Senaratne Thamarasi N, Noordeen Faseeha
Department of Microbiology, Faculty of Medicine, University of Peradeniya, Sri Lanka.
Department of Microbiology, Faculty of Medicine, University of Peradeniya, Sri Lanka
Trans R Soc Trop Med Hyg. 2014 Nov;108(11):685-91. doi: 10.1093/trstmh/tru131. Epub 2014 Sep 18.
Dengue fever (DF) is a mosquito borne virus infection which is endemic to the tropical regions of the world. In Sri Lanka, the first sero-positive case was reported in the 1960s; since then the island has experienced several outbreaks of DF/dengue haemorrhagic fever (DHF). The disease is more prevalent in some parts of the country where rapid urbanisation has taken place. Diagnosis of DF/DHF is mainly done using the clinical features only due to the unavailability of laboratory diagnosis in many parts of the country and this might lead to over or under diagnosis of the disease. A rational diagnostic approach which combines the history and clinical profiles together with specific virological laboratory data would help in the correct identification of the disease. Furthermore, a feasible algorithm for the laboratory diagnosis of dengue will help to confirm the cases with a high level of clinical suspicion. This would then facilitate the notification of correctly identified cases to the public health authorities to assess the dengue burden. The scope of this review is to improve the existing laboratory diagnosis of DF/DHF by proposing a feasible algorithm to implement in Sri Lanka that would enable better detection of cases.
登革热(DF)是一种由蚊子传播的病毒感染,在世界热带地区流行。在斯里兰卡,20世纪60年代报告了首例血清阳性病例;从那时起,该岛经历了几次登革热/登革出血热(DHF)疫情。这种疾病在该国一些快速城市化的地区更为普遍。由于该国许多地区无法进行实验室诊断,DF/DHF的诊断主要仅基于临床特征,这可能导致疾病的过度诊断或诊断不足。将病史和临床特征与特定的病毒学实验室数据相结合的合理诊断方法将有助于正确识别该疾病。此外,一种可行的登革热实验室诊断算法将有助于确诊高度疑似临床病例。这将便于向公共卫生当局通报正确识别的病例,以评估登革热负担。本综述的范围是通过提出一种在斯里兰卡实施的可行算法来改进现有的DF/DHF实验室诊断,从而实现更好的病例检测。