When predicting cardiovascular events, methods that use
non-laboratory-based risk factors are as accurate as those that rely on
laboratory-based values, according to an Article released on March 14,
2008 in The Lancet.
Approximately 80% of all cardiovascular deaths occur in developing
countries. So, risk assessment of high risk patients in these areas,
where laboratory testing could be inconvenient or unavailable, is often
difficult. The use of non-laboratory-based risk factors are an
important alternative that need to be explored.
To explore the efficacy of these techniques, Dr Thomas Gaziano,
Division of Cardiovascular Medicine, Brigham & Women's
Hospital, Boston, MA, USA, and colleagues re-analysed the subjects of
the NHANES I study. This study, performed between 1971 and 1975, was a
cohort study of 14,407 participants in the United States between 25 and
74 years old. This new study followed up on 6,186 of them who did not
repot a history of cancer or cardiovascular disease, including symptoms
such as heart attack, heart failure, stroke, and angina. A
laboratory-based method, which required blood tests, examined the age,
systolic blood pressure, smoking status, total cholesterol, reported
diabetes status, and current treatment for high blood pressure. The non
lab method checked the same factors but substituted body-mass index for
the cholesterol.
Over a 21 year period, there were 1,529 first-time cardiovascular
events, of which 578 (38%) were deaths due to cardiovascular disease.
To assess the levels cardiovascular risk prediction accuracy,
a c-statistic for each prediction method. In both men and
women, the lab and non-lab methods gave very similar
c-statistics.
In developed countries, the added cost of cholesterol testing is about
$10 per test and from $20 to $80 if a follow up visit is necessary. In
developing countries, the cost of a test is $1 to $3, and the
additional visit costs $3 to $7. To offer perspective, the authors
point out that in India, which spends approximately $31 per person per
year on health care, guidelines recommending cholesterol screening
would require that more than 10% of the entire Indian health-care
budget to be sunk into this single laboratory test. According to this
study, a non-laboratory test could be just as effective, and could
obtain the required risk factor informaiton in between 5 and 10
minutes.
In conclusion, the authors suggest that adequate screening programs may
not be out of reach in developing countries, despite sub-par conditions
for laboratory testing. "Although this method requires further
validation and calibration, use of a simple non-laboratory
approach, as suggested by WHO, could have profound effects on the
affordability and availability of an adequate screening programme in
developing countries. Initial screening without blood testing could
lead to the quick initiation of treatment without the added cost or
inconvenience of laboratory testing, and would also keep any potential
loss to follow-up due to the extra step in testing to a minimum."
Dr Shanthi Mendis, WHO, Geneva, Switzerland, and Dr V Mohan, Madras
Diabetes Research Foundation, India, contributed a Comment in the same
issue, in which they caution that conclusions made in this population,
which was entirely American, may not completely apply to populations in
developing countries. "Although tools that use non-laboratory-based
variables can help to improve affordability of screening programmes for
non-communicable diseases, they should not compromise the safety of
patients. For equitable care of cardiovascular disease and other major
non-communicable diseases, universal access to a set of essential
interventions, including laboratory assays, may be required, even in
settings with limited resources."
Laboratory-based
versus non-laboratory-based method for assessment of cardiovascular
disease risk: the NHANES I Follow-up Study cohort
Dr Thomas A Gaziano MD, Cynthia R Young MSc, Garrett
Fitzmaurice DSc, Sidney Atwood BA and J Michael Gaziano MD
The Lancet 2008; 371:923-931
Click Here For Abstract
Non-laboratory-based prediction of cardiovascular risk
Shanthi Mendis, V Mohan
The Lancet - Vol. 371, Issue 9616, 15 March 2008,
Pages 878-879
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Written by Anna Sophia McKenney