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. 2022 Apr 22;11(5):e220119. doi: 10.1530/EC-22-0119

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.