Abstract: Objective To explore the pain involved clinical factors during seating dental implant restoration abutments and establish a multivariable linear regression model. Methods Patients of Dentium implant restoration were collected at the Department of Implantology of Affiliated Hospital of Stomatology of Nanjing Medical University from October 2015 to March 2016. Visual analog scale (VAS) was used to score pain intensity during seating dental implant restoration abutments. The clinical factors related to the pain intensity were measured and recorded, including the implant location of maxilla or mandibular (Max-Man) and anterior or posterior tooth area (A-P), the depth of gingival cuff (DC) and the interval time between secondary operation and final restoration (TI). Correlations between these factors and pain intensity were explored by linear regression analysis and a multivariable linear regression model was established. Results 38 patients with 82 Dentium implants were included in this study. DC and TI had statistically significant correlation with the pain intensity and were introduced to establish a multivariable linear regression model. Max-Man and A-P had no statistically significant correlation with the pain intensity. In the established multivariable linear regression model, the predictors had no collinearity; sample influential points were absent, and the residual distribution had normality and equal variances. Conclusion DC and TI have significant association with the pain intensity during seating implant abutments. Thus, the established multivariable linear regression model is reliable.

Key words: Dental implant, Abutment, Seating, Pain, Visual analog scale, Multivariable liner regression