Diagnostic accuracy of the WHO clinical definitions for dengue and implications for surveillance: A systematic review and meta-analysis

Autor: Stuart D. Blacksell, Shanghavie Loganathan, Mavuto Mukaka, Richard J. Maude, Nader Raafat
Jazyk: angličtina
Rok vydání: 2021
Předmět:
RNA viruses
Viral Diseases
Databases
Factual
Epidemiology
RC955-962
Pathology and Laboratory Medicine
Dengue fever
Dengue Fever
Dengue
0302 clinical medicine
Medical Conditions
Arctic medicine. Tropical medicine
Medicine and Health Sciences
Public and Occupational Health
030212 general & internal medicine
Virus Testing
Regression analysis
Research Assessment
3. Good health
Systematic review
Infectious Diseases
Medical Microbiology
Meta-analysis
Viral Pathogens
Viruses
Public aspects of medicine
RA1-1270
Pathogens
Research Article
Neglected Tropical Diseases
medicine.medical_specialty
Systematic Reviews
030231 tropical medicine
MEDLINE
Bivariate analysis
Research and Analysis Methods
World Health Organization
Microbiology
Sensitivity and Specificity
Diagnosis
Differential
03 medical and health sciences
Diagnostic Medicine
medicine
Humans
Microbial Pathogens
Protocol (science)
Biology and life sciences
Flaviviruses
business.industry
SARS-CoV-2
Public health
Public Health
Environmental and Occupational Health
Organisms
COVID-19
Covid 19
Dengue Virus
medicine.disease
Tropical Diseases
Medical Risk Factors
Emergency medicine
business
Zdroj: PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases, Vol 15, Iss 4, p e0009359 (2021)
ISSN: 1935-2735
1935-2727
Popis: Background Dengue is the world’s most common mosquito-borne virus but remains diagnostically challenging due to its nonspecific presentation. Access to laboratory confirmation is limited and thus most reported figures are based on clinical diagnosis alone, the accuracy of which is uncertain. This systematic review assesses the diagnostic accuracy of the traditional (1997) and revised (2009) WHO clinical case definitions for dengue fever, the basis for most national guidelines. Methodology/Principal findings PubMed, EMBASE, Scopus, OpenGrey, and the annual Dengue Bulletin were searched for studies assessing the diagnostic accuracy of the unmodified clinical criteria. Two reviewers (NR/SL) independently assessed eligibility, extracted data, and evaluated risk of bias using a modified QUADAS-2. Additional records were found by citation network analysis. A meta-analysis was done using a bivariate mixed-effects regression model. Studies that modified criteria were analysed separately. This systematic review protocol was registered on PROSPERO (CRD42020165998). We identified 11 and 12 datasets assessing the 1997 and 2009 definition, respectively, and 6 using modified criteria. Sensitivity was 93% (95% CI: 77–98) and 93% (95% CI: 86–96) for the 1997 and 2009 definitions, respectively. Specificity was 29% (95% CI: 8–65) and 31% (95% CI: 18–48) for the 1997 and 2009 definitions, respectively. Diagnostic performance suffered at the extremes of age. No modification significantly improved accuracy. Conclusions/Significance Diagnostic accuracy of clinical criteria is poor, with significant implications for surveillance and public health responses for dengue control. As the basis for most reported figures, this has relevance to policymakers planning resource allocation and researchers modelling transmission, particularly during COVID-19.
Author summary Dengue is the most common mosquito-borne disease worldwide, with half the world’s population living in at-risk areas, yet it remains difficult to diagnose. Existing laboratory tests have highly variable performance, and access to them remains limited in most dengue-endemic regions. Thus, most dengue cases are diagnosed on clinical criteria alone. While national guidelines vary, most are based on the WHO case definitions, produced in 1997 and revised in 2009. Here, we assess the diagnostic accuracy of both definitions and find that they have good sensitivity but poor specificity, particularly problematic given the co-circulation of multiple febrile illnesses in these regions. This makes it difficult for policymakers and researchers to model transmission, assess the introduction of new pathogens to a region, and correctly prioritise control measures and vaccination programmes in a region-specific manner. This is exacerbated by the ongoing COVID-19 pandemic, given rising cases of both diseases and the stark difference in necessary control measures. As such, improvements in dengue diagnostic and reporting practice are increasingly urgent. This could be achieved by incorporating symptom absence into clinical criteria, weighting symptoms depending on strength of association with dengue or timing within disease course, or using clinical criteria to allocate limited testing resources in borderline cases.
Databáze: OpenAIRE
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