Diagnostic accuracy of a combination of salivary hemoglobin levels, selfreport questionnaires, and age in periodontitis screening
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
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.
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.
참고문헌 (31)
- Petersen PE, "The World Oral Health Report 2003 : continuous improvement of oral health in the 21st century--the approach of the WHO Global Oral Health Programme", Community Dent Oral Epidemiol, 31(Suppl 1), pp.3~23 (2003)
- N. J. Kassebaum, "Global Burden of Severe Periodontitis in 1990-2010: A Systematic Review and Meta-regression", Journal of Dental Research, 93(11), pp.1045~1053 (2014), SAGE Publications[DOI]
- Henrik Jansson, "Impact of Periodontal Disease Experience on Oral Health–Related Quality of Life", Journal of Periodontology, 85(3), pp.438~445 (2014), American Academy of Periodontology (AAP)[DOI]
- Nam SH, "Validity of screening methods for periodontitis using salivary hemoglobin level and self-report questionnaires in people with disabilities", J Periodontol, 86, pp.536~545 (2015)
- Armitage GC, "Diagnosis of periodontal diseases", J Periodontol, 74, pp.1237~1247 (2003)
- World Health Organization, "Oral health surveys: basic methods" (1997), World Health Organization
- Page RC, "Case definitions for use in population-based surveillance of periodontitis", J Periodontol, 78(Suppl), pp.1387~1399 (2007)
- Eke PI, "CDC Periodontal Disease Surveillance Project: background, objectives, and progress report", J Periodontol, 78(Suppl), pp.1366~1371 (2007)
- Eke PI, "Self-reported measures for surveillance of periodontitis", J Dent Res, 92, pp.1041~1047 (2013)
- Taylor GW, "Self-reported periodontal disease: validation in an epidemiological survey", J Periodontol, 78(Suppl), pp.1407~1420 (2007)
- Miller CS, "Salivary biomarkers of existing periodontal disease: a cross-sectional study", J Am Dent Assoc, 137, pp.322~329 (2006)
- Gursoy UK, "Salivary MMP-8, TIMP-1, and ICTP as markers of advanced periodontitis", J Clin Periodontol, 37, pp.487~493 (2010)
- Polson AM, "Current status of bleeding in the diagnosis of periodontal diseases", J Periodontol, 56(Suppl), pp.1~3 (1985)
- Ramseier CA, "Identification of pathogen and host-response markers correlated with periodontal disease", J Periodontol, 80, pp.436~446 (2009)
- Eke PI, "Assessment of self-report measures for predicting population prevalence of periodontitis", J Periodontol, 80, pp.1371~1379 (2009)
- Slade GD, "Interim analysis of validity of periodontitis screening questions in the Australian population", J Periodontol, 78(Suppl), pp.1463~1470 (2007)
- Christensen GJ, "Special oral hygiene and preventive care for special needs", J Am Dent Assoc, 136, pp.1141~1143 (2005)
- Morgan JP, "The oral health status of 4,732 adults with intellectual and developmental disabilities", J Am Dent Assoc, 143, pp.838~846 (2012)
- Anders PL, "Oral health of patients with intellectual disabilities: a systematic review", Spec Care Dentist, 30, pp.110~117 (2010)
- de Jongh A, "Oral health status, treatment needs, and obstacles to dental care among noninstitutionalized children with severe mental disabilities in The Netherlands", Spec Care Dentist, 28, pp.111~115 (2008)
- Flahault A, "Sample size calculation should be performed for design accuracy in diagnostic test studies", J Clin Epidemiol, 58, pp.859~862 (2005)
- Kopczyk RA, "The feasibility and reliability of using a home screening test to detect gingival inflammation", J Periodontol, 66, pp.52~54 (1995)
- Nomura Y, "Screening for periodontal diseases using salivary lactate dehydrogenase, hemoglobin level, and statistical modeling", J Dent Sci, 7, pp.379~383 (2012)
- Greenstein G, "Understanding diagnostic testing for periodontal diseases", J Periodontol, 66, pp.659~666 (1995)
- Blicher B, "Validation of self-reported periodontal disease: a systematic review", J Dent Res, 84, pp.881~890 (2005)
- Gilbert AD, "Self-reporting of periodontal health status", Br Dent J, 186, pp.241~244 (1999)
- Gilbert GH, "Validity of self-reported periodontal status in the Florida dental care study", J Periodontol, 78(Suppl), pp.1429~1438 (2007)
- Kibayashi M, "Longitudinal study of the association between smoking as a periodontitis risk and salivary biomarkers related to periodontitis", J Periodontol, 78, pp.859~867 (2007)
- Tomar SL, "Smoking-attributable periodontitis in the United States: findings from NHANES III", J Periodontol, 71, pp.743~751 (2000)
- Han DH, "The association of smoking and diabetes with periodontitis in a Korean population", J Periodontol, 83, pp.1397~1406 (2012)
- Dye BA, "Global periodontal disease epidemiology", Periodontol 2000, 58, pp.10~25 (2012)