School of Stomatology, Qingdao University, Qingdao 266003, China.
Stomatology Center, Qingdao Municipal Hospital, Qingdao 266071, China.
Hua Xi Kou Qiang Yi Xue Za Zhi. 2021 Jun 1;39(3):300-305. doi: 10.7518/hxkq.2021.03.009.
This study aimed to compare the salivary biochemical indices between caries-free individuals and those with early childhood caries (ECC), and construct a saliva-based caries diagnostic model by analyzing the correlation between salivary biochemical indices and caries severity.
A total of 120 children aged 4-6 years were selected and divided into two groups: individuals with ECC (C group, =60) and healthy children (H group, =60). Salivary samples were collected to compare the pH, total protein, and ion concentrations between the two groups. The correlation between the salivary biochemical indices and caries severity was examined, and an ECC diagnostic model was established.
The NO concentration significantly decreased in the C group, whereas the Cl, Br, NH, and Mg concentrations significantly increased in the C group (<0.05). In addition, the salivary caries severity had a significantly negative correlation with the NO concentration but had a positive correlation with Br, Cl, and NH concentrations (<0.05). The ECC diagnostic model based on salivary biochemical indices could yield satisfactory results in terms of distinguishing the C and H groups with over 85% accuracy.
Salivary biochemical indices can contribute to the diagnosis and risk assessment of ECC.
本研究旨在比较无龋个体与早期儿童龋（ECC）个体的唾液生化指标，并通过分析唾液生化指标与龋严重程度之间的相关性，构建基于唾液的龋病诊断模型。
选择 120 名年龄在 4-6 岁的儿童，分为两组：ECC 组（C 组，n=60）和健康儿童组（H 组，n=60）。收集唾液样本，比较两组间 pH 值、总蛋白和离子浓度。检测唾液生化指标与龋严重程度的相关性，并建立 ECC 诊断模型。
C 组的 NO 浓度显著降低，而 C 组的 Cl、Br、NH 和 Mg 浓度显著升高（<0.05）。此外，唾液龋严重程度与 NO 浓度呈显著负相关，而与 Br、Cl 和 NH 浓度呈正相关（<0.05）。基于唾液生化指标的 ECC 诊断模型在区分 C 组和 H 组方面具有超过 85%的准确率。
唾液生化指标可用于 ECC 的诊断和风险评估。
