Skip to main content

Table 2 Characteristics associated with poor outcome (mRS 3–6): OR 95% credible intervals of final multivariable mixed logistic regressiona (n = 357), using Bayesian approach with informative prior for pneumonia

From: Biomarkers of immune capacity, infection and inflammation are associated with poor outcome and mortality after stroke - the PREDICT study

Characteristic

OR

95% CI

Female sex

1.47

0.80–2.42

Age (yrs)

1.07

1.04–1.10

Pneumonia

50.34

5.38–230.85

NIHSS categories

 0–4

1.00

 

 5–15

3.01

1.94–5.02

 16+

14.43

5.09–33.92

Diabetes mellitus

3.21

1.75–5.32

Hypertension

0.90

0.37–1.86

Atrial fibrillation

0.72

0.40–1.19

Biomarker

 mHLA-DR day 1a (pg/ml)

0.42

0.28–0.59

 LBP day 1a (pg/ml)

1.64

0.89–2.85

 IL6a (pg/ml)

1.19

0.88–1.59

 IL10 (> 5) (pg/ml)

1.48

0.76–2.72

  1. Analysis was restricted to patients without missing values for all variables including mRS at 3 month (N = 357). Logistic mixed regression was performed using a Bayesian approach and an informative prior for pneumonia. (informed by Firth logit model without random effects for centers: normal prior with mean 1 and variance 2.5), MCMC sample size: 100.000, Burn in: 10.000)
  2. aSkewed variables were log transformed before entering the analysis, OR and 95% credible interval are given for the log transformed values