Dengue fever – predictors of disease severity and their influence on management
Author(s) -
Kolitha H. Sellahewa
Publication year - 2008
Publication title -
ceylon medical journal
Language(s) - English
Resource type - Journals
eISSN - 2386-1274
pISSN - 0009-0875
DOI - 10.4038/cmj.v53i3.245
Subject(s) - medicine , medical journal , ceylon , dengue fever , sri lanka , public health , alternative medicine , family medicine , relevance (law) , medline , south asia , pathology , law , political science , computer science , programming language , ethnology , history
The annual global figures for dengue fever (DF) and dengue haemorrhagic fever (DHF) are about 100 million and half a million respectively, and 90% of the patients are children <15 years [1]. Case fatality in Asia is 0.5 3.5% [2]. The first major epidemic in Sri Lanka was in 1989. The dengue pandemic in 1998 led to a resurgence of interest in its prevention and management. Clearly, early diagnosis and prompt, appropriate treatment of dengue prevent morbidity and mortality [3]. The majority of adult patients with dengue recover completely without specific interventions. It is necessary to identify the minority of patients early in the disease for close monitoring and appropriately timed fluid therapy to prevent progression to dengue shock syndrome (DSS). Achieving this requires the ability to predict disease severity.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom