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. 2020 Sep 11;4(18):4327–4332. doi: 10.1182/bloodadvances.2020002861

Table 2.

Univariate and multivariable logistic regression model for predictors of bleeding

Variable Univariable logistic regression Multivariable logistic regression
OR (95% CI) P OR (95% CI) P
sGPVI
 <43 ng/mL 1 (Ref) 1 (Ref)
  ≥43 ng/mL 4.59 (2.65-7.96) <.001 2.81 (1.51-5.23) .001
ICU status*
 No 1(Ref) 1 (Ref)
 Yes 4.18 (2.37-7.36) <.001 2.76 (1.46-5.21) .002
Sepsis
 No 1 (Ref) 1 (Ref)
 Yes 2.89 (1.64-5.10) <.001 2.27 (1.13-4.56) .021
Cardiopulmonary bypass surgery
 No 1 (ref) 1 (Ref)
 Yes 1.79 (1.04- 3.07) .036 1.50 (0.76-2.93) .238
Platelet count, ×109/L
  ≥151 1 (Ref) 1 (Ref)
 150-100 1.44 (0.44-4.67) .542 0.89 (0.25- 3.22) .858
 50-100 1.26 (0.42-3.74) .680 0.86 (0.26- 2.81) .801
  ≤49 3.58 (1.20-10.66) .222 1.72 (0.52- 5.66) .376

Ref, reference.

*

Hospitalized in a medical or surgical critical care unit at time of enrollment in study.

International Classification of Diseases, Ninth Revision, code for sepsis during hospitalization sGPVI level as drawn.

Platelet count on day of sGPVI blood draw.