Table 3.
Multivariate logistic regressions for the primary endpoint.
| Multivariate logistic regressions for the primary endpoint | |||
|---|---|---|---|
| Death/ICU/Hospit>10d/Oxy (n=227, 14%) |
|||
| Model A | Model B | Model C | |
| OR 95% CIa | OR 95% CIa | OR 95% CIa | |
| Sex (ref. women) | |||
| Men | 1.47[1.01;2.15] | 1.17[0.77;1.77] | 1.00[0.64;1.55] |
| Age (ref. 18-44 years) | |||
| 45-64 years | 4.29[2.22;8.30] | 2.30[1.14;4.61] | 2.35[1.16;4.77] |
| >64 years | 15.34[7.60;30.97] | 8.76[4.18;18.34] | 6.85[3.21;14.61] |
| Hypertension | 1.65[1.09;2.50] | 1.44[0.90;2.29] | 1.94[1.19;3.16] |
| Diabetes mellitus | 1.27[0.78;2.07] | 1.06[0.61;1.84] | 0.97[0.54;1.73] |
| Cancer | 2.20[1.09;4.43] | 2.21[1.04;4.67] | 2.34[1.06;5.20] |
| Respiratory diseases | 0.81[0.46;1.43] | 0.80[0.41;1.56] | 0.99[0.52;1.88] |
| Cardiac diseases | 1.89[1.10;3.24] | 1.99[1.08;3.66] | 1.52[0.79;2.92] |
| Time between symptoms/LDCT (ref. ≤ 7 days) | |||
| > 7 days | 1.08[0.73;1.59] | 0.71[0.46;1.10] | 0.86[0.54;1.37] |
| CT-SS | 3.02[2.44;3.73] | ||
| Automatic lesion extent | 3.86[2.96;5.05] | ||
| C statistic (95% CI)b | 0.82 [0.79-0.88] | 0.89 [0.85-0.93] | 0.90 [0.86-0.94] |
Note — a: Adjusted odds ratios with 95% confidence intervals. b: The C-statistic is a measure of goodness of fit for binary outcomes in a logistic regression model. It is equal to the area under the receiver operating characteristic (ROC) curve and ranges from 0.5 to 1.
Models were based on the training set of the prognostic value dataset (n=1135), and the C-statistic was estimated on the validation set (n=486) of the prognostic value dataset. All scores were standardized (mean=0, standard deviation=1) prior to the analysis. LCDT: low-dose computed tomography; ICU: intensive care unit.