Angle Orthod. 2019 Jul;89(4):637-642. doi: 10.2319/030918-197.1. Epub 2019 Mar 6.
To investigate the relationship between salivary alkaline phosphatase activity (ALP), protein concentration, and chronological age with cervical vertebral maturation stages (CVMS) as noninvasive biomarkers for skeletal maturity assessment.
This cross-sectional study included 79 subjects (48 females, 31 males; 7 to 23 years old) categorized into five CVMS based on lateral cephalographs evaluated by three examiners. ALP activity and protein concentration in unstimulated whole saliva were compared among five CVMS. The association between age and CVMS was assessed and five multinomial logistic regression models were utilized to predict CVMS based on salivary ALP activity, protein concentration, and chronological age.
Salivary ALP reached the peak at early pubertal stage and then declined with a significant difference between CVMS I and CVMS II ( < .001) and between CVMS I and CVMS V ( = .004). A significant positive correlation between age and CVMS was found (r = 0.763, < .001). The models' overall correct classification rates for predicting CVMS were 32.9% using protein concentration, 35.4% using ALP activity, and 53.2% using both ALP activity and age.
The combination of salivary ALP activity and chronological age may provide the best CVMS prediction.
研究唾液碱性磷酸酶活性(ALP)、蛋白浓度与年龄与颈椎成熟度(CVMS)的关系,作为评估骨骼成熟度的非侵入性生物标志物。
本横断面研究纳入 79 名受试者(48 名女性,31 名男性;7 至 23 岁),根据 3 名评估员评估的侧位头颅侧位片分为 5 个 CVMS 组。比较了 5 个 CVMS 组中未刺激全唾液中的 ALP 活性和蛋白浓度。评估了年龄与 CVMS 之间的关系,并利用 5 个多项逻辑回归模型基于唾液 ALP 活性、蛋白浓度和年龄预测 CVMS。
唾液 ALP 在青春早期达到峰值,然后下降,CVMS I 与 CVMS II 之间( <.001)和 CVMS I 与 CVMS V 之间( =.004)差异具有统计学意义。年龄与 CVMS 之间存在显著正相关(r = 0.763, <.001)。仅使用蛋白浓度预测 CVMS 的模型总体正确分类率为 32.9%,仅使用 ALP 活性为 35.4%,同时使用 ALP 活性和年龄为 53.2%。
唾液 ALP 活性和年龄的组合可能提供最佳的 CVMS 预测。