Table 4.
Diagnostic Indices and Predictive Values of PopBayes Based on Bayesian Filtering for Prediction of Preterm Delivery
| |
<37 weeks |
<34 weeks |
<32 weeks |
|||
|---|---|---|---|---|---|---|
| Preterm deliverya | For patientsb | For doctorsc | For patientsb | For doctorsc | For patientsb | For doctorsc |
| Match | 81.6 (426/522) | 82.0 (428/522) | 78.7 (411/522) | 84.7 (442/522) | 88.3 (461/522) | 94.3 (492/522) |
| Mismatch | 18.4 (96/522) | 18.0 (94/522) | 21.3 (111/522) | 15.3 (80/522) | 11.7 (61/522) | 5.8 (30/522) |
| Sensitivity | 66.7 (64/96) | 68.8 (66/96) | 57.1 (16/38) | 57.1 (16/38) | 50.0 (7/14) | 64.3 (9/14) |
| Specificity | 85.0 (362/426) | 85.0 (362/426) | 80.0 (395/494) | 86.2 (426/494) | 89.4 (454/508) | 95.1 (483/508) |
| Positive predictive value | 50.0 (64/128) | 50.8 (66/130) | 14.0 (16/115) | 19.0 (16/84) | 11.5 (7/61) | 26.5 (9/34) |
| Negative predictive value | 91.9 (32/394) | 92.4 (30/392) | 97.1 (395/407) | 97.3 (426/438) | 98.5 (454/461) | 99.0 (483/488) |
a
Data are given as percentage (n/N).
b
Sociodemographic data, including maternal age, BMI (body weight and height), parity, history of prior preterm birth, maternal and paternal education, occupation, income, and active and passive smoking, were included in analysis.
c
In addition to sociodemographic data, cervical length, fetal fibronectin, and genetic analysis (PON1) were added to analysis for further counseling with a maternal-fetal medicine specialist.