- At least three phenotypes exist among periodontitis patients
- Journal of Clinical Periodontology
- Volume | Issue number
- 44 | 11
- Pages (from-to)
- Document type
- Faculty of Dentistry (ACTA)
Aim:To identify phenotypes of periodontitis patients by the use of an
unsupervised modelling technique (clustering), based on pre-treatment
radiographic and microbiological characteristics.
Materials and methods: This retrospective study included data from 392 untreated periodontitis patients. Co-regularized spectral clustering algorithm was used to cluster the patients. The resulting clusters were subsequently
characterized based on their demographics, radiographic bone loss
patterns and microbial data.
Results: The vast majority of patients fitted into one of the three main clusters (accuracy 90%). Cluster A (n = 18) was characterized by high prevalence and high proportions of Aggregatibacter actinomycetemcomitans, a trend for a more localized pattern of alveolar bone loss and young individuals. Clusters B (n = 200) and C (n = 135) differed clearly in disease severity patterns and smoking habits, but not in microbiological characteristics.
Conclusion: On the basis of alveolar bone loss patterns and microbiological data,
untreated periodontitis patients can be clustered into at least three phenotypes. These results should be validated in other cohorts, and the clinical utility needs to be explored on the basis of periodontal treatment outcomes and/or disease progression.
- go to publisher's site
- Other links
- Link to publication in Scopus
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.