{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T01:44:52Z","timestamp":1776995092017,"version":"3.51.4"},"reference-count":28,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,11,12]],"date-time":"2013-11-12T00:00:00Z","timestamp":1384214400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100002842","name":"Chiang Mai University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002842","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ISRN Pediatrics"],"published-print":{"date-parts":[[2013,11,12]]},"abstract":"<jats:p><jats:italic>Objectives<\/jats:italic>. To develop a simple scoring system to predict dengue infection severity based on patient characteristics and routine clinical profiles. \n<jats:italic>Methods<\/jats:italic>. Retrospective data of children with dengue infection from 3 general hospitals in Thailand were reviewed. Dengue infection was categorized into 3 severity levels: dengue infection (DF), dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS). Coefficients of significant predictors of disease severity under ordinal regression analysis were transformed into item scores. Total scores were used to classify patients into 3 severity levels. <jats:italic>Results<\/jats:italic>. Significant clinical predictors of dengue infection severity were age &gt;6 years, hepatomegaly, hematocrit <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mo>\u2265<\/mml:mo><\/mml:mrow><\/mml:math>40%, systolic pressure &lt;90\u2009mmHg, white cell count &gt;5000\u2009\/<jats:italic>\u03bc<\/jats:italic>L, and platelet \u226450000\u2009\/<jats:italic>\u03bc<\/jats:italic>L. The derived total scores, which ranged from 0 to 18, classified patients into 3 severity levels: DF (scores &lt;2.5, <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mi>n<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>451<\/mml:mn><\/mml:math>, 58.1%), DHF (scores 2.5\u201311.5, <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mi>n<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>276<\/mml:mn><\/mml:math>, 35.5%), and DSS (scores &gt;11.5, <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\"><mml:mi>n<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>50<\/mml:mn><\/mml:math>, 6.4%). The derived score correctly classified patients into their original severity levels in 60.7%. An under-estimation of 25.7% and an over-estimation of 13.5% were clinically acceptable. <jats:italic>Conclusions<\/jats:italic>. The derived dengue infection severity score classified patients into DF, DHF, or DSS, correctly into their original severity levels. Validation of the score should be reconfirmed before application of routine practice.<\/jats:p>","DOI":"10.1155\/2013\/845876","type":"journal-article","created":{"date-parts":[[2013,11,12]],"date-time":"2013-11-12T21:11:49Z","timestamp":1384290709000},"page":"1-6","source":"Crossref","is-referenced-by-count":35,"title":["Development of Dengue Infection Severity Score"],"prefix":"10.1155","volume":"2013","author":[{"given":"Surangrat","family":"Pongpan","sequence":"first","affiliation":[{"name":"Program in Clinical Epidemiology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand"},{"name":"Department of Occupational Medicine, Phrae Hospital, Phrae 54000, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7154-4206","authenticated-orcid":true,"given":"Apichart","family":"Wisitwong","sequence":"additional","affiliation":[{"name":"Department of Social Medicine, Sawanpracharak Hospital, Nakorn Sawan 60000, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chamaiporn","family":"Tawichasri","sequence":"additional","affiliation":[{"name":"Clinical Epidemiology Society at Chiang Mai, Chiang Mai 50200, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8977-2995","authenticated-orcid":true,"given":"Jayanton","family":"Patumanond","sequence":"additional","affiliation":[{"name":"Clinical Epidemiology Unit, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sirianong","family":"Namwongprom","sequence":"additional","affiliation":[{"name":"Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, 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