Skip to main content

Table 1 Predictive value of the characteristics on univariate analysis

From: Nuclear factor-κB activation in perihematomal brain tissue correlates with outcome in patients with intracerebral hemorrhage

Characteristics Total ( n= 45) Good outcome ( n= 18) Poor outcome ( n= 27) Odds ratio (95% CI) P value
Demographics
  Male sex 29 (64.4) 10 (55.6) 19 (70.4) 1.900 (0.548 to 6.590) 0.309a
  Age, years 53.87 ± 10.78 51.50 ± 10.40 55.44 ± 10.93   0.233b
  GCS score on admission 9 (4) 11 (3.5) 9 (2)   0.004c
Risk factors
  Smoking 14 (31.1) 5 (27.8) 9 (33.3) 1.300 (0.352 to 4.796) 0.693a
  Alcohol abuse 11 (24.4) 5 (27.8) 6 (22.2) 0.743 (0.188 to 2.934) 0.671a
  Hypertension 26 (57.8) 10 (55.6) 16 (59.3) 1.164 (0.348 to 3.885) 0.805a
  Diabetes mellitus 11 (24.4) 4 (22.2) 8 (29.6) 1.474 (0.369 to 5.885) 0.582a
  Coronary heart disease 11 (24.4) 3 (16.7) 8 (29.6) 2.105 (0.475 to 9.338) 0.322a
  COPD 5 (11.1) 1 (5.6) 4 (14.8) 2.957 (0.303 to 28.882) 0.333a
Radiologic variables
  Hematoma volume, ml 59.44 ± 14.26 52.17 ± 13.10 64.30 ± 13.06   0.004b
  Intraventricular extension 18 (40.0) 4 (22.2) 14 (51.9) 3.769 (0.984 to 14.443) 0.047a
  Hydrocephalus 10 (22.2) 2 (11.1) 8 (29.6) 3.368 (0.624 to 18.185) 0.143a
  Midline shift ≥1 cm 24 (53.3) 5 (27.8) 19 (70.4) 6.175 (1.647 to 23.148) 0.005a
  Brain edema 13 (28.9) 3 (16.7) 10 (37.0) 2.941 (0.680 to 12.730) 0.140a
Hospitalizations
  Mechanical ventilation 14 (31.1) 2 (11.1) 12 (44.4) 6.400 (1.224 to 33.482) 0.018a
  Pneumonia 20 (44.4) 3 (16.7) 17 (63.0) 8.500 (1.964 to 36.790) 0.002a
NF-κB activation 54.38 ± 20.97 37.11 ± 16.51 65.89 ± 14.91 2.929 (1.616 to 5.311)d 0b
  1. aChi-square test for categorical variables, data was expressed as n (%); bStudent’s t-test for normally distributed continuous variables, data was expressed as mean ± SD; cMann-Whitney U test for non-normally distributed continuous variables, data was expressed as median (IQR); dThe numbers of nucleus NF-κB p65-positive cells were stratified by 10, and OR (95% CI) was calculated according to the binary logistic regression analysis.