- Open Access
Clinical and laboratory predictive markers for acute dengue infection
© Ho et al.; licensee BioMed Central Ltd. 2013
- Received: 17 June 2013
- Accepted: 8 October 2013
- Published: 20 October 2013
Early diagnosis of dengue virus infection during the febrile stage is essential for adjusting appropriate management. This study is to identify the predictive markers of clinical and laboratory findings in the acute stage of dengue infection during a major outbreak of dengue virus type 1 that occurred in southern Taiwan during 2007. A retrospective, hospital-based study was conducted at a university hospital in southern Taiwan from January to December, 2007. Patient who was reported for clinically suspected dengue infection was enrolled. Laboratory-positive dengue cases are confirmed by enzyme-linked immunosorbent assay of specific dengue IgM, fourfold increase of dengue-specific IgG titers in convalescent serum, or by reverse transcription-polymerase chain reaction (RT-PCR) of dengue virus.
The suspected dengue cases consist of 100 children (≤ 18 years) and 481 adults. Among the 581 patients, 67 (67%) children and 309 (64.2%) adults were laboratory-confirmed. Patients who had laboratory indeterminate were excluded. Most cases were uncomplicated and 3.8% of children and 2.9% of adults developed dengue hemorrhagic fever or dengue shock syndrome (DHF/DSS). The overall mortality rate in those with DHF/DSS was 7.1%, and the average duration of hospitalization was 20 days. The most common symptoms/signs at admission were myalgia (46.8%), petechiae (36.9%) and nausea/vomiting (33.5%). The most notable laboratory findings included leukopenia (2966 ± 1896/cmm), thrombocytopenia (102 ± 45 × 103/cmm), prolonged activated partial thromboplastin time (aPTT) (45 ± 10 s), and elevated serum levels of aminotransferase (AST, 166 ± 208 U/L; ALT, 82 ± 103 U/L) and low C - reactive protein (CRP) (6 ± 11 mg/L). Based on the clinical features for predicting laboratory-confirmed dengue infection, the sensitivities of typical rash, myalgia, and positive tourniquet test are 59.2%, 46.8%, and 34.2%, while the specificities for above features are 75.4%, 53.5% and 100%, respectively. The positive predictive value (PPV) for combination of leukopenia, thrombocytopenia (< 150 × 103/cmm), elevated aminotransferase (AST/ALT > 1.5) and low CRP (< 20 mg/L) is 89.5%, while the negative predictive value is 37.4%. Furthermore, the PPV of the combination was increased to 93.1% by adding prolonged aPTT (>38 secs).
Leukopenia, thrombocytopenia, elevated aminotransferases, low CRP and prolonged aPTT, were useful predictive markers for early diagnosis of dengue infection during a large outbreak in southern Taiwan.
- Early diagnosis
- Predictive markers
Dengue disease is an acute infectious disease caused by four serotypes of dengue virus, and is the most prevalent mosquito-borne viral disease in humans, occurring in tropical and subtropical countries of the world where over 2.5 billion people are at risk of infection. The World Health Organization has estimated 50 million cases of dengue fever and several hundred thousand cases of dengue hemorrhagic fever occur each year, depending on the epidemic activity. Some 1.8 billion of the population at risk for dengue worldwide live in member states of the WHO South-East Asia Region and Western Pacific Region, which bear nearly 75% of the current global disease burden due to dengue.
Dengue has a wide spectrum of clinical presentations, often with unpredictable clinical evolution and outcome. While most patients recover following a self-limiting non-severe clinical course, a small proportion progress to severe disease, mostly characterized by plasma leakage with or without hemorrhage. Early recognition of dengue is challenging because the initial symptoms are often non-specific, viremia may be below detectable levels and serological tests confirm dengue late in the course of illness. Prompt diagnosis during the febrile stage is essential for adjusting appropriate management.
In endemic areas such as Southeast Asia or Latin America, dengue hemorrhagic fever is the leading cause of hospitalization and death among children with secondary infection. In different areas with a recent introduction of the virus or with no endemicity, the age distribution of dengue hemorrhagic fever cases is different with an increasing number of adults with DHF. In 1987, a major dengue outbreak occurred in southern Taiwan. Several major dengue endemics with various clinical characteristics and serotypes were observed in Taiwan during the past two decades[8, 9].
Dengue is a category 2 notified infectious disease in Taiwan; the physicians are obliged to report the suspected dengue cases to the local health department within 24 hours of clinical diagnosis. Contacts of confirmed cases are also obliged to test their blood for dengue virus infection. Reliably identifying dengue patients early in their clinical course could help direct patient management and reduce the transmission of dengue virus in a community. Timely identification of dengue infection would enable healthcare providers potentially to prevent additional cases among close contacts by urging patients with a positive dengue screening test to use personal protection measures against mosquito bites. However, there are no accepted clinical guidelines for the recognition of early-stage dengue infection. There is also no consensus as to whether clinical features can be used to distinguish dengue infection from other febrile illness[10–14].
This study is aimed to identify the predictive markers of clinical and laboratory findings in the early stage of dengue infection during the outbreak in Southern Taiwan in 2007.
A retrospective, hospital-based study was conducted at National Cheng Kung University Hospital from Jan. to Dec., 2007. Patient who was reported for clinically suspected dengue infection was enrolled. Laboratory-positive dengue cases are confirmed by enzyme-linked immunosorbent assay of specific dengue IgM, fourfold increase of dengue-specific IgG titers in convalescent serum, or by reverse transcription-polymerase chain reaction (RT-PCR) of dengue virus. Pediatric patients are defined as patients who younger than 18 years.
Sample collection and dengue diagnosis
The collection of serum samples and laboratory diagnosis are performed for public health surveillance purposes and enforced by the Communicable Disease Prevention Act. A modified E/M-specific captured IgM and IgG ELISA was performed to measure the dengue virus (DENV) and Japanese encephalitis virus (JEV)-specific IgM and IgG antibodies as previously described[16–18]. The assay was performed by (1) measurement of DENV- and JEV-specific IgM and IgG antibodies of each serum sample simultaneously in the same ELISA plates, (2) selection of a monoclonal antibody having similar affinity to both JEV and the four DENV serotypes, (3) addition of virus-infected cell culture supernatants containing equal concentration of DENV or JEV in each well, and (4) captured IgM or IgG antibodies incubated to a cocktail of mixed viral antigens and the monoclonal antibody in a single step. A one-step SYBR Green I real-time RT-PCR (QuantiTect SYBR Green RT-PCR kit; Qiagen, Hilden, Germany) was performed in the Mx4000TM quantitative PCR system (Stratagene, La Jolla, CA) to detect and differentiate dengue virus serotypes in acute-phase serum samples, as described previously[17, 18].
Statistical analyses were performed using Fisher’s exact test for categorical variables and the t test for continuous variables. Clinical and laboratory findings were compared using SPSS version 11.5 (SPSS, Chicago, IL, USA). p values less than 0.05 were considered significant. The sensitivity and specificity of the items for predicting dengue infection were determined for each assigned cut-off value.
Demographic characteristics and diagnosis of 376 dengue patients during the 2007 outbreak in southern Taiwan
≥ 18 y/o
Hospital stay (days)
4.1 ± 3.1
3.4 ± 2.6
Clinical presentations and laboratory features of 376 dengue patients in first visit to clinic during the 2007 outbreak in southern Taiwan
5.1 ± 1.5
6 ± 1.7
Fever to clinic (days)
4.1 ± 2.1
4 ± 1.7
3564 ± 1719
2971 ± 1761
PLT (×10 3 /cmm)
96 ± 51
102 ± 46
126 ± 132
166 ± 206
81 ± 77
80 ± 101
20 ± 24
6 ± 11
39 ± 6
44 ± 10
The most notable laboratory findings included leukopenia, thrombocytopenia, prolonged aPTT, elevated serum levels of aminotransferase and low CRP. Lower WBC (2971 ± 1761/cmm vs. 3564 ± 1719/cmm, p = 0.006) and CRP level (6 ± 11 mg/L vs. 20 ± 24 mg/L, p = 0.011) and longer aPTT (39 ± 6 secs vs. 44 ± 10 secs, p = 0.021) were frequent to encounter in dengue-infected children (Table 2).
Comparison of clinical and laboratory characteristics between dengue positive and negative cases during the 2007 outbreak in southern Taiwan
Dengue positive (n = 376)
Dengue negative (n = 114)
3458 ± 3956
5950 ± 2851
97 ± 122
147 ± 85
133 ± 293
111 ± 241
81 ± 150
134 ± 341
18 ± 29
36 ± 60
40 ± 45
31 ± 3
Value of selected clinical features in predicting a laboratory-positive diagnosis of dengue in suspected dengue patients during the 2007 outbreak in southern Taiwan
Positive predictive value (%)
Negative predictive value (%)
(6) Positive tourniquet test*
Value of selected laboratory features in predicting a laboratory-positive diagnosis of dengue in suspected dengue patients during the 2007 outbreak in southern Taiwan
Positive predictive value (%)
Negative predictive value (%)
(1) WBC <4000/cmm
(2) PLT < 150 × 103/cmm
(3) AST/ALT > 1.5
(4) CRP < 20 mg/L
(5) aPTT > 38 sec
(1) + (2)
(1) + (4)
(1) + (2) + (3)
(1) + (2) + (4)
(1) + (2) + (5)
(1) + (2) + (3) + (4)
(1) + (2) + (3) + (4) + (5)
For a dengue non-endemic area like Taiwan, early case identification is the key for effective dengue control. However, the revised 2009 symptom-based clinical management guideline from the World Health Organization did not require laboratory-confirmation. The revised classification of dengue cases is considered by many to be too broad[19, 20]. Accurate diagnosis of dengue infection is of great important in non-endemic areas like Taiwan, since the goal of dengue control is not only to eliminate the occurrence of severe cases but also to confirm the possible dengue cases. However, the knowledge and practice of healthcare professionals in Taiwan seemed inadequate for the prompt case finding. Universal laboratory for dengue infection are neither economic nor efficient for most countries. Therefore, there is a clinical need to determine who should take the diagnostic test, virological or serological, in daily clinical practice in Taiwan.
The early symptom/signs set of acute dengue virus infection is variable and it is difficult to distinguish it from other kinds of febrile illnesses[22, 23]. Our study found that a combination of commonly routine blood tests including white blood count, platelet count, liver function tests, and CRP and coagulation profiles is useful in detecting laboratory-confirmed dengue infection. Previous study in Thailand showed that children with dengue were more likely to report anorexia, nausea, and vomiting and to have a positive tourniquet test. Dengue infected children had also lower total white blood cell counts, absolute neutrophil and absolute monocyte counts, and higher plasma AST and ALT levels. A recent report also showed that patients with bleeding, decrease in total protein, increase in blood urea and decrease in lymphocyte proportion had higher odds for developing dengue hemorrhagic fever. Simple clinical and laboratory markers can serve as an adjuvant in addition to history and physical examination, and also reduce the possible cost for universal laboratory diagnostic screening[14, 24]. The symptoms combination identified here while having high positive predictive value still had low sensitivity. Therefore it may be a useful addition to the clinical evaluation and there is still a need to identify tests with better sensitivity and specificity. Besides, the accuracy of dengue diagnostic tests depends on the prevalence of dengue and time of sampling.
The difference in clinical manifestation between adult and pediatric dengue infections have been an important issue. A previous study in Taiwan showed that adult patients have higher incidences of arthralgia, myalgia, headache, abdominal pain and upper gastrointestinal bleeding. The adult dengue patient also had lower platelet counts, prothrombin time and serum albumin levels. The incidence of elevated alanine aminotransferase levels and prevalence of dengue hemorrhagic fever in adults are also higher than children. The clinical manifestations in current study showed similarity between adult and pediatric patients during the outbreak. Whereas, the laboratory characteristics demonstrated significant differences of WBC (p = 0.006), CRP (p = 0.011) and aPTT (p = 0.021) between adult and pediatric dengue patients.
Dengue poses a substantial economic and disease burden in Southeast Asia. The threshold for dengue admission in Taiwan is low, as showed in our study; nearly 80% of dengue patient were admitted to the hospital for 3–4 days. This finding is similar to Singapore, but much higher than other countries in the Americas and Asia. In a prospective health care facility-based study on disease burden and cost of dengue illnesses in eight endemic countries, around 45% were hospitalized for at least one day. High admission rate for suspected dengue cases might compete the medical resources for other diseases and increase the burden of healthcare systems[20, 27], simple predictive markers in this study could provide a screening tool in a non-endemic area of dengue. Dengue nonstructural protein 1 (NS1) antigen is an early antigen presenting in sera of Dengue patients and involves in the pathogenesis of dengue infection. NS1 antigen strip has also been suggested as a rapid, easy-to-perform, sensitive, and specific test for the early diagnosis of dengue infection after the onset of fever. Our predictive system could be either used to decide the priority of NS1 antigen strip usage or to increase the sensitivity/ specificity of the test.
The overall disease severity in this outbreak is relatively lower than other studies. One of the possible explanations is that most of our patients were infected by dengue virus serotype 1. Dengue virus serotype 2 has been associated with risk factors of developing dengue hemorrhagic fever/dengue shock syndrome[29, 31]. Besides, high accessibility to medical services and low admission threshold provide early intervention and prevent further morbidity/mortality. This practice is in line with the 2009 WHO clinical management guideline, which also encourage admitting patients with danger signs to the medical facilities.
There are several limitations in our study. Firstly, the retrospective and hospital-based design might not reflect the whole dengue-infected groups. However, these results provide useful references for clinician practicing in a non-endemic area of dengue. Secondly, the symptoms combination identified while having high positive predictive value still had low sensitivity. Therefore, while it may be a useful addition to the clinical evaluation, there is still a need to identify tests with better sensitivity and specificity. Finally, the study was conducted in a population with high prevalence of dengue infection and therefore the high positive predictive value will not be replicated in a low prevalence population. The accuracy of these predictive markers might be subject to change in accordance to the prevalence of dengue infection and alertness of healthcare professionals. There is still no single clinical and laboratory marker available for predicting dengue infection, even the new WHO guideline.
Early diagnosis of dengue infection remains a challenge to clinicians around the world. The positive predictive value for laboratory-confirmed dengue infection with combination of leukopenia (< 4000/cmm), thrombocytopenia (< 150 × 103/cmm), prolonged aPTT (> 38 sec), elevated aminotransferase (AST/ALT > 1.5) and low CRP (< 20 mg/L) is 93.1%. These clinical and laboratory findings may serve as predictive markers to promote early diagnosis of dengue infection in Taiwan.
- Halstead SB: Dengue. Lancet. 2007, 370 (9599): 1644-1652.View ArticlePubMedGoogle Scholar
- Mackenzie JS, Gubler DJ, Petersen LR: Emerging flaviviruses: the spread and resurgence of Japanese encephalitis. West Nile and dengue viruses. Nat Med. 2004, 10 (12 Suppl): S98-S109.View ArticlePubMedGoogle Scholar
- Edelman R: Dengue vaccines approach the finish line. Clinical infectious diseases: an official publication of the Infectious. Dis Soc Am. 2007, 45 (Suppl 1): S56-S60.Google Scholar
- Ramos MM, Tomashek KM, Arguello DF, Luxemburger C, Quinones L, Lang J, Munoz-Jordan JL: Early clinical features of dengue infection in Puerto Rico. Trans R Soc Trop Med Hyg. 2009, 103 (9): 878-884.View ArticlePubMedGoogle Scholar
- Ligon BL: Dengue fever and dengue hemorrhagic fever: a review of the history, transmission, treatment, and prevention. Semin Pediatr Infect Dis. 2005, 16 (1): 60-65.View ArticlePubMedGoogle Scholar
- Guha-Sapir D, Schimmer B: Dengue fever: new paradigms for a changing epidemiology. Emerging themes in epidemiology. 2005, 2 (1): 1-PubMed CentralView ArticlePubMedGoogle Scholar
- Harn MR, Chiang YL, Tian MJ, Chang YH, Ko YC: The 1991 dengue epidemic in Kaohsiung City. J Formos Med Assoc. 1993, 92: 39-43.Google Scholar
- Lee MS, Hwang KP, Chen TC, Lu PL, Chen TP: Clinical characteristics of dengue and dengue hemorrhagic fever in a medical center of southern Taiwan during the 2002 epidemic. J Microbiol Immunol Infect. 2006, 39 (2): 121-129.PubMedGoogle Scholar
- Huang JH, Liao TL, Chang SF, Su CL, Chien LJ, Kuo YC, Yang CF, Lin CC, Shu PY: Laboratory-based dengue surveillance in Taiwan, 2005: a molecular epidemiologic study. Am J Trop Med Hyg. 2007, 77 (5): 903-909.PubMedGoogle Scholar
- Kalayanarooj S, Vaughn DW, Nimmannitya S, Green S, Suntayakorn S, Kunentrasai N, Viramitrachai W, Ratanachu-eke S, Kiatpolpoj S, Innis BL, Rothman AL, Nisalak A, Ennis FA: Early clinical and laboratory indicators of acute dengue illness. J Infect Dis. 1997, 176 (2): 313-321.View ArticlePubMedGoogle Scholar
- Dietz VJ, Gubler DJ, Rigau-Perez JG, Pinheiro F, Schatzmayr HG, Bailey R, Gunn RA: Epidemic dengue 1 in Brazil, 1986: evaluation of a clinically based dengue surveillance system. Am J Epidemiol. 1990, 131 (4): 693-701.PubMedGoogle Scholar
- Nunes MR, Neto JP, Casseb SM, Nunes KN, Martins LC, Rodrigues SG, Matheus S, Dussart P, Casseb LM, Vasconcelos PF: Evaluation of an immunoglobulin M-specific capture enzyme-linked immunosorbent assay for rapid diagnosis of dengue infection. J Virol Methods. 2011, 171 (1): 13-20.View ArticlePubMedGoogle Scholar
- Nunes-Araujo FR, Ferreira MS, Nishioka SD: Dengue fever in Brazilian adults and children: assessment of clinical findings and their validity for diagnosis. Ann Trop Med Parasitol. 2003, 97 (4): 415-419.View ArticlePubMedGoogle Scholar
- Chadwick D, Arch B, Wilder-Smith A, Paton N: Distinguishing dengue fever from other infections on the basis of simple clinical and laboratory features: application of logistic regression analysis. J Clin Virol. 2006, 35 (2): 147-153.View ArticlePubMedGoogle Scholar
- Gilbert EH, Lowenstein SR, Koziol-McLain J, Barta DC, Steiner J: Chart reviews in emergency medicine research: Where are the methods?. Ann Emerg Med. 1996, 27 (3): 305-308.View ArticlePubMedGoogle Scholar
- Falconar AK, De Plata E, Romero-Vivas CM: Altered enzyme-linked immunosorbent assay immunoglobulin M (IgM)/IgG optical density ratios can correctly classify all primary or secondary dengue virus infections 1 day after the onset of symptoms, when all of the viruses can be isolated. Clin Vaccine Immunol. 2006, 13 (9): 1044-1051.PubMed CentralView ArticlePubMedGoogle Scholar
- Shu PY, Huang JH: Current advances in dengue diagnosis. Clin Diagn Lab Immunol. 2004, 11 (4): 642-650.PubMed CentralPubMedGoogle Scholar
- Shu PY, Chang SF, Kuo YC, Yueh YY, Chien LJ, Sue CL, Lin TH, Huang JH: Development of group- and serotype-specific one-step SYBR green I-based real-time reverse transcription-PCR assay for dengue virus. J Clin Microbiol. 2003, 41 (6): 2408-2416.PubMed CentralView ArticlePubMedGoogle Scholar
- Hadinegoro SR: The revised WHO dengue case classification: does the system need to be modified?. Paediatrics and international child health. 2012, 32 (Suppl 1): 33-38.PubMed CentralView ArticlePubMedGoogle Scholar
- Narvaez F, Gutierrez G, Perez MA, Elizondo D, Nunez A, Balmaseda A, Harris E: Evaluation of the traditional and revised WHO classifications of Dengue disease severity. PLoS Negl Trop Dis. 2011, 5 (11): e1397-PubMed CentralView ArticlePubMedGoogle Scholar
- Ho TS, Huang MC, Wang SM, Hsu HC, Liu CC: Knowledge, attitude, and practice of dengue disease among healthcare professionals in southern Taiwan. J Formos Med Assoc. 2013, 112 (1): 18-23.View ArticlePubMedGoogle Scholar
- Halstead SB: More dengue, more questions. Emerg Infect Dis. 2005, 11 (5): 740-741.PubMed CentralView ArticlePubMedGoogle Scholar
- Wilder-Smith A, Schwartz E: Dengue in travelers. N Engl J Med. 2005, 353 (9): 924-932.View ArticlePubMedGoogle Scholar
- Lee VJ, Lye DC, Sun Y, Fernandez G, Ong A, Leo YS: Predictive value of simple clinical and laboratory variables for dengue hemorrhagic fever in adults. J Clin Virol. 2008, 42 (1): 34-39.View ArticlePubMedGoogle Scholar
- Peeling RW, Artsob H, Pelegrino JL, Buchy P, Cardosa MJ, Devi S, Enria DA, Farrar J, Gubler DJ, Guzman MG, Halstead SB, Hunsperger E, Kliks S, Margolis HS, Nathanson CM, Nguyen VC, Rizzo N, Vazquez S, Yoksan S: Evaluation of diagnostic tests: dengue. Nat Rev Microbiol. 2010, 8 (12 Suppl): S30-38.View ArticlePubMedGoogle Scholar
- Wang CC, Lee IK, Su MC, Lin HI, Huang YC, Liu SF, Wu CC, Lin MC: Differences in clinical and laboratory characteristics and disease severity between children and adults with dengue virus infection in Taiwan, 2002. Trans R Soc Trop Med Hyg. 2009, 103 (9): 871-877.View ArticlePubMedGoogle Scholar
- Shepard DS, Undurraga EA, Halasa YA: Economic and disease burden of dengue in Southeast Asia. PLoS Negl Trop Dis. 2013, 7 (2): e2055-PubMed CentralView ArticlePubMedGoogle Scholar
- Suaya JA, Shepard DS, Siqueira JB, Martelli CT, Lum LC, Tan LH, Kongsin S, Jiamton S, Garrido F, Montoya R, Armien B, Huy R, Castillo L, Caram M, Sah BK, Sughayyar R, Tyo KR, Halstead SB: Cost of dengue cases in eight countries in the Americas and Asia: a prospective study. Am J Trop Med Hyg. 2009, 80 (5): 846-855.PubMedGoogle Scholar
- Lei HY, Yeh TM, Liu HS, Lin YS, Chen SH, Liu CC: Immunopathogenesis of dengue virus infection. J Biomed Sci. 2001, 8 (5): 377-388.View ArticlePubMedGoogle Scholar
- Chaiyaratana W, Chuansumrit A, Pongthanapisith V, Tangnararatchakit K, Lertwongrath S, Yoksan S: Evaluation of dengue nonstructural protein 1 antigen strip for the rapid diagnosis of patients with dengue infection. Diagn Microbiol Infect Dis. 2009, 64 (1): 83-84.View ArticlePubMedGoogle Scholar
- Thein S, Aung MM, Shwe TN, Aye M, Zaw A, Aye K, Aye KM, Aaskov J: Risk factors in dengue shock syndrome. Am J Trop Med Hyg. 1997, 56 (5): 566-572.PubMedGoogle Scholar
- Thein TL, Gan VC, Lye DC, Yung CF, Leo YS: Utilities and limitations of the World Health Organization 2009 warning signs for adult dengue severity. PLoS Negl Trop Dis. 2013, 7 (1): e2023-PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.