5 Feb 2016: Carter MJ, Emary KR, Moore CE, Parry CM, Sona S, et al. (2016) Correction: Rapid Diagnostic Tests for Dengue Virus Infection in Febrile Cambodian Children: Diagnostic Accuracy and Incorporation into Diagnostic Algorithms. PLOS Neglected Tropical Diseases 10(2): e0004453. https://doi.org/10.1371/journal.pntd.0004453 View correction
19 Mar 2015: The PLOS Neglected Tropical Diseases Staff (2015) Correction: Rapid Diagnostic Tests for Dengue Virus Infection in Febrile Cambodian Children: Diagnostic Accuracy and Incorporation into Diagnostic Algorithms. PLOS Neglected Tropical Diseases 9(3): e0003654. https://doi.org/10.1371/journal.pntd.0003654 View correction
Dengue virus (DENV) infection is prevalent across tropical regions and may cause severe disease. Early diagnosis may improve supportive care. We prospectively assessed the Standard Diagnostics (Korea) BIOLINE Dengue Duo DENV rapid diagnostic test (RDT) to NS1 antigen and anti-DENV IgM (NS1 and IgM) in children in Cambodia, with the aim of improving the diagnosis of DENV infection.
Methodology and principal findings
We enrolled children admitted to hospital with non-localised febrile illnesses during the 5-month DENV transmission season. Clinical and laboratory variables, and DENV RDT results were recorded at admission. Children had blood culture and serological and molecular tests for common local pathogens, including reference laboratory DENV NS1 antigen and IgM assays. 337 children were admitted with non-localised febrile illness over 5 months. 71 (21%) had DENV infection (reference assay positive). Sensitivity was 58%, and specificity 85% for RDT NS1 and IgM combined. Conditional inference framework analysis showed the additional value of platelet and white cell counts for diagnosis of DENV infection. Variables associated with diagnosis of DENV infection were not associated with critical care admission (70 children, 21%) or mortality (19 children, 6%). Known causes of mortality were melioidosis (4), other sepsis (5), and malignancy (1). 22 (27%) children with a positive DENV RDT had a treatable other infection.
DENV infection first manifests as an undifferentiated fever before either settling without complications, or progressing to severe disease requiring inpatient admission and careful supportive intravenous fluid management. The ability to differentiate DENV infection from other febrile illnesses, and to predict those at risk of severe disease is likely to be important. We assessed the diagnostic accuracy of a commercially available DENV rapid diagnostic test (RDT) for children admitted with febrile illness to a hospital in Cambodia during the DENV transmission season. We found sensitivity of the DENV RDT to be 58% and specificity to be 85% versus reference assay DENV serology. We then modelled the ability of clinical features, basic laboratory parameters, and DENV RDT result at presentation of the child to distinguish DENV infection from other febrile illness, and determine the need for critical care admission. We found that the DENV RDT did not increase the accuracy with which we diagnosed DENV infection, and was not helpful in deciding which children required critical care admission. Indeed, the relatively high prevalence of serious bacterial disease in the cohort of children indicated a broad microbiological differential diagnosis in all febrile children, regardless of their DENV infection status.
Citation: Carter MJ, Emary KR, Moore CE, Parry CM, Sona S, Putchhat H, et al. (2015) Rapid Diagnostic Tests for Dengue Virus Infection in Febrile Cambodian Children: Diagnostic Accuracy and Incorporation into Diagnostic Algorithms. PLoS Negl Trop Dis 9(2): e0003424. https://doi.org/10.1371/journal.pntd.0003424
Editor: Ernesto T. A. Marques, University of Pittsburgh, UNITED STATES
Received: May 13, 2014; Accepted: November 17, 2014; Published: February 24, 2015
Copyright: © 2015 Carter et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: Anonymised data used for the calculation of diagnostic accuracy and classification and regression tree analysis are within the paper, and supporting information files. Other data from the parent fever study and dengue study are available from the Angkor Hospital for Children Institutional Review Board (IRB) for researchers who meet the criteria for access to confidential data (email: email@example.com).
Funding: This study was supported by the Wellcome Trust of Great Britain, the Li Ka Shing-University of Oxford Global Health Programme, and Angkor Hospital for Children. The UK National Institute of Health Research provided grants for academic clinical fellowships to MJC and KRE through University College London, and the University of Oxford respectively. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The number of people at risk of infection with one or more of the four dengue viruses (DENV) has increased exponentially over the past half-century, with the immuno-pathological complexity of DENV hampering vaccine design [1–4]. DENV infection first manifests as a non-specific febrile illness before either resolving, or progressing to severe disease characterized by endothelial activation, increased vascular permeability and impaired haemostasis [2,5]. Early diagnosis and identification of those at risk of severe disease is therefore important, leading to the development of rapid diagnostic tests (RDTs) to DENV antigens and anti-DENV antibodies [6–12], and previous work incorporating clinical and laboratory features of the disease (but not RDTs) into decision algorithms [13–18].
DENV infection is highly incident in Cambodia [19,20]. We examined our diagnostic strategy for DENV infection at Angkor Hospital for Children in Siem Reap, north-west Cambodia during the DENV transmission season of 2010. We used a DENV rapid diagnostic test (RDT) for detection of the DENV non-specific 1 (NS1) antigen, anti-DENV IgM, and anti-DENV IgG, [6–12,21] in addition to established clinical diagnostic criteria  and basic laboratory markers in children requiring hospitalization for a febrile illness with no clear source at admission. This study was nested within a prospective study of all causes of fever in hospitalized children , enabling us assess the DENV RDT in a well-characterised sample of children. In addition, we formalized our diagnostic algorithms with the use of conditional inference trees [13–18], and examined the usefulness of a DENV RDT for determination of risk of critical care admission in the context of highly prevalent co-infections.
The parents of all children recruited to the study gave witnessed, written, informed consent before study enrolment. The Oxford Tropical Research Ethics Committee and Angkor Hospital for Children Institutional Review Board approved the study protocol on 24th September 2009 and 2nd October 2009 respectively.
Clinical methods and enrollment
Criteria for enrollment in the parent study  were: age <16 years; fever ≥38°C within 48 hours of presentation to hospital; clinically requiring admission (using Integrated Management of Childhood Illness [IMCI] guidelines ); and written informed consent from the caretaker. Children <60 days of age were excluded (for reasons of blood volume). In addition, for this nested study, we prospectively excluded children with clear sources of fever on initial assessment: e.g. with clear lower respiratory tract infection, or gastroenteritis, or cellulitis (Fig. 1).
Children for this study were enrolled from 1st June 2010 to 1st October 2010. At enrollment, resident paediatricians examined all children. If a cause of fever was not clear, children were re-assessed by a senior paediatrician. Urinalysis was performed on all children. Admission findings were recorded on a study-specific clinical record form, which detailed clinical features associated with the diagnosis of dengue .
All children in this study had blood taken at enrollment for a DENV RDT, aerobic bacterial and Leptospira spp. culture, complete blood count, including malaria blood smear, nucleic amplification tests (NAATs) for rickettsial pathogens and Leptospira spp., and serum for biochemistry and DENV and Japanese encephalitis virus (JEV) serology. Where possible enrolled children also had a convalescent serum sample taken at 7 days or on hospital discharge for serology. Whole blood for NAATs and sera for serology were stored at -80°C and were analysed retrospectively on conclusion of the study. Children with a recent history of cough or sore throat and increased respiratory effort had nasal and throat swab samples analysed for respiratory virus detection. Samples of pus, cerebrospinal fluid (CSF), and other clinical tests were done as clinically indicated. Full methods are detailed in reference .
We used the Standard Diagnostics (Korea) BIOLINE Dengue Duo  kit as the RDT in the study. This is an in vitro immunochromatographic, one-step assay for the detection of NS1 antigen and anti-DENV IgM and IgG from whole blood or serum, with manufacturer published sensitivity of 92.8% and specificity of 98.4% for NS1, and sensitivity of 99.4% and specificity of 93.0% for anti-DENV IgG and anti-DENV IgM . NS1 antigenaemia is known to occur before IgM and/or IgG rise, thus assay of NS1 increases the sensitivity of DENV RDTs in early infection [6–12]. All testing was performed according to the manufacturer's instructions. In brief, 100μL of whole blood or serum sample was transferred by pipette into the sample well of the freshly unpackaged test device, and left for 20 minutes. A laboratory technician (one of five with experience in this RDT method), blinded to the clinical features of the child, interpreted the colour lines on the immunochromatographic strip. Indeterminate assay, or failed control, results were repeated once and counted as negative if the result was still indeterminate. Whole blood and serum intended for use with the DENV RDT was either used immediately following sampling, or refrigerated for a maximum of 48 hours at 5°C before being equilibrated to room temperature (approximately 25°C) prior to testing.
Reference laboratory methods
The Panbio Japanese Encephalitis Dengue IgM Combo ELISA was retrospectively used for reference serology (Panbio, Australia; Cat. # E-JED01C; Lot # 110061) . Panbio Units were calculated by multiplying the index value (calculated by dividing the sample absorbance by the cut-off value) by 10. The results were classed as negative for DENV and JEV if PanBio units were <9, indeterminate if 9–11 and positive if >11. If both anti-DENV and anti-JEV IgM results were positive, the anti-JEV result was divided by the anti-DENV result to give a ratio, with >1 indicating JEV infection and <1 indicating DENV infection (S1 Table). All ELISAs were repeated once if the positive, negative or calibrator samples were out of range, or the results indeterminate (repeated indeterminate results counted as negative). NS1 antigen ELISA (Standard Diagnostics, Korea; Lot # 224007) was used to detect DENV NS1 antigen .
To maximise specificity for the reference DENV assay we considered only children with a ≥4-fold rise in anti-DENV IgM titres or NS1 antigen positivity to be reference assay positive for acute DENV infection. We therefore excluded children who had a single high anti-DENV IgM titre (and no convalescent serum sample) (S2 Table).
All data was recorded onto a study-specific, password-encrypted database. Descriptive statistical analyses, summary statistics for the DENV RDT, and logistic regression analyses of clinical and laboratory data were undertaken on Stata v.12.1 (Stata Corp, TX, USA).
To capture the sequential availability of clinical/laboratory data available to an admitting paediatrician, we created three multivariate logistic regressions with reference assay positive DENV infection as the outcome variable. The first logistic regression included WHO clinical diagnostic criteria : nausea and vomiting, rash, abdominal pain, mucosal bleeding (including rectal), reduced consciousness or confusion (infant/child Glasgow Coma Score ≤13 or disoriented in time or space), or palpable hepatomegaly, as independent binary variables. A second logistic regression included basic laboratory parameters (white cell count, platelet count, haematocrit, alanine transferase (ALT) level, C-reactive protein (CRP) level, malaria blood films), in addition to clinical features (above). The third logistic regression included clinical, laboratory, and DENV RDT variables (NS1 assay and IgM assay) to represent the addition of the DENV RDT to results to the decisive capabilities of the admitting paediatrician.
Three identical multivariate logistic regressions were undertaken (clinical data only; clinical data and basic laboratory parameters; and clinical data, basic laboratory parameters and DENV RDT results) but with critical care admission as the outcome variable.
Clinical, laboratory, and DENV RDT variables significantly associated (p<0.05) with either reference diagnosis of DENV infection or with admission to the critical care unit were entered into decision algorithms. We used recursive partitioning within a conditional inference framework, with statistical significance (permutation) testing for the generation of splits amongst independent variables (eliminating the need for a cross-validation step) using the R package party [26–28]. Similar analyses have been used previously [13–18] to develop diagnostic algorithms, although with variation in the statistical methods used.
We report the results using the Standards for the Report of Diagnostic accuracy studies (STARD).
Description of the cohort
399 febrile episodes in children ≥60 days of age were assessed between 1st June 2010 and 1st October 2010. Of these, 337 (84.5%) were tested with a DENV RDT. 62 (15.5%) children had clearly localised infections, were not tested with a DENV RDT, and are excluded from later analyses (Fig. 1, Table 1).
Of children tested with a DENV RDT, 71/337 (21.1%) were reference assay positive for DENV infection (Table 1), 70 (20.8%) children were admitted to the critical care unit, and 19 (5.6%) children died. Comorbidities were prevalent: mean weight-for-age z-score was -2.2 (i.e. underweight, 95% confidence intervals [95% CI] –2.5, –2.0), known HIV infection was present in 17 (5.0%) children, and comorbid congenital or rheumatic heart disease in 17 children. The median number of days between acute and convalescent sera was 4 days (Interquartile Range [IQR] 3, 7).
DENV RDT diagnostic accuracy evaluation
DENV RDT NS1 antigen alone had a sensitivity of 60.8% in comparison to reference NS1 assay, and RDT anti-DENV IgM had a sensitivity of 32.7% in comparison to reference anti-DENV IgM assay (Table 2). DENV RDT NS1 antigen was highly specific when compared to reference assay NS1 antigen (specificity 97.5%), but RDT anti-DENV IgM was less specific for reference assay anti-DENV IgM (specificity 86.2%). When combined, DENV RDT NS1 antigen and/or RDT anti-DENV IgM positivity had a sensitivity of 57.8%, specificity of 85.3%, positive predictive value of 52.6% and negative predictive value of 87.8% for reference assay positive DENV infection (Table 2).
Covariates associated with DENV infection by reference assay or critical care admission
At presentation, nausea and vomiting were associated with reference assay positive DENV infection (aOR 2.72, 95% CI 1.42, 5.20), as was abdominal pain (aOR 2.63, 95% CI 1.37, 5.06), whilst mucosal bleeding (including rectal) was negatively associated with reference assay positive DENV infection (aOR 0.23, 95% CI 0.06, 0.80). Children with mucosal bleeding were more likely to be diagnosed with gastroenteritis/dysentery as the cause of their febrile illness than those without mucosal bleeding: 21/59 (35.6%) versus 21/274 (7.6%) (χ2, p <0.001). Of laboratory parameters, platelet levels and CRP were negatively associated with reference assay positivity (aOR 0.97 per 10 x109/mm3 increase, 95% CI 0.95, 0.99; and aOR 0.81 per 1 mg/dL increase, 95% CI 0.67, 0.99, respectively).
DENV RDT NS1 antigen positivity was strongly associated with reference assay positive DENV infection (aOR 31.75, 95% CI 6.79, 148.5), as was DENV RDT NS1 antigen and/or IgM (aOR 4.19, 95% CI 1.74, 10.11). Addition of DENV RDT IgG with NS1 antigen and/or IgM increased odds of reference diagnosis (aOR 25.00, 95% CI 6.15, 101.5).
70 (20.8%) children required admission to the critical care unit, 7 of whom were reference assay positive for DENV infection (no sub-analysis of these 7 children was possible). Amongst all causes, reduced consciousness and hepatomegaly were positively associated with admission to the critical care unit (aOR 7.04, 95% CI 2.82, 17.57; and aOR 2.98 95% CI 1.42, 6.26, respectively). Increased leukocyte level (aOR 1.12, 95% CI 1.04, 1.20 per 10 x109/mm3 increase) and increased CRP level (aOR 1.28, 95% CI 1.05, 1.55 per 1 mg/dL increase) were also associated with critical care unit admission. Nausea and vomiting were negatively associated with admission to the critical care unit (aOR 0.37, 95% CI 0.18, 0.77). No other covariates, including the results of the DENV RDT, were associated with critical care unit admission. Children with missing observations within the variables regressed were excluded (Table 3).
Decision algorithms with conditional inference trees
From clinical covariates, nausea and vomiting and abdominal pain were selected as independent predictors of reference assay positive DENV infection (Fig. 2). When clinical and laboratory covariates were analysed together, children with a platelet level ≤154 x109/mm3 were most likely to have reference assay positive DENV infection (although with an error rate of 50.0%) (Fig. 3). Children with a platelet level >154 x109/mm3 and a leukocyte level >7.4 x109/mm3 had a low likelihood of being reference assay positive for DENV infection (error rate 5.5%).
Combining clinical, laboratory and DENV RDT covariates created five classifications (four, if node 6 [hepatomegaly] is combined) for likelihood of reference assay positive DENV infection (Fig. 4). Children with a positive DENV RDT result and platelet count ≤313 x109/mm3 had the highest probability (error rate of 37.1%), particularly if they showed hepatomegaly (error rate 31.9%). Alternatively children with a negative DENV RDT, and white cell count >7.4 x109/mm3 had a low likelihood (error rate 4.8%). Other classifications showed intermediate likelihood.
Decreased consciousness was the most important classifier for all cause critical care admission (error rate 46.3%), whilst children with a white cell count ≤15.1 x109/mm3 and CRP level <7 mg/dL were least likely to require critical care admission (error rate 8.3%) (Fig. 5).
The problem of multiple diagnoses
Both DENV RDT positive and negative groups were infected with a range of other pathogens (Table 4). 22/82 (26.8%) children in whom a DENV RDT was positive had evidence of treatable infections: from serology, Orientia tsutsugamushi (eight children), Rickettsia typhi (five children); from direct stains, Mycobacterium tuberculosis (two children), Plasmodium falciparum (one child); from blood culture, Burkholderia pseudomallei, Klebsiella pneumoniae, Salmonella enterica serovar Typhi (all one child each); and from NAATs, Leptospira spp. (two children) and herpes simplex virus (one child, from CSF).
During a single wet season in Cambodia a DENV RDT had a positive predictive value of 53% and negative predictive value of 88% for reference assay positive DENV infection in febrile children admitted to hospital. The high negative predictive value indicates that a negative DENV RDT may practicably "rule-out" DENV infection in this cohort (but not "rule-out" other co-infections).
As with other studies of diagnostic accuracy [6–18], this study is reliant on a gold standard test for its accuracy. The DENV RDT sensitivity of 58% was lower than similar studies [6–12], where sensitivity has ranged from 88% to 95% for identical or similar NS1/IgM combined proprietary DENV RDTs. Our study showed a lower incidence of reference assay positive DENV infection in comparison to these studies (possibly due to our deliberately broad inclusion criteria to encapsulate the breadth of DENV infection in infants and children , and high incidence of other infections), which may account for the apparent lower sensitivity. Alternative explanations for low sensitivity include differential sensitivity of the DENV RDT to circulating anti-DENV antibodies to different DENVs (DENVs 1–3 circulate in Cambodia ), or due to differing incidence of primary and secondary infections from other studies (both not assessed in this study). The exclusion of 14 children with only single acute serum samples (and NS1 antigen negative) did not adversely affect test sensitivity.
We found no evidence for a lower early IgM response in children in the cohort with younger age, or malnutrition, and no evidence that the variable length of time between acute and convalescent samples (and from onset of fever to presentation) reduce the sensitivity of the DENV RDT by producing false negatives by reference assay. Further studies would benefit from increased sample size, and sampling of convalescent sera after a fixed interval from the acute sample (although this may not be always feasible).
Incorporation of the DENV RDT result into conditional inference trees, with the use of platelet count (of ≤313 x109/mm3), classified a high likelihood group (Fig. 4, nodes 7 and 8, error rate 37%) and a large low likelihood group (node 4, error rate 5%), with approximately a quarter of the cohort classified into one of two intermediate groups (nodes 3 and 9). However, a conditional inference tree generated by the same methods using platelet count (of ≤154 x109/mm3) and leukocyte count (of ≤7.4 x109/mm3) generated a more simple decision algorithm, with a high likelihood group (Fig. 3, node 2, error rate 50%), large low likelihood group (node 5, error rate 6%), and 15% in an intermediate group (node 4). Additionally, a positive DENV RDT result was not predictive of disease severity as judged by admission to the critical care unit; rather, critical care unit admission was predicted by reduced consciousness and increased leukocyte levels, and CRP ≥ 7 mg/dL (Fig. 5).
In brief, in this setting, the benefit of adding the DENV RDT to the diagnostic decision algorithm is therefore questionable, given presumed cost constraints. A complete blood count (with leukocyte and platelet levels), and CRP level were helpful for clinical decision-making regarding both diagnosis and disease severity, and should be undertaken on all children.
Was a positive DENV RDT indicative of the final diagnosis? No. Unlike many studies of DENV RDTs [6–12] and decision algorithms [13–18], our cohort of children had been thoroughly investigated in a study designed specifically to describe the microbiological causes of their febrile illness . In this cohort nearly half of children with a positive DENV RDT result had a co-infection, over a quarter with a bacterial co-infection (Table 4).
The results of this study appear to contradict previous data on the utility of DENV RDTs. Retrospective analysis of the sensitivity and specificity of the RDT in known cases and controls, with a high "incidence" and clear-cut cases, would increase estimates of the diagnostic accuracy of the RDT [7–9]. Prospective studies, with higher DENV infection incidence (thus higher pre-test probability), have not integrated clinical and laboratory parameters into decision algorithms, increasing the apparent utility of DENV RDTs [6,11]. Amongst the elaboration of decision algorithms for DENV infection diagnosis, none have yet assessed the role of DENV RDTs [13–18].
Our emphasis on assessing DENV RDTs alongside other information attempts a realistic description of clinical decision-making. In future, improved DENV RDTs used in combination with RDTs to other important and locally prevalent pathogens may be helpful. In the meantime, good clinical observation, basic laboratory testing (including complete blood count, platelet levels and CRP), well-conceived "sepsis bundles" including antibiotic guidelines and resuscitation protocols, and sentinel microbiology facilities must continue [30,31].
S1 Table. Classification of the Panbio Japanese Encephalitis Dengue IgM Combo and DENV NS1 antigen ELISA used for DENV reference assay: "Positive", "Negative" or "Missing" within the boxed region describes the final interpretation of the DENV reference assay (i.e. accounting both serology and NS1 antigen assay).
Rise in titres is defined as ≥2 Panbio units between acute and discharge samples.
S2 Table. Sensitivity and specificity testing for a) RDT anti-DENV IgM and b) DENV RDT NS1 and/or RDT anti-DENV IgM versus reference assay positive DENV infection (specified as reference NS1 antigen assay positive, or either ≥4-fold rise between acute and convalescent sera or, exceptionally in this Supplementary Material table, a single high titre of anti-DENV IgM on acute serology).
Missing data was excluded from the sensitivity and specificity analysis.
S3 Table. Unadjusted odds ratios (OR) for clinical features, malaria testing dengue RDT results and laboratory parameters, against DENV RDT NS1 antigen or RDT anti-DENV IgM positivity, or against reference assay positive DENV infection, or against critical care admission.
OR in bold indicates p<0.05 for an association between covariate and outcome variable.
S4 Table. a) Sensitivity and specificity of DENV RDT NS1, RDT anti-DENV IgM and RDT NS1 and/or anti-DENV IgM for confirmed reference diagnosis of DENV infection, by age of child.
b) Sensitivity and specificity of DENV RDT NS1, RDT anti-DENV IgM and RDT NS1 and/or anti-DENV IgM for confirmed reference diagnosis of DENV infection, by the carer reported number of days of fever before presentation.
The authors thank the children, and their parents, who enrolled in this study; the paediatric nurses, auxiliaries, residents and chiefs who supported the work; and the management of Angkor Hospital for Children (AHC), in particular Dr. Bill Housworth. MJC particularly thanks Dr. Shunmay Yeung for her support. The authors also greatly thank anonymous reviewers for their helpful comments and discussion of the draft manuscript.
Conceived and designed the experiments: MJC KRE CMP NPJD VK SDB. Performed the experiments: MJC KRE CEM CMP SS HP SR. Analyzed the data: MJC KRWE CEP NS ADMD SDB. Contributed reagents/materials/analysis tools: CEM SS HP SR NC ADMD NPJD SDB. Wrote the paper: MJC KRE CEM CMP NS ADMD NPJD VK SDB.
- 1. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW et al. (2013) The global distribution and burden of dengue. Nature 496: 504–507. pmid:23563266
- 2. Simmons CP, Farrar JJ, Vinh Chau NV, Wills B (2012) Dengue. N Eng J Med 366: 1423–32. pmid:22494122
- 3. Halstead SB, O'Rourke EJ (1977) Antibody-enhanced dengue virus infection in primate leukocytes. Nature 265: 739–741. pmid:404559
- 4. Wan SW, Lin CF, Wang S, Chen YH, Yeh TM (2013) Current progress in dengue vaccines. J Biomed Sci 20: 37. pmid:23758699
- 5. Chau TN, Anders KL, Lien LB, Hung NT, Hieu LTM, et al. Clinical and virological features of Dengue in Vietnamese infants (2010). PLoS Negl Trop Dis 4(4): e657. pmid:20405057
- 6. Blacksell SD, Mammen MP, Thongpaseuth S, Gibbons RV, Jarman RG, et al. (2008) Evaluation of the Panbio dengue virus nonstructural 1 antigen detection and immunoglobulin M antibody enzyme-linked immunosorbent assays for the diagnosis of acute dengue infections in Laos. Diagn Microbiol Infect Dis 60(1): 43–9. pmid:17889487
- 7. Wang SM and Sekaran SD (2010). Early diagnosis of dengue infection using a commercial dengue duo rapid test kit for the detection of NS1, IgM and IgG. Am J Trop Med Hyg 83(3): 690–695. pmid:20810840
- 8. Blacksell SD, Jarman RG, Bailey MS, Tanganuchitcharnchai A, Jenjaroen K, et al. (2011) Evaluation of six commercial point-of-care tests for diagnosis of acute dengue infections: the need for combining NS1 antigen and IgM/IgG antibody detection to achieve acceptable levels of accuracy. Clin Vaccine Immunol 18: 2095–2101. pmid:22012979
- 9. Blacksell SD, Jarman RG, Gibbons RV, Tanganuchitcharnchai A, Mammen MP, et al. (2012) Comparison of seven commercial antigen and antibody enzyme-linked immunosorbent assays for detection of acute dengue infection. Clin Vaccine Immunol 19(5): 804–810. pmid:22441389
- 10. Blacksell SD (2012) Commercial dengue rapid diagnostic tests for point-of-care application: recent evaluations and future needs. J Biomed Biotechnol 151967. pmid:22654479
- 11. Gan VC, Tan LK, Lye DC, Pok KY, Mok SQ, et al. (2014) Diagnosing dengue at the point-of-care: utility of a rapid combined diagnostic kit in Singapore. PLoS One 9(3): e90037. pmid:24646519
- 12. da Costa VG, Marques-Silva AC, Moreli ML (2014) A meta-analysis of the diagnostic accuracy of two commercial NS1 antigen ELISA tests for early dengue. PLoS One 9(4): e94655. pmid:24728377
- 13. Tanner L, Schreiber M, Low JGH, Ong A, Tolfvenstam T, et al. (2008). Decision tree algorithms predict the diagnosis and outcome of dengue fever in the early phase of illness. PLoS Negl Trop Dis 2(3): e196. pmid:18335069
- 14. Lee VJ, Lye DC, Sun Y, Leo YS (2009) Decision tree algorithm in deciding hospitalization for adult patients with dengue haemorrhagic fever in Singapore. Trop Med Int Health 14(9): 1154–9. pmid:19624479
- 15. Potts JA, Gibbons RV, Rothman AL, Srikiatkhachorn A, Thomas SJ, et al. (2010) Prediction of dengue disease severity among pediatric Thai patients using early clinical laboratory indicators. PLoS Negl Trop Dis 4(8): e769. pmid:20689812
- 16. Gregory CJ, Lorenzi OD, Colón L, Sepúlveda Garcia A, Santiago LM, et al. (2011) Utility of the tourniquet test and the white blood cell count to differentiate dengue among acute febrile illnesses in the emergency room. PLoS Negl Trop Dis 5(12): e1400. pmid:22163057
- 17. Vega Riverón B, Sánchez Valdés CL, Cortiñas Abrahantes CJ, Castro Peraza O, González Rubio CD, et al. (2012) Classification of dengue haemorrhagic fever using decision trees in the early phase of the disease. Rev Cubana Med Trop 64(1): 35–42. pmid:23444624
- 18. Lee VJ, Chow A, Zheng X, Carrasco LR, Cook AR, et al. (2012) Simple clinical and laboratory predictors of chikungunya versus dengue infections in adults. PLoS Negl Trop Dis 6(9): e1786. pmid:23029573
- 19. Vong S, Kieu V, Glass O, Ly S, Duong V, et al. (2010) Dengue incidence in urban and rural Cambodia: results from population-based active fever surveillance, 2006–2008. PLoS Negl Trop Dis 4(11): e903 pmid:21152061
- 20. Chheng K, Carter MJ, Emary K, Chanpheaktra N, Moore CE, et al. (2013) A prospective study of the causes of febrile illness requiring hospitalization in children in Cambodia. PLoS One 8(4): e60634. pmid:23593267
- 21. SD BIOLINE Dengue Duo NS1 Ag + Ab Combo.http://www.alere.com/ww/en/product-details/sd-bioline-dengue-duo-ns1-ag—-ab-combo.html (Accessed 6th April 2014).
- 22. World Health Organization (2009) Dengue: Guidelines for Diagnosis, Treatment, Prevention and Control. Geneva, Switzerland: World Health Organization. pmid:25506961
- 23. World Health Organization (2005) Handbook: Integrated Management of Childhood Illness. Geneva, Switzerland: World Health Organization pmid:25561093
- 24. Panbio Japanese encephalitis-Dengue IgM Combo.http://www.alere.com/ww/en/product-details/panbio-japanese-encephalitis-dengue-igm-combo.html. (Accessed 6th April 2014.)
- 25. SD Dengue NS1 Ag ELISA. http://www.standardia.com/en/home/product/ELISA/Dengue_NS1_Ag_ELISA.html. (Accessed 2nd September 2014.)
- 26. The R Foundation for Statistical Computing. R version 2.15.1 (2012–06–22). http://www.R-project.org/. (Accessed 22nd June 2012.)
- 27. Hothorn T, Hornik K, Zeilas A (2006) Unbiased recursive partitioning: a conditional inference framework. J Computational Graphical Statistics 15(3): 651–674.
- 28. Hothorn T, Hornik K, Zeilas A (2006). party: a laboratory for recursive partytioning. http://cran.r-project.org/web/packages/party/vignettes/party.pdf. (Accessed 5th August 2013.)
- 29. Anon. (2008) STARD Statement: Standards for the Reporting of Diagnostic accuracy studies. http://www.stard-statement.org. (Accessed 1st October 2014.)
- 30. Peacock SJ, Newton PN (2008) Public health impact of establishing the cause of bacterial infections in rural Asia. Trans R Soc Trop Med Hyg 102(1): 5–6. pmid:17619030
- 31. Becker JU, Theodosis C, Jacob ST, Wira CR, Groce NE (2009) Surviving sepsis in low-income and middle-income countries: new directions for care and research. Lancet Infect Dis 9: 577–82. pmid:19695494