TABLE 3.
Area Under the Curve of Biomarker Combinations Selected by Least Absolute Shrinkage and Selection Operator Regression for Primary and Secondary Endpoints
| Primary Endpoint | Biomarkersa | Area Under the Curve (95% CI) |
|---|---|---|
| Sepsis within 96 hr | Procalcitonin | 0.86 (0.79–0.93) |
| Secondary Endpoints | Biomarkersa | Area Under the Curve (95% CI) |
|---|---|---|
| Septic shock within 96 hr | Procalcitonin, proADM | 0.86 (0.67–0.93) |
| 28-d mortality | proADM, bioADM, dipeptidyl peptidase 3 | 0.74 (0.57–0.91) |
| Hospital mortality | proADM | 0.75 (0.56–0.93) |
| ICU admission | proADM, bioADM | 0.68 (0.57–0.79) |
| Vasopressors | Procalcitonin, proADM | 0.77 (0.62–0.93) |
| Ventilation | Procalcitonin, proADM, bioADM | 0.66 (0.50–0.82) |
| Dialysis | penKid | 0.82 (0.59–1.00) |
| Acute kidney failure | proADM, penKid | 0.88 (0.80–0.95) |
| Oliguria | proADM | 0.84 (0.68–1.00) |
| Length of hospital stay | proADM, bioADM | 0.02b |
| Length of ICU stay | Procalcitonin, proADM, bioADM | 0.07b |
bioADM = bioavailable adrenomedullin, penKid = proenkephalin, proADM = proadrenomedullin.
Predictive biomarkers after variable selection in least absolute shrinkage and selection operator (LASSO) regression.
Coefficient of determination in the linear LASSO regression model.