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Microbiological predictors of caries risk
1Forsyth Dental Center, Department of Oral Microbiology, Boston, Massachusetts 02115.
Advances in Dental Research
|August 1, 1993
Summary
Predicting dental caries risk using lactobacilli (L) and mutans streptococci (MS) counts shows promise for groups, not individuals. Microbiological tests are more reliable for identifying low-risk populations than high-risk ones.
Area of Science:
- Oral microbiology
- Dental public health
- Diagnostic test evaluation
Background:
- Dental caries prediction remains a significant challenge in oral health.
- Current diagnostic tests for caries risk are limited in their acceptance and application.
- Focus has shifted towards microbiological markers like lactobacilli (L) and mutans streptococci (MS).
Purpose of the Study:
- To evaluate the effectiveness of L and MS counts as predictors of dental caries risk.
- To assess the potential of these bacterial counts as indicators of carbohydrate consumption.
- To explore factors influencing the accuracy and application of microbiological caries risk prediction.
Main Methods:
- Review of studies assessing sensitivity, specificity, and predictive values of L and MS counts.
- Analysis of various influencing factors: caries increment, age, evaluation methods, sample type (saliva/plaque), sampling frequency, growth media, and simplified enumeration techniques.
- Consideration of multivariate approaches combining microbiological data with clinical and salivary factors.
Main Results:
- L and MS counts are not reliable for predicting individual caries risk.
- Prediction of caries risk for groups, particularly identifying low-risk populations, shows more promise.
- Test results are influenced by numerous variables including sample type, enumeration methods, and caries experience.
Conclusions:
- Microbiological predictors like L and MS counts have limitations for individual caries risk assessment.
- Group-level risk prediction and identification of low-risk subjects are more feasible.
- Multivariate approaches integrating microbiological, clinical, and salivary factors are recommended for improved caries risk prediction.