R. Abizanda et al., ERRONEOUS PREDICTION OF RESULTS BY APACHE -II - ANALYSIS OF THE PREDICTION ERRORS OF DEATH IN CRITICALLY ILL PATIENTS, Medicina Clinica, 102(14), 1994, pp. 527-531
BACKGROUND: The evaluation of the prognosis of critically ill patients
by the APACHE II method is common in intensive care units (ICU). The
aim of the present was to analyze the possible factors associated to e
rrors in prediction. METHODS: A prospective study of 564 consecutive a
dmissions in a department of intensive medical care was carried out. P
rediction errors were studied by the calculation of the probability of
death established after the first 24 hours of admission by means of A
PACHE II. The factors analyzed in relation to the prediction errors we
re: the diagnosis or cause of admission to the ICU, the length of the
stay in the ICU, the time until possible death, the possible relation
of the death with the cause of admission and the treatment given to th
e patients during the first 24 hours Statistical analysis was performe
d with the SPSS software package with significance being determined at
p < 0.05. RESULTS: Mortality was of 20.6% (116 cases) with three cut
off points being chosen for probability of death (50, 70, and 90%). Ac
curacy of precision was 83.5%, 82.8% and 80.1%. There were 64 false su
rvivors (mortality lower than 50%, 13.25%-64/483) and 29 false deaths
(survival greater than 50%, 35.8%-29/81). Upon analysis of the cause o
f admission of these patients in whom there were prediction errors it
was found that there were no differences among the false survivors and
the false deaths. Significant differences were only detected upon com
parison of the false survivors with the verified survivors, however th
ese disappeared when the 136 cases admitted due to myocardial infarcti
on were excluded. Neither did the lenght of stay in the ICU demonstrat
e any significant difference except among the verified and false death
s in that the stay was longer in the latter. CONCLUSIONS: The factors
analyzed did not demonstrate that they may influence or be associated
with errors in prediction of the prognosis of patients admitted to an
intensive care unit, with these errors probably being due to errors in
the system used.