Clinical and Demographic Profiling of Periodontal Diseases: A Retrospective Analysis Using the 2018 Periodontal Classification Algorithm.

Abstract

The research presented in this retrospective study aimed to investigate the prevalence of periodontal diseases within a population and explore potential demographic and clinical variations among patients diagnosed with periodontitis. The study involved the analysis of 104 patient records from the Periodontology Clinic at the University of Medicine and Pharmacy in Craiova, collected between 2018 and 2019. Utilizing the 2018 classification algorithm for periodontal diseases, patients were categorized into three groups: a control group without periodontal issues (Group H), a gingivitis group (Group G), and a periodontitis group (Group P). The collected data encompassed demographic information, oral hygiene indicators, and clinical parameters. Statistical analysis and graphical representation revealed notable trends, such as the higher prevalence of periodontitis (51%) compared to gingivitis (14%), with 35% of participants showing no signs of periodontal involvement. Detailed group analyses highlighted specific patterns, including a substantial male predominance among patients without periodontal issues and varying distributions of periodontal stages based on gender. Additionally, the study explored age-related variations, revealing an increasing average age from the control group (33.04 years) to the gingivitis group (34.86 years) and a significant rise in the periodontitis group (45.49 years). The findings underscore the importance of early detection and intervention in periodontal diseases and provide valuable insights for clinicians in tailoring individualized diagnostic and treatment approaches.