Skip to main content
Top
Published in: Intensive Care Medicine 9/2007

01-09-2007 | Editorial

Future trends in illness severity scores

Author: Gareth Parry

Published in: Intensive Care Medicine | Issue 9/2007

Login to get access

Excerpt

Sir, The paper by Kuzniewicz and colleagues [1] provides some timely suggestions for improving future intensive care severity scoring systems. They base their conclusions on results of an analytical experiment conducted in a neonatal intensive care setting. …
Literature
2.
go back to reference Mourouga P, Goldfrad C, Rowan K (2000) Does it fit? Is it good? Assessment of scoring systems. Severity scoring in the critically ill patient. Curr Opin Crit Care 6:176–180CrossRef Mourouga P, Goldfrad C, Rowan K (2000) Does it fit? Is it good? Assessment of scoring systems. Severity scoring in the critically ill patient. Curr Opin Crit Care 6:176–180CrossRef
3.
go back to reference Dorling JS, Field DJ, Manktelow B (2005) Neonatal disease severity scoring systems. Arch Dis Child 90:F11–F16 Dorling JS, Field DJ, Manktelow B (2005) Neonatal disease severity scoring systems. Arch Dis Child 90:F11–F16
4.
go back to reference Escobar G, Shaheen S, Breed E, Botas C, Greene J, Yoshida C, Zupancic J, Newman T (2004) Richardson score predicts short-term adverse respiratory outcomes in newborns ≥ 34 weeks gestation. J Pediatr 145:754–760PubMedCrossRef Escobar G, Shaheen S, Breed E, Botas C, Greene J, Yoshida C, Zupancic J, Newman T (2004) Richardson score predicts short-term adverse respiratory outcomes in newborns ≥ 34 weeks gestation. J Pediatr 145:754–760PubMedCrossRef
5.
go back to reference Tucker J, McGuire W (2004) ABC of preterm birth. Epidemiology of preterm birth. Br Med J 329:675–678CrossRef Tucker J, McGuire W (2004) ABC of preterm birth. Epidemiology of preterm birth. Br Med J 329:675–678CrossRef
6.
go back to reference Brady AR, Harrison D, Black S, Jones S, Kathy Rowan K, Pearson G, Ratcliffe J, Parry GJ (2006) Assessment and optimization of mortality prediction tools for admissions to pediatric intensive care in the United Kingdom. Pediatrics 117:e733–e742 Brady AR, Harrison D, Black S, Jones S, Kathy Rowan K, Pearson G, Ratcliffe J, Parry GJ (2006) Assessment and optimization of mortality prediction tools for admissions to pediatric intensive care in the United Kingdom. Pediatrics 117:e733–e742
7.
go back to reference Tunnell RD, Millar BW, Smith GB (1998) The effect of lead time bias on severity of illness scoring, mortality prediction and standardised mortality ratio in intensive care: a pilot study. Anaesthesia 53:1045–1053PubMedCrossRef Tunnell RD, Millar BW, Smith GB (1998) The effect of lead time bias on severity of illness scoring, mortality prediction and standardised mortality ratio in intensive care: a pilot study. Anaesthesia 53:1045–1053PubMedCrossRef
8.
go back to reference Altman DG, Royston P (2000) What do we mean by validating a prognostic model? Stat Med 19:453–473PubMedCrossRef Altman DG, Royston P (2000) What do we mean by validating a prognostic model? Stat Med 19:453–473PubMedCrossRef
Metadata
Title
Future trends in illness severity scores
Author
Gareth Parry
Publication date
01-09-2007
Publisher
Springer-Verlag
Published in
Intensive Care Medicine / Issue 9/2007
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-007-0736-6

Other articles of this Issue 9/2007

Intensive Care Medicine 9/2007 Go to the issue