在大型队列研究中使用牙科登记信息和问卷数据评估牙周炎。

IF 6.8 1区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Peter Persson, Magnus Bladh, Stanley Teleka, Aleksandar Milosavljevic, Nils Gustafsson, Eva Levring Jäghagen, Björn Klinge, Kushan De Silva, Niko Vähäsarja, Kåre Buhlin, Peter Nilsson, Marju Orho-Melander, Olle Melander, Aron Naimi-Akbar, Daniel Jönsson
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引用次数: 0

摘要

目的:牙周炎的代理变量使牙周研究的扩展。该研究的目的是评估问卷项目和注册数据的有效性,这些数据与III-IV期牙周炎和50%骨质流失有关。方法:Malmö后代牙科研究(MODS)参与者(995人)填写问卷并进行牙周和全景x线检查。问卷调查项目、牙齿健康登记(DHR)中的牙周治疗程序(PTP)数量以及瑞典龋齿和牙周病质量登记(SKaPa)中牙诊深度≥6 mm的牙齿数量作为严重牙周炎的替代指标进行评估。III-IV期牙周炎为主要参考标准。结果:对于DHR中基于ptp的重度牙周炎代理,III-IV期阳性预测值(PPV)为88%,阴性预测值(NPV)为87%。基于SKaPa的代理显示出较差的阳性预测值(PPVs), DHR和SKaPa代理为90%。结合年龄、性别、吸烟习惯、文化程度等人口学变量,问卷对牙周炎病例的鉴别能力较好(AUC > 0.75)。结论:在大型队列研究中,基于注册的数据可以有效地识别严重牙周炎患者,从而促进牙周研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using Dental Register Information and Questionnaire Data to Assess Periodontitis in Large Cohort Studies

Using Dental Register Information and Questionnaire Data to Assess Periodontitis in Large Cohort Studies

Aim

Periodontitis proxy variables enable an expansion of periodontal research. The study aimed to estimate the validity of questionnaire items and registry data in relation to Stage III–IV periodontitis and having 50% bone loss.

Methods

Malmö Offspring Dental Study (MODS) participants (995) filled out questionnaires and underwent periodontal and panoramic radiography examinations. The questionnaire items, number of periodontal treatment procedures (PTP) in the Dental Health Register (DHR), and number of teeth with ≥ 6 mm probing depth in the Swedish Quality Register for Caries and Periodontal Disease (SKaPa) were evaluated as proxies for severe periodontitis. Stage III–IV periodontitis was the primary reference standard.

Results

For PTP-based severe periodontitis proxy in DHR, positive predictive value (PPV) was 88% and negative predictive value (NPV) 87% for Stage III–IV. The SKaPa-based proxy showed poor positive predictive values (PPVs, < 70%), but similar area under the curve (AUC), 0.74, compared with the DHR data (AUC 0.76). Sensitivity was < 70%, and specificity > 90% for the DHR and SKaPa proxies. Identification of cases with periodontitis by questionnaire combined with the demographic variables age, sex, smoking habits and education yielded good discriminatory ability (AUC > 0.75).

Conclusion

Register-based data can effectively identify individuals with severe periodontitis in large cohort studies, thereby advancing periodontal research.

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来源期刊
Journal of Clinical Periodontology
Journal of Clinical Periodontology 医学-牙科与口腔外科
CiteScore
13.30
自引率
10.40%
发文量
175
审稿时长
3-8 weeks
期刊介绍: Journal of Clinical Periodontology was founded by the British, Dutch, French, German, Scandinavian, and Swiss Societies of Periodontology. The aim of the Journal of Clinical Periodontology is to provide the platform for exchange of scientific and clinical progress in the field of Periodontology and allied disciplines, and to do so at the highest possible level. The Journal also aims to facilitate the application of new scientific knowledge to the daily practice of the concerned disciplines and addresses both practicing clinicians and academics. The Journal is the official publication of the European Federation of Periodontology but wishes to retain its international scope. The Journal publishes original contributions of high scientific merit in the fields of periodontology and implant dentistry. Its scope encompasses the physiology and pathology of the periodontium, the tissue integration of dental implants, the biology and the modulation of periodontal and alveolar bone healing and regeneration, diagnosis, epidemiology, prevention and therapy of periodontal disease, the clinical aspects of tooth replacement with dental implants, and the comprehensive rehabilitation of the periodontal patient. Review articles by experts on new developments in basic and applied periodontal science and associated dental disciplines, advances in periodontal or implant techniques and procedures, and case reports which illustrate important new information are also welcome.
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