Dye Bruce A, Herrera-Abreu Miriam, Lerche-Sehm Julia, Vlachojannis Christian, Pikdoken Levent, Pretzl Bernadette, Schwartz Aaron, Papapanou Panos N
Centers for Disease Control and Prevention, National Center for Health Statistics, Hyattsville, MD, USA.
J Periodontol. 2009 Apr;80(4):634-47. doi: 10.1902/jop.2009.080474.
Assessment of periodontal conditions in epidemiologic studies usually requires a clinical examination, which is resource-intensive. We investigated the ability of serum immunoglobulin G (IgG) antibodies to periodontal bacteria to reflect clinical periodontal status.
We used checkerboard immunoblotting to assess serum IgG levels to 19 species, including established/putative periodontal pathogens and non-pathogenic bacteria, in 5,747 dentate adults aged > or = 40 years who participated in the third National Health and Nutrition Examination Survey between 1988 and 1994. Three earlier described alternative definitions of periodontitis were used, based on specific combinations of probing depth and attachment level values. Optimized elevated titer thresholds and corresponding sensitivities and specificities were calculated for each definition. Titers significantly associated with periodontitis were identified in univariable and multivariable logistic regression models. Parsimonious models were subsequently developed using age, gender, race/ethnicity, education, smoking, and diagnosed diabetes.
In unadjusted models, high titers to Porphyromonas gingivalis were most strongly associated with periodontitis across all definitions (odds ratio, 2.07 to 2.74; P <0.05). In parsimonious models including demographic data, smoking, and diagnosed diabetes, high P. gingivalis titers were consistently associated with periodontitis, whereas high Eubacterium nodatum titers were associated with periodontal health in two of three definitions. Receiver operating characteristic curves for the parsimonious multivariable models showed that the area under the curve ranged between 0.72 and 0.78.
Serum IgG titers to selected periodontal species, combined with demographic and behavioral characteristics, resulted in a moderately accurate classification of periodontal status in epidemiologic studies. The external validity of these findings must be examined further.
在流行病学研究中,评估牙周状况通常需要进行临床检查,这需要耗费大量资源。我们研究了血清中针对牙周细菌的免疫球蛋白G(IgG)抗体反映临床牙周状况的能力。
我们采用棋盘式免疫印迹法评估了19种细菌的血清IgG水平,这些细菌包括已确定的/假定的牙周病原体和非致病性细菌,研究对象为5747名年龄≥40岁的有牙成年人,他们参与了1988年至1994年期间的第三次全国健康和营养检查调查。基于探诊深度和附着水平值的特定组合,使用了三种先前描述的牙周炎替代定义。针对每个定义计算了优化的升高滴度阈值以及相应的敏感性和特异性。在单变量和多变量逻辑回归模型中确定了与牙周炎显著相关的滴度。随后使用年龄、性别、种族/民族、教育程度、吸烟情况和已诊断的糖尿病情况建立了简约模型。
在未调整的模型中,针对牙龈卟啉单胞菌的高滴度在所有定义中与牙周炎的相关性最强(优势比为2.07至2.74;P<0.05)。在包含人口统计学数据、吸烟情况和已诊断糖尿病情况的简约模型中,牙龈卟啉单胞菌的高滴度始终与牙周炎相关,而在三种定义中的两种中,诺氏真杆菌的高滴度与牙周健康相关。简约多变量模型的受试者工作特征曲线显示,曲线下面积在0.72至0.78之间。
血清中针对选定牙周菌种的IgG滴度,结合人口统计学和行为特征,在流行病学研究中对牙周状况进行了适度准确的分类。这些发现的外部有效性必须进一步检验。