Table 2.
The predictive accuracy of the developed model for the development of early hypothyroidism at 6 months after radioiodine therapy.
| Prediction models | Prediction model performance (mean and 95% CI) | ||||||
|---|---|---|---|---|---|---|---|
| Accuracy (%) | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | F1 score | MCC | |
| 24-h RAIU | 53.5 (48.7–58.2) | 25.4 (19.9–31.5) | 50.1 (31.9–68.1) | 62.1 (53.1–70.4) | 51.1 (48.7–53.2) | 0.36 | 0.11 | 
| Multi-feature model (training set) | 71.2 (61.9–81.3) | 74.5 (68.3–84.8) | 76.4 (67.8–85.1) | 72.9 (65.1–79.5) | 69.6 (51.4–83.2) | 0.77 | 0.65 | 
| Multi-feature model (validation set) | 74.4 (65.3–83.0) | 70.8 (65.4–79.8) | 73.5 (68.7–82.6) | 75.7 (68.5–84.8) | 77.3 (65.5–86.9) | 0.74 | 0.63 | 
Values calculated by standard 2 × 2 contingency table analysis. Multi-feature model includes patients’ age, thyroid mass, 24-h RAIU, serum AST, TRAb, TMA, and blood neutrophil count.
24-h RAIU, radioactive iodine uptake at 24 h; AST, aspartate aminotransferase; MCC, Matthews correlation coefficient; NPV (%), negative predictive value; PPV (%), positive predictive value; TMA, thyroid microsomal antibodies; TRAb, thyrotropin-receptor antibodies.
 This work is licensed under a
This work is licensed under a