Reasons for Extraction of Permanent Teeth in a University Dental Clinic Setting

PURPOSE: This study aimed to explore the reasons for tooth extraction and investigated the potential correlations between tooth loss and several variables including age, gender, education level, and other risk factors, such as diabetes and smoking habit. PATIENTS AND METHODS: The study retrospectively analyzed 1811 dental records of patients who underwent extraction procedure of at least one tooth. Patients’ variables included: age, gender, level of education, diabetes, and smoking habit. Reasons for extraction were recorded as follows: caries, periodontal disease, endodontic treatment complications, orthodontic treatment, impactions, trauma, pre-prosthetic, and others (esthetic reasons, tooth malposition, or unspecified reasons). STATISTICAL ANALYSIS: The significance of variables was analyzed by Chi square test, P < 0.05. The variances in the mean number of extracted teeth per patient were investigated using ANOVA. Pearson correlation test was used to test the strength of the association among the tested variables, P < 0.01. RESULTS: Out of 1811 reviewed patients’ records, 2654 extracted teeth were identified. Males had a higher number of extracted teeth, 1447 (54.5%), than females, 1207 (45.5%). Males had more extractions due to periodontal disease, while females had more extractions for orthodontic and pre-prosthetic reasons. The highest mean of extracted teeth was identified among the 51-year-old and above age groups (3.73 ± 0.53 teeth) where periodontal disease was shown to have a significant association (P < 0.05). Diabetic patients showed a significant association with periodontal diseases, while smokers showed a significant association with caries. Both diabetics and smokers had moderate correlation (0.055 and 0.04, respectively). CONCLUSION: Caries, periodontal disease, and endodontic complications were the most common causes of tooth extraction. In addition, this study indicated that age, diabetes, and smoking habits were found to be suitable forecasters for permanent tooth loss as these variables displayed significant statistical association.