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Article Review/Hyperlink
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Douma CE, Redekop WK, Van der Meulen JHP, Van Olden RW, Haeck
J, Struijk DG, Krediet RT
Predicting mortality in intensive care patients with acute
renal failure treated with dialysis
J Am Soc Nephrol
(Jan) 8:111-117 1997

Patients in intensive care units with acute renal failure (ARF)
continue to have a high mortality. Prediction models have been
attempted to predict mortality in such patients, perhaps with an
ultimate goal of limiting initial dialysis therapy when prognosis is
hopeless. In practice, prediction models are of more usefulness in
clinical studies of ARF when trying to determine if use of modality or
membrane, for example, affects mortality, and when correction needs to
be made for underlying risk.
The main model used in an ICU
setting is the APACHE score, the Acute Physiology and Chronic Health
Evaluation system. It consists of two parts: an Acute Physiology
Score (APS) based on 12 physiologic measures, and on the presence of
chronic health problems. This is used with the reason for ICU to
compute an estimated risk of death in a given patient. The APACHE III
is the most recent version of this evaluation system. Other variants
include a Simplified Acute Physiology Score, which includes selected
physiology measures from the APACHE system without the chronic health
problem part. There are a number of other variants. There also exist
some ARF-specific predictive models based on work in ARF patients.
In this study, a number of these scores were retrospectively
applied to 238 patients who received a first dialysis treatment in the
intensive care unit. The overall in-hospital mortality for the group
was 78%. Receiver operating curves were determined to assess the
sensitivity and specificity of each prediction system to predict
death.
In general, the models derived from ICU patients as
a whole tended to underpredict mortality in the patients with ARF. A
model developed by Liano (Nephron 63:21-31, 1993), which was
derived in ARF patients, seemed to predict observed mortality rather
well. Of the general models, the APACHE III evaluation was the best.
However, none of the models had high sensitivity and specificity.
Both the APACHE III and Liano model were good at identifying very high
risk patients. When patients in the top quintiles with each method
were examined, observed mortality rates were 97% and 98%,
respectively.
Comment: The fact that all models
tested showed poor to moderate discriminatory ability should inject
some caution into interpretation of studies of ARF mortality where
APACHE scores were used to ensure comparability of groups. In
particular, the underestimation of mortality in ARF patients with the
APACHE score is noteworthy. Should one consider withholding dialysis
in patients within the highest quintiles of APACHE and Liano scores?
This will always remain an individual, clinical decision. In any
case, cutoff scores for the highest quintiles are not given, and the
questionnaires would need to be recalibrated at a given institution.
The techniques of meta-analysis are well-developed. Perhaps
one could combine all of these predictive equations into a neural net
type of algorithm which might have improved sensitivity and
specificity. (John T. Daugirdas, M.D., University of Illinois
at Chicago)
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