Systematic review and meta-analysis of Stroke and COVID-19, Dr Stefania Nannoni
Review of 61 studies involving over 108,000 people with COVID-19. Findings suggested that around 1.4% of people with COVID-19 developed a stroke, most often ischemic stroke.
Does illicit drug use increase stroke risk? A systematic review, meta-analyses, and Mendelian randomization analysis, Dr Megan Ritson
Study finds observational and genetic support that use of drugs, particularly cocaine, amphetamines and cannabis, increase stroke risk.
This research was also featured in the news. Read more here:
MRI markers of cerebrospinal fluid dynamics predict demenita and mediate the impact of cardiovascular risk, Hui Hong
Using data from UK Biobank, this study found that impaired function of cerebrospinal fluid dynamics predicted future dementia risk. Additionally, cerebrospinal fluid dynamics partially mediated the effect of white matter hyperintensities and duration of diabetes on dementia risk.
This paper was also covered in the news. You can read more here:
Changes in the prognosis of CADASIL over time: A 23-year study in 555 individuals, Dr Nontapat Sukhonpanich
This study of 555 CADASIL patients found that people recruited to the study more recently experienced their first stroke at older ages and had lower risks of stroke and dementia than those recruited earlier, even after accounting for risk factors and mutation sites. The findings suggest that the overall prognosis of CADASIL is improving, possibly aided by better awareness and management of the condition.
This research was also featured across the news. You can read some of the articles below:
Proteins Involved in Endothelial Function and Inflammation Are Implicated in Cerebral Small Vessel Disease, Zihan Sun
Study using proteogenomic data to examine nearly 1,000 proteins connected to the endothelium and inflammation and identify druggable protein targets implicated in cerebral small vessel disease.
LUMEN–A deep learning pipeline for analysis of the 3D morphology of the cerebral lenticulostriate arteries from time-of-flight 7T MRI, Rui Li
In this paper, the authors discuss the development of a semi-automated deep learning-based pipeline which helps analyse the 3D-morphology of the lenticulostriate arteries. The lenticulostriate arteries are particularly impacted by cerebral small vessel disease.