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牙周炎炎症表面积作为一种描述牙周状况的新型数值变量。

Periodontal inflamed surface area as a novel numerical variable describing periodontal conditions.

作者信息

Park Shin-Young, Ahn Soyeon, Lee Jung-Tae, Yun Pil-Young, Lee Yun Jong, Lee Joo Youn, Song Yeong Wook, Chang Yoon-Seok, Lee Hyo-Jung

机构信息

Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Korea.

Division of Statistics, Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Korea.

出版信息

J Periodontal Implant Sci. 2017 Oct;47(5):328-338. doi: 10.5051/jpis.2017.47.5.328. Epub 2017 Oct 30.

DOI:10.5051/jpis.2017.47.5.328
PMID:29093989
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5663669/
Abstract

PURPOSE

A novel index, the periodontal inflamed surface area (PISA), represents the sum of the periodontal pocket depth of bleeding on probing (BOP)-positive sites. In the present study, we evaluated correlations between PISA and periodontal classifications, and examined PISA as an index integrating the discrete conventional periodontal indexes.

METHODS

This study was a cross-sectional subgroup analysis of data from a prospective cohort study investigating the association between chronic periodontitis and the clinical features of ankylosing spondylitis. Data from 84 patients without systemic diseases (the control group in the previous study) were analyzed in the present study.

RESULTS

PISA values were positively correlated with conventional periodontal classifications (Spearman correlation coefficient=0.52; <0.01) and with periodontal indexes, such as BOP and the plaque index (PI) (=0.94; <0.01 and =0.60; <0.01, respectively; Pearson correlation test). () expression and the presence of serum antibodies were significant factors affecting PISA values in a simple linear regression analysis, together with periodontal classification, PI, bleeding index, and smoking, but not in the multivariate analysis. In the multivariate linear regression analysis, PISA values were positively correlated with the quantity of current smoking, PI, and severity of periodontal disease.

CONCLUSIONS

PISA integrates multiple periodontal indexes, such as probing pocket depth, BOP, and PI into a numerical variable. PISA is advantageous for quantifying periodontal inflammation and plaque accumulation.

摘要

目的

一种新的指标,即牙周炎症表面积(PISA),代表探诊出血(BOP)阳性部位的牙周袋深度总和。在本研究中,我们评估了PISA与牙周分类之间的相关性,并将PISA作为整合离散传统牙周指标的一个指标进行了检验。

方法

本研究是一项对前瞻性队列研究数据的横断面亚组分析,该队列研究调查慢性牙周炎与强直性脊柱炎临床特征之间的关联。本研究分析了84例无全身疾病患者(先前研究中的对照组)的数据。

结果

PISA值与传统牙周分类呈正相关(Spearman相关系数 = 0.52;P < 0.01),与牙周指标如BOP和菌斑指数(PI)也呈正相关(分别为r = 0.94;P < 0.01和r = 0.60;P < 0.01;Pearson相关检验)。在简单线性回归分析中,()表达和血清抗体的存在是影响PISA值的显著因素,同时还有牙周分类、PI、出血指数和吸烟,但在多变量分析中并非如此。在多变量线性回归分析中,PISA值与当前吸烟量、PI和牙周疾病严重程度呈正相关。

结论

PISA将多个牙周指标,如探诊袋深度、BOP和PI整合为一个数值变量。PISA有利于量化牙周炎症和菌斑堆积。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/5663669/ca1a7c414344/jpis-47-328-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/5663669/5d21d11308bb/jpis-47-328-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/5663669/1427f854a8b7/jpis-47-328-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/5663669/ca1a7c414344/jpis-47-328-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/5663669/5d21d11308bb/jpis-47-328-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/5663669/1427f854a8b7/jpis-47-328-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/5663669/ca1a7c414344/jpis-47-328-g003.jpg

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American Academy of Periodontology Task Force Report on the Update to the 1999 Classification of Periodontal Diseases and Conditions.美国牙周病学会牙周疾病和状况1999年分类更新特别工作组报告
J Periodontol. 2015 Jul;86(7):835-8. doi: 10.1902/jop.2015.157001. Epub 2015 May 27.
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Periodontitis and Porphyromonas gingivalis in patients with rheumatoid arthritis.
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Advanced machine learning for estimating vascular occlusion percentage in patients with ischemic heart disease and periodontitis.用于估计缺血性心脏病和牙周炎患者血管闭塞百分比的先进机器学习方法。
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