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. 2020 May 27;37(12):1431–1444. doi: 10.1089/neu.2019.6705

Table 4.

Baseline Feature Values by Baseline GCS Injury Severity Category

 
Severe (GCS score ≤8)
Moderate (GCS score 9–12)
Complicated mild (GCS score 13–15)
Severe vs. complicated mild adjusted OR (95% CI)  
Moderate vs. complicated mild adjusted OR (95% CI)  
Clinical feature Median (IQR) Median (IQR) Median (IQR) p value p value
Platelet count (1000/μL) 206 (93) 209 (83) 206 (82) 1.00 (0.99–1.08) 0.07 1.00 (1.00–1.01) 0.03
Hemoglobin (g/dL) 12.6 (3) 12.5 (3.1) 12.7 (3.2) 0.94 (0.82–1.08) 0.37 0.94 (0.81–1.10) 0.43
Prothrombin time (sec) 13.1 (3.8) 13.1 (3.3) 12.4 (3.3) 1.00 (0.89–1.13) 0.92 1.06 (0.93–1.20) 0.40
INR 1.1 (0.20) 1.1 (0.15) 1.05 (0.12) 4.37 (1.10–17.42) 0.04 1.15 (0.26–5.01) 0.85
Hematocrit (%) 38 (7) 38 (6.5) 38 (6.5) 1.05 (1.00–1.11) 0.05 1.03 (0.98–1.09) 0.24
Glucose (mg/dL) 132 (41) 136 (40) 132 (30) 1.00 (0.99–1.01) 0.65 1.00 (0.99–1.01) 0.24

Patients were divided into the injury severity groups complicated mild, moderate, and severe based on average acute Glasgow Coma Scale (GCS) score (< 24 h after injury). (Columns 1–3) The median and interquartile range (IQR) of GLRM-selected baseline features in each phenotype, respectively. (Columns 4, 6) Multinomial logistical regression was used to calculate the adjusted odds ratio (OR) and 95% confidence intervals (CI) for the likelihood of phenotype membership based on the GLRM-selected predictor features, where the complicated mild injury severity group is the reference outcome variable. (Columns 5, 7) Wald tests were used to calculate p values for each regression coefficient (p < 0.05 considered significant, bold font).

INR, international normalized ratio; GLRM, generalized low-rank models.