Literature DB >> 23022142

Comparisons of dengue illness classified based on the 1997 and 2009 World Health Organization dengue classification schemes.

Ching-Yen Tsai1, Ing-Kit Lee, Chen-Hsiang Lee, Kuender D Yang, Jien-Wei Liu.   

Abstract

BACKGROUND/
PURPOSE: Dengue cases, traditionally classified as dengue fever (DF) or dengue hemorrhagic fever (DHF) by the World Health Organization (WHO) dengue classification 1997 scheme, are categorized into Group A (without warning signs), Group B [with warning signs (e.g., abdominal pain/vomiting/fluid accumulation/mucosal bleeding/lethargy/liver enlargement/increasing hematocrit with decreasing platelets)], or Group C (severe plasma leakage/severe bleeding/organ failure) by the WHO 2009 version. We compared differences in clinical/laboratory features between patients separately classified as DF/DHF and in Group A/B/C.
METHODS: We performed a retrospective analysis of dengue patients diagnosed between 2008 and 2010.
RESULTS: A total of 148 adult patients (119 DF/29 DHF; 64 Group A/77 Group B/7 Group C) were included. Compared with DF, significantly younger age, lower hospitalization rate, and higher platelet count were found in Group A. Compared with DHF, higher platelet count was found in Group B. Six of seven patients (86%) classified as Group C fulfilled the criteria of DHF. A cross tabulation showed DF cases were distributed in all of the severity groups stratified by the WHO dengue 2009 scheme (53.8% Group A/45.4% Group B/0.8% Group C); of the DHF cases, 23 (79%) were categorized as Group B, and six (20.7%) as Group C. All patients in Group A fell into the category DF.
CONCLUSION: The WHO 2009 scheme is effective in identifying severe dengue cases. Heterogeneity in severity suggests careful severity discrimination in patients classified in Group B is needed. Our data suggest that it is safe to treat patients classified as Group A on an outpatient basis.
Copyright © 2012. Published by Elsevier B.V.

Entities:  

Keywords:  Classification schemes; Dengue fever; Dengue hemorrhagic fever; Warning signs; World Health Organization

Mesh:

Year:  2012        PMID: 23022142     DOI: 10.1016/j.jmii.2012.07.005

Source DB:  PubMed          Journal:  J Microbiol Immunol Infect        ISSN: 1684-1182            Impact factor:   4.399


  14 in total

1.  WHO dengue case classification 2009 and its usefulness in practice: an expert consensus in the Americas.

Authors:  Olaf Horstick; Eric Martinez; Maria Guadalupe Guzman; Jose Luis San Martin; Silvia Runge Ranzinger
Journal:  Pathog Glob Health       Date:  2015-01-28       Impact factor: 2.894

2.  Clinical signs and symptoms associated with WHO severe dengue classification: a systematic review and meta-analysis.

Authors:  Tha Pyai Htun; Zhonghui Xiong; Junxiong Pang
Journal:  Emerg Microbes Infect       Date:  2021-12       Impact factor: 7.163

3.  Increased production of interleukin-4, interleukin-10, and granulocyte-macrophage colony-stimulating factor by type 2 diabetes' mononuclear cells infected with dengue virus, but not increased intracellular viral multiplication.

Authors:  Ing-Kit Lee; Ching-Jung Hsieh; Rong-Fu Chen; Zih-Syuan Yang; Lin Wang; Chang-Mei Chen; Chiung-Fen Liu; Chung-Hao Huang; Chun-Yu Lin; Yen-Hsu Chen; Kuender D Yang; Jien-Wei Liu
Journal:  Biomed Res Int       Date:  2013-09-02       Impact factor: 3.411

4.  Utility of warning signs in guiding admission and predicting severe disease in adult dengue.

Authors:  Yee-Sin Leo; Victor C Gan; Ee-Ling Ng; Ying Hao; Lee-Ching Ng; Kwoon-Yong Pok; Frederico Dimatatac; Chi-Jong Go; David C Lye
Journal:  BMC Infect Dis       Date:  2013-10-24       Impact factor: 3.090

5.  The usefulness of clinical-practice-based laboratory data in facilitating the diagnosis of dengue illness.

Authors:  Jien-Wei Liu; Ing-Kit Lee; Lin Wang; Rong-Fu Chen; Kuender D Yang
Journal:  Biomed Res Int       Date:  2013-12-19       Impact factor: 3.411

Review 6.  Comparing the usefulness of the 1997 and 2009 WHO dengue case classification: a systematic literature review.

Authors:  Olaf Horstick; Thomas Jaenisch; Eric Martinez; Axel Kroeger; Lucy Lum Chai See; Jeremy Farrar; Silvia Runge Ranzinger
Journal:  Am J Trop Med Hyg       Date:  2014-06-23       Impact factor: 2.345

7.  Use of simple clinical and laboratory predictors to differentiate influenza from dengue and other febrile illnesses in the emergency room.

Authors:  Shi-Yu Huang; Ing-Kit Lee; Lin Wang; Jien-Wei Liu; Shih-Chiang Hung; Chien-Chih Chen; Tzu-Yao Chang; Wen-Chi Huang
Journal:  BMC Infect Dis       Date:  2014-11-25       Impact factor: 3.090

8.  Evaluation of the WHO classification of dengue disease severity during an epidemic in 2011 in the state of Ceará, Brazil.

Authors:  Luciano Pamplona de Góes Cavalcanti; Lia Alves Martins Mota; Gustavo Porto Lustosa; Mayara Carvalho Fortes; Davi Alves Martins Mota; Antônio Afonso Bezerra Lima; Ivo Castelo Branco Coelho; Maria Paula Gomes Mourão
Journal:  Mem Inst Oswaldo Cruz       Date:  2014-02       Impact factor: 2.743

9.  Discovery and Validation of Prognostic Biomarker Models to Guide Triage among Adult Dengue Patients at Early Infection.

Authors:  Junxiong Pang; Anna Lindblom; Thomas Tolfvenstam; Tun-Linn Thein; Ahmad Nazri Mohamed Naim; Ling Ling; Angelia Chow; Mark I-Cheng Chen; Eng Eong Ooi; Yee Sin Leo; Martin L Hibberd
Journal:  PLoS One       Date:  2016-06-10       Impact factor: 3.240

10.  Aberrant monocyte responses predict and characterize dengue virus infection in individuals with severe disease.

Authors:  Yean K Yong; Hong Y Tan; Soe Hui Jen; Esaki M Shankar; Santha K Natkunam; Jameela Sathar; Rishya Manikam; Shamala D Sekaran
Journal:  J Transl Med       Date:  2017-05-31       Impact factor: 5.531

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.