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NEW YORK (Reuters Health) - The renal arterial resistance
index, determined with ultrasound, and DNA microarray profiling
appear to be useful in predicting graft survival after kidney
transplantation, according to findings from two studies published
in the July 10th issue of The New England Journal of Medicine.
"For the short term, predicting outcomes after transplantation
is not as important as it once was, since greater than 90%
of renal allografts now survive for at least 1 year," Dr.
Philip A. Marsden of the University of Toronto, author of
a related editorial, told Reuters Health. "But in the long
term, there still remains a strong chance of graft loss,"
he added. The ability to predict future graft loss is important
in guiding therapeutic interventions, Dr. Marsden said. "The
current studies provide some interesting new and old tools
for predicting outcomes after transplantation."
In the first study, Dr. Jorg Radermacher, from Hannover Medical
School in Germany, and colleagues used Doppler ultrasound
to measure the renal arterial resistance index in 601 patients
who underwent renal transplantation between August 1997 and
November 1998.
Testing was performed in all patients at least 3 months after
transplantation. An index of 80 or higher was considered abnormally
high. The patients were followed for at least 3 years.
Twenty percent of patients had an abnormally high resistance
index. An abnormally high index was tied to a 50% or greater
drop in creatinine clearance and to an increased risk of requiring
dialysis--the indicator for graft failure (p < 0.001). Moreover,
the mortality for patients with an elevated index was 30%,
compared with a rate of only 7% for patients with lower values.
On multivariate analysis, patients with a high resistance
index were 9.1-times more likely to lose their allograft than
were patients with lower values, the investigators note.
In the second study, which included pediatric transplant
recipients, Dr. Minnie Sarwal and colleagues, from Stanford
University in California, evaluated gene-expression patterns
that could predict renal allograft loss.
Despite having similar appearances on light microscopy, biopsy
samples from rejected kidneys often varied greatly in their
gene-expression patterns. Analysis of the patterns revealed
that there were at least three subtypes of acute rejection.
In particular, the authors identified a B-cell molecular pattern
that was strongly tied to steroid resistance and to severe
graft rejection.
"The study by Dr. Radermacher's team provides us with startling
new information that a commonly used test in clinical medicine
is a very powerful predictor of long-term graft function,"
Dr. Marsden said. "In contrast, the second study provides
us with a relatively new technique that predicts graft loss."
The ultimate goal is to achieve complete engraftment of transplanted
organs, Dr. Marsden noted. "Now that we have some predictors
for transplant outcomes, further studies are needed to shed
light on what makes grafts fail and what can be done to prevent
it."
N Engl J Med.
2003 Jul 10;349(2):115-24
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