Salivary Counts of Mutans Streptococci and Lactobacilli and Past Caries Experience in Caries Prediction

Alaluusua, Satu

doi:10.1159/000261606

Cited by 34 publications

(29 citation statements)

References 11 publications

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“…The caries-predictive power of the mutans test among juvenile populations from Western countries with low caries incidence is under discussion [Alaluusua, 1993;Dodds and Suddick, 1995]. Even though the test is a strong caries predictor [Powell, 1998], studies on children with a low baseline caries experience have given sensitivity values lower than 50% [see, for example, Schröder et al, 1994;Grindefjord et al, 1995].…”

Section: Multiple Salivary Ms Testmentioning

confidence: 99%

Caries Prediction by Multiple Salivary Mutans Streptococcal Counts in Caries–Free Children with Different Levels of Fluoride Exposure, Oral Hygiene and Sucrose Intake

Petti

Hausen

2000

Caries Res

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The aims of this study were to assess whether multiple salivary mutans streptococcal (ms) counts have a higher predictive power than a single one, and whether the predictive power of the test is different at different levels of fluoride exposure, oral hygiene and sucrose consumption. Three salivary ms tests were performed at 3–month intervals (positive test: salivary ms ≥5×10⁵ cfu/ ml) on a sample of 304, initially caries–free, 6– to 7–year–olds. Plaque index was also assessed and the parents filled out a questionnaire concerning sucrose–containing eating events and fluoride exposure. Sensitivity, specificity and Youden's index (J) were used to compare the predictive power. Thirty–six percent of the children developed caries during the 2–year follow–up. The highest J value for a single ms test (the second) was 0.24 (sensitivity 29.1%, specificity 95.4%). The multiple ms test with the highest J value (0.29) was obtained by the dichotomies 0 vs. 1–3 positive tests (sensitivity 50.0%, specificity 79.9%) and 0–1 vs. 2–3 positive tests (sensitivity 31.8%, specificity 97.4%). The predictive power of the multiple test was passable for children with low fluoride exposure and high plaque index (sensitivity 57.4%, specificity 93.7%, J 0.51), while it was low for the other groups. Sucrose exposure did not significantly affect the predictive power of the ms test.sion.

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Section: Multiple Salivary Ms Testmentioning

confidence: 99%

Caries Prediction by Multiple Salivary Mutans Streptococcal Counts in Caries–Free Children with Different Levels of Fluoride Exposure, Oral Hygiene and Sucrose Intake

Petti

Hausen

2000

Caries Res

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“…Studies on caries risk assessment have shown that past caries experience variables compared to other variables had a relatively strong association with caries increment and that caries experience was the best predictor of caries increment in children with a mixed dentition [Klock and Krasse, 1979;Honkala et al, 1984;Wilson and Ashley, 1989;Alaluusua et al, 1990;Russell et al, 1991;Disney et al, 1992;Alaluusua, 1993;Mattiasson-Robertson and Twetman, 1993;Raitio et al, 1996]. A recent study, which used the area under the ROC curve as a method to compare the prognostic accuracy of various predictors, has reported no appreciable effect when additional predictors such as mutans streptococci and lactobacilli counts, salivary flow rate, sucrose intake frequency, brushing frequency and social group were applied in combination with past caries experience [Hausen, 1997].…”

mentioning

confidence: 99%

Prognosis of Caries Increment with Past Caries Experience Variables

Helderman¹,

Hof

Loveren

2001

Caries Res

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This study aimed to select past caries experience variables as caries predictors and to compare their prognostic accuracy with the variables used in a method of caries prognosis developed in a Swiss child population. The data used for the analyses originated from an 8–year longitudinal study starting in 1980 on caries of 7.5–year–old Dutch children. Stepwise logistic regression analyses provided predictor variables. The newly introduced variables D₂₃fi, D₁₂₃fi and D₂₃pifi were interchangeable and the most powerful caries predictors. For the sake of uniformity and ease of application, D₂₃fi (number of fissures of the permanent first molar with non–cavitated or cavitated caries lesions) was chosen as the first variable in the logistic regression equations. The gain in accuracy of the second and third predictor variables (number of sound primary molars and the number of buccal and lingual smooth surfaces of the permanent first molar with non–cavitated or cavitated caries) in the regression equations was limited. The D₁ condition of surfaces could be omitted from the prediction models. The present forced three–predictor–regression equations for 7.5–, 9.5– and 11.5–year–old children were evaluated to assess their prognostic performance by using the area under the ROC curve as a measure of prognostic quality. For the present regression equations, the area under the ROC curve was 81–87%, which was higher compared to the Swiss regression equations for caries prognosis.

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“…The detection of caries lesions allows an evaluation of the presence of disease activity and also of its past history, which has been quoted as the most important factor in caries risk prediction. 16,17 The present survey indirectly evaluated the ability of 151 dentists who work in three cities of southern Brazil to identify non-cavitated lesions properly. Among the professionals with more work experience -those who graduated between 1960 and 1975 -only 11 (23.9%) answered that they usually remove dental plaque before performing diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Assessment of the frequency of routine removal of dental plaque prior to caries diagnosis by dentists in three cities in southern Brazil

et al. 2009

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Salivary Counts of Mutans Streptococci and Lactobacilli and Past Caries Experience in Caries Prediction

Cited by 34 publications

References 11 publications

Caries Prediction by Multiple Salivary Mutans Streptococcal Counts in Caries–Free Children with Different Levels of Fluoride Exposure, Oral Hygiene and Sucrose Intake

Caries Prediction by Multiple Salivary Mutans Streptococcal Counts in Caries–Free Children with Different Levels of Fluoride Exposure, Oral Hygiene and Sucrose Intake

Prognosis of Caries Increment with Past Caries Experience Variables

Assessment of the frequency of routine removal of dental plaque prior to caries diagnosis by dentists in three cities in southern Brazil

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