Journal Home
Search for

Volume 38, Issue 1, Pages 1-6 (January 2007)


View previous. 2 of 18 View next.

Post-infectious fatigue syndrome in dengue infection

Raymond C.S. SeetabCorresponding Author Informationemail address, Amy M.L. Quekb, Erle C.H. Limab

Received 4 July 2006; received in revised form 1 October 2006; accepted 23 October 2006. published online 30 November 2006.

Abstract 

Background

Although the acute manifestations of dengue are well known, few studies have assessed the long-term consequences of dengue infection. We prospectively studied the incidence and factors associated with fatigue in a cohort of patients following dengue infection.

Methods

We included patients with serologically confirmed dengue infection admitted to the National University Hospital, Singapore, during a dengue outbreak from October–November 2005. The severity of dengue was graded as dengue fever, dengue haemorrhagic fever and dengue shock syndrome. A follow-up telephone interview was performed two months following hospital discharge, where a Fatigue Questionnaire was administered. The presence of significant fatigue was considered as the main outcome measure. Significance was assessed at P<0.05.

Results

One hundred twenty-seven patients, 71 (55.9%) males and 56 (44.1%) females, of mean age 36.06 years (range, 16–70; S.D., 13.722), participated in this study. Twenty-five (19.7%) patients had dengue haemorrhagic fever and the remaining 102 (80.3%) had dengue fever. In multivariate analysis, increased age, female sex, the presence of chills, and the absence of rashes were significantly associated with the development of fatigue post-dengue infection. There was no significant association between fatigue and dengue severity.

Conclusions

This observation represents the first systematic evidence that dengue can result in clinical disease beyond the acute phases of infection. Host factors, such as age and sex may be important in the pathogenesis of this clinical entity.

Article Outline

Abstract

1. Introduction

2. Methods

2.1. Setting and patients

2.2. Demographic, clinical information, laboratory parameters

2.3. Dengue severity

2.4. Fatigue assessment

2.5. Statistical analysis

3. Results

3.1. Demographic variables

3.2. Clinical and laboratory parameters

3.3. Dengue severity and virological features

3.4. Fatigue assessment

4. Discussion

Conflict of interest statement

Acknowledgment

References

Copyright

1. Introduction 

return to Article Outline

Dengue is an important arboviral disease affecting 2.5 million people in more than 100 countries worldwide (Wilder-Smith and Schwartz, 2005). It has been estimated that 2.5 billion people, who live in these populous tropical and subtropical countries where dengue is endemic, are at risk of contracting the disease (Wilder-Smith and Schwartz, 2005). In Singapore, dengue has a year-round transmission with an incidence of 1–4 cases per 10,000. In the past two decades, a surge of outbreaks was observed in 1992, 1998 and 2004. To date, the highest number of cases in Singapore, with a population of four million, was recorded in 2004, with 9459 cases reported. Dengue infection is the ninth most common cause of hospitalization in Singapore, accounting for 8284 hospitalizations in 2004 and 3913 in 2002 (Ministry of Health Singapore, 2005).

Dengue results in a spectrum of clinical presentations, from subclinical infection to severe haemorrhagic disease (WHO, 1997). Dengue fever is characterized by sudden onset of high fever, chills, severe headache (mostly frontal or retro-ocular), skin rash and general malaise which is usually benign and self-limiting (WHO, 1997). Two distinct clinical entities, dengue haemorrhagic fever (DHF) and dengue shock syndrome (DSS), have been associated with poorer outcomes (WHO, 1997). Increased systemic vascular leakage and disordered haemostasis are central to the circulatory shock and the shock complications of dengue infections. Haemorrhagic complications of dengue infection include skin and gum bleeding, haemoptysis, haematemesis, epistaxis and intracerebral haemorrhage (WHO, 1997). The mortality rate of DHF and DSS is high, approaching 5% (Wilder-Smith and Schwartz, 2005, Ong et al., in press).

Fatigue is common during the acute stages of dengue infection (Kularatne, 2005, Schwartz et al., 1996, Zhang et al., 2005, Wittesjo et al., 1993) and is defined by the presence of a persistent sense of exhaustion that result in a decreased capacity for physical and mental work (Barofsky and Legro, 1991). A chronic and potentially incapacitating clinical entity, post-infectious fatigue syndrome, has been described in the later phases following an initial recovery of infections, such as infectious mononucleosis, Q fever, Lyme disease and Epstein–Barr virus (Prins et al., 2006). Although the persistence of fatigue following an acute dengue infection has been observed in adults and children (Kularatne, 2005), this phenomenon has not been systematically studied.

During an outbreak of dengue infection, we performed a prospective follow-up study to assess the incidence of fatigue in a cohort of hospitalized patients with dengue infection, and to determine the association between post-infectious fatigue and clinical variables, such as demographic characteristics, symptoms, laboratory parameters and dengue severity.

2. Methods 

return to Article Outline

2.1. Setting and patients 

We included patients with serologically confirmed dengue infection who were admitted to the Department of Medicine, National University Hospital, Singapore, from 1 October to 31 November 2005 during an outbreak of dengue infection. Informed consent was obtained prior to recruitment of patients into the study. During their admission, demographics characteristics and clinical information (symptoms, laboratory parameters and severity of dengue infection) were collected using a standardized questionnaire by trained interviewers (Seet et al., 2005). A follow-up telephone interview was performed 2 months following their discharge from hospital, where a questionnaire was administered to elicit fatigue symptomatology from the onset of dengue infection to two months later. The study protocol was approved by the ethics review committee of our hospital.

2.2. Demographic, clinical information, laboratory parameters 

We sought to determine if the patients had symptoms of fever, nausea, vomiting, chills, poor appetite, cough, abdominal pain, diarrhea (loose watery stool for more than three times a day), rashes, muscle pain or headaches within 24–48h of admission. The results of haematologic and biochemical laboratory investigations, performed as part of routine clinical care, were obtained from the case-sheets. They were followed up in the outpatient clinic about 2 weeks from discharge and dengue serology was repeated in patients who had negative IgM to dengue during the hospital admission.

Patients were enrolled in the study if: (1) a diagnosis of dengue infection was confirmed serologically, they were (2) aged 16 years and above or (3) hospitalized. We excluded patients who: (1) had negative serum dengue IgM antibodies, (2) declined a telephone interview 2 months following hospitalisation and (3) did not converse in English. IgM and IgG antibodies to dengue were measured in the acute and convalescent sera using a double-sandwich capture ELISA (Innis et al., 1989). For single serum samples, 40 units of IgM to dengue were considered as evidence of acute dengue infection (Innis et al., 1989). In some patients, dengue virus RNA was performed by reverse transcriptase-nested PCR (Lanciotti et al., 1992).

2.3. Dengue severity 

The patients were classified and managed using the recommendations of the World Health Organization (WHO) (WHO, 1997). DHF was graded on discharge and was defined as the presence of plasma leakage and thrombocytopaenia, with platelet count <100,000μL−1 (WHO, 1997). The evidence of plasma leakage was defined as a rise of haematocrit >20% from baseline, or from average haematocrit for age and sex of the population, or a drop in haematocrit of >20% after sufficient fluid therapy. Other criteria for plasma leakage were hypoproteinaemia, pleural effusion, and ascites. Haemorrhagic tendencies included a positive tourniquet test, skin bleeding (petechiae, ecchymoses or purpurae), mucosal bleeding (epistaxis, gum bleeding or other sites), haematemesis or malaena.

2.4. Fatigue assessment 

The presence of significant fatigue was measured by the Fatigue Questionnaire (FQ) (Dittner et al., 2004), administered during a telephone interview 2 months following their hospitalization. The FQ is a validated questionnaire, consisting of 11 items that measure fatigue-related symptoms encompassing the physical and mental dimensions. Physical fatigue corresponds to the subjective feeling of being exhausted and lacking energy, whereas mental fatigue describes the subjective feeling of being mentally exhausted, incorporating items on concentration, memory and speech. The seven items on physical fatigue and the four items on mental fatigue have four response categories (0=none; 1=mild; 2=moderate; 3=severe) (Table 1). Thus, higher scores imply more fatigue, with a maximum scale score of 33.

Table 1.

Fatigue Questionnaire

NoneMildModerateSevere
1. Do you have problems with tiredness?0123
2. Do you have problems starting things?0123
3. Do you feel weak?0123
4. Do you make slips of the tongue when speaking?0123
5. Do you need to rest more?0123
6. Are you lacking in energy?0123
7. Do you have difficulty concentrating?0123
8. How is your memory?0123
9. Do you feel sleepy or drowsy?0123
10. Do you have less strength in your muscles?0123
11. Do you have problems thinking clearly?0123

The scale has good clinical validity in a variety of medical disorders, such as chronic fatigue syndrome, HIV, cancer and multiple sclerosis, in hospital and population-based studies alike (Dittner et al., 2004). By comparing the FQ with the fatigue question in the Revised Clinical Interview Schedule, a relative operating characteristics analysis suggested that a cutoff point of 4 or higher on the dichotomized scale would be the optimum cutoff for a case definition of fatigue (Fukuda et al., 1994). As no temporal criteria have been applied in the definition of post-infectious fatigue, the follow-up period of 2 months was arbitrarily chosen to reflect significant fatigue post-dengue infection.

2.5. Statistical analysis 

All quantitative data were expressed as the mean±standard deviation (S.D.). Univariate analysis used Chi-square or Fisher's exact test for comparisons of qualitative values or the unpaired Student's t-test for quantitative values. Multivariate analysis used logistic regression. Significant fatigue was a subjective criterion that was compared against demographics, symptoms, laboratory and dengue severity covariates. Significance was assessed at P<0.05. Adjusted odds ratio (OR) and 95% confidence intervals (CI) were derived from the coefficient of the final multivariate logistic model. All analyses were performed using SPSS 13.0 package (Release 12.0, SPSS Inc., 2003, Chicago, IL).

3. Results 

return to Article Outline

3.1. Demographic variables 

Of the 163 consecutive patients who were evaluated, 36 patients were excluded (25 returned to their country of origin, 6 chose not to participate and 5 lacked an adequate understanding of the English language). A total of 127 patients were enrolled in this study and agreed to be interviewed 2 months following their hospital discharge. Their mean age was 36.06 years (range, 16–70; standard deviation, 13.722), 71 (55.9%) males and 56 (44.1%) females who were of Chinese (n=96, 75.6%), Malay (n=22, 17.3%) and Indian (n=6, 4.7%) ethnicity (Table 2). The response rate of those who had consented to the telephone interview was 100%.

Table 2.

Demographic characteristics, symptoms and laboratory parameters of study participants (n=127)

Demographic characteristics
Age (mean±S.D.)36.06±13.722 years
Sex (%)
Male71 (55.9)
Female56 (4.1)
Race (%)
Chinese96 (75.6)
Malay22 (17.3)
Indian6 (4.7)
Others3 (2.4)
SymptomsYes (%)No (%)
Fever119 (93.7)8 (6.3)
Nausea88 (69.3)39 (30.7)
Chills88 (69.3)39 (30.7)
Poor appetite113 (89.0)14 (11.0)
Fatigue102 (80.3)25 (19.7)
Cough34 (26.8)93 (73.2)
Abdominal pain38 (29.9)89 (70.1)
Vomiting59 (46.5)68 (53.5)
Diarrhea49 (38.6)78 (61.4)
Rashes64 (50.4)63 (49.6)
Muscle pain79 (62.2)48 (37.8)
Headaches95 (74.8)32 (25.2)
Laboratory featuresMean+standard deviationNormal ranges
Haematologic parameters
White cell count (×109L−1)3.080±1.61644.0–11.0
Haemoglobin (g/dL)14.509±2.022913.1–17.3
Hematocrit (%)43.091±4.759539.9–51.9
Platelet (×109L−1)67.84±30.280130–400
Biochemistry parameters
Sodium (mmol/L)135.68±2.985135–150
Potassium (mmol/L)3.71±0.4883.5–5.0
Urea (mmol/L)3.83±1.6072.5–7.5
Creatinine (mmol/L)78.48±33.17065–125
Albumin (mmol/L)39.04±4.07938–48
Total bilirubin (IU/L)10.64±7.9335–30
Aspartate transaminase (IU/L)187.03±413.91710–50
Alkaline transaminase (IU/L)107.01±138.02310–70
Alkaline phosphatase (IU/L)71.09±55.70640–130
Lactate dehydrogenase (mmol/L)1060.48±990.832300–700
Prothrombin time (s)13.66±1.5879.8–13.3
Activated thromboplastin time (s)40.02±6.64826.3–36.1

3.2. Clinical and laboratory parameters 

Fever (93.7%), poor appetite (89.0%), fatigue (80.3%), headaches (74.8%), nausea (69.3%), chills (69.3%), muscle pain (62.2%) and rashes (50.4%) were amongst the common symptoms amongst the study participants. Mean (standard deviation) white cell count was 3.080×109L−1 (1.6164), haemoglobin 14.509g/dL (2.0229), haematocrit 43.091% (4.7595), platelet count 67.84×109L−1 (30.280), sodium 135.68mmol/L (2.985), potassium 3.71mmol/L (0.488), urea 3.83mmol/L (1.607), creatinine 78.48mmol/L (33.170), albumin 39.04mmol/L (4.079), total bilirubin 10.64IU/L (7.933), aspartate transaminase 187.03IU/L (413.917), alkaline transaminase 107.01IU/L (138.023), alkaline phosphatase 71.09IU/L (55.706), lactate dehydrogenase 1060.48IU/L (990.832), prothrombin time 13.66s (1.587) and activated thromboplastin time 40.02s (6.648) (Table 2).

3.3. Dengue severity and virological features 

Twenty-five (19.7%) patients were diagnosed with dengue haemorrhagic fever and the remaining 102 (80.3%) had dengue fever. DEN-1 was isolated from the serum of 20 patients, DEN-3 in six patients and DEN-4 in one patient. None had received blood transfusion products during their acute hospitalization.

3.4. Fatigue assessment 

Significant fatigue was present in 31 (24.4%) patients. The relationships between the demographic features, symptoms, laboratory features and dengue severity characteristics, and the presence of significant fatigue are shown in Table 3. None of the patients had any symptoms of infection from the onset of dengue infection to the interview. In multivariate analysis, increased age (OR 1.118, 95% CI 1.033–1.209), female sex (OR 9.687, 95% CI 1.546–60.684), the presence of chills (OR 6.904, 95% CI 1.157–41.202) and the absence of rashes (OR 38.462, 95% CI 1.292–58.824) were significantly associated with the development of fatigue, post-dengue infection. There was no significant association between haematologic and biochemical parameters, and dengue severity.

Table 3.

Summary of demographic, symptoms and laboratory parameters of patients with significant fatigue following dengue infection

FatigueP-valueOdds ratio (95% confidence interval)
Yes (%) (n=31)No (%) (n=96)
Demographic characteristics
Age (mean±S.D.)39.00±13.05135.11±13.8650.0061.118 (1.033–1.209)
Sex 0.015
Male14 (45.2%)57 (59.4%) 1.000
Female17 (54.8%)39 (40.6%) 9.687 (1.546–60.684)
Race 0.178
Chinese20 (64.5%)76 (79.2%)
Malay6 (19.4%%)16 (16.7%)
Indian2 (6.5%)4 (4.2%)
Others3 (9.7%)0
Symptoms
Fever27 (87.1%)92 (95.8%)0.2770.310 (0.037–2.561)
Nausea24 (77.4%)64 (66.7%)0.2770.310 (0.037–2.561)
Chills25 (80.6%)63 (65.6%)0.0346.904 (1.157–41.202)
Poor appetite28 (90.3%)85 (86.5%)0.5380.465 (0.041–5.324)
Fatigue24 (77.4%)78 (81.3%)0.4500.795 (0.635–0.925)
Cough7 (22.6%)27 (28.1%)0.1463.467 (0.648–18.558)
Abdominal pain8 (25.8%)30 (31.3%)0.2572.593 (0.498–13.496)
Vomiting15 (48.4%)44 (45.8%)0.7500.737 (0.113–4.819)
Diarrhea14 (45.2%)35 (36.5%)0.0590.193 (0.035–1.068)
Rashes18 (58.1%)46 (47.9%)0.0260.113 (0.017–0.774)
Muscle pain20 (64.5%)59 (61.5%)0.4771.905 (0.323–11.237)
Headaches24 (77.4%)71 (74.0%)0.3200.387 (0.060–2.512)
Laboratory features (mean±standard deviation)
Hematologic parameters
White cell count (×109L−1)3.015±1.73983.101±1.58360.3671.284 (0.746–2.210)
Haemoglobin (g/dL)14.326±2.366714.568±1.90900.6890.858 (0.405–1.816)
Hematocrit (%)42.626±6.090243.241±4.27070.2671.235 (0.851–1.793)
Platelet (×109L−1)69.68±33.05067.25±29.4900.1461.022 (0.992–1.053)
Biochemistry parameters
Sodium (mmol/L)135.32±3.156135.80±2.9350.3110.850 (0.620–1.164)
Potassium (mmol/L)3.69±0.6243.72±0.4370.5760.618 (0.114–3.341)
Urea (mmol/L)3.70±1.9573.87±1.4830.0660.445 (0.187–1.055)
Creatinine (mmol/L)80.29±56.33377.88±21.0210.2271.026 (0.984–1.069)
Albumin (mmol/L)38.84±3.89139.11±4.1570.0911.234 (0.967–1.576)
Total bilirubin (IU/L)11.03±10.00210.51±7.1810.2110.936 (0.844–1.038)
Aspartate transaminase (IU/L)276.42±766.775157.55±187.7100.3131.004 (0.996–1.013)
Alkaline transaminase (IU/L)124.48±223.164101.24±95.9160.6970.997 (0.980–1.013)
Alkaline phosphatase (IU/L)79.97±78.38568.16±46.0500.7170.995 (0.966–1.024)
Lactate dehydrogenase (mmol/L)1268.94±1693.677991.73±603.6560.5150.999 (0.997–1.001)
Prothrombin time (s)13.98±1.03113.56±1.7220.5771.170 (0.674–2.031)
Activated thromboplastin time (s)42.12±9.46739.32±5.2940.3221.084 (0.924–1.273)
Dengue severity
Dengue haemorrhagic fever7 (22.6%)18 (18.8%)0.8550.851 (0.151–4.783)

P<0.05, by logistic regression analysis.

4. Discussion 

return to Article Outline

Post-infectious fatigue was observed in approximately 25% of hospitalized patients with dengue infection. Important risk factors for the development of fatigue included older age, female sex, the presence of chills and the absence of rashes. The incidence of fatigue following dengue infection, however, is lower when compared to those following the Epstein–Barr virus (38–40%) (White et al., 2001, Buchwald et al., 2000) and Q-fever (31%) (Ayres et al., 1998). Although disabling long-term outcomes, such as transverse myelitis (Seet et al., 2006) and Guillain–Barre syndrome (Patey et al., 1993) have been previously reported in case reports, this study represents the first systematic evidence that dengue can result in clinical disease beyond the acute phases of infection.

The pathogenesis of post-infectious fatigue is likely multifactorial and may result from a combination of pathogenic effects produced by the virus and the immune response of the host to the virus. In dengue infection, aberrations in the immune response is thought to trigger a complex series of immune responses, followed by transient aberration in the immune response resulting in an inversion of the CD4/CD8 ratio and an overproduction of cytokines, such as C3a and C5a that result in an immune-mediated damage to the endothelial cells (Guzman and Kouri, 2002). This may prompt a complex interaction of the immune, endocrine, musculoskeletal and neurological systems, possibly through the hypothalamic–pituitary–adrenal axis and the autonomic nervous system, to result in the clinical phenomenon of fatigue following dengue infection (Ader et al., 1991).

A higher frequency of post-infectious fatigue in older patients and females suggest that host factors are important in the pathogenesis of post-infectious fatigue in dengue infection. Certain attributes, such as reproductive function (Harlow et al., 1998), genetic constitution (Prins et al., 2006) and psychosomatic handling of stress (Deale et al., 1998), may underlie the predisposition to fatigue in females. The significance of chills and the absence of rashes as predictors of fatigue are not certain. The relative importance of host genetic factors is also suggested by the different susceptibility to dengue haemorrhagic (DHF) in the various racial and sex groups (Halstead, 1988). Recent studies on the different HLA associations in DHF lend support to the importance of the host factor in modulating the effects of dengue infection (Stephens et al., 2002, LaFleur et al., 2002, Zivna et al., 2002). In contrast, the lack of association between the severity of dengue infection and post-infectious fatigue in the current study suggest that viral factors may be less important in the pathogenesis of fatigue.

Our study has several limitations. First, only hospitalized patients with symptomatic infections were recruited and those with asymptomatic infections who do not require hospitalization were not studied. Further population-based studies should be performed to determine the burden of disease within the community. Second, although our patients had serological confirmation of dengue infection, the possibility of a concurrent co-infection that may have ameliorated or aggravated fatigue could not be excluded. Third, the premorbid psychological make-up of the patients, which may influence the perception of fatigue, was not included in this study. These limitations, however, should be set against the strengths of the prospective study design and high rates of follow-up.

We describe a syndrome of post-infectious fatigue that occurred in the later stages of dengue infection and provide evidence that dengue can result in clinical disease beyond the acute phases of infection. The association of age and female sex, but not dengue severity, with the development of fatigue suggests that host factors are important in the pathogenesis of post-infectious fatigue in dengue infection. The mechanisms for fatigue following dengue infection are not known and may be explained by the immune alterations that are triggered by the dengue virus. Further studies are needed to better understand this clinical entity.

Conflict of interest statement 

return to Article Outline

We declare that we have no conflict of interest.

Acknowledgements 

return to Article Outline

We thank Adeline Chow, Guo Yaling, Dr. Goh Khean Teik, the medical and nursing staff of the National University Hospital, Singapore, for their contributions to this study.

Contributors: Raymond C.S. Seet took part in study conception and design, interpretation of results, drafted the initial manuscript and revision for important content. Amy M.L. Quek participated in the study design, acquisition and interpretation of results, and revision for important content. Erle C.H. Lim contributed to the study design, interpretation of results, and revision for important content.

References 

return to Article Outline

Ader et al., 1991. 1.In:  Ader R,  Felten DL,  Cohen N editor. Psychoneuroimmunology. 2nd ed.. San Diego: Academic Press; 1991;.

Ayres et al., 1998. 2.Ayres JG, Flint N, Smith EG, Tunnicliffe WS, Fletcher TJ, Hammond K, et al. Post-infection fatigue syndrome following Q fever. QJM. 1998;91:105–123. MEDLINE | CrossRef

Barofsky and Legro, 1991. 3.Barofsky I, Legro MW. Definition and measurement of fatigue. Rev Infect Dis. 1991;13:S94–S97.

Buchwald et al., 2000. 4.Buchwald DS, Rea TD, Katon WJ, Russo JE, Ashley RL. Acute infectious mononucleosis: characteristics of patients who report failure to recover. Am J Med. 2000;109:531–537. Abstract | Full Text | Full-Text PDF (96 KB) | CrossRef

Deale et al., 1998. 5.Deale A, Chalder T, Wessely S. Illness beliefs and treatment outcome in chronic fatigue syndrome. J Psychosom Res. 1998;45:77–83. Abstract | Full Text | Full-Text PDF (57 KB) | CrossRef

Dittner et al., 2004. 6.Dittner AJ, Wessely SC, Brown RG. The assessment of fatigue: a practical guide for clinicians and researchers. J Psychosom Res. 2004;56:157–170. Abstract | Full Text | Full-Text PDF (274 KB) | CrossRef

Fukuda et al., 1994. 7.Fukuda K, Straus SE, Hickie I, et al. The chronic fatigue syndrome: a comprehensive approach to its definition and study: International Chronic Fatigue Syndrome Study Group. Ann Intern Med. 1994;121:953–959. MEDLINE

Guzman and Kouri, 2002. 8.Guzman MG, Kouri G. Dengue: an update. Lancet Infect Dis. 2002;2:33–42. Abstract | Full Text | Full-Text PDF (212 KB) | CrossRef

Halstead, 1988. 9.Halstead SB. Pathogenesis of dengue: challenges to molecular biology. Science. 1988;239:476–481. MEDLINE

Harlow et al., 1998. 10.Harlow BL, Signorello LB, Hall JE, Dailey C, Komaroff AL. Reproductive correlates of chronic fatigue syndrome. Am J Med. 1998;105:94S–99S. Abstract | Full Text | Full-Text PDF (82 KB) | CrossRef

Innis et al., 1989. 11.Innis BL, Nisalak A, Nimmannitya S, Kusalerdchariya S, Chongswasdi V, Suntayakorn S, et al. An enzyme-linked immunosorbent assay to characterize dengue infections where dengue and Japanese encephalitis co-circulate. Am J Trop Med Hyg. 1989;40:418–427. MEDLINE

Kularatne, 2005. 12.Kularatne SA. Survey on the management of dengue infection in Sri Lanka: opinions of physicians and pediatricians. Southeast Asian J Trop Med Public Health. 2005;36:1198–1200. MEDLINE

LaFleur et al., 2002. 13.LaFleur C, Granados J, Vargas-Alarcon G, Ruiz-Morales J, Villarreal-Garza C, Higuera L, et al. HLA-DR antigen frequencies in Mexican patients with dengue virus infection: HLA-DR4 as a possible genetic resistance factor for dengue hemorrhagic fever. Hum Immunol. 2002;63:1039–1044. MEDLINE | CrossRef

Lanciotti et al., 1992. 14.Lanciotti RS, Calisher CH, Gubler DJ, Chang GJ, Vorndam AV. Rapid detection and typing of dengue viruses from clinical samples by using reverse transcriptase-polymerase chain reaction. J Clin Microbiol. 1992;30:545–551. MEDLINE

Ministry of Health Singapore, 2005. 15.Ministry of Health Singapore. Dengue Epidemiological Update. MOH Information Paper; 2005. www.moh.gov.sg/cmaweb/attachments/publication/3634f75df93g/Dengue_Info_Paper_final.pdf.

Ong et al., in press. 16.Ong A, Sandar M, Chen MI, Sin LY. Fatal dengue hemorrhagic fever in adults during a dengue epidemic in Singapore. Int J Infect Dis, 2006 Aug 7; [Epub ahead of print].

Patey et al., 1993. 17.Patey O, Ollivaud L, Breuil J, Lafaix C. Unusual neurologic manifestations occurring during dengue fever infection. Am J Trop Med Hyg. 1993;48:793–802. MEDLINE

Prins et al., 2006. 18.Prins JB, van der Meer JW, Bleijenberg G. Chronic fatigue syndrome. Lancet. 2006;367:346–355. Abstract | Full Text | Full-Text PDF (107 KB) | CrossRef

Schwartz et al., 1996. 19.Schwartz E, Mendelson E, Sidi Y. Dengue fever among travelers. Am J Med. 1996;101:516–520. Abstract | Full-Text PDF (489 KB) | CrossRef

Seet et al., 2005. 20.Seet RC, Ooi EE, Wong HB, Paton NI. An outbreak of primary dengue infection among migrant Chinese workers in Singapore characterized by prominent gastrointestinal symptoms and a high proportion of symptomatic cases. J Clin Virol. 2005;33:336–340. Abstract | Full Text | Full-Text PDF (71 KB) | CrossRef

Seet et al., 2006. 21.Seet RC, Lim EC, Wilder-Smith EP. Acute transverse myelitis following dengue virus infection. J Clin Virol. 2006;35:310–312. Abstract | Full Text | Full-Text PDF (73 KB) | CrossRef

Stephens et al., 2002. 22.Stephens HA, Klaythong R, Sirikong M, Vaughn DW, Green S, Kalayanarooj S, et al. HLA-A and -B allele associations with secondary dengue virus infections correlate with disease severity and the infecting viral serotype in ethnic Thais. Tissue Antigens. 2002;60:309–318. MEDLINE | CrossRef

White et al., 2001. 23.White PD, Thomas JM, Kangro HO, Bruce-Jones WD, Amess J, Crawford DH, et al. Predictions and associations of fatigue syndromes and mood disorders that occur after infectious mononucleosis. Lancet. 2001;358:1946–1954. Abstract | Full Text | Full-Text PDF (143 KB) | CrossRef

WHO, 1997. 24.WHO, mdfkljdlf, Dengue hemorrhagic fever: diagnosis, treatment, prevention and control. 2nd ed. 1997. www.who.int/csr/resources/publications/denuge/Denguepublication/en.

Wilder-Smith and Schwartz, 2005. 25.Wilder-Smith A, Schwartz E. Dengue in travelers. N Engl J Med. 2005;353:924–932. CrossRef

Wittesjo et al., 1993. 26.Wittesjo B, Eitrem R, Niklasson B. Dengue fever among Swedish tourists. Scand J Infect Dis. 1993;25:699–704. MEDLINE | CrossRef

Zhang et al., 2005. 27.Zhang FC, Chen YQ, Lu YC, Wang J, Chen WS, Hong WX. Analysis on clinical and epidemiological characteristics of 1032 patients with dengue fever in Guangzhou. Zhonghua Liu Xing Bing Xue Za Zhi. 2005;26:421–423. MEDLINE

Zivna et al., 2002. 28.Zivna I, Green S, Vaughn DW, Kalayanarooj S, Stephens HA, Chandanayingyong D, et al. T cell responses to an HLA-B*07-restricted epitope on the dengue NS3 protein correlate with disease severity. J Immunol. 2002;168:5959–5965. MEDLINE

a Department of Medicine, Yong Loo Lin School of Medicine, National University Singapore, Singapore

b Department of Medicine, National University Hospital, 5 Lower Kent Ridge Road, Singapore 119074, Singapore

Corresponding Author InformationCorresponding author at: Department of Medicine, National University Hospital, 5 Lower Kent Ridge Road, Singapore 119074, Singapore. Tel.: +65 67722516; fax: +65 67794112.

PII: S1386-6532(06)00409-4

doi:10.1016/j.jcv.2006.10.011


View previous. 2 of 18 View next.