Résumé

The objectives were to: (i) assess the accuracy of dental data for adults obtained from the Swedish Quality Register on Caries and Periodontitis (SKaPa); (ii) explore whether Latent Class Analysis (LCA) can identify groups of people based on caries data; and (iii) characterise the dental, medical and behavioural characteristics of people in the LCA-derived classes. Caries data from the SKaPa register were compared with clinical data collected by five experienced dentists in a nested subgroup of the Malmö Offspring Study (MOS), namely the Malmö Offspring Dental Study (MODS) (n = 724) for validation. Dental data from SKaPa were then used to classify 61 984 adult participants of the Västerbotten Intervention Programme (VIP) into five classes using LCA and DMFS-based quintile ranking, respectively. Dental status (including caries progression over 5 years), medical, anthropometric and behavioural characteristics were compared between the groups. Analyses were replicated in 2767 adults in the MOS. DMFS-scores and number of teeth recorded within -2 to +2 years showed excellent agreement between the SKaPa and reference data with intra-class correlations > 0.90. The five LCA classes differed in mean DMFS from 10.0 to 94.4. There were strong associations between LCA class and health, and health and behavioural measures respectively, including some associations that were not detected using DMFS-ranked quintile groups. LCA class was associated with incremental change in DMFS, DFS, and number of teeth. The results in the MOS cohort were consistent with the results in the VIP cohort. Dental data for adults from the SKaPa registry were considered accurate within 2 years of recording. The LCA approach can classify participants into caries subtypes based on dental charting. These groups differ in health and behavioural characteristics and future caries increment. The LCA approach may capture some information that is missing from DMFS-ranked quintile groups, but is also heavily influenced by total DMFS, meaning that applying LCA in cumulative, highly age-determined diseases, such as caries, is a challenge.

Identifiants

pubmed: 39435997
doi: 10.1111/cdoe.13014
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Region Västerbotten
ID : dnr227534/Z/23/Z
Organisme : Stiftelsen Patentmedelsfonden för Odontologisk Profylaxforskning
Organisme : Vetenskapsrådet
Organisme : Riksförbundet HjärtLung
Organisme : Direktör Albert Påhlssons Stiftelse
Organisme : Crafoord Foundation
Organisme : Region Skåne
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Swedish Research Council
ID : dnr 2020-00930
Organisme : Patent Revenue Fund for Research in Preventive Odontology
ID : dnr I 2018-001

Informations de copyright

© 2024 The Author(s). Community Dentistry and Oral Epidemiology published by John Wiley & Sons Ltd.

Références

A. Bellatorre, S. H. Jackson, and K. Choi, “Development of the Diabetes Typology Model for Discerning Type 2 Diabetes Mellitus With National Survey Data,” PLoS One 12, no. 3 (2017): e0173103.
R. G. Verhaak, K. A. Hoadley, E. Purdom, et al., “Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1,” Cancer Cell 17, no. 1 (2010): 98–110.
C. M. Ulbricht, S. A. Chrysanthopoulou, L. Levin, and K. L. Lapane, “The Use of Latent Class Analysis for Identifying Subtypes of Depression: A Systematic Review,” Psychiatry Research 266 (2018): 228–246.
N. M. Scheltens, F. Galindo‐Garre, Y. A. Pijnenburg, et al., “The Identification of Cognitive Subtypes in Alzheimer's Disease Dementia Using Latent Class Analysis,” Journal of Neurology, Neurosurgery, and Psychiatry 87, no. 3 (2016): 235–243.
L. Hood and S. H. Friend, “Predictive, Personalized, Preventive, Participatory (P4) Cancer Medicine,” Nature Reviews. Clinical Oncology 8, no. 3 (2011): 184–187.
N. J. Kassebaum, A. G. C. Smith, E. Bernabe, et al., “Global, Regional, and National Prevalence, Incidence, and Disability‐Adjusted Life Years for Oral Conditions for 195 Countries, 1990–2015: A Systematic Analysis for the Global Burden of Diseases, Injuries, and Risk Factors,” Journal of Dental Research 96, no. 4 (2017): 380–387.
C. J. Moores, S. A. M. Kelly, and P. J. Moynihan, “Systematic Review of the Effect on Caries of Sugars Intake: Ten‐Year Update,” Journal of Dental Research 101, no. 9 (2022): 1034–1045.
J. L. Rodriguez, M. Thakkar‐Samtani, L. J. Heaton, E. P. Tranby, and T. Tiwari, “Caries Risk and Social Determinants of Health: A Big Data Report,” Journal of the American Dental Association (1939) 154, no. 2 (2023): 113–121.
J. E. Frencken, P. Sharma, L. Stenhouse, D. Green, D. Laverty, and T. Dietrich, “Global Epidemiology of Dental Caries and Severe Periodontitis–A Comprehensive Review,” Journal of Clinical Periodontology 44, no. Suppl 18 (2017): S94–S105.
J. R. Shaffer, E. Feingold, X. Wang, et al., “Clustering Tooth Surfaces Into Biologically Informative Caries Outcomes,” Journal of Dental Research 92, no. 1 (2013): 32–37.
S. Haworth, A. Esberg, P. Lif Holgerson, et al., “Heritability of Caries Scores, Trajectories, and Disease Subtypes,” Journal of Dental Research 99, no. 3 (2020): 264–270.
M. Simancas‐Pallares, A. Gormley, P. Shrestha, et al., “Evidence for Clinical Subtypes of Early Childhood Caries,” 2023.
A. Gormley, S. Haworth, M. Simancas‐Pallares, et al., “Subtypes of Early Childhood Caries Predict Future Caries Experience,” Community Dentistry and Oral Epidemiology 51, no. 5 (2023): 966–975.
I. von Bultzingslowen, H. Ostholm, L. Gahnberg, D. Ericson, J. L. Wennstrom, and J. Paulander, “Swedish Quality Registry for Caries and Periodontal Diseases–A Framework for Quality Development in Dentistry,” International Dental Journal 69, no. 5 (2019): 361–368.
M. Norberg, S. Wall, K. Boman, and L. Weinehall, “The Vasterbotten Intervention Programme: Background, Design and Implications,” Global Health Action 3 (2010): 3.
L. Brunkwall, D. Jonsson, U. Ericson, et al., “The Malmo Offspring Study (MOS): Design, Methods and First Results,” European Journal of Epidemiology 36, no. 1 (2021): 103–116.
T. Mensah, S. Tranaeus, A. Cederlund, A. Naimi‐Akbar, and G. Klingberg, “Swedish Quality Registry for Caries and Periodontal Diseases (SKaPa): Validation of Data on Dental Caries in 6‐ and 12‐Year‐Old Children,” BMC Oral Health 21, no. 1 (2021): 373.
J. Manjer, S. Carlsson, S. Elmstahl, et al., “The Malmo Diet and Cancer Study: Representativity, Cancer Incidence and Mortality in Participants and Non‐Participants,” European Journal of Cancer Prevention 10, no. 6 (2001): 489–499.
I. Johansson, G. Hallmans, A. Wikman, C. Biessy, E. Riboli, and R. Kaaks, “Validation and Calibration of Food‐Frequency Questionnaire Measurements in the Northern Sweden Health and Disease Cohort,” Public Health Nutrition 5, no. 3 (2002): 487–496.
I. Johansson, B. Van Guelpen, J. Hultdin, M. Johansson, G. Hallmans, and P. Stattin, “Validity of Food Frequency Questionnaire Estimated Intakes of Folate and Other B Vitamins in a Region Without Folic Acid Fortification,” European Journal of Clinical Nutrition 64, no. 8 (2010): 905–913.
L. Wang, Z. Zhang, J. J. McArdle, and T. A. Salthouse, “Investigating Ceiling Effects in Longitudinal Data Analysis,” Multivariate Behavioral Research 43, no. 3 (2009): 476–496.
T. M. Nguyen, U. Tonmukayakul, L. K. Le, H. Calache, and C. Mihalopoulos, “Economic Evaluations of Preventive Interventions for Dental Caries and Periodontitis: A Systematic Review,” Applied Health Economics and Health Policy 21, no. 1 (2023): 53–70.

Auteurs

Simon Haworth (S)

Bristol Dental School, University of Bristol, Bristol, UK.

Lisa Kastenbom (L)

Department of Odontology, Umeå University, Umeå, Sweden.

Peter Persson (P)

Department of Clinical Sciences, Lund University, Malmö, Sweden.
Public Dental Service of Skåne, Lund, Sweden.

Niklas Fries (N)

Department of Odontology, Umeå University, Umeå, Sweden.

Anders Esberg (A)

Department of Odontology, Umeå University, Umeå, Sweden.

Daniel Jönsson (D)

Department of Clinical Sciences, Lund University, Malmö, Sweden.
Public Dental Service of Skåne, Lund, Sweden.
Faculty of Odontology, Malmö University, Malmö, Sweden.

Ingegerd Johansson (I)

Department of Odontology, Umeå University, Umeå, Sweden.

Classifications MeSH