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A History of Hemodialysis Adequacy
Maintaining life, but not health
When hemodialysis treatments were first used to replace renal function,
no one knew how much dialysis therapy was needed to keep the patients
healthy. Doctors knew that they had to maintain the blood levels
of certain substances, such as potassium, within a specific range
to keep their patients alive. The early pioneers of dialysis quickly
mastered the technology to effectively manage these essential tasks.
However, after the patients had been on dialysis for a few months,
doctors found it was a much bigger challenge to keep these early
hemodialysis patients healthy in the long run.
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Long
term survival on hemodialysis machines became possible in
the 1960's.
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Many of these early hemodialysis patients had frequent and devastating
complications, such as severe infections and inflammation of the
heart cavity (pericarditis). Doctors discovered they could reduce
or eliminate these complications by dialyzing the patients longer.
Somewhat reluctantly, patients accepted these longer dialysis
times as necessary for maintaining their long-term health.
Nephrologists, trying to shorten the 8-10 hour dialysis sessions
and also to prevent patients from being under-dialyzed, began looking
for an easy-to-measure value (or "marker") to help them
determine when a patient was receiving an adequate amount of dialysis
therapy.
Urea (or BUN) levels
Urea levels in the blood had long been used to assess kidney function.
Patients were typically described as "uremic" when they had renal
disease. Urea is a waste product that results from the protein that
we eat, digest, and catabolize and is normally excreted in the urine.
When doctors saw new patients with renal disease, they observed
that the higher the patient's BUN level was, the more ill they were.
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BUN
stands for Blood Urea Nitrogen. With normal kidney function,
a person has a BUN in the range of 8 - 25 mg/dl.
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In those early days, the general consensus was that high levels
of urea had a toxic effect. Therefore, many doctors thought that
keeping the BUN levels as low as possible would be best for the
patients. They knew that the more protein the patients ate, the
higher their BUN levels were. Accordingly, many of the early dialysis
patients were advised to strictly limit the amount of protein in
their diets.
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Sad,
but true - 1970's Renal Dietary Counseling:
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Stop
eating so much protein OR WE'LL HAVE TO INCREASE YOUR DIALYSIS
TIME !!
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When should we measure BUN?
Urea is efficiently removed from the blood by dialysis. It is a
small molecule that passes easily through the dialyzer membrane.
It is also constantly produced by the body. As you can see, BUN
values vary widely over the week. For a Mon/Wed/Fri hemodialysis
patient, it's highest on Monday pre-dialysis (~90). It's lowest
on Friday post-dialysis.

Shooting for BUN Targets
In the 1970s and early 1980s, a common practice was to prescribe
hemodialysis therapy in order to attain a target BUN. Some doctors
wanted the pre-treatment BUN never to exceed 80 mg/dl. Some thought
that the urea level should be averaged over the course of the week
and they used a Time Averaged Concentration (TAC) BUN value as a
target. To try and hit these target BUNs, they adjusted the amount
of time on dialysis, the blood flow rates, changed dialyzers, and
issued restrictions on dietary protein. Using target BUNs seemed
like a logical approach to prescribing hemodialysis. However, there
were many patients who hitting these BUN targets and were still
not doing well, and some displayed symptoms of being underdialyzed.
Questions No One Could Answer
It also became apparent that some patients who ate a lot of protein
were healthier than other patients who strictly limited their protein
intake. Why was this? Why did patients who weighed the same
and ate the same amount of protein require different amounts of
dialysis therapy to stay healthy? Why were some patients who had
pre-treatment BUNs of 100 perfectly healthy, yet others who had
pre-treatment BUNs of 60 unhealthy and in need of more dialysis?
Doctors began searching for a better "marker" in the blood that
could be used to predict patient outcomes. Since urea is a small
molecule, some began looking at larger "middle molecules", thinking
that these would offer a better indication of an overall "toxic
effect" on the body. Some clinics tried dialyzing all the patients
the same amount of time, such as four hours or more. Some doctors
experimented with calculations for prescribing hemodialysis therapy
that included the patient's weight and the dialyzer surface area.
Unfortunately, in using all these methods, there were some patients
who were hitting cautiously-set targets and were still displaying
symptoms of being underdialyzed.
National Cooperative Dialysis Study (NCDS)
In the 1970's, the NCDS was funded to try to determine which dialysis
therapies provided the best patient outcomes. Data from hundreds
of patients was collected and this provided a huge database of information
about dialysis patients for the first time. The NCDS study compared
the different methods of measuring dialysis adequacy in use at that
time, but it could not provide a definitive answer as to what was
best. However, the accumulated data did produce a later breakthrough.
Two researchers, Dr. Frank Gotch and John Sargent (PhD), analyzed
the study's database trying to find new common factors for those
patients that were doing well (and for those patients that were
doing poorly).
Using Urea Clearances
Using the data from the National Cooperative Dialysis Study, Gotch
and Sargent separated the patients into two groups based on their
symptoms: those that were well and appeared adequately
dialyzed and those that had complications and appeared underdialyzed.
They found the data didn't make much sense until they invented a
new way of measuring dialysis therapy. Their new method still utilized
urea, but it didn't use a target BUN. Instead, it measured the volume
of blood that was cleared of urea during a treatment and compared
it to the amount of water in the patient's body. The end result
was that Gotch and Sargent arrived at a simple, elegant formula
for measuring dialysis therapy:
Kt / V (pronounced:
Kay Tee over Vee)
(The "K" stands for "clearance" of urea in milliliters per minute,
"t" for "time" in minutes, and "V" for body water "volume" in liters.
The calculation uses each patient's individual body water volume,
so the value is "normalized". Patients who weigh the same
amount can have vastly different body water volumes.)
The Questions are Finally Answered
Why were some patients who had urea levels of 100 perfectly healthy,
yet others who had levels of 60 unhealthy and in need of more dialysis?
Why did two patients who weighed the same amount need different
lengths of dialysis treatments to stay healthy? The formula Kt/V
effectively answered these questions for the first time. When Gotch
and Sargent applied the Kt/V formula to the data they had for these
patients, the healthy and unhealthy patients fell into two distinct
numerical groupings. If the patient had a Kt/V value that was 1.0
or higher, they were doing well in terms of being adequately dialyzed.
If they had a Kt/V value less than 0.8, they were underdialyzed
and were doing poorly.
Urea Kinetic Modeling
This new approach became known as urea kinetic modeling. It uses
Kt/V values to prescribe and measure dialysis therapy. It uses the
results of two blood tests, pre and post treatment BUNs, in its
calculations. Urea kinetic modeling includes protein metabolism
analyses and provides care givers, as part of the Kt/V calculations,
with the amount of protein that the patients are actually eating
(It calculates the PCR - protein catabolic rate. Diet diaries are
notoriously inaccurate). Another benefit of Gotch and Sargent's
analyses was that it provided strong scientific evidence that dialysis
patients were better off eating more protein, not less. As more
data accumulated, it became apparent that reducing protein in the
diet to keep the urea levels low was actually resulting in patients
not getting enough protein to stay healthy (low albumin levels).
Over the years, it also became apparent that there were additional
long-term benefits for the patients in increasing their Kt/V values
to 1.2 and higher.
Those
defiant 1970's patients who ate more than their allotted
amount of protein, and then were "punished" with
more dialysis time, were actually in sync with today's best
clinical practices.
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Urea kinetic modeling requires inputting several treatment and
patient variables and the use of complex mathematics. Due to this
complexity, a programmable scientific calculator or a computer is
required to perform the calculations. Around 1990, researchers were
able to show a high degree of correlation between Kt/V values and
urea reduction ratios (URR). A URR can be calculated with
simple algebra and only uses the same two blood tests as the Kt/V
equations. While a URR is not as accurate as a Kt/V value, nor does
it provide any information about the patient's protein intake, a
URR value does provide an easy-to-calculate marker for dialysis
adequacy. As an example, a Kt/V of 1.2 is roughly equivalent to
a URR of about 63 percent. Like Kt/V, the higher the URR value,
the better.
Here is a comparison
of URR and Kt/V from the NIDDK web site.
A Word of Warning: Current
medical literature suggests that persons with renal disease who
still have some remaining renal function should limit their protein
intake to preserve that remaining renal function. Dialysis patients
generally have no remaining renal function. Please consult with
your nephrologist and renal dietitian about the protein intake level
that is most beneficial for you and your current condition.
Gary Peterson,
February 2000
(Author's note:
This quasi-history lesson is intended to introduce new dialysis
personnel to the concepts of urea kinetic modeling and adequacy
in a somewhat entertaining fashion (a la James Burke). This short
summary is not comprehensive nor does it do justice to all of the
work that was done on this topic over the years by so many individuals.
Those interested in more thorough and complete accounts should consult
the appropriate scientific journals.)
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