Evidence map›Paper›PMID 39501205›Full record

ArticleBMC infectious diseases2024

Are viral loads in the febrile phase a predictive factor of dengue disease severity?

Shashika Dayarathna, Heshan Kuruppu, Tehani Silva, Laksiri Gomes, N L Ajantha Shyamali, Chandima Jeewandara, Dinuka Ariyaratne, Shyrar Tanussiya Ramu, Ananda Wijewickrama, Graham S Ogg and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Shashika DayarathnaAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Heshan KuruppuAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Tehani SilvaAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Laksiri GomesAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
N L Ajantha ShyamaliAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Chandima JeewandaraAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Dinuka AriyaratneAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Shyrar Tanussiya RamuAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Ananda WijewickramaNational Institute of Infectious Diseases, Angoda, Sri Lanka.
Graham S OggMRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Gathsaurie Neelika MalavigeAllergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka. gathsaurie.malavige@ndm.ox.ac.uk.

Funding

American Asian Centers for Arbovirus Research and Enhanced Surveillance (A2CARES)U01AI151788 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Josefina Coloma, Eva Harris · 2020 to 2026
$9.6M
National Institute of Allergy and Infectious Diseases 5U01AI151788-02NIAID NIH HHS U01 AI151788World Bank Group None
6 · The paper itself

Abstract

backgroundAs many studies have shown conflicting results regarding the extent of viraemia and clinical disease severity, we sought to investigate if viraemia during early dengue illness is associated with subsequent clinical disease severity.

methodsRealtime PCR was carried out to identify the dengue virus (DENV serotype), in 362 patients, presenting within the first 4 days of illness, from 2017 to 2022, in Colombo Sri Lanka. To characterize subsequent clinical disease severity, all patients were followed throughout their illness daily and disease severity classified according to WHO 1997 and 2009 disease classification.

results263 patients had DF, 99 progressed to develop DHF, and 15/99 with DHF developed shock (DSS). Although the viral loads were higher in the febrile phase in patients who progressed to develop DHF than in patients with DF this was not significant (p = 0.5). Significant differences were observed in viral loads in patients infected with different DENV serotypes (p = 0.0009), with lowest viral loads detected in DENV2 and the highest viral loads in DENV3. Sub-analysis for association of viraemia with disease severity for each DENV serotype was again not significant. Although those infected with DENV2 had lower viral loads, infection with DENV2 was significantly associated with a higher risk of developing DHF (p = 0.011, Odds ratio 1.9; 95% CI 1.164 to 3.078). Based on the WHO 2009 disease classification, 233 had dengue with warning signs (DWW), 114 dengue without warning signs (DWoWS), and 15 had severe dengue (SD). No significant difference was observed in the viral loads between those with SD, DWW and DWoWS (p = 0.27).

conclusionsViral loads were significantly different in the febrile phase between different DENV serotypes, and do not appear to significantly associate with subsequent clinical disease severity in a large Sri Lankan cohort.

Indexed as

DengueDengue VirusSeverity of Illness IndexViral LoadAdolescentAdultAgedChildChild, PreschoolFemaleFeverHumansMaleMiddle AgedSerogroupSevere Dengue

Identifiers

PMID39501205
PMCPMC11539692

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.