| Literature DB >> 28536430 |
Paul F Horwood1, Veasna Duong1, Denis Laurent2, Channa Mey1, Heng Sothy2, Ky Santy2, Beat Richner2, Seiha Heng3, Sopheak Hem3, Justine Cheval4, Christopher Gorman1, Philippe Dussart1, Menno D de Jong5, Alexandra Kerleguer3, Bertrand Guillard3, Bernadette Murgue6, Marc Lecuit7, Xavier de Lamballerie8, Jeremy J Farrar9, Arnaud Tarantola10, Marc Eloit4,7, Philippe Buchy1,11.
Abstract
Acute meningoencephalitis (AME) is associated with considerable morbidity and mortality in children in developing countries. Clinical specimens were collected from children presenting with AME at two Cambodian paediatric hospitals to determine the major aetiologies associated with AME in the country. Cerebrospinal fluid (CSF) and blood samples were screened by molecular and cell culture methods for a range of pathogens previously associated with AME in the region. CSF and serum (acute and convalescent) were screened for antibodies to arboviruses such as Japanese encephalitis virus (JEV), dengue virus (DENV), and chikungunya virus (CHIKV). From July 2010 through December 2013, 1160 children (one month to 15 years of age) presenting with AME to two major paediatric hospitals were enroled into the study. Pathogens associated with AME were identified using molecular diagnostics, cell culture and serology. According to a diagnostic algorithm, a confirmed or highly probable aetiologic agent was detected in 35.0% (n=406) of AME cases, with a further 9.2% (total: 44.2%, n=513) aetiologies defined as suspected. JEV (24.4%, n=283) was the most commonly identified pathogen followed by Orientia tsutsugamushi (4.7%, n=55), DENV (4.6%, n=53), enteroviruses (3.5%, n=41), CHIKV (2.0%, n=23) and Streptococcus pneumoniae (1.6%, n=19). The majority of aetiologies identified for paediatric AME in Cambodia were vaccine preventable and/or treatable with appropriate antimicrobials.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28536430 PMCID: PMC5520480 DOI: 10.1038/emi.2017.15
Source DB: PubMed Journal: Emerg Microbes Infect ISSN: 2222-1751 Impact factor: 7.163
Figure 1The diagnostic algorithm used for the study.
Figure 2A decision tree used in the study to prioritize the importance of results in determining the final conclusion for aetiology. Ranking of the primacy of results is from left (most reliable) to right (least reliable). aDetection of CMV or EBV in the CSF was categorized as ‘highly probable’ due to the possibility of reactivation of latent virus. bIgM detection was considered positive when the optical density (OD) of the samples was greater than the mean OD of three negative control samples plus 3 standard deviations. cIgM detection in the CSF was only considered positive when the CSF IgM titre was higher than blood IgM titre for the corresponding virus. dAn acute infection was defined as a significant increase in OD measured for IgM by ELISA between admission and discharge sera.
Demographic characteristics of the study participants
| Number of patients | 931 | 229 | 1160 |
| Date range | July 2010–September 2013 | February–December 2013 | July 2010–December 2013 |
| Range | 1 month–15 years | 2 months–15 years | 1 month–15 years |
| Median | 6 years | 5 years | 6 years |
| 1–11 months | 36 (3.9%) | 10 (4.5%) | 46 (4.0%) |
| 1–5 years | 422 (45.3%) | 107 (46.7%) | 529 (45.6%) |
| 6–10 years | 255 (27.4%) | 67 (29.3%) | 322 (27.8%) |
| 11–15 years | 217 (23.3%) | 40 (17.5%) | 257 (22.2%) |
| Unknown | 1 (0.1%) | 5 (2.2%) | 6 (0.5%) |
| Female | 381 (40.9%) | 102 (44.5%) | 483 (41.6%) |
| Male | 550 (59.1%) | 126 (55.0%) | 676 (58.3%) |
| Unknown | 0 | 1 (0.4%) | 1 (0.09%) |
Laboratory results to determine the aetiology of acute meningoencephalitis in Cambodian children
| Japanese encephalitis virus | 3 | 0 | 3 (0.3%) | 233 (20.1%) | 47 (4.1%) | 283 (24.4%) |
| Dengue virus 1 | 10 | 6 | 16 (4.4%) | |||
| Dengue virus 2 | 3 | 2 | 5 (0.4%) | 5 (0.4%) | 25 (2.2%) | 53 (4.6%) |
| Dengue virus 3 | 0 | 1 | 1 (0.09%) | |||
| Dengue virus 4 | 0 | 1 | 1 (0.09%) | |||
| Flavivirus | 0 | 0 | 0 | 8 (0.7%) | 20 (1.7%) | 28 (2.4%) |
| Chikungunya virus | 7 | 4 | 11 (0.9%) | 6 (0.5%) | 6 (0.5%) | 23 (2.0%) |
| Enterovirus | 22 | 0 | 22 (1.9%) | NA | NA | 22 (1.9%) |
| Enterovirus 71 | 9 | 0 | 9 (0.8%) | NA | 10 (0.9%) | 19 (1.6%) |
| Herpes simplex virus | 11 | NA | 11 (0.9%) | NA | NA | 11 (0.9%) |
| Epstein-Barr virus | NA | NA | NA | 10 (0.9%) | NA | 10 (0.9%) |
| Cytomegalovirus | NA | NA | NA | 5 (0.4%) | NA | 5 (0.4%) |
| 19 | 0 | 19 (1.6%) | NA | NA | 19 (1.6%) | |
| 8 | 0 | 8 (0.7%) | NA | NA | 8 (0.7%) | |
| 2 | 0 | 2 (0.2%) | NA | NA | 2 (0.2%) | |
| 4 | 51 | 55 (4.7%) | NA | NA | 55 (4.7%) | |
| Total | NA | NA | 141 (12.2%) | 265 (22.8%) | 107 (9.2%) | 513 (44.2%) |
Abbreviations: cytomegalovirus, CMV; cerebrospinal fluid, CSF; Epstein-Barr virus, EBV; immunoglobulin, IgM; not applicable, NA.
Only pathogens detected in the study are included in the table.
2 cases were positive in both CSF and blood, 8 cases were positive in CSF only, 6 cases were positive in blood only.
1 case was positive in both CSF and blood, 2 cases were positive in CSF only, 2 cases were positive in blood only.
6 cases were positive in both CSF and blood, 1 case was positive in CSF only, 4 cases were positive in blood only.
4 cases were positive in both CSF and blood, 0 cases were positive in CSF only, 51 cases were positive in blood only.
Only the number of patients were included in the total amounts (i.e. a coinfection with two pathogens was not counted twice).
Age and gender characteristics for patients in which the main pathogens were detected
| JEV | 1.6 (144:92) | 5 | 1 (2.2%) | 119 (22.5%) | 85 (26.4%) | 30 (11.7%) |
| DENV1-4 | 1.5 (17:11) | 6 | 2 (4.3%) | 12 (2.3%) | 9 (2.8%) | 5 (1.9%) |
| CHIKV | 16 (16:1) | 7 | 0 | 8 (1.5%) | 4 (1.2%) | 5 (1.9%) |
| Enterovirus | 1.8 (20:11) | 4 | 0 | 19 (3.6%) | 9 (2.8%) | 3 (1.2%) |
| 1.4 (11:8) | 4 | 0 | 12 (2.3%) | 4 (1.2%) | 3 (1.2%) | |
| 1.4 (32:23) | 8 | 1 (2.2%) | 18 (3.4%) | 11 (3.4%) | 25 (9.7%) | |
| Baseline | 1.4 (676:483) | 6 | ||||
Abbreviations: chikungunya virus, CHIKV; dengue virus, DENV; Japanese encephalitis virus, JEV.
Confirmed and highly probable aetiologies.
Including EV-A71.
Figure 3Population-adjusted attack rates (cases per 100 000 pop, using 2012 population) of Japanese encephalitis virus for the 2010–2012 study period (A) and 2013 study period (B) mapped using ArcGIS 10 (Esri, Redlands, CA, USA), by year and patient’s province of residence, to assess the time and geographical distribution of ‘confirmed’ and ‘highly probable’ cases. Population density across Cambodia was also mapped, using villages as a proxy for population (each village being represented as one dot). Note: The number of hospitals participating in the surveillance system differed between the two periods. The maps therefore use different scales to illustrate the relative incidence and burden of JEV by province during those periods rather than absolute incidence values.
Figure 4Representation of Japanese encephalitis virus cases by month with mean rainfall data estimated by satellite teledetection (Tropical Rainfall Measuring Mission, NASA, USA, http://trmm.gsfc.nasa.gov/) and adjusted for surface of province of residence.