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Validation of dengue infection severity score
OBJECTIVE: To validate a simple scoring system to classify dengue viral infection severity to patients in different settings. METHODS: The developed scoring system derived from 777 patients from three tertiary-care hospitals was applied to 400 patients in the validation data obtained from another th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949730/ https://www.ncbi.nlm.nih.gov/pubmed/24623999 http://dx.doi.org/10.2147/RMHP.S57257 |
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author | Pongpan, Surangrat Patumanond, Jayanton Wisitwong, Apichart Tawichasri, Chamaiporn Namwongprom, Sirianong |
author_facet | Pongpan, Surangrat Patumanond, Jayanton Wisitwong, Apichart Tawichasri, Chamaiporn Namwongprom, Sirianong |
author_sort | Pongpan, Surangrat |
collection | PubMed |
description | OBJECTIVE: To validate a simple scoring system to classify dengue viral infection severity to patients in different settings. METHODS: The developed scoring system derived from 777 patients from three tertiary-care hospitals was applied to 400 patients in the validation data obtained from another three tertiary-care hospitals. Percentage of correct classification, underestimation, and overestimation was compared. The score discriminative performance in the two datasets was compared by analysis of areas under the receiver operating characteristic curves. RESULTS: Patients in the validation data were different from those in the development data in some aspects. In the validation data, classifying patients into three severity levels (dengue fever, dengue hemorrhagic fever, and dengue shock syndrome) yielded 50.8% correct prediction (versus 60.7% in the development data), with clinically acceptable underestimation (18.6% versus 25.7%) and overestimation (30.8% versus 13.5%). Despite the difference in predictive performances between the validation and the development data, the overall prediction of the scoring system is considered high. CONCLUSION: The developed severity score may be applied to classify patients with dengue viral infection into three severity levels with clinically acceptable under- or overestimation. Its impact when used in routine clinical practice should be a topic for further study. |
format | Online Article Text |
id | pubmed-3949730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39497302014-03-12 Validation of dengue infection severity score Pongpan, Surangrat Patumanond, Jayanton Wisitwong, Apichart Tawichasri, Chamaiporn Namwongprom, Sirianong Risk Manag Healthc Policy OBJECTIVE: To validate a simple scoring system to classify dengue viral infection severity to patients in different settings. METHODS: The developed scoring system derived from 777 patients from three tertiary-care hospitals was applied to 400 patients in the validation data obtained from another three tertiary-care hospitals. Percentage of correct classification, underestimation, and overestimation was compared. The score discriminative performance in the two datasets was compared by analysis of areas under the receiver operating characteristic curves. RESULTS: Patients in the validation data were different from those in the development data in some aspects. In the validation data, classifying patients into three severity levels (dengue fever, dengue hemorrhagic fever, and dengue shock syndrome) yielded 50.8% correct prediction (versus 60.7% in the development data), with clinically acceptable underestimation (18.6% versus 25.7%) and overestimation (30.8% versus 13.5%). Despite the difference in predictive performances between the validation and the development data, the overall prediction of the scoring system is considered high. CONCLUSION: The developed severity score may be applied to classify patients with dengue viral infection into three severity levels with clinically acceptable under- or overestimation. Its impact when used in routine clinical practice should be a topic for further study. Dove Medical Press 2014-03-06 /pmc/articles/PMC3949730/ /pubmed/24623999 http://dx.doi.org/10.2147/RMHP.S57257 Text en © 2014 Pongpan et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Pongpan, Surangrat Patumanond, Jayanton Wisitwong, Apichart Tawichasri, Chamaiporn Namwongprom, Sirianong Validation of dengue infection severity score |
title | Validation of dengue infection severity score |
title_full | Validation of dengue infection severity score |
title_fullStr | Validation of dengue infection severity score |
title_full_unstemmed | Validation of dengue infection severity score |
title_short | Validation of dengue infection severity score |
title_sort | validation of dengue infection severity score |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949730/ https://www.ncbi.nlm.nih.gov/pubmed/24623999 http://dx.doi.org/10.2147/RMHP.S57257 |
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