Gesundheitsversorgungsforschung und -epidemiologie
Autoren
Zhan, Yiqiang
Holtfreter, Birte
Meisel, Peter
Hoffmann, Thomas
Micheelis, Wolfgang
Dietrich, Thomas
Kocher, Thomas
Schlagwörter
External validation
Periodontitis
Self-reported measures
Study of Health in Pomerania (SHIP)
The Fourth German Oral Health Study (DMS IV)
Publikation — Zeitschriftenbeiträge
Titel
Prediction of periodontal disease
Untertitel
Modelling and validation in different general German populations
Titel kurz
J Clin Periodontol
Titel Ausgeschrieben
Journal of Clinical Periodontology
ISSN
1600-051X (Electronic); 0303-6979 (Linking)
Jahr
2014
Ausgabe
41
Issue
3
Seitenzahl
224-231
Erscheinungsdatum
01.03.2014
Prediction of periodontal disease
Modelling and validation in different general German populations
AIM: To develop models for periodontitis using self-reported questions and to validate them externally.
METHODS: The Study of Health in Pomerania (SHIP-0) was used for model development. Periodontitis was defined according to the definitions of the Center for Disease Control and Prevention-American Academy of Periodontology, the 5th European Workshop in Periodontology, and Dietrich et al. (>/=2 teeth with inter-proximal clinical attachment loss of >/=4 mm and 6 mm as moderate and severe periodontitis) respectively. These models were validated in SHIP-Trend and the Fourth German Oral Health Study (DMS IV).
RESULTS: Final models included age, gender, education, smoking, bleeding on brushing and self-reported presence of mobile teeth. Concordance-statistics (C-statistics) of the final models from SHIP-0 were 0.84, 0.82 and 0.85 for the three definitions respectively. Validation in SHIP-Trend revealed C-statistics of 0.82, 0.81 and 0.82 respectively. As bleeding on brushing and presence of mobile teeth were unavailable in DMS IV, reduced models were developed. C-statistics of reduced models were 0.82, 0.81 and 0.83 respectively. Validation in DMS IV revealed C-statistics of 0.72, 0.78 and 0.72 for the three definitions respectively. All p values of the goodness-of-fit tests were >0.05.
CONCLUSIONS: The models yielded a moderate usefulness for prediction of periodontitis.
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