Table 3 Multivariable logistic regression model for predicting probable PTSD 6 Months post-injury (N = 1143).

From: Association of day-of-injury plasma glial fibrillary acidic protein concentration and six-month posttraumatic stress disorder in patients with mild traumatic brain injury

 

OR (95% CI)

p-value

Age

0.995 (0.986, 1.006)

0.322

Sex Female vs Male

1.425 (1.019, 1.994)

0.039

Race Black vs non-Black

2.816 (1.935, 4.098)

<0.001

Injury cause Violence vs Incident/other

2.656 (1.489, 4.736)

<0.001

Psychiatric history Yes vs No

2.408 (1.702, 3.406)

<0.001

Prior TBI Yes vs No

1.586 (1.138, 2.211)

0.007

CT + vs −

0.837 (0.555, 1.262)

0.395

Sampling Time

 9–16h vs 0–8h

1.347 (0.826, 2.196)

0.232

 17–24h vs 0–8h

1.800 (1.104, 2.934)

0.019

GFAP (in log scale)

0.851 (0.766, 0.946)

0.003

hsCRP (in log scale)

1.105 (0.977, 1.251)

0.113

  1. AUC = 0.723, 95% CI: (0.682, 0.76); Nagelkerke’s pseudo-R-squared = 0.168; likelihood ratio test comparing this model to the model without biomarkers and sampling time showed p-value < 0.001.
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