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Modeling the relationship between clinical, microbiologic, and immunologic parameters and alveolar bone levels in an
T T Wheeler1, W P McArthur, I Magnusson
1Department of Orthodontics, College of Dentistry, Claude D. Pepper Center for Research on Oral Health in Aging, University of Florida, Gainesville.
Journal of Periodontology
|January 1, 1994
Summary
In elderly individuals, tooth mobility and antibodies to subgingival plaque bacteria are key predictors of periodontal bone loss. Combining clinical, microbiological, and immunological factors best explains alveolar bone loss in this age group.
Area of Science:
- Periodontology
- Immunology
- Microbiology
Background:
- Periodontal disease, a common condition in older adults, can lead to alveolar bone loss.
- Understanding the multifactorial nature of bone loss is crucial for effective prevention and treatment strategies.
Purpose of the Study:
- To identify clinical, microbiological, and immunological factors associated with periodontal bone loss in elderly subjects.
- To develop a predictive model for alveolar bone loss using a combination of these factors.
Main Methods:
- A cross-sectional study involving 74 subjects aged 65-75 years.
- Collection of clinical, microbiological, and immunological data.
- Step-wise multiple regression analysis to model factors related to bone loss.
Main Results:
- Clinical factors (tooth mobility, probing depth, plaque index) explained 32% of bone loss variability.
- Microbiological data (E. corrodens, Prevotella intermedia) increased explained variability to 33%.
- Immunological data (IgG antibodies to P. gingivalis, A. actinomycetemcomitans) significantly improved prediction, reaching 50% variability explained.
- A comprehensive model including clinical, microbiological, and immunological data explained 75% of alveolar bone loss variability, with antibodies to P. gingivalis and tooth mobility being the strongest predictors.
Conclusions:
- Antibody levels to subgingival plaque microorganisms and tooth mobility are the most significant predictors of periodontal bone loss in the elderly.
- A multifactorial approach integrating clinical, microbiological, and immunological data provides a robust model for understanding and predicting bone loss.