Title |
Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
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Published in |
BMC Infectious Diseases, March 2016
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DOI | 10.1186/s12879-016-1440-3 |
Pubmed ID | |
Authors |
Thomas Jaenisch, Dong Thi Hoai Tam, Nguyen Tan Thanh Kieu, Tran Van Ngoc, Nguyen Tran Nam, Nguyen Van Kinh, Sophie Yacoub, Ngoun Chanpheaktra, Varun Kumar, Lucy Lum Chai See, Jameela Sathar, Ernesto Pleités Sandoval, Gabriela Maria Marón Alfaro, Ida Safitri Laksono, Yodi Mahendradhata, Malabika Sarker, Firoz Ahmed, Andrea Caprara, Bruno Souza Benevides, Ernesto T. A. Marques, Tereza Magalhaes, Patricia Brasil, Marco Netto, Adriana Tami, Sarah E. Bethencourt, Maria Guzman, Cameron Simmons, Nguyen Thanh Ha Quyen, Laura Merson, Nguyen Thi Phuong Dung, Dorothea Beck, Marius Wirths, Marcel Wolbers, Phung Khanh Lam, Kerstin Rosenberger, Bridget Wills |
Abstract |
The burden of dengue continues to increase globally, with an estimated 100 million clinically apparent infections occurring each year. Although most dengue infections are asymptomatic, patients can present with a wide spectrum of clinical symptoms ranging from mild febrile illness through to severe manifestations of bleeding, organ impairment, and hypovolaemic shock due to a systemic vascular leak syndrome. Clinical diagnosis of dengue and identification of which patients are likely to develop severe disease remain challenging. This study aims to improve diagnosis and clinical management through approaches designed a) to differentiate between dengue and other common febrile illness within 72 h of fever onset, and b) among patients with dengue to identify markers that are predictive of the likelihood of evolving to a more severe disease course. This is a prospective multi-centre observational study aiming to enrol 7-8000 participants aged ≥ 5 years presenting with a febrile illness consistent with dengue to outpatient health facilities in 8 countries across Asia and Latin America. Patients presenting within 72 h of fever onset who do not exhibit signs of severe disease are eligible for the study. A broad range of clinical and laboratory parameters are assessed daily for up to 6 days during the acute illness, and also at a follow up visit 1 week later. Data from this large cohort of patients, enrolled early with undifferentiated fever, will be used to develop a practical diagnostic algorithm and a robust clinical case definition for dengue. Additionally, among patients with confirmed dengue we aim to identify simple clinical and laboratory parameters associated with progression to a more severe disease course. We will also investigate early virological and serological correlates of severe disease, and examine genetic associations in this large heterogeneous cohort. In addition the results will be used to assess the new World Health Organization classification scheme for dengue in practice, and to update the guidelines for "Integrated Management of Childhood Illness" used in dengue-endemic countries. NCT01550016 . Registration Date: March 7, 2012. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
France | 1 | <1% |
Vietnam | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 185 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 34 | 18% |
Student > Bachelor | 28 | 15% |
Researcher | 21 | 11% |
Student > Postgraduate | 18 | 10% |
Student > Ph. D. Student | 16 | 8% |
Other | 32 | 17% |
Unknown | 40 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 62 | 33% |
Agricultural and Biological Sciences | 13 | 7% |
Biochemistry, Genetics and Molecular Biology | 9 | 5% |
Nursing and Health Professions | 8 | 4% |
Social Sciences | 8 | 4% |
Other | 36 | 19% |
Unknown | 53 | 28% |