A patient-reported questionnaire developed in a German early arthritis cohort to assess periodontitis in patients with rheumatoid arthritis

Table 3 Diagnostic properties of logistic regression models

Model	Severity of detected PD	Reference standard: dentist’s assessment			Bias-corrected AUC	AUC of the original model applied on radiograph scoring data
Model	Severity of detected PD	Sensitivity (%)	Specificity (%)	AUC	Bias-corrected AUC
Age + number of teeth	Mild, moderate or severe versus no	86.0	48.6	0.73	0.73	0.82
	Moderate or severe versus no or mild	80.3	64.1	0.78	0.77	0.72
	Severe versus no, mild or moderate	86.1	78.1	0.86	0.85	0.66
Age + 6 patient-reported items	Mild, moderate or severe versus no	64.2	88.5	0.82	0.81	0.88
	Moderate or severe versus no or mild	72.8	80.7	0.85	0.83	0.83
	Severe versus no, mild or moderate	96.6	81.5	0.92	0.90	0.77

Sensitivities, specificities and AUCs to detect different levels of severity of PD in the simple model and in the model including six questionnaire items. The table also shows the AUCs of these models after correction for overoptimism with bootstrap methods and the AUCs of the models if the independent assessment of PD with radiographs is used as a reference standard

ISSN: 1478-6362