Indan Journal of Medical Research Indan Journal of Medical Research Indan Journal of Medical Research
  Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login  
  Home Print this page Email this page Small font sizeDefault font sizeIncrease font size Users Online: 1693       

   Table of Contents      
STUDENT IJMR
Year : 2020  |  Volume : 152  |  Issue : 5  |  Page : 527-530

Upsurge of chikungunya cases in Uttar Pradesh, India


1 Faculty of Medicine, King George's Medical University, Lucknow, Uttar Pradesh, India
2 Department of Microbiology, King George's Medical University, Lucknow, Uttar Pradesh, India

Date of Submission25-Dec-2018
Date of Web Publication8-Mar-2021

Correspondence Address:
Dr. Amita Jain
Department of Microbiology, King George's Medical University, Lucknow 226 003, Uttar Pradesh
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijmr.IJMR_2303_18

Rights and Permissions
   Abstract 

Background & objectives: Chikungunya (CHIK) re-emerged in India in 2006 after a gap of three decades. In Uttar Pradesh (UP), <100 confirmed cases per million were reported during this outbreak. Based on an upsurge of CHIK cases at UP, this retrospective study was conducted to investigate clinical and serological profile of CHIK cases in UP.
Methods: A retrospective study was done on all clinically suspected CHIK cases that had been tested by ELISA for anti-CHIK virus IgM antibodies from September 2012 to December 2017. Based on clinical features, a subset of patients had earlier been tested serologically for dengue and Japanese encephalitis (JE).
Results: Of the 3240 cases enrolled, 771 (23.8%) were seropositive. Patients had a range of clinical manifestations with seropositivity highest in those exhibiting arthralgia with fever (40%), followed by fever of unknown origin (FUO) (22%), encephalitis (13%) and fever with rash (12%). Cases (total, seropositive) increased over 20-fold in 2016 (1389, 412) and 2017 (1619, 341), compared to 2012-2015. Nearly a third of dengue serology-positive cases and a fifth of JE serology-positive cases were co-positive for CHIKV.
Interpretation & conclusions: Archival data from 2006-2011 and data from this study (2012-2017) indicated that UP experienced first CHIK outbreak in the decade in 2016, as part of a large-scale upsurge across northern India. CHIK should be considered as a differential diagnosis in patients presenting with fever of unknown origin or fever with rash or acute encephalitis, in addition to classical arthralgia.

Keywords: Acute febrile illness - arbovirus - chikungunya - encephalitis - fever of unknown origin - Uttar Pradesh


How to cite this article:
Ozair A, Khan DN, Prakash S, Bhagat A, Verma A, Shukla S, Jain A. Upsurge of chikungunya cases in Uttar Pradesh, India. Indian J Med Res 2020;152:527-30

How to cite this URL:
Ozair A, Khan DN, Prakash S, Bhagat A, Verma A, Shukla S, Jain A. Upsurge of chikungunya cases in Uttar Pradesh, India. Indian J Med Res [serial online] 2020 [cited 2021 May 12];152:527-30. Available from: https://www.ijmr.org.in/text.asp?2020/152/5/527/310883

Chikungunya (CHIK), an arboviral illness transmitted by Aedes mosquitoes, is globally considered as a re-emerging disease[1],[2],[3]. In India, after an epidemic in 1973, it had been silent till its re-emergence in 2005-2006[4],[5]. Since then, its epidemic has been ongoing in many States, with significant affliction of the populace[4],[5],[6],[7]. The National Vector Borne Disease Control Programme, Government of India, reported 12205 confirmed cases for 2019[8]. Classically, it manifests as arthralgia, myalgia, high-grade fever, headache and/or rash[5]. Due to lack of vaccination and pharmacotherapy, prevention and supportive care are mainstays of management[8],[9]. Knowledge of its epidemiology, the basis of primary prevention, is thus important in tackling outbreaks.

Uttar Pradesh (UP), being heavily infested by Aedes, has long been endemic for dengue[10] but it had <100 confirmed cases of CHIK per million people during 2006-2011. The State was also unaffected by 2006 CHIK outbreak, despite its virus (CHIKV) being carried by the same vector as dengue, with <100/million confirmed cases[11]. The objective of this study was to determine the clinical, demographic and serological profile in CHIK cases tested at an apex public referral centre of UP.


   Material & Methods Top


This retrospective study was conducted in June 2018 on data of all cases tested for anti-CHIKV IgM antibody from September 2012 to December 2017 at Viral Research and Diagnostic Laboratory, department of Microbiology, King George's Medical University, Lucknow, India. The Institutional Ethics Committee had approved the study (90th ECM II B-FS/P8).

Considering clinical features, a subset of samples had been tested for Dengue Virus (DENV) using NS1 antigen and/or IgM antibody based on duration of fever[12]. A subset of patients presenting with acute encephalitis syndrome (AES), had been tested for anti-CHIKV IgM antibody, along with anti-Japanese encephalitis virus (JEV) IgM antibody. All serology kits were ELISA-based (ICMR-National Institute of Virology, Pune, India). Based on clinical manifestations, patients had been categorized either as arthralgia with fever (classical of CHIK), fever with rash, fever of unknown origin (FUO) or acute encephalitis syndrome (AES), while all had been tested for anti-CHIKV IgM antibody. Their clinical history had been recorded and informed consent obtained during testing for future serological research.

Inter-group comparisons of categorical and continuous variables were done using Chi-square and Fischer's exact test, respectively. The correlation between continuous variables was assessed by Pearson's coefficient. Meteorological data were obtained from www.wunderground.com.


   Results & Discussion Top


Three thousand two hundred and forty cases were included, with seropositivity of 23.8 per cent (n=771). While total and seropositive cases were <100 annually in 2012-2015, they increased over 20-fold in 2016 and 2017 [Figure 1]A. Based on archival data of 2006-2011[11], and the present data from 2012-2017, it was found that there were <100 confirmed CHIK cases per million in UP annually during 2006-2015, despite multiple outbreaks in adjoining States of Delhi and Madhya Pradesh, having a significant inter-provincial population flux[11]. The upsurge suggested that UP had its first CHIK outbreak in the decade (2006-2016). Sequencing and phylogenetic analysis on E1 gene done at our institution demonstrated that the 2016 outbreak had the same causative viral strain in UP and Delhi[13]. All three States had dengue outbreaks in this period, with the same vector as CHIK[10].
Figure 1: (A) Year-wise distribution of chikungunya cases in Uttar Pradesh depicting total number of cases tested for anti-chikungunya IgM antibody and the number found seropositive. (B) Sex distribution of cases tested and seropositive cases per year. (C) Distribution of the four clinical presentations of seropositive cases per year. (D) Monthly distribution of seropositive cases per year.

Click here to view


The female-to-male case ratio (794:1000) was significantly different from sex ratio (912:1000) of UP (P<0.001)[14]. However, no significant difference was found in proportion of male and female cases [Figure 1]B. The seropositive cases presented majorly as arthralgia with fever (57.2%), followed by FUO (18.3%), acute encephalitis (17.4%) and the least as fever with rash (7%). The seropositivity was highest in the age group of 45-60 yr (37.7%), followed by >60 yr (30.6%) and 15-45 yr (26.7%) [Table 1].
Table 1: Age-wise distribution of chikungunya cases in Uttar Pradesh tested per year from 2012 to 2017 and resultant seropositivity

Click here to view


A significant difference was observed between 2016 and 2017 in the most common clinical presentation of cases (P<0.001), being arthralgia with fever (68.7%) and FUO (25%) in 2016 and arthralgia with fever (44.3%) and AES (34.3%) in 2017 [Figure 1]C. A significant rise in proportion of encephalitis as a presentation among all seropositive cases was seen from 2016 (3.4%) to 2017 (34.3%) (95% CI=25.6-36.3, P<0.001) [Figure 1]C. A significant difference was observed between age groups in clinical presentation (P<0.001). Most seropositive cases presented with arthralgia and fever in age groups 15-45 yr (64.9%), 45-60 yr (78.0%) and above 60 yr (70.7%). However, they mainly presented as encephalitis in ages 0-5 yr (76.4%) and 5-15 yr (41.8%).

No correlation was found between number of cases or seropositivity and either of average monthly temperature, precipitation or dew point, during 2012-2017. However, peak in cases was observed during August-to-December in 2016 and 2017 [Figure 1]D.

Six hundred and fifty four and 2516 cases were tested additionally for JEV and DENV respectively. Of the 480 cases seropositive for DENV, 148 (31%) were co-positive for CHIKV. Of the 65 seropositive for JEV, 12 (18%) were co-positive for CHIKV, among whom over half were 0-5 yr old. It was found that 65 AES cases were JEV negative and CHIKV positive, whereas seven patients were co-positive for all three arboviruses. This co-positivity may be due to cross-reactivity, pre-existing immunity or co-infection, the latter being pertinent in high viral transmission areas. Furthermore, UP is a hyperendemic region for DENV and JEV[10]. More studies are needed in future to demonstrate these as a true co-infection. Many common aetiologies of AES in India have been reported, other than JEV, including scrub typhus and DENV[15],[16],[17]. Demographic data of all these agents can be combined to better explain the epidemiology of AES.

Our study had several limitations. The exact aetiological agent(s) could not be determined due to logistic challenges to performing either the plaque reduction and neutralization test or demonstrating four-fold rise in antibody titres. Another drawback compromising case numbers was due to the patients not reaching the hospital because of mild manifestations and those expiring prior to hospitalization.

In conclusion, our findings indicate that UP experienced CHIK outbreak in 2016, with the illness having clinically overlapping picture with other arboviral diseases. Therefore, while CHIK as a possibility must not be ignored in classic cases of severe arthralgia with fever, it is important to consider it as a differential in patients presenting with FUO or fever with rash or acute encephalitis.

Financial support & sponsorship: The first author (AO) acknowledges the Indian Council of Medical Research,

New Delhi, for providing Short Term Studentship (ICMR-STS 2018-02187).

Conflicts of Interest: None.

 
   References Top

1.
Thiboutot MM, Kannan S, Kawalekar OU, Shedlock DJ, Khan AS, Sarangan G, et al. Chikungunya: A potentially emerging epidemic? PLoS Negl Trop Dis 2010; 4 : e623.  Back to cited text no. 1
    
2.
Sam IC, Kümmerer BM, Chan YF, Roques P, Drosten C, AbuBakar S. Updates on chikungunya epidemiology, clinical disease, and diagnostics. Vector Borne Zoonotic Dis 2015; 15 : 223-30.  Back to cited text no. 2
    
3.
Burt FJ, Rolph MS, Rulli NE, Mahalingam S, Heise MT. Chikungunya: A re-emerging virus. Lancet 2012; 379 : 662-71.  Back to cited text no. 3
    
4.
Lahariya C, Pradhan SK. Emergence of chikungunya virus in Indian subcontinent after 32 years: A review. J Vector Borne Dis 2006; 43 : 151-60.  Back to cited text no. 4
    
5.
World Health Organization, Regional Office for South-East Asia. Guidelines for prevention and control of chikungunya fever. New Delhi: WHO SEARO; 2009.  Back to cited text no. 5
    
6.
Mavalankar D, Shastri P, Raman P. Chikungunya epidemic in India: A major public-health disaster. Lancet Infect Dis 2007; 7 : 306-7.  Back to cited text no. 6
    
7.
Pulmanausahakul R, Roytrakul S, Auewarakul P, Smith DR. Chikungunya in Southeast Asia: Understanding the emergence and finding solutions. Int J Infect Dis 2011; 15 : e671-6.  Back to cited text no. 7
    
8.
National Vector Borne Disease Control Programme. Chikungunya Situation in India. Ministry of Health & Family Welfare, Government of India; 2019. Available from: http://www.nvbdcp.gov.in, accessed on October 10, 2020.  Back to cited text no. 8
    
9.
Tharmarajah K, Mahalingam S, Zaid A. Chikungunya: Vaccines and therapeutics. F1000Res 2017; 6 : 2114.  Back to cited text no. 9
    
10.
Gupta E, Ballani N. Current perspectives on the spread of dengue in India. Infect Drug Resist 2014; 7 : 337-42.  Back to cited text no. 10
    
11.
Muniaraj M. Fading chikungunya fever from India: Beginning of the end of another episode? Indian J Med Res 2014; 139 : 468-70.  Back to cited text no. 11
    
12.
World Health Organization. WHO informal consultation on fever management in peripheral health care settings: A global review of evidence and practice. Available from: https://apps.who.int/iris/bitstream/handle/10665/95116/9789241506489_eng.pdf;sequence=1, accessed on November 20, 2018.  Back to cited text no. 12
    
13.
Kaur N, Jain J, Kumar A, Narang M, Zakaria MK, Marcello A, et al. Chikungunya outbreak in Delhi, India, 2016: Report on coinfection status and comorbid conditions in patients. New Microbes New Infect 2017; 20 : 39-42.  Back to cited text no. 13
    
14.
Registrar General of India, Census of India: Provisional population totals; 2011. Available from: http://censusindia.gov.in/2011-prov-results/prov_rep_tables.html, accessed on November 20, 2018.  Back to cited text no. 14
    
15.
Ghosh S, Basu A. Acute encephalitis syndrome in India: The changing scenario. Ann Neurosci 2016; 23 : 131-3.  Back to cited text no. 15
    
16.
Jain P, Prakash S, Tripathi PK, Chauhan A, Gupta S, Sharma U, et al. Emergence of orientia tsutsugamushi as an important cause of acute encephalitis syndrome in India. PLoS Negl Trop Dis 2018; 12 : e0006346.  Back to cited text no. 16
    
17.
Jain P, Jain A, Kumar A, Prakash S, Khan DN, Singh KP, et al. Epidemiology and etiology of acute encephalitis syndrome in North India. Jpn J Infect Dis 2014; 67 : 197-203.  Back to cited text no. 17
    


    Figures

  [Figure 1]
 
 
    Tables

  [Table 1]



 

Top
 
 
  Search
 
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

 
  In this article
    Abstract
    Material & M...
    Results & Di...
    References
    Article Figures
    Article Tables

 Article Access Statistics
    Viewed362    
    Printed2    
    Emailed0    
    PDF Downloaded82    
    Comments [Add]    

Recommend this journal