Publicado Jun 30, 2013



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Luis Fernando Gamboa

Andrea Cortés

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Resumen

La caries dental es un desequilibrio entre la biopelícula y la superficie dental. Múltiples factores de riesgo asociados a la caries dental contribuyen a la manifestación clínica de la enfermedad. Para predecir el desarrollo de la enfermedad se han propuesto diferentes sistemas de valoración de riesgo de caries, los cuales tienen como objetivo identificar y clasificar el riesgo de los pacientes. Los sistemas de valoración de riesgo de caries, que evalúan entre ocho y dieciocho factores de riesgo, incluyen: Cariogram®, Cambra, la Academia Americana de Odontología Pediátrica, la Asociación Americana de Odontología y la Asociación Dental Americana. Así mismo, se han desarrollado modelos de predicción de riesgo que toman como base los análisis de regresión logística multivariados. Estos modelos evalúan muy pocos factores de riesgo y cumplen con las condiciones básicas de un sistema de predicción: sencillo, preciso, rápido y económico. En este trabajo se examina si mediante el uso de los sistemas y modelos actualmente disponibles para valoración del riesgo de caries dental se puede identificar con suficiente precisión la susceptibilidad individual de presentar futuras lesiones de caries dental. En conclusión, se debe seguir o crear un modelo de predicción de caries válido y preciso que permita de una forma simple, rápida y económica valorar nuestra población de bajo o alto riesgo y darle el tratamiento adecuado para manejar y controlar la caries dental.

 

Dental caries is an imbalance between the biofilm and the tooth surface. Evidence indicates that multiple risk factors contribute to the clinical appearance of dental caries. Consequently, different systems for caries risk assessment (CRA) have been developed to predict the development of the disease, identifying and classifying the individual caries risk for each patient. Some of the CRA systems are Cariogram®, Cambra, the American Academy of Pediatric Dentistry, and American Dental Association, which in general evaluate between 8 and 18 risk factors. Likewise, risk prediction models (RPM) have been developed based on multivariate logistic regression analysis. These models evaluate fewer risk factors than CRA; however, RPM are simple, accurate, fast and economical. This paper examines the accuracy of available CRA and RPM for assessing the risk of dental caries in Colombian population. As conclusion, we must follow or create a predictive model of caries valid and accurate, allowing for a simple, fast and economical value our people and give proper treatment to manage and control dental caries, as low or high risk.

Keywords
References
1. Fletcher F. Clinical epidemiology: the essentials. 4th ed. Baltimore: Lippincott Williams & Wilkins; 2005.
2. Ruiz M. Epidemiología clínica: investigación clínica aplicada. Bogotá: Panamericana; 2004.
3. Burt BA. Concepts of risk in dental public health. Community Dent Oral Epidemiol. 2005; 33(4): 240-7.
4. Beck JD, Weintraub JA, Disney JA, Graves RC, Stamm JW, Kaste LM, et al. University of North Carolina Caries Risk Assessment Study: comparisons of high risk prediction, any risk prediction, and any risk etiologic models. Community Dent Oral Epidemiol. 1992; 20(6): 313-21.
5. Zero D, Fontana M, Lennon AM. Clinical applications and outcomes of using indicators of risk in caries management. J Dent Educ. 2001; 65(10): 1126-32.
6. Fontana M, Young DA, Wolff MS, Pitts NB, Longbottom C. Defining dental caries for 2010 and beyond. Dental Clin North Am. 2010; 54(3): 423-40.
7. Harris R, Nicoll AD, Adair PM, Pine CM. Risk factors for dental caries in young children: a systematic review of the literature. Community Dental Health. 2004; 21(1 Suppl): 71-85.
8. Domejean S, White JM, Featherstone JD. Validation of the CDA CAMBRA caries risk assessment--a six-year retrospective study. J California dent Assoc. 2011; 39(10): 709-15.
9. Thylstrup A. Textbook of clinical cariology. Copenhagen: Munksgaard; 1994.
10. Reich E, Lussi A, Newbrun E. Caries-risk assessment. Int Dent J. 1999; 49(1): 15-26.
11. American Academy on Pediatric Dentistry Council on Clinical A. Policy on use of a caries-risk assessment tool (CAT) for infants, children, and adolescents. Pediatr Dent. 2008; 30(7 Suppl): 29-33.
12. Ito A, Hayashi M, Hamasaki T, Ebisu S. Risk assessment of dental caries by using classification and regression trees. J Dent. 2011; 39(6): 457-63.
13. Mohan A, Morse DE, O'Sullivan DM, Tinanoff N. The relationship between bottle usage/content, age, and number of teeth with mutans streptococci colonization in 6-24-month-old children. Community Dent Oral Epidemiol. 1998; 26(1): 12-20.
14. The Swedish Council on Technology Assessment in Health Care. Caries-diagnosis, risk assessment and non-invasive treatment: A systematic review. Summary and conclusions. Report No. 188. Stockholm: SCTAHC; 2008.
15. Dos Santos MT, Masiero D, Simionato MR. Risk factors for dental caries in children with cerebral palsy. Spec Care Dentist. 2002; 22(3): 103-7.
16. Sanchez-Perez L, Golubov J, Irigoyen-Camacho ME, Moctezuma PA, Acosta-Gio E. Clinical, salivary, and bacterial markers for caries risk assessment in schoolchildren: a 4-year follow-up. Int J Paediatr Dent. 2009; 19(3): 186-92.
17. Hansel Petersson G, Twetman S, Bratthall D. Evaluation of a computer program for caries risk assessment in schoolchildren. Caries Res. 2002; 36(5): 327-40.
18. Al Ghanim NA, Adenubi JO, Wyne AA, Khan NB. Caries prediction model in pre-school children in Riyadh, Saudi Arabia. Int J Paediatr Dent. 1998; 8(2): 115-22.
19. Wan AK, Seow WK, Purdie DM, Bird PS, Walsh LJ, Tudehope DI. A longitudinal study of Streptococcus mutans colonization in infants after tooth eruption. J Dent Res. 2003; 82(7): 504-8.
20. Parhar G, Yoon RK, Chussid S. Maternal-child oral health behaviors and caries experience in the child. J Clin Pediatr Dent. 2009; 34(2): 135-9.
21. Ewoldsen N, Koka S. There are no clearly superior methods for diagnosing, predicting, and noninvasively treating dental caries. J Evid Based Dent Pract. 2010; 10(1): 16-7.
22. Fontana M, Young DA, Wolff MS. Evidence-based caries, risk assessment, and treatment. Dent Clin North Am. 2009; 53(1): 149-61.
23. Anusavice KJ. Present and future approaches for the control of caries. J Dent Educ. 2005; 69(5): 538-54.
24. Fontana M, Jackson R, Eckert G, Swigonski N, Chin J, Zandona AF, et al. Identification of caries risk factors in toddlers. J Dent Res. 2011; 90(2): 209-14.
25. Zukanovic A, Kobaslija S, Ganibegovic M. Caries risk assessment in Bosnian children using Cariogram computer model. Int Dent J. 2007; 57(3): 177-83.
26. Habibian M, Roberts G, Lawson M, Stevenson R, Harris S. Dietary habits and dental health over the first 18 months of life. Community Dent Oral Epidemiol. 2001; 29(4): 239-46.
27. Tayanin GL, Petersson GH, Bratthall D. Caries risk profiles of 12-13-year-old children in Laos and Sweden. Oral Health Prev Dent. 2005; 3(1): 15-23.
28. Gao XL, Hsu CY, Xu Y, Hwarng HB, Loh T, Koh D. Building caries risk assessment models for children. J Dent Res. 2010; 89(6): 637-43.
29. Tranaeus S, Shi XQ, Angmar-Mansson B. Caries risk assessment: methods available to clinicians for caries detection. Community Dent Oral Epidemiol. 2005; 33(4): 265-73.
30. Sanpei S, Endo T, Shimooka S. Caries risk factors in children under treatment with sectional brackets. Angle Orthod. 2010; 80(3): 509-14.
31. Bratthall D, Hansel Petersson G. Cariogram--a multifactorial risk assessment model for a multifactorial disease. Community Dent Oral Epidemiol. 2005; 33(4): 256-64.
32. Petersson GH. Assessing caries risk--using the Cariogram model. Swed Dent J. 2003(158): 1-65.
33. Hansel Petersson G, Fure S, Bratthall D. Evaluation of a computer-based caries risk assessment program in an elderly group of individuals. Acta Odontol Scand. 2003; 61(3): 164-71.
34. Holgerson PL, Twetman S, Stecksen-Blicks C. Validation of an age-modified caries risk assessment program (Cariogram) in preschool children. Acta Odontol Scand. 2009; 67(2): 106-12.
35. Young DA, Featherstone JD. Implementing caries risk assessment and clinical interventions. Dent Clin North Am. 2010; 54(3): 495-505.
36. Teich ST, Aizenbud D, Gutmacher Z. Guiding the practitioner through the caries management by risk assessment (CAMBRA) protocol. Alpha Omegan. 2011; 104(3-4): 68-72.
37. American Dental Association. Caries risk assessment forms [internet]. 2012 [cited 2012 Nov 12]. Available from: http://www.ada.org/sections/professionalResources/pdfs/topics_caries_instructions.pdf.
38. Ramos-Gomez FJ, Crall J, Gansky SA, Slayton RL, Featherstone JD. Caries risk assessment appropriate for the age 1 visit (infants and toddlers). J Cal Dent Assoc. 2007; 35(10): 687-702.
39. Ramos-Gomez F, Crystal YO, Ng MW, Tinanoff N, Featherstone JD. Caries risk assessment, prevention, and management in pediatric dental care. Gen Dent. 2010; 58(6): 505-17.
40. Vallejos-Sanchez AA, Medina-Solis CE, Casanova-Rosado JF, Maupome G, Minaya-Sanchez M, Perez-Olivares S. Caries increment in the permanent dentition of Mexican children in relation to prior caries experience on permanent and primary dentitions. J Dent. 2006; 34(9): 709-15.
41. Vanobbergen J, Martens L, Lesaffre E, Bogaerts K, Declerck D. The value of a baseline caries risk assessment model in the primary dentition for the prediction of caries incidence in the permanent dentition. Caries Res. 2001; 35(6): 442-50.
42. Petersson GH, Ericson E, Isberg PE, Twetman S. Caries risk assessment in young adults using Public Dental Service guidelines and the Cariogram: a comparative study. Acta Odontol Scand. 2013 May-Jul; 71(3-4): 534-40.
43. Petersson GH, Isberg PE, Twetman S. Caries risk assessment in school children using a reduced Cariogram model without saliva tests. BMC Oral Health. 2010; 10: 5.
44. Vanobbergen J, Martens L, Lesaffre E, Bogaerts K, Declerck D. Assessing risk indicators for dental caries in the primary dentition. Community Dent Oral Epidemiol. 2001; 29(6): 424-34.
45. Tellez M, Gomez J, Pretty I, Ellwood R, Ismail A. Evidence on existing caries risk assessment systems: are they predictive of future caries? Community Dent Oral Epidemiol. 2012 Sep 15; 41(1): 67-78. doi: 10.1111/cdoe.12003.
46. Kleinbaum. Logistic regression: a self-learning text. New York: Springer-Verlag; 1994.
47. Stamm JW, Stewart PW, Bohannan HM, Disney JA, Graves RC, Abernathy JR. Risk assessment for oral diseases. Adv Dent Res. 1991; 5: 4-17.
48. Fontana M, Santiago E, Eckert GJ, Ferreira-Zandona AG. Risk factors of caries progression in a Hispanic school-aged population. J Dent Res. 2011; 90(10): 1189-96.
49. Afonso N. Women at high risk for breast cancer--what the primary care provider needs to know. J Am Board Family Med. 2009; 22(1): 43-50.
Cómo citar
Gamboa, L. F., & Cortés, A. (2013). Valoración del riesgo de caries: ¿mito o realidad? / Dental Caries Risk Assessment: Myth or Reality?. Universitas Odontologica, 32(68), 69-79. Recuperado a partir de https://revistas.javeriana.edu.co/index.php/revUnivOdontologica/article/view/SICI%3A%202027-3444%28201301%2932%3A68%3C69%3AVCRMOR%3E2.0.CO%3B2-W
Sección
Dossier Temático

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