ABSTRACT.
Dengue is an acute febrile illness endemic to tropical countries and associated with high mortality rates. Despite being a viral infection, there is rampant misuse of antibiotics in patients with dengue because of perceived delay in defervescence and fear of secondary bacterial infections. Therefore, there is a need to establish the average fever duration with a confidence interval among patients with dengue. Studies up to October 21, 2022 from two databases (PubMed and Embase) were included using the search terms related to dengue and duration of fever. All retrieved articles were screened for eligibility by two independent reviewers. Studies where the average duration of fever was available were included for systematic review. Articles with at least more than 20 patients where a mean and standard deviation for the total duration of fever was available were included for meta-analysis. A total of 643 articles were included from the two databases after duplicate deletion. After two rounds of screening, 31 articles (n = 7,905) were finally included. The mean duration of fever in the 20 articles included for meta-analysis was 5.1 (95% CI: 4.7–5.5) days. Longer duration of fever was seen in those with a higher grade of fever, those with higher disease severity, and those with concurrent bacterial infections. In the absence of risk factors for concurrent bacteremia, antimicrobials may be unnecessary in those with dengue fever duration of less than 5.5 days.
INTRODUCTION
Dengue is a flavivirus transmitted by the bite of Aedes mosquitoes.1 It can either be an asymptomatic or symptomatic febrile disease. The presentation of symptomatic dengue varies from mild to severe disease. The severe disease is associated with increased capillary permeability and/or hemorrhagic manifestations (dengue hemorrhagic fever), often leading to shock (dengue shock syndrome).1 Severe dengue cases are associated with high morbidity and mortality. In a recent WHO report, more than five million dengue cases and 5,000 dengue-related deaths were reported globally in 2023.2 Dengue is usually diagnosed by NS1 antigen test or polymerase chain reaction (PCR) in the early part of the illness and by IgM antibody–based serological assays after 5 days of illness.3 Dengue virus has four serotypes, DENV-1 to 4, each may be associated with a different disease severity.4 The treatment of dengue is primarily supportive.1 Because of the acute nature of the disease and the possibility of rapid deterioration, there is rampant misuse of antibiotics in patients with dengue.5 In a recent study from Indonesia, 17.5% of the hospitalized dengue patients received antimicrobials.5 One of the primary reasons for adding an antibiotic to a patient with dengue is a perceived delay in defervescence and a fear of secondary bacterial infections.5 Therefore, there is a need to establish the average fever duration with a confidence interval among patients with dengue to help clinicians decide on antimicrobial prescriptions.
MATERIALS AND METHODS
This Systematic Review and Meta-Analysis (SRMA) was started after it was registered with PROSPERO (Registration number-CRD42022355256) and is reported according to the PRISMA guidelines.6 This SRMA included studies from two databases (PubMed and Embase). We also used snowballing (searching the citations of retrieved papers for possible inclusion). The following search string was used: (dengue OR chikungunya) AND (“fever duration” OR “duration of fever” OR defervescence). Chikungunya was included as a comparator for dengue, both being mosquito-borne acute febrile diseases with short fever duration. Articles in all languages available in the two databases between 1852 and October 21, 2022 were retrieved and transferred into the Rayyan software. They were then reviewed for duplicates, and after removing the duplicates, the title and abstract were independently screened for eligibility by two authors (N. Gupta and C. Boodman). The conflicts were resolved by a third author (S. Van Den Broucke). After the initial screening, full-length articles were retrieved for full-text screening. The articles that met the eligibility criteria were included in the systematic review.
Studies where the average duration of fever for clinically or microbiologically diagnosed dengue (or chikungunya) in individuals of any age or sex was available were included. We excluded studies in which the duration of fever at the time of admission or presentation was available but the total duration of fever was not. Studies where the duration of illness or symptoms was mentioned but the duration of fever was not explicitly mentioned, studies on coinfections, and studies on nonhuman subjects were also excluded. Case reports, conference abstracts, reviews, systematic reviews, and letters to the editor were excluded from the systematic review.
Those articles with more than 20 patients where a mean and standard deviation for the total duration of fever was directly or indirectly available were put into a meta-analysis. The meta-analysis was performed with a random effects model (Der Simonian and Laird) using the open-source meta-analysis software developed by Wallace et al.7 This software uses the R environment as the statistical engine and Python for the graphical user interface.7 The mean pooled duration of the fever, along with a 95% CI, was calculated using the mean and standard deviation of the duration of the fever in individual studies. When mean and standard deviation were unavailable, they were indirectly inferred from the median, interquartile range, range, or 95% CI using previously described procedures.8,9 In the meta-analysis, the duration of fever for all included patients was considered. Subgroups were defined based on age, severity, history of prior dengue, serotype, immunosuppression, and concurrent infections. Wherever the duration of fever was mentioned exclusively for subgroups, the duration for those individual subgroups was entered into meta-analysis as separate entries, provided each had more than 20 cases. The critical appraisal of articles included in the meta-analysis used the Joanna Briggs Institute checklist for observational studies.10
RESULTS
A total of 784 articles (PubMed = 539, Embase = 245) were retrieved. After duplicate deletion (n = 151), 633 articles were included. After two rounds of screening, 31 articles were finally included (Figure 1). Ten articles were added after citation searching. The final 41 articles included 31 articles for dengue and 10 articles for chikungunya to serve as a comparator for dengue.11–49 Two articles included for dengue had data on patients with chikungunya as well.19,41 The PRISMA flow chart was generated using the package developed by Haddaway et al.50
Figure 1.
PRISMA flow diagram showing the screening and inclusion of studies.
All included studies were observational. Most studies were reported from the Indian subcontinent (n = 18) between 2000 and 2015 (Table 1). Most of the studies included hospitalized patients with dengue (Table 1). Antigen/antibody-based tests and PCR were the commonest diagnostic modalities (Table 1). The total number of included cases was 7,905, with a mean of 255 cases per study (range: 20–2,843) (Table 1). Except for five studies that included only pediatric patients, all others included adult patients17,22,33,38,39 (Table 1). The average age of adult patients ranged from 24 to 45 years (Table 1). The detailed definition of fever and assessment techniques used in different studies are compiled in Supplemental Table 1.
Table 1.
Characteristics of dengue studies included in the systematic review
| Sn | Author | Year of Study | No. of Cases | Average Age (years) | Age Group | Country | Inpatient/Outpatient | Diagnostic Modality |
|---|---|---|---|---|---|---|---|---|
| 1 | Kularatne 200511 | 2001–2002 | 239 | 28–30 | Adult | Sri Lanka | Inpatient | Ag/Ab |
| 2 | Limkittikul 200512 | 2002 | 53 | 10.2 | Both | Thailand | Inpatient | PCR, Ag/Ab |
| 3 | Singh 200513 | 2002 | 185 | 26 | Adult | India | Inpatient | NR |
| 4 | Lee 200514 | 2005 | 100 | 52–70* | Adult | China | Inpatient | Ag/Ab |
| 5 | Sharma 200615 | 2003 | 27 | 29.8 | Adult | India | Inpatient | Ag/Ab |
| 6 | Armien 200816 | 2005 | 130 | Both | Panama | Outpatient | PCR, Ag/Ab | |
| 7 | Chuansumrit 200817 | 2002–2005 | 165 | NR | Ped | Thailand | Both | Ag/Ab |
| 8 | Lo 200918 | 2006 | 37 | 45.4 | Adult | Taiwan | Inpatient | PCR, Ag/Ab |
| 9 | Kularatne 200919 | 2006–2007 | 20 | 30 | Adult | Sri Lanka | Inpatient | Ag/Ab |
| 10 | Humayoun 201020 | 2008 | 110 | Adult | Pakistan | Inpatient | PCR, Ag/Ab | |
| 11 | Almas 201021 | NR | 699 | 31.9 | Adult | Pakistan | Inpatient | Ag/Ab |
| 12 | Mittal 201222 | 2010 | 135 | 8.3 | Ped | India | Inpatient | Ag/Ab |
| 13 | Bhattacharya 201323 | 2010 | 91 | NR | NR | India | Both | Ag/Ab |
| 14 | Nasim 201324 | 2009–2010 | 102 | 28 | Adult | Pakistan | Inpatient | Ag/Ab |
| 15 | Ho 201325 | 2007 | 376 | NR | Both | Taiwan | Both | PCR, Ag/Ab |
| 16 | Ahmed 201426 | 2010 | 353 | 37.1 | Both | Pakistan | Both | Clinical Scoring System‡ |
| 17 | Verma 201427 | 2010–2013 | 58 | 31.4 | Adult | India | Both | Ag/Ab |
| 18 | Kittitrakul 201528 | 2000–2002 | 127 | 26.4 | Adult | Thailand | Both | Ag/Ab |
| 19 | Soundravally 202129 | 2012–2013 | 48 | 25.06 | Both | India | Both | PCR, Ag/Ab |
| 20 | Trojánek 201530† | 2004–2013 | 132 | 33 | Adult | Czech Republic | Both | Ag/Ab |
| 21 | Ng 201631 | 2004–2008 | 2843 | 34 | Adult | Singapore | Inpatient | PCR |
| 22 | Thanachartwet 201632 | 2013–2015 | 162 | 24.5 | Adult | Thailand | Inpatient | PCR, Ag/Ab |
| 23 | Diaz-Quijano 201833 | 2014–2015 | 219 | 9.8 | Ped | Brazil | Outpatient | PCR, Ag/Ab |
| 24 | Pradeepa 201834 | NR | 15 | 41.2 | Adult | India | Inpatient | Ag/Ab |
| 25 | Temprasertrudee 201835 | 2013–2015 | 357 | 27.9 | Adult | Thailand | Inpatient | Ag/Ab |
| 26 | John 201936 | 2014–2018 | 159 | 31.3 | NR | India | Inpatient | Ag/Ab |
| 27 | Saba 201937 | 2015 | 361 | NR | Both | Pakistan | Inpatient | Ag/Ab |
| 28 | Kumar 202038 | 2019 | 55 | 7.8 | Ped | India | Inpatient | Ag/Ab |
| 29 | Sharma 202239 | NR | 50 | NR | Ped | India | Inpatient | Ag/Ab |
| 30 | Sarin 202240 | 2014 and 2019 | 184 | 40.7 | Adult | India | Inpatient | Ag/Ab |
| 31 | Trojánek 202341† | 2004–2019 | 313 | 34 | Adult | Czech Republic | Both | Ag/Ab |
Ag/Ab = antigen or antibody-based assay; Adult = adult patients as defined by the study; both = both adults and pediatric patients; NR = not recorded; NA = not applicable; Ped = pediatric patients as defined by the study; PCR = polymerase chain reaction assay; Sn = serial number.
Average age was 70 years in the dual-infection group and 52 years in the no coinfection group.
There could be possible overlap in the two studies.
The scoring system has a sensitivity and specificity of 91% and 87%, respectively. This did not include any laboratory tests.
Twenty studies were included in the final meta-analysis.11,13,14,16,17,20,22,24–26,28,30–33,35–39 In the Joanna Briggs Institute appraisal tool, of the eight criteria for evaluation, the description of exposure criteria did not apply to any of the studies. Of the seven applicable criteria, all studies met at least five criteria. Only two studies addressed confounding.32,33 The mean duration of fever in all included patients was 5.1 (95% CI: 4.7–5.5) days, ranging from 3 to 7.4 days (Figure 2). The mean duration in adult and pediatric patients was 5.2 (95% CI: 4.6–5.8) and 5.2 (95% CI: 4.5–5.9) days, respectively (Supplemental Figures 1 and 2). Longer duration of fever was seen in those with a higher grade of fever, those with higher disease severity and those with a concurrent bacterial infection.14,22,24 It must be noted here that there was significant heterogeneity in the results (I2 = 97.4%).
Figure 2.
Pooled estimates of mean duration of fever in patients with dengue. Wherever available, the duration of fever in all study patients has been included. In those studies where duration was reported according to the subgroups, the subgroup names have been added after the first author’s name. Those subgroups with <20 cases were not included in the meta-analysis. The study name in the first column includes the name of the first author, followed by the year of publication, special characteristics of the population (if any), and age group (overall, adult, pediatric).
Of the 12 studies on chikungunya (n = 1468) included in the systematic review, the mean duration of fever in patients with chikungunya was 4.2 (95% CI: 3.6–4.7) days (Supplemental Figure 3). The details of the included studies for chikungunya have been compiled in Supplemental Table 2.
DISCUSSION
The mean duration of fever in patients with dengue was 5.1 days (95% CI: 4.7–5.5 days). This was significantly higher than the mean duration of fever in chikungunya (4.2 [95% CI: 3.6–4.7] days). The duration of fever in adult and pediatric patients was similar. Most of the patients in this review were diagnosed by reliable diagnostic methods, such as PCR and/or antigen/antibody-based methods. Even though IgM serology can be cross-reactive with other flaviviruses and can persist in individuals after asymptomatic infection, they are less likely to be falsely positive in patients with relevant clinical features presenting during an outbreak.51 Considering the retrospective nature of studies and the duration of fever rarely being the primary outcome, it might be assumed that the estimate of actual fever duration might vary from the reported time. However, the greater representation of admitted patients in the studies adds some credibility to the reported estimates because temperature is routinely and reliably measured during hospitalization.
Some studies reported the duration of fever in different subgroups. In a study by Mittal et al.,22 fever duration was longer in severe forms of dengue (mean duration in dengue hemorrhagic fever 6.2 ± 3.1 days, mean duration in dengue shock syndrome 6.5 ± 4.7) compared with those with milder forms (mean duration 5.7 ± 2.1 days). In the study by Temprasertrudee et al.,35 the duration of fever was longer in severe disease (median duration 4 days, interquartile range [IQR]: 3–5) compared with nonsevere disease (median duration 3 days; IQR: 2–4). However, the difference was not significant. Similarly, Ng et al.31 found that the severity of dengue was associated with a longer duration of fever in dengue patients. Given that the latter study predominantly included patients with severe dengue, the overall average duration of fever was slightly longer (6.3 days).31 This is similar to the study on chikungunya patients by Hayd et al.,52 where patients with chikungunya arthritis (4.9 days) had a longer duration of fever compared with those without arthritis (3.2 days). In the study by Kularatne et al.,11 the duration of fever between patients with primary and secondary dengue was not significantly different. Although secondary dengue is expected to be more severe, in this study, the frequency of bleeding in the two groups was similar, explaining the comparability between the two arms. In a study by Limkittikul et al.,12 the average duration of fever varied with the serotypes, but the difference was not significant.
Although one of the studies included kidney transplant recipients, no identified studies compared the duration of fever in dengue patients with or without immunosuppression.24 While the effect of various forms of immunosuppression on fever duration in dengue is unclear, diabetes mellitus (DM) was associated with longer fever duration among patients with chikungunya. The study by Jean-Baptiste et al.53 showed that the duration of fever was longer in chikungunya patients with DM (5.1 days) than in patients without DM (3.7 days).
Longer duration of fever has been cited as a common cause for concurrent antibiotic administration in patients with dengue.5 Rampant antibiotic administration in endemic settings can have a far-reaching impact on antimicrobial resistance, thus it is important to understand the prevalence of bacterial coinfections in dengue and the relation between the duration of fever and bacterial coinfection.5 We found four studies focusing on bacterial coinfections in dengue, two of which were not included because they did not mention the duration of fever.54,55 In the study by Ng et al.,31 prolonged fever (fever for more than 7 days) was seen in 20% of the patients. Compared with 0.5% of nosocomial infections in patients without prolonged fever, 3.6% of the patients with prolonged fever had nosocomial infections.31 In the study by Lee et al.,14 concurrent bacteremia in dengue was evaluated, but the authors explicitly differentiated concurrent bacteremia from nosocomial bacteremia by including only those patients whose blood cultures were positive within the first 3 days of illness. Patients with concurrent bacteremia were found to have a longer duration of fever (8 days versus 4 days).14 In the absence of other factors predicting bacterial coinfections in patients with dengue, duration of fever can be considered for the decision to send blood cultures. Our meta-analysis found that the upper limit of 95% CI was 5.5 days, and we suggest that this can be taken as the cutoff for sending blood cultures.
Although the objective of this SRMA was to look at the average duration of fever, we did collect information on the pattern of fever whenever it was reported. In a study by Nasim et al.,24 fever duration was longer in those with fever >38°C (5.6 days) than those with a fever of <38°C (3.4 days). Dengue fever has also been traditionally described as a biphasic fever with a saddleback pattern. In the study by Ng et al.,31 saddleback fever was seen in 6% of the patients. In this study, the saddleback pattern was defined as two fever peaks separated by ≥24 hours of defervescence, and the second peak lasted for ≥24 hours.31 In the study by Pradeepa et al.,34 three peaks in a single day were characteristically described in patients with dengue.
This review had several limitations. All the included studies were observational, mostly dealing with retrospective data. Duration of fever was never the primary outcome in the included studies. Few studies described the temperature cutoffs, site of temperature assessment, definition of defervescence, and exclusion of the use of antipyretics. The lack of a standardized definition of characterizing fever led to increased baseline heterogeneity. This heterogeneity in the definition of the primary outcome of our review made it challenging to rely on the pooled estimates. Citation searching was done for only included articles and reviews were excluded; thus, some articles could have been missed.
CONCLUSION
In conclusion, the average duration of fever in patients with dengue is approximately 5 days. Patients with severe dengue and those with concurrent infections can have a longer duration of fever. In the absence of risk factors for concurrent bacteremia, it might be prudent to avoid unnecessary antimicrobials in those with dengue fever of less than 5.5 days.
Supplemental Materials
Note: Supplemental materials appear at www.ajtmh.org.
REFERENCES
- 1. Leung XY, Islam RM, Adhami M, Ilic D, McDonald L, Palawaththa S, Diug B, Munshi SU, Karim MN, 2023. A systematic review of dengue outbreak prediction models: Current scenario and future directions. PLoS Negl Trop Dis 17: e0010631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. World Health Organization , 2023. Dengue—Global Situation. Available at: https://www.who.int/emergencies/disease-outbreak-news/item/2023-DON498. Accessed February 8, 2024.
- 3. Fisher R, Lustig Y, Sklan EH, Schwartz E, 2023. The role of NS1 protein in the diagnosis of flavivirus infections. Viruses 15: 572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Soo KM, Khalid B, Ching SM, Chee HY, 2016. Meta-analysis of dengue severity during infection by different dengue virus serotypes in primary and secondary infections. PLoS One 11: e0154760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Adrizain R, Setiabudi D, Chairulfatah A, 2019. The inappropriate use of antibiotics in hospitalized dengue virus-infected children with presumed concurrent bacterial infection in teaching and private hospitals in Bandung, Indonesia. PLoS Negl Trop Dis 13: e0007438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Page MJ. et al. , 2021. PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ 372: n160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Wallace BC, Dahabreh IJ, Trikalinos TA, Lau J, Trow P, Schmid CH, 2012. Closing the gap between methodologists and end-users: R as a computational back-end. J Stat Softw 49: 1–15. [Google Scholar]
- 8. Wan X, Wang W, Liu J, Tong T, 2014. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol 14: 135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Cochrane Handbook for Systematic Reviews of Interventions Available at: https://training.cochrane.org/handbook. Accessed June 27, 2023.
- 10. Joanna Briggs Institute JBI’s Tools Assess Trust, Relevance & Results of Published Papers: Enhancing Evidence Synthesis. JBI. Available at: https://jbi.global/critical-appraisal-tools. Accessed June 27, 2023.
- 11. Kularatne SAM, Gawarammana IB, Kumarasiri PRV, 2005. Epidemiology, clinical features, laboratory investigations and early diagnosis of dengue fever in adults: A descriptive study in Sri Lanka. Southeast Asian J Trop Med Public Health 36: 686–692. [PubMed] [Google Scholar]
- 12. Limkittikul K, Yingsakmongkon S, Jittmittraphap A, Chuananon S, Kongphrai Y, Kowasupathr S, Rojanawatsirivit C, Mammen MP, Jr., Jampangern W, 2005. Clinical differences among PCR-proven dengue serotype infections. Southeast Asian J Trop Med Public Health 36: 1432–1438. [PubMed] [Google Scholar]
- 13. Singh NP, Jhamb R, Agarwal SK, Gaiha M, Dewan R, Daga MK, Chakravarti A, Kumar S, 2005. The 2003 outbreak of dengue fever in Delhi, India. Southeast Asian J Trop Med Public Health 36: 1174–1178. [PubMed] [Google Scholar]
- 14. Lee IK, Liu JW, Yang KD, 2005. Clinical characteristics and risk factors for concurrent bacteremia in adults with dengue hemorrhagic fever. Am J Trop Med Hyg 72: 221–226. [PubMed] [Google Scholar]
- 15. Sharma N, Mahi S, Bhalla A, Singh V, Varma S, Ratho RK, 2006. Dengue fever related acalculous cholecystitis in a north Indian tertiary care hospital. J Gastroenterol Hepatol 21: 664–667. [DOI] [PubMed] [Google Scholar]
- 16. Armien B, Suaya JA, Quiroz E, Sah BK, Bayard V, Marchena L, Campos C, Shepard DS, 2008. Clinical characteristics and national economic cost of the 2005 dengue epidemic in Panama. Am J Trop Med Hyg 79: 364–371. [PubMed] [Google Scholar]
- 17. Chuansumrit A, Chaiyaratana W, Pongthanapisith V, Tangnararatchakit K, Lertwongrath S, Yoksan S, 2008. The use of dengue nonstructural protein 1 antigen for the early diagnosis during the febrile stage in patients with dengue infection. Pediatr Infect Dis J 27: 43–48. [DOI] [PubMed] [Google Scholar]
- 18. Lo CH, Ben RJ, Chen CD, Hsueh CW, Feng NH, 2009. Clinical experience of dengue fever in a regional teaching hospital in southern Taiwan. J Intern Med Taiwan 20: 248–254. [Google Scholar]
- 19. Kularatne SAM, Gihan MC, Weerasinghe SC, Gunasena S, 2009. Concurrent outbreaks of chikungunya and dengue fever in Kandy, Sri Lanka, 2006–07: A comparative analysis of clinical and laboratory features. Postgrad Med J 85: 342–346. [DOI] [PubMed] [Google Scholar]
- 20. Humayoun MA, Waseem T, Jawa AA, Hashmi MS, Akram J, 2010. Multiple dengue serotypes and high frequency of dengue hemorrhagic fever at two tertiary care hospitals in Lahore during the 2008 dengue virus outbreak in Punjab, Pakistan. Int J Infect Dis IJID Off Publ Int Soc Infect Dis 14 ( Suppl 3 ): e54–e59. [DOI] [PubMed] [Google Scholar]
- 21. Almas A, Parkash O, Akhter J, 2010. Clinical factors associated with mortality in dengue infection at a tertiary care center. Southeast Asian J Trop Med Public Health 41: 333–340. [PubMed] [Google Scholar]
- 22. Mittal H, Faridi MMA, Arora SK, Patil R, 2012. Clinicohematological profile and platelet trends in children with dengue during 2010 epidemic in north India. Indian J Pediatr 79: 467–471. [DOI] [PubMed] [Google Scholar]
- 23. Bhattacharya N, Bandyopadhyay B, Bhattacharjee I, Mukherjee H, Talukdar S, Mondal R, Pramanick N, Chandra G, Hati AK, 2013. Retrospective analysis of dengue specific IgM reactive serum samples. Asian Pac J Trop Dis 3: 143–145. [Google Scholar]
- 24. Nasim A, Anis S, Baqi S, Akhtar SF, Baig-Ansari N, 2013. Clinical presentation and outcome of dengue viral infection in live-related renal transplant recipients in Karachi, Pakistan. Transpl Infect Dis Off J Transplant Soc 15: 516–525. [DOI] [PubMed] [Google Scholar]
- 25. Ho TS, Wang SM, Lin YS, Liu CC, 2013. Clinical and laboratory predictive markers for acute dengue infection. J Biomed Sci 20: 75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Ahmed A, Alvi AH, Butt A, Nawaz AA, Hanif A, 2014. Assessment of dengue fever severity through liver function tests. J Coll Physicians Surg–Pak JCPSP 24: 640–644. [PubMed] [Google Scholar]
- 27. Verma S, Kanga A, Singh D, Verma GK, Mokta K, Ganju SA, Sharma V, 2014. Emergence of travel: Associated dengue fever in a non-endemic, hilly state. Adv Biomed Res 3: 239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Kittitrakul C, Silachamroon U, Phumratanaprapin W, Krudsood S, Wilairatana P, Treeprasertsuk S, 2015. Liver function tests abnormality and clinical severity of dengue infection in adult patients. J Med Assoc Thail Chotmaihet Thangphaet 98 ( Suppl 1 ): S1–S8. [PubMed] [Google Scholar]
- 29. Soundravally R, Sherin J, Agieshkumar BP, Daisy MS, Cleetus C, Narayanan P, Kadhiravan T, Sujatha S, Harichandrakumar KT, 2015. Serum levels of copper and iron in dengue fever. Rev Inst Med Trop São Paulo 57: 315–320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Trojánek M, Maixner J, Sojková N, Kynčl J, Roháčová H, Marešová V, Stejskal F, 2016. Dengue fever in Czech travellers: A 10-year retrospective study in a tertiary care centre. Travel Med Infect Dis 14: 32–38. [DOI] [PubMed] [Google Scholar]
- 31. Ng DH, Wong JG, Thein TL, Leo YS, Lye DC, 2016. The significance of prolonged and saddleback fever in hospitalised adult dengue. PLoS One 11: e0167025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Thanachartwet V, Wattanathum A, Sahassananda D, Wacharasint P, Chamnanchanunt S, Khine Kyaw E, Jittmittraphap A, Naksomphun M, Surabotsophon M, Desakorn V, 2016. Dynamic measurement of hemodynamic parameters and cardiac preload in adults with dengue: A prospective observational study. PLoS One 11: e0156135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Diaz-Quijano FA, Figueiredo GM, Waldman EA, Figueiredo WM, Cardoso MRA, Campos SRC, Costa AA, Pannuti CS, Luna EJA, 2019. Comparison of clinical tools for dengue diagnosis in a pediatric population-based cohort. Trans R Soc Trop Med Hyg 113: 212–220. [DOI] [PubMed] [Google Scholar]
- 34. Pradeepa HD, Rao SB, Ganaraj B, Gopalakrishna B, Chakrapani M, 2018. Tri-phasic fever in dengue fever. Trop Doct 48: 93–97. [DOI] [PubMed] [Google Scholar]
- 35. Temprasertrudee S, Thanachartwet V, Desakorn V, Keatkla J, Chantratita W, Kiertiburanakul S, 2018. A multicenter study of clinical presentations and predictive factors for severe manifestation of dengue in adults. Jpn J Infect Dis 71: 239–243. [DOI] [PubMed] [Google Scholar]
- 36. John KJ, Gunasekaran K, Prasad JD, Mathew D, Das S, Sultan N, Abraham AM, Iyyadurai R, 2019. Predictors of major bleeding and mortality in dengue infection: A retrospective observational study in a tertiary care centre in south India. Interdiscip Perspect Infect Dis 2019: 4823791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Saba S, Khan AUR, Naeem-Ullah U, Bokhari SHM, 2019. Clinical profiles of dengue fever patients, during an outbreak. J Arthropod Borne Dis 13: 126–134. [PMC free article] [PubMed] [Google Scholar]
- 38. Kumar R, Sekhar G, Ananthi N, Kalyani M, 2020. Clinical profile, laboratory investigations and outcome in dengue positive children in south India. Int J Res Pharm Sci 30: 175–180. [Google Scholar]
- 39. Sharma RC, Meena M, 2022. An observational study to correlate the clinical profile with laboratory investigations and radiological findings in dengue fever at tertiary care center. Eur J Mol Clin Med 9: 10467–10472. [Google Scholar]
- 40. Sarin SM, Anirudhan J, Kadeeja Beevi B, Pramod VK, 2022. Changing clinical profile of dengue fever epidemic in north Kerala—A retrospective study. J Clin Diagn Res 16: OC23–OC26. [Google Scholar]
- 41. Trojánek M, Grebenyuk V, Manďáková Z, Sojková N, Zelená H, Roháčová H, Stejskal F, 2023. Epidemiology of dengue, chikungunya and Zika virus infections in travellers: A 16-year retrospective descriptive study at a tertiary care centre in Prague, Czech Republic. PLoS One 18: e0281612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Win MK, Chow A, Dimatatac F, Go CJ, Leo YS, 2010. Chikungunya fever in Singapore: Acute clinical and laboratory features, and factors associated with persistent arthralgia. J Clin Virol 49: 111–114. [DOI] [PubMed] [Google Scholar]
- 43. Balasubramaniam SM, Krishnakumar J, Stephen T, Gaur R, Appavoo N, 2011. Prevalence of chikungunya in urban field practice area of a private medical college, Chennai. Indian J Community Med 36: 124–127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Patil SS, Patil SR, Durgawale PM, Patil AG, 2013. A study of the outbreak of Chikungunya fever. J Clin Diagn Res 7: 1059–1062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Ramachandran V, Kaur P, Kanagasabai K, Vadivoo S, Murhekar MV, 2014. Persistent arthralgia among chikungunya patients and associated risk factors in Chennai, South India. J Postgrad Med 60: 3–6. [DOI] [PubMed] [Google Scholar]
- 46. Razmy AM, 2014. Clinical features of chikungunya infection in Sri Lanka. Asian Pac J Trop Dis 4: 131–134. [Google Scholar]
- 47. McGraw IT, Dhanani N, Ray LA, Bentley RM, Bush RL, Vanderpool DM, 2015. Rapidly evolving outbreak of a febrile illness in rural Haiti: The importance of a field diagnosis of chikungunya virus in remote locations. Vector Borne Zoonotic Dis Larchmt N 15: 678–682. [DOI] [PubMed] [Google Scholar]
- 48. Chusri S. et al. , 2014. Kinetics of chikungunya infections during an outbreak in southern Thailand, 2008–2009. Am J Trop Med Hyg 90: 410–417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Kutsuna S, Kato Y, Katanami Y, Yamamoto K, Takeshita N, Hayakawa K, Kanagawa S, Ohmagari N, 2018. A retrospective single-center analysis of 16 cases of imported chikungunya fever in Japan. Intern Med 57: 325–328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Haddaway NR, Page MJ, Pritchard CC, McGuinness LA, 2022. PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Syst Rev 18: e1230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Gomes da Silva P, Seixas Dos Reis JA, Nogueira Rodrigues M, da Silva Ardaya Q, Mesquita JR, 2023. Serological cross-reactivity in zoonotic flaviviral infections of medical importance. Antibodies Basel Switz 12: 18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Hayd RLN, Moreno MR, Naveca F, Amdur R, Suchowiecki K, Watson H, Firestein GS, Simon G, Chang AY, 2020. Persistent chikungunya arthritis in Roraima, Brazil. Clin Rheumatol 39: 2781–2787. [DOI] [PubMed] [Google Scholar]
- 53. Jean-Baptiste E, von Oettingen J, Larco P, Raphaël F, Larco NC, Cauvin MM, Charles R, 2016. Chikungunya virus infection and diabetes mellitus: A double negative impact. Am J Trop Med Hyg 95: 1345–1350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. See KC, Phua J, Yip HS, Yeo LL, Lim TK, 2013. Identification of concurrent bacterial infection in adult patients with dengue. Am J Trop Med Hyg 89: 804–810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Thein TL, Ng EL, Yeang MS, Leo YS, Lye DC, 2017. Risk factors for concurrent bacteremia in adult patients with dengue. J Microbiol Immunol Infect Wei Mian Yu Gan Ran Za Zhi 50: 314–320. [DOI] [PubMed] [Google Scholar]
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