Table 2 Predictive performance of the integrated multivariate Cox proportional-hazard regression model with different entry levels for pathway-specific PRSs included for feature selection by LASSO method. The seven clinical risk factors include AFib, BMI, CAD, diabetes, dyslipidemia, hypertension, and smoking.

From: Predicting mortality among ischemic stroke patients using pathways-derived polygenic risk scores

Univariate p value cutoff

Features Input

Features selected (LASSO)

C-Index Mean ± SE [95%CI]

median improvement against base model

 < 0.1

31 PRSs + Age

24 PRSs + Age

0.705 ± 0.035 [0.637–0.773]

 < 0.001

 < 0.05

20 PRSs + Age

16 PRSs + Age

0.684 ± 0.033 [0.619–0.749]

 < 0.001

 < 0.025

9 PRSs + Age

8 PRSs + Age

0.661 ± 0.036 [0.592–0.731]

0.027

 < 0.01

3 PRSs + Age

2 PRSs + Age

0.643 ± 0.034 [0.575–0.710]

0.233

base model

0 PRSs + Age

0 PRSs + Age

0.626 ± 0.024 [0.578–0.674]

NA

 < 0.1

31 PRSs + Age + 7

16 PRSs + Age + 7 clinical risk factors

0.754 ± 0.031 [0.693–0.814]

 < 0.001

 < 0.05

20 PRSs + Age + 7

11 PRSs + Age + 7 clinical risk factors

0.751 ± 0.030 [0.693–0.809]

0.02

 < 0.025

9 PRSs + Age + 7

6 PRSs + Age + 7 clinical risk factors

0.740 ± 0.030 [0.680–0.799]

0.066

 < 0.01

3 PRSs + Age + 7

2 PRSs + Age + 7 clinical risk factors

0.729 ± 0.028 [0.674–0.783]

0.319

base model

0 PRSs + Age + 7

0 PRSs + Age + 7 clinical risk factors

0.729 ± 0.027 [0.676–0.782]

NA