Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53746
Title: Validation of dengue infection severity score
Authors: Surangrat Pongpan
Jayanton Patumanond
Apichart Wisitwong
Chamaiporn Tawichasri
Sirianong Namwongprom
Keywords: Medicine
Issue Date: 6-Mar-2014
Abstract: 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84896890600&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53746
ISSN: 11791594
Appears in Collections:CMUL: Journal Articles

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