Sensitivity and specificity of a novel classifier for the early diagnosis of dengue
| Autor: | Tuan, NM, Nhan, HT, Chau, NV, Hung, NT, Tuan, HM, Tram, TV, Ha, ND, Loi, P, Quang, HK, Kien, DT, Hubbard, S, Chau, TN, Wills, Bridget, Wolbers, Marcel, Simmons, Cameron, Halstead, SB |
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| Přispěvatelé: | Halstead, S |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
lcsh:Arctic medicine. Tropical medicine Arboviral disease lcsh:RC955-962 030231 tropical medicine Dengue virus medicine.disease_cause Sensitivity and Specificity World health Dengue fever Dengue 03 medical and health sciences Leukocyte Count 0302 clinical medicine Patient age Internal medicine medicine Humans 030212 general & internal medicine Prospective Studies Prospective cohort study Child business.industry Platelet Count lcsh:Public aspects of medicine Public Health Environmental and Occupational Health Age Factors Diagnostic test lcsh:RA1-1270 medicine.disease 3. Good health Clinical trial Infectious Diseases Early Diagnosis Vietnam Immunology business Algorithms Research Article |
| Zdroj: | PLoS Neglected Tropical Diseases, Vol 9, Iss 4, p e0003638 (2015) PLoS Neglected Tropical Diseases PLOS Neglected Tropical Diseases |
| ISSN: | 1935-2735 1935-2727 |
| Popis: | Background Dengue is the commonest arboviral disease of humans. An early and accurate diagnosis of dengue can support clinical management, surveillance and disease control and is central to achieving the World Health Organisation target of a 50% reduction in dengue case mortality by 2020. Methods 5729 children with fever of Author Summary Dengue is a very common acute infectious disease in the tropical world. Health care professionals are able to better care for dengue patients if they can make an early diagnosis and make a plan for case management. This current study investigated fever in 5729 children in Vietnam with 3 days or less of fever and identified 1692 dengue cases using advanced, gold standard methods. We systematically collected a range of medical and laboratory findings on each patient when they entered the study and used statistical tools to determine if these medical and laboratory findings could enable early diagnosis, independent of sophisticated, gold-standard laboratory tests. Our results, called the Early Dengue Classifier, had performance characteristics suggesting it could improve the diagnostic proficiency of health care professionals. However the performance of the Early Dengue Classifier is not perfect and likely will not change the practice of experienced doctors in dengue endemic settings. Our study highlights the need for 2nd generation, easy-to-use rapid diagnostic tests that can accurately diagnose dengue in the first few days of fever. |
| Databáze: | OpenAIRE |
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