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

Table 3.

Baseline Feature Values by TBI Phenotype

 
Phenotype A
Phenotype B
Phenotype C
Phenotype A vs. phenotype C adjusted OR (95% CI)  
Phenotype B vs. phenotype C adjusted OR (95% CI)  
Clinical feature Median (IQR) Median (IQR) Median (IQR) p value p value
Platelet count (1000/μL) 226 (74) 216 (87) 163 (76) 1.02 (1.01–1.03) < 0.0001 1.02 (1.01–1.03) < 0.0001
Hemoglobin (g/dL) 12.4 (1.2) 14.4 (1.4) 10.1 (2.0) 5.76 (4.61–7.19) < 0.0001 6.48 (4.38–9.58) < 0.0001
Prothrombin time (sec) 11 (3.0) 13 (2.8) 14.6 (3.1) 0.48 (0.4–0.56) < 0.0001 1.58 (1.26–1.97) < 0.0001
INR 1.1 (0.1) 1.1 (0.1) 1.2 (0.2) 0.72 (0.44–1.18) 0.19 0.001 (0.0002–0.02) < 0.0001
Hematocrit (%) 37 (3) 42.5 (3) 32 (4.5) 1.73 (1.62–1.85) < 0.0001 6.75 (5.94–7.67) < 0.0001
 Glucose (mg/dL) 127 (36) 128 (36) 145 (43) 0.99 (0.98–0.99) 0.0004 0.99 (0.98–1.0) 0.13

(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 phenotype C 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).

TBI, traumatic brain injury; INR, international normalized ratio; GLRM, generalized low-rank models.