Periodontal profile class is associated with prevalent diabetes, coronary heart disease, stroke, and systemic markers of C-reactive protein and interleukin-6.

Periodontal profile class is associated with prevalent diabetes, coronary heart disease, stroke, and systemic markers of C-reactive protein and interleukin-6.
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DOI:
10.1002/jper.17-0426
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发表时间:
2018-03
影响因子:
4.3
通讯作者:
Offenbacher S
Offenbacher S
中科院分区:
医学2区
文献类型:
--
作者:
Beck JD;Moss KL;Morelli T;Offenbacher S

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本文重点介绍牙周轮廓分类(PPC)系统,该系统可能比现有的牙周炎病例定义更能反映牙周炎的表型。这项研究说明了与其他牙周指数相比,PPC在研究牙周病和流行的全身疾病之间的联系方面的独特之处。我们使用新的PPC和两个传统的指数计算优势比和95%的可信区间,以比较牙周病和流行的全身疾病之间的联系。我们使用贝叶斯信息标准(BIC)来确定模型的适合性以及超出传统危险因素的牙周病的贡献的大小。社区动脉粥样硬化风险(ARIC)研究(1996-1998)的结果与2009-2014年全国健康和营养检查综合调查数据集的结果进行了比较。在ARIC研究中,高度牙周炎、牙齿脱落、严重牙齿脱落和严重疾病的PPC成分与糖尿病、冠心病(CHD)、高敏C反应蛋白和白介素6显著相关,而只有严重疾病与中风有关。根据疾病控制中心/美国牙周学学会的指数,严重疾病与CHD有关,而欧洲牙周指数与CHD和IL-6有关。将购买力平价添加到与糖尿病、中风、冠心病和全身炎症指标相关的传统变量后,总体模型得到了非常强劲的改善,而传统指数不太可能存在关联,如果存在,关联也较弱。PPC系统提供了对表型的个体和牙周特征的具体洞察,这些表型与全身条件有关,这可能对设计治疗干预措施有用。
This paper focuses on the Periodontal Profile Class (PPC) System that may be more informative and representative of periodontitis phenotypes than current case definitions of periodontitis. This study illustrates the unique aspects of the PPC compared with other periodontal indices for studying associations between periodontal disease and prevalent systemic conditions. We computed odds ratios and 95% confidence intervals to compare associations between periodontal disease and prevalent systemic conditions using our new PPC and two traditional indices. We used the Bayesian Information Criterion (BIC) to determine the fit of the model and the magnitude of the contribution attributable to periodontal disease beyond traditional risk factors. The Atherosclerosis Risk in Communities (ARIC) Study (1996–1998) results were compared with results from the combined National Health and Nutrition Examination Survey 2009–2014 datasets. In the ARIC Study, high gingival inflammation, tooth loss, severe tooth loss, and severe disease PPC components were significantly associated with diabetes, coronary heart disease (CHD), high-sensitivity C-reactive protein, and interleukin (IL)-6, while only severe disease was associated with stroke. Severe disease was associated with CHD using the Centers for Disease Control/American Academy of Periodontology index, and the European Periodontal index was associated with CHD and IL-6. The addition of the PPC to traditional variables associated with prevalent diabetes, stroke, CHD, and systemic measures of inflammation resulted in very strong improvement of the overall models, while the traditional indices were less likely to be associated and, if present, the associations were weaker. The PPC system provides specific insight into the individuals and periodontal characteristics of the phenotype that are associated with systemic conditions that may be useful in designing treatment interventions.