Suppr超能文献

应用2018年牙周状况分类至流行病学调查数据(ACES)框架以估算美国牙周炎患病率

Application of the 2018 Periodontal Status Classification to Epidemiological Survey Data (ACES) Framework to Estimate the Periodontitis Prevalence in the United States.

作者信息

Tay John Rong Hao, Holtfreter Birte, Baumeister Sebastian-Edgar, Peres Marco A, Nascimento Gustavo G

机构信息

Department of Restorative Dentistry, National Dental Centre Singapore, Singapore.

Health Services and Systems Research Programme, Duke-NUS Medical School, Singapore, Singapore.

出版信息

J Clin Periodontol. 2025 Jul;52(7):1032-1043. doi: 10.1111/jcpe.14132. Epub 2025 Feb 3.

Abstract

AIMS

To compare periodontitis prevalence estimates based on the Application of the 2018 periodontal status Classification to Epidemiological Survey data (ACES) and the Centers for Disease Control and Prevention/American Academy of Periodontology (CDC/AAP) classification.

MATERIALS AND METHODS

National Health and Nutrition Examination Survey data for the years 2009/2010, 2011/2012 and 2013/2014 were survey-weighted and post-stratified to estimate the prevalence of periodontitis. Estimates based on ACES and CDC/AAP were cross-classified and stratified by age group. Prevalence estimates using different partial recording protocols were examined.

RESULTS

Using the ACES framework, the prevalence of adults with periodontitis was 93.1% (95% CI: 91.9-94.2) (Stage I: 17.9%; Stage II: 46.2%; Stage III: 16.7%; Stage IV: 12.4%). Complexity factors did not alter Stage II prevalence. The CDC/AAP classification yielded a periodontitis prevalence of 38.9% (95% CI: 36.4-41.4) (Mild: 3.5%; Moderate: 28.1%; Severe: 7.3%). Partial recording protocols resulted in increased prevalence in the lower stages of periodontitis.

CONCLUSIONS

The European Federation of Periodontology/American Academy of Periodontology Classification (using the ACES framework) overestimates periodontitis cases compared with the CDC/AAP classification. Including complexity factors in the ACES framework provides limited benefits in staging periodontitis. Partial-mouth recording protocols overestimate health and early disease stages while underestimating more severe disease.

摘要

目的

比较基于2018年牙周状况分类应用于流行病学调查数据(ACES)和疾病控制与预防中心/美国牙周病学会(CDC/AAP)分类的牙周炎患病率估计值。

材料与方法

对2009/2010年、2011/2012年和2013/2014年的国家健康与营养检查调查数据进行调查加权和事后分层,以估计牙周炎的患病率。基于ACES和CDC/AAP的估计值按年龄组进行交叉分类和分层。检查了使用不同局部记录方案的患病率估计值。

结果

使用ACES框架,牙周炎成人患病率为93.1%(95%CI:91.9 - 94.2)(I期:17.9%;II期:46.2%;III期:16.7%;IV期:12.4%)。复杂因素未改变II期患病率。CDC/AAP分类得出的牙周炎患病率为38.9%(95%CI:36.4 - 41.4)(轻度:3.5%;中度:28.1%;重度:7.3%)。局部记录方案导致牙周炎较低阶段的患病率增加。

结论

与CDC/AAP分类相比,欧洲牙周病学联合会/美国牙周病学会分类(使用ACES框架)高估了牙周炎病例。在ACES框架中纳入复杂因素在牙周炎分期方面益处有限。部分口腔记录方案高估了健康和早期疾病阶段,而低估了更严重的疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6f3/12176459/da7f57fb3828/JCPE-52-1032-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验