Conclusions
The combination of salivary ALP activity and chronological age may provide the best CVMS prediction.
Methods
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.
Results
Salivary ALP reached the peak at early pubertal stage and then declined with a significant difference between CVMS I and CVMS II (P < .001) and between CVMS I and CVMS V (P = .004). A significant positive correlation between age and CVMS was found (rs = 0.763, P < .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. Conclusions: The combination of salivary ALP activity and chronological age may provide the best CVMS prediction.