Table 3 Logistic regression models for predicting total periodontitis (moderate and severe combined) and their performance
From: A rapid, non-invasive tool for periodontitis screening in a medical care setting
Predictor | Model 1: Questionnaire, demographic data and biomarkers | Model 2: Questionnaire and demographic data | Model 3: Questionnaire only | ||||||
|---|---|---|---|---|---|---|---|---|---|
Contributing to model | Reference category | B | Contributing to model | Reference category | B | Contributing to model | Reference category | B | |
Predictor | |||||||||
Q1. Gum disease | |||||||||
Q2. Own teeth/gum health | + | Negative | 1.800 | + | Negative | 1.692 | + | Negative | 1.686 |
Q3. Gum treatment | + | Yes | 1.367 | + | Yes | 1.286 | + | Yes | 1.584 |
Q4. Loose teeth | + | Yes | 1.774 | + | Yes | 1.560 | + | Yes | 1.969 |
Q5. Lost bone | |||||||||
Q6. Tooth appearance | |||||||||
Q7. Floss use | |||||||||
Q8. Mouthwash use | + | 1–7 days | 1.005 | + | 1–7 days | 1.075 | + | 1–7 days | 0.846 |
Age (years) | + | > 39 | 2.206 | + | > 39 | 2.209 | |||
Sex | |||||||||
Smoking | |||||||||
Albumin concentration | |||||||||
Chitinase activity | + | n/a | 0.394 | ||||||
Protease activity | + | n/a | 0.094 | ||||||
Model performance | |||||||||
AUROCC (95% CI) | 0.91 (0.86–0.96) | 0.88 (0.82–0.93) | 0.81 (0.74–0.88) | ||||||
Predicted probability cut-off | 0.662 | 0.678 | 0.623 | ||||||
Hosmer-Lemeshow | 0.777 | 0.910 | 0.937 | ||||||
Sensitivity (95% CI), (%) | 80 (71–87) | 78 (69–86) | 85 (78–92) | ||||||
Specificity (95% CI), (%) | 88 (76–95) | 84 (71–93) | 63 (49–76) | ||||||
PPV (95% CI), (%) | 93 (86–97) | 91 (84–95) | 82 (75–89) | ||||||
NPV (95% CI), (%) | 69 (59–77) | 66 (57–74) | 68 (55–81) | ||||||