Table 3.
Positive predictive value of the idiopathic pulmonary fibrosis algorithm for identifying cases with an adjudicated diagnosis of idiopathic pulmonary fibrosis, with sensitivity analyses for alternative case classification methods
| Case Definition | PPV of IPF Algorithm (95% CI) |
|
|---|---|---|
| Sample 1 (n = 71) | Sample 2 (n = 70) | |
| Primary analysis |
|
|
| Adjudicated diagnosis of IPF | 42.2 (30.6–54.6) | 48.6 (36.4–60.8) |
| Sensitivity analyses | ||
| Adjudicated diagnosis of IPF or unclassifiable | 57.7 (45.4–69.4) | 65.7 (53.4–76.7) |
| Treating clinician chart diagnosis | 49.3 (37.2–61.4) | 47.1 (35.0–59.4) |
| Any ILD based on expert CT image review | 76.1 (64.4–85.4) | 85.7 (75.3–92.9) |
Definition of abbreviations: CI = confidence interval; CT = computed tomographic; ILD = interstitial lung disease; IPF = idiopathic pulmonary fibrosis; PPV = positive predictive value.