Table 3.
Model | Quintile 1 | Quintile 2 | Quintile 3 | Quintile 4 | Quintile 5 | P-value for trend |
Wald test p-value |
---|---|---|---|---|---|---|---|
Model 1 | Reference | 1.07 (0.80, 1.44) | 0.69 (0.50, 0.96) | 0.66 (0.46, 0.94) | 0.79 (0.55, 1.13) | 0.01 | 0.01 |
Model 2 | Reference | 1.21 (0.89, 1.64) | 0.78 (0.56, 1.08) | 0.71 (0.49, 1.03) | 0.92 (0.63, 1.34) | 0.07 | 0.02 |
Model 3 | Reference | 1.21 (0.89, 1.63) | 0.77 (0.55, 1.07) | 0.70 (0.49, 1.02) | 0.92 (0.63, 1.35) | 0.07 | 0.02 |
Model 4 | Reference | 1.20 (0.89, 1.62) | 0.78 (0.56, 1.08) | 0.71 (0.49, 1.02) | 0.93 (0.64, 1.36) | 0.08 | 0.02 |
Model 5 | Reference | 1.26 (0.92, 1.72) | 0.78 (0.56, 1.10) | 0.73 (0.50, 1.07) | 0.84 (0.55, 1.28) | 0.04 | 0.02 |
Covariates for each model
Model 1: age, sex, race-center, education levels, APOE ε4 carrier status
Model 2: Model 1 + vascular factors (body mass index, current smoking status, prevalent stroke, diabetes and hypertension status, estimated glomerular filtration rate)
Model 3: Model 2 + coagulants (factor VIII, von Willebrand factor) + platelet count
Model 4: Model 3 + incident stoke as time-varying covariate
Model 5: Model 4 incorporating stabilized weights based on the inverse of propensity scores
P-value for trend was obtained by using the five quintiles of protein C as a continuous variable with values from 1 to 5 Wald test p-values were obtained by testing the joint effects of all five quartiles
P-value for proportional hazards assumption for each quintile variable > 0.1 for all