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. Author manuscript; available in PMC: 2024 Sep 1.
Published in final edited form as: Thromb Res. 2023 Jul 20;229:198–208. doi: 10.1016/j.thromres.2023.07.011

Table 6:

Multivariable linear regression of predictor variables and anti-PF4/heparin antibodies

Trait Beta [Standard Error] P-value
Univariate Regression
McMaster
 Sex (female) 0.074 [0.02262] 0.001
 Age (per year) 0.0016 [0.0007742] 0.0398
 Surgery 0.082 [0.02829] 0.00384
Greifswald
 Sex (female) −0.009 [0.02327] 0.708
 Age (per year) −0.0005 [0.0008267] 0.566
Tours
 Sex (female) 0.434 [0.07069] 1.30x10−9
 Age (per year) −0.007 [0.002727] 0.00649
 Unfractionated Heparin (vs. LMWH) −1.515 [0.1516] <2*10−16
 Platelet Count Before Heparin Therapy (1x109 platelets/L) 0.002 [0.0005177] 0.000739
Stepwise Regression (Final Model)
McM aster
 Sex (female) 0.075 [0.023] 0.000886
 Age (per year) 0.0017 [0.0007742] 0.03
Greifswald
 Immunoglobulin A (IgA) 0.5887 [0.0248] <2*10−16
 Immunoglobulin M (IgM) 0.3741 [0.0304] <2*10−16
Tours
 Sex (female) 0.399 [0.067] 3.54*10−9
 Age (per year) −0.008 [0.003] 0.0016
 Unfractionated Heparin (vs. LMWH) −1.462 [0.155] <2*10−16

Association of variables with anti-PF4/heparin antibody levels. Betas (β) and P-values are presented for each variable present in the respective cohorts. For example, surgery status was not available in the Greifswald cohort and as such no regression summary statistics are available for that variable. In each cohort, the model was adjusted for all variable provided in each respective row.