Table 3 |
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|
Results of ROC curve analysis and contingency table analysis for NT-proBNP and PFT |
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|
Variable |
Comparison groups |
Optimal cut point |
Sensitivity (95% CI) |
Specificity (95% CI) |
+LR |
-LR |
AUC |
|
|
|||||||
|
NT-proBNP (ng/ml) |
PAH versus control |
≥ 209.8 |
92.9% (64.1%-99.6%) |
100% (85.9%-99.7%) |
- |
0.07 (0.01-0.47) |
0.93 (0.80-1.0) |
|
|
|||||||
|
PAH versus ILD |
≥ 360.5 |
85.7% (56.2%-97.0%) |
100.0% (71.8%-99.5%) |
- |
0.14 (0.04-0.52) |
0.92 (0.78-1.0) |
|
|
|
|||||||
|
DLCOcorr% |
PAH versus control |
< 70.3 |
100% (73.2%-99.3%)a |
100% (85.7%-99.7%)a |
- |
- |
1.0 |
|
|
|||||||
|
PAH versus ILD |
Nil |
- |
- |
- |
- |
0.42 (0.22-0.63) |
|
|
|
|||||||
|
FVC/DLCO |
PAH versus control |
≥ 1.66 |
64.3% (35.6%-86.0%) |
96.7% (80.9%-99.8%) |
19.3 (2.7- .) |
0.37 (0.18-0.75) |
0.90 (0.78-1.0) |
|
|
|||||||
|
PAH versus ILD |
≥ 1.82 |
50.0% (24.0%-76.0%) |
94.4% (70.6%-99.7%) |
9.0 (1.2-64.9) |
0.53 (0.31-0.90) |
0.71 (0.51-0.90) |
|
|
|
|||||||
|
DLCO < 70.3% and FVC/DLCO ≥ 1.82 |
PAH versus control |
- |
50.0% (24.0%-76.0%) |
100% (85.9%-99.7%) |
- |
0.63 (0.43-0.91) |
- |
|
|
|||||||
|
PAH versus ILD |
- |
50.0% (24.0%-76.0%) |
94.4% (70.6%-99.7%) |
6.75 (0.9-50.2) |
0.66 (0.45-0.98) |
- |
|
|
|
|||||||
|
DLCO < 70.3% and FVC/DLCO ≥ 1.82 (A) and/or NT-proBNP ≥ 209.8 (B) |
PAH versus control |
- |
100% (73.2%-99.3%)a |
100% (85.9%-99.7%)a |
- |
- |
- |
|
|
|||||||
|
PAH versus ILD |
- |
100% (73.2%-99.3%)a |
77.8% (51.9%-92.6%) |
4.50 (1.90-10.7) |
- |
- |
|
|
|
|||||||
|
DLCO, diffusing capacity of lungs for carbon monoxide, % predicted; FVC, forced vital capacity, % predicted; ILD, interstitial lung disease; NT-proBNP, N-terminal pro brain natriuretic peptide; PAH, pulmonary arterial hypertension; (A) and (B) refer to the two components of the "composite" screening model. aBecause of the relatively small sample size, the upper limit of the 95% CI approximates but does not equal 100%. |
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|
Thakkar et al. Arthritis Research & Therapy 2012 14:R143 doi:10.1186/ar3876 |
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