Prevalence of Dental Anomalies in Skeletal Malocclusions with Different Growth Patterns in North Indian Population- A Cross-sectional Study

Abstract

Introduction: Anomalies of the developing dentition occur due to absence or interruption of normal tooth development along with genetic and/or environment influences. Craniofacial development and dental malocclusion is an interplay between a number of factors such as tooth size, arch size and shape, the number and arrangement of teeth, size and relationship of the jaws and related soft tissues including lips, cheeks, and tongue. Aim: To evaluate the prevalence and distribution of dental anomalies among different skeletal malocclusions and growth patterns in North Indian population. Materials and Methods: This retrospective cross-sectional study was conducted on pretreatment diagnostic records of 260 patients belonging to the age group of 15-25 years, who had reported to the Out Patient Department (OPD) of Department of Orthodontics, Faculty of Dental Sciences, SGT University, Gurugram, Haryana, India, during the period of April 2012 to December 2020. The analysis was carried out between November 2020 and January 2021. The study sample was grouped into different growth patterns and skeletal malocclusions based on Sella-Nasion-Gonion- Gnathion (SN Go-Gn) and ANB (A point, nasion, B point), Sagittal intermaxillary angle values respectively, which were obtained from the pretreatment lateral cephalometric tracings. The prevalence of dental anomalies was evaluated in each group by examining the pretreatment diagnostic records. Chi-Square/Fisher-Freeman- Halton test were used for statistical analysis. Results: The prevalence of dental anomalies in the study sample was 65 (25%). The most common anomaly found was over retained deciduous teeth, followed by ectopic eruption with prevalence rate of 30 (11.5%) and 24 (9.2%), respectively. A total of 142 (54.6%) patients had hypodivergent growth pattern, 23 (8.8%) had normodivergent growth pattern and 95 (36.5%) had hyperdivergent growth pattern. 36 (13.8%) patients had skeletal class I malocclusion, 205 (78.8%) had skeletal class II malocclusion and 19 (7.3%) patients had skeletal class III malocclusion. Hypodivergent group showed the highest prevalence of dental anomalies with 38 (26.8%), followed by hyperdivergent group with 23 (24.2%) and normodivergent group were 4 (17.4%). Skeletal class I malocclusion group had the highest number of dental anomalies as 13 (36.1%), followed by skeletal class II malocclusion with 50 (24.4%) and skeletal class III malocclusion group with 2 (10.5%). Conclusion: Hypodivergent growth pattern and skeletal class II malocclusion were the most prevalent growth pattern and skeletal malocclusion in North Indian population. Dental anomalies were most prevalent in patients with hypodivergent growth pattern and skeletal class I malocclusion. The results of the present study indicate that dental anomalies are associated with certain malocclusions and growth patterns which may contribute to more accurate treatment predictions.