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Pediatric risk of mortality (PRISM) score
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1988
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The Pediatric Risk of Mortality (PRISM) score was derived from the Physiologic Stability Index (PSI) to streamline pediatric ICU mortality risk assessment by reducing the number of required physiologic variables and providing objective weighting for the remaining ones. The study aimed to develop and validate a simplified, objective mortality risk tool for PICU patients. Using univariate and multivariate analyses on PSI data from 1,415 patients, the authors created a 14‑variable PRISM score with 23 variable ranges and validated it with logistic regression and ROC analysis in an independent cohort of 1,227 patients. Validation demonstrated excellent predictive performance, with an area under the ROC curve of 0.92 and accurate risk stratification across multiple PICUs and diagnostic categories.
The Pediatric Risk of Mortality (PRISM) score was developed from the Physiologic Stability Index (PSI) to reduce the number of physiologic variables required for pediatric ICU (PICU) mortality risk assessment and to obtain an objective weighting of the remaining variables. Univariate and multivariate statistical techniques were applied to admission day PSI data (1,415 patients, 116 deaths) from four PICUs. The resulting PRISM score consists of 14 routinely measured, physiologic variables, and 23 variable ranges. The performance of a logistic function estimating PICU mortality risk from the PRISM score, age, and operative status was tested in a different sample from six PICUs (1,227 patients, 105 deaths), each PICU separately, and in diagnostic groups using chi-square goodness-of-fit tests and receiver operating characteristic (ROC) analysis. In all groups, the number and distribution of survivors and nonsurvivors in adjacent mortality risk intervals were accurately predicted: total validation group (x2(5) = 0.80; p > .95), each PICU separately (x2(5) range 0.83 to 7.38; all p > .10), operative patients (x2(5) = 2.03; p > .75), nonoperative patients (x2(5) = 2.80, p > .50), cardiovascular disease patients (x2(5) = 4.72; p > .25), respiratory disease patients (x2(5) = 5.82; p > .25), and neurologic disease patients (x2(5) = 7.15; p > .10). ROC analysis also demonstrated excellent predictor performance (area index = 0.92 ± 0.02).