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

Table 4 Characteristics associated with mortality in patients with acute stroke during 3-months follow-up. HR (hazard ratio). The final model included n = 434 complete cases and 16 events. Median follow-up time was 94 days IQR: 90–101 days)^a. Nagelkerke R² = 0.18

Characteristic	HR	95% CI	p-value
Female sex	1.91	0.60–6.10	0.275
Age, yrs.	1.03	0.97–1.10	0.288
NIHSS categories
0–4	1.0
5–15	0.82	0.22–3.10	0.765
16+	1.39	0.25–7.70	0.705
Pneumonia	5.43	1.22–24.11	0.026
Diabetes mellitus	0.74	0.19–2.88	0.660
Hypertension	0.63	0.15–2.88	0.529
Atrial Fibrillation	1.44	0.46–4.49	0.529
Biomarker
LBP day 1^b (pg/ml)	2.26	0.65–7.90	0.288
mHLA-DR^b (pg/ml)	0.53	0.13–2.07	0.359
IL6^b (pg/ml)	1.97	1.05–3.70	0.034
IL10 (> 5) (pg/ml)	1.02	0.27–3.81	0.979
AUC survival Cox regression model without biomarkers at day 1			0.76 (0.61–0.90)
AUC survival Cox regression model with biomarkers at day 1			0.81 (0.68–0.94)

^aAnalysis was restricted to patients without missing values for the respective variables (N = 437). Variables were eliminated using backward elimination procedure, stepwise excluding all variables with p > 0.200. AUCs were calculated with a cut-off in follow-up time at 90 days.434). Cox regression stratified by centers
^blog-transformed

ISSN: 1471-2377