Skip to main content
. 2022 May 31;24(2):296–299. doi: 10.5853/jos.2021.04385

Table 1.

Variables selected in the multivariable cox regression model for prediction of all-cause mortality

Variable HR (95% CI) P
sNfL (pg/mL) per 1-SD increase*, 1.233 (1.084–1.423) 0.003
Demographics
 Age squared per 1-SD increase 2.031 (1.632–2.531) <0.001
 Sex NS NS
Cognition
 Cognitive index 0.704 (0.581–0.853) <0.001
Vascular risk factors
 Hypertension NS NS
 Diabetes 1.263 (0.870–1.832) 0.231
 Smoking 1.630 (1.133–2.371) 0.012
Comorbidity
 Cardiovascular events 1.192 (0.854–1.671) 0.314
MRI characteristics
 WMH (mL) per 1-SD increase* NS NS
 GMV (mL) per 1-SD increase 0.871 (0.720–1.064) 0.180
 WMV (mL) per 1-SD increase 0.840 (0.702–0.991) 0.041
 MD white matter 10-3 mm2/sec per 1-SD increase 1.052 (0.943–1.170) 0.382
 Presence of microbleeds NS NS
 Presence of lacunes 1.243 (0.881–1.752) 0.224

Variables selected after applying lasso regression.

HR, hazard ratio; CI, confidence interval; sNfL, serum neurofilament light chain; SD, standard deviation; NS, not selected (by lasso regression); MRI, magnetic resonance imaging; WMH, white matter hyperintensities; GMV, grey matter volume; WMV, white matter volume; MD, mean diffusivity.

*

Log-transformed;

Age-normalized;

Three patients excluded because of insufficient scan quality.