Ravidà Andrea, Qazi Musa, Troiano Giuseppe, Saleh Muhammad H A, Greenwell Henry, Kornman Kenneth, Wang Hom-Lay
Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, MI.
Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
J Periodontol. 2020 Apr;91(4):454-461. doi: 10.1002/JPER.19-0390. Epub 2019 Sep 25.
A new classification of periodontal diseases aimed to identify periodontal disease based on a multidimensional staging and grading system has been recently proposed. However, up to date, its prognostic predictive capability has not been investigated. The aim of this study was to assess if parameters included in the new classification were predictive of tooth loss after a long-term follow-up (>10 years) in patients with periodontitis.
Patients presented with periodontitis at the University of Michigan between January 1966 and January 2004 were screened and categorized according to the new classification of periodontitis. Number/Reasons of teeth loss in patients who underwent at least one session/year of maintenance during the entire follow-up period were extracted and used to analyze the prognostic capabilities of variables (staging, grading, and Extent) included in the new classification.
A total number of 292 patients with a mean follow-up of 289.7 ± 79.6 months were included. 31 (10.6%) patients were classified as Stage 1, 85 (29.1%) as Stage 2, 146 (50%) as Stage 3, and 30 (10.3%) as Stage 4. For grading, 34 (11.7%) were classified as Grade A, 193 (66.1%) as Grade B, and 65 (22.2%) as Grade C. Results of multilevel Cox regression analyses revealed a statistically significant association between stage (HR:3.73 between Stage 4 and Stage 1) and grade (HR: 4.83 between Grade C and Grade A) at baseline and periodontal related tooth loss, whereas no differences were detected for the extent of periodontitis.
This study provides the initial evidence regarding the predictive ability of the new classification of periodontitis. Patients in either Stage 4 or Grade C showed a significantly higher periodontal-related tooth loss.
最近提出了一种新的牙周疾病分类方法,旨在基于多维分期和分级系统来识别牙周疾病。然而,截至目前,尚未对其预后预测能力进行研究。本研究的目的是评估新分类中包含的参数在牙周炎患者长期随访(>10年)后是否能预测牙齿缺失情况。
对1966年1月至2004年1月期间在密歇根大学就诊的牙周炎患者进行筛查,并根据新的牙周炎分类进行归类。提取在整个随访期间每年至少接受一次维护治疗的患者的牙齿缺失数量/原因,并用于分析新分类中包含的变量(分期、分级和范围)的预后能力。
共纳入292例患者,平均随访时间为289.7±79.6个月。31例(10.6%)患者被分类为1期,85例(29.1%)为2期,146例(50%)为3期,30例(10.3%)为4期。分级方面,34例(11.7%)为A级,193例(66.1%)为B级,65例(22.2%)为C级。多水平Cox回归分析结果显示,基线时分期(4期与1期之间的HR:3.73)和分级(C级与A级之间的HR:4.83)与牙周相关牙齿缺失之间存在统计学显著关联,而牙周炎范围未检测到差异。
本研究提供了关于新的牙周炎分类预测能力的初步证据。4期或C级患者的牙周相关牙齿缺失明显更高。