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

Current health sciences journal Pub Date : 2024-01-01 Epub Date: 2024-03-31 DOI:10.12865/CHSJ.50.01.04
Dorin Nicolae Gheorghe, Flavia Mirela Nicolae, Dora Maria Popescu, Sergiu Ciobanu, Petra Surlin
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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.

牙周病的临床和人口学特征:使用 2018 年牙周病分类算法的回顾性分析。
这项回顾性研究旨在调查牙周疾病在人群中的流行情况,并探索被诊断为牙周炎患者的潜在人口统计学和临床变异。研究分析了克拉约瓦医学和药学大学牙周病诊所在 2018 年至 2019 年期间收集的 104 份患者记录。利用 2018 年牙周疾病分类算法,患者被分为三组:无牙周问题对照组(H 组)、牙龈炎组(G 组)和牙周炎组(P 组)。收集的数据包括人口统计学信息、口腔卫生指标和临床参数。统计分析和图表显示了显著的趋势,例如牙周炎的发病率(51%)高于牙龈炎(14%),35%的参与者没有牙周病的迹象。详细的分组分析凸显了特定的模式,包括在没有牙周问题的患者中男性占绝大多数,以及牙周阶段的分布因性别而异。此外,研究还探讨了与年龄有关的变化,发现从对照组(33.04 岁)到牙龈炎组(34.86 岁)的平均年龄不断增加,而牙周炎组(45.49 岁)的平均年龄则显著上升。这些发现强调了早期发现和干预牙周疾病的重要性,并为临床医生定制个性化诊断和治疗方法提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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