Stroke, also known as cerebrovascular disease, is a sudden interruption of the blood supply to the brain for a blood
vessel bursts or is blocked by a clot, which cuts off the supply of oxygen and
nutrients, causing damage to the brain tissue. And its most common symptoms
include sudden weakness or numbness of the face, arm or leg, most often on one
side of the body, sudden confusion, trouble speaking or understanding, and so
on. The effects of a stroke depend on the severity and which area of the brain
is injured. And there are two types of stroke: ischemic stroke, which is most
common and caused by an abrupt blockage of an artery and hemorrhagic stroke,
which is caused by bleeding into brain tissue when a blood vessel bursts.
According to the
data from World Heart Federation, stroke is the second leading cause of
disability, after dementia and every year, 15 million people worldwide suffer a
stroke. And globally, stroke is the second leading cause of death above the age
of 60 years, and the fifth leading cause of death in people aged 15 to 59 years
old.
In this paper, the
authors discussed stroke occurred in American Indians. They presented
gender-specific stroke risk prediction equations based on longitudinal data
from the Strong Heart Study (SHS) during 1989-2010. And a total of 3483 (2043
women) participants free of stroke at baseline were followed from 1989 to 2010
for incident stroke. Among them, 297 (179 women) suffered an incident
stroke. The baseline characteristics and outcome variables were presented in
the paper. Then the statistical methods, development of prediction equations
and discrimination, calibration, and validation of the prediction equations were
introduced.
The authors
analyzed and discussed the result obtained. The findings indicated that the generated
stroke prediction models based on the data from the SHS provided a mechanism
for stroke risk assessment designed for American Indians and they can be also
useful to other populations with high prevalence of obesity and/or diabetes for
screening individuals for risk of incident stroke and designing prevention
programs.
Article by Wenyu Wang, et al, from USA.
Full access: http://mrw.so/1XH2aq
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| Image by Mercy Gilbert Medical Center, from Flickr-cc. |
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