Risk prediction for severe disease and better diagnostic accuracy in early dengue infection; the Colombo dengue study.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
01 Aug 2019
Historique:
received: 19 03 2019
accepted: 22 07 2019
entrez: 3 8 2019
pubmed: 3 8 2019
medline: 8 10 2019
Statut: epublish

Résumé

A major challenge in dengue management in resource limited settings is the confirmation of diagnosis. Clinical features of dengue often overlap with other infections and molecular diagnostic tools are not readily accessible to clinicians at hospitals. In addition, the prediction of plasma leakage in dengue is also difficult. Hematocrit level and ultrasound scans (combined with clinical parameters) are helpful to detect plasma leakage once it has happened, not before. Colombo Dengue Study (CDS) is a prospective cohort study of clinically suspected adult dengue patients recruited from the National hospital of Sri Lanka (within the first 3 days of fever) that aimed to a) identify clinical and basic laboratory test parameters to differentiate dengue from non-dengue fever, b) evaluate the comparative efficacy of loop-mediated isothermal amplification (LAMP) for dengue diagnosis (vs. NS1 antigen test and RT-qPCR) and c) identify early associations that are predictive of plasma leakage or severe dengue. The basic laboratory tests considered here included hematological parameters, serum biochemistry and inflammatory markers. Only 70% of clinically suspected patients were confirmed as having dengue by either the NS1 antigen test or RT-qPCR. On a Bayesian latent class model which assumes no "gold standard", LAMP performed equally or better than RT-qPCR and NS1 antigen test respectively. When confirmed dengue patients were compared with others, the earlier group had significantly lower lymphocyte counts and higher aspartate aminotransferase levels (AST) within the first 3 days of fever. Confirmed dengue patients with plasma leakage had a lower mean age and a higher median baseline AST level compared to those without plasma leakage (p < 0.05). Clinical suspicion overestimates the true number of dengue patients. RT-LAMP is a potentially useful low-cost diagnostic tool for dengue diagnosis. Confirmed dengue patients had significantly higher AST levels and lower lymphocyte counts in early disease compared to others. In confirmed dengue patients, younger age and a higher AST level in early infection were associated with subsequent plasma leakage.

Sections du résumé

BACKGROUND BACKGROUND
A major challenge in dengue management in resource limited settings is the confirmation of diagnosis. Clinical features of dengue often overlap with other infections and molecular diagnostic tools are not readily accessible to clinicians at hospitals. In addition, the prediction of plasma leakage in dengue is also difficult. Hematocrit level and ultrasound scans (combined with clinical parameters) are helpful to detect plasma leakage once it has happened, not before.
METHODS METHODS
Colombo Dengue Study (CDS) is a prospective cohort study of clinically suspected adult dengue patients recruited from the National hospital of Sri Lanka (within the first 3 days of fever) that aimed to a) identify clinical and basic laboratory test parameters to differentiate dengue from non-dengue fever, b) evaluate the comparative efficacy of loop-mediated isothermal amplification (LAMP) for dengue diagnosis (vs. NS1 antigen test and RT-qPCR) and c) identify early associations that are predictive of plasma leakage or severe dengue. The basic laboratory tests considered here included hematological parameters, serum biochemistry and inflammatory markers.
RESULTS RESULTS
Only 70% of clinically suspected patients were confirmed as having dengue by either the NS1 antigen test or RT-qPCR. On a Bayesian latent class model which assumes no "gold standard", LAMP performed equally or better than RT-qPCR and NS1 antigen test respectively. When confirmed dengue patients were compared with others, the earlier group had significantly lower lymphocyte counts and higher aspartate aminotransferase levels (AST) within the first 3 days of fever. Confirmed dengue patients with plasma leakage had a lower mean age and a higher median baseline AST level compared to those without plasma leakage (p < 0.05).
CONCLUSION CONCLUSIONS
Clinical suspicion overestimates the true number of dengue patients. RT-LAMP is a potentially useful low-cost diagnostic tool for dengue diagnosis. Confirmed dengue patients had significantly higher AST levels and lower lymphocyte counts in early disease compared to others. In confirmed dengue patients, younger age and a higher AST level in early infection were associated with subsequent plasma leakage.

Identifiants

pubmed: 31370795
doi: 10.1186/s12879-019-4304-9
pii: 10.1186/s12879-019-4304-9
pmc: PMC6676631
doi:

Substances chimiques

Biomarkers 0
Aspartate Aminotransferases EC 2.6.1.1

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

680

Subventions

Organisme : University of Colombo
ID : AP /3/2/2017/CG /25
Organisme : University of Calgary,Canada
ID : -

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Auteurs

Ponsuge Chathurani Sigera (PC)

Department of Parasitology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.

Ranmalee Amarasekara (R)

Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary, Canada.

Chaturaka Rodrigo (C)

Department of Pathology, School of Medical Sciences, UNSW Sydney, Kensington, Australia.

Senaka Rajapakse (S)

Department of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.

Praveen Weeratunga (P)

Department of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.

Nipun Lakshita De Silva (NL)

Department of Clinical Medicine, Faculty of Medicine, General Sir John Kotelawala Defence University, Colombo, Sri Lanka.

Chun Hong Huang (CH)

Department of Pathology, Stanford University School of Medicine, Standford, USA.

Malaya K Sahoo (MK)

Department of Pathology, Stanford University School of Medicine, Standford, USA.

Benjamin A Pinsky (BA)

Department of Pathology, Stanford University School of Medicine, Standford, USA.
Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Standford, USA.

Dylan R Pillai (DR)

Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary, Canada.

Hasitha A Tissera (HA)

National Dengue Control Unit, Colombo, Sri Lanka.

Saroj Jayasinghe (S)

Department of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.

Shiroma Handunnetti (S)

The Institute of Biochemistry, Molecular Biology and Biotechnology, Colombo, Sri Lanka.

Sumadhya D Fernando (SD)

Department of Parasitology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka. deepika@parasit.cmb.ac.lk.

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Classifications MeSH