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Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness
OBJECTIVE: To validate the SICK scoring system's ability to differentiate between individuals with higher and lower probabilities of death METHOD: We performed a one year two-centre prospective evaluation of all children aged between one month and 12 years referred to the Paediatric team at St...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873401/ https://www.ncbi.nlm.nih.gov/pubmed/20420670 http://dx.doi.org/10.1186/1824-7288-36-35 |
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author | Gupta, Manoj A Chakrabarty, Anjan Halstead, Ruth Sahni, Mohit Rangasami, Jayanti Puliyel, Ashish Sreenivas, Vishnubhatla Green, David A Puliyel, Jacob M |
author_facet | Gupta, Manoj A Chakrabarty, Anjan Halstead, Ruth Sahni, Mohit Rangasami, Jayanti Puliyel, Ashish Sreenivas, Vishnubhatla Green, David A Puliyel, Jacob M |
author_sort | Gupta, Manoj A |
collection | PubMed |
description | OBJECTIVE: To validate the SICK scoring system's ability to differentiate between individuals with higher and lower probabilities of death METHOD: We performed a one year two-centre prospective evaluation of all children aged between one month and 12 years referred to the Paediatric team at St Stephens Hospital in Delhi and admitted to the Paediatric Department at West Middlesex University Hospital in London. We calculated SICK scores at presentation and correlated them with subsequent in-hospital mortality. We used discrimination by areas under receiver operating characteristic (ROC) curves to measure performance. RESULTS: We prospectively evaluated 3895 children in Delhi and 1473 children in London. The areas under the ROC curves were 84.8% in Delhi, 81.0% in London and 84.1% (95% CI 77.4 - 90.8%) for combined data. Hosmer-Lemeshow goodness of fit for the combined data was good (Hosmer-Lemeshow Chi-square = 2.13 (p = 0.345). CONCLUSIONS: We propose the SICK score as a useful triage tool at initial presentation and highlight its particular suitability for resource poor settings. |
format | Text |
id | pubmed-2873401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28734012010-05-20 Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness Gupta, Manoj A Chakrabarty, Anjan Halstead, Ruth Sahni, Mohit Rangasami, Jayanti Puliyel, Ashish Sreenivas, Vishnubhatla Green, David A Puliyel, Jacob M Ital J Pediatr Research OBJECTIVE: To validate the SICK scoring system's ability to differentiate between individuals with higher and lower probabilities of death METHOD: We performed a one year two-centre prospective evaluation of all children aged between one month and 12 years referred to the Paediatric team at St Stephens Hospital in Delhi and admitted to the Paediatric Department at West Middlesex University Hospital in London. We calculated SICK scores at presentation and correlated them with subsequent in-hospital mortality. We used discrimination by areas under receiver operating characteristic (ROC) curves to measure performance. RESULTS: We prospectively evaluated 3895 children in Delhi and 1473 children in London. The areas under the ROC curves were 84.8% in Delhi, 81.0% in London and 84.1% (95% CI 77.4 - 90.8%) for combined data. Hosmer-Lemeshow goodness of fit for the combined data was good (Hosmer-Lemeshow Chi-square = 2.13 (p = 0.345). CONCLUSIONS: We propose the SICK score as a useful triage tool at initial presentation and highlight its particular suitability for resource poor settings. BioMed Central 2010-04-26 /pmc/articles/PMC2873401/ /pubmed/20420670 http://dx.doi.org/10.1186/1824-7288-36-35 Text en Copyright ©2010 Gupta et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Gupta, Manoj A Chakrabarty, Anjan Halstead, Ruth Sahni, Mohit Rangasami, Jayanti Puliyel, Ashish Sreenivas, Vishnubhatla Green, David A Puliyel, Jacob M Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness |
title | Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness |
title_full | Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness |
title_fullStr | Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness |
title_full_unstemmed | Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness |
title_short | Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness |
title_sort | validation of "signs of inflammation in children that kill" (sick) score for immediate non-invasive assessment of severity of illness |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873401/ https://www.ncbi.nlm.nih.gov/pubmed/20420670 http://dx.doi.org/10.1186/1824-7288-36-35 |
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