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...

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Main Authors: Surangrat Pongpan, Jayanton Patumanond, Apichart Wisitwong, Chamaiporn Tawichasri, Sirianong Namwongprom
Format: Journal
Published: 2018
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84896890600&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/45123
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-451232018-01-24T06:05:39Z Validation of dengue infection severity score Surangrat Pongpan Jayanton Patumanond Apichart Wisitwong Chamaiporn Tawichasri Sirianong Namwongprom 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. © 2014 Pongpan et al. 2018-01-24T06:05:39Z 2018-01-24T06:05:39Z 2014-03-06 Journal 11791594 2-s2.0-84896890600 10.2147/RMHP.S57257 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84896890600&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45123
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
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. © 2014 Pongpan et al.
format Journal
author Surangrat Pongpan
Jayanton Patumanond
Apichart Wisitwong
Chamaiporn Tawichasri
Sirianong Namwongprom
spellingShingle Surangrat Pongpan
Jayanton Patumanond
Apichart Wisitwong
Chamaiporn Tawichasri
Sirianong Namwongprom
Validation of dengue infection severity score
author_facet Surangrat Pongpan
Jayanton Patumanond
Apichart Wisitwong
Chamaiporn Tawichasri
Sirianong Namwongprom
author_sort Surangrat Pongpan
title Validation of dengue infection severity score
title_short 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_sort validation of dengue infection severity score
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84896890600&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/45123
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