Table 1 Handling of missing SOFA scores in the total sample, calibration sample, and validation sample
Type of missing SOFA data | Interpolation and extrapolation rules used to fill in missing data |
|---|---|
Data have never been measured | Use the baseline SOFA value for every day |
Data are missing between two known values | Linearly interpolate between the values |
Data are missing before the first observation | Use the baseline SOFA value for every day until the first observation |
Data are missing after the last observation and the patient died | Assign the highest SOFA score (4) to the last day. Linearly interpolate between the last observation value and the last day value |
Data are missing after the last observation and the patient was discharged | Assign the baseline SOFA value to the last day. Linearly interpolate between the last observation value and the last day value |
Data are missing after the last observation and the patient was still in the hospital at day 30 | Carry the last observation forward |