PEDIATRICS Vol. 99 No. 1 January 1997, pp. 59-63
Pediatric Mortality Probability Estimated From Pre-ICU Severity of Illness
Received May 22, 1995; accepted February 28, 1996..
,
From the * Departments of Pediatrics, State University of New
York, Health Science Center, Syracuse, New York;
Albany Medical
College, Albany, New York; § University of North Carolina, Chapel Hill,
North Carolina; and
Children's Hospital of Pittsburgh, Pittsburgh,
Pennsylvania.
Objective. The Pediatric Risk of Mortality (PRISM) score is a measure of illness severity based on abnormalities observed in the bedside examination and laboratory assessment. PRISM scores obtained after pediatric intensive care unit (PICU) admission predict mortality probability, but no previous efforts to evaluate mortality risk before PICU admission have been reported. Our study was performed on patients admitted to PICUs at four pediatric tertiary care centers to derive a quantitative estimate of hospital mortality probability as a function of PRISM scores obtained at referring hospitals before PICU transfer. Performance of the model was tested by evaluating accuracy of mortality predictions obtained from pre-ICU PRISM scores in a separate validation set of patients.
Methods. Patients were randomized to the derivation or validation sets. Data were recorded prospectively from observations made at hospitals referring to the study PICUs. Patients included 780 infants and children with medical and surgical emergencies and trauma. Electively admitted patients were excluded from analysis.
Results. The relationship between mortality probability
(P) and the pre-ICU PRISM score is expressed
by the equation: P = er/(1 + er). In
this equation, r is an empirical function of the pre-ICU PRISM score:
r = .197 × PRISM
4.705. The mortality probability rises from near 0 at low scores, approaching 1 (certainty) above a
PRISM score of 40. Mortality probability exceeds 10% at a score of 13 and exceeds 50% at a score of 24. Performance of predictions in the
validation set of patients was evaluated for five categories of
mortality probability. The observed number of deaths corresponded to
predicted mortality across the range of illness severity. When compared
for each tertiary institution, observed mortality rates were similar to
predictions for three of four institutions. For data obtained at
institution D, the observed mortality of 17% significantly exceeded
the 7% predicted rate. In infants younger than 1 year, as well as
children 1 year and older, observed mortality rates were similar to
predicted.
Conclusions. The pre-ICU PRISM score as a measure of illness severity provides an estimate of hospital mortality probability. Further investigation is required to determine the use of pre-ICU mortality estimates in making clinical decisions.
Key words: interhospital transport, mortality prediction, outcome assessment, regionalization, severity of illness.
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