PERIODONTITIS AND PRETERM LOW BIRTH WEIGHT

在这笔赠款上进行的研究已经确定了牙周 疾病是早产的重要危险因素(P=0.0033 人类分娩和低出生体重(PLBW)。数据来自于 对124名母亲的病例对照研究表明，怀孕 患有全身性牙周炎(即大于或等于 60%的站点具有3 mm或更多的附着损失) 调整后的赔率比为7.5，适用于公共汽车工人。有这样的风险 PLBW是牙周感染的结果，其程度更大 比吸烟或饮酒造成的风险更大。这 延续提案寻求披露有关 新观察到的归因风险和分子基础 协会。在他的续任建议中，我们计划进行一次 孕妇额外负担量化的前瞻性研究 使用优势比和归因风险来评估牙周感染 PLBW，分析可能的混杂因素。我们将把 牙周疾病变量，例如疾病程度的测量， 严重性、微生物特异性和局部炎症介质 分泌物，除了传统的风险变量外，形成新的 可再生能源的多因素风险评估模型。我们会 确定牙周沟液中PGE2或PGE2的水平 IL-1β区域与早产、早破 胎膜早破或胎儿生长受阻。这五年 对2500多名孕妇进行的前瞻性研究将使我们能够 确认牙周病和PLBW之间的联系， 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.