INDIVIDUAL CARIES RISK ASSESSMENT USING "RIESGOGRAMA"
DOI:
https://doi.org/10.15332/us.v8i2.1169Keywords:
Dental caries, Risk, Cariogram, Dental plagueAbstract
Objective: To establish caries risk through "RIESGOGRAMA" among Colombians and evaluate existing differences between states.
Methods: A local adaptation of the CARIOGRAM® software was developed considering caries morbidity in Colombia. Using Riesgograma, multiple risk factors were evaluated in 7 states in the country (caries experience, dental plague, local systemic factors for plague retention, flúoride access, daily frequency of intake and timing and reason for last dental visit). Frequency distributions and means were generated using SAS 9.1. Sensitivity and specificity were measured using as comparison CRT Buffer and CRT Bacteria Vivadent®.
Results: A total of 4,942 forms were collected in 7 states of the country. Regarding dental caries, around 62% of the sample had a DMF-T >1, and the largest states had the lowest proportion of population with a DMT-T = 0. Almost 82% reported using toothpaste with fluoride, while 61% reported having no access to dental services non-emergency related. When caries risk was assessed 11% of the population was classified as high risk, and 25% fell into the medium risk group. Sensitivity of Riesgograma was 75%.
Conclusion: Caries individual risk assessment is an important health indicator and it must be evaluated in a comprehensive way to asses the risk that each person has to develop new caries lesions.
Downloads
References
Kornman KS. Diagnostic and prognostic tests for oral diseases: practical applications. J Dent Educ 2005; 69: 498-508.
Halbrook WP, de Soet JJ, de Graaff J. Prediction of dental caries in pres-school children. Caries Res 1993; 27: 424 – 430.
Petersen PE, Bourgeois D, Ogawa H, et al. The Global Burden of Oral Disease and Risk to Oral Health. Bulletin of the World Health Organization. September 2005, 83(9).
Nishikawara F, Katsumura S, Ando A, Tamaki Y, Nakamura Y, Sato K et al. Correlation of cariogenic bacteria and dental caries in adults. N J Oral Sci 2006; 48: 245 – 251.
Ministerio de Salud. República de Colombia, Centro Nacional de Consultoría CNC. Estudio Nacional de Salud Bucal (ENSAB-III) Tomo VII. Bogotá, Colombia. 1999.
Johnson MF. The role of the risk factors in the identification of appropriate subjects of caries clinical trials: design considerations. J Dent Res 2004; 83: 116 – 118.
Douglass CW. Risk assessment in dentistry. J Dent Educ 1998; 62: 756 – 761.
Bratthall D, Hänsel Petersson G, Stjernswärd JR, Cariogram, Internet Version [en línea] 2.01., 2004. URL disponible en http://www.scudent.com/science/operative/cariogmanual201net.pdf.
Reich E, Lussi A, Newbrun E. Caries-risk assessment. Int Dent J 1999; 49: 15 – 26.
Axelsson P, Lindhe H, Nyström B. On the prevention of caries and periodontal disease. Results of 15-year-longitudinal study in adults. J Clin Periodontol 1991; 18: 182 – 189.
Locker D, Slade GD, Leake JL. Prevalence of and factors associated with root decay in older adults in Canada. J Dent Res 1989; 68: 768 – 772.
Seppä L, Hausen H, Pöllänen L, Helasharju K, Kärkkäinen S. Past caries recording made in public dental clinics as predictors of caries experience in early adolescence. Community Dent Oral Epidemiol 1989; 17: 227 – 281.
Scheinin A, Pienihäkkinen K, Tiekso J, Holmberg S. Multifactorial modeling for root caries prediction. Community Dent Oral Epidemiol 1992; 20: 64 – 75.
Disney JA, Graves RC, Stamm JW, Bohannan HM, Abernathy JR, Zack DD. The University of North Carolina Caries Risk Assessment Study: further developments in caries risk prediction. Community Dent Oral Epidemiol 1992; 20: 64 – 75.
Burt B, Eklund S. Dentistry, Dental Practice and the Community. 5th Edition. Philadelphia. Ed: W.B. Saunders Company; 1999
