P85 CEREBRAL SMALL VESSEL DISEASE AND RISK OF INCIDENT STROKE, DEMENTIA AND DEPRESSION, AND ALL-CAUSE MORTALITY: A SYSTEMATIC REVIEW AND META-ANALYSIS

DOI

10.1016/j.artres.2018.10.138How to use a DOI?

Abstract

Background: MRI features of cerebral small vessel disease, i.e. white matter hyperintensities, lacunes, microbleeds, perivascular spaces, and cerebral atrophy, may be associated with clinical events, but the strength of these associations remains unclear.

Methods: We conducted a systematic review and meta-analysis on the association between these features and incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality.

Results: For the association with stroke, 36 studies were identified (number of individuals/events [n] = 38,432/4,136), for dementia 28 (n = 16,458/1,709), for depression nine (n = 9,538/1,746), and for mortality 28 (n = 23,031/2,558). Only two studies evaluated perivascular spaces; these results were not pooled. Pooled analyses showed that all other features were associated with all outcomes (hazard ratios ranged 1.22–2.72). Combinations of two features were more strongly associated with stroke than any individual feature.

Conclusions: Individual features and combinations of CSVD features are strongly associated with incident ischaemic and haemorrhagic stroke, all-cause dementia and depression, and all-cause mortality. If these associations are causal, the strength of these associations suggests that a substantial burden of disease is attributable to CSVD.

Open Access

This is an open access article distributed under the CC BY-NC license.

TY  - JOUR
AU  - Sytze Rensma
AU  - Thomas van Sloten
AU  - Lenore Launer
AU  - Coen Stehouwer
PY  - 2018
DA  - 2018/12/04
TI  - P85 CEREBRAL SMALL VESSEL DISEASE AND RISK OF INCIDENT STROKE, DEMENTIA AND DEPRESSION, AND ALL-CAUSE MORTALITY: A SYSTEMATIC REVIEW AND META-ANALYSIS
JO  - Artery Research
SP  - 103
EP  - 103
VL  - 24
IS  - C
SN  - 1876-4401
UR  - https://doi.org/10.1016/j.artres.2018.10.138
DO  - 10.1016/j.artres.2018.10.138
ID  - Rensma2018
ER  -