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. 2018 Feb 26;8(2):2045894018759246. doi: 10.1177/2045894018759246

Table 3.

Performance characteristics for claims algorithms in the hemodynamic diagnosis of PAH: Development cohort.

Sensitivity (%) Specificity (%) PPV (%) NPV (%) Odds ratio* (95% CI) C-statistic* (95% CI)
Claims-based algorithms
 ICD-9-CM codes 416.0 and 416.8 9.34
 ICD codes + at least one PAHRx 67.44 86.91 34.67 96.29 13.61 (7.69–24.09) 0.84 (0.79–0.90)
 ICD codes + two or more classes PAHRx 28.23 98.56 66.86 93.03 26.87 (11.43–63.14) 0.66 (0.60–0.73)
EMR-based algorithms
 ICD codes + EMR encounter dx 76.85 77.07 25.65 97.00 11.16 (6.08–20.49) 0.67 (0.63–0.72)
 ICD codes + EMR encounter dx + echo 76.85 78.20 26.63 97.04 11.91 (6.48–21.89) 0.69 (0.64–0.73)
 ICD codes + EMR encounter dx + echo + RHC 76.85 91.44 48.04 97.46 35.38 (18.60–67.32) 0.86 (0.82–0.90)
 ICD codes + EMR encounter dx + echo + RHC + PAHRx 67.44 96.93 69.35 96.66 65.52 (32.76–131.08) 0.87 (0.82–0.93)
 ICD codes + EMR encounter dx + PAHRx 67.44 96.45 66.15 96.64 56.31 (28.72–110.40) 0.87 (0.81–0.92)
*

Odds ratio and C-statistic came from a logistic regression model with the predictor based on the algorithm.

dx, diagnosis; EMR, electronic medical records; RHC, right heart catheterization; PAHRx, PAH-specific therapies; PPV, positive predictive value; NPV, negative predictive value.