Janket Sok-Ja, Qvarnström Markku, Meurman Jukka H, Baird Alison E, Nuutinen Pekka, Jones Judith A
Department of General Dentistry, Boston University Goldman School of Dental Medicine, 100 E. Newton St, Boston, Mass 02118, USA.
Circulation. 2004 Mar 9;109(9):1095-100. doi: 10.1161/01.CIR.0000118497.44961.1E. Epub 2004 Feb 16.
Oral infections have been postulated to produce cytokines that may contribute to the pathogenesis of coronary heart disease (CHD). We hypothesized that by estimating the combined production of inflammatory mediators attributable to several oral pathologies, we might be able to explain CHD with better precision.
A total of 256 consecutive Finnish cardiac patients from Kuopio University Hospital with angiographically confirmed CHD and 250 age-, gender-, and residence-matched noncardiac patients (controls) were recruited. All dental factors expected to generate inflammatory mediators, including pericoronitis, dental caries, dentate status, root remnants, and gingivitis, were examined, and an asymptotic dental score (ADS) was developed by logistic regression analyses with an appropriate weighting scheme according to the likelihood ratio. We validated the explanatory ability of ADS by comparing it to that of the Total Dental Index and examining whether the ADS was associated with known predictors of CHD. A model that included ADS, C-reactive protein, HDL, and fibrinogen offered an explanatory ability that equaled or exceeded that of the Framingham heart score (C statistic=0.82 versus 0.80). When ADS was removed from this model, the C-statistic decreased to 0.77, which indicates that the ADS was a significant contributor to the explanatory ability of a logistic model.
ADS may be useful as a prescreening tool to promote proactive cardiac evaluation among individuals without overt symptoms of CHD. However, additional prospective study is needed to validate the use of an oral health score as a predictor of incident CHD.
据推测,口腔感染会产生细胞因子,可能导致冠心病(CHD)的发病机制。我们假设,通过估计几种口腔疾病所致炎症介质的联合产生情况,或许能够更精确地解释冠心病。
从库奥皮奥大学医院连续招募了256名经血管造影证实患有冠心病的芬兰心脏病患者以及250名年龄、性别和居住地相匹配的非心脏病患者(对照组)。对所有预期会产生炎症介质的牙科因素进行了检查,包括冠周炎、龋齿、牙齿状况、牙根残留和牙龈炎,并通过逻辑回归分析以及根据似然比的适当加权方案制定了渐近牙科评分(ADS)。我们通过将ADS与总牙科指数的解释能力进行比较,并检查ADS是否与冠心病的已知预测因素相关,来验证ADS的解释能力。一个包含ADS、C反应蛋白、高密度脂蛋白和纤维蛋白原的模型提供的解释能力等于或超过了弗雷明汉心脏评分(C统计量=0.82对0.80)。当从该模型中去除ADS时,C统计量降至0.77,这表明ADS是逻辑模型解释能力的一个重要贡献因素。
ADS可能作为一种预筛查工具,有助于在没有明显冠心病症状的个体中促进积极的心脏评估。然而,需要进一步的前瞻性研究来验证将口腔健康评分用作冠心病发病预测指标的用途。