Abstract
Acute febrile illness with varied aetiology but similar symptoms is common in tropical countries. This prospective, multicentre study was conducted in selected centres in the province of Kerala in India principally to analyse the aetiology of acute febrile illnesses in adult patients over the course of one year. Overall, 1324 patients were included in the study. The most common cause was dengue in 576 patients (43.5%). In 396 (29.9%), the exact aetiology could not be identified. Other causes, in order, were leptospirosis, enteric fever, malaria, respiratory tract infection, urinary tract infection and typhus. When such a wide variation with a significant number of ‘indeterminate’ cases exists, especially in such a small area and with limited resources, the onus is on public health authorities to draw up an ‘easy-to-use algorithm’ to tackle epidemics of febrile illness, particularly in the monsoon season.
Keywords
Introduction
Acute undifferentiated febrile illnesses (AUFI) are common in the tropics. However, in a large country such as India there is variation even from area to area.1–4 Kerala is one such province in the southern part of India.
Acute fever cases in which no focus of infection can be elucidated by history, physical examination or routine investigations in the early stages are referred to as AUFI. Common causes of AUFI described from the tropics include dengue, malaria, leptospirosis, scrub typhus, enteric fever, viral hepatitis, influenza, chikungunya and hanta virus infection. In the western world, acute febrile illness is mainly due to non-specific viral illnesses.
Many of the tropical diseases causing AUFI have similar presentations. Patients undergo various investigations which inevitably delay treatment and increase the cost. In spite of recurring epidemics, scientific data about these epidemics remain scanty. It is in this background that a study on AUFI was planned in multiple centres in Kerala.
Patients and methods
Ours was a prospective observational study conducted at Government Medical College Hospital, Thrissur and M.O.S.C Medical College Hospital, Kolenchery. Both these hospitals serve three adjoining districts (Figure 1). The period of study was 15 July 2014 to 14 July 2015.
Map showing Thrissur, Malappuram, Palakkad, Ernakulam, Kottayam and Idukki districts from where fever cases were admitted in Government Medical College, Thrissur and M.O.S.C Medical College, Kolenchery.
Patients aged >13 years with an axillary temperature of 38℃ or higher of a duration of <2 weeks were included in the study. Excluded were critically ill patients and where accompanying persons were unable to provide details and trauma-related cases of fever. Patients having single organ involvement such as pneumonia, acute respiratory tract infection and urinary tract infection with symptoms and signs pertaining to the same were likewise excluded; however, those who did not have any specific symptoms were included.
To record clinical findings, investigators used a standardised case report form. The primary objective was to identify causes of acute fever using pre-set diagnostic criteria and laboratory tests. Data were entered into an Excel spreadsheet and analysed with Epi info version 7 statistical software. The protocol and related documents were approved by the regional ethics committee of both institutions.
Results
Age and gender of patients with acute febrile illness.
Values are presented as n (%).
Aetiology.
Outcome.
Discussion
The syndrome of acute febrile illnesses may have varied aetiology and may be influenced by local outbreaks which vary from continent to continent, nation to nation and even area to area in the same country. In this hospital-based prospective multicentre study, the first of its kind from Kerala, patients admitted with acute febrile illness were analysed. The major causes of acute febrile illness were dengue, ‘undiagnosed fever’, leptopirosis, enteric fever and malaria.
Dengue was the leading cause and has been documented in Kerala as early as 1979. 5 However, in recent years, there has been a steep increase in its incidence. During the epidemic of 2013, 75,808 cases and 193 deaths were reported in India. Kerala ranked second in dengue mortality. 6 In a significant group (n = 396, 29.9%), the cause of fever was undiagnosed. Owing to limited resources, an evaluation of the aetiology could not be done in these cases. This is a distinct limitation of our study. We hypothesise that most of these cases may be ‘viral fever’ or milder forms of dengue or leptospirosis where serological positivity (antibody formation) would be detected only later in the disease. In studies of AUFI from other tropical regions of the world, this phenomenon of ‘undiagnosed fever’ is commonly reported.1,7–9 Leptospirosis, the third leading cause of acute febrile illness in our study, has been reported from Kerala since as early as 1990. Rapid urbanisation and construction activities have led to an ever-increasing number of cases since then. 10 There is a higher incidence during the monsoon and immediate post-monsoon period.2,10 Malaria is also emerging as an important cause of fever in Kerala, owing to a migrant population from north India coming as construction and agricultural field workers. 11
Even for a small area like Kerala, the variation in the aetiological profile that spans time and region has been highlighted in this study, when comparison is made to an earlier single-centre study from one of the participating centres of this study. 2 In that study, ‘presumed viral fever’ formed the single largest group (51.5%) followed by leptospirosis, dengue, typhoid and malaria.
Since symptomatology in acute febrile illness may be varied, they have a poor predictive value in determining aetiology. 9 This study was no exception. Likewise, leucopenia and thrombocytopenia may occur in several common diseases and transaminase levels are none too specific either.
AUFI continues to be a challenge to tropical countries. An ‘easy-to-follow’ algorithm may mitigate the challenge to diagnosis. Such an algorithm has been suggested in an earlier study 2 from one of the participating centres of this study. However, such algorithms are limited by variation in aetiology, resources and commitment of the health provider. Hence, the algorithm needs to be modified / tailor-made to suit the needs of a particular centre and validated periodically.
Footnotes
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by a grant from the Indian Council of Medical Research (ICMR): IRIS No. 2012-27520/F. No. 5/6/3/12-RM.
