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匈牙利通过联合使用早期龋损、唾液缓冲能力、乳酸杆菌和酵母菌进行龋病预测[已修正]

Caries prediction through combined use of incipient caries lesions, salivary buffering capacity, lactobacilli and yeasts in Hungary [corrected].

作者信息

Pienihäkkinen K

机构信息

Institute of Dentistry, University of Turku, Finland.

出版信息

Community Dent Oral Epidemiol. 1987 Dec;15(6):325-8. doi: 10.1111/j.1600-0528.1987.tb01745.x.

DOI:10.1111/j.1600-0528.1987.tb01745.x
PMID:3480093
Abstract

The caries predictive value of incipient caries lesions (INC), salivary buffering capacity (DBPH), and salivary lactobacilli and yeasts (DCOC) was studied using logistic regression models. Additionally the effect of age was analysed. The subjects (n = 284) were from 7 to 12 yr of age (categorized less than or equal to 9 yr and greater than or equal to 10 yr). The measurements were carried out with Dentocult, Oricult and Dentobuff chair-side methods (Orion Diagnostica, Helsinki) in two groups of a field study. INC and DCOC contributed significantly to prediction in both groups. The estimated odds for being a caries active subject were about 20-fold in one group and 33.5-fold in greater than or equal to 10 yr in the other, when a child had positive values for INC and DCOC, in comparison with all negative values. Additionally DBPH had predictive value in both age categories in the latter group. Although the prediction was not perfect on an individual basis (correct in about 70% of subjects) the estimated odds-ratios clearly describe the differences in the susceptibility to caries. The results suggest that the present variables, especially in combination, have good ability to distinguish subjects in respect of high and low caries increment.

摘要

使用逻辑回归模型研究了早期龋损(INC)、唾液缓冲能力(DBPH)以及唾液乳酸杆菌和酵母菌(DCOC)的龋齿预测价值。此外,还分析了年龄的影响。研究对象(n = 284)年龄在7至12岁之间(分为小于或等于9岁和大于或等于10岁两组)。在一项现场研究的两组中,采用Dentocult、Oricult和Dentobuff椅旁方法(芬兰赫尔辛基的Orion Diagnostica公司)进行测量。INC和DCOC在两组中对预测均有显著贡献。当儿童的INC和DCOC值为阳性,而其他值均为阴性时,在一组中成为龋齿活跃患者的估计比值约为20倍,在另一组大于或等于10岁的儿童中为33.5倍。此外,DBPH在后者组的两个年龄类别中均具有预测价值。尽管个体预测并不完美(约70%的受试者预测正确),但估计的比值比清楚地描述了龋齿易感性的差异。结果表明,目前的这些变量,尤其是联合使用时,在区分高龋齿增量和低龋齿增量的受试者方面具有良好的能力。

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Caries prediction through combined use of incipient caries lesions, salivary buffering capacity, lactobacilli and yeasts in Hungary [corrected].匈牙利通过联合使用早期龋损、唾液缓冲能力、乳酸杆菌和酵母菌进行龋病预测[已修正]
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引用本文的文献

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Ann Med Health Sci Res. 2016 Mar-Apr;6(2):80-4. doi: 10.4103/2141-9248.181843.
2
Root caries risk indicators: a systematic review of risk models.根面龋风险指标:风险模型的系统评价。
Community Dent Oral Epidemiol. 2010 Oct;38(5):383-97. doi: 10.1111/j.1600-0528.2010.00551.x.