Reddy M S, Geurs N C, Jeffcoat R L, Proskin H, Jeffcoat M K
Department of Periodontology, UAB School of Dentistry, Birmingham, AL 35294-0007, USA.
J Periodontol. 2000 Oct;71(10):1583-90. doi: 10.1902/jop.2000.71.10.1583.
The objective of this investigation is to use noninvasive, state-of-the-art, diagnostic techniques to measure periodontal disease progression and model periodontal disease activity over time. In this investigation, digital subtraction radiography and an electronic controlled force periodontal probe capable of attachment level measurement were used to measure bone loss and attachment loss, respectively. The use of these nearly continuous measures of attachment and bone loss allowed detection of small amounts of disease activity and provided data to be used in modeling of the disease process over time.
Forty-four patients were studied for 18 months. Examinations used clinical attachment level measures at 1-month intervals and quantitative radiology at 6-month intervals. The sites were analyzed by regression for statistically significant changes. These data were used to determine sites of periodontal disease activity for testing various models of periodontal disease progression.
Overall 22.8% of sites lost attachment, 5.4% gained, and 71.7% demonstrated no statistically significant change. The mean time to lose 1 mm of attachment was 8.4 +/- 0.6 months. In the first model tested a step-wise discriminant analysis was used to determine whether or not baseline measurements of plaque (PI), gingival inflammation (GI), attachment loss, and probing depth (PD) could be used to derive a satisfactory model for disease progression. Although the overall model was statistically significant with PI, PD, and GI contributing to the model (Wilks' lambda = 0.859, F = 5.71, P <0.0012), its predictive power was relatively weak. A considerably stronger significant model resulted when the rate of attachment loss over the first 6 months, baseline PI, and baseline GI were included (Wilks' lambda = 0.712, F = 14.17, P<0.00001). A significant model also resulted when bone loss during the first 6 months and baseline probing depth were included (Wilks' lambda = 0.438, F = 61.48, P<0.00001). When the last model was applied to each site, the sensitivity in predicting disease progression was 80.0% and the specificity in ruling out progressive disease was 93.9%.
This study indicates that clinically significant progression of attachment loss in posterior tooth sites occurs as a frequent event in adult periodontitis. The modeling data also suggest that short-term (6 month) measures of periodontal disease progression greatly improve the ability to model attachment loss over a longer period in untreated periodontitis patients.
本研究的目的是使用无创的、最先进的诊断技术来测量牙周疾病的进展情况,并建立牙周疾病随时间变化的活动模型。在本研究中,分别使用数字减影放射摄影和能够测量附着水平的电子控制压力牙周探针来测量骨丧失和附着丧失。使用这些对附着和骨丧失几乎连续的测量方法能够检测到少量的疾病活动,并提供数据用于建立疾病随时间变化的过程模型。
对44名患者进行了18个月的研究。每隔1个月使用临床附着水平测量方法进行检查,每隔6个月进行定量放射学检查。通过回归分析这些部位是否有统计学上的显著变化。这些数据用于确定牙周疾病活动的部位,以测试各种牙周疾病进展模型。
总体而言,22.8%的部位附着丧失,5.4%的部位附着增加,71.7%的部位无统计学上的显著变化。附着丧失1mm的平均时间为8.4±0.6个月。在第一个测试模型中,使用逐步判别分析来确定菌斑(PI)、牙龈炎症(GI)、附着丧失和探诊深度(PD)的基线测量值是否可用于得出一个令人满意的疾病进展模型。虽然总体模型具有统计学意义,PI、PD和GI对模型有贡献(威尔克斯lambda=0.859,F=5.71,P<0.0012),但其预测能力相对较弱。当纳入前6个月的附着丧失率、基线PI和基线GI时,得到了一个显著更强的模型(威尔克斯lambda=0.712,F=14.17,P<0.00001)。当纳入前6个月的骨丧失和基线探诊深度时,也得到了一个显著模型(威尔克斯lambda=0.438,F=61.48,P<0.00001)。将最后一个模型应用于每个部位时,预测疾病进展的敏感性为80.0%,排除进展性疾病的特异性为93.9%。
本研究表明,在成人牙周炎中,后牙部位临床上显著的附着丧失进展是常见事件。建模数据还表明,牙周疾病进展的短期(6个月)测量极大地提高了对未经治疗的牙周炎患者较长时间内附着丧失进行建模的能力。