You are still approaching this wrong. Solve the primary problem of 100% recovery and this secondary issue of depression likely goes away.
Mendelian Randomization Study
Abstract
Background and Purpose—
Psychosocial
factors can have implications for ischemic stroke risk and recovery.
This study investigated the effect of genetically determined risk of
depression on these outcomes using the Mendelian randomization (MR)
framework.
Methods—
Genetic
instruments for risk of depression were identified in a discovery
genome-wide association study of 246 363 cases and 561 190 controls and
further replicated in a separate population of 474 574 cases and 1 032
579 controls. Corresponding genetic association estimates for risk of
ischemic stroke were taken from 60 341 cases and 454 450 controls, with
those for functional outcome 3 months after ischemic stroke taken from
an analysis of 6021 patients. Following statistical power calculation,
inverse-variance weighted MR was performed to pool estimates across
different instruments. The Cochran Q heterogeneity test, weighted
median MR, and MR pleiotropy residual sum and outlier were used to
explore possible bias relating to inclusion of pleiotropic variants.
Results—
There
was no MR evidence for an effect of genetically determined risk of
depression on ischemic stroke risk. Although suffering low statistical
power, the main inverse-variance weighted MR analysis was suggestive of a
detrimental effect of genetically determined risk of depression on
functional outcome after ischemic stroke (odds ratio of poor outcome
[modified Rankin Scale, ≥3] per 1-SD increase in genetically determined
risk of depression, 1.81; 95% CI, 0.98–3.35; P=0.06). There was no evidence of heterogeneity between MR estimates produced by different instruments (Q P=0.26). Comparable MR estimates were obtained with weighted median MR (odds ratio, 2.57; 95% CI, 1.05–6.25; P=0.04) and MR pleiotropy residual sum and outlier (odds ratio, 1.81; 95% CI, 0.95–3.46; P=0.08).
Conclusions—
We
found no MR evidence of genetically determined risk of depression
affecting ischemic stroke risk but did find consistent MR evidence
suggestive of a possible effect on functional outcome after ischemic
stroke. Given the widespread prevalence of depression-related morbidity,
these findings could have implications for prognostication and
personalized rehabilitation after stroke.
Footnotes
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