Literature DB >> 35878158

Mapping the global landscape of chikungunya rapid diagnostic tests: A scoping review.

José Moreira1,2, Patrícia Brasil1, Sabine Dittrich3,4, André M Siqueira1.   

Abstract

BACKGROUND: Chikungunya (CHIKV) is a reemerging arboviral disease and represents a global health threat because of the unprecedented magnitude of its spread. Diagnostics strategies rely heavily on reverse transcriptase-polymerase chain reaction (RT-PCR) and antibody detection by enzyme-linked Immunosorbent assay (ELISA). Rapid diagnostic tests (RDTs) are available and promise to decentralize testing and increase availability at lower healthcare system levels.
OBJECTIVES: We aim to identify the extent of research on CHIKV RDTs, map the global availability of CHIKV RDTs, and evaluate the accuracy of CHIKV RDTs for the diagnosis of CHIKV. ELIGIBILITY CRITERIA: We included studies reporting symptomatic individuals suspected of CHIKV, tested with CHIKV RDTs, against the comparator being a validated laboratory-based RT-PCR or ELISA assay. The primary outcome was the accuracy of the CHIKV RDT when compared with reference assays. SOURCES OF EVIDENCE: Medline, EMBASE, and Scopus were searched from inception to 13 October 2021. National regulatory agencies (European Medicines Agency, US Food and Drug Administration, and the Brazilian National Health Surveillance Agency) were also searched for registered CHIKV RDTs.
RESULTS: Seventeen studies were included and corresponded to 3,222 samples tested with RDTs between 2005 and 2018. The most development stage of CHIKV RDTs studies was Phase I (7/17 studies) and II (7/17 studies). No studies were in Phase IV. The countries that manufacturer the most CHIKV RDTs were Brazil (n = 17), followed by the United States of America (n = 7), and India (n = 6). Neither at EMA nor FDA-registered products were found. Conversely, the ANVISA has approved 23 CHIKV RDTs. Antibody RDTs (n = 43) predominated and demonstrated sensitivity between 20% and 100%. The sensitivity of the antigen RDTs ranged from 33.3% to 100%.
CONCLUSIONS: The landscape of CHIKV RDTs is fragmented and needs coordinated efforts to ensure that patients in CHIKV-endemic areas have access to appropriate RDTs. Further research is crucial to determine the impact of such tests on integrated fever case management and prescription practices for acute febrile patients.

Entities:  

Mesh:

Year:  2022        PMID: 35878158      PMCID: PMC9352193          DOI: 10.1371/journal.pntd.0010067

Source DB:  PubMed          Journal:  PLoS Negl Trop Dis        ISSN: 1935-2727


Introduction

Chikungunya—a reemerging arboviral disease caused by Chikungunya virus (CHIKV)—is transmitted by mosquitoes of the Aedes species, specifically Aedes aegypti, Aedes albopictus, and Aedes polynesiensis [1]. The disease is characterized by the classic triad of debilitating polyarthralgia, high-grade fever, and myalgia [1]. During the past years, we have seen an unprecedented magnitude of the disease spreading across the globe (i.e., 106 countries/territories reported autochthonous or travel-related transmission), affecting millions of people in the Americas, Asia, the Indian subcontinent, Europe, and in the Pacific islands [2]. One of the challenges imposed by CHIKV has been the correct identification of suspected individuals in the context of co-circulation of other arboviruses that present similarly in tropical regions [3]. Laboratory diagnosis has been mainly focused on either RNA or virus-specific antibody detection through reverse transcriptase-polymerase chain reaction (RT-PCR) and enzyme-linked Immunosorbent assay (ELISA) technique, respectively. However, such diagnostic technologies require complex instrumentation and are not easy to perform outside sophisticated laboratories in urban settings where trained personnel are available. Therefore, these tests are not accessible or affordable to patients at the lower healthcare system levels, where most CHIKV outbreaks occur. In contrast, rapid diagnostic tests (RDTs) promise to overcome some of these challenges by bridging many gaps along the diagnostic test pathway in CHIKV-endemic areas. RDTs have become available for detecting CHIKV and are reported to have variable performance and operational characteristics [4-6]. Much remains unknown regarding how these tests increase the efficiency of the health systems if introduced appropriately, how acceptable they are for patients and health care providers, and how cost-effective they are, given the poor state of many countries’ economies primarily impacted by CHIKV. Thus, we aim to (i) identify the extent of research on CHIKV RDTs; (ii) provide a comprehensive landscape of CHIKV RDTs available globally; (iii) evaluate the performance of CHIKV RDTs for the diagnosis of CHIKV in symptomatic individuals when compared with a reference standard; and (iv) identify knowledge gaps and further research related to CHIKV RDTs.

Methods

We followed the PRISMA Extension for Scoping Reviews (Prisma-ScR) guidance from the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network [7]. The Prisma-ScR checklist is available in S1 PRISMA Checklist.

Eligibility criteria

Search terms were based on a PICO (population, intervention, comparator, and outcome) framework. The population encompassed symptomatic febrile individuals suspected of CHIKV infection. The intervention used CHIKV RDTs, either in developmental or commercially available, to diagnose CHIKV infection, with the comparator being a validated laboratory-based RT-PCR or ELISA assay. The primary outcome was the accuracy of the CHIKV RDT when compared with reference assays. Articles were excluded if (i) the studies were reviews, case reports, or opinion articles; (ii) the studies evaluated the performance of reverse transcription loop-mediated isothermal amplification (RT-LAMP) assays; (iii) the studies were related to an outbreak investigation without the evaluation of the accuracy of CHIKV RDTs; (iv) the studies used an inappropriate study population (asymptomatic individuals); (v) the studies described inappropriate reference assays to assign true positive/true negative status to study samples; and (vi) studies that were related to other arboviruses. CHIKV RDT was defined as a rapid (≤60 min) point-of-care (POC) assay that requires minimal instrumentation to provide actionable results. We classified the stage of CHIKV RDT assay development in 4 phases: Phase I, which consist of the prototype evaluation process; Phase II evaluation under ideal conditions using convenience or archived samples; Phase III evaluations under ideal conditions assessing the performance and operation characteristics of the index test in a target population; and Phase IV, which are assessments of the impact of diagnostics on the prevalence of infection, the incidence of infection, or incidence of complications.

Information sources

Medline, EMBASE, and Scopus electronic databases were searched from inception to 13 October 2021 to identify relevant publications in peer-reviewed journals as original scientific research. Additional studies were identified through manual searches of the reference lists of identified papers. The electronic database search was supplemented by searching at major tropical medicine conference abstracts repositories and the manufacturer’s official website to seek relevant published reports. The final search results were exported into Mendeley to manage citations identified. In order to provide a comprehensive assessment of diagnostic products that are in the developmental phase and commercialization, we conducted searches in national regulatory agencies (i.e., European Medicines Agency, US Food and Drug Administration, and the Brazilian National Health Surveillance Agency) websites looking for registered CHIKV RDTs and a free search through the Google search engine.

Search

The search in Medline was performed using the following terms: chikungunya or “chikungunya virus” or “chikungunya fever” and “rapid diagnostic test” or “rapid test”. There was no language or time restriction. After deleting duplicates, the literature review group systematically screened the title, abstract, and full text of each study’s inclusion and exclusion criteria.

Data charting process

Data were extracted independently from the selected studies by 2 authors and recorded into a standard form designed for this study. Discrepancies were resolved by mediation and discussion with other reviewers if needed. The standardized data abstraction tool captured the relevant information on key study characteristics and detailed information on all metrics used to estimate the accuracy of the CHIKV RDTs. Key variables that were systematically extracted include the year of investigation, geographical location, study design, type of RDT assay, time of illness onset to testing, reference assay, sample size, and diagnostic accuracy parameters (if available). If a study evaluated more than 1 RDT assay, we extracted the data related to each assay type. When articles did not provide sufficient information on relevant data, we contacted the authors via email for additional information.

Critical appraisal of individual sources of evidence

The quality of each diagnostic accuracy study was assessed following QUADAS-2 guidelines [8].

Synthesis of results

Data from all studies were aggregated, and frequency statistics were run to describe the population across all studies. Tableau Desktop Professional Edition (Tableau software, LLC, version 2021.1.0, Seattle, Washington, United States) and GraphPad Prism (GraphPad Software, version 8.0, San Diego, California, US) were used to represent the evidence visually.

Results

Search results

The initial search identified 271 potential studies for evaluation (S1 PRISMA Flowchart). After duplicates were removed, a total of 185 citations were identified from searches of electronic databases. Based on the tile and the abstract, 96 were excluded, with 89 full-text articles retrieved and assessed for eligibility. The remaining 17 studies were considered eligible for this review (all apart from 1 reported diagnostic accuracy metric).

Description of studies

A summary of the included studies is shown in Table 1. The main countries where the CHIKV patients were sourced were India (3/17 studies, 17.6%), Thailand (3/17 studies, 17.6%), Indonesia (2/17 studies, 11.7%), and Aruba (2/17 studies, 11.7%) (S1 Fig). CHIKV RDTs studies were Phases I (7/17 studies, 41.1%) and II (7/17 studies, 41.1%) in most included studies. Two studies were Phase III [4,9]. No study was Phase IV. Sample recruitment used case-control methodologies (13/17 studies, 76.4%), a prospective cohort design (3/17 studies, 17.6%), or described the development of a pilot RDT assay (1/17 studies, 5.8%) [10]. Description of the tested population and the setting where they were applied was almost absent in the studies.
Table 1

Characteristics of included studies evaluating Chikungunya antibody or antigen-based rapid diagnostic tests, 2005–2018.

First author, year [Reference]LocationStudy designAssayAssay’s phase of diagnostic developmentSettingAge (years)Severity
Reddy A and colleagues 2020 [22] Honduras and ColombiaCase-controlE1/E2-Antigen testPhase INDNDND
Suzuki and colleagues 2020 [5] Aruba and BangladeshCase-controlE1-Antigen testPhase INDNDND
Lee H and colleagues 2020 [11] NDCase-controlichroma Chikungunya virus (IgG/IgM)Phase IINDNDND
Kim WS and colleagues 2019 [12] NDCase-controlChikungunya IgM/IgG (GenBody)Phase IINDNDND
Wang R and colleagues 2019 [19] ColombiaCase-controlDENV IgG/IgMCHIKV IgG/IgMPhase IND18–74ND
Huits R and colleagues 2018 [6] Mauritius, Réunion, India, Thailand, French Polynesia, ArubaCase-controlE1-Ag testPhase INDNDND
Jain J and colleagues 2018 [21] IndiaCase-controlE1-Ag testPhase INDNDND
Lee S and colleagues 2016 [10] NDDevelopment studyDENV IgG/IgMCHIKV IgG/IgMPhase INDNDND
Burdino E and colleagues 2016 [13] Caribbean and Latin AmericaProspective recruitmentOnSite Chikungunya IgM Combo Rapid test-NDNDND
Johnson BW and colleagues 2016 [18] NDCase-controlOnSite CHIKV IgM Combo Rapid testSD BIOLINE Chikungunya IgMPhase IINDNDND
Okabayashi T and colleagues 2015 [20] Thailand, Laos, Indonesia, and SenegalCase-controlE1-Ag testPhase INDNDND
Prat CM and colleagues 2014 [14] NDCase-controlSD BIOLINE Chikungunya IgMOnSite Chikungunya IgM Combo Rapid testPhase IINDNDND
Kosasih H and colleagues 2012 [15] IndonesiaCase-controlOnSite Chikungunya IgM Rapid testSD BIOLINE Chikungunya IgM testPhase IINDNDND
Arya SC and colleagues 2011 [16] IndiaCase-controlOnSite Chikungunya IgM Rapid testPhase IINDNDND
Yap G and colleagues 2010 [17] SingaporeCase-controlOnSite Chikungunya IgM Combo Rapid testPhase IINDNDSevere
Rianthavorn P and colleagues 2010 [4] ThailandProspective recruitmentOnSite Chikungunya IgM Combo Rapid testPhase IIINDNDND
Mistretta M and colleagues 2009 [9] ItalyProspective recruitmentOnSite Chikungunya IgM Combo Rapid testPhase IIINDNDND

Phases of diagnostics developments are classified in 4 phases: Phase I, which consist of prototype evaluation process; Phase II evaluation under ideal conditions using convenience or archived samples; Phase III evaluations under ideal conditions assessing the performance and operation characteristics of product in target populations; and Phase IV, which are assessments of impact of diagnostics on prevalence of infection, incidence of infection, or incidence of complications.

ICT, immunochromatographic assay; IQR, interquartile range; ND, not described.

Phases of diagnostics developments are classified in 4 phases: Phase I, which consist of prototype evaluation process; Phase II evaluation under ideal conditions using convenience or archived samples; Phase III evaluations under ideal conditions assessing the performance and operation characteristics of product in target populations; and Phase IV, which are assessments of impact of diagnostics on prevalence of infection, incidence of infection, or incidence of complications. ICT, immunochromatographic assay; IQR, interquartile range; ND, not described.

Global availability of Chikungunya RDTs

Table 2 shows the characteristics of CHIKV RDTs developed or commercialized for POC applications. The countries that manufacturer the most CHIKV RDTs were Brazil (n = 17), followed by the United States of America (n = 7), South Korea (n = 7), and India (n = 6) (Fig 1).
Table 2

Characteristics of Chikungunya rapid diagnostic tests developed or commercialized for point-of-care application.

ManufacturerManufacturer countryProduct nameAnalytesQuoted accuracy (Sn/Sp)Storage temperature (°C)SampleFormatSample volume (uL)Reading time (min)
ARKRAY JapanE1-Ag testE1NANASDS3015
Boditech Med South KoreaiChromaIgG/IgMNANAS, P, WIC3012
Meridian Bioscience USATruQuick CHIKV IgG/IgM 40 TIgG/IgMIgG: 94.3/97IgM: 90.3/99.92–30S, P, WIC4015
Biotest ChinaMedTest Chikungunya ML-02IgM/IgG99.9/99.92–30S, P, WIC4015
Oscar Medicare Pvt IndiaOscar Chikungunya testIgM/IgGNA2–30S, PICNANA
Bio Footprints Healthcare Pvt. IndiaMytest One Step Chikungunya IgM Test kitIgMNANAS, PICNANA
LumiQuick Diagnostics USAChikungunya test kit QuickProfileIgG/IgMNA4–30S, P, WICNANA
INTERMEDICAL ItalyChikungunya IgM Rapid TestIgM96.9/98.62–30S, P, WIC5015
Neo Nostics ChinaChikungunya IgG/IgM Rapid testIgG/IgMNA2–30S, P, WICNANA
Anand Enterprises IndiaChikungunya IgM One StepIgMNANAS, PICNANA
BIOZEK Medical NetherlandsChikungunya IgG/IgM Rapid Test CassetteIgG/IgMNANAS, P, WICNANA
Atlas Link Technology Co. ChinaNOVAtest Chikungunya IgG/IgM Rapid Test CassetteIgG/IgMNANAS, P, WICNA15
SD BIONSENSOR South KoreaSTANDARD Q Chikungunya IgM/IgGIgM/IgGIgM: 100/97.6IgG: 100/99.62–40S, P, WIC1015–20
SD BIONSENSOR South KoreaSTANDARD F Chikungunya IgM/IgG FIAIgM/IgGNA2–30S, P, WFIA15
SD BIONSENSOR South KoreaSTANDARD Q Arbo Panel I (Z/D/C/Y)IgM (ZIKV, DENV, CHIKV, YFV), DENV NS1NA2–40S, P, WIC10–10015–20
Tulip Diagnostics IndiaINSIGHT ChikvIgM4–30S, W5–1015
Biopanda Reagents UKChikungunya IgG/IgM Rapid TestIgG/IgMIgG: 94.3/97IgM: 90.3/99.92–30S, P, WIC15
GenBody South KoreaChikungunya IgM/IgGIgM/IgGIgM: 97.1/98.5IgG: 98/982–30S, P, WIC30–6015–20
BHAT Bio-Scan IndiaChikungunya IgM Spot TestIgMNA2–8S, PICNA15
Acro Biotech USAImmunoassay Ivd Chikungunya Rapid Diagnostic Test kitIgG, IgMNANAS, P, WICNANA
J. Mitra & Co. Pvt. IndiaAdvantage Chikungunya IgM CardIgM97.5/99.12–30S, P, WIC7015
JP BioGen Diagnostics GreeceChikungunya IgM TESIgM97.1/91.1NAS, P, WIC50–10010
ICT Diagnostics South AfricaChikungunya IgG/IgM Rapid Test CassetteIgG/IgMIgG: 94.3/97IgM: 90.3/99.92–40S, P, WIC4015
Diagnostic Automation/Cortez Diagnostics USAOneStep Chikungunya IgG/IgM Combo RapiCardInstaTestIgG, IgMNA4–30S, P, WIC515
HWTAi BioTec ChinaRapid chikungunya testIgMNANAS, P, WICNANA
Teco Diagnostics USAChikungunya IgMIgMNANAS, P, WICNANA
Biocan Diagnostics CanadaChikungunya IgG/IgM Ab Rapid TestIgG/IgMNANAS, P, WICNANA
Biocan Diagnostics CanadaZika IgG/IgM Ab, Dengue IgG/IgM & NS1 Ag & Chikungunya IgG/IgM Ab Combo TestIgM, IgG, NS1NANAS, P, WICNANA
Bioditech Med South Koreaichroma CHIKV IgG/IgMIgG, IgMNANAS, P, WIC3012
Standard Diagnostics South KoreaSD Bioline Chikungunya IgMIgM97.1/98.91–30S, P, WIC50–10010
CTK Biotech USAOnSiteChikungunya IgM Combo Rapid TestIgM90.4/982–30S, P, WIC515
Chembio Diagnostics USADPP Chikungunya IgM/IgG assayIgM/IgGNA2–30S, P, WIC1015
Bio-Manguinhos BrazilDPP ZCD IgM/IgGIgM,IgGIgM: 100/99.4IgG: 100/1002–30S, P, WIC1015
Orange Life BrazilOL Combo Chikungunya /NS1DENV NS1/CHIKV IgMNS1:92.8/98.4IgM: 98.5/99.5NAS, P, WICNA15–20
Orange Life BrazilOL Combo Chikungunya Dengue -IgG/IgGDENV IgM/IgGCHIKV IgMDENV IgM/IgG: 99.5/98.5CHIKV IgM: 98.5/99.5NAS, P, WICNA15–20
Orange Life BrazilOL Chikungunya IgMIgM98.5/99.5NAS, P, WICNA15–20
Orange Life BrazilOL Chikungunya IgG/IgMIgM/IgGIgM/IgG: 98.5/98.5NAS, P, WICNA15–20
Eco Diagnostica BrazilChikungunya IgG/IgM ECO TestIgG/IgMIgG: 100/99.6IgM: 100/97.62–30S, P, WIC1015
Eco Diagnostica BrazilChikungunya IgM ECO TestIgM90.3/1002–30S, P, WIC30–4515
Bahiafarma BrazilChikungunya IgM RDTIgM94/952–30S, P, WIC30–6010
Ebram Ltda. BrazilChikungunya IgG/IgMIgG/IgMIgG: 94.3/97IgM: 90/99.92–30S, P, WIC4015–20
WAMA Diagnostica BrazilImmuno-Rapido Chikungunya IgG/IgMIgG/IgMIgG: 100/99.3IgM:100/97.92–30S, P, WIC1015–20
Biocon diagnosticos BrazilChikungunya Test (IgG/IgM)IgG/IgMIgG: 94.3/97IgM: 90.3/99NAS, PICNA15
Biocon diagnosticos BrazilChikungunya IgM TestIgM96.6/98NAWICNA15

DS, dipstick; FIA, fluorescent immunoassay; IC, immunochromatographic assay; NA, not available; P, plasma; S, serum; Sn/sp, sensitivity/specificity; W, whole blood.

Fig 1

Number of CHIKV RDTs developed or commercialized for POC application by country of manufacture.

The world map was created, edited, and colored using Microsoft Excel for Mac, version 16.61.1. Public domain link to map base layer used in creating the figure is available: https://commons.wikimedia.org/wiki/File:BlankMap-World.svg. CHIKV, Chikungunya; POC, point-of-care; RDT, rapid diagnostic test.

Number of CHIKV RDTs developed or commercialized for POC application by country of manufacture.

The world map was created, edited, and colored using Microsoft Excel for Mac, version 16.61.1. Public domain link to map base layer used in creating the figure is available: https://commons.wikimedia.org/wiki/File:BlankMap-World.svg. CHIKV, Chikungunya; POC, point-of-care; RDT, rapid diagnostic test. DS, dipstick; FIA, fluorescent immunoassay; IC, immunochromatographic assay; NA, not available; P, plasma; S, serum; Sn/sp, sensitivity/specificity; W, whole blood. Overall, the CHIKV RDT market is fragmented, but the manufacturer with the most products in the market is Chembio Diagnostics Brazil (n = 5 products) and SD BIOSENSOR (n = 3 products) (S2 Fig). Almost all assays are antibody-based RDTs (n = 43) designed in an immunochromatographic format. There were neither antigen-based RDTs nor a combination of antibody and antigen-based RDTs commercially available. Our searches for approved assays in national regulatory authorities did not find any assay registered by the European Medicines Agency or the US Food and Drug Administration. Conversely, the Brazilian National Health Surveillance Agency (ANVISA) has approved 23 CHIKV RDTs for clinical use. Of these, 5/23 (21.7%) were multiplex assays with targets concomitant for Dengue and Zika analytes. S1 Table shows the characteristics of CHIKV RDTs approved by the ANVISA.

Diagnostic accuracy results

Table 3 shows a summary of the diagnostic assessments included conducted between 2005 and 2018. In total, 3,222 samples were tested with RDTs across all the studies (S3 Fig). Sample types included whole blood, plasma, and serum. Eleven studies examined the performance of antibody-based RDTs [9,11-19], while 5 the antigen-based RDTs [5,6,20-22].
Table 3

Summary of diagnostic assessments of Chikungunya antibody or antigen-based rapid diagnostic tests, 2005–2018.

AssayStudy [reference]YearSample sizeTime from symptom onset to testing (days)Reference comparatorAnalyte targetSensitivity (95% CI)Specificity (95% CI)
Antibody-based RDT
ichroma Chikungunya virus (IgG/IgM)
Lee H and colleagues 2020 [11]ND256NDInbios IgM/IgG ELISAEuroimmun IgM/IgG ELISAIgMIgG100 (94.7–100)100 (92.4–100)99.4 (97.5–99.4)100 (98.3–100)
Chikungunya IgM/IgG (GenBody)
Kim WS and colleagues 2019 [12]2014770NDELISART-PCRIgMIgG8310097100
Multiplex RDT (under development)
Wang R and colleagues 2019 [19]ND50NDEuroimmun ELISAIgMIgG8310097100
OnSite Chikungunya IgM Rapid Test
Burdino E and colleagues 2016 [13]2014–201587–30Euroimmun IgM/IgG IFART-PCRIgM37.5100
Prat CM and colleagues 2014 [14]2005–201423NDIn-house IgM/IgG ELISAIn-house neutralization testIgM2093
Kosasih H and colleagues 2012 [15]ND1321 to ≥21In-house IgM ELISART-PCRIgM20.5100
Arya SC and colleagues 2011 [16]2010100IgM ELISAIgM35.7NA
Yap G and colleagues 2010 [17]20082253.75 to >7IgM IFAIn-house IgM ELISART-PCRIgM12.1100
Mistretta M and colleagues 2009 [9]2006–2008116NDEuroimmun IFAIgM8595
Johnson BW and colleagues 2016 [18]ND272–33CDC in-house MAC-ELISAIgM13.04 (2.78–33.59)100 (39.76–100)
SD Bioline Chikungunya IgM test
Prat CM and colleagues 2014 [14]2005–201423NDIn-house IgM/IgG ELISAIn-house neutralization testIgM3073
Kosasih H and colleagues 2012 [15]ND1321 to ≥21In-house IgM ELISART-PCRIgM50.889.2
Rianthavorn P and colleagues 2010 [4]20085271 to ≥14SD Bioline IgM ELISART-PCRIgM3785
Johnson BW and colleagues 2016 [18]ND312–33CDC in-house MAC ELISAIgM0100 (59–100)
Antigen-based RDT
E1-Antigen test
Huits R and colleagues 2018 [6]2006–20142014–201598≤10ECSA and Asian genotype CHIKV-specific RT-PCREuroimmun IgM/IgG IFAE1-antigen88.9 (56.5–98) for the ECSA genotype33.3 (19.2–51.2) for the Asian genotype83.1 (71.5–90.5)
Okabayashi T and colleagues 2015 [20]2008–20131121–14ECSA, Asian, and West African genotype CHIKV-specific RT-PCRNova Tec IgM ELISAE1-antigen91.2 for the ECSA genotype89.4 for the overall genotypes93.8 for the ECSA genotype94.4 for the overall genotypes
Jain J and colleagues 2018 [21]20161231–15IgM ELISART-PCRE1-antigen93.795.5
Suzuki K and colleagues 2020 [5]2014–20152017–2018280≤7IgM ELISART-PCRE1-antigen92100
E1/E2-lateral flow antigen test
Reddy A and colleagues 2020 [22]ND1891–5RT-PCRE1/E2-antigen62.5–100 for Honduras’ AB combination A62.5–100 for Honduras’ AB combination B77.7–100 for Colombia’ AB combination B92.3–100 for Honduras’ AB combination A75–100 for Honduras’ AB combination B85.7–100 for Colombia’s AB combination B

CI, confidence intervals; ECSA, East/Central/South/Africa chikungunya lineage/genotype; ELISA, enzyme-linked immunosorbent assay; IFA, immunofluorescence assay; IgM, immunoglobulin M; IgG, immunoglobulin G; IQR, interquartile range; ND, not defined; RT-PCR, reverse transcription polymerase chain reaction.

CI, confidence intervals; ECSA, East/Central/South/Africa chikungunya lineage/genotype; ELISA, enzyme-linked immunosorbent assay; IFA, immunofluorescence assay; IgM, immunoglobulin M; IgG, immunoglobulin G; IQR, interquartile range; ND, not defined; RT-PCR, reverse transcription polymerase chain reaction. The predominant CHIKV RDT assay evaluated in the studies was the OnSite Chikungunya IgM Combo Rapid test (CTK Biotech, Poway, CA, USA) in 8/16 (50%) studies, followed by the SD BIOLINE Chikungunya IgM test (Standard Diagnostics, Yongin-si, South Korea) in 3/16 (18.7%) studies. The most of antibody RDTs studies target IgM, while 3 studies target both IgM and IgG immunoglobulin components. Fig 2 shows the diagnostic accuracy for the OnSite Chikungunya IgM Combo Rapid test and SD BIOLINE Chikungunya IgM test.
Fig 2

Summary of diagnostic accuracy studies evaluating the OnSite Chikungunya IgM Combo Rapid test (CTK Biotech, Poway, CA, USA) and the SD BIOLINE Chikungunya IgM test (Standard Diagnostics, Yongin-si, South Korea).

Overall, the sensitivity of the RDT IgM component typically ranged between 20% and 100%. The sensitivity of the RDT IgG component was 100%. The RDT IgM specificity ranged from 73% to 100%, and the IgG specificity was 100%. Interestingly, some studies reported an increase in the overall sensitivity of antibody-based RDT over time [4,15]. There are 2 types of antigen-based RDTs evaluated—E1 and E1/E2-antigens tests. The sensitivity of the E1-antigen tests ranged from 33.3% to 100%. Conversely, the specificity varied between 83.1% and 100%.

Risk of bias assessment

Fig 3 summarizes the QUADAS-2 assessment by study. There were patient selection applicability concerns for most of the study (n = 14) because there was a lack of sufficient information reported in the studies regarding the patient population, demographic features, setting of the study, or presence of comorbidities. Similarly, there was a high risk of bias in the patient selection domain because only 2 studies enrolled a consecutive or random sample of eligible patients with suspicion of CHIKV infection to reduce the bias in the diagnostic accuracy of the index test.
Fig 3

QUADAS-2 assessment of studies.

Discussion

Summary of evidence

This scoping review identified 17 studies conducted between 2005 and 2018, addressing the research stage on CHIKV RDTs across various settings. Our findings indicate a paucity of research focusing on field trials and implementation studies related to CHIKV RDTs. Our work provides a global view of publicly available data on CHIKV RDTs currently under development or commercially available. We also found that the in vitro diagnostic medical device manufacturers are primarily concentrated on CHIKV antibody RDTs, and their accuracy overall performs poorly and should not be used in clinical settings as long as they suffer significant improvements [4,15]. Conversely, antigen RDTs, although still in a development phase, promise to have a high level of sensitivity and specificity across the distinct CHIKV genotypes [5,21]. Given the problems associated with the existing diagnostic strategies for CHIKV, there is a clear and urgent need for new, appropriate diagnostic tools for CHIKV that meet the ideal product profile of “REASSURED” diagnostics [23]. The characteristics of the diagnostics products mentioned above are defined by a set of criteria that includes: (i) real-time connectivity; (ii) ease of specimen collection; (iii) environmental friendliness; (iv) affordable by those at risk of infection; (v) sensitive (few false-negatives); (vi) specific (few false-positives); (vii) user-friendly (simple to perform and requiring minimal training); (viii) rapid (to enable treatment at first visit) and robust (does not require refrigerated storage); (xi) equipment-free; and (x) delivered to those who need it. Few products right now meet the ideal “REASSURED” profile, and new research and investments are required to develop those that match the profile needed. Pertinent questions about feasibility, acceptability, cost-effectiveness, sustainability, and policy implications must be addressed before the widespread use of CHIKV RDTs in endemic countries. More importantly, we also need to address the impact of CHIKV RDTs into integrated fever case management and how its implementation translates into a better prescription practice for acute febrile patients (i.e., reducing unnecessary antibiotic prescription). The CHIKV RDTs diagnostic landscape is fragmented, with many gaps along the development pathway. Fig 4 shows our proposed conceptual framework that delineates the challenges and opportunities across each stage of CHIKV RDT development. Concerted efforts leading by different stakeholders (i.e., international donors, industry, public sector, and end-users) should be put together to bring more equity to the availability of appropriate CHIKV RDTs to those needed most.
Fig 4

CHIKV RDTs: Fragmented landscape presents market challenges and opportunities for interventions.

CHIKV, Chikungunya; RDT, rapid diagnostic test; WHO, World Health Organization.

CHIKV RDTs: Fragmented landscape presents market challenges and opportunities for interventions.

CHIKV, Chikungunya; RDT, rapid diagnostic test; WHO, World Health Organization.

Limitations

Our work has limitations. Although we made a herculean effort to identify the highest numbers of CHIKV RDTs manufactured or commercially available in the market, we understand that some could not be identified and were not publicly available. However, we addressed this bias by looking into CHIKV RDTs that national/regional regulatory agencies have approved or those that provided data from unpublished sources (i.e., conference abstracts, manufacturers’ reports). Next, we did not provide an effect estimate for the results of diagnostic accuracy studies, because as shown in our risk of bias assessment, the studies included were very heterogeneous, and a meta-analytic approach would be useless.

Conclusions

Our scoping review demonstrated substantial gaps in the current diagnostic landscape of CHIKV RDTs. The future needs of immunoassay-based RDTs for CHIKV are summarized in Fig 5.
Fig 5

Future needs of immunoassay-based rapid diagnostic tests for CHIKV infection.

CHIKV, Chikungunya; RDT, rapid diagnostic test; WHO, World Health Organization.

Future needs of immunoassay-based rapid diagnostic tests for CHIKV infection.

CHIKV, Chikungunya; RDT, rapid diagnostic test; WHO, World Health Organization. The time is suitable for a collaborative, focused initiative between policy-makers and other relevant stakeholders to address the urgent need for new, appropriate CHIKV RDTs. Unprecedented opportunities for market interventions exist and utilize new technologies to make a significant, measurable impact. Further research is desperately needed to facilitate the incorporation of CHIKV RDTs into integrated fever algorithms, and socio-behavioral research should be done to evaluate end-user acceptability. Chikungunya is an emerging viral disease with outbreak potential. Access to timely, accurate diagnostics is fundamental to equitable and effective healthcare provision. The global landscape of chikungunya rapid diagnostic tests is fragmented and heavily depended on antibody rapid tests, which had a poor diagnostic performance. Addressing shortfalls in chikungunya rapid diagnostic testing must be an urgent priority and antigen rapid tests promise to reduce diagnostic gaps and improve access. Strong country leadership is needed to accelerate investment in research and product development and expand manufacturing capacity for diagnostics and surveillance. Fleming K, Horton S, Wilson M, Atun R, DeStigter K, Flanigan J, et al. The Lancet Commission on diagnostics: transforming access to diagnostics. Lancet. 2021;398(10315):1997–2050. Suzuki K, Huits R, Phadungsombat J, Tuekprakhon A, Nakayama EEEE, Van Den Berg R, et al. Promising application of monoclonal antibody against chikungunya virus E1-antigen across genotypes in immunochromatographic rapid diagnostic tests. Virol J. 2020;17:90. Reddy A, Bosch I, Salcedo N, Herrera BB, de Puig H, Narváez CF, et al. Development and Validation of a Rapid Lateral Flow E1/E2-Antigen Test and ELISA in Patients Infected with Emerging Asian Strain of Chikungunya Virus in the Americas. Viruses. 2020;12. Land KJ, Boeras DI, Chen X-S, Ramsay AR, Peeling RW. REASSURED diagnostics to inform disease control strategies, strengthen health systems and improve patient outcomes. Nat Microbiol. 2019;4:46–54. Johnson BW, Goodman CH, Holloway K, De Salazar PM, Valadere AM, Drebot MA. Evaluation of commercially available Chikungunya Virus Immunoglobulin M detection assays. Am J Trop Med Hyg. 2016;95:182–92.

Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist.

(DOCX) Click here for additional data file.

PRISMA flowchart diagram.

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Sources of Chikungunya samples evaluated for rapid diagnostic test, 2005–2018.

The world map was created, edited, and colored using Microsoft Excel for Mac, version 16.61.1. Public domain link to map base layer used in creating the figure is available: https://commons.wikimedia.org/wiki/File:BlankMap-World.svg. (TIFF) Click here for additional data file.

Global Chikungunya rapid diagnostic tests landscape—key players on industry, 2005–2018.

(TIF) Click here for additional data file.

Number of samples tested according to Chikungunya rapid diagnostic test, 2005–2018.

(TIFF) Click here for additional data file.

Characteristics of commercial Chikungunya rapid diagnostic tests for point-of-care application registered by the Brazilian National Health Surveillance Agency.

(DOCX) Click here for additional data file.
  20 in total

1.  Evaluation of a rapid assay for detection of IgM antibodies to chikungunya.

Authors:  Pornpimol Rianthavorn; Norra Wuttirattanakowit; Kesmanee Prianantathavorn; Noppachart Limpaphayom; Apiradee Theamboonlers; Yong Poovorawan
Journal:  Southeast Asian J Trop Med Public Health       Date:  2010-01       Impact factor: 0.267

Review 2.  Chikungunya virus and the global spread of a mosquito-borne disease.

Authors:  Scott C Weaver; Marc Lecuit
Journal:  N Engl J Med       Date:  2015-03-26       Impact factor: 91.245

3.  Two-Color Lateral Flow Assay for Multiplex Detection of Causative Agents Behind Acute Febrile Illnesses.

Authors:  Seoho Lee; Saurabh Mehta; David Erickson
Journal:  Anal Chem       Date:  2016-08-08       Impact factor: 6.986

Review 4.  Reliable Serological Diagnostic Tests for Arboviruses: Feasible or Utopia?

Authors:  Karen Kerkhof; Francesca Falconi-Agapito; Marjan Van Esbroeck; Michael Talledo; Kevin K Ariën
Journal:  Trends Microbiol       Date:  2019-12-18       Impact factor: 17.079

5.  Diagnostic accuracy of a rapid E1-antigen test for chikungunya virus infection in a reference setting.

Authors:  R Huits; T Okabayashi; L Cnops; B Barbé; R Van Den Berg; K Bartholomeeusen; K K Ariën; J Jacobs; E Bottieau; E E Nakayama; T Shioda; M Van Esbroeck
Journal:  Clin Microbiol Infect       Date:  2017-06-09       Impact factor: 8.067

6.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

7.  Evaluation of Chikungunya diagnostic assays: differences in sensitivity of serology assays in two independent outbreaks.

Authors:  Grace Yap; Kwoon-Yong Pok; Yee-Ling Lai; Hapuarachchige-Chanditha Hapuarachchi; Angela Chow; Yee-Sin Leo; Li-Kiang Tan; Lee-Ching Ng
Journal:  PLoS Negl Trop Dis       Date:  2010-07-20

8.  Promising application of monoclonal antibody against chikungunya virus E1-antigen across genotypes in immunochromatographic rapid diagnostic tests.

Authors:  Keita Suzuki; Ralph Huits; Juthamas Phadungsombat; Aekkachai Tuekprakhon; Emi E Nakayama; Riemsdijk van den Berg; Barbara Barbé; Lieselotte Cnops; Rummana Rahim; Abu Hasan; Hisahiko Iwamoto; Pornsawan Leaungwutiwong; Marjan van Esbroeck; Mizanur Rahman; Tatsuo Shioda
Journal:  Virol J       Date:  2020-07-02       Impact factor: 4.099

9.  Evaluation of Commercially Available Chikungunya Virus Immunoglobulin M Detection Assays.

Authors:  Barbara W Johnson; Christin H Goodman; Kimberly Holloway; P Martinez de Salazar; Anne M Valadere; Michael A Drebot
Journal:  Am J Trop Med Hyg       Date:  2016-03-14       Impact factor: 2.345

10.  Evaluation of an immunochromatography rapid diagnosis kit for detection of chikungunya virus antigen in India, a dengue-endemic country.

Authors:  Jaspreet Jain; Tamaki Okabayashi; Navjot Kaur; Emi Nakayama; Tatsuo Shioda; Rajni Gaind; Takeshi Kurosu; Sujatha Sunil
Journal:  Virol J       Date:  2018-05-11       Impact factor: 4.099

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