Modeling the relationship between clinical, microbiologic, and immunologic parameters and alveolar bone levels in an elderly population.
Modeling the relationship between clinical, microbiologic, and immunologic parameters and alveolar bone levels in an elderly population.
复制标题
DOI：
10.1902/jop.1994.65.1.68
复制
发表时间：
1994
影响因子：
4.3
通讯作者：
Timothy T. Wheeler;W P McArthur;Ingvar Magnussen;R. G. Marks;Jerry Smith;David C. Sarrett;Bradley S. Bender;William B. Clark
中科院分区：
文献类型：
--
作者：
Timothy T. Wheeler;W P McArthur;Ingvar Magnussen;R. G. Marks;Jerry Smith;David C. Sarrett;Bradley S. Bender;William B. Clark
对74名年龄在65至75岁的受试者进行了横断面牙周研究。收集临床数据，并与微生物和免疫学数据相关。最初仅使用临床数据创建骨丢失相关因素的统计模型（逐步多元回归）;然后添加微生物或免疫学数据;然后一起使用临床，微生物和免疫学数据。当仅考虑临床数据时，发现三个因素与骨丢失呈显著正相关。牙松动度占牙槽骨水平测量变异性的17%，探测深度为12%（r2），牙菌斑指数为3%，这些临床因素解释的变异性总计为32%。牙齿松动度和探测深度是临床因素，在模型中仍然显着时，微生物数据也被考虑。以占总可培养菌群的百分比计，E.腐蚀菌（r2 = 14%）和黑色中间普雷沃菌（r2 = 4%）与牙槽骨丢失呈正相关。添加微生物数据仅将r2增加至33%。当免疫学数据与临床数据一起考虑时，袋深度和牙齿移动度是保留在模型中的临床参数。牙龈卟啉单胞菌W83和/或381的IgG抗体水平（r2 = 24%）。伴放线菌627（r2 = 2%）是与骨丢失呈正相关的显著免疫指标。抗F.核质水平呈显著负相关。通过添加龈下菌斑微生物的特异性血清抗体水平，该模型中牙槽骨水平的变异性占总数的50%。当临床、微生物和免疫学指标综合考虑时，牙龈卟啉单胞菌W83和/或381抗体（r2 = 42%）、B淋巴细胞百分比（r2 = 3%）、探诊深度（r2 = 4%）、抗E.抗P. gingivalis 33277抗体（r2 = 4%）与牙槽骨丢失呈显著正相关。肠道细菌数、抗F。具核细胞水平和抗中间型疟原虫水平均与牙槽骨高度呈显著负相关。该模型的r2为75%。这些结果表明，龈下菌斑微生物抗体水平和牙齿松动度是本研究中测试的老年患者骨丢失的最佳预测因子。
A cross-sectional periodontal study of 74 subjects aged 65 to 75 years was performed. Clinical data were collected and related to microbiological and immunological data. A statistical model (step-wise multiple regression) of factors related to bone loss was created initially using clinical data only; then by adding either the microbiologic or immunologic data; and then by using clinical, microbiologic, and immunologic data together. When only clinical data were considered, three factors were found to have significant positive correlations with bone loss. Tooth mobility accounted for 17% of the variability in the alveolar bone level measurements, probing depth for 12%(r2), and plaque index for 3%, for a total of 32% of the variability explained by these clinical factors. Tooth mobility and probing depth were clinical factors which remained significant in the model when the microbiological data were also considered. As percentages of the total cultivable microbiota, E. corrodens (r2 = 14%) and black-pigmenting Prevotella intermedia (r2 = 4%) correlated positively with alveolar bone loss. The addition of the microbiologic data only increased the r2 to 33%. When immunological data were considered with the clinical data, pocket depth and tooth mobility were the clinical parameters which remained in the model. IgG antibody levels to P. gingivalis W83 and/or 381 (r2 = 24%) A. actinomycetemcomitans 627 (r2 = 2%) were the significant immunologic measures having a positive correlation with bone loss. Anti-F. nucleatum levels had a significant negative correlation. A total of 50% of the variability in alveolar bone level was accounted for in the model by the addition of specific serum antibody levels to subgingival plaque microorganisms. When clinical, microbiological, and immunological measurements were all considered together, antibody to P. gingivalis W83 and/or 381 (r2 = 42%), percentage of B-lymphocytes (r2 = 3%), probing depth (r2 = 4%), anti-E. corrodens levels (r2 = 2%), and anti-P. gingivalis 33277 levels (r2 = 4%) all had significant positive correlation with loss of alveolar bone. The number of enteric bacteria, anti-F. nucleatum levels, and anti-P. intermedia levels each had a significant negative correlation with alveolar bone heights. The r2 for this model was 75%. These results indicated that antibody levels to subgingival plaque microorganisms and tooth mobility were the best predictors of bone loss in the elderly patients tested in this study.