Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illness

<b>Background</b> : Signs of Inflammation in Children that can Kill (SICK score) is a new severity-of-illness score. It uses the physical signs of the Systemic Inflammatory Response Syndrome (SIRS) and its continuum - the Multiple Organ Dysfunction Syndrome (MODS). The development of the...

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Main Authors: Bhal S, Tygai V, Kumar N, Sreenivas V, Puliyel Jacob
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2006-01-01
Series:Journal of Postgraduate Medicine
Subjects:
Online Access:http://www.jpgmonline.com/article.asp?issn=0022-3859;year=2006;volume=52;issue=2;spage=102;epage=105;aulast=Bhal
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spelling doaj-bf139c29985e4623a7b098802a603b732020-11-25T00:11:07ZengWolters Kluwer Medknow PublicationsJournal of Postgraduate Medicine0022-38590972-28232006-01-01522102105Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illnessBhal STygai VKumar NSreenivas VPuliyel Jacob<b>Background</b> : Signs of Inflammation in Children that can Kill (SICK score) is a new severity-of-illness score. It uses the physical signs of the Systemic Inflammatory Response Syndrome (SIRS) and its continuum - the Multiple Organ Dysfunction Syndrome (MODS). The development of the score used multiple logistic regression model coefficients converted to integer scores that have been published earlier. <b> Aims:</b> The present study was done to validate the scoring system by predicting outcomes in a fresh data set. <b> Setting:</b> Intensive care unit in a tertiary referral hospital <b> Design:</b> Prospective <b> Materials and Methods:</b> 125 admissions to the intensive care unit were evaluated so that the SICK score and the PRISM score could be calculated. In-hospital mortality was noted <b> Statistical Analysis:</b> Calibration (Hosmer-Lemeshow goodness of fit) and discrimination (area under the ROC curve) were used to measure performance. <b> Results:</b> Of the 125 patients studied 23 died. The area under the ROC curve was 0.76 compared to 0.80 in the development sample. Using PRISM in the validation group, the ROC was 0.78. Calibration was excellent. <b> Conclusion:</b> The SICK score can predict severity of illness with nearly the same accuracy as the PRISM score. The SICK score can be calculated immediately on admission and can help to prioritize care for the more sick children who need urgent aggressive management. Larger studies, that includes all admissions to the hospital, will now need to be done.http://www.jpgmonline.com/article.asp?issn=0022-3859;year=2006;volume=52;issue=2;spage=102;epage=105;aulast=BhalPRISM scoremultiple organ dysfunction syndromesystemic inflammatory response syndrome
collection DOAJ
language English
format Article
sources DOAJ
author Bhal S
Tygai V
Kumar N
Sreenivas V
Puliyel Jacob
spellingShingle Bhal S
Tygai V
Kumar N
Sreenivas V
Puliyel Jacob
Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illness
Journal of Postgraduate Medicine
PRISM score
multiple organ dysfunction syndrome
systemic inflammatory response syndrome
author_facet Bhal S
Tygai V
Kumar N
Sreenivas V
Puliyel Jacob
author_sort Bhal S
title Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illness
title_short Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illness
title_full Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illness
title_fullStr Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illness
title_full_unstemmed Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illness
title_sort signs of inflammation in children that can kill ( sick score): preliminary prospective validation of a new non-invasive measure of severity-of-illness
publisher Wolters Kluwer Medknow Publications
series Journal of Postgraduate Medicine
issn 0022-3859
0972-2823
publishDate 2006-01-01
description <b>Background</b> : Signs of Inflammation in Children that can Kill (SICK score) is a new severity-of-illness score. It uses the physical signs of the Systemic Inflammatory Response Syndrome (SIRS) and its continuum - the Multiple Organ Dysfunction Syndrome (MODS). The development of the score used multiple logistic regression model coefficients converted to integer scores that have been published earlier. <b> Aims:</b> The present study was done to validate the scoring system by predicting outcomes in a fresh data set. <b> Setting:</b> Intensive care unit in a tertiary referral hospital <b> Design:</b> Prospective <b> Materials and Methods:</b> 125 admissions to the intensive care unit were evaluated so that the SICK score and the PRISM score could be calculated. In-hospital mortality was noted <b> Statistical Analysis:</b> Calibration (Hosmer-Lemeshow goodness of fit) and discrimination (area under the ROC curve) were used to measure performance. <b> Results:</b> Of the 125 patients studied 23 died. The area under the ROC curve was 0.76 compared to 0.80 in the development sample. Using PRISM in the validation group, the ROC was 0.78. Calibration was excellent. <b> Conclusion:</b> The SICK score can predict severity of illness with nearly the same accuracy as the PRISM score. The SICK score can be calculated immediately on admission and can help to prioritize care for the more sick children who need urgent aggressive management. Larger studies, that includes all admissions to the hospital, will now need to be done.
topic PRISM score
multiple organ dysfunction syndrome
systemic inflammatory response syndrome
url http://www.jpgmonline.com/article.asp?issn=0022-3859;year=2006;volume=52;issue=2;spage=102;epage=105;aulast=Bhal
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