Acute Ischemic Stroke Management

Rich-Club organization: an important determinant of functional outcome after acute ischemic stroke

This study shows that the number of rich-club brain regions affected by stroke predicts worse functional outcomes better than traditional markers like lesion volume and age.

Acute characterization of tissue and functional deficits in a clinically translatable pig model of ischemic stroke

This study characterizes acute tissue and functional deficits in a pig model of ischemic stroke to identify treatment targets and inform therapeutic development.

Identification of novel neuroprotective loci modulating ischemic stroke volume in a cross between wild-derived inbred mouse strains

The paper identifies four new neuroprotective loci modulating cerebral infarct volume in mice by comparing wild-derived strains and finds candidate genes associated with these loci.

Comparison of classification methods for tissue outcome after ischemic stroke

The paper compares five classification methods for identifying high-risk infarction tissue in ischemic stroke using MRI data, finding no significant difference in precision-recall performance.

The importance of selected markers of inflammation and blood-brain barrier damage for short-term post-stroke prognosis

The paper examines the role of inflammation markers and blood-brain barrier damage in predicting short-term post-stroke outcomes.

Effective reserve: a latent variable to improve outcome prediction in stroke

This paper introduces effective reserve (eR), a latent variable derived from clinical and imaging data, to improve prediction of functional outcomes after acute ischemic stroke.

INCLUSION CRITERIA UPDATE OF THE INTRALUMINAL ISCHEMIC MODEL IN RAT FOR PRECLINICAL STUDIES

The study shows that combining laser Doppler with MRI techniques improves reproducibility of infarct volume in rat stroke models.

Stroke-associated pattern of gene expression previously identified by machine-learning is diagnostically robust in an independent patient population.

The paper validates a previously identified ten-gene expression pattern for stroke detection in an independent cohort, showing high sensitivity and specificity across multiple time points.

Development of a multivariate clinical prediction model for the diagnosis of mild stroke/TIA in physician first-contact patient settings

This paper develops a logistic regression model to diagnose mild stroke/TIA using clinical symptoms, achieving better performance than the ABCD2 score in a validation set.