J Periodontal Implant Sci.  2016 Feb;46(1):10-21. 10.5051/jpis.2016.46.1.10.

Diagnostic accuracy of a combination of salivary hemoglobin levels, self-report questionnaires, and age in periodontitis screening

• Maeng YJ
• Kim BR
• Jung HI
• Jung UW
• Kim HE
• Kim BI

• KMID: 2391726
• DOI: http://doi.org/10.5051/jpis.2016.46.1.10

Abstract

PURPOSE
This study evaluated the predictive performance of a combination of self-report questionnaires, salivary hemoglobin levels, and age as a non-invasive screening method for periodontitis.
METHODS
The periodontitis status of 202 adults was examined using salivary hemoglobin levels, responses to 10 questions on a self-report questionnaire, and the Community Periodontal Index (CPI). The ability of those two variables and the combination thereof with age to predict the presence of CPI scores of 3-4 and 4 was assessed using logistic regression and receiver operating characteristic (ROC) curve analysis.
RESULTS
CPI scores of 3-4 and 4 were present among 79.7% and 46.5% of the sample, respectively. The area under the ROC curves (AUROCs) of salivary hemoglobin levels for predicting prevalence of CPI scores of 3-4 and 4 were 0.63 and 0.67, respectively (with sensitivity values of 71% and 60% and specificity values of 56% and 72%, respectively). Two distinct sets of five questions were associated with CPI scores of 3-4 and 4, with AUROCs of 0.73 and 0.71, sensitivity values of 76% and 66%, and specificity values of 63% and 69%. The combined model incorporating both variables and age showed the best predictive performance, with AUROCs of 0.78 and 0.76, sensitivity values of 71% and 65%, and specificity values of 68% and 77% for CPI scores of 3-4 and 4, respectively.
CONCLUSIONS
The combination of salivary hemoglobin levels and self-report questionnaires was shown to be a valuable screening method for detecting periodontitis.

Keyword

Community periodontal index; Hemoglobins; Periodontal diseases; Saliva; Self report

MeSH Terms

Adult
Humans
Logistic Models
Mass Screening*
Periodontal Diseases
Periodontal Index
Periodontitis*
Prevalence
ROC Curve
Saliva
Self Report
Sensitivity and Specificity

Figure

• 

  Figure 1 ROC curves for the prediction of periodontitis prevalence as diagnosed by CPI 3-4 (a) and CPI 4 (b). The curves of Model 1, 2, and 3 were constructed using data obtained from salivary hemoglobin levels, the selected questions, and combination of the above two data sets and age. The curves of Model 3 showed the best performance in identifying both patients who were diagnosed as CPI 3-4 (AUROC of 0.78, a) and CPI 4 (AUROC of 0.76, b). ROC, receiver operating characteristics; CPI, community periodontal index.

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