PERIODONTITIS AND PRETERM LOW BIRTH WEIGHT

在这项赠款进行的研究已经建立了牙周 疾病是早产的重要危险因素（P=0.0033） 分娩和低出生体重（PLBW）。 数据从 对124名母亲的病例对照研究表明， 患有全身性牙周炎的女性（即大于或等于 60%的附着丧失3 mm或更多的部位） PLBW的调整优势比为7.5。 的危险 由于牙周感染导致的PLBW是更大的幅度 吸烟或饮酒的风险更大。 这 继续提案旨在揭示有关 这种新观察到的可归因风险和分子基础 协会 在他的延续建议中，我们计划进行一次 对孕妇的前瞻性研究，以量化增加的负担 牙周感染的优势比和归因风险 PLBW，分析可能的混杂因素。 我们将合并 牙周病变量如疾病程度的测量， 严重程度、微生物特异性和局部炎症介质 分泌，除了传统的风险变量，形成新的 PLBW的多因素风险评估模型。 我们将 确定是否牙周沟液水平的PGE 2或 IL-1 β面积与早产、早产破裂相关 胎膜早破（PROM）或胎儿生长受损。 这五年 对2500多名孕妇的前瞻性研究将使我们能够 证实牙周病和PLBW之间的关联， 控制潜在的产科混杂因素，如年龄，种族， 营养，细菌性阴道病，产前护理和行为 变量

Research conducted on this grant has established periodontal disease as a significant risk factor (P=0.0033) for preterm delivery and low birth weight (PLBW) in humans. Data from a case-control study of 124 mothers demonstrate that pregnant women with generalized periodontitis (i.e. greater than or equal to 60% of sites with 3 or more mm of attachment loss) have an adjusted odds ratio of 7.5 for having a PLBW. the risk of having PLBW as a result of periodontal infection is of greater magnitude than the risk attributable to smoking or alcohol usage. This continuation proposal seeks to reveal new data regarding the attributable risk and molecular basis for this newly observed association. In t his continuation proposal we plan to conduct a perspective study of pregnant women to quantify the added burden of periodontal infection using odds ratios and attributable risk for PLBW, analyzing for possible confounders. We will incorporate periodontal disease variables such as measures of disease extent, severity, microbial specificity and local inflammatory mediator secretion, in addition to traditional risk variables to form new multifactorial risk assessment models for PLBW. We will determine whether periodontal crevicular fluid levels of PGE2 or IL-1beta area associated with preterm delivery, premature rupture of membranes (PROM) or impaired fetal growth. This five year prospective study on over 2500 pregnant women will enable us to confirm the association between periodontal disease and PLBW, controlling for potential obstetric confounders such as age, race, nutrition, bacterial vaginosis, prenatal care and behavioral variables.