Can PRISM predict length of PICU stay? An analysis of 2000 cases

References

• POLLACK M. M., RUTTIMANN U. E. and GETSON P. R., 1988, Pediatric risk of mortality (PRISM) Score. Critical Care Medicine, 16, 1110– 1116.
   PubMed Web of Science ®Google Scholar
• ZOBEL G., RODL S., RIGLER B., METZLER H., DACAR D., GRUBBAUER H. M. and BEITZKE A., 1993, Prospective evaluation of clinical scoring systems in infants and children with cardiopulmonary insufficiency after cardiac surgery. Journal of Cardiovascular Surgery (Torino), 34, 333– 337.
   Google Scholar
• BERTOLINI G., RIPAMONTI D., CATTANEO A. and APOLONE G., 1998, Pediatric Risk of Mortality: An assessment of its performance in a sample of 26 Italien intensive care units. Critical Care Medicine, 26, 1427– 1432.
   Google Scholar
• RUTTIMANN U. E., PATEL K. M. and POLLACK M. M., 1998, Length of stay and efficiency in pediatric intensive care units. Journal of Pediatrics, 133, 79– 85.
   Google Scholar
• RUTTIMANN U. E. and POLLACK M. M., 1996, Variability in duration of stay in pediatric intensive care units: A multiinstitutional study. Journal of Pediatrics, 128, 35– 44.
   Google Scholar
• ZERNIKOW B., HOLTMANNSPO¨ TTER K., MICHEL E., HORNSCHUH F., GROOTE K. and HENNECKE K.H., 1999, Predicting length-of-stay of preterm neonates. European Journal of Pediatrics, 158, 59– 62.
   Google Scholar
• CASTELLO F. V., CASSANO A., GREGORY P. and HAMMOND J., 1999, The Pediatric Risk of Mortality (PRISM) score and Injury Severity Score (ISS) for predicting resource utilization and outcome of intensive care in pediatric trauma. Critical Care Medicine, 27, 985– 988.
   PubMed Web of Science ®Google Scholar
• ALTMAN D. G., 1991, Practical statistics for medical research, (London, UK: Chapman & Hall).
   Google Scholar
• DICKIE H., VEDIO A., DUNDAS R., TREACHER D. F. and LEACH R. M., 1998, Relationship between TISS and ICU cost. Intensive Care Medicine, 24, 1009– 1017.
   Google Scholar
• MICHEL E. and ZERNIKOW B., 1997, TOSCA, ein Ku¨ nstliches Neuronales Netz zur Qualita¨tssicherung in der Pflegebegutachtung. Gesundheitso¨konomie & Qualita¨tsmanagement, 2, 187– 192.
   Google Scholar
• MICHEL E., ZERNIKOW B. and WICHERT S. A., 2000, Use of an artificial neural network for classifying nursing care needed, using incomplete input data. Medical Informatics, 25, 147– 158.
   Google Scholar
• RUMELHART D. E., HINTON G. E. andWILLIAMS R. J., 1987, Learning internal representations by error propagation. In Parallel distributed processing: Exploration in the microstructure of cognition, edited by D. E. Rumelhart and J. L. McClelland (Massachusetts: MIT Press), pp. 318 – 364. 218 E. Michel and B. Zernikow
   Google Scholar
• ZERNIKOW B., HOLTMANNSPO¨TTER K., MICHEL E., PIELEMEIER W., HORNSCHUH F., WESTERMANN A. and HENNECKE K., 1998, Artificial neural network for risk assessment in preterm neonates. Archives of Disease in Childhood, 79, F129– F134.
   Google Scholar
• ZERNIKOW B., HOLTMANNSPO¨ TTER K., MICHEL E., PIELEMEIER W., THEILHABER M. and HENNECKE K. H. 1998, Artificial neural network for predicting intracranial haemorrhage in preterm neonates. Acta Paediatrica Scandinavia, 87, 969– 975.
   Google Scholar
• HERTZ J., KROGH A. and PALMER R., 1991, Introduction to the theory of neural computing, (Massachusetts: Addison-Wesley).
   Google Scholar
• Anonymous, 1995, PredictTM Manual, (Pittsburgh: NeuralWare Inc.).
   Google Scholar
• VARDIS R. and POLLACK M., 1998, Sounding the improvement in outcomes in pediatric critical care: Are we listening for only what we want to hear? Critical Care Medicine, 26, 1635– 1636.
   Google Scholar
• POLLACK M. M., PATEL K. M. and RUTTIMANN U. E., 1996, PRISM III: An updated Pediatric Risk of Mortality score. Critical Care Medicine, 24, 743– 752.
   PubMed Web of Science ®Google Scholar
• SHANN F., PEARSON G., SLATER A. andWILKINSON K., 1997, Paediatric index of mortality (PIM): a mortality prediction model for children in intensive care. Intensive Care Medicine, 23, 201– 207.
   PubMed Web of Science ®Google Scholar
• MAREN A., HARTON C., and PAP R., 1990, Handbook of neural computing applications, (San Diego: Academic Press).
   Google Scholar
• HINTON G. E., MCCLELLAND J. L. and RUMELHART D. E., 1987, Distributed representations. In Parallel distributed processing: Exploration in the microstructure of cognition (vol 1), edited by D. E. Rumelhart and J. L. McClelland (Massachusetts: MIT Press).
   Google Scholar
• POLLACK M. M., WILKINSON J. D. and GLASS N. L., 1987, Long-stay pediatric intensive care unit patients: outcome and resource utilization. Pediatrics, 80, 855– 860.
   Web of Science ®Google Scholar
• VANUNEN H. J. and VEENHUIZEN L. S., 1999, Lage werkelijke mortaliteit van kinderen op een algemene intensive care in vergelijking met verwachte mortaliteit op grond van PRISMscore. Tijdschrift voor kindergeneeskunde, 67(suppl 1), 84 – 85.
   Google Scholar
• WELKIE K. A. and DEAN J. M., 1996, Continuous quality improvement in the pediatric intensive care unit. In Textbook of pediatric intensive care, edited by M. C. Rogers (Baltimore: Williams & Wilkins), pp. 1617 – 1647.
   Google Scholar
• CLERMONT G., ANGUS D. C., LINDE-ZWIRBEL W. T., LAVE J. R. and PINSKY M. R., 1998, Measuring resource use in the ICU with computerized therapeutic intervention scoring-system based data. Chest, 113, 434– 442.
   Google Scholar
• DE KEIZER N. F., BONSEL G. J., AL M. J. and GEMKE R. J. B. J., 1998, The relation between TISS and real paediatric ICU costs: a case study with generalizable methodology. Intensive Care Medicine, 24, 1062– 1069.
   Google Scholar
• KEENE A. R. and CULLEN D. J., 1983, Therapeutic intervention scoring system: Update 1983. Critical Care Medicine, 11, 1–3.
   PubMed Web of Science ®Google Scholar
• MIRINDA D. R., DE RIJK A. and SCHAUFELI W., 1996, Simplified Therapeutic Intervention Scoring System: The TISS-28 items – Results from a multicenter study. Critical Care Medicine, 24, 64– 73.
   Google Scholar
• TILFORD J. M., ROBERSON P. K., LENSING S. and FISER D. H., 1998, Differences in pediatric ICU mortality risk over time. Critical Care Medicine, 26, 1737– 1743.
   Google Scholar