Table 3 Discriminatory performance of applied Cox regression models.

From: T-cell biomarkers improve urinary tract infection risk stratification beyond clinical characteristics after acute traumatic spinal cord injury

Model/Study

14 days

21 days

42 days

84 days

COaT-SCI Study

    

Clinical model, n = 295

0.66

0.64

0.61

0.61

SCIentinel Study

    

Basic model, n = 70

0.69

0.68

0.65

-

CD8 + T-cells, n = 64

0.78

0.76

0.74

-

IFN-γ/IL-4 ratio, n = 63

0.75

0.73

0.70

-

mHLA-DR, n = 64

0.77

0.76

0.74

-

  1. Weighted concordance indices at different time points after SCI for Cox regression models analysing first UTI. The COaT-SCI study model included clinical characteristics (age, sex, NLI, AIS, accompanying injury, PI, pressure ulcer, Charlson Comorbidity Index). The SCIentinel study models included clinical variables (basic model: age, sex, NLI, AIS, accompanying injury, PI) plus one biomarker as indicated. Complete biomarker results are in Supplementary Table S5; the Incident/dynamic AUCs are shown in Supplementary Fig. S2.
  2. Abbreviations: AIS, American Spinal Injury Association Impairment Scale; AUC, area under the receiver operating characteristic curve; mHLA-DR = monocytic Human Leukocyte Antigen-DR; NLI, neurological level of injury; PI,  pulmonary infection.
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