Carigram和Oratest在学龄儿童龋齿风险评估中的应用

W. Elkwatehy, Rabab I Salama
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The p-values ≤ 0.05 was considered statistically significant. Results: There were statistically significant differences for all risk factors and Oratest scores between low and high caries risk individuals classified by Cariogram. A highly significant positive correlation between the green sector of Cariogram (chance of avoiding development of caries in future) and Oratest scores, highly significant negative correlations between both Cariogram and Oratest and dental caries status were found. Children with Oratest time less than 64.43 minutes are at high caries risk. Conclusion: The present study indicated that Oratest has a definite clinical relationship with the green sector of Cariogram of each individual and can be used as a separate test for predicting caries susceptibility. Wahdan M. Elkwatehy1* and Rabab I Salama2 1Lecturer of Dental Public Health, Faculty of dentistry, Mansoura University, Egypt 2Assistant professor of Dental Public Health, Faculty of dentistry, Mansoura University, Egypt *Address for Correspondence Wahdan M. Elkwatehy, Faculty of Dentistry, Department of Public Health and Preventive Dentistry, Mansoura University, Egypt, Tel: 00201000993389; E-mail: wahdanelkwatehy@yahoo.com Submission: 19 April, 2018 Accepted: 21 May, 2018 Published: 31 May, 2018 Copyright: © 2018 Elkwatehy WM, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Research Article Open Access Journal of Oral Biology Introduction Dental caries has a multi factorial etiology, host including saliva and teeth, the microflora or biofilm, the substrate as diet and time. The modifiable risk factors can be modified and amenable to intervention. Whereas, the non-modifiable risk factors are quite challenging to health care professionals [1]. Understanding caries etiology and its progression is very important for planning preventive programs for dental caries and this has been made easy with concomitant advances in science and technology [2,3]. Dental caries risk model is used when it is important to identify one or more risk factors for the disease so that likely points for intervention can be planned. A prediction model, on the contrary, is used when one is mainly interested in identifying who is at high risk. The main goal is to maximize sensitivity and specificity of the prediction, so that any good predictor may be included in the model. A challenge for the biological factor approach is to correctly summarize the complex picture of the various inter-related caries risk factors, so that it can easily be used by the dental professional routinely in the dental clinics [4,5]. The concept of prediction of human dental caries risk has existed for many years, particularly, during the past twenty years where the Avens Publishing Group Inviting Innovations J Oral Biol May 2018 Volume 5 Issue 1 © All rights are reserved by Elkwatehy, et al. Avens Publishing Group Inviting Innovations interest in this issue has been increased. This appears to reflect recent advances in the knowledge of the etiology of dental caries, thus the caries prediction will be more accurate and depend on certain specific risk factors or their combinations. The desire to prevent rather than to treat dental caries should be take the priority of dental health care workers but at the same time the increasing need of cost should be understood and put in their consideration [6,7]. The Oratest is a potential whole mouth diagnostic test to measure microbial load in intraoral diseases of epidemiological importance like periodontal disease and caries. It can be used as a simple, inexpensive and rapid technique for assessing caries activity since a significant relationship exists clinically with caries status and microbiologically with the streptococcus mutans count of the individual [8,9]. It has been hypothesized that Oratest is based on the rate of oxygen depletion by micro-organisms. Under aerobic conditions the bacterial enzyme; aerobic dehydrogenase transfers electrons or protons to oxygen. Once oxygen gets utilized by the aerobic organisms and an anaerobic environment is attained, methylene blue (redox indicator) acts as an electron acceptor and gets reduced to leukomethylene blue. The metabolic activity of the aerobic microorganism is reflected by the reduction of methylene blue to leukomethylene blue [10]. Caries risk assessment has moved from depend on individual risk factor to an approach in which all risk factors are weighted based on the putative role they play in the etiology of the dental disease [11,12]. Among the caries risk prediction models available is the cariogram which graphically determine the chance of an individual avoiding caries in the near future [13,14]. Many studies indicated that, Cariogram was more accurate in predicting caries than any single factor and had shown promising results in predicting caries in children [15,16]. 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Results: There were statistically significant differences for all risk factors and Oratest scores between low and high caries risk individuals classified by Cariogram. A highly significant positive correlation between the green sector of Cariogram (chance of avoiding development of caries in future) and Oratest scores, highly significant negative correlations between both Cariogram and Oratest and dental caries status were found. Children with Oratest time less than 64.43 minutes are at high caries risk. Conclusion: The present study indicated that Oratest has a definite clinical relationship with the green sector of Cariogram of each individual and can be used as a separate test for predicting caries susceptibility. Wahdan M. Elkwatehy1* and Rabab I Salama2 1Lecturer of Dental Public Health, Faculty of dentistry, Mansoura University, Egypt 2Assistant professor of Dental Public Health, Faculty of dentistry, Mansoura University, Egypt *Address for Correspondence Wahdan M. Elkwatehy, Faculty of Dentistry, Department of Public Health and Preventive Dentistry, Mansoura University, Egypt, Tel: 00201000993389; E-mail: wahdanelkwatehy@yahoo.com Submission: 19 April, 2018 Accepted: 21 May, 2018 Published: 31 May, 2018 Copyright: © 2018 Elkwatehy WM, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Research Article Open Access Journal of Oral Biology Introduction Dental caries has a multi factorial etiology, host including saliva and teeth, the microflora or biofilm, the substrate as diet and time. The modifiable risk factors can be modified and amenable to intervention. Whereas, the non-modifiable risk factors are quite challenging to health care professionals [1]. Understanding caries etiology and its progression is very important for planning preventive programs for dental caries and this has been made easy with concomitant advances in science and technology [2,3]. Dental caries risk model is used when it is important to identify one or more risk factors for the disease so that likely points for intervention can be planned. A prediction model, on the contrary, is used when one is mainly interested in identifying who is at high risk. The main goal is to maximize sensitivity and specificity of the prediction, so that any good predictor may be included in the model. A challenge for the biological factor approach is to correctly summarize the complex picture of the various inter-related caries risk factors, so that it can easily be used by the dental professional routinely in the dental clinics [4,5]. The concept of prediction of human dental caries risk has existed for many years, particularly, during the past twenty years where the Avens Publishing Group Inviting Innovations J Oral Biol May 2018 Volume 5 Issue 1 © All rights are reserved by Elkwatehy, et al. Avens Publishing Group Inviting Innovations interest in this issue has been increased. This appears to reflect recent advances in the knowledge of the etiology of dental caries, thus the caries prediction will be more accurate and depend on certain specific risk factors or their combinations. The desire to prevent rather than to treat dental caries should be take the priority of dental health care workers but at the same time the increasing need of cost should be understood and put in their consideration [6,7]. The Oratest is a potential whole mouth diagnostic test to measure microbial load in intraoral diseases of epidemiological importance like periodontal disease and caries. It can be used as a simple, inexpensive and rapid technique for assessing caries activity since a significant relationship exists clinically with caries status and microbiologically with the streptococcus mutans count of the individual [8,9]. It has been hypothesized that Oratest is based on the rate of oxygen depletion by micro-organisms. Under aerobic conditions the bacterial enzyme; aerobic dehydrogenase transfers electrons or protons to oxygen. Once oxygen gets utilized by the aerobic organisms and an anaerobic environment is attained, methylene blue (redox indicator) acts as an electron acceptor and gets reduced to leukomethylene blue. The metabolic activity of the aerobic microorganism is reflected by the reduction of methylene blue to leukomethylene blue [10]. Caries risk assessment has moved from depend on individual risk factor to an approach in which all risk factors are weighted based on the putative role they play in the etiology of the dental disease [11,12]. 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引用次数: 1

摘要

目的与目的:本研究旨在探讨龋谱与Oratest在学龄儿童龋病风险评估中的相关性。材料与方法:对240名健康学龄儿童进行临床诊断试验,应用龋齿造影和Oratest预测每个个体的龋齿风险。通过饮食问卷、访谈和临床检查收集构建口腔健康图所需的数据(饮食内容及频次、相关一般疾病、含氟牙膏的使用情况、刷牙及其他含氟补充剂的使用情况、既往牙史和牙菌斑评分)。在完成胸片检查后,对同一患者进行Oratest。采用SPSS 22软件对收集的数据进行分析。p值≤0.05认为有统计学意义。结果:低、高龋易感人群各危险因素及Oratest评分差异均有统计学意义。Cariogram的绿色部分(未来避免龋齿的机会)与Oratest得分呈极显著正相关,Cariogram和Oratest与龋齿状况呈极显著负相关。最晚起床时间少于64.43分钟的儿童患龋风险较高。结论:本研究提示Oratest与个体龋图绿色部分有明确的临床关系,可作为预测龋易感性的单独检测指标。Wahdan M. Elkwatehy1*和Rabab I Salama2 1埃及曼苏拉大学牙科学院牙科公共卫生讲师2埃及曼苏拉大学牙科学院牙科公共卫生助理教授*通信地址Wahdan M. Elkwatehy,埃及曼苏拉大学公共卫生与预防牙科系牙科学院,电话:00201000993389;E-mail: wahdanelkwatehy@yahoo.com投稿:2018年4月19日接收:2018年5月21日发布:2018年5月31日版权所有:©2018 Elkwatehy WM, et al.。这是一篇在知识共享署名许可下发布的开放获取文章,该许可允许在任何媒体上不受限制地使用、分发和复制,只要原始作品被适当引用。龋齿的病因是多因素的,宿主包括唾液和牙齿,微生物群落或生物膜,底物包括饮食和时间。可改变的危险因素可以被改变并适应干预。然而,不可改变的风险因素对卫生保健专业人员来说是相当具有挑战性的。了解龋齿的病因及其进展对于制定龋齿预防计划非常重要,而这也随着科学技术的进步而变得容易[2,3]。当确定龋齿的一个或多个风险因素很重要时,可以使用龋齿风险模型,以便可以计划可能的干预点。相反,当一个人主要对确定谁是高危人群感兴趣时,就会使用预测模型。主要目标是最大化预测的敏感性和特异性,以便任何好的预测者都可以包括在模型中。生物因素方法面临的一个挑战是正确总结各种相互关联的龋病危险因素的复杂图景,以便牙科专业人员在牙科诊所中轻松地常规使用[4,5]。人类龋齿风险预测的概念已经存在多年,特别是在过去的二十年中,Avens Publishing Group invitation Innovations J Oral Biol 2018年5月第5卷第1期©Elkwatehy等人保留所有权利。Avens出版集团邀请创新对这个问题的兴趣增加了。这似乎反映了龋齿病因学知识的最新进展,因此龋齿预测将更加准确,并取决于某些特定的危险因素或它们的组合。预防而非治疗龋齿是牙科保健工作者应优先考虑的问题,但同时也应了解和考虑日益增长的费用需求[6,7]。Oratest是一种潜在的全口诊断试验,用于测量牙周病和龋齿等具有流行病学重要性的口腔内疾病的微生物负荷。它可以作为一种简单、廉价和快速的评估龋齿活动的技术,因为临床与龋齿状态和微生物与个体的变形链球菌计数存在显著的关系[8,9]。据推测,Oratest是基于微生物耗氧的速率。在有氧条件下,细菌酶;需氧脱氢酶将电子或质子转移到氧中。 一旦氧被好氧生物利用,达到厌氧环境,亚甲基蓝(氧化还原指示剂)作为电子受体,被还原成白亚甲基蓝。好氧微生物的代谢活性通过亚甲基蓝还原为白亚甲基蓝[10]来反映。龋齿风险评估已经从依赖于个体风险因素转变为一种基于所有风险因素在牙病病因中所扮演的假定角色进行加权的方法[11,12]。在现有的龋齿风险预测模型中,龋齿图以图形方式确定个人在不久的将来避免龋齿的机会[13,14]。许多研究表明,Cariogram在预测龋齿方面比任何单一因素都更准确,在预测儿童龋齿方面显示出良好的效果[15,16]。由于缺乏足够的研究来评价Oratest作为一种风险评估测试的有效性,并将其与一种已被广泛认可的龋齿风险评估模型进行比较,这是尽管Oratest具有优势和潜力,但仍未被普遍接受的主要原因,因此本研究旨在验证该技术与龋齿风险评估的有效性。引用本文:Elkwatehy WM, Salama RI。学童龋齿风险评估的测量与测试。口腔医学杂志;2018;J口腔生物杂志5(1):6 (2018)Page 02 ISSN: 2377-987X
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cariogram and Oratest in Caries Risk Assessment for School Children
Aims and objectives: The present study was carried out to evaluate the correlation between Cariogram and Oratest in caries risk assessment among school children. Materials and Methods: A clinical diagnostic trial including 240 healthy school children using Cariogram and Oratest to predict the dental caries risk for each individual. The data required for Cariogram construction (diet contents and frequency, the related general diseases, the use of fluoridated toothpaste, tooth brushing and other fluoride supplements, past dental history and dental plaque scores) were collected by dietary questionnaire, interview and clinical examination. Oratest was carried out for the same patients after performing the Cariogram. The analysis of collected data was performed using SPSS version 22 software program. The p-values ≤ 0.05 was considered statistically significant. Results: There were statistically significant differences for all risk factors and Oratest scores between low and high caries risk individuals classified by Cariogram. A highly significant positive correlation between the green sector of Cariogram (chance of avoiding development of caries in future) and Oratest scores, highly significant negative correlations between both Cariogram and Oratest and dental caries status were found. Children with Oratest time less than 64.43 minutes are at high caries risk. Conclusion: The present study indicated that Oratest has a definite clinical relationship with the green sector of Cariogram of each individual and can be used as a separate test for predicting caries susceptibility. Wahdan M. Elkwatehy1* and Rabab I Salama2 1Lecturer of Dental Public Health, Faculty of dentistry, Mansoura University, Egypt 2Assistant professor of Dental Public Health, Faculty of dentistry, Mansoura University, Egypt *Address for Correspondence Wahdan M. Elkwatehy, Faculty of Dentistry, Department of Public Health and Preventive Dentistry, Mansoura University, Egypt, Tel: 00201000993389; E-mail: wahdanelkwatehy@yahoo.com Submission: 19 April, 2018 Accepted: 21 May, 2018 Published: 31 May, 2018 Copyright: © 2018 Elkwatehy WM, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Research Article Open Access Journal of Oral Biology Introduction Dental caries has a multi factorial etiology, host including saliva and teeth, the microflora or biofilm, the substrate as diet and time. The modifiable risk factors can be modified and amenable to intervention. Whereas, the non-modifiable risk factors are quite challenging to health care professionals [1]. Understanding caries etiology and its progression is very important for planning preventive programs for dental caries and this has been made easy with concomitant advances in science and technology [2,3]. Dental caries risk model is used when it is important to identify one or more risk factors for the disease so that likely points for intervention can be planned. A prediction model, on the contrary, is used when one is mainly interested in identifying who is at high risk. The main goal is to maximize sensitivity and specificity of the prediction, so that any good predictor may be included in the model. A challenge for the biological factor approach is to correctly summarize the complex picture of the various inter-related caries risk factors, so that it can easily be used by the dental professional routinely in the dental clinics [4,5]. The concept of prediction of human dental caries risk has existed for many years, particularly, during the past twenty years where the Avens Publishing Group Inviting Innovations J Oral Biol May 2018 Volume 5 Issue 1 © All rights are reserved by Elkwatehy, et al. Avens Publishing Group Inviting Innovations interest in this issue has been increased. This appears to reflect recent advances in the knowledge of the etiology of dental caries, thus the caries prediction will be more accurate and depend on certain specific risk factors or their combinations. The desire to prevent rather than to treat dental caries should be take the priority of dental health care workers but at the same time the increasing need of cost should be understood and put in their consideration [6,7]. The Oratest is a potential whole mouth diagnostic test to measure microbial load in intraoral diseases of epidemiological importance like periodontal disease and caries. It can be used as a simple, inexpensive and rapid technique for assessing caries activity since a significant relationship exists clinically with caries status and microbiologically with the streptococcus mutans count of the individual [8,9]. It has been hypothesized that Oratest is based on the rate of oxygen depletion by micro-organisms. Under aerobic conditions the bacterial enzyme; aerobic dehydrogenase transfers electrons or protons to oxygen. Once oxygen gets utilized by the aerobic organisms and an anaerobic environment is attained, methylene blue (redox indicator) acts as an electron acceptor and gets reduced to leukomethylene blue. The metabolic activity of the aerobic microorganism is reflected by the reduction of methylene blue to leukomethylene blue [10]. Caries risk assessment has moved from depend on individual risk factor to an approach in which all risk factors are weighted based on the putative role they play in the etiology of the dental disease [11,12]. Among the caries risk prediction models available is the cariogram which graphically determine the chance of an individual avoiding caries in the near future [13,14]. Many studies indicated that, Cariogram was more accurate in predicting caries than any single factor and had shown promising results in predicting caries in children [15,16]. The lack of sufficient studies to evaluate the effectiveness of Oratest as a risk assessment test in comparison with a well approved caries risk assessment model is the main reason why this is not universally acceptable in spite of its advantages and potential, so the present study conducted to validate the effectiveness of this technique in relation to Cariogram for caries risk assessment. Citation: Elkwatehy WM, Salama RI. Cariogram and Oratest in Caries Risk Assessment for School Children. J Oral Biol. 2018; 5(1): 6 J Oral Biol 5(1): 6 (2018) Page 02 ISSN: 2377-987X
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