Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.

BACKGROUND: Dengue and chikungunya are co-circulating vector-borne diseases with substantial overlap in clinical presentations. It is important to differentiate between them during first presentation as their management, especially for dengue hemorrhagic fever (DHF), is different. This study compare...

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Main Authors: Vernon J Lee, Angela Chow, Xiaohui Zheng, Luis R Carrasco, Alex R Cook, David C Lye, Lee-Ching Ng, Yee-Sin Leo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Neglected Tropical Diseases
Online Access:http://europepmc.org/articles/PMC3459852?pdf=render
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spelling doaj-0cb66d83a4284eec8f27667101ec73342020-11-25T01:01:26ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352012-01-0169e178610.1371/journal.pntd.0001786Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.Vernon J LeeAngela ChowXiaohui ZhengLuis R CarrascoAlex R CookDavid C LyeLee-Ching NgYee-Sin LeoBACKGROUND: Dengue and chikungunya are co-circulating vector-borne diseases with substantial overlap in clinical presentations. It is important to differentiate between them during first presentation as their management, especially for dengue hemorrhagic fever (DHF), is different. This study compares their clinical presentation in Singapore adults to derive predictors to assist doctors in diagnostic decision-making. METHODS: We compared 117 patients with chikungunya infection diagnosed with reverse transcription-polymerase chain reaction (RT-PCR) with 917 dengue RT-PCR-positive adult patients (including 55 with DHF). We compared dengue fever (DF), DHF, and chikungunya infections by evaluating clinical characteristics of dengue and chikungunya; developing classification tools via multivariate logistic regression models and classification trees of disease etiology using clinical and laboratory factors; and assessing the time course of several clinical variables. FINDINGS: At first presentation to hospital, significantly more chikungunya patients had myalgia or arthralgia, and fewer had a sore throat, cough (for DF), nausea, vomiting, diarrhea, abdominal pain, anorexia or tachycardia than DF or DHF patients. From the decision trees, platelets <118 × 10(9)/L was the only distinguishing feature for DF versus chikungunya with an overall correct classification of 89%. For DHF versus chikungunya using platelets <100 × 10(9)/L and the presence of bleeding, the overall correct classification was 98%. The time course analysis supported platelet count as the key distinguishing variable. INTERPRETATION: There is substantial overlap in clinical presentation between dengue and chikungunya infections, but simple clinical and laboratory variables can predict these infections at presentation for appropriate management.http://europepmc.org/articles/PMC3459852?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Vernon J Lee
Angela Chow
Xiaohui Zheng
Luis R Carrasco
Alex R Cook
David C Lye
Lee-Ching Ng
Yee-Sin Leo
spellingShingle Vernon J Lee
Angela Chow
Xiaohui Zheng
Luis R Carrasco
Alex R Cook
David C Lye
Lee-Ching Ng
Yee-Sin Leo
Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.
PLoS Neglected Tropical Diseases
author_facet Vernon J Lee
Angela Chow
Xiaohui Zheng
Luis R Carrasco
Alex R Cook
David C Lye
Lee-Ching Ng
Yee-Sin Leo
author_sort Vernon J Lee
title Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.
title_short Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.
title_full Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.
title_fullStr Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.
title_full_unstemmed Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.
title_sort simple clinical and laboratory predictors of chikungunya versus dengue infections in adults.
publisher Public Library of Science (PLoS)
series PLoS Neglected Tropical Diseases
issn 1935-2727
1935-2735
publishDate 2012-01-01
description BACKGROUND: Dengue and chikungunya are co-circulating vector-borne diseases with substantial overlap in clinical presentations. It is important to differentiate between them during first presentation as their management, especially for dengue hemorrhagic fever (DHF), is different. This study compares their clinical presentation in Singapore adults to derive predictors to assist doctors in diagnostic decision-making. METHODS: We compared 117 patients with chikungunya infection diagnosed with reverse transcription-polymerase chain reaction (RT-PCR) with 917 dengue RT-PCR-positive adult patients (including 55 with DHF). We compared dengue fever (DF), DHF, and chikungunya infections by evaluating clinical characteristics of dengue and chikungunya; developing classification tools via multivariate logistic regression models and classification trees of disease etiology using clinical and laboratory factors; and assessing the time course of several clinical variables. FINDINGS: At first presentation to hospital, significantly more chikungunya patients had myalgia or arthralgia, and fewer had a sore throat, cough (for DF), nausea, vomiting, diarrhea, abdominal pain, anorexia or tachycardia than DF or DHF patients. From the decision trees, platelets <118 × 10(9)/L was the only distinguishing feature for DF versus chikungunya with an overall correct classification of 89%. For DHF versus chikungunya using platelets <100 × 10(9)/L and the presence of bleeding, the overall correct classification was 98%. The time course analysis supported platelet count as the key distinguishing variable. INTERPRETATION: There is substantial overlap in clinical presentation between dengue and chikungunya infections, but simple clinical and laboratory variables can predict these infections at presentation for appropriate management.
url http://europepmc.org/articles/PMC3459852?pdf=render
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